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) https://www.taxmann.com/research/income-tax/top-story/105010000000021741/
• “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)
• ORCID Profile: https://orcid.org/0000-0002-8442-1923

• August 2021 – Present Assistant Professor School of Law MU
• IP Coordinator, Centre for Entrepreneurship and Innovation, Mahindra University, Hyderabad.
• Member, Kalam Program for IP Literacy and Awareness, Institutional Ethics Committee, Institution’s Innovation Council, Timetable and ERP Committee, and ICETCI Committee, Mahindra University, Hyderabad.
• Faculty Member in Charge of Outreach Operations, Co-coordinator for Unnat Bharat Abhiyan, Mentor for Startups at AIC Mahindra, and Member-NCC, Mahindra University, Hyderabad.
• Faculty In Charge for Outreach, Orientation and Convocation Programs, and SPOC for Documentation and Compliance related to BCI, IQAC, and NAAC at SOL-MU.
• Board of Studies – Internal Member and Co-coordinator, SOL-MU.
• Member of Editorial, Media, Newsletter and Journal Publication Committee, Program Mapping and ERP Committee, Examination Committee, Research Committee, International Liaison and Collaboration Committee, and Conferences and Workshops Committee, SOL-MU.
• Formerly associated with Bennett University, Sharda University, AIMT Greater Noida, IIMT Group, Vidya Knowledge Park Meerut, KITE Group, and Sri Ravi Verma & Company in academic, administrative, outreach, liaison, auditing, and leadership roles.
• Represented various institutions in more than 5500 counselling workshops across India, Sri Lanka, UAE, Qatar, Nepal, Bhutan, and other regions through institutional outreach initiatives.

• Research interests include Emerging Technologies Laws such as Artificial Intelligence, Blockchain, Cryptocurrencies, Drones, Robotics, and Space Exploration, with common domains in Finance, Corporate Policy & Governance, and Taxation.
• Additional areas of interest include AI, Blockchain, Cryptocurrencies, Data Analytics, FinTech, Intellectual Property, Public Policy, Regulation, and Governance.

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.

• 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:

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.

Google Scholar Profile: https://scholar.google.com/citations?user=AgOPIQcAAAAJ&hl=en

• Associate Professor, Mahindra University, Ecole Centrale School of Engineering, Hyderabad (December 2022 – Present).

• Assistant Professor, Mahindra University, Ecole Centrale School of Engineering, Hyderabad (August 2019 – December 2022).
• Assistant Professor (Senior Grade), Jaypee Institute of Information Technology, Noida (January 2019 – August 2019).
• Assistant Professor, Indian Institute of Information Technology, Dharwad (December 2017 – January 2019).
• Visiting Faculty, Birla Institute of Technology and Science (BITS), Pilani–Hyderabad (July 2017 – December 2017).
• Assistant Professor, Medicaps University, Indore (September 2011 – December 2012).
• Lecturer, Bansal Institute of Science and Technology, Bhopal (August 2008 – July 2009).
• Organizer, Workshop on “Sustainable Agriculture Using Bharat Agri-Grid Ecosystem” under the National Supercomputing Mission (NSM), jointly conducted by Mahindra University, IIT Indore, and ICAR-IISR Indore in collaboration with leading national institutions including IIT Jodhpur, C-DAC Pune, IISc Bangalore, CSIR-CEERI Pilani, and NCL Pune (June 2022).
• Organizer, Workshop on “High Performance Computing in the Agriculture Domain” under the National Supercomputing Mission (NSM), jointly conducted by Mahindra University, IIT Indore, and ICAR-IISR Indore in collaboration with C-DAC Pune, IISc Bangalore, and IIT Kharagpur (July 2021).
• Organizer of Special Sessions at IEEE WCCI 2020, IEEE CEC 2021, FUZZ-IEEE 2021, IEEE SMC 2019, IEEE-SSCI 2018, IJCNN 2020, and ICETCI 2021 on topics related to Evolutionary Machine Learning, Artificial Intelligence, Internet of Things, Big Data, Computational Intelligence, Fuzzy Learning, and Genomics Data Analysis.
• Organizer, Two-Week Summer School on “Intelligent Internet of Things” at Jaypee Institute of Information Technology (JIIT), Noida (June–July 2019).
• Session Chair at IEEE BigComp 2022, IEEE WCCI 2020, IEEE-SSCI 2018, and IEEE WCCI 2014 for sessions related to Machine Learning, Reinforcement Learning, Adaptive Dynamic Programming, and Computational Intelligence.
• Local Arrangement Chair, IEEE Symposium Series on Computational Intelligence (IEEE-SSCI), Bengaluru, India (2018).

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 18^thJuly to 23^th 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 11^thJuly to 14^th July, 2021
• Special Session on “Evolutionary Quantum inspired Machine Learning Algorithms” at IEEE Congress on Evolutionary Computation (IEEE CEC 2021), Krakow, Poland from 28^thJune to 1^st 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 19^thJuly to 24^th 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 19^thJuly to 24^th July, 2020
• Special Session on “Soft Computing: Internet of Everything” at IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC), Bari, Italy from 6^thOct to 9^th Oct, 2019
• Special Session on “Evolutionary Algorithms and Applications” at 9^thInternational Conference on Soft Computing for Problem Solving 2019 (Socpros 2019), Liverpool Hope University, UK from 2^nd Sept to 4^th 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 24^thJune to 6^th 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 14^thJuly to 16^th 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 19^thJuly to 24^th 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 19^thJuly to 24^th July, 2020.
• Internet for Everything (CIIoET) at IEEE Symposium Series on Computational Intelligence (IEEE-SSCI) in, Bengaluru, India from 18^thNov to 21^th Nov 2018.
• IEEE World Congress on Computational Intelligence (WCCI), Beijing, China from 06^thJuly to 11^th 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 18^thNov to 21^th Nov 2018.
• 2015 IEEE Symposium Series on Computational Intelligence held at Cape Town, South Africa from 8^thDecember to 10^th December 2015.
• 2014 IEEE World Congress on Computational Intelligence (WCCI), Beijing, China from 06^thJuly to 11^th July 2014.
• 2013 Third Annual World Conference on Soft Computing (WCSC 2013) held at Marriott Riverwalk San Antonio, Texas, USA from 16^thDecember to 18^th December 2013.
• International Conference on Soft Computing for Problem Solving (SocPros 2011) organized by IIT Roorkee from 20^thDecember to 22^nd December 2011.
• International Conference on Recent Trends in Information Technology organized by Department of Information Technology MIT Campus, Anna University, Chennai from 03^rdJune to 5^th June, 2011.
• International Conference on Machine Intelligence and Signal Processing (MISP 2017) organized by IIT Indore from 22^ndDecember to 24^th 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 14^th July to 16^th 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)

• 12^th Standard (ISC) – Our Lady Queen of the Mission School, Kolkata (2006)

• 10^th 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, “Controllability of a class of conformable fractional differential system” , Journal of Control and Decision , Volume 8 Issue 4, 2020, https://www.tandfonline.com/eprint/CGFKBU4VXY4ACENKHZER/full?target=10.1080/23307706.2020.1857314.

• 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)

• Basu, R., Lather, J. “An Iterative Method for the Qualitative Analysis of Nonlinear Neutral Delay Differential Equations”. J Math Sci (2024). https://doi.org/10.1007/s10958-024-06954-z
• Analyzing Computer Virus Propagation: Integrating Monte Carlo Simulations with Delay Differential Equation Models by Abhirath Sangala, Ananya Hazarika, Raghu Kisore Neelisetti, Rakhee Basu, Mahindra University, Hyderabad, India. 2024 International Conference on Emerging Techniques in Computational Intelligence (ICETCI) Analyzing Computer Virus Propagation: Integrating Monte Carlo Simulations with Delay Differential Equation Models | IEEE Conference Publication | IEEE Xplore

• 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 fourth order nonlinear neutral differential equations with quasi-derivatives, S. Panigrahi, R. Basu, Functional Differential Equations, ISSN: 2617-8605, (2017), 24, 95-110.
• Oscillation criteria for a forced second order neutral delay differential equations, S. Panigrahi, R. Basu, Functional Differential Equations, ISSN: 2617-8605, (2017), 24, 27-44. DOI: https://www.ariel.ac.il/wp/fde/wp-content/uploads/sites/97/2019/03/OSCILLATION-CRITERIA-FOR-A-FORCED-SECOND-24.1-2.pdf.

• 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

ORCID: https://orcid.org/0000-0001-7177-9275

• Working as an Assistant Professor (Mathematics) in Mahindra University, Hyderabad Campus (January 2019 –Present)

• Working as an Assistant Professor (Mathematics) in KL University, Hyderabad Campus (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.

• Sr. Research Fellow (July 2011- July 2014)

• Jr. Research Fellow (July 2009- June 2011)

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.

Rakhee Basu addressed the qualitative behavior of solutions of Delay Differential Equations and Fractional differential equations of various mathematical models and is passionate in extending the existing line of research to explore applications in the fields of Machine learning, Biology and Economics.

Areas of Research Interest: Delay differential equations, Fractional differential equation, Stochastic differential equations.

Dr. Ravi K. Bompelly is an Associate Professor in the Mechanical Engineering Department at Ecole Centrale School of Engineering. His research interests are in the areas of combustion, propulsion, clean energy, and fluid mechanics. He has about five years of experience in designing advanced gas turbine engines for the power/aviation industry.

• Ph.D. – Aerospace Engineering, Georgia Institute of Technology, Atlanta, GA, USA – 2012

• M.S. – Aerospace Engineering, Georgia Institute of Technology, Atlanta, GA, USA – 2008

• B.Tech & M.Tech (Dual Degree) – Aerospace Engineering, IIT Madras, Chennai, India – 2006

• Bompelly, R. K. and Seitzman, J. (2024) ‘Lean Blowout Proximity Sensing in a Low Emission Liquid-Fueled Combustor’, Combustion Science and Technology, pp. 1–27. https://doi.org/10.1080/00102202.2024.2372433

• Bompelly, R., Ponduri, SPK, Maddila, S, “Vortex Breakdown and Recirculation Bubble Formation in Counter Swirl Flows” Proceedings of the ASME Turbo Expo, Vol. 3B, p. V03BT04A022, (2021). https://doi.org/10.1115/GT2021-60005

• Bompelly, R., Seitzman, J., “Robust Lean Blowout Sensing for Turbine Engine Combustors” Proceedings of the ASME Turbo Expo, Vol 3, p. 445-455, (2011). https://doi.org/10.1115/GT2011-46702
• Bompelly, R., Seitzman, J., “Static Stability Margin Sensing in a LDI Turbine Engine Combustor at Elevated Pressure” 49th AIAA Aerospace Sciences Meeting, p. 514, Paper AIAA 2011-514, (2011). https://doi.org/10.2514/6.2011-514

• Bompelly, R., Periagaram, K., Lieuwen, T., Seitzman, J., “Static Stability Margin Sensing in a Lean Direct Injection (LDI) Turbine Engine Combustor” 48th AIAA Aerospace Sciences Meeting, P. 0193, Paper AIAA 2010- 0193, (2010). https://doi.org/10.2514/6.2010-193

Presentations

• Seitzman, J., Lieuwen, T., Crawford, J., Bompelly, R., “Detection and Control of Instabilities and Blowoff for Low Emissions Combustors” NASA Fundamental Aeronautics Program Technical Conference, 2012, Cleveland, OH.

• Seitzman, J., Lieuwen, T., Crawford, J., Bompelly, R., “Detection and Control of Instabilities and Blowoff for Low Emission Combustors” NASA GRC Propulsion Controls and Diagnostics (PCD) Workshop, 2009, Cleveland, OH.

• Seitzman, J., Lieuwen, T., Crawford, J., Bompelly, R., “Detection and Control of Static and Dynamic Combustor Instability” NASA Fundamental Aeronautics Program Annual Meeting, 2008, Atlanta, GA.

• Mahindra University, Assistant Professor – 2018 – present

• GE Aviation, Bangalore, India, Lead Engineer – 2014-2018

• TAO Sustainable Power Solutions, West Palm Beach, FL, USA, Combustion Engineer – 2012-2013

• Graduate Teaching and Research Assistant, Georgia Institute of Technology, Atlanta, GA, 2006-2012.

Research Areas
Gas turbine combustion, Combustion Instabilities, Emissions, Laser Flow Diagnostics, Experimental Testing and CFD modeling, Turbine Aerodynamics

Sponsored Research Projects

• Design optimization of turbine nozzle guide vane three dimensional airfoils, Sponsored by Aeronautics Research and Development Board (AR&DB), Role: Principal investigator, INR 48.18 lakhs, 2023.
• Investigation and Development of Physics Informed Neural Networks for Analysis of Complex Fluid Dynamics phenomena, Sponsored by Aeronautics Research and Development Board (AR&DB), Role: Co-PI, INR 25 Lacs, 2022.
• Detection and Control of Instabilities and Blowout for Low Emission Combustors, Sponsored by NASA Glenn Research Center, OH, USA, 2007-2012.

Awards

• Secured national 8^thrank in the entrance test (GATE) for admission to masters in engineering programs in India, 2004
• Ranked in the top 1% in the entrance test (IIT-JEE) for admission to undergraduate programs in Indian Institute of Technologies, 2001
• Pratibha scholarship by the state of Andhra Pradesh, India for academic excellence (2002-2005)

Dr. Sebastian Uppapalli works in Thermo-Fluid sciences, focusing on both fundamental and applied engineering problems. He applies multiphysics simulations to study the flow behavior of Newtonian, non-Newtonian, and complex fluids in microfluidics, electrohydrodynamics, and biofluid dynamics. He has contributed to air quality studies and development of modular power systems in his previous positions.

• Ph.D. –University of Nevada, Las Vegas (2014)
• M.S. – UNR (2003)

• Effects of Gas Embolism on Pulsatile Flow Characteristics Within a Human Carotid Artery, Journal of Biomechanical Engineering, 2022, DOI: 10.1115/1.4054679.
• Systems Engineering V-Cycle Approach for Design and Development of Autonomous Underwater Vehicle, Oceans Conference Record (IEEE), 2021, DOI: 10.23919/OCEANS44145.2021.9705756.
• Low-Head In-Stream Hydroelectric Power System, Earth and Space 2018: Engineering for Extreme Environments – Proceedings of the 16th Biennial International Conference on Engineering, Science, Construction, and Operations in Challenging Environments, 2018, DOI: 10.1061/9780784481899.114.
• The Influence of Particle Size and Residual Charge on Electrostatic Interactions Between Charged Colloidal Particles at an Oil-Water Interface, Soft Matter, 2014, DOI: 10.1039/c4sm00527a.
• Polarization of a Diffuse Soft Particle Subjected to an Alternating Current Field, Langmuir, 2012, DOI: 10.1021/la301889e.
• Dust Emissions Created by Low-Level Rotary-Winged Aircraft Flight Over Desert Surfaces, Atmospheric Environment, 2010, DOI: 10.1016/j.atmosenv.2009.12.018.
• Effect of Soil Type and Momentum on Unpaved Road Particulate Matter Emissions from Wheeled and Tracked Vehicles, Aerosol Science and Technology, 2010, DOI: 10.1080/02786820903516844.
• In-Plume Emission Test Stand 2: Emission Factors for 10- to 100-kW U.S. Military Generators, Journal of the Air and Waste Management Association, 2009, DOI: 10.3155/1047-3289.59.12.1446.
• Particulate Emissions from U.S. Department of Defense Artillery Backblast Testing, Journal of the Air and Waste Management Association, 2007, DOI: 10.3155/1047-3289.57.5.551.
• Renewable Hydrogen Based Off-Grid Power System Control System, Proceedings of the Solar World Congress 2005: Bringing Water to the World, Including Proceedings of 34th ASES Annual Conference and Proceedings of 30th National Passive Solar Conference, 2005.

ORCID: https://orcid.org/0000-0003-0805-7290

• Associate Professor, Department of Mechanical and Aerospace Engineering, Mahindra University – August 2022 to Present
• Assistant Professor, Department of Mechanical and Aerospace Engineering,  Mahindra University – July 2017 to August 2022

• Sr. Mechanical Engineer, Ion Power Group, US – January 2016 – December 2021
• Research Associate, Energy Systems Lab (2009–2010)
• Application Engineer, STS LLC (2008–2009)
• Research Engineer, Desert Research Institute (2004–2008)

Dr. Sebastian Uppapalli has been involved in basic and applied research, in the broad areas of thermal-fluid sciences. His work covers a wide range of domains related to fluid dynamics, microfluidics, and thermal systems, from investigating electro-and-magneto-phoresis in microchannels to studying convective flows of supercritical fluids, as well as designing lab-on-chip systems and developing low GWP refrigeration systems. 

His areas of research interest are Microfluidics and Lab-on-Chip Systems; Bio-fluid Dynamics & Complex Fluids; Electrohydrodynamics & Electrokinetic Phenomena; Computational Fluid Dynamics (CFD) and Multiphysics Simulation