Dr. Anindita Chakrabarty is Assistant Professor at the School of Law, Mahindra University. She has a Ph.D. in Social Sciences from Tata Institute of Social Sciences (TISS), Mumbai. Her doctoral thesis is titled, ‘Migration Question in Assam: Exploring Belonging in Native‒Migrant Discourse’. It examines the present Indian state of Assam which has been witness to ongoing contestations around binary identities of native/indigenous, outsider/migrant identities, or the legal/illegal. She teaches Sociology at the School of Law.

In her academic career, as a student and researcher, Dr. Anindita has engaged with community workers, grassroot activists, and academicians. Her specialisation areas comprise Research Methodology (with specific focus on Qualitative methods), Migration and Diaspora Studies, Gender Studies, and South Asian Studies, and broadly the field of Sociology and Political Anthropology. Dr. Anindita has published research articles and book reviews in international peer‒reviewed journals, and has also contributed chapters in edited volumes.

Her research interests include state, citizenship, governance, and migration studies. Her research traverses through the identity contestations in the borderlands of India and Bangladesh, wherein she has specifically explored the borderland districts of West Bengal and Assam. She further aims to explore citizenship discourses evolving in the Global South.

  • Assistant Professor School of Law MU (Sept 2021 – Present )
  • Doctor of Philosophy (Ph.D.) in Social Sciences from Tata Institute of Social Sciences, Mumbai, India (2017‒2021). Doctoral thesis title: ‘Migration Question in Assam: Exploring Belonging in Native‒Migrant Discourse’
  • Master of Philosophy (M.Phil.) in Social Sciences from Tata Institute of Social Sciences, Mumbai, India (2015‒17). M.Phil Thesis title: ‘Undocumented Bangladeshi Migrants─ A Study in West Bengal’
  • Master of Arts (M.A.) in Sociology from the Department of Sociology, University of Pune, India (2011‒13).
  • Bachelor of Arts (B.A.) with honours in Sociology from Rani Birla Girls’ College under the University of Calcutta, Kolkata, India (2008‒2011)

Chapters in Edited Books and Journal Articles
  • Chakrabarty, A. (2024). Structural Intersections, Hierarchical Citizenship and Criminalization of the Migrant in Assam. Critical Criminology. https://doi.org/10.1007/s10612-024-09787-z
  • Chakrabarty, A. and Chakraborty, A. (2024). How has Covid‒19 pandemic impacted undocumented migrants’ children? Locating Precarity and Marginalisation in India. In B. Jojo & A. Dutta (Eds.), Children and Scars of COVID‒19 Pandemic in India: Issues and Challenges. Routledge.
  • Chakrabarty, A. (2022). Negotiations and Navigation: Migrant Lives in a Borderland District. In N. Chowdhory & P. Banerjee (Eds.), Gender, Identity and Migration in India. Singapore: Palgrave Macmillan.
  • Chakrabarty, A. (2022). The One‒Dimensional Man─ Unravelling identity of a New Indian subject. In M.K. Jha & Pushpendra (Eds.), Beyond Consumption: India’s New Middle Class in Neo‒liberal times (pp. 249‒264). London and New York: Routledge.
  • Chakrabarty, A., Jha, M.K. (2021). Social Construction of Migrant Identities: Everyday Life of Bangladeshi Migrants in West Bengal. Community & Development Journal.https://doi.org/10.1093/cdj/bsab003
  • Chakrabarty, A. (Forthcoming). Negotiations and Navigation: Migrant Lives in a Borderland District. In N. Chowdhory & P. Banerjee (Eds.),Gender, Identity and Migration in India. Palgrave Macmillan. 2021
  • Chakrabarty, A. (2020). Migrant Identity at the Intersection of Post‒colonialism and Modernity. Journal of Migration Affairs, II(2). DOI: 10.36931/jma.2020.2.2.100‒116.
  • Chakrabarty, A. (Forthcoming). The One‒Dimensional Man─ Unravelling identity of a New Indian subject. In M.K. Jha & Pushpendra (Eds.),Beyond Consumption: India’s New Middle Class in Neo‒liberal times. Routledge.
  • Chakrabarty, A. (2016). Bangladesh vis‒a‒vis cross‒border migration to India and Identities‒ A critical geopolitical understanding. Journal of Social and Economic Studies, XXVI(1‒2), 96‒110.
  • Chakrabarty, A. (2016). Saraswati Reincarnated: Representing the Body of a Female Vocalist. The Apollonian, 3(1 & 2).
  • Chakrabarty, A. (2016). Religion as a Panopticon: Traces in Indian Society and Polity. In S. Kar (Ed.), Religion and Society (pp. 73‒80). Kolkata: Monoshokti Publishers.
  • Chakrabarty, A. (2013). Growing up as a gendered person. In M. Tamcke, & G. Jathana (Eds.), Body, Emotion and Mind: Embodying the Experiences in Indo‒European Encounters (pp. 71‒83). Zurich: LIT Verlag Münster.
Book Reviews
  • Chakrabarty, A. (2020). Ranabir Samaddar (Ed.), Burdens of an Epidemic: A Policy Perspective on Covid‒19 and Migrant Labour. Journal of Social Inclusion Studies. 6(2), 211‒214. https://doi.org/10.1177/2394481121995989
  • Chakrabarty, A. (2020). Ranabir Samaddar (Ed.), Borders of an Epidemic: COVID–19 and Migrant Workers. The International Journal of Community and Social Development, 2(2), 286–287. https://doi.org/10.1177/2516602620935679
  • Chakrabarty, A. (2021). Manohar Pawar (Ed.), Covid‒19 Pandemic: Impact on and Implications for Community and Social Development. The International Journal of Community and Social Development, 2(4), 489–490. https://doi.org/10.1177/2516602620935679 2021
Articles and Book Reviews in Magazines

  • Has worked as Project‒Assistant on ‘Experience, Aspiration and Struggles: A Study of New Middle Classes in India’ (funded by ICSSR) at the School of Social Work, Tata Institute of Social Sciences (TISS), Mumbai.
  • Has worked as Project‒Assistant and Teaching‒Assistant for M.A. students at the Department of Sociology Savitribai Phule Pune University.

Her research interests include:

  • Borderlands
  • Citizenship
  • Gender Studies
  • Governance
  • Health Migration
  • Intersectionality Theory
  • Migration
  • South‒Asian Studies

Principal Investigator for the project on “Coping up with climate change: Unpacking ‘resilience’ in West Bengal and Assam”; Research Grant for 2 years, approved by Mahindra University, Hyderabad in September, 2022.

Co‒Investigator for the project on ‘Exploring Remote Ecologies: Gender, Conservation and Livelihood in Assam’; Research Grant for 1 year, approved by GITAM University in October, 2023.

Ms. Mandeep Kaur is research…. Keen teaching and research interests in all areas of law. She created individualized plans and programs to facilitate a…. She earned her Ph.D. in November 2020 from the Institute of Law, Jiwaji University, Gwalior, focusing on an empirical study on “Role of Police Investigation and Low Conviction Rate in Corruption Cases: A Study with Special Reference to the State of Madhya Pradesh”. For her LL.B. degree, she was placed third on the University Merit List. She actively participates in the faculty workshop series, conferences, and other facets of the intellectual life of the law school. She developed course material, assessments, and research papers for assigned groups at different stages. She judged the 1st National Mock Trial Competition held at the Institute of Law, Jiwaji University, Gwalior in 2019. She worked as the chief editor of the Chronicle magazine at the Mahatma Gandhi College of Law, Gwalior, where she also coordinated a range of major seminars during her time there. She appeared in and qualified for the All-India Bar Exam (AIBE). She has to her credit sixteen research papers focused on corruption, cyber security, judicial behavior, media trials and juvenile justice system in India, freedom of speech and expression, social media effects, delay in execution of death sentences, human rights and COVID-19 etc. She recently authored a book chapter on Constitutional Law with the ISBN 978-81-941524-3-9, which was published by Law Learners in response to Justice Deepak Misra’s 2019 National Call for Chapters.

Her primary interest areas for research are criminal law, rights of Indigenous people, public policy, human rights, and socio-economic offences that are intended to examine the use of legal provisions and to enhance the understanding of current legal issues. She is currently working on a paper concerning the rights of indigenous people in India. She has instructed students in a variety of subjects, including constitutional law, professional ethics, election laws, human rights laws, socio-economic offences, law justice and globalization, law of torts, legal English, etc.

Proven expertise in:

  • Teaching Assistance & Support
  • Lesson Planning & Delivery
  • Student Performance Evaluation
  • Coaching & Mentoring Method
  • Departmental Operations Management
  • Syllabus / Material Preparation
  • Students’ Issues Management
  • Key Relationships Development
  • Grading Assignments & Performance
  • Learning Opportunities developments

Ph.D. (LAW) | 2020

  • Institute of Law, Jiwaji University – Gwalior, India Thesis: An Empirical study on “Role of the police investigation and low conviction rate in corruption
    cases: A study with reference to the state of Madhya Pradesh”

LL.M. (Human Rights) | 2012

  • Jiwaji University – Gwalior, India

LL.B. | 2010

  • Jiwaji University – Gwalior, India

B. Com | 2007

  • KRG College – Gwalior, India

Diploma | 2021

  • NALSAR University of Law, Hyderabad (Directorate of Distance Education) Course: One Year Advanced Diploma in International Humanitarian Law (Pursuing)

Professional Qualification

  • AIBE qualified (All India Bar Exam 2013)
  • Diplomas in Computer Application
  • LMS (Learning Management System) Trained

  • Anti-Corruption Agency: Strengthening Initiative, published in Journal of Emerging Technologies and Innovative Research (Research Paper- ISSN No. 2349-5162)
  • Addressing Corruption through Information and Organized Networking (Action): A Survey Inclusion of Cyber Crime and Prevention, published in International Journal of Science & Engineering Development Research (Research Paper- ISSN No. 2455-2631)
  • Protection of Children Juvenile Justice system in India: A review (Research Paper- ISSN No. 2456-3870)
  • Right to Vote: A New Dimension Presented at International Conference on Electoral Reforms in India Through Voter’s Awareness (sponsored by UGC
  • Working and judicial approach towards juvenile justice system in India based on Supreme Court judgments (Presented at National Seminar on Juvenile Delinquency: Changing Contours)
  • Media Trial: Judgmental View (Presented at National seminar on Multidisciplinary Approach Towards Social Transformation in India)
  • Role of Media in Conserving Environment: – A Socio-Legal Analysis Presented at International Conference on Sustainable Development and Climate Change Date- 10 And 11 Feb 2020
  • Role of Legal Education in Transforming Life: A Socio-Legal Perspective Presented at National Conference on Transformation of Lives and Society in Today’s Scenario Driven by Education Date- 18 And 19 January 2020
  • Delay in the execution of death sentence: An empirical study of Judicial Behaviour (Sambodhi Journal, UGC Care approved volume 43, no. 4 (D) October-December 2020)
  • Published Chapter on Juvenile Justice System in India: An overview of Supreme Court Judgments in Book namely Global Thoughts and Opinion of the Constitution and Constitutionalism: An Edited Compilation from Justice Dipak Misra National Call for Chapters on Changing Facets and Legal Dynamism 2019 Edited by Prof. Dr. N.K. Chakrabarti VC NUJS 2019
  • Published Article on Chanakya in MGCL Chronicle (Law Magazine of Mahatma Gandhi College of Law) 2019
  • Published Debate on Euthanasia in MGCL Chronicle (Law Magazine of Mahatma Gandhi College of Law) 2019
  • Presented Research Paper in 6th national conference organized by BVM college of Management and education on Role of Legal Education in Transforming Life- A socio Legal Perspective 2019
  • Role of Indian Police in the Maintenance of Law and Order and Enforcement of Human Rights: Analysis of COVID-19 Challenges. (Shikshan Soudha- ISSN 2249-2429, Volume 9, issue 4, July September, 2021 UGC Care approved Journal)
  • Danger for Democracy: Comparative Analysis of Effects of Social Media, Published in Kala Sarovar, UGC Care Group I Journal, Vol- 24 No. 01 (c) January- March 2021, ISSN: 09754520

    • Assistant professor, Sep 2021 to present

    • Teaching courses in the discipline area of law and developing and designing curriculum plans to foster student learning, stimulate class discussions, and ensure student engagement.
    • Providing tutoring and academic counselling to students, accurately maintaining class-related records, and assessing student coursework.
    • Efficiently directing a group of students’ batches of 40/60 students in one class.
    • Reporting to a department head, providing intellectual leadership, and making significant contributions to the field.
    • Coordinating and supporting colleagues regarding research interests and co-curricular activities.
    • Coordinated Several Events i.e. RTI Day, Constitutional Day, Panel Discussions.

    Assistant Professor, Mar 2019 to Sep 2021

    • Assisted with different departmental duties and provided academic support to Professors and other staff.
    • Taught and supported undergraduate and graduate students. Prepared and delivered lectures and answered questions in class and via email/telephone.
    • Provided Professors and Department Heads with feedback on student progress.
    • Conducted research and published papers in academic journals.
    • Coordinated Several Committees i.e. GSSC, LMS, Examination
    • Conducted Viva for Post graduate, graduate and undergraduate Students as an Internal Member.

    Assistant Professor, Jun 2018 to Mar 2019

    • Documented student progress and maintained records, including attendance and student learning outcomes.
    • Supervised graduate assistants, undergraduate majors, and student employees.
    • Oversaw the design and development of the overall curriculum.
    • Collaborated with colleagues to evaluate, develop, and revise curricula.
    • Organised National Seminars as Coordinator

    Coordinator, Jun 2018 to Mar 2019

    • Prepared and maintained student records according to policies and administrative regulations.
    • Guided students on academic goals and educational issues.
    • Assisted students on course selection, study habits, and career selection.
    • Conducted Viva for Post graduate, graduate and undergraduate Students as an Internal Member.
    • Convener of SOL Exam Committee, Mahindra University, Hyderabad
    • Co-Convener of Centre for Constitutional Studies, School of Law Mahindra University
    • Co- Convener of Arbitration Centre, School of Law Mahindra University
    • Observer at National Testing Agency, NTA from September 2020 to Present
    • Dissertation Guide for Final Semester students (Continuously from 2020)
    • Review member for UGC approved journal, i.e., IJRAR (International journal of research and analytical review) E-ISSN 2348-1269, P- ISSN 2349-5138, Member ID – 114881
    • Ph.D. Research Guide for One Scholar of Amity Law School, AUMP
    • Chief Editor for MGCL Chronicle at Mahatma Gandhi College of Law from August 2018 to March 2019
    • Workshop Coordinator for National Seminar / State Level Seminar held at Mahatma Gandhi College of Law, Gwalior in 2018 and 2019
    • GSSC (Guided Self Study Course) Coordinator for Amity Law School, Amity University Madhya Pradesh (AUMP)
    • Judged National Mock Trial Competition Institute of Law, Jiwaji University, Gwalior
    • AMIZONE (LMS) Coordinator for Amity Law School, Amity University Madhya Pradesh (AUMP)
    • Conducted VIVA as an internal for B. A. LLB, B. Com-LLB, B.B.A-LLB (RTI- Drafting and Filing) at Amity Law School, AUMP
    • Conducted VIVA as an internal for B. A. LLB, B. Com-LLB, B.B.A-LLB (SIP – Summer Internship Program) at Amity Law School, AUMP
    • Conducted VIVA as an internal for LLB (Drafting and Pleading) at Mahatma Gandhi College of Law, Gwalior

    • Research Paper on Negotiating Rights on Gender and Migration (Under Process)
    • Research Paper on Environmental Protection: Role of Ethnic and Indigenous People of India

    SEMINAR/ WORKSHOP/NATIONAL MOCK TRIALS/ INTERNATIONAL CONFERENCE

    • Attended one-week National Workshop on “Right to Information: A Revolutionary Law” from 6th October,2021 to 12th October ,2021 Organised by Centre for Advanced Studies in Labour Welfare (CASLW), Rajiv Gandhi National University of Law, Punjab in Collaboration with Punjab State Information Commission.
    • Attended Six Days Faculty Development Program on Curriculum Designing, Outcome Based Learning, Effective Assessment and Life Skills for Holistic & Multidisciplinary Education, Under Guru Dakshta, LOCF & Jeevan Kaushal UGC Quality Mandate from 15th to 20th March 2021 organized by Amity Academic Staff College, Amity University.
    • Attended Six Days Faculty Development Program on Constitutional Values and Fundamental Rights, Under Mulyapravah and Guru Dakshta, Faculty Induction Program from 7h to 12th March 2021 organized by Amity Academic Staff College, in association with Amity Law School Noida, Amity University, Uttar Pradesh.
    • Online Faculty Development Program on “Legal Research and Pedagogy in Changing Times” organized by Amity Law School, Amity University Haryana.
    • Attended One Week Online National Workshop on Interdisciplinary Research Methodology, ICT Application & Innovations in Teaching Learning Process’ from 8th June, 2020 to 12th June, 2020
    • Attended International Conference on Electoral Reforms in India Through Voter’s Awareness and presented a paper (sponsored by UGC) at Jai Bundelkhand College of Law Panari, Lalitpur on March 24TH -25TH 2019
    • Attended National Seminar on Juvenile Delinquency: Changing Contours and presented a paper at Amity Law School, AUMP on 30TH March 2019
    • Attended National Law Seminar on Multidisciplinary Approach Towards Social Transformation in India and presented a paper at Prestige Institute of Management, Gwalior on 30TH March 2019
    • Invited as a Panel Judge for National Mock Trial Competition at the Institute of Law, Jiwaji University dated 15TH to 17TH March 2019
    • Attended State Level Seminar on “Gender Bias in Society-New Research Horizons on Cultural, Spiritual and Political Aspects of Gender Laws” and presented a paper at MGCL, Gwalior from 30TH November 2018 to 1ST December 2018
    • Attended National Seminar on “Electoral Reforms in India: Prospects and Challenges” at MGCL, Gwalior on 12TH January 2019
    • Attended National Workshop and Training on Legal Research Methodology at Siddhartha Law College, Dehradun, in Collaboration with Uttarakhand Law Commission on 27TH October 2018
    • Attended National Research Methodology workshop at Prestige Institute of Management, Gwalior from 30TH August 2018 to 3RD September 2018
    • Attended Right to Information (RTI) and Public Service Guarantee at RTI Cell, Jiwaji University, Gwalior on 20TH December 2013

    Dr. Jayaprakash Vemuri is an Associate Professor in the Civil Engineering Department at Mahindra University École Centrale School of Engineering. He has authored more than 75 research papers, which have been published in international journals and as chapters in books.

    He holds a Ph.D. from the Indian Institute of Technology Hyderabad, a Master’s degree from the University of Western Ontario, Canada, and a B.Tech. from the Indian Institute of Technology Roorkee. His research interests include nonlinear time history analysis of structures, seismic risk assessment, and application of machine learning for enhancing engineering systems.

    Dr.Jayaprakash Vemuri received the Certificate in University Teaching and Learning from the University of Western Ontario in 2017. He has also received the Certificate of Research Excellence from IIT Hyderabad for four consecutive years 2015, 2016, 2017 and 2018. He received the Notre Dame CEGEOS Fellowship by the University of Notre Dame in 2011. He was awarded the Certificate of Merit for Mathematics, Central Board of Secondary Education in 2000 and the Merit Certificate in the Mathematical Olympiad by the Atomic Energy Commission in 1998.

    • Ph.D. (Earthquake Engineering), Indian Institute of Technology, Hyderabad.
    • M.E.Sc (Structural Engineering), University of Western Ontario, Canada.
    • B.Tech. (Civil Engineering), Indian Institute of Technology, Roorkee.
    • HSC, Delhi Public School, R.K.Puram
    • SSC, Delhi Public School, R.K.Puram.

    Journal Publications:
    • Chenna Rajaram, Jaya Prakash Vemuri, Aniket Bhalkikar (2026) Estimation of Ground Motion Characteristics of the September 08, 2023 Morocco Earthquake, Natural Hazards Research.
    • Rajaram, C., Vemuri, J., & Akansel, V. H. (2025). Near-field ground motion intensity parameters of the major February 06, 2023, Turkey Kahramanmaraş earthquake sequences. Geohazard Mechanics, Vol. 3, Issue 3, pp 177-186.
    • Chenna R, Vemuri J, R Satyannarayana, BG Rajesh (2025) A Comparative Study of Ground Motion Parameters at Bedrock and Surface Level in Kathmandu Basin, Natural Hazards, Springer
    • Wani FM, Vemuri J (2025) Exploring the Association of Ground Motion Intensity Measures and Demand Parameters with ANN-Based Predictive Modeling and Uncertainty Analysis, Natural Hazards, Springer
    • Wani FM, Vemuri J (2025), Evaluation of Intrinsic Mode Function for the Identification of Pulse-Like Ground Motion Using Machine Learning Technique, Stochastic Environmental Research and Risk Assessment, Springer
    • Pavagada, K., & Vemuri, J. (2025). Prediction Of Maternal Health Risk Factors Using Machine Learning Algorithms. Procedia Computer Science, 258, 2713-2722.
    • Tatavarthi, A. K. P., Vemuri, J., & Singh, P. (2024). Reservoir outflow prediction using adaptive neuro-fuzzy interference system. International Journal of System Assurance Engineering and Management, pp 1-12, Springer.
    • Wani F, Vemuri J, Chenna R, Reddy K (2024), Forecasting Duration Characteristics of Near Fault Pulse-like Ground Motions using Machine Learning Algorithms, Stochastic Environmental Research and Risk Assessment, Springer
    • Neeraja KR, FM Wani, Chereddy N, Vemuri J, Rajaram C (2024), Evaluation of constant ductility displacement response spectra for near-fault ground motions of the 1999 Chi-Chi earthquake, Taiwan, Current Science, Springer, 821
    • FM Wani and Vemuri J (2024), Shapelet-informed machine learning classifiers: A path towards precise identification of pulse-like ground motions, Journal of Earth System Science, Springer, 133, 96
    • FM Wani and Vemuri J (2024), Simulation of Pulse-Like Ground Motions with Directionality Effect for the 2001 Mw 7.6 Bhuj, India Earthquake and Sensitivity Analysis of Uncertain Model Input Parameters, Soil Dynamics and Earthquake Engineering, Elsevier, 2087
    • Boinpally, S., Kolla, A., Kainthola, J., Kodali, R., & Vemuri, J. (2023). A state-of-the-art review of the electrocoagulation technology for wastewater treatment. Water Cycle, 4, 26-36.
    • Wani, F., Vemuri, J., & Rajaram, C., (2023). Evaluation of ground motion parameters and seismic response of reinforced concrete structures from the 2011 Sikkim earthquake. Geohazard Mechanics, 1(2), 18.
    • Avulapalle, N., Rajaram, C., & Vemuri, J. (2023). Assessment of seismic retrofitting interventions in reinforced concrete structures. Geohazard Mechanics, 1(2), 16.
    • Wani F. M., Kodali R, Devireddy S, Bondada A, Reddy S, J Vemuri J, Khan MA (2023) “Finite element analysis of unreinforced masonry walls with different bond patterns”, Sustainable Engineering and Innovation, Vol. 5, No. 1, pp. 58-72
    • Wani, F, Vemuri J, Chenna R (2023) “Influence of Near-Fault Ground Motion Characteristics and the Relative Geographical Positioning of Sites on the Seismic Response of RC Structures“, International Journal of Structural Integrity, 14(4), pp. 600-628
    • Chenna R, Neelima P, Vemuri J, Kumar RP (2023) “Insights on the June 21, 2022, Khost Earthquake, Afghanistan“, Sadhana, 48, 144, Springer.
    • Wani, F, Vemuri J, Chenna R (2023) “Prediction of Storey Drift for Reinforced Concrete Structures Subjected to Pulse-Like Ground Motions Using Machine Learning Classification Models“, International Journal of Structural Integrity, 14 (4).
    • Wani, F. M., Vemuri, J., & Rajaram, C. (2023). Strong ground motion characteristics observed in the 6 February 2023 Mw 7.7 Türkiye earthquake, Earthquake Science, Vol. 36, Issue 6.
    • Wani, F. M., Vemuri, J., Rajaram, C., & Reddy, K. K. (2023). Investigating the efficiency of machine learning algorithms in classifying pulse-like ground motions. Journal of Seismology, 27(5), 875-899.
    • Kodali R, Koduru S, Kainthola J, Vemuri J (2022), “Pathways to Scientometric Biomedical Waste Management in COVID-19 Era”, Pollution Research Journal, Volume 41, Issue 3, PR-2009
    • Faisal Mehraj Wani, Mohd Ataullah Khan, Jayaprakash Vemuri (2022) “2D Nonlinear Finite Element Analysis of Reinforced Concrete Beams using Total Strain Crack Model”, Materials Today: Proceedings, Elsevier
    • Jayaprakash Vemuri, Tariq Anwar, KVL Subramaniam (2022) Seismic Fragility Assessment of Load-Bearing Soft-Brick Unreinforced Masonry Piers, Journal of Safety Science and Resilience, Vol.3, Issue 4, JNLSSR-76
    • Poreddy, L. R., Pathapadu, M. K., Navyatha, C., Vemuri, J., & Chenna, R. (2022). Correlation analysis between ground motion parameters and seismic damage of buildings for near-field ground motions. Natural Hazards Research, 2(3), 202-209.
    • Wani, F. M., Vemuri, J., & Rajaram, C. (2022). Effect of soil structure interaction on the dynamic response of reinforced concrete structures. Natural Hazards Research, 2(4), 304-315.
    • Kishore, Y. S. N., Nadimpalli, S. G. D., Potnuru, A. K., Vemuri, J., & Khan, M. A. (2021). Statistical analysis of sustainable geopolymer concrete. Materials Today: Proceedings, Elsevier.
    • Venugopal, M., Khan, M. A., & Vemuri, J. (2021). Statistical analyses of hooked-end steel fibers in concrete. Materials Today: Proceedings, Elsevier.
    • Vemuri, J., Ehteshamuddin, S., Ravula, M., & Kolluru, S. (2019). Pushover analysis of soft brick unreinforced masonry walls using analytical and numerical approaches. Materials Today: Proceedings. Vol.28 (2), pp 420-425
    • Jayaprakash Vemuri, Syed Ehteshamuddin, Subramaniam Kolluru (2018). Drift Demand Evaluation for Unreinforced Masonry Shear Walls. Cogent Engineering, Taylor & Francis, Vol. 5, No.1, pp.382-392
    • Jayaprakash Vemuri and Subramaniam Kolluru (2018). Surface Level Synthetic Ground Motions for M7.6 2001 Gujarat Earthquake. Geosciences, MDPI, 8(12), 429
    • Jayaprakash Vemuri, Syed Ehteshamuddin, Subramaniam Kolluru (2018). Numerical Simulation of Soft Brick Unreinforced Masonry Walls subjected to Lateral Loads. Cogent Engineering, Taylor & Francis, Vol. 5, No.1, pp. 1-12
    • Jayaprakash Vemuri (2017). Reliability Indices for Compression Braces in Eccentrically Braced Frames. Journal of Structural Engineering, SERC, Vol.44, No.5, pp. 486-493
    • Jayaprakash Vemuri (2016). The Capacity Based Design Method for Eccentrically Braced Frames: A Critical Review. Journal of Structural Engineering, SERC, Vol.43, No.3, pp. 319-325
    • Jayaprakash Vemuri and Subramaniam Kolluru (2016). Seismic Analyses of Unreinforced Masonry Walls. International Journal of Integrated Disaster Risk Management, Vol. 6, No.2, pp. 102-115
    • Jayaprakash Vemuri (2014). A Predictive Model of Overstrength due to Strain Hardening in Steel EBF Links.Journal of Structural Engineering, SERC, Vol.41, No.3, pp. 208-213
    Chapters in Books:
    • Bhargav, N. C., Buchupalli, R., Vallamkonda, V. L. V., & Vemuri, J. P. (2025). Exploring the Correlation Between Peak Ground A/V Ratio and Ground Motion Frequency Content: A Case Study from the 2023 Turkey Earthquake. In Seismic Hazard Analyses, Wave Propagation and Site Characterization,(pp. 165-175). Singapore: Springer Nature Singapore.
    • Ambatipudi, V., Vemuri, J., & Pemmasani, V. (2025). Time–Frequency Analysis of Far-Field Ground Motions from the 2011 Sikkim Earthquake. In Seismic Hazard Analyses, Wave Propagation and Site Characterization, (pp. 305-314). Singapore: Springer Nature Singapore.
    • Shabir, A., Jyosyula, S. K. R., & Vemuri, J. (2025). Compliance with Indian Codes: A Comprehensive Seismic Response Assessment of Mid-Rise Irregular Reinforced Concrete Structure. In Seismic Design and Performance of Structures, Soil Structure Interaction (pp. 1-11). Singapore: Springer Nature Singapore.
    • Wani, F. M., Koduru, S., Kodali, R., & Vemuri, J. (2024). Effect of Soil Structure Interaction on the Response of a Lumped Mass Model. In Natural Hazards and Risk Mitigation: Natural Hazards in Himalaya and Risk Mitigation (pp. 235-244), Springer Nature Singapore.
    • Wani, F. M., Ganne, C., Vemuri, J., & Rajaram, C. (2024). Time–Frequency Analysis of Strong Ground Motions from the 1994 Northridge Earthquake. In Natural Hazards and Risk Mitigation: Natural Hazards in Himalaya and Risk Mitigation (pp. 223-233), Springer Nature Singapore.
    • Pamu, S., & Vemuri, J. P. (2024, November). The Role of Machine Learning in Obesity Prediction Across Latin American Populations: A Study on the Effectiveness of Different Approaches. In Communications in Computer and Information Science 2318, (pp. 295-309), Springer Nature Singapore.
    • Gupta, A., Sarda, P., Wani, F. M., & Vemuri, J. (2024, March). Evaluation of Machine Learning Algorithms for Predicting Compressive Strength of Geopolymer Concrete at High Temperatures. In Advances in Environmental Sustainability, Energy and Earth Science (pp. 163-173), Springer Nature, Switzerland.
    • Bolla, S., Matla, Y., Wani, F. M., & Vemuri, J. (2024, March). Predictive Modeling for Compressive Strength in Sustainable Concrete Using Machine Learning Techniques. In International Conference on Advances in Environmental Sustainability, Energy and Earth Science (pp. 175-186), Springer Nature Switzerland.
    • Yarlagadda, H. S., Pampana, S., Nerella, C. B., & Vemuri, J. (2024, February). A Novel Implementation of Tableau Software for the Visualisation of Seismic Data from Himalayan Region. In Advances in Risk, Reliability Modelling and Assessment (pp. 95-105), Springer Nature, Singapore.
    • Nerella, C. B., Wani, F. M., Ganne, C., Durgaiahsangam, H. P., & Vemuri, J. (2024, February). Time–Frequency Analysis of Strong Ground Motions from the 1989 Loma Prieta Earthquake. In Advances in Risk, Reliability Modelling and Assessment (pp. 107-119), Springer Nature, Singapore.
    • Wani, F. M., Mukkamala, H. S., Gade, S., Durgaiahsangam, H. P., Tadeparti, S. V., & Vemuri, J. (2024, February). Prediction of Effective Duration of Vertical Ground Motions Based on Machine Learning Algorithms. In Advances in Risk, Reliability Modelling and Assessment (pp. 121-129), Springer Nature, Singapore.
    • Ifan, M. A., Mathew, S., Vemuri, J., & Subramaniam, K. V. L. (2023). Wavelet Analysis of Near-Field Ground Motions from the Mw 7.8 2015 Gorkha Earthquake. In Disaster Risk Science and Technology (pp. 81-90). Springer, Singapore.
    • Ambatipudi, V., Mareddy, K., Vemuri, J., & Subramaniam, K. V. L. (2023). Time-Frequency Analysis of Strong Ground Motions from the Mw 6.8 1991 Uttarkashi Earthquake. In Disaster Risk Science and Technology (pp. 45-57). Springer, Singapore.
    • Wani, F. M., Mujtaba Moid, M., Chandrakanth Reddy, K., Vemuri, J., & Chenna, R. (2023). Wavelet Analysis of Near-Field Ground Motions from the Mw 7.6 1999 Chi-Chi Earthquake in Taiwan. In Recent Advances in Materials, Mechanics and Structures (pp. 311-319). Springer, Singapore.
    • Kodali, R., Wani, F. M., Aquib, T. A., & Vemuri, J. (2023). Numerical Modelling of an Unreinforced Masonry Wall with Central Window Opening. In Recent Advances in Materials, Mechanics and Structures (pp. 61-71). Springer, Singapore.
    • Mathew, S., Ifan, M. A., Vemuri, J., & Subramaniam, K. V. L. (2023). Time–Frequency Analysis of Strong Ground Motions from the 2011 Sikkim Earthquake. In Recent Advances in Materials, Mechanics and Structures (pp. 37-47). Springer, Singapore.
    • Pemmasani, V., Mareddy, K , Vemuri, J., & Subramaniam, KVL (2023). Time–Frequency Analysis of Strong Ground Motions from the 1999 Chamoli Earthquake. In Multi Hazard Vulnerability and Resilience Building, (pp 233-247), Elsevier
    • Ifan, M. A., Mathew, S., & Vemuri, J. (2022). Wavelet Analysis of Far-Field Ground Motions from the M w 7.6 2005 Kashmir Earthquake. In Recent Advances in Earthquake Engineering (pp. 11-23). Springer, Singapore.
    • Ifan, M. A., Mathew, S., Vemuri, J., & Subramaniam, K. V. L. (2023). Wavelet Analysis of Near-Field Ground Motions from the Mw 7.8 2015 Gorkha Earthquake. In Disaster Risk Science and Technology (pp. 81-90). Springer, Singapore.
    • Koduru, S., Kolli, I., & Vemuri, J. (2021). Time Frequency Analysis of the 1988 Indo-Myanmar Earthquake. In Emerging Practices and Innovations in Civil Engineering, 21, pp. 138-144, India.
    • Vemuri, J., & Kolluru, S. (2020). Seismic Fragility Assessment of Unreinforced Masonry Shear Walls. In Advances in Structural Engineering (pp. 1-14). Springer, Singapore. (ISBN 978-981-15-4079-0)
    • Vemuri, J., & Kolluru, S. (2020). Evaluation of Ground Motion Scaling Techniques. In Advances in Computer Methods and Geomechanics (pp. 525-535). Springer, Singapore.
    • Rahul Garg, Jayaprakash Vemuri and Subramaniam Kolluru (2018). Correlating Peak Ground A/V ratio with Ground Motion Frequency Content. In: Rama Mohan Rao A. and Ramanjaneyulu K. (eds.) Recent Advances in Structural Engineering, Vol. 2, pp. 242-248, Springer, Singapore
    • Jayaprakash Vemuri, Sahith Gali and Subramaniam Kolluru (2017). Finite Element Analyses of Pinned Precast Beam-Column Connections. In: Santhanam M, Gettu R, Pillai RG, Nayar SK (eds.) Advances in Construction Materials and Systems, pp. 331-338, RILEM Publications, Paris, France
    • Rayaprolu Vandana and Jayaprakash Vemuri (2016). Delhi Mass Rapid Transit System: State-of-the-Art Construction Practices for Elevated Stations. In: Korgaonker M (eds.) Managing Construction and Related Sectors, pp. 296- 306, NICMAR Publications, Pune, India
    • Jayaprakash Vemuri (2015). A novel statistical method for estimating link overstrength. In: Matsagar V. (eds.) Advances in Structural Engineering, pp. 567-575, Springer, New Delhi, India
    Conference Publications:
    • Semanth Reddy, Abhishek Bondada, Jayaprakash Vemuri and MA Khan (2022) Numerical Simulations on URM Piers Considering the Effect of Bond Patterns, International Conference on Computational Methods in Sciences and Engineering (CMSE-2022), BITS Pilani, Hyderabad, India
    • Koduru, S., Vemuri, J., & Subramaniam, KVL. (2020). Time Frequency Analysis of the 30th October 2020 Turkey Earthquake, MURS-2020, Hyderabad, India.
    • Jagathi, S., Paidisettiy, V., Vemuri, J., & Subramaniam, KVL. (2019). Multi-Objective Optimization using Genetic Algorithms, MURS-2019, Hyderabad, India.
    • Jayaprakash Vemuri and Subramaniam Kolluru (2018). Evaluation of Ground Motion Scaling Techniques. Proceedings of the ASCE-EMI Conference, 30 May-1 June, Boston, USA
    • Rayaprolu Vandana and Jayaprakash Vemuri (2015). Rehabilitation of Steel Compression Members using Cover Plates. Proceedings of the 1st International Conference on Innovations in Structural Engineering, 14-16 Dec. 2015, Hyderabad, India

    • Aug 2023 – till date: Associate Professor, Mahindra University
    • Aug 2018 – July 2023: Assistant Professor, Mahindra University
    • Aug 2013 – July 2018: Research Scholar in Earthquake Engineering, IIT Hyderabad.
    • Sep 2011 – Jul 2013: Assistant Professor of Civil Engineering, GITAM University.
    • Jan 2011 – Aug 2011: Research Assistant, Department of Civil Engineering, University of Notre Dame.
    • Jan 2008 – Dec 2010: Graduate Research Assistant, Department of Civil Engineering, Western University.
    • Jul 2007 – Dec 2007: Assistant Manager, Project Planning, Trident India Limited.

    Current research interests include seismic risk assessment of structures and application of machine learning techniques to enhance engineering systems. The following sponsored research projects have been undertaken.

    Project Title: Experimental Investigation of Structural Response under Near Fault Ground Motions using Shake Table Studies

    • Sanctioned Amount: Rs. 8,00,000/-
    • Sponsoring Agency: Mahindra University, Hyderabad
    • Duration: 2022-24 (2 years)

    Project Title: High Performance Multifunctional Geopolymer Composites: Experimental and Computational Multi-Scale Studies

    • Sanctioned Amount: Rs. 6,00,000/-
    • Sponsoring Agency: Mahindra Ecole Centrale, Hyderabad
    • Duration: 2018-20 (2 years)

    Mr. Rishi Raj Bhardwaj is a perseverant person, with humble origins, who resiliently believes in the philosophy Being The Change, Which One Wishes To See. He has 15+ years of versatile experience in various senior positions of academic, managerial, and administrative capacities at several Delhi-NCR based universities like Sharda, AKTU, CCSU, Bennett etc. Along with his 10+ years association with ICAI, IGNOU, IICA and ISM-India; he has worked with some of the reputed CA firms, based in Delhi and Rajkot. His major assignments had been in financial and statutory compliance audits of PSUs like AAI, BHEL, DMRC, GAIL, SAIL, ISRO, MTNL SBI, LIC etc. He has also served as a policy advisor to MSMEs and Startup Units in Delhi-NCR.

    His multifaceted academic journey commenced with Commerce and Law Graduations from Saurashtra University, Rajkot; and gradually culminated into PGs in Commerce, Law, Finance & IT. Qualifying UGC-NET & CA-PEE-II from ICAI, he has earned his certifications from Cornell University in ‘Financial Regulation’ and ‘Ethics in Law’. Preserving an inquisitive passion for research in technology and law, he is pursuing a Ph.D. in AI domain from Bennett University; along with a data science program from IIT-Madras. His research interests are in Finance, Corporate Governance, Taxation & Emerging Technology Laws.

    • UGC-NET in Commerce
    • CA-PEE-II from the Institute of Chartered Accountants of India (ICAI), New Delhi
    • PGDBA (Finance & Operations) From Symbiosis, Pune
    • LL.M. (Corporate Law) From Subharti University, Meerut
    • LL.B. From Saurashtra University, Rajkot
    • M.Com. From Manav Bharti University, Solan
    • B.Com. From Saurashtra University, Rajkot
    • Certification in Financial Regulation, Cornell University, New York
    • Certification in Ethics in Law, Cornell University, New York
    • Diploma in Computers from the Indo-German Computers, Mumbai
    • Presently pursuing Ph.D. in AI Domain from the Bennett University, Greater Noida; along with a Data Science Program from IIT-Madras.

    • “Grey Maze of Tax Evasion and Tax Avoidance vis-a-vis to Corporate Governance: Emerging Apprehensions of a Digital Economy” with Taxmann Publications (In Print: January 2022)
    • “The Evolutionary Facets of Legal Education: In the Age of Globalization and Emerging Technologies” (Bloomsbury Publications) ISBN: 978-54350-82-5 (November 2021)
    • “Resilience of the Indian Economy In and Out of Covid-19 Crisis: An Assessment of How A Crisis Is Turning into An Opportunity “ WJR, ISSN:0975-1386 (February 2021)
    • “Implications of Artificial Intelligence in the Financial Credit Management: An Indian Perspective”Sambodhi, ISSN 22496661 (December 2020)
    • “Evolution and Potentials of Indian National Education Policy – 2020: Re-routing the Roots of Indian Education System” in the book “Dimensions of National Education Policy–2020” ISBN 978-12-346578-9-7 (November 2020)
    • “Constitutional Legitimacy to Right to Privacy vis-à-vis to Data Protection Bill” Bennett Journal of Legal Studies Volume I | Issue 1 (January 2020)
    • “Microfinance Initiatives of MFIs in Madhya Pradesh: An Observation”at SITBS, ISSN 22772723 (March 2019)
    • “Corporate Social Responsibility: An Ensuing Revelation Beyond Corporate Governance” at IJMTER Volume 3 Issue 4, ISSN 23958161 (April 2016)

    • August 2021 – Present Assistant Professor School of Law MU
    • He has 15+ years of teaching and administrative experience, in addition to six years in corporate sector.
    • Lead-Auditor, Sri Ravi Verma & Company, Chartered Accountants, New Delhi
    • HoD-BBA, KITE Group, Affiliated to CCSU, Meerut
    • HoD-MBA, IIMT Group, Affiliated to AKTU, Lucknow
    • Head-Liaison & Training, AIMT, Affiliated to AKTU, Lucknow
    • Assistant Professor, Sharda University, Greater Noida
    • He has also been associated with Institute of Chartered Accountants of India, Indian Institute of Corporate Affairs, Institute for Supply Management-India, Aptech Aviation & Hospitality Academy, IGNOU etc. in Delhi-NCR as a visiting faculty of finance and corporate laws for more than a decade. He has also worked in liaison with corporates and embassies for CSR initiatives.
    • In the outreach program, he has represented various institutions in more than 500+ counselling workshops in India and Nepal.

    • Commercial and Legal Implications of AI (2020)
    • Impact of Economic Crimes on Indian Economy: An Evaluation in Indian Perspective (2014)
    • Expert Evidence in Legal Proceedings (2012)

    Dr. Ravi Kishore is an Associate Professor at Mahindra University with a strong passion for teaching and a focus on research. In the classroom, his goal is to simplify complex ideas and ignite a passion for learning. Concurrently, his research delves into the intricacies of theoretical computer science, cryptography, and information security.

    • Ph.D. in Computer Science and Engineering, IIIT-H, Hyderabad, India.
    • M.Tech in Computer Science, Indian Statistical Institute, Kolkata, India.
    • M.Sc. in Mathematics, University of Hyderabad, India.

  • CRAFT: Composable Randomness Beacons and Output-Independent Abort MPC From Time. Carsten Baum, Bernardo David, Rafael Dowsley, Ravi Kishore, Sabine Oechsner, Jesper Buus Nielsen. (In Proceedings of the 26th IACR International Conference on Practice and Theory of Public-Key Cryptography (PKC 2023), Atlanta, USA, May 7-10, 2023, pages 439- 470.) DOI: https://doi.org/10.1007/978-3-031-31368-4_16.
  • Perfectly Secure Message Transmission over Partially Synchronous Networks. Ravi Kishore, Anupriya Inumella, Kannan Srinathan. (In Proceedings of the 20th International Conference on Distributed Computing and Networking (ICDCN 2019), Bangalore, India, January 4-7, 2019, pages 302-306.) DOI: https://doi.org/10.1145/3288599.3288612.
  • On Minimal Connectivity Requirements for Secure Message Transmission in Directed Networks. Ravi Kishore, Chiranjeevi Vanarasa and Kannan Srinathan. (In Information Processing Letters, 131:1-6 (2018).) DOI: https://doi.org/10.1016/j.ipl.2017.11.001.
  • Assuring BetterTimes : Private arithmetic formulas. Per Hallgren, Ravi Kishore, Martin Ochoa, Andrei Sabelfeld. (In Journal of Computer Security, 26(4):557-587 (2018).) DOI: https://doi.org/10.3233/JCS-171085.
  • On the Price of Proactivizing Round-Optimal Perfectly Secret Message Transmission. Ravi Kishore, Ashutosh Kumar, Chiranjeevi Vanarasa and Kannan Srinathan. (In IEEE Transactions on Information Theory Journal, 64(2):1404-1422 2 (2018).) DOI: https://doi.org/10.1109/TIT.2017.2776099.
  • On Perfectly Secret Message Transmission in Digraphs Tolerating Dual Failures. Ravi Kishore, Chiranjeevi Vanarasa, Tushant Jha and Kannan Srinathan. (In Proceedings of the 17th International Conference on Distributed Computing and Networking (ICDCN 2016), Singapore, January 4-7, 2016, pages 29:1–29:10.) DOI: https://doi.org/10.1145/2833312.2833327.
  • Round-Optimal Perfectly Secret Message Transmission with Linear Communication Complexity. Ravi Kishore, Ashutosh Kumar, Chiranjeevi Vanarasa and Kannan Srinathan. (In Proceedings of the 8th International Conference on Information Theoretic Security (ICITS 2015), Lugano, Switzerland, May 2-5, 2015, pages 33-50.) DOI: https://doi.org/10.1007/978-3-319-17470-9_3.
  • To find his latest publications, follow the dblp page link: https://dblp.org/pid/160/7651.html.

    • Associate Professor at Mahindra University (July 2023 – Present)
    • Post-Doctoral Researcher at IT University of Copenhagen, Denmark (September 2020 – July 2023).
      • Co-Instructor for various courses, including Foundations of Computing, Advanced Security, Linear Algebra, and Cryptographic Computation and Blockchain.
    • Assistant Professor at Ecole Centrale School of Engineering, Mahindra University, Hyderabad (July 2018 – Aug 2021).
      • Instructor and Co-Instructor for courses such as Number Theory and Cryptography, Discrete Mathematical Structures, Data Structures, Theory of Computation, and Cryptography and Information Security.
    • Visiting Faculty at IIIT, Hyderabad (February 2018 – April 2018).
      • Instructor for Automata Theory course.
    • Visiting Fellow at Singapore University of Technology and Design (March 2016 – September 2016).
    • Lecturer at IIIT, Hyderabad (January 2015 – March 2016)
      • Instructor for Automata Theory and Linear Algebra courses.

    Dr. Ravi Kishore’s research interests include Distributed Computing, Cryptography, and Information Security. Specifically, his primary research focus is on Secure Message Transmission (SMT) in a distributed environment/network described as follows. In a large distributed network of interconnected nodes, the goal of any SMT protocol is to securely deliver the sender’s message at the receiver’s end in the presence of a computationally unbounded adversary, that can partially control the network by corrupting some of its nodes (except the sender and the receiver).

    His other research interests are Multiparty Computation (MPC) and Zero-Knowledge Proof protocols, which are essential to building secure and privacy-preserving systems in distributed environments. MPC enables secure collaboration between multiple parties while preserving the confidentiality of their private inputs. Zero-knowledge proof protocols provide a powerful tool to prove the validity of a statement without revealing any additional information.

    Vinay Sharma has a multi varied academic and administrative career in which he holds Commerce and Law Post-Graduations from Osmania University, Hyderabad. He has worked in administrative and academic capacities in various institutions of repute. He also has trained Bank Officers at the JAIIB and CAIIB levels. His area of interest along with his expertise is in Accounting, Management, Banking, Insurance, Direct and Indirect Taxes, Cyber Laws and emerging technology laws like cryptocurrency, drones etc. He has completed his Ph.D. in Indirect Tax Laws with special reference to the Distribution of Financial Powers

    • Ph.D. In Law (Constitutional Law) from Telangana University.
    • Masters in Law (LL.M.) (Constitutional Law) from Osmania University, Hyderabad.
    • Bachelors in Law (LL.B.) from Osmania University, Hyderabad.
    • Masters in Commerce (M.Com.) from Osmania University, Hyderabad.
    • Bachelors in Commerce (B.com.) from Osmania University, Hyderabad.
    • Certification in Financial Derivatives from National Stock Exchange, Mumbai.
    • Presently pursuing Certification in Drone Forensics from International Forensics Sciences, Government of India, Pune, Maharashtra, India.

    Papers/Publications:
  • “Trust Gone Bust- Corporate Governance and Debt Mutual Funds in India- A Critique”, Taxmann Publications, (In Print: 2022)
  • “E-Governance: A Delicate Balance Between Data Privacy and Future Digitization” (In Print: 2022)
  • Intellectual Property Rights- concerns in Cyberspace, ALT Publications, 2021, ISBN no: 978-93-92347-02-03
  • “All at Sea – Tax liability of Seafarers – An Indian perceptive” at the International Conference on ‘Emerging Significance of Maritime Law’ at Kerala Law Academy, Thiruvananthapuram (July 2021) ISBN No 978-93-5473-924-8.
  • “An egregious display or a move towards financial equilibrium – A recent study of mergers and acquisitions in Indian Banking” at the International Conference, Lex-Fin Summit on ‘Techno-Legal Dynamics of Banking Laws and Regulations’ (April 2021).
  • “Distribution of Taxation revenues between Union and States – A critique” at The Centre for Real Estate and Taxation Laws, Symbiosis Law School, Hyderabad (January 2020).
  • “Artificial Intelligence in the Indian Scenario – Legal Ramifications” at EBES Conference at University of Malaya, Kuala Lumpur, Malaysia (January, 2020).
  • “India European Union Free Trade – An Agreement between Disagreements at the International Conference on Law and Political Science at Porte D’ Ivory, Paris, France (November, 2018)

    • Assistant Professor School of Law MU (Sept 2021 -Present)

    administrative experience

    He has 10+ years of teaching and 15+ years of administrative experience, in addition to being a Corporate Trainer with companies in the areas of Finance, Cost Accounting, Labor Laws and Cyber Law.

    Co-coordinator of the Centre

    • Worked as Co-coordinator of the Centre for Excellence in Cyber Law and Data Protection, ICFAI School of Law, IFHE, Hyderabad.

    Indian Institute of Bankers

    • Associated with the Indian Institute of Bankers, Hyderabad to train their Senior officers.

    Trainer

    • Worked as Trainer with the Telangana/Andhra Pradesh State Electricity Board in the areas of Industrial Disputes, Workmen’s Compensation, etc. at Hyderabad.

    Corporate Trainer

    • Worked as Corporate Trainer with Regal Beloit, Infosys, Satyam etc. in the areas of Finance, Cost Accounting and Cyber Laws.

    Liaison with corporates

    • Worked as Liaison with corporates like Marico Industries, ITC Ltd., etc for the Corporate Social Responsibility initiatives.

    • Working of the Goods and Services Tax Law with special reference to equalization levy.
    • Role of the Seafarers during COVID-19 and their Human Rights.

    Ms. Darshna Gupta is an Assistant Professor at the School of Law, Mahindra University. She has varied experience in the corporate and research domain in sustainability, climate change and corporate due diligence.

    A lawyer by training, she completed her Masters in Law from NALSAR University of Law, Hyderabad in 2020. During her Masters, her focus areas were Intellectual Property Rights and Environment Law. She has varied experience in the corporate and research domain in sustainability, climate change and corporate due diligence. Apart from work, she also contributes as an editor and writer for varied journals of repute. Further, she has also worked as a human rights teaching fellow for, The Humans Project.

    • Master’s in Law (LL.M.) – National Academy of Legal Studies & Research, Hyderabad (NALSAR).
    • BBA. LL.B., School of Law, Christ University, Bengaluru.

    • Paper Presentation on Climate Change & Groundwater Based Irrigation Management – A Conceptual Study of Indian Approach at International Conference on Climate Justice and Sustainable Environment 2023 at GNLU, Gujarat (April 22 & 23).
    • Received 2nd Best paper presentation for Climate Change Migration: A Study on Ghoramara Islands at Earth Conference organized by CEERA, NLSIU, Bengaluru & VLS, June 2022.
    • Investigating Pathways for Agricultural Innovation at scale: Case Studies from India. Colombo, Sri Lanka: Commission on Sustainable Agriculture Intensification, 2022.
    • Attended a Faculty Development Programme on Law and Social Sciences organized by Rajiv Gandhi National University of Law, Punjab, September 2022.
    • Attended a Workshop on Law, Development, and Sustainability organized by National Law University Delhi, September 2022.
    • Response Paper on A Theoretical Framework for the Protection of the Environmental Refugees in International Law published at the International Review of Human Rights Law (ISSN: 2455-8648), Issue VII (Newsletter), May 2021.
    • Covid-19 and Indian Judiciary: Crisis & Innovation published at GNLU Centre for Law & Society’s Blog, May 2020.

    • Assistant professor, School of Law, Mahindra University (Sept 2021 – Present)

    PAST

    • Research Intern, Council on Energy, Environment and Water (CEEW), Delhi
    • Research Fellow, Center for Environmental Studies, Adhyayan Foundation for Policy & Research, Lucknow
    • Senior Research Analyst, IIRIS Consulting Private Limited, Mumbai

    EDITORIAL

    • Editor at The Silent Sexism Project.
    • Technical Editor at International Review of Human Rights Law, (ISSN: 2455-8648).
    • Special Associate Editor at Indian Journal of Artificial Intelligence and Law, (E-ISSN: 2582-6999) | (Dec 2020 – Oct 2021)

    • Teaching Human Rights Research Fellow (Summer 2021) – The Human Projects
    • Master’s Thesis | Climate Change Migration in India: A Humanitarian Perspective

    Dr. Neha Bharill is an Associate Professor in the Department of Computer Science and Engineering at Mahindra University École Centrale School of Engineering. She earned the Doctor of Philosophy in Fuzzy Based learning Algorithms for Big Data Classification from Department of Computer Science and Engineering, Indian Institute of Technology Indore (IIT Indore), India

    Prior to joining MU, she worked as an Assistant Professor in BITS Pilani Hyderabad, IIIT Dharwad, Jaypee Institute of Information Technology Noida. She is passionate to work in the area of machine learning, Big Data, applications of bioinformatics etc. She has made substantial contributions to the field of machine learning with 30+ research articles in top journals including IEEE Transactions and SCI/SCEI Journals and in top-class conferences like FUZZ-IEEE, WCCI, ICONIP, IJCNN, etc.

    She is the reviewer of many International Journal like IEEE Transactions of Fuzzy Sets and Systems, IEEE Transactions of Big Data, IEEE Transactions on Cybernetics, etc. She also served as the reviewer of many top-class conferences like IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC), IEEE Symposium Series on Computational Intelligence (IEEE SSCI). IEEE Congress on Evolutionary Computation (IEEE CEC), IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), etc.

    • January 2013 – January 2018: Doctor of Philosophy, Indian Institute of Technology Indore, India (IIT Indore)
      Dissertation Title: Investigations in Fuzzy based Learning Algorithms with Application to Big Data Classification.
    • July 2009 to Dec 2011: Master of Engineering, Shri Govindram Seksaria Institute of Technology and Science, Indore, India (SGSITS, Indore).
    • July 2004 to May 2008: Bachelor of Technology, Department of Information Technology, from Rajiv Gandhi Proudyogiki Vishwavidyalaya (RGPV), Bhopal.

    International Journal Publications:
    • R. Dwivedi, A. Tiwari, N. Bharill et al., “A Novel Clustering-Based Hybrid Feature Selection Approach Using Ant Colony Optimization,” Arabian Journal of Science and Engineering, Springer, March 2023, https://doi.org/10.1007/s13369-023-07719-7. (Impact factor: 2.9, SCIE Index)
    • P. Jha., A. Tiwari, N. Bharill, N., Ratnaparkhe, M., Patel, O. P., Harshith, N., … & Nagendra, N, “Apache Spark-based scalable feature extraction approaches for protein sequence and their clustering performance analysis,” International Journal of Data Science and Analytics, Springer, vol. 15, pp. 359-378, 2023 (Impact factor: 2.4, Scopus Index)
    • Jha, A. Tiwari, N. Bharill, “Scalable incremental fuzzy consensus clustering algorithm for handling big data”, Soft computing, springer, Vol. 25, pp. 8703–8719, 2021, doi: https://doi.org/10.1007/s00500-021-05733-1[SCIE Index, Impact Factor 3.643]
    • Jha, A. Tiwari, N. Bharill, M. Ratnaparkhe, M. Mounika and N. Nagendra, “Apache Spark Based Kernelized Fuzzy Clustering Framework for Single Nucleotide Polymorphism Sequence Analysis”, Computational Biology and Chemistry Elsevier, vol. 92, pp. 107454 -107466, 2021[SCI Index, Impact Factor: 2.877]
    • Jha, A. Tiwari, N. Bharill, M. Ratnaparkhe, M. Mounika and N. Nagendra, “A Novel Scalable Kernelized Fuzzy Clustering Algorithms Based on In-Memory Computation for Handling Big Data,” in IEEE Transactions on Emerging Topics in Computational Intelligence, pp. 1-12, 2020, doi: 10.1109/TETCI.2020.3016302 [SCIE Index]
    • P. Patel, N. Bharill, A. Tiwari, M. Prasad, “A Novel Quantum-inspired Fuzzy Based Neural Network for Data Classification”, IEEE Transactions on Emerging Topics in Computing, DOI: 10.1109/TETC.2019.2901272, ISSN: 2168-6750, pp. 1-14, 2019 [SCI Index, Impact Factor: 7.691]
    • Bharill, A. Tiwari, A. Malviya, O. P. Patel, A. Gupta, D. Puthal, A. Saxena, and M. Prasad, “Fuzzy Knowledge Based Performance Analysis on Big Data”, Neurocomputing Elsevier, DOI: 10.1016/j.neucom.2018.10.088, 2019 [SCI Index, Impact Factor: 5.719]
    • P. Patel, N. Bharill, A. Tiwari, V. Patel, O. Gupta, J. Cao, J. Li, M. Prasad, “Advanced Quantum Based Neural Network Classifier and its Application for Objectionable Web Content Filtering”, IEEE Access, vol. 7, pp. 98069-98082, 2019 [SCI Index, Impact Factor: 3.367]
    • Bharill, O. P. Patel, A. Tiwari, D. L. Li, M. Mohanthy, O. P. Kaiwartya, M. Prasad, “A Generalized Enhanced Quantum Fuzzy Approach For Efficient Data Clustering”, IEEE Access, DOI: 10.1109/ACCESS.2019.2891956, 2018[SCI Index, Impact Factor: 3.367]
    • Bharill, A. Tiwari, A Malviya, M. Ratnaparkhe, “Protein Superfamily Classification Usinf a Novel Three Stage Feature Extraction Approach” International Journal of Computational Intelligence and Applications, World Scientific, 2018.
    • Saxena, M. Prasad, A. Gupta, N. Bharill, O.P. Patel, A. Tiwari, M. Joo, W. Ding, C. T.Lin, “A Review of Clustering Techniques and Developments”, Neurocomputing, Elsevier, vol. 267, pp. 664-681, 2017 [SCI Index, Impact Factor: 5.719]
    • Bharill, O.P. Patel, A. Tiwari, “Quantum-Inspired Evolutionary Approach for Selection of Optimal Parameters of Fuzzy Clustering”, International Journal of System Assurance Engineering and Management, Springer, DOI: 10.1007/s13198-017-0681-x, vol. 9, issue 4, pp. 875-887, 2017.
    • P Patel, A. Tiwari, R. Chaudhary, S.V. Nuthalapati, N. Bharill, M. Prasad, F.K. Hussain, and O.K. Hussain, “Enhanced Quantum-based Neural Network Learning and its Application to Signature Verification”, Soft Computing, Springer, DOI: 10.1007/s00500-017-2954-3, pp. 1-14, 2017 [SCIE Index, Impact Factor: 3.643]
    • Bharill, A. Tiwari, and A. Malviya, “Fuzzy Based Scalable Clustering Algorithms for Handling Big data using Apache Spark”, IEEE Transactions on Big Data, vol. 2, no. 4, DOI: 10.1109/TBDATA.2016.2622288, ISSN: 2332-7790, pp. 339-352, 2016 [SCIE Index, Impact Factor: 3.344]
    • Bharill, A. Tiwari, A. Rawat, “A Novel Technique of Feature Extraction with Dual Similarity Measures for Protein Sequence Classification”, Procedia computer Science, Elsevier, vol. 48, pp. 795-801, 2015.
    International Conference Publications:
    • P. Jha, A. Tiwari, N. Bharill, O.P Patel et al, “Machine Learning Algorithm for Soybean Leaf Disease Detection,” International Conference on Vegetable Oils-2023 (ICVO 2023), January 17-21, Hyderabad (In press).
    • Jha, A. Tiwari, N. Bharill,M. Ratnaparkhe, O. P. Patel, N. Harshith and S. Lahari Solasa, “A Novel Scalable Feature Extraction Approach for COVID-19 Protein Sequences and their Cluster Analysis with Kernelized Fuzzy Algorithm”, 2022 IEEE International Conference on Big Data and Smart Computing (IEEE BigComp), Daegu, Korea, January 17-20, 2022 (Accepted).
    • P. Mogre, P. Gadge, N. Totala, A. Tiwari, N. Bharill and M. Ratnaparkhe, “Design and Development of a Mobile App for Disease & Insect Identification in Soybean Plants CropDoctor,” 3rd International Conference on Rural Technology Development and Delivery (RTDD): RuTAG, pp. 34, March 4-6, 2022.
    • S. Siddhartha, O. P. Patel, N. Bharill, “Advanced Quantum Inspired Evolutionary Algorithm for Multivariate Optimization”, The 24th IEEE/ACIS-Sponsored International Conference on Software Engineering, Artifical Intelligence, Networking, and Parallel/Distributed Computing (SNDP2022), December 7-9, 2022, Taichung, Taiwan (Accepted, Rank C)
    • R. Dwivedi, A. Tiwari, N. Bharill, and M. Ratnaparkhe, “A Hybrid Feature Selection Approach for Data Clustering Based on Ant Colony Optimization” The 29th International Conference on Neural Information Processing (ICONIP 2022), November 22-26, 2022, pp. 659-670, India (Rank-A).
    • P. Jha, A. Tiwari, N. Bharill, M. Ratnaparkhe, O.P. Patel, S. Saloni, and N. Sreeharsh, “HPC Based Scalable Logarithmic Kernelized Fuzzy Clustering Algorithms for Handling Big Data”, The 29th International Conference on Neural Information Processing (ICONIP 2022), November 22-26, 2022, pp. 205-215, India (Rank-A).
    • P. Jha, A. Tiwari, N. Bharill, M. Ratnaparkhe, O. P. Patel, A. Chauhan, N. Sreeharsh, R. Pulakitha, S. Saloni, “Scalable Feature Extraction and Fuzzy Clustering for Large RNAseq Analysis on High-Performance Computing”, IEEE Symposium Series On Computational Intelligence 2022, December 4-7, Singapore (Accepted, Rank-B)
    • P. Jha, A. Tiwari, N. Bharill, M. Ratnaparkhe, O. P. Patel, R. Pulakitha, A. Chauhan, “High-Performance Computing based Scalable Online Fuzzy Clustering Algorithms for Big Data”, IEEE Symposium Series On Computational Intelligence 2022, December 4-7, Singapore, pp. 1400-1407, doi: 10.1109/SSCI51031.2022.10022194 (Rank-B).
    • S. Siddhartha, O.P. Patel, N. Bharill, “Advanced Quantum Inspired Evolutionary Optimization Algorithm”, 2022 International Conference on Emerging Techniques in Computational Intelligence (ICETCI), 2022 pp. 57-64, doi: 10.1109/ICETCI55171.2022.9921362.
    • P. Jha, A. Tiwari, N. Bharill, M. Ratnaparkhe, O.P. Patel, V. Anand, S. Arya, T. Singh, “HPC enabled a Novel Deep Fuzzy Scalable Clustering Algorithm and its Application for Protein Data”, 19th IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology 15-17 August, pp. 1-8, 2022, Ottawa, ON, Canada (Rank-B)
    • P. Jha, A. Tiwari, N. Bharill, M. Ratnaparkhe, O.P. Patel, N. Harshith and S. Lahari Solasa, “A Novel Scalable Feature Extraction Approach for COVID-19 Protein Sequences and their Cluster Analysis with Kernelized Fuzzy Algorithm”, 2022 IEEE International Conference on Big Data and Smart Computing (IEEE BigComp), Daegu, Korea, January 17-20, pp. 56-59, 2022 (Rank-B)
    • Choudhary, P. Jha, A. Tiwari, N. Bharilland M. Ratnaparkhe, “Scalable Fuzzy Clustering-based Regression to Predict the Isoelectric Points of the Plant Protein Sequences using Apache Spark,” 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2021, pp. 1-6, doi: 10.1109/FUZZ45933.2021.9494447 (Ranked A Conference)
    • Choudhary, P. Jha, A. Tiwari, N. Bharill, “A Brief Survey on Concept Drifted Data Stream Regression”, Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 1393. Springer, Singapore. https://doi.org/10.1007/978-981-16-2712-5_57, 2021.
    • Jha, A. Tiwari, N. Bharill, M. Ratnaparkhe, N Nagendra, M. Mounika, “Fuzzy Based Kernelized Clustering Algorithms for Handling Big Data Using Apache Spark”, In: Nigdeli S.M., Kim J.H., Bekdaş G., Yadav A. (eds) Proceedings of 6th International Conference on Harmony Search, Soft Computing and Applications. ICHSA 2020. Advances in Intelligent Systems and Computing, vol 1275, pp. 423-435, Springer, Singapore, 2020.
    • Thapa, P. Singh, D. K. Jain, N. Bharill, A. Gupta and M. Prasad, “Data-Driven Approach based on Feature Selection Technique for Early Diagnosis of Alzheimer’s Disease,” 2020 International Joint Conference on Neural Networks (IJCNN), 2020, pp. 1-8, doi: 10.1109/IJCNN48605.2020.9207359 (Ranked A Conference)
    • Behra, G. Gupta, R. Yadav, N. Bharill, “Automated Street Lighting System using IoT”, International Conference on Industrial Internet of Things on Smart Manufacturing (IoTsm), Imperial College, London, UK, 5-6 September, 2018, pp. 1-5.
    • Badarinath, C. Siddu, H. N. Suma, A. Appaji, A. Vinekar. N. Bharill, M. Prasad, “Study of Clinical Staging and Classification of Retinal Images for Retinopathy of Prematurity (ROP) Screening”, in Proc. of 2018 IEEE World Congress on Computational Intelligence, IEEE, Rio de Janeiro Brazil, 8-13 July, 2018, pp. 1-6 (Ranked A Conference).
    • Bharilland A. Tiwari, “Handling Big Data with Fuzzy Based Classification Approach”, in Proc. of 3rd Annual World Conference on Soft Computing, San Antonio, Texas, 16-18 December, 2013 pp. 219-227. 12. N. Mehra, A. Tiwari, M. B. Ratnaparkhe, and N. Bharill, “A Computational Analysis of Protein Sequences for Cyclophilin Superfamily using Feature Extraction”, 2018 IEEE Symposium Series on Computational Intelligence (SSCI), Bengaluru, India, 18-21 November, 2018, pp.1953-1957 (Ranked C Conference).
    • Rajora, D. L. Li, C. Jha, N. Bharill, O. P. Patel, S. Joshi, D. Puthal and M. Prasad,”A Comparative Study of Machine Learning Techniques for Credit Card Fraud Detection Based on Time Variance”, 2018 IEEE Symposium Series on Computational Intelligence (SSCI), Bengaluru, India, 18-21 November, 2018, pp. 1958-1963 (Ranked C Conference).
    • P. Chou, M. Prasad, D.L. Li, N. Bharill, Y. F. Lin, F. Hussain, C. T. Lin, and W. C. Lin, “Automatic Multi-view Action Recognition with Robust Features”, in Proc. of 2017 IEEE International Conference on Neural Information Processing (ICONIP), Guangzhou, China, Springer, Cham, 14-18 October, 2017, pp. 554-563 (Ranked A Conference).
    • Singh, M. Prasad, Y.A. Daraghmi, P. Tiwari, P. Yadav, N. Bharill, M. Pratama, and A. Saxena “Fuzzy logic hybrid model with semantic filtering approach for pseudo relevance feedback-based query expansion,” in Proc. of 2017 IEEE Symposium Series on Computational Intelligence (SSCI), Hawaii, USA, 27 Nov. – 1 Dec., 2017, pp. 1-7 (Ranked C Conference)
    • Bharill, O. P. Patel, A. Tiwari, and M. Mantri, “On Construction of Multi-class Binary Neural Network Using Fuzzy Inter-cluster Overlap for Face Recognition”, in Proc. of 2017 Machine Intelligence and Signal Analysis, 22-24 December, IIT Indore, 2018, pp. 657-670.
    • Bharill, A. Tiwari, and A. Malviya, “Fuzzy Based Clustering Algorithms to Handle Big Data with Implementation on Apache Spark,” in Proc. of 2016 Second IEEE International Conference on Big Data Computing Service and Applications, IEEE BigDataService, IEEE, Exeter College, Oxford, UK, 29 March – 1 April, 2016, pp. 95-104.
    • Bharill, O.P. Patel, and A. Tiwari, “An Enhanced Quantum-Inspired Evolutionary Fuzzy Clustering,” in Proc. of 2015 IEEE Symposium Series on Computational Intelligence, IEEE, Cape Town, South Africa, 7-10 December, 2015, pp. 772 – 779 (Ranked C Conference).
    • P. Patel, N. Bharill, and A. Tiwari, “A Quantum-Inspired Fuzzy Based Evolutionary Algorithm for Data Clustering,” in Proc. of 2015 IEEE International Conference on Fuzzy Systems, IEEE, Istanbul, Turkey, 2-5 August, 2015, pp. 1 – 8 (Ranked A Conference).
    • Bharilland A. Tiwari, “A Novel Technique of Feature Extraction based on Local and Global Similarity Measure for Protein Sequence Classification”, in Proc. of the International Conference on Bioinformatics Models, Methods and Algorithms, BIOINFORMATICS, (BIOSTEC 2015), Libson, Portugal, 12-15 January, 2015, pp. 219-224.
    • Bharilland A. Tiwari, “Enhanced Cluster Validity Index for the Evaluation of Optimal Number of Clusters for Fuzzy c – Means Algorithm,” in Proc. of 2014 IEEE International Conference on Fuzzy Systems, IEEE World Congress on Computational Intelligence, IEEE, Beijing, China, 6-11 July, 2014, pp. 1526 – 1533 (Ranked A Conference).
    • Bharill, A. Tiwari, “Multi-class Classification using an Improved Multi-objective Simultaneous Learning Framework” in Proc. of International Conference on Soft Computing for Problem Solving (SocPros 2011), 20-22 December, IIT Roorkee, 2011, pp. 821-831.
    • Bharill, A. Tiwari, “An Improved Multi-objective Simultaneous Learning framework for Designing a Classifier”, IEEE-International Conference on Recent Trends in Information Technology, ICRTITMIT, Anna University Chennai, June 3-5, 2011, pp. 737-742.
    Book Chapters
    • P. Jha, A. Tiwari, N. Bharill, M. Ratnaparkhe, N Nagendra, M. Mounika, “Fuzzy Based Kernelized Clustering Algorithms for Handling Big Data Using Apache Spark”, In: Nigdeli S.M., Kim J.H., Bekdaş G., Yadav A. (eds) Proceedings of 6th International Conference on Harmony Search, Soft Computing and Applications. ICHSA 2020. Advances in Intelligent Systems and Computing, vol 1275, pp. 423-435, Springer, Singapore, 2020.
    • Bharill, Om Prakash Patel, Aruna Tiwari, Megha Mantri, On Construction of Multi-class Binary Neural Network using Fuzzy Inter-cluster Overlap for Face Recognition, ebook: Machine Intelligence and Signal Analysis. Advances in Intelligent Systems and Computing, Tanveer M., Pachori R. (eds), Springer, Singapore, ISBN- 978-981-13-0923-6, DOI: 10.1007/978-981-13-0923-6_56, vol 748, pp 657-670, 2019.
    • N. Bharill, Om Prakash Patel, Aruna Tiwari, Megha Mantri, On Construction of Multi-class Binary Neural Network using Fuzzy Inter-cluster Overlap for Face Recognition, ebook: Machine Intelligence and Signal Analysis. Advances in Intelligent Systems and Computing, Tanveer M., Pachori R. (eds), Springer, Singapore, ISBN- 978-981-13-0923-6, DOI: 10.1007/978-981-13-0923-6_56, vol 748, pp 657-670, 2019.
    • Bharilland Aruna Tiwari, “A Novel Technique of Feature Extraction based on Local and Global Similarity Measure for Protein Sequence Classification”, e-book: Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms, BIOINFORMATICS, (BIOSTEC 2015), Scitepress Digital Library, DOI 10.5220/0005283702190224, ISBN 978-989-758-070-3, vol. 1, pp. 219-224, 2015.
    • Bharilland Aruna Tiwari, “Handling Big Data with Fuzzy Based Classification Approach”, e-book: Studies in Fuzziness and Soft Computing, In Advance Trends in Soft Computing, Springer International Publishing Switzerland, DOI 10.1007/978-3-319- 03674-8-21, ISBN- 978-3-319-03673-1, vol. 312, pp. 219-227, 2014.
    • Bharill, Aruna Tiwari, “Multi-class Classification using an Improved Multiobjective Simultaneous Learning Framework”, e-book: Advances in Intelligent and Soft Computing, Springer New Delhi, vol 131, DOI: 10.1007/978-81-322-0491-6, pp 821-831, 2012.

    • Present She is an Associate Professor in the Department of Computer Science and Engineering at Mahindra University École Centrale School of Engineering.
    • Jaypee Institute of Information Technology: January 2019 – August 2019, Assistant Professor (Senior Grade) at Department of Computer Science and Engineering.
    • Indian Institute of Information Technology Dharwad:December 2017 – January 2019, Assistant Professor at Department of Computer Science and Engineering.
    • Birla Institute of Technology and Science, Pilani-Hyderabad: July 2017- December 2017, Visiting Faculty atDepartment of Computer Science and Information Systems.
    • Medicaps University Indore: September 2011 – December 2012, Assistant Professor at Department of Computer Science and Engineering.
    • Bansal Institute of Science and Technology Bhopal: August 2008 – July 2009 Lecturer at Department of Information Technology.

    Research Interests: Major Focus: Machine Learning, Big Data, Genome Sequencing.

    Funded Research Projects and Grants:

    • Title: Design of a Novel Machine Learning Algorithms using High-Performance Computing for Next Generation Sequence Analysis of Soybean Genomes Funding Approved: 1.5 lakhs Role: PI
      Funding Agency: Mahindra University, Ecole Centrale College of Engineering, Hyderabad Duration: 2 Years (2019 – 2021) Status: Completed
    • Title: A Novel Integrated Scalable System for Protein Sequence and SNP Data Analysis using Clustering and Classification.Funding Approved: 16.17 Lakhs Role: Co-PI
      Funding Agency: Council of Scientific and Industrial Research (CSIR), Govt. of India. Duration: 3 Years Status: Project Approved dated 21 Dec 2020
    • Title: A Novel Scalable High-Performance Machine Learning Algorithms for NGS Analysis of Genomics Data at Exascale Level Funds Approved: 35.55 lakhs Role: Co-PI
      Funding Agency: National Supercomputing Mission, HPC Applications Development Funded Research Project by DST in collaboration with the Ministry of Electronics and Information Technology (Meity) Duration: 2 Years Status: Project Sanctioned dated 23 March 2021, Completed

    Ph.D. Supervision

    • Student Name: Ms. Preeti Jha
      Ph.D. thesis title: Design of scalable fuzzy clustering algorithms and its application to huge genomics data.
      Status: Awarded with VPP Menon Gold Medal, 23 December 2021 Parent Institute: Indian Institute of Technology Indore
      Role: External Supervisor / Co-supervisor
    • Student Name: Mr. Rajesh Dwivedi
      Ph.D. thesis title: Investigation in Scalable Evolutionary approach for clustering and classification of single nucleotide polymorphisms (SNPs) for Drought Resistance Gene Discovery. Status: Ongoing, 23 March 2021
      Parent Institute: Indian Institute of Technology Indore
      Role: External Supervisor / Co-supervisor
    Awards
    • International Travel Award of 1.6 Lakhs by SERB, Department of Science and Technology (DST), Govt. of Indiafor attending and presenting paper in “IEEE Symposium Series on Computational Intelligence (SSCI)” 2015, Reference no: ITS/4852/2015-16.

    Organized Workshop/Conference Special Session/ Summer School:

    • Special session on “Evolutionary Quantum inspired Machine Learning Algorithms” at IEEE World Congress on Computational Intelligence (WCCI 2020), PADUA, ITALY from 18thJuly to 23th July, 2022
    • Special session on “Hybrid Machine Learning Algorithms and Applications” in International Conference on Emerging Techniques in Computational Intelligence, Mahindra University, Hyderabad from 25-27 Aug, 2021.
    • Special Session on “Scalable Incremental Fuzzy Learning Techniques for Big Data and Genome Sequence Analysis” at IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2021), Luxembourg, Europe from 11thJuly to 14th July, 2021
    • Special Session on “Evolutionary Quantum inspired Machine Learning Algorithms” at IEEE Congress on Evolutionary Computation (IEEE CEC 2021), Krakow, Poland from 28thJune to 1st July, 2021
    • Special Session on “Advance Scalable Machine Learning Techniques for NGS Analysis of Big Data” at International Joint Conference on Neural Networks (IJCNN 2020) under IEEE World Congress on Computational Intelligence (WCCI 2020), Glasgow, UK from 19thJuly to 24th July, 2020
    • Special Session on “Artificial Intelligence Technologies in Internet of Things (IOT)” at IEEE World Congress on Computational Intelligence (WCCI 2020), Glasgow, UK from 19thJuly to 24th July, 2020
    • Special Session on “Soft Computing: Internet of Everything” at IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC), Bari, Italy from 6thOct to 9th Oct, 2019
    • Special Session on “Evolutionary Algorithms and Applications” at 9thInternational Conference on Soft Computing for Problem Solving 2019 (Socpros 2019), Liverpool Hope University, UK from 2nd Sept to 4th Sept 2019
    • Special Session on “Computational Intelligence in Scalable Machine Learning Techniques for Genomics Data” at IEEE Symposium on Computational Intelligence in Internet of Everything, IEEE-SSCI, Bengaluru, India from 18 Nov to 21 Nov, 2018
    • Two Week Summer School on “Intelligent Internet of Things” at Jaypee Institute of Information Technology (JIIT), Sector 128, Noida from 24thJune to 6th July, 2019.
    • Workshop on “High Performance Computing in the Agriculture Domain” under the National Supercomputing Mission (NSM) from Supercomputer Education and Research Center (SERC) Jointly conducted by Mahindra University, IIT Indore, ICAR-IISR Indore in collaboration with C-DAC Pune, IISC Bangalore, IIT Kharagpur from 14thJuly to 16th July, 2021

    Session Chair/ Tutorial Chair/Local Arrangement chair in International Conference:

    • I-P21-Reinforcement Learning and Adaptive Dynamic Programming at International Joint Conference on Neural Networks (IJCNN 2020) under IEEE World Congress on Computational Intelligence (WCCI 2020), Glasgow, UK from 19thJuly to 24th July, 2020
    • Reinforcement Learning and Adaptive Dynamic Programming at International Joint Conference on Neural Networks (IJCNN 2020) under IEEE World Congress on Computational Intelligence (WCCI 2020), Glasgow, UK from 19thJuly to 24th July, 2020.
    • Internet for Everything (CIIoET) at IEEE Symposium Series on Computational Intelligence (IEEE-SSCI) in, Bengaluru, India from 18thNov to 21th Nov 2018.
    • IEEE World Congress on Computational Intelligence (WCCI), Beijing, China from 06thJuly to 11th July 2014
    • Chairing Machine Learning 2 session at 2022 IEEE International Conference on Big Data and Smart Computing (IEEE BigComp), Daegu, Korea, January 17-20, 2022.

    International Conference Attended:

    • 2018 IEEE Symposium Series on Computational Intelligence (IEEE-SSCI), Bengaluru, India, from 18thNov to 21th Nov 2018.
    • 2015 IEEE Symposium Series on Computational Intelligence held at Cape Town, South Africa from 8thDecember to 10th December 2015.
    • 2014 IEEE World Congress on Computational Intelligence (WCCI), Beijing, China from 06thJuly to 11th July 2014.
    • 2013 Third Annual World Conference on Soft Computing (WCSC 2013) held at Marriott Riverwalk San Antonio, Texas, USA from 16thDecember to 18th December 2013.
    • International Conference on Soft Computing for Problem Solving (SocPros 2011) organized by IIT Roorkee from 20thDecember to 22nd December 2011.
    • International Conference on Recent Trends in Information Technology organized by Department of Information Technology MIT Campus, Anna University, Chennai from 03rdJune to 5th June, 2011.
    • International Conference on Machine Intelligence and Signal Processing (MISP 2017) organized by IIT Indore from 22ndDecember to 24th December 2017

    Invited Lectures/ Keynote Speaker

    • Expert lecture on “Big Data Analytics” in TEQIP-III Sponsored Short-Term Course (STC) on “Recent Trends in Machine Learning and Soft Computing” organized by Indian Institute of Technology Indoreduring December 18-20, 2020.
    • Expert lecture on “Introduction to Data Science, Data Preprocessing, Overview of Python for Data Science”in A One Week Short Term Training Programme on Predictive Analytics using Artificial Intelligence (STTP-PAUAI) on December 15, 2020 at NRI Institute of Technology, Agiripalli, Krishna, Dt., A.P.
    • Expert lecture on “Data Mining Concepts, Big Data Analytics and Applications”in A One Week Short Term Training Programme on Predictive Analytics using Artificial Intelligence (STTP-PAUAI) on December 14, 2020 at NRI Institute of Technology, Agiripalli, Krishna, Dt., A.P.
    • Expert lecture on “Data Mining Concepts, Big Data Analytics and Applications”in A One Week Short Term Training Programme on Predictive Analytics using Artificial Intelligence (STTP-PAUAI) on November 02, 2020 at NRI Institute of Technology, Agiripalli, Krishna, Dt., A.P.
    • Expert lecture on “A Multi Objective Optimization using Evolutionary Learning for Fuzzy Based Clustering and Classification”at Third National Workshop on Computational Intelligence (NWCI-2019) during April 26-27, 2019 at Jaypee Institute of Information Technology, Sector-128, Noida.
    • Expert lecture on “Scalable Fuzzy Clustering technique for Big Data Classification with an Application to Genome Classification”at Five Days Faculty Development Programme on Machine Learning: Techniques and Tools on December 17, 2018 at JSS Academy of Technical Education, Bengaluru.
    • Expert lecture on “Fuzzy Clustering Techniques and its Application”at Faculty Development Program on Machine Learning Workshop during July 26-27, 2018 at Indian Institute of Information Technology Dharwad.
    • Expert lecture on “Scalable Fuzzy Clustering and its Application to Genomics” at Workshop High Performance Computing in the Agriculture Domainunder the National Supercomputing Mission (NSM) from Supercomputer Education and Research Center (SERC) jointly conducted by Mahindra University, IIT Indore, ICAR-IISR Indore in collaboration with C-DAC Pune, IISC Bangalore, IIT Kharagpur during 14th July to 16th July, 2021 in virtual mode.

    Professional Services:

    • Editorial Board Member: Biomed Communication Journal WHIOCE publishing PTE. LTD. 2018.
    • Editorial Board Member: ESN- International Journal of Engineering and Technology (IJET), 2019, Member ID: ESNJA11.

    Dr. Sanjukta Das is an Associate Professor at Mahindra University. Her areas of interest are differential equations, Control Theory, Semigroup Theory, Functional Analysis and Dynamical Systems.

    • Ph.D. Mathematics (Differential equations & Control theory) – Indian Institute of Technology Roorkee (2015)
    • M.Sc. Applied Mathematics – Hyderabad Central University (2011)
    • B.Sc Mathematics Hons. – Jadavpur University, Kolkata (2009)
    • 12th Standard (ISC) – Our Lady Queen of the Mission School, Kolkata (2006)
    • 10th Standard (ICSE) – Young Horizons, Kolkata (2004)

    • Sanjukta Das, An investigation on the optimality condition of Caputo fractional time delay system. An International Journal of Optimization and Control: Theories & Applications. (IJOCTA). Vol.15, No.2, pp.368-378 (2025). ACCSCIENCE Publishing. https://doi.org/10.36922/ijocta.1689
    • Sanjukta Das, An investigation on the optimality condition of Caputo fractional time delay system. An International Journal of Optimization and Control: Theories & Applications (IJOCTA). Article ID: 1689. : 2.2. Accepted. AccScience Publishing, Singapore. https://ijocta.org/index.php/files/index
    • Controllability of Hilfer Fractional Semilinear Integro-Differential Equation of Order α ∊ (0, 1), β ∊ [0, 1]”, is published in Contemporary Mathematics, Volume 5 Issue 1|2024| 125 http://ojs.wiserpub.com/index.php/CM/
    • “Time-optimal feedback control of nonlocal Hilfer fractional state-dependent delay inclusion with Clarke’s subdifferential” , Vidushi Tripathi, Sanjukta Das, Mathematical Methods in Applied Sciences, Wiley Publishers, First published: 03 March 2024 , https://doi.org/10.1002/mma.9994
    • “Optimal control of a class of Caputo fractional systems,” The Journal of Analysis, Springer, https://doi.org/10.1007/s41478-024-00840-2., Authors: Sanjukta Das, Vidushi Tripathi. Year: 2024.
    • Published paper in Bulletin of the Calcutta Mathematical Society, Volume 114 no .3 2022.click here
    • “Exact controllability and continuous dependence of solution of a conformable fractional control system”, Author Sanjukta Das DOI:10.30495/MACA.2022.1947815.1042, http://www.macajournal.com/article_688922.html
    • Sanjukta Das, “Controllability of a Neutral Stochastic Evolution Equation”, Journal of Mathematics and Statistical Science, Vol.7, Issue 12, December 2021, 267 – 281 .
    • Sanjukta Das, D. N. Pandey and N. Sukavanam, “Existence of solution and approximate controllability of a second-order neutral stochastic differential equation with state dependent delay”, Article in Acta Mathematica Scientia Elsevier, 36(5):1509-1523 · September 2016 DOI: 10.1016/S0252-9602(16)30086-8
    • Sanjukta Das, “Approximate Controllability of an Impulsive Neutral Differential Equation with Deviating Argument and Bounded Delay”, Vol. 8(2) July 2017, pp. 132-142. ISSN: 2090-5858. http://fcag-egypt.com/Journals/JFCA/.
    • Sanjukta Das, D. N. Pandey, and N. Sukavanam, “Approximate controllability of an impulsive neutral fractional stochastic differential equation with deviated argument and infinite delay”, NONLINEAR STUDIES – nonlinearstudies.com. Vol. 22, No. 1, pp. 1-16, 2015, c ? CSP – Cambridge, UK; I&S – Florida, USA, 2015.
    • Sanjukta Das, D. N. Pandey, and N. Sukavanam, “Approximations of Solutions of a Fractional Stochastic Differential Equations with Deviated Argument”, Vol. 6, No. 2, pp.160-170, 2015, Journal of Fractional Calculus and Applications, ISSN- 2090-5858.
    • Sanjukta Das, D. N. Pandey, and N. Sukavanam, “Approximations of Solutions to Neutral Retarded Integro-differential Equations”, vol 2015 (4), 2015, pp. 47-65, Journal of Nonlinear Evolution Equations, ISSN 2161-3680.
    • Sanjukta Das, D. N. Pandey, and N. Sukavanam, “Approximate Controllability of an Impulsive Stochastic Delay Differential Equations”, to appear in Journal of Advanced Research in Dynamical and Control Systems, (JARDCS), jardcs-Oct-21-2014-cf8eb309, volume 7, issue 3, 2015 pp. 78 – 95.
    • Sanjukta Das, D. N. Pandey and N. Sukavanam, “Existence of Solution of Impulsive Second-Order Neutral Integro-Differential Equation with State Delay” in Journal of Integral Equations and Applications, Rocky Mountain Mathematics Consortium, Volume 27, Number 4, Winter 2015
    • Sanjukta Das, D. N. Pandey and N. Sukavanam, “Approximate Controllability of a Second Order Neutral Differential Equation with State Dependent Delay”, Differential Equations and Dynamical Systems, Springer, DOI 10.1007/s12591-014-0218-6, 2014.
    • Sanjukta Das, D. N. Pandey and N. Sukavanam, “Existence of Solution of Impulsive Second-Order Neutral Integro-Differential Equation with State Delay” to appear in Journal of Integral Equations and Applications, Rocky Mountain Mathematics Consortium, http://rmmc.asu.edu/.
    • Sanjukta Das, D. N. Pandey and N. Sukavanam “Approximate Controllability of a Functional Di?erential Equation with Deviated Argument”, Nonlinear Dynamics and Systems Theory, Infor Math, 14(3), (2014), 265–277.
    • Sanjukta Das, D. N. Pandey and N. Sukavanam, “Existence of Solution and Approximate Controllability for Neutral Differential Equation with State Dependent Delay”, International Journal of Partial Differential Equations, Hindawi, Volume 2014, Article ID 787092, 12 pages, ,http://dx.doi.org/10.1155/2014/787092.
    • Sanjukta Das, D. N. Pandey, N. Sukavanam, “Existence of Solution for a Second-Order Neutral Differential Equation with State Dependent Delay and Non-instantaneous Impulses”, International Journal of Nonlinear Science, World Scientific, Vol.18(2014) No.2, pp.145-155.
    • Sanjukta Das, D. N. Pandey, and N. Sukavanam, “Exact Controllability of an Impulsive Semilinear System with Deviated Argument in a Banach Space”, Journal of Difference Equations, Hindawi, Volume 2014, Article ID 461086, 6 pages , http://dx.doi.org/10.1155/2014/461086.
    • Sanjukta Das, D. N. Pandey, and N. Sukavanam, “Approximate Controllability of a Fractional Neutral System with Deviated Argument in Banach Space”, Differential Equations and Dynamical Systems, Springer, DOI: 10.1007/s12591-015-0237-y.

    • She is currently working as a Associate Professor at Mahindra University.
    • Since 2015 December has taught several engineering mathematics courses along with electives such as Topology and Time Series Analysis and Forecasting.

    Key areas included Differential equations, control theory Semigroup Theory, Functional Analysis , Dynamical Systems, and Financial Mathematics.

    Dr. Rakhee Basu is an Associate Professor in Mathematics Department at Mahindra University École Centrale School of Engineering.

    She holds a Ph.D. from University of Hyderabad. She is Passionate in extending the existing line of research to explore applications in the fields of Biology, Control Theory, Variation Calculus, Population Dynamics, Optimization, Sociology and Economics.

    She is a Fluent communicator with proven ability to present to diverse audience.

    • University of Hyderabad: Post-Doc (Kothari Fellowship) (2015-2018)
    • University of Hyderabad: Ph.D. (2009-2015)
    • University of Calcutta: M.Sc., Applied Mathematics ( 2005-2007)
    • Calcutta University: B.Sc., Mathematics (Hons) (2002-2005)
    • Intermediate: Duration (2000 – 2002)
    • S.S.C: Year of Passing (2000)

    • A new formula for investigating delay integro-differential equations using differential transform method involving quotient of two functions, R. Basu, Rocky Mountain Journal of Mathematics, ISSN: 0035-7596, 51(2): 413-421 (April 2021) DOI: 10.1216/rmj.2021.51.413.
    • An iterative scheme for the oscillation criteria of a nonlinear delay differential equation with several deviating arguments, R. Basu.(Accepted in Asian European Journal of Mathematics, 2021. https://doi.org/10.1142/S1793557122500711
    • Functions Preserving Limit Superior, R. Basu, Kannan, K. Sannyasi, N. Unnikrishnan, College Mathematics Journal, ISSN : 07468342, 19311346, (2019), 50(1), 58-60, DOI: doi.org/10.1080/07468342.2019.1534489.
  • S. Panigrahi, R Basu, Necessary and sufficient conditions for oscillation of a neutral delay differential equations with positive and negative coefficients, Dynamics of Continuous, Discrete and Impulsive Systems Series B: Applications and Algorithms, 26(1), 1-21, 2019.
    • Study of Transitivity Through Steepness, V. Kannan, R. Basu, K. Sannyasi, N. Unnikrishnan,Topology Proceedings, ISSN: 2331-1290, (2018), 52, 1-12. DOI: //topology.auburn.edu/tp/52001.
    • Oscillation results for higher order nonlinear neutral differential equations, S. Panigrahi, R. Basu, International Journal of Dynamical Systems and Differential Equations,ISSN: 1752-3591, (2016), 6, 16-35. DOI : 1504/IJDSDE.2016.074573.
    • Oscillation results for third order nonlinear mixed neutral differential equations, S. Panigrahi, R. Basu, Mathematica Slovaca, ISSN: 1337-2211,(2016), 66, 869-886. DOI: org/10.1515/ms-2015-0189.
    • Oscillation results for higher order nonlinear neutral differential equations with positive and negative coefficients, S. Panigrahi, R. Basu, Journal of Applied Analysis, ISSN: 1869-6082, (2015), 109-121. DOI: org/10.1515/jaa-2015-0011/
    • Oscillation criteria for odd higher order nonlinear neutral differential equations with positive and negative coefficients, S. Panigrahi, R. Basu, Differential Equations And Applications, ISSN : 1848-9605, (2015), 7, 363-384. DOI: doi.org/10.7153/dea-07-21.
    • Oscillation Criteria for second order neutral differential equations with positive and negative coefficients, S. Panigrahi, R. Basu, Dynamics of Continuous, Discrete and Impulsive Systems Series A: Mathematical Analysis, ISSN: 1918-2538, (2014), 21, 171-186. DOI: https://online.watsci.org/abstract_pdf/2014v21/v21n2a-pdf/2.pdf.
    • Oscillatory and asymptotic behaviour of fourth order nonlinear neutral delay differential equations with positive and negative coefficients, A. K. Tripathy, S. Panigrahi, R. Basu, Fasciculi Mathematici, ISSN: 0044-4413, (2014), 52, 155-174. DOI: 21008.
    • Oscillation results for fourth order nonlinear neutral differential equations with positive and negative coefficients, A. K. Tripathy, S. Panigrahi, R. Basu, Journal of Mathematical Sciences, ISSN : 1573-8795, (2013), 194, 453-471. DOI: https://link.springer.com/article/10.1007/s10958-013-1540-1
    • Oscillation results for fourth order nonlinear mixed neutral differential equations with quasi-derivatives, S. Panigrahi, R. Basu,Functional Differential Equations, ISSN: 2617-8605, (2012), 19, 195-211. DOI: https://www.ariel.ac.il/wp/fde/.
    • Oscillation of nonlinear neutral differential equations of fourth order with several delays, S. Panigrahi, R. Basu, Annals of the Academy of Romanian Scientists, ISSN : 2066-6594, (2012), 4, 59-89. DOI: http://aos.ro/editura/analeleaosr/annals-on-mathematics/archive/volume-4-no-1-2012

    • Working as an Assistant Professor (Mathematics) in Mahindra University University, Hyderabad Campus from January, 2019 –Present
    • Working as an Assistant Professor (Mathematics) in KL University, Hyderabad Campus from 26th July, 2018 –January 2019.
    • Dr. D. S. Kothari Post-Doctoral Fellowship–August 2015-July 2018.
    • Post-Doctoral Research Area: Dynamical Systems and Real Analysis.
    • Ph.D. degree awarded in 2015
    • Sr. Research Fellow — July 2011- July 2014
    • Jr. Research Fellow — July 2009- June 2011
    • Qualified CSIR NET Dec 2008.

    Teaching Experience:

    • Real Analysis
    • Complex Analysis
    • Ordinary differential Equations
    • MATLAB Programming in Numerical Methods

    • Post Doc. Research Area: Dynamical Systems and Real Analysis.
      (Kothari Fellowship)
    • Ph.D. Research Area: Oscillation Results of Neutral Delay Differential Equations.(CSIR-NET)
    • Thesis title: Study of Qualitative Behaviour of Solutions of a Class of Nonlinear Neutral Delay Differential Equations.
    • Received Indira Gandhi Scholarship for Single Girl Child for Post Graduate Program during 2005-2007.
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