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Dr. Sarada Mohapatra

Assistant Professor (Level-10), School of Artificial Intelligence, Bengaluru

Qualification: BSc, MSc, Ph.D
m_sarada@blr.amrita.edu
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Research Interest: Optimization, Computational Intelligence, Swarm Intelligence, Machine Learning, Application of Optimization Algorithm

Bio Publications FDP / Workshops Research Talks Delivered
Bio

Dr. Sarada Mohapatra is currently working as an Assistant Professor in the Department of Artificial Intelligence at Amrita Vishwa Vidyapeetham, Bengaluru. She completed her Ph.D. from the Department of Mathematics at Vellore Institute of Technology, Vellore, Tamil Nadu, and completed a one-year Postdoctoral Fellowship at Amrita Vishwa Vidyapeetham, Bengaluru. Her research interests include Swarm Intelligence, Nature-Inspired Algorithms, Machine Learning, and Artificial Intelligence. Previously, she worked as an Assistant Professor in the Department of CSE, School of CS & AI at SR University, Warangal, Telangana. Her research focuses on the development of intelligent optimization frameworks by integrating machine learning with metaheuristic algorithms for solving complex optimization problems.

Publications

Journal Article

Year : 2025

A novel Q-learning-inspired Mountain Gazelle Optimizer for solving global optimization problems

Cite this Research Publication : Priteesha Sarangi, Sarada Mohapatra, Prabhujit Mohapatra, A novel Q-learning-inspired Mountain Gazelle Optimizer for solving global optimization problems, International Journal of Machine Learning and Cybernetics, Springer Science and Business Media LLC, 2025, https://doi.org/10.1007/s13042-025-02620-1

Publisher : Springer Science and Business Media LLC

Year : 2025

A novel reward-based golden jackal optimization algorithm uses mix-weighted dynamic and random opposition learning to solve optimization problems

Cite this Research Publication : Sarada Mohapatra, Priteesha Sarangi, Prabhujit Mohapatra, A novel reward-based golden jackal optimization algorithm uses mix-weighted dynamic and random opposition learning to solve optimization problems, Cluster Computing, Springer Science and Business Media LLC, 2025, https://doi.org/10.1007/s10586-024-04978-3

Publisher : Springer Science and Business Media LLC

Year : 2025

Modified random-oppositional chaotic artificial rabbit optimization algorithm for solving structural problems and optimal sizing of hybrid renewable energy system

Cite this Research Publication : Sarada Mohapatra, Himadri Lala, Prabhujit Mohapatra, Modified random-oppositional chaotic artificial rabbit optimization algorithm for solving structural problems and optimal sizing of hybrid renewable energy system, Evolutionary Intelligence, Springer Science and Business Media LLC, 2025, https://doi.org/10.1007/s12065-024-01004-8

Publisher : Springer Science and Business Media LLC

Year : 2023

American zebra optimization algorithm for global optimization problems

Cite this Research Publication : Sarada Mohapatra, Prabhujit Mohapatra, American zebra optimization algorithm for global optimization problems, Scientific Reports, Springer Science and Business Media LLC, 2023, https://doi.org/10.1038/s41598-023-31876-2

Publisher : Springer Science and Business Media LLC

Conference Proceedings

Year : 2025

A Survey of Fuzzy Clustering Methods and Validation Approaches

Cite this Research Publication : Pratik Singh Thakur, Sarada Mohapatra, A Survey of Fuzzy Clustering Methods and Validation Approaches, Lecture Notes in Networks and Systems, Springer Nature Singapore, 2025, https://doi.org/10.1007/978-981-96-2647-2_12

Publisher : Springer Nature Singapore

Year : 2025

Hybrid grey wolf optimization and salp swarm algorithm for global optimization problems

Cite this Research Publication : Sarada Mohapatra, Prabhujit Mohapatra, Hybrid grey wolf optimization and salp swarm algorithm for global optimization problems, AIP Conference Proceedings, AIP Publishing, 2025, https://doi.org/10.1063/5.0249625

Publisher : AIP Publishing

Research Article

Year : 2023

Fast random opposition-based learning Golden Jackal Optimization algorithm

Cite this Research Publication : Sarada Mohapatra, Prabhujit Mohapatra, Fast random opposition-based learning Golden Jackal Optimization algorithm, Knowledge-Based Systems, Elsevier BV, 2023, https://doi.org/10.1016/j.knosys.2023.110679

Publisher : Elsevier BV

FDP / Workshops
  • Attended Five-Day Online FDP on “Operation Research and Optimization Techniques” organized by VIT Chennai.
  • Attended Five-Day Online FDP on “Application of AI and Optimization Algorithms on Engineering Field” organized by VIT Chennai.
Research Talks Delivered
  • Presented “Hybrid Grey Wolf Optimization and Salp Swarm Algorithm for Global Optimization Problems” at ICICA-24, May 2024.
  • Presented “Boosted Sea-Horse Optimization Algorithms for Solving Global Optimization Problems and Engineering Applications” at ICAM-24, June 2024.
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