Dr. Prabhujit Mohapatra

Dr. Prabhujit Mohapatra
Associate Professor in CSE
SRM University-AP

Contact: prabhujit.m@srmap.edu.in/prabhujit.mohapatra@gmail.com Phone: 091-9085894241

About:

I have obtained a B.Sc. degree in Computer Science (Hons.) from Ravenshaw University, Odisha, in 2009. After that, I obtained an M.Sc. degree in Mathematics and Computing from IIT Guwahati in 2012. Then, I obtained a Ph.D. in Soft Computing from NIT Silchar in 2018. Presently, I am working as an Associate Professor in the CSE Department at SRM University-AP. I have 7 years of experience at VIT University, Vellore, from 2018 to 2025.

Educational Qualification:

Ph.D. in Soft Computing from the National Institute of Technology, Silchar, India in 2018.

1st Cass Master of Science in Mathematics and Computing from the Indian Institute of Technology, Guwahati, India in 2012.

1st Cass Master of Computer Applications (First Year) from SRM University, Chennai, India in 2010.

1st Cass Bachelor of Science in Computer Science from Ravenshaw University, Orissa, India in 2009.

1st Cass Higher Secondary in Science from Kendrapara College C.H.S.E, Orissa in 2006.

1st Cass High School from Kendrapara Govt. High School, B.S.E, Orissa in 2004.

Work Experience:

(Total Experience: 7.5 Years+)

Associate Professor in the CSE Department at SRM University-AP from 16-07-2025 to date.

Assistant Professor in the Department of Mathematics, VIT University, Vellore, from 22-11-2018 to 15-07-2025.

Assistant Professor in the Dept. of Mathematics, Presidency University, Bangalore from 23-07-2018 to 03-11-2018.

Courses Taught:

Statistics for Engineers, Statistical Applications, Operations Research, Artificial Intelligence, Machine Learning, Deep Learning, Applied Linear Algebra, Calculus for Engineers, Complex and Linear Algebra, Applied Linear Algebra, Differential Equations, and Transforms.

Research Interest:

Evolutionary Algorithms, Soft Computing Techniques, Evolutionary Algorithms, Multi-objective Optimization, Large-Scale Optimization Techniques, Fuzzy Techniques, Renewable Energy, and Applied Mathematics.

PHD SUPERVISION

Gopi S, 20PHD0760 Thesis Title: Design Of Efficient Meta-Heuristic Approaches for Global Optimization Problems and their Applications, Ph.D. Degree Awarded by VIT University in November 2024.
Sarada Mohapatra, 20PHD0992, Thesis Title: Design of Improved Meta-Heuristics for Solving a Class of Optimization Problems, Ph.D. Degree Awarded by VIT University in May 2025.
Priteesha Sarangi, 20PHD2081 Thesis Title: Evolved Strategies Combined with a Novel BVM Algorithm for solving Global Optimization and Engineering Design Problems, Ph.D. Degree Awarded by VIT University in June 2025.
Vanisree Chandran, 22PHD0059 (Thesis Submitted), Thesis Title: Efficient Meta-Heuristic Strategies for Global Optimization and Engineering Applications, June 2025.

Highlighted Publications:

Publication Highlights: Total Citations: 800+, h-index: 14, i10: 19 (Source: Google Scholar, March 2026)

Year-2025

V. Chandran, P. Mohapatra, ATSA: A Novel Augmented Low Discrepancy Sequence Initialized Tunicate Swarm-based Exponential Local Escaping Operator for Engineering Design Applications, Journal of Big Data, 2025, ISSN 2196-1115. (SCIE, Q1, IF: 8.6) (Accepted)
Abhay Sastha, Manish Mahato, Sarada Mohapatra, Subhabrata Rath, Prabhujit Mohapatra, A Hybrid Whale–Ant Lion Optimization Algorithm with Random Opposition-Based Strategy for Multilevel Image Thresholding, Evolutionary Intelligence, 19, 1, 6, 2026. https://doi.org/10.1007/s12065-025-01119-6 (SCIE, IF: 2.3)
H. Lala, Henry, P. Mohapatra, V. Chandran, An Enhanced Opposition Based African Vulture Optimizer for solving Engineering Design Problems and Global Optimization, Scientific Reports, 15, 1, 33078 Springer Nature, 2025. https://doi.org/10.1038/s41598-025-16630-0 (SCI, Q1, Impact: 3.5)
V. Chandran, P. Mohapatra, A boosted African vultures optimization algorithm combined with logarithmic weight inspired novel dynamic chaotic opposite learning strategy, Expert Systems with Applications, Volume 271, 2025, 126532, ISSN 0957-4174, https://doi.org/10.1016/j.eswa.2025.126532. (SCI, Q1, IF: 7.5)
Mohapatra, S., Lala, H. & Mohapatra, P. Modified random-oppositional chaotic artificial rabbit optimization algorithm for solving structural problems and optimal sizing of hybrid renewable energy system. Evol. Intel. 18, 21 (2025). https://doi.org/10.1007/s12065-024-01004-8 (SCI, IF: 2.3)
Mohapatra, S., Mohapatra, P. A novel reward-based golden jackal optimization algorithm uses mix-weighted dynamic and random opposition learning to solve optimization problems. Cluster Computing, 28, article number 333 (2025). https://doi.org/ 10.1007/s10586-024-04978-3 (SCI, IF: 3.6)
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 (2025), DOI: https://doi.org/10.1007/s13042-025-02620-1 (SCI, IF: 3.1)

Year-2024

S. S. Raju, P. Mohapatra, S. Dutta, R. Mallipeddi, K.N. Das, Optimal placement of fixed hub height wind turbines in a wind farm using twin archive guided decomposition based multi-objective evolutionary algorithm, Engineering Applications of Artificial Intelligence, 130, 107735. (SCIE, Q1, IF: 8.0) (2024). DOI: https://doi.org/10.1016/j.engappai.2023.107735
P. Sarangi, P. Mohapatra and H. Lala, "Performance Evaluation of Evolved Opposition-Based Mountain Gazelle Optimizer Techniques for Optimal Sizing of a Stand-Alone Hybrid Energy System," in IEEE Access, vol. 12, pp. 148450-148465, 2024, doi: 10.1109/ACCESS.2024.3474184. (2024) (SCI, Q1, Impact: 3.4)
S Gopi, P. Mohapatra, Fast Random Opposition-Based Learning Aquila Optimization algorithm, Heliyon, Elsevier, 10 (4), e26187, 2024. (SCI, Q1, Impact: 3.4) DOI: 10.1016/j.heliyon.2024.e26187
P. Sarangi, P. Mohapatra, Chaotic-Based Mountain Gazelle Optimizer for Solving Optimization Problems, International Journal of Computational Intelligence Systems, 17, 110 (2024). (SCIE, Q2, Impact: 2.5) (DOI 10.1007/s44196-024-00444-5)
S Gopi, P. Mohapatra, Learning cooking algorithm for solving global optimization problems, Scientific Reports, 14, Article number: 13359, Springer Nature. (SCI, Q1, Impact: 3.8) (2024) doi.org/10.1038/s41598-024-60821-0
V. Chandran, P. Mohapatra, A Novel Multi-Strategy Ameliorated Quasi-Oppositional Chaotic Tunicate Swarm Algorithm for Global Optimization and Constrained Engineering Applications, Heliyon, Elsevier 10 (10) e30757 (2024). (SCI, Q1, Impact: 3.4) DOI:https://doi.org/10.1016/j.heliyon.2024.e30757
S Gopi, P. Mohapatra, Chaotic Aquila Optimization algorithm for solving global optimization and engineering problems, Alexandria Engineering Journal, Volume 108, Pages 135-157 (2024). (SCIE, Q1, Impact: 6.8) DOI: https://doi.org/10.1016/j.aej.2024.07.058
V. Chandran, P. Mohapatra, A novel reinforcement learning-inspired tunicate swarm algorithm for solving global optimization and engineering design problems, Journal of Industrial and Management Optimization, American Institute of Mathematical Sciences, (2024), 21, 565-612. (SCI, Q1, Impact: 1.2) DOI: 10.3934/jimo.2024095
V. Chandran, P. Mohapatra, An improved tunicate swarm algorithm with random opposition based learning for global optimization problems, OPSEARCH, Springer Nature. (SCOPUS, Impact: 1.6) (2024), 62, 959-984. DOI: https://doi.org/10.1007/s12597-024-00828-3

Year-2023

S. Mohapatra, P. Mohapatra, Fast Random Opposition-Based Learning Golden Jackal Optimization Algorithm, Knowledge-Based Systems, Volume 275, 5 September 2023, 110679 (2023). (SCI, Q1, Impact: 7.2) DOI: https://doi.org/10.1016/j.knosys.2023.110679
S. Mohapatra, P. Mohapatra, American zebra optimization algorithm for global optimization problems, Scientific Reports, Springer Nature, 13 (1) 5211 (2023). (SCI, Q1, Impact: 3.5) DOI: 10.1038/s41598-023-31876
V. Chandran, P. Mohapatra, Enhanced Opposition-Based Grey Wolf Optimizer for global optimization and engineering design problems, Alexandria Engineering Journal, Volume 76, 1 August 2023, Pages 429-467 (2023). (SCIE, Q1, Impact: 6.2) DOI: https://doi.org/10.1016/j.aej.2023.06.048
S. Mohapatra, P. Mohapatra, An improved Golden Jackal Optimization algorithm using opposition-based learning for global optimization and engineering problems, International Journal of Computational Intelligence Systems, 16, 147 (2023). (SCIE, Q2, Impact: 2.5) (DOI 10.1007/s44196-023-00320-8)
S. Gopi, P. Mohapatra, Opposition-based Learning Cooking Algorithm (OLCA) for solving global optimization and engineering problems, International Journal of Modern Physics C, Vol 35, 5, 240051 (2023). (SCIE, Q3, Impact: 1.5) DOI https://doi.org/10.1142/S0129183124500517
P. Sarangi, P. Mohapatra, Evolved Opposition-based Mountain Gazelle Optimizer to solve optimization problems, Journal of King Saud University - Computer and Information Sciences, 35, 10, December 2023, 101812, 2023. (SCIE, Q1, Impact: 5.2) DOI: https://doi.org/10.1016/j.jksuci.2023.101812
S. Mohapatra, P. Sarangi, P. Mohapatra, An Improvised Grey Wolf Optimizer for Global Optimization Problems, Int. J. of Mathematics in Operational Research, 26 (2) 263 - 281 (2023) (Scopus) DOI: 10.1504/IJMOR.2023.134490.
S Gopi, P. Mohapatra, A Modified Grey Wolf Optimization Algorithm to Solve Global Optimization Problems, OPSEARCH, Springer Nature Volume 62, pages 337–367,. (SCOPUS, Impact: 1.6) (2024)DOI: https://doi.org/10.1007/s12597-024-00785-x

Year 2022-2017

P. Mohapatra, Combined economic emission dispatch in hybrid power systems using competitive swarm optimization, Journal of King Saud University - Computer and Information Sciences, 34 (10) (2022) 8955-8971. (SCIE, Q1, Impact: 5.2) DOI: 10.1016/j.jksuci.2022.08.022
P. Mohapatra, K.N. Das, S. Roy, S. Dutta, , S. S. Raju, A Review of Evolutionary Algorithms in Solving Large Scale Benchmark Optimization Problems, Int. J. of Mathematics in Operational Research, 21 (1) (2022) 104-126. (Scopus) DOI: 10.1504/IJMOR.2022.120340
P. Mohapatra, K.N. Das, S. Roy, R. Kumar, A. Kumar, CSO Technique for Solving the Economic Dispatch Problem Considering the Environmental Constraints, Asian Journal of Water, Environment and Pollution 16 (2) (2019) 43-50. (Scopus) DOI: 10.3233/AJW190018
P. Mohapatra, K.N. Das, S. Roy, R. Kumar, N. Dey, A Novel Multi-Objective Competitive Swarm Optimization Algorithm, International Journal of Applied Metaheuristic Computing 11 (4) (2019) 6. (Scopus) DOI: 10.4018/IJAMC.2020100106
N. Kumar, R. Kumar, P. Mohapatra, R. Kumar, Modified competitive swarm technique for solving the economic load dispatch problem, Journal of Information and Optimization Sciences 41 (1) (2019) 173-184 (ESCI). DOI: 10.1080/02522667.2020.1714184
P. Mohapatra, K.N. Das, S. Roy, A modified competitive swarm optimizer for large scale optimization problems, Applied Soft Computing 59 (2017) 340-362. (SCIE, Q1, Impact: 6.6). DOI: 10.1016/j.asoc.2017.05.060

CONFERENCES

Priteesha Sarangi, P. Mohapatra, Modified Hybrid GWO-SCA Algorithm for Solving Optimization Problems, ICDAC 2022: Proceedings on International Conference on Data Analytics and Computing, Lecture Notes on Data Engineering and Communications Technologies, Vol 175. Springer, pp. 121-128, 2023. (ICDAC 2022) (Springer, Scopus) DOI: 10.1007/978-981-99-3432-4_10
Priteesha Sarangi, P. Mohapatra, A Novel Cosine Swarm Algorithm for Solving Optimization Problems, Proceedings of 7th International Conference on Harmony Search, Soft Computing and Applications, Lecture Notes on Data Engineering and Communications Technologies, Vol 140. Springer, pp. 427-434, 2022. (ICHSA 2022) (Springer, Scopus) DOI: 10.1007/978-981-19-2948-9_41
S Gopi, P. Mohapatra, A Modified Whale Optimisation Algorithm to Solve Global Optimisation Problems, Proceedings of 7th International Conference on Harmony Search, Soft Computing and Applications, Lecture Notes on Data Engineering and Communications Technologies, Vol 140. Springer, pp. 465-477, 2022. (ICHSA 2022) (Springer, Scopus) DOI: 10.1007/978-981-19-2948-9_45
P. Mohapatra, K.N. Das, S. Roy, Novel competitive swarm optimizer for sampling-based image matting problem, Proceedings of Fourth International Conference on Smart Computing Paradigms: New Progresses and Challenges 766, pp. 109-120, 2020. (ICACNI 2018) (Springer, Scopus) DOI: 10.1007/978-981-13-9683-0_12
P. Mohapatra, K.N. Das, S. Roy, Inherited competitive swarm optimizer for large scale optimization problems, Proceedings of International Conference on Harmony Search and Nature Inspired Optimization Algorithms, Advances in Intelligent Systems and Computing 741, pp. 85-95, 2019. (ICHSA 2018) (Springer, Scopus) DOI: 10.1007/978-981-13-0761-4_9
P. Mohapatra, K.N. Das, S. Roy, An improvised competitive swarm optimizer for large scale optimization problems, Proceedings of Fourth International Conference on Soft Computing for Problem Solving, Advances in Intelligent Systems and Computing 817, pp. 591-601, 2019. (SocPros 2017) (Springer, Scopus) DOI: 10.1007/978-981-13-1595-4_47
P. Mohapatra, S. Roy, AP-NSGA-II: An Evolutionary Multi-objective Optimization Algorithm Using Average-Point-Based NSGA-II, Proceedings of Fourth International Conference on Soft Computing for Problem Solving, Advances in Intelligent Systems and Computing 336, pp. 565-575, 2015. (SocPros 2014) (Springer, Scopus) DOI: 10.1007/978-81-322-2220-0_47
P. Mohapatra, S. Roy, Mathematical Model for Optimization Perishable Resources with Uniform Decay, Proceedings of the International Conference on CIDM, Advances in Intelligent Systems and Computing 411, pp. 447-454, 2016. (ICCIDM 2015) (Springer, Scopus) DOI: 10.1007/978-81-322-2731-1_42
Iswarya, P., Sharan Prasad, H., Mohapatra, P. .Analysis of Forecasting Models of Pandemic Outbreak for the Districts of Tamil Nadu. In: Acharjya, D.P., Ma, K. (eds) Computational Intelligence in Healthcare Informatics. Studies in Computational Intelligence, vol 1132 (2024). Springer, Singapore. (Springer, Scopus) DOI: https://doi.org/10.1007/978-981-99-8853-2_16
Sarada Mohapatra, Prabhujit Mohapatra; Hybrid grey wolf optimization and salp swarm algorithm for global optimization problems. AIP Conf. Proc. 30 January 2025; 3253 (1): 030023. https://doi.org/10.1063/5.0249625