About:

I have obtained a B.Sc. degree in Computer Science (Hons.) from Ravenshaw University, Odisha in 2009. After that, I have obtained a M.Sc. degree in Mathematics and Computing from IIT Guwahati in 2012. Then, I obtained a Ph.D. in Mathematics (Operations Research) from NIT Silchar in 2018. Presently, I am working as an Assistant Professor in the Department of Mathematics at VIT University, Vellore. I taught the courses like Statistics for Engineers, Applied Linear Algebra, Calculus, Machine Learning, and Artificial Intelligence to B.tech and M.Sc. students at VIT University. 

Educational Qualification:

• Ph.D. in Operations & Research (Soft Computing Techniques) from the National Institute of Technology, Silchar, India in 2018.

• 1st Cass Master of Science in Mathematics and Computing from 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: 4.5 Years+)

• Assistant Professor in Dept. of Mathematics, VIT University Vellore from 22-11-2018 to Present.

• Assistant Professor in 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.

Highlighted Publications:

Publication Highlights: Total Citations: 240, h-index:7, i10: 5, (Source: Google Scholar, July 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: 8.139) 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) (2023). (SCI, Q1, Impact: 4.996) DOI: 10.1038/s41598-023-31876 

Code: data.mendeley.com/datasets/w48t69hg3k/draft?a=02793b95-da63-48ac-acb2-cbcb88ad792e 

• ·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). (SCI, Q1, Impact: 6.626)  DOI: https://doi.org/10.1016/j.aej.2023.06.048  

Code: https://data.mendeley.com/datasets/43wxw3w8sk/draft?a=e1b0d8c2-602c-43cc-b5b7-92b750229dcf

• P. Mohapatra, K.N. Das, S. Roy, A modified competitive swarm optimizer for large scale optimization problems, Applied Soft Computing 59 (2017) 340-362. (SCI, Q1, Impact: 8.263). DOI: 10.1016/j.asoc.2017.05.060 

Code: https://data.mendeley.com/datasets/45wwrh5drr/draft?a=87c69052-8f46-4862-8538-8ae17be33e40

• 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: 2.9) (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 (2023). (SCIE, Q3, Impact: 1.3) (DOI https://doi.org/10.1142/S0129183124500517)

• 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).

• P. Sarangi, P. Mohapatra, Evolved Opposition-based Mountain Gazelle Optimizer to solve optimization problems, Journal of King Saud University - Computer and Information Sciences (2023, Accepted). (SCIE, Q1, Impact: 6.9)

• 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. (SCI, Q1, Impact: 9.006) DOI: 10.1016/j.jksuci.2022.08.022

• 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)

• 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)

• ·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)

• ·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).  

• ·S. Mohapatra, P. Sarangi, P. Mohapatra, An Improvised Grey Wolf Optimizer for Global Optimization Problems, Int. J. of Mathematics in Operational Research,  (2023, Accepted) (Scopus).

• Priteesha Sarangi, Prabhujit 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, Prabhujit 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

Sponsored Project:

Optimal Placement of Wind Turbines in Tamil Nadu Using Multi-Objective Evolutionary Algorithms, VIT SEED Grant 2021, Amount 1,50,000.  (Ongoing)

Books:

• Prabhujit Mohapatra: Congestion Game Theory and Applications With Programming Code in C. 2014 edited by Ms. Cristina Muchi, 07/2014; LAP Lambert Academic Publishing., ISBN: 978-3-659-57073-5

• Prabhujit Mohapatra: Congestion Game Theory and Applications. 06/2014; BookRix GmbH & Co. KG 81675 Munich., ISBN: 978-3-7368-2309-9

Awards & Grants:

• ALL India Rank 311th in GATE 2015 in Mathematics.

• ALL India Rank 372th in IIT-JAM 2010 in Mathematics.

• ALL India Rank 27th in SRMEEE 2010 in MCA Entrance Examination.

• ALL India Rank 48th in OJEE 2010 in MCA Entrance Examination.

• Best Student award from Kendrapara Govt. High School for the year 2004-05.

• Best Paper Award in SocPros 2018 International Conference.