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Dr. Shweta Redkar

Dr. Shweta Redkar

Designation: Assistant Professor

Biography:

Dr. Shweta Redkar is an Assistant Professor with over 8 years of academic experience in Computer Science and Engineering. She holds a Ph.D. in Data Science and Computer Applications from Manipal Institute of Technology, MAHE. Her research interests include Machine Learning, Deep Learning, and Soft Computing, with research contributions in areas such as drug-target interaction prediction and healthcare applications of AI. She has published research papers and presented work at international conferences. She has also contributed to teaching, student mentoring, academic administration, and faculty development activities.

  • Ph.D. in Data Science and Computer Applications | Manipal Institute of Technology, Manipal Academy of Higher Education (Institution of Eminence) | 2024
  • M.E. in Computer Science & Engineering | Goa College of Engineering, Goa University | 2013
  • B.E. in Information Technology | Goa College of Engineering, Goa University | 2008

  • Assistant Professor | Manipal University Jaipur |2022-2026
  • Assistant Professor | SRIET, Goa University | 2008 – 2013
  • Lecturer (Visiting) | Goa College of Engineering | Goa University | 2008

  • Machine Learning, Deep Learning, Soft Computing

  1. S. Redkar, et.al., “A Machine Learning Approach for Drug-target Interaction Prediction using Wrapper Feature Selection and Class Balancing,” Molecular Informatics, vol. 39, no. 5, p. 1900062, May 2020, https://doi.org/10.1002/minf.201900062.
  2. T. Harikrishnan, K. Jeganathan, S. Redkar, et.al., “A finite source retrial queueing inventory system with stock dependent arrival and heterogeneous servers,” Scientific Reports, vol. 14, 30588, Dec. 23, 2024, doi: 10.1038/s41598-024-81593-7 .
  3. Gandotra, E., Gupta, D., Dhalaria, Gupta, N., Redkar S., PhishDetect: A ranking-based classifier integration approach for improving phishing website detection. Sci Rep (2026). https://doi.org/10.1038/s41598-026-57807-5

  1. S. Redkar, K. S. Hareesh, et.al ,“Predicting Binding Sites from Protein Sequences – A Case Study on Proteases”, 3rd IIT Madras –Tokyo Tech Joint Symposium on “Algorithms and Applications of Bioinformatics, October 2015, Chennai, Tamil Nadu, India. (Second Prize.
  2. P. Whig, I. Batra, S. N. Jain, P. Bhattacharya, S. Redkar, et.al., “Leveraging Reinforcement Learning and AlphaGo Algorithms for Enhanced Cancer Detection: A Novel Approach in Medical AI,” International Conference on Next Generation Communication & Information Processing (INCIP), Bangalore, India, 2025, pp. 333-338, doi: 10.1109/INCIP64058.2025.11020462.
  3. B. Yogi, S. Roy, U. Rawat, S. Redkar, et.al., “CAPLC: Cellular Automata-Powered Lightweight Cipher-Unveiling Secure Communication in Resource-Constrained Environments Using Cellular Automata and Henon Map,” International Conference on Next Generation Communication & Information Processing (INCIP), Bangalore, India, 2025, pp. 249-254, doi: 10.1109/INCIP64058.2025.11019123.
  4. B. Yogi, S. Roy, U. Rawat and S. Redkar, “Advanced Image Ciphering: 1-D Group Cellular Automata and S-Box Strategies, “International Conference on Next Generation Communication & Information Processing (INCIP), Bangalore, India, 2025, pp. 15-19, doi: 10.1109/INCIP64058.2025.11019383.
  5. U. Mamodiya, S. Redkar, R. Sharma, I. Kishor and P. Goyal, “A Hybrid Machine Learning Framework for Predictive Maintenance in Renewable Energy Systems to Enhance Efficiency and Longevity,” 2025 International Conference on Sustainability, Innovation & Technology (ICSIT), Nagpur, India, 2025, pp. 1-6, doi: 10.1109/ICSIT65336.2025.11295132.
  6. Kumar, V. et al. (2026). DeepTrafficFlow: A Deep Learning Approach for Real-Time Traffic Monitoring and Congestion Reduction in Smart Cities. In: Sinwar, D., Dhaka, V.S., Perumal, T., Vocaturo, E. (eds) Innovations in Computational Intelligence and Computer Vision. ICICV 2025. Lecture Notes in Networks and Systems, vol 1786. Springer, Cham. https://doi.org/10.1007/978-3-032-14757-820.
  7. S. Thakur and S. Redkar, “Multi Country Framework for Foreign Exchange Rate Direction Classification Using Macro Economic Indicators”, 14th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA-2026), June 08 – 09, 2026. (Accepted).

  • “A method and system for privacy-preserving gait-based attendance monitoring using an edge–cloud architecture”, Date of Publication: 03/04/2026 (published).

  1. Organized a 5-day online FDP on “Data Analytics & Cloud Security”, 24th – 28th July 2023, organized by Department of Data Science and Engineering, Manipal University Jaipur, Rajasthan, India.
  2. Organized a 5-day FDP on “Implementation of MATLAB tools for Engineering and effective teaching Pedagogy”, 27th – 31st March 2023, organized by School of Information Technology (SIT) and School of Automobile, Mechanical & Mechatronics Engineering, Faculty of Engineering, Manipal University Jaipur.
  3. Organised a poster competition “InsightSacpe 2024” held on 28th -29th November 2024, organized by Department of Data Science and Engineering in association with E-Cell Manipal University Jaipur as a part of “International Conference on Innovations in Data Science”. (Convenor)

  • Reviewer | Springer Nature Discover Computing

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