Dr. Sanatan Sukhija is currently working as an Assistant Professor in the Department of Computer Science and Engineering at Mahindra University, Hyderabad. His varied career includes stints at several industries and academic institutions, including, Amazon, Intel, Siemens, HCL, Punjab Engineering College, Chandigarh and the NorthCap University, Gurugram.

He has worked on a few fundamental Machine Learning and Deep Learning problems that focus on generalizability through transfer learning and domain adaptation, inspired by application domains such as Activity Recognition, Computer Vision, Cross-lingual Analysis, and Influence Maximization in Social Networks. His other research deals with learning robust deep models for industry/healthcare related problems. Specifically, his research focuses on learning in those domains where the amount of labeled training data is scarce. His research has led to multiple publications at several top-tier venues (AI Journal, AAAI, IJCAI, ECML-PKDD, IJCNN, WCCI etc.).

He is looking for Ph.D. students who would like to work on interesting and challenging inter-disciplinary problems in other fields, including but not limited to, ubiquitous computing, and pervasive computing.

  • Ph.D. Indian Institute of Technology Ropar, July 2014 – Jan 2020
    Thesis Title: Leveraging Label Space Similarities for Transfer Learning
    Thesis Advisor: Narayanan C Krishnan
  • M. Tech. Computer Engineering Malaviya National Institute of Technology Jaipur, July 2011 – May 2013
  • B. Tech. Computer Science and Engineering Maharaja Agrasen Institute Of Technology, GGSIPU, New Delhi Aug 2007 – May 2011

Journals
  • Sanatan Sukhija and Narayanan C Krishnan, “Supervised Heterogeneous Feature Transfer via Random Forests,” Artificial Intelligence Journal, Elsevier, Volume 268, March 2019, Pages 30-53.
Book Chapters
  • Sanatan Sukhija and Narayanan Chatapuram Krishnan, “Shallow Domain Adaptation”, Domain adaptation in computer vision with deep learning, (editors) Hemanth Venkateswara and Sethuraman Panchanathan, Springer, 2020.
International Conferences
  • Somyadeep Shrivastava, Dheeraj Chaudhary, Yayati Gupta, and Sanatan Sukhija. “Cost Effective Influence Maximisation.” In 2021 International Conference on COMmunication Systems & NETworkS (COMSNETS), pp. 90-93. IEEE, 2021.
  • Sanatan Sukhija, Srenivas Varadarajan, Narayanan C Krishnan and Sujit Rai “Multi-Partition Feature Alignment Network for Unsupervised Domain Adaptation,” IJCNN, 2020.
  • Sanatan Sukhija and Narayanan C Krishnan, “Web-Induced Heterogeneous Transfer Learning with Sample Selection,” in Proceedings of the Joint European Conference on Machine Learning and Knowledge Discovery in Databases, 2018, pp. 777-793.
  • Sanatan Sukhija, “Label Space Driven Heterogeneous Transfer Learning with Web Induced Alignment,” in Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018.
  • Sanatan Sukhija, “Label Space Driven Feature Space Remapping,” in Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2018, pp. 310-313. [Best Paper Presenter Award]
  • Sanatan Sukhija, Narayanan C Krishnan and Deepak Kumar, “Supervised Heterogeneous Transfer Learning via Random Forests,” in Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2018, pp. 157-166.
  • Monika Dahiya, Sanatan Sukhija, Deepak Kumar and Hukum Singh, “Image Encryption based on watermarking technique in Fourier domain using Pixel scrambling,” in Proceedings of the Fourth IEEE International Conference on Image Information Processing, 2017.
  • Sanatan Sukhija, Narayanan C Krishnan and Gurkanwal Singh, “Supervised Heterogeneous Domain Adaptation via Random Forests,” in Proceedings of the 25th International Joint Conference on Artificial Intelligence, 2016, pp. 2039-2045.
  • Monika Dahiya, Sanatan Sukhija and Hukum Singh, “Image encryption using quad phase masks in fractional Fourier domain and case study,” in Proceedings of IEEE international advance computing conference, 2014.
  • Sanatan Sukhija, Subhash Panwar and Neeta Nain, “CRAMM: character recognition aided by mathematical morphology,” in Proceedings of the IEEE Second International Conference on Image Information Processing, 2013.

  • Dr. Sanatan Sukhija is currently working as an Assistant Professor in the Department of Computer Science and Engineering at Mahindra University.
  • Punjab Engineering College, Chandigarh
    Assistant Professor, 14/10/19 to 17/07/20
  • The NorthCap University (formerly ITM), Gurugram, Haryana
    Assistant Professor, 1/7/13 to 21/6/14
  • Intel Technology India Private Limited, Bangalore
    Graduate Research Intern, 6/8/18 to 4/1/19
  • Amazon, Bangalore
    Applied Scientist Intern, 4/6/18 to 4/8/18
  • HCL, Noida
    SDE Intern, 1/7/10 to 3/8/10
  • NetTech, BITS Goa
    Trainee (Network Administration on Linux Servers), May 2010 to June 2010
  • Siemens, Gurgaon
    SDE Intern, 1/8/09 to 30/9/09

Areas of Interest: Machine Learning (Theoretical and Applied), Transfer Learning and Deep Learning.

About my Research:

Given plentiful labeled training data, deep learning really shines when it comes to complex problems such as image classification, natural language processing, and speech recognition. I have worked on specific machine learning problems, in particular, transfer learning and domain adaptation. This research area focuses on learning in those domains where the amount of labeled training data is scarce or absent. Preferably, for the next few years, I intend to extend my research to the deep transfer context where the ideas from shallow transfer algorithms can be leveraged to learn robust deep models for industry/healthcare related problems or applications inspired from multimedia and IoT. I am also open to working on interesting and challenging inter-disciplinary problems in other fields, including but not limited to, data mining, ubiquitous computing, and pervasive computing. Auto-ML, Adversarial Learning, Meta-Learning, Unsupervised Learning, Zero-Shot Learning, and Reinforcement Learning are some of the other areas that interest me. I am looking forward to working with students who are technically strong in Mathematics and Computer Science.

  • Professional Affiliation Member:ACM, AAAI and IEEE.
  • Professional Service Reviewer: IEEE TKDE, International Journal of Intelligent Systems (Wiley), IEEE ICCV, WACV, and ICIP.

Dr. Rajesh Kumar Tavva is an Assistant Professor in the Department of Computer Science and Engineering at Mahindra École Centrale College of Engineering. He earned his Doctorate degree in “Vaisesika Graph Grammar System: A Generative Ontology Approach”, which is at the crossroads of Computer Science, Philosophy and Logic, from the International Institute of Information Technology (IIIT), Hyderabad. He also earned his B.Tech in Computer Science and Engineering from IIIT-Hyderabad.

  • Ph.D. in Exact Humanities, International Institute of Information Technology (IIIT), Hyderabad, Telangana, India, 2020.
    Thesis Topic: Vaisesika Graph Grammar System: A Generative Ontology Approach
  • B.Tech (with Honours) in Computer Science and Engineering, International Institute of Information Technology (IIIT), Hyderabad, Telangana, India, 2009.
  • Senior Secondary, Gowtham Junior College, Gudavalli, Andhra Pradesh, India, 2005.
  • Secondary, Sri TelaproluBapanaiah English Medium High School, Vijayawada, Andhra Pradesh, India, 2003.

  • Tavva, R., and Singh, N. 2018. Vaisesika Graph Grammar (VGG) System. Paper presented at JOWO, 10th International Conference on Formal Ontology in Information Systems (FOIS), Cape Town, South Africa.
  • Tavva, R., and Singh, N. 2018. Computable graph grammar of Vaisesika ontology. Paper presented at JOWO, 10th International Conference on Formal Ontology in Information Systems (FOIS), Cape Town, South Africa.
  • Tavva, R., and Singh, N. 2015. Generative Ontology of Vaisesika. Paper presented at JOWO, 24th International Joint Conference on Artificial Intelligence (IJCAI), Buenos Aires, Argentina.
  • Tavva, R., and N. Singh. 2010. Generative Graph Grammar of Neo-Vaisesika Formal Ontology (NVFO) . Lecture Notes in Computer Science. no. 6465: 91-105. Berlin; New York: Springer Verlag.

  • Dr. Rajesh Kumar Tavva is an Assistant Professor in the Department of Computer Science and Engineering at Mahindra École Centrale College of Engineering
  • Lecturer at IIIT-Hyderabad
  • Research Assistant at CEH (Center for Exact Humanities), IIIT-Hyderabad
  • Research Assistant at DSAC (Data Science and Analytics Center), IIIT-Hyderabad
  • Teaching Assistant for various courses at IIIT-Hyderabad

Research experience:

Although his primary focus is Computational Semantics, his research interests are interdisciplinary in nature, given his training in both Sciences as well as Humanities. He is interested in working at the crossroads of varied disciplines like Computer Science, Digital Humanities, Logic, Ontology, Philosophy and Mathematics. He is knowledgeable in Scientific disciplines like Computer Science, Formal Logic and the Foundations of Mathematics, as well as Humanities disciplines like Indian and Western Philosophy, Ontology and Philosophical Logic. He is also keenly interested in applying traditional Indian knowledge systems to Computer Science and vice-versa.

Awards/Achievements:

  • Placed in the Dean’s List I for the semesters Monsoon 2008 and Spring 2008.
  • Placed in the Dean’s Merit List for the semesters Monsoon 2005 and Spring 2006.
  • Among the top 60 candidates, from all across India, selected for International Maths Olympiad Training Camp (IMOTC) which he attended in Homi Bhabha Science and Education Center, Mumbai, India from May 12th to June 14th, 2004.
  • Secured State 2nd in State Level Maths Talent Test conducted by the Association for Improvement of Maths Education (AIMEd) in 2003.
  • Secured State 2nd in State Level Maths Talent Test conducted by the Association for Improvement of Maths Education (AIMEd) in 2003.

Dr. Rakesh Badoni is an Associate Professor at Mahindra University. He completed his Ph.D. in theoretical computer science from the Indian Institute of Technology Kharagpur in 2016. Before this, he completed his M.Tech. degree in computer science and data processing from the same department and M.Sc. in applied mathematics from H.N.B. Garhwal University, Uttarakhand. Before joining Mahindra University, Dr. Badoni worked as an Assistant Professor at XIM University (formerly Xavier University Bhubaneswar), India, and B.M.L. Munjal University, Gurugram, India, in the Department of Computer Science and Engineering. He has also qualified CSIR National Eligibility Test (NET-JRF)−2009 with AIR 111 and Graduate Aptitude Test in Engineering (GATE)−2009 with AIR 57, both in Mathematical Sciences. He has received several awards and honors, such as Senior Research Fellowship, Junior Research Fellowship, and M.H.R.D. fellowship for M.Tech. course all in IIT Kharagpur, India. Dr. Badoni’s research interests include Combinatorial Optimization, Optimization, Heuristics and Metaheuristics, Operations Research – Scheduling and Timetabling in Industry and Education.

  • Ph.D. from Indian Institute of Technology Kharagpur, Kharagpur (W.B.), India
    Thesis Title: New hybrid metaheuristic approaches for university course timetabling problems
    Master of Technology (Computer Science and Data Processing) from Indian Institute of Technology Kharagpur, Kharagpur (W.B.), India
  • M.Tech. Project Title: Constraint satisfaction problems and their extensions to distributed computing
  • Master of Science (Mathematics) from Hemwati Nandan Bahuguna Garhwal University, Srinagar Garhwal (Uttarakhand), India
  • Bachelor of Science (Physics, Chemistry, and Mathematics) from Hemwati Nandan Bahuguna Garhwal University, Srinagar Garhwal (Uttarakhand), India

  • Rakesh P. Badoni, Sanjeev Kumar, Mukesh Mann, R.P. Mohanty, and Ashirbad Sarangi, “Ant colony optimization algorithm for the university course timetabling problem using events based on groupings of students,” In Modeling and Applications in Operations Research, CRC Press, 2024; Chapter 01; pp. 1–36. DOI: https://doi.org/10.1201/9781003462422
  • Rakesh P. Badoni, Jayakrushna Sahoo, Shwetabh Srivastava, Mukesh Mann, D.K. Gupta, Swati Verma, Predrag S. Stanimirović, Lev A. Kazakovtsev, Darjan Karabašević, “An exploration and exploitation-based metaheuristic approach for university course timetabling problems,” Axioms (MDPI), 12(8), 720, (2023). https://doi.org/10.3390/axioms12080720
  • Mukesh Mann, Rakesh P. Badoni, Harsh Soni, Mohammed Al-Shehri, Aman Chandra Kaushik, and Dong-Qing Wei, “Utilization of Deep Convolutional Neural Networks for Accurate Chest X-Ray Diagnosis and Disease Detection,” Interdisciplinary Sciences: Computational Life Sciences (Springer Nature), 15, 374–392 (2023). https://doi.org/10.1007/s12539-023-00562-2
  • Sanjeev Kumar, Ashirbad Sarangi, Rakesh P. Badoni, and R.P. Mohanty, “Development and Validation of a Hybridized Algorithm involving AHP and Machine Learning for Automobile Vehicle Selection,” Accepted for publication in the International Journal of Operational Research (Inderscience), 2023. DOI: 10.1504/IJOR.2022.10050616
  • Sonia Yadava, Sukhjit Singha, MA Hernández-Verón, Eulalia Martínez, Ajay Kumar, and Rakesh P. Badoni, “About the existence and uniqueness of solutions for some second-order nonlinear BVPs,” Applied Mathematics and Computation (Elsevier), 457, 128218 (2023). https://doi.org/10.1016/j.amc.2023.128218
  • Verma, A. Mukherjee, C. Mahanta, R. Choudhury, Rakesh P. Badoni, and G. Joshi, “Arsenic fate in the Brahmaputra river basin aquifers: Controls of geogenic processes, provenance and water-rock interactions”, Applied Geochemistry, 107, 2019, 171-186.
  • Sukhjit Singh, D.K. Gupta, Rakesh P. Badoni, E. Martinez, and Jose L. Hueso, “Local convergence of a parameter based iteration with Holder continuous derivative in Banach spaces”, Calcolo, 54(2), 2017, 527-539.
  • S. Vorugunti, B. Mishra, Rahul Amin, Rakesh P. Badoni, Mrudula Sarvabhatla, and Dheerendra Mishra, “Improving security of lightweight authentication technique for heterogeneous wireless sensor networks”, Wireless Personal Communications, 95(3), 2017, 3141-3166.
  • Kumar, Rakesh P. Badoni, and P.J. Mohan, “Application of MADM methods for selecting the best private institution for professional courses in Uttarakhand state, India”, Annals of Computer Science and Information Systems, 10, 2017, 229-233.
  • Rakesh P. Badoni and D.K. Gupta, “A hybrid algorithm for university course timetabling problem”, Innovative Systems Design and Engineering, 6(2), 2015, 60-
  • Rakesh P. Badoni and D.K. Gupta, “A new algorithm based on students groupings for university course timetabling problem”, In Proceeding of 2nd International Conference on Recent Advances in Engineering & Computational Sciences (RAECS-2015), 2015, IEEE.
  • Rakesh P. Badoni and D.K. Gupta, “A graph edge colouring approach for school timetabling problems”, International Journal of Mathematics in Operational Research, 6(1), 2014, 123-
  • Rakesh P. Badoni, D.K. Gupta, and Anil K. Lenka, “A new approach for university timetabling problems”, International Journal of Mathematics in Operational Research, 6(2), 2014, 236-257.
  • Rakesh P. Badoni, D.K. Gupta, and Pallavi Mishra, “A new hybrid algorithm for university course timetabling problem using events based on groupings of students”, Computers & Industrial Engineering, 78, 2014, 12-25.
  • Pallavi Mishra, D.K. Gupta, and Rakesh P. Badoni, “A new algorithm for enumerating all possible Sudoku squares”, Discrete Mathematics, Algorithms and Applications, 8(2), 2016, 1650026 (14 PAGES).

    • Associate Professor, Department of Mathematics, Mahindra University, Hyderabad, Telangana, India (Aug 2025 to present)
    • Assistant Professor, Department of Mathematics, Mahindra University, Hyderabad, Telangana, India (July 2021 to Aug 2025)
    • Assistant Professor, Department of Computer Science and Engineering, XIM University, Bhubaneswar, Odisha, India (From May 2018 to July 2021)
    • Assistant Professor, Department of Computer Science and Engineering, BML Munjal University, Haryana, India (From January 2017 to March 2018)

    Combinatorial Optimization, Optimization, Heuristics and Metaheuristics, Operations Research – Scheduling and Timetabling in Industry and Education.

    Dr. Sulakshya Gaur is currently working as an Assistant Professor in the Department of Civil Engineering, Mahindra University, Hyderabad. He has completed his PhD in Civil Engineering (with the specialization in Construction Management) from VNIT Nagpur in February 2024. Prior to joining Mahindra University, he worked as an Assistant Professor in the Civil Engineering Department of G H Raisoni College of Engineering, Nagpur.

    During his PhD tenure, Dr. Gaur has published his research works in several reputed journals. He has also presented his research in various National and International conferences. His paper was also the recipient of the Award for the Best Paper during the 10th World Construction Symposium (WCS-2022) held at Sri Lanka.

    His research interests align with the management of construction projects, especially mega construction projects, Stakeholder management on mega construction projects, Applications of BIM in the project management, and LEAN construction.

    • Doctor of Philosophy (Ph.D.), Civil Engineering, Visvesvaraya National Institute of Technology – Nagpur, Maharashtra, India. (2019-2024) Thesis Title – Performance Index Model to Evaluate Stakeholder Management on Mega Construction Projects Using BIM.
    • Master of Technology (M.Tech), Construction Technology and Management, National Institute of Technical Teachers Training and Research – Bhopal, Madhya Pradesh, India. (2016-2018) Thesis Title – Implementing Six Sigma Principles to Improve the Quality of Internal Finishing Works in Residential Buildings
    • Bachelor of Technology (B.Tech), Jaypee University of Information Technology – Solan, Himachal Pradesh, India (2012-2016) Project Title – Design of Multilevel Car Parking Facility at Jaypee University of Information Technology

    Journal Publications
    • Gaur, S., and Tawalare, A. (2024). “Assessing the Implications of BIM on Sustainability of Construction Projects through Design Risk Management.” Built Environment Project and Asset Management, article-in-press(article-in-press).
    • Gaur, S., & Tawalare, A. (2024). Stakeholder Management and its Role on Value Creation in Construction Projects: A Cross-case Analysis. Asian Journal of Civil Engineering, 1-14.
    • Kapoor, N. R., Kumar, A., Kumar, A., Arora, H. C., Kumar, A., & Gaur, S. (2024). Energy-Efficient Strategies for Mitigating Airborne Pathogens in Buildings—Building Stage-Based Sustainable Strategies. Sustainability, 16(2), 516.
    • Gaur, S., & Tawalare, A. (2023). Development of a Performance Index Model for Evaluation of BIM-Based Stakeholder Management Using Fuzzy Synthetic Evaluation. Buildings, 13(6), 1441. MDPI AG.
    • Gaur, S., Dosapati, S., & Tawalare, A. (2023). Stakeholder Assessment in Construction Projects Using a CRITIC-TOPSIS Approach. Built Environment Project and Asset Management, 13(2), 217-237.
    • Gaur, S., & Tawalare, A. (2022). Investigating the Role of BIM in Stakeholder Management: Evidence from a Metro-Rail Project. Journal of Management in Engineering, 38(1), 05021013.
    Conference
    • Gaur, S., & Tawalare, A. (2023, September). Key challenges and initiatives undertaken to facilitate BIM adoption in the project: A case of two metro-rail projects. In AIP Conference Proceedings (Vol. 2763, No. 1). AIP Publishing.
    • Gaur, S. and Tawalare, A. (2022). Establishing the role of BIM towards mitigating critical project risks assessed using a fuzzy inference system. In: Sandanayake, Y.G., Gunatilake, S. and Waidyasekara, K.G.A.S. (eds). Proceedings of the 10th World Construction Symposium, 24-26 June 2022, Sri Lanka.
    • Sreekar, A. S., Gaur, S., & Tawalare, A. (2022). Assessing the Effect of Audit Compliance, Conflict Management and Bureaucratic Attitude on the Success of Public Projects. In Recent Advancements in Civil Engineering (pp. 65-73). Springer, Singapore.
    • Umberje, A., Gaur, S., & Tawalare, A. (2022). Assessing the Critical Success Factors for PWD Projects in Rural Area. In Recent Advancements in Civil Engineering (pp. 153-164). Springer, Singapore.
    • Gaur, S., & Tawalare, A. (2021, May). Challenges and Benefits of BIM Adoption in a Metrorail Project. In International Conference on Structural Engineering and Construction Management (pp. 667-675). Springer, Cham.

    • Dr. Sulakshya Gaur is currently working as an Assistant Professor in the Department of Civil Engineering, Mahindra University.
    • Assistant Professor, G H Raisoni College of Engineering, Nagpur, Maharashtra (August 2023 – June 2024)
    • Assistant Professor, Sagar Institute of Research Technology-Excellence (August 2018 – June 2019)

    Research Interests :

    • Stakeholder Management in Construction Projects
    • Contract Management and administration
    • LEAN Construction
    • Applications of BIM in Project Management
    • Mega Construction Projects

    Dr. Sandeepan Roy holds a Ph.D. in Civil Engineering (with specialization in Transportation Systems Engineering) from IIT Bombay, awarded in 2021. Prior to that he completed his M.Tech. from IIT Kharagpur in 2015 and obtained his B.Tech. from IIT (BHU) Varanasi in 2013. Following the completion of his Ph.D., he worked as a senior project engineer in an industry-sponsored project, and subsequently served as a post-doctoral fellow at the esteemed Department of Civil Engineering, IIT Bombay.

    Dr. Roy possesses a diverse skill set in various areas of transportation systems, including modeling, optimization, computing, geospatial data and network analysis, and programming in Python and MATLAB. His significant contributions to the field are reflected in eighteen published technical papers across peer-reviewed journals, books, and conference proceedings. His research interests encompass a wide range of topics such as transportation systems modeling, GIS applications and optimization in transportation infrastructure modeling and development, high-speed rail infrastructure planning, metaheuristics in alignment development and facility location, computer-aided geometric design, and feasibility analysis of transportation projects.

    Dr. Roy has presented his work across several international and national conferences such as the Transportation Research Board (TRB) Annual Meeting (TRB-2018, 2019 & 2020), World Conference on Transport Research (WCTR-2019), ADBI Conference on Spillover Effects of High-Speed Rail and Quality of Life (2018), ADBI-Chubu University Virtual Conference on Transport Infrastructure Development, Spillover Effects, and Quality of Life (2020), Conference of Transportation Research Group of India (CTRG-2015 & 2017), International Conference on Transportation Planning and Implementation Methodologies for Developing Countries (TPMDC-2022) and International Conference on Transportation Systems Engineering and Management (CTSEM-2021). Additionally, Dr. Roy was actively involved in the organization of several internationally reputed conferences, such as the 15th World Conference on Transportation Research (WCTR-2019), 4th Conference of Transportation Research Group of India (CTRG-2017), and 12th International Conference on Transportation Planning and Implementation Methodologies for Developing Countries (TPMDC-2016).

    Beyond academia, Dr. Roy leads an active lifestyle, engaging in a diverse range of interests that reflect his commitment to personal growth and holistic development. An advocate of both physical and creative expression, Dr. Roy has a dedicated fitness routine with a keen participation in performing arts, particularly dance. He enjoys listening to podcasts from influential figures like Joe Rogan, Andrew Huberman, and Jordan Peterson, and music (some of his favorite musicians include Arijit Singh, Lucky Ali, Shaan, Michael Jackson, Eminem, Pink Floyd, AP Dhillon, King, and Divine). Dr. Roy enjoys works of artists such as Christopher Nolan, Martin Scorsese, Quintin Tarantino, Nana Patekar, Cilian Murphy, Leonardo DiCaprio, and the late Irrfan Khan. A dedicated sports enthusiast, he enjoys mixed martial arts, tennis, Formula 1, and football, with his favorite sportspersons being Sachin Tendulkar, Roger Federer, and Lionel Messi.

    Dr. Roy actively supports co-curricular activities and believes that having such interests helps in the overall development of a person by providing a creative outlet and helping in maintaining a healthy lifestyle. This in turn translates into a productive and a successful professional with qualities such as dedication, leadership, team building, resourcefulness, and taking initiative. This thought process is grounded in his own extensive participation in co-curricular activities throughout his academic journey, where he consistently brought honor to his institutes. Some of the notable achievements would be as follows:

    • Represented IIT Bombay and secured 1st position in street dance battle event for two consecutive years at the 3rd and 4thInter IIT CulturalMeet held at IIT Roorkee (December 2018) and IIT Bombay (December 2019), respectively.
    • Represented IIT Bombay and secured 1st position in group dance event for two consecutive years at the 1st and 2ndInter IIT CulturalMeet held at IIT Bombay (December 2016) and IIT Kanpur (December 2017), respectively.
    • Represented IIT Bombay and secured 2nd position in group dance event at the 3rd and 5thInter IIT CulturalMeet held at IIT Roorkee (December 2018) and IIT Madras (January 2023)
    • Represented IIT Bombay and secured 2nd position in street dance battle event at the 2ndInter IIT CulturalMeet held at IIT Kanpur (December 2017)
    • Contingent member of the overall championship team (IIT Bombay) at the 1st and 3rdInter IIT CulturalMeet held at IIT Bombay (December 2016) and IIT Roorkee (December 2018), respectively
    • Contingent member of the overall runners-up team (IIT Bombay) at the 2nd, 4th and 5thInter IIT CulturalMeet held at IIT Kanpur (December 2017), IIT Bombay (December 2019), IIT Madras (January 2023), respectively
    • Represented IIT Bombay twice at the Kalaghoda Arts Festival, Mumbai (February 2017, 2018)
    • Represented IIT Kharagpur at Spring Fest 2015 (Annual Cultural Fest of IIT Kharagpur) and secured 1st position in street dance battle event and 2nd position in group dance event.
    • Represented IIT Kharagpur at Alcheringa 2014 (Annual Cultural Fest of IIT Guwahati) and secured 1st position in group dance event.

    • Ph.D. in Civil Engineering (2021), with specialization in Transportation Systems Engineering, from Indian Institute of Technology Bombay (IIT Bombay). Ph.D. Thesis Title: Optimization of Multi-Objective Station Locations and Alignment Problem for High Speed Rail
    • M.Tech. in Civil Engineering (2015), with specialization in Transportation Engineering, from Indian Institute of Technology Kharagpur (IIT Kharagpur). M.Tech. Thesis Title: Investigating the effect of geometric design consistency on safety of highway section: A case study on Panagarh-Dankuni section of National Highway 2, India.
    • B.Tech. in Civil Engineering (2013), from Indian Institute of Technology (Banaras Hindu University) Varanasi (IIT (BHU) Varanasi).

    Publications
    • Roy, S. and Maji, A., 2024. Metaheuristics-based multistage iterative optimization framework for decomposed high-speed rail systems planning problem. Applied Soft Computing, 166, p.112357. https://doi.org/10.1016/j.asoc.2024.112357 (ISSN 1568-4946, Impact Factor: 7.2)
    • Rashmitha, Y., Sushma, M.B. and Roy, S., 2024. A novel multi-criteria framework for selecting optimal sites for electric vehicle charging stations from a sustainable perspective: evidence from India. Environment, Development and Sustainability, pp.1-27. https://doi.org/10.1007/s10668-024-05746-4(ISSN 1573-2975, Impact Factor: 4.7)
    • Sushma, M.B., Roy, S., and Maji, A., 2023. Development of intelligent decision system for optimized highway corridor planning: An integrated GIS and heuristic approach. Advances in Transportation Studies, Vol. 60 (7), pp. 171-188, (ISSN: 18245463; Impact Factor: 0.67).
    • Roy, S. and Maji, A., 2022. Sampling-Based Modified Ant Colony Optimization Algorithm for HSR Alignment Optimization. Computer-Aided Civil and Infrastructure Engineering, Vol. 37 (11), pp. 1417-1433, (ISSN: 10939687, 14678667; Impact Factor: 11.78), https://doi.org/10.1111/mice.12809
    • Roy, S. and Maji, A., 2022. High-Speed Rail Station Location Optimization Using Customized Utility Functions. IEEE Intelligent Transportation Systems Magazine, Vol. 15 (3), pp. 26-35, (ISSN: 19391390, 19411197; Impact Factor: 5.29), https://doi.org/10.1109/MITS.2022.3207411
    • Sushma, M.B., Roy, S. and Maji, A., 2022. Exploring And Exploiting Ant Colony Optimization (E&E-ACO) Algorithm for Vertical Highway Alignment Development. Computer-Aided Civil and Infrastructure Engineering, Vol. 37 (12), pp. 1582-1601, (ISSN: 10939687, 14678667; Impact Factor: 11.78), https://doi.org/10.1111/mice.12814
    Book Chapters and Peer-reviewed Conference Proceedings
    • Sushma, M. B., Roy, S., and Maji, A., 2023. Optimizing Points of Intersection for Highway and Railway Alignment-Using Path Planner Method and Ant Algorithm-Based Approach. In Recent Advances in Transportation Systems Engineering and Management. Lecture Notes in Civil Engineering, (Vol 261). Springer, Singapore, ISBN: 978-981-19-2272-5. https://doi.org/10.1007/978-981-19-2273-2_9
    • Roy, S., Maji, A., and Sahu, P., 2021. Socioeconomic, Environmental, and Accessibility Assessment of High-Speed Rail Station Location Using a Geographic Information System Network Analyst. Chapter 16 in Rothengatter, W., Hayashi, Y., and Seetha Ram, K.E. (eds.) Frontiers in High-Speed Rail Development. ADBI, Japan, ISBN: 978-4-89974-238-8, pp. 415-433.
    • Roy, S. and Maji, A., 2021. Artificial Intelligence-based Spatial Exploration for Computer-Aided High-speed Railway Alignment Development. Chapter 21 in Rothengatter, W., Hayashi, Y., and Seetha Ram, K.E. (eds.) Frontiers in High-Speed Rail Development. ADBI, Japan, ISBN: 978-4-89974-238-8, pp. 526-544.
    • Roy, S. and Maji, A., 2020. Optimizing Station Location Based on Accessibility and Environmental Impacts. Chapter 10 in Hayashi, Y., Seetha Ram, K.E. and Bharule, S. (eds.) Handbook on high-speed rail and quality of life. ADBI, Japan, ISBN: 978-4-89974-201-2 pp. 185-203. https://doi.org/10.2139/ssrn.3512284
    • Roy, S. and Maji, A., 2020. A Station Location Identification Model for an Integrated Interoperable High-Speed Rail System. Chapter 12 in Hayashi, Y., Seetha Ram, K.E. and Bharule, S. (eds.) Handbook on high-speed rail and quality of life. ADBI, Japan, ISBN: 978-4-89974-201-2, pp. 220-237. https://doi.org/10.2139/ssrn.3512289
    • Sushma, M.B., Roy, S., Prasad, M. B. R., and Maji, A., 2020. Optimum Point of Intersection Selection in Horizontal Highway Alignment Design: A Comparative Study using Path Planner Method and Ant Algorithm. In Transportation Research. Lecture Notes in Civil Engineering (Vol. 45). Springer, Singapore, ISBN: 978-981-32-9041-9. https://doi.org/10.1007/978-981-32-9042-6_15
    Peer-reviewed Conference Presentations
    • Sushma, M.B., Yenugula, R., and Roy, S., 2022. A Framework on Understanding the Barriers of Smart cities and Intelligent Transportation System in India. 14th International Conference on Transportation Planning and Implementation Methodologies for Developing Countries (TPMDC), 19-21 December 2022, Mumbai, India.
    • Sushma, M.B., Roy, S., and Maji, A., 2020. Exploration and Exploitation Based Ant Algorithm for Optimized Vertical Highway Alignment. Transportation Research Board (TRB) 99th Annual Meeting, 12-16 January 2020, Washington, D.C., USA.
    • Roy, S., Sushma, M.B., and Maji, A., 2019. Application of Ant Colony Algorithm for optimization of Railway Alignment. Transportation Research Board (TRB) 98th Annual Meeting, 13-17 January 2019, Washington, D.C., USA.
    • Sushma, M.B., Roy, S., and Maji, A., 2019. Optimum Point of Intersection Selection in Horizontal Alignment Design for Highways and Railways: Comparative Study Using Path Planner and Ant-Algorithm. 15th World Conference on Transport Research (WCTR), 26-31 May 2019, Mumbai, India.
    • Sushma, M.B., Roy, S., and Maji, A., 2018. Selection of Highway Corridors Using Voronoi Based Region Approximation and Artificial Intelligence Heuristics. Transportation Research Board (TRB) 97th Annual Meeting, 7-11 January 2018, Washington, D.C., USA.
    • Roy, S., and Mitra, S., 2015. Investigating the effect of geometric design consistency on safety of highway section: A case study on Panagarh-Dankuni section of National Highway 2, India. 3rd Conference of Transportation Research Group of India, 17-20 December 2015, Kolkata, India.
    Collaborative Research Work
    • Roy, S. and Maji, A., 2020. Congestion Impact based Rail Transit Station Location Optimization. Concept, Theory and Practices of Road Pricing Schemes: Lessons Learned and Way Forward, 6-7 March 2020, BITS Pilani, Hyderabad.
    • Gupta, S., Shah, S., Chaturvedi, S., Thakkar, P., Solanki, P., Dibyachintan, S., Roy, S., Sushma, M.B., Godbole, A., Jaseem, N. and Kumar, P., 2020. An India-Specific Compartmental Model for Covid-19: Projections and Intervention Strategies by incorporating Geographical, Infrastructural and Response Heterogeneity. arXiv preprint arXiv:2007.14392.

    • Dr. Sandeepan Roy is currently working as an Assistant Professor at Mahindra University.
    • Post-Doctoral Fellow, Department of Civil Engineering, IIT Bombay (May 2022-April 2023): Proposed topic (An optimization-based method to evaluate, select, and schedule interdependent and independent phases of transportation project)
    • Senior Project Engineer, Department of Civil Engineering, IIT Bombay (December 2021-March 2022): Industry sponsored project (Identification of sites for safety audit of roads in Kalyan Dombivli Municipal Corporation Area)
    • Research Associate, Department of Civil Engineering, IIT Bombay (August-November 2021)

    Dr. Roy’s research interests span key aspects of transportation systems, optimization, and innovation. He focuses on modeling transportation systems, for better efficiency and cost effectiveness. Leveraging optimization techniques, he is into developing strategies that streamline transportation networks, optimizing routes and resource utilization. Dr. Roy seamlessly integrates spatial data with transportation planning, fostering smarter decision-making using Geographic Information Systems (GIS). Another area of interest is high-speed railways infrastructure development. Dr. Roy is interested in developing novel approaches to alignment development and facility location employing metaheuristics. These methodologies exceed traditional constraints, unlocking novel solutions in alignment design and facility placement. Dr. Roy is also exploring various aspects of urban mobility including multi-modal integration of various modes towards developing holistic transportation ecosystems. Apart from these topics he is also interested in the area of computer-aided geometric design of transportation facilities exploring new applications and innovations.

    Projects grants received:

    • Project Proposal Title: Analyzing the Effect of High-Speed Rail on Quality of Life, Business Networks, and Regional Economy along the Delhi – Ahmedabad and Delhi – Varanasi Corridors Grant name: Inclusivity Research Grant Funding Agency: Anusandhan National Research Foundation (ANRF) Fund Amount: INR 56,70,236

    Dr. Biswarup Biswas currently works as an Assistant Professor at the Department of Mathematics at Mahindra University. Before joining MU, he was a Post Doctoral Fellow at IIT Delhi, where he worked with Dr Harish Kumar. He earned his PhD from SRM Institute of Science and Technology, where his thesis title was Non Linearly Stable High Order Accurate Efficient Schemes for System of Hyperbolic Conservation Laws. He completed his MSc from IIT Madras.

    He works in the area of computational methods for Balance Laws. Most of his PhD works are in the area of higher-order provably stable methods for hyperbolic conservation laws. Currently, he is working on stable schemes for various astrophysical problems.

    Some of his current interests are Entropy Stable schemes, DG schemes, Stability of numerical schemes for Hyperbolic Conservation Laws, Deep learning, Numerical schemes for Hamilton Jacobi equations.

    • Ph.D. in Mathematics from SRM Institute of Science and Technology, Kattankulathur, India September 2018.
      Thesis title: Non Linearly Stable High Order Accurate Efficient Schemes for System of Hyperbolic Conservation Laws.
      Supervisor: Dr. Ritesh Kumar Dubey
    • M.Sc. in Mathematics from IIT Madras, Chennai, India 2013.
    • B.Sc. in Mathematics from University of Kalyani, West Bengal, India 2010.

    • Biswas, B., Kumar, H., & Bhoriya, D. (2022). Entropy stable discontinuous Galerkin schemes for the special relativistic hydrodynamics equations. Computers and Mathematics with Applications. https://doi.org/10.1016/j.camwa.2022.02.019
    • Biswas, B., Kumar, H., & Yadav, A. (2021). Entropy stable discontinuous Galerkin methods for ten-moment Gaussian closure equations. Journal of Computational Physics. https://doi.org/10.1016/j.jcp.2021.110148
    • Biswas, B., & Dubey, R. K. (2020). ENO and WENO Schemes using Arc-length based Smoothness Measurement. Computers and Mathematics with Applications, 80(12). https://doi.org/10.1016/j.camwa.2020.10.005
    • Samala, R., & Biswas, B. (2020). Arc Length-Based WENO Scheme for Hamilton–Jacobi Equations. Communications on Applied Mathematics and Computation. https://doi.org/10.1007/s42967-020-00091-5
    • Dubey, R. K., & Biswas, B. (2018). Suitable diffusion for constructing non-oscillatory entropy stable schemes. Journal of Computational Physics, 372. https://doi.org/10.1016/j.jcp.2018.04.037
    • Biswas, B., & Dubey, R. K. (2018). Low dissipative entropy stable schemes using third order WENO and TVD reconstructions. Advances in Computational Mathematics, 44(4). https://doi.org/10.1007/s10444-017-9576-2
    • Dubey, R. K., & Biswas, B. (2017). An Analysis on Induced Numerical Oscillations by Lax-Friedrichs Scheme. Differential Equations and Dynamical Systems, 25(2). https://doi.org/10.1007/s12591-016-0311-0
    • Dubey, R. K., Biswas, B., & Gupta, V. (2016). Local maximum principle satisfying high-order non-oscillatory schemes. International Journal for Numerical Methods in Fluids, 81(11). https://doi.org/10.1002/fld.4202

    • Dr. Biswarup Biswas currently works as an Assistant Professor at the Department of Mathematics at Mahindra University.

    Teaching Experience

    • Workshop (R Programming and GPU computing), Instructor, Mahindra University
    • Scientific Computing – I, Instructor, Mahindra University
    • Computing Laboratory, Shared Instructor IIT Delhi
    • Computational Methods for Differential Equations, Teaching Assistant (TA), IIT Delhi
    • Calculus, Teaching Assistant (TA), IIT Delhi

    Research Experience

    • Post Doctoral Fellow, March 2019 to June 2021
    • Mentor: Dr. Harish Kumar, IIT Delhi

    • Numerical Analysis
    • Computational methods for partial differential equations
    • Hyperbolic conservation laws

    Dr. Meraj Alam currently works as an Assistant Professor at the department of mathematics at Mahindra University. He completed his Ph.D. thesis on an interesting topic “Existence and Uniqueness Results for Biphasic Mixture Models to Tumors”, Department of Mathematics, Indian Institute of Technology Kharagpur (2020). His Ph.D. thesis is focused on mathematical modeling and analysis of biphasic mixture models (nonlinear partial differential equations) that describe the coupled phenomena of fluid flow and solid phase deformation inside soft bio-materials such as tumors. He mainly works on developing the well-posedness (existence, uniqueness, and continuous dependence on data) in a weak sense to the nonlinear partial differential equations of the type parabolic, hyperbolic and elliptic systems using some well-known mathematical techniques. Namely, the semi-discrete Galerkin method, fixed-point theorems, monotone operator approach, Lax-Milgram lemma, and Babuska-Brezzi condition etc.

    • Ph.D. (Mathematics) from Department of Mathematics, Indian Institute of Technology (IIT) Kharagpur, WB-721302, India (2014-2020). The title of thesis is “Existence and Uniqueness Results for Biphasic Mixture Models to Tumors”.
    • M.Sc. in Mathematics, Indian Institute of Technology Kharagpur, India (2012-2014).
    • B.Sc. (Hons.) in Mathematics, Aligarh Muslim University, Aligarh (2008 – 2011).

    Articles Published in Peer-Reviewed Journals
    • Meraj Alam, A. Muntean, G. P. Raja Sekhar, Nonlinear Biphasic Mixture Model: Existence and Uniqueness Results, (Accepted in European Journal of Applied Mathematics, Cambridge University Press, https://arxiv.org/abs/2202.06059 ), 2024.
    • Timir Karmakar, Meraj Alam, Motahar Reza, G. P. Raja Sekhar, Couette-Poiseuille flow in a fluid overlying an anisotropic porous layer, Computers and Mathematics with Applications, 151 (2023) 346–358 (SCI, I.F.: 2.9) ) (ISSN: 1873-7668).DOI: https://doi.org/10.1016/j.camwa.2023.10.006.
    • Timir Karmakar, Meraj Alam, G. P. Raja Sekhar, Analysis of Brinkman-Forchheimer extended Darcy’s model in a fluid saturated anisotropic porous channel (Communications on Pure & Applied Analysis (2022); (SCIE, I.F.: 1.916) (ISSN 1534-0392) DOI: http://dx.doi.org/10.3934/cpaa.2022001.
    • Meraj Alam, M. Byrne, G. P. Raja Sekhar, Existence and uniqueness results on biphasic mixture model for an in-vivo tumor, Applicable Analysis, (2021), (SCIE, I.F.: 1.429) (ISSN: 1563-504X). DOI: https://doi.org/10.1080/00036811.2021.1895122
    • G. P. Raja Sekhar, Meraj Alam, Fixed Point Theorems and Applications to Fluid Flow Problems, The Special Issue of The Proceedings of Telangana Academy of Sciences Vol: 01 (01), 2020, 134-146
    • Meraj Alam, Dey, G. P. Raja Sekhar, Mathematical modeling and analysis of hydroelastodynamics inside a solid tumor containing deformable tissue. Z Angew Math Mech. Vol: 99 (5) (2019); e201800223, (SCIE, I.F.: 1.603) (ISSN: 1521-4001). DOI: https://doi.org/10.1002/zamm.201800223
    • Meraj Alam, B. Dey, G. P. Raja Sekhar, Mathematical analysis of hydrodynamics and tissue deformation inside an isolated solid tumor, Theoretical and Applied Mechanics Vol: 45 (2) (2018); 253-278, (Scopus, ESCI, ISSN: 1450-5584). DOI: https://doi.org/10.2298/TAM180810014A

    • Dr. Meraj Alam currently works as an Assistant Professor at the department of mathematics at Mahindra University.
    • Worked as a Project Assistant in the Department of Mathematics, Indian Institute of Technology Kharagpur, India from 25thNov 2020 to 13th June 2021.
    • Tutor (teaching assistant) for first year bachelor and master students at Indian Institute of Technology Kharagpur for the following courses.
      • Mathematics-I: Differential Calculus, Ordinary Differential Equations, Basic Real and Complex Analysis; during autumn semester 2015, 2016 and 2017.
      • Mathematics-II: Linear Algebra, Numerical Methods, Integral Calculus, Vector Calculus; during spring semester 2016, 2017 and 2018.
      • Modern Theory of Partial Differential Equations(PG level)

    • Analysis (well-posedness in weak sense) of nonlinear partial differential equations of the types: elliptic, parabolic, and second order hyperbolic.
    • Mathematical modeling of multi-phase flow through deformable porous medium
    • Applied functional analysis (Applications of fixed point and monotone operator theory)

    Sherlin Suresh is an Assistant Professor of French at the School of Humanities, Mahindra University. She has experience in the field of Language Teaching and her research domain is in the area of Teaching French as a Foreign Language (FLE).

    She completed her Masters in French from English and Foreign Languages University, Hyderabad in 2014. She pursued her Phd in French from the same University. The topic of her research was « Evaluation Dynamique : vers une pratique renouvelée de la production écrite des apprenants de FLE en Inde ». In her thesis she worked on investigating the possibilities of using dynamic assessment to improve writing skills of learners of French in the Indian context. She has presented papers and attended workshops on areas related to her research.

    • Ph.D. in French at the English and Foreign Languages University, Hyderabad in 2020.
    • Qualified the UGC-NET for eligibility for Assistant Professor held on 8th July 2018.
    • M.A in French at the English and Foreign Languages University, Hyderabad in 2014.
    • B.A. (Hons.) in French at the English and Foreign Languages University, Hyderabad in 2012.

    • Article titled “Capter les capacités individuelles d’expression écrite chez les apprenants de FLE: vers une évaluation dynamique” has been published with the journal Caraivéti, Démarche de Sagesse, Vol IV Issue 2, January-June 2021, ISSN 2456-9690, Banaras Hindu University, Varanasi, pg- 66-74.
    • Article titled “Le Rôle De La Rétroaction Corrective Dans Le Développement De La Compétence Linguistique Des Apprenants De FLE” has been published with
      The journal “Journal of Advances and Scholarly Researches in Allied Education”.”Volume: 16″.”Issue: 7″, “Month: May, 2019”
    • Article titled“L’évaluation dynamique comme un outil pour le développement des compétences en FLE” has been published with the journal Réflexions, Numéro 5, 2018, ISSN 2322-0677, EFL University Press, Hyderabad, pg 170-185.

    • Dr. Sherlin Suresh is an Assistant Professor of French at the School of Humanities, Mahindra University.
    • Part-time French teacher at Sardar Vallabhbhai Patel National Police Academy, Hyderabad from March 2021.
    • Contractual Faculty at Gitam University, Hyderabad from January 2020 to May 2020.
    • Guest Faculty at Mahindra Ecole Centrale, Hyderabad from August 2017 to April 2018.
    • Part-time French teacher at the Indian Institute of Hotel Management, Habsiguda, Hyderabad from January to July 2017.

    Her areas of interest include evaluation and assessment, teaching methodology, developing writing competence in the foreign language context.

    Her primary area of research is multiscale modelling and simulations of physicochemical processes in biology and chemistry deploying composite computational chemistry and machine learning methods.

    Home: portfolio

    • Ph.D. in Natural Sciences, Institute for Theoretical Chemistry, University of Stuttgart, Germany (2006-2009)
    • M.Sc in Chemistry, Department of Chemistry, Indian Institute of Technology Madras, India (2004-2006)
    • B.Sc in Chemistry, Rabindra Mahavidyalaya, The University of Burdwan, India (2001-2004)

    Journal Articles:
  • Molecular Representations for Machine Learning Applications in Chemistry, S. Raghunathan*, U. D. Priyakumar*, Int. J. Quantum Chem. e26870 (2021).
  • Desolvation of Peptide Bond by O to S Substitution Impacts Protein Stability, B. Khatri, S. Raghunathan, S. Chakraborti, Rahisuddin, S. Kumaran, R. Tadala, P. Wagh, U. D. Priyakumar, J. Chatterjee, Angew. Chem. Int. Ed. 60, 24870 (2021).
  • SCONES: Self-Consistent Neural Network for Protein Stability Prediction Upon Mutation, Y. B.L. Samaga, S. Raghunathan, U. D. Priyakumar, J. Phys. Chem. B 125, 10657 (2021).
  • MoleGuLAR: Molecule Generation using Reinforcement Learning with Alternating Rewards, M. Goel, S. Raghunathan, S. Laghuvarapu, U. D. Priyakumar, J. Chem. Inf. Model 61, 5815 (2021).
  • Multiscale Modeling of Wobble to Watson-Crick-like Guanine-Uracil Tautomerization Pathways in RNA, S. Chandorkar, S. Raghunathan, T. Jaganade, U. D. Priyakumar, Int. J. Mol. Sci. 22, 5411 (2021).
  • Urea-Aromatic Interactions in Biology, S. Raghunathan, T. Jaganade, U. D. Priyakumar, Biophys. Rev. 12, 65 (2020).
  • Urea-Water Solvation of Protein Side Chain Models, T. Jaganade, A. Chattopadhyay, S. Raghunathan, U. D. Priyakumar, J. Mol. Liq. 311, 113191 (2020).
  • Transition between [R]- and [S]-Stereoisomers without Bond Breaking, S. Raghunathan, K. Yadav, V. C. Rojisha, T. Jaganade, V. Prathyusha, S. Bikkina, U. Lourderaj, U. D. Priyakumar, Phys. Chem. Chem. Phys. 22, 14983 (2020).
  • Machine Learning for Accurate Force Calculations in Molecular Dynamics Simulations, P. Pattnaik, S. Raghunathan, T. Kalluri, P. Bhimalapuram, C. V. Jawahar, U. D. Priyakumar, J. Phys. Chem. A 124, 6954 (2020).
  • Polarizable Multipolar Molecular Dynamics Using Distributed Point Charges, M.Devereux, M.Pezzella, S. Raghunathan, M. Meuwly, J. Chem. Theory Comput. 16, 7267 (2020).
  • The Role of Water in the Stability of Wild Type and Mutant Insulin Dimers, S. Raghunathan, K. El Hage, J. L. Desmond, L. Zhang, M. Meuwly, J. Phys. Chem. B 122, 7038 (2018).
  • A Novel, Computationally Efficient Multipolar Model Employing Distributed Charges for Molecular Dynamics Simulations, M. Devereux, S. Raghunathan, D. G. Fedorov, M. Meuwly, J. Chem. Theory Comput. 10, 4229 (2014).
  • Electron Dynamics Across Molecular Wires: A Time-Dependent Configuration Interaction Study, R. Ramakrishnan, S. Raghunathan, M. Nest, Chem. Phys. 420, 44 (2013).
  • The Lack of Resonance Problem in Coherent Control with Real-Time Time-Dependent Density Functional Theory, S. Raghunathan, M. Nest, J. Chem. Theory Comput. 8, 806 (2012).
  • Coherent Control and Time-dependent Density Functional Theory: Towards Creation of Wave Packets by Ultrashort Laser Pulses, S. Raghunathan, M. Nest, J. Chem. Phys. 136, 064104 (2012).
  • Limits of the Creation of Electronic Wave Packets Using Time-Dependent Density Functional Theory, S. Raghunathan, M. Nest, J. Phys. Chem. A 116, 8490 (2012).
  • Critical Examination of Explicitly Time-Dependent Density Functional Theory for Coherent Control of Dipole Switching, S. Raghunathan, M. Nest, J. Chem. Theory Comput. 7, 2492 (2011).
  • The Simultaneous Adsorption of Benzene and Dioxygen in CuHY Zeolites as a Precursor Process of the Aerobic Oxidation of Benzene to Phenol, S. Santra, H. Stoll, G. Rauhut, Phys. Chem. Chem. Phys. 12, 6345 (2010).
  • Adsorption of Dioxygen to Copper in CuHY Zeolite, S. Santra, T. Archipov, A. B. Ene, H. Komnik, H. Stoll, E. Roduner, G. Rauhut, Phys. Chem. Chem. Phys. 11, 8855 (2009).
  • Adsorption of Benzene to Copper in CuHY Zeolite, T. Archipov, S. Santra, A. B. Ene, H. Stoll, G. Rauhut, E. Roduner, J. Phys. Chem. C 113, 4107 (2009).
    • Conferences and Oral Presentations:
  • TIPnP Waters with Distributed Charge Model, Seminar talk at “University of Basel”, February 12, 2015, Basel, Switzerland.
  • Hybrid Enzymes for Efficient Hydrogen Production from Methanol, Seminar talk at “University of Basel”, November 13, 2014, Basel, Switzerland.
  • QM/MM Studies on the Aerobic Oxidation of Benzene to Phenol in Zeolites, Seminar talks at “University of Basel”, April, 2014, Basel, Switzerland; “University of Wuerzburg”, 14 October, 2009, Wuerzburg, Deutschland; “Technical University of Munich”, 21 October, 2009, Munich, Germany; “University of Stuttgart”, 17 November, 2009, Stuttgart, Germany.
  • QM/MM Studies on Adsorption Processes in Zeolites: O2-CuHY, C6H6-CuHY and O2,C6H6-CuHY Complexes, Poster presented at “45th Symposium on Theoretical Chemistry: Excited States: From Photophysics to Photobiology”, 8 – 12 September, 2009, Neuss am Rhein, Germany.
  • QM/MM Studies on Adsorption Processes in Zeolites: Dioxygen-CuHY and Benzene-CuHY Complexes, Poster presented at “44th Symposium on Theoretical Chemistry: From Basic Principles to Applications”, 23 – 27 September, 2008, Ramsau am Dachstein, Austria.
  • QM/MM Studies on the Aerobic Oxidation of Benzene to Phenol in Zeolites, Seminar talk at “3rd SFB 706 Postgraduate Workshop”, 6 – 8 October, 2008, Kleinwalsertal, Austria.
  • QM/MM Studies on Adsorption Complexes in Zeolites, Seminar talk at “2nd SFB 706 Postgraduate Workshop”, 25 – 27 September, 2007, Kloster Banz, Germany.
  • QM/MM Studies on Adsorption Complexes in Zeolites, Poster presented at “43rd Symposium for Theoretical Chemistry 2007”, 16 – 20 September, 2007, Saarbruecken, Deutschland.
  • QM/MM Studies on Adsorption Complexes in Zeolites, Poster presented at “First International Symposium on Selective Oxidation Catalysis: C-H activation via molecular oxygen”, 28 – 31 October, 2007, Schloss Hohenheim, Stuttgart, Germany.
  • QM/MM Studies on Adsorption Complexes in Zeolites, Poster presented at “Molecular Quantum Mechanics: Analytic Gradients and Beyond – A conference in Honor of Peter Pulay”, 29 May – 3 June, 2007, Margitsziget, Budapest, Hungary.
  • The Catalytic Oxidation of Benzene in Zeolites: Vibrational Frequency Calculations, Poster presented at “1st SFB 706 Postgraduate Workshop”, 5 – 6 October, 2006, Blaubeuren, Germany.
  • Non-Adiabatic Collision Dynamics: An ab initio Case Study, Seminar talk, 14 November, 2006, Institute for Theoretical Chemistry, University of Stuttgart, Germany.
  • Dissociation of van der Waals molecules, Seminar talk, 7 April, 2006, Indian Institute of Technology Madras, India.

    • Dr. Shampa Raghunathan is an Associate Professor of Chemistry at Mahindra University.
    • Dr. Shampa Raghunathan is an Assistant Professor of Chemistry at Mahindra University.
    • Oct 2017 – Sep 2021, Research Scientist, Center for Computational Natural Sciences and Bioinformatics, IIIT Hyderabad, India
    • Research Associate, Department of Chemistry, University of Basel, Switzerland
    • Research Associate, Department of Chemistry, Technical University of Munich, Germany

    Teaching Experience:

    • January-April 2021: Molecular Modelling and Simulations, IIIT Hyderabad
    • Academic Year 2020-2021, MC-610, NIPER Hyderabad

    • Machine Learning
    • Chemical Reaction Dynamics
    • QM/MM Modelling
    • Protein Chemistry and Solvent Effects
    Awards
    • Department of Science and Technology (DST)-Women Scientists Scheme-A (WOSA)
    • Science and Research Engineering Board (SERB)-National Postdoctoral Fellowship (NPDF)

    Dr Mashetti Ravibabu is an assistant professor in Ecole Centrale school of engineering at Mahindra university.

    Dr. Ravibabu’s research interests include, but are not limited to, Numerical linear algebra, Data Sciences, and Machine Learning.

    • Post-Doctoral Fellow, Indian Institute of Science, Bangalore, July 2017- October 2019.

    • Mashetti Ravibabu and Arindama Singh, The Least squares and line search in extracting eigenpairs in Jacobi–Davidson method, BIT Numerical Mathematics, Volume 60, 2020
    • Mashetti Ravibabu and Arindama Singh, A new variant of Arnoldi method for approximation of eigenpairs Journal of Computational and Applied Mathematics Volume 344, 15 December 2018, Pages 424-437
    • Mashetti Ravibabu and Arindama Singh, On refined Ritz vectors and polynomial characterization, Computers & Mathematics with Applications, Volume 67, Issue 5, March 2014, Pages 1057-1064

    • Assistant Professor-Mahindra University, Hyderabad, Aug 2021-Present
    • Assistant Professor, National Institute of Technology, Warangal, Jan 2021-July 2021

    Numerical Linear Algebra, Machine Learning

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