TCG CREST

Research and Education

Dr. Abhishek Kumar received the B.Tech degree in Electrical Engineering from Uttarakhand Technical University, Dehradun in 2013. He finished his Ph.D. in Systems Engineering at the Department of Electrical Engineering, Indian Institute of Technology (BHU), Varanasi, India in 2019. He is the recipient of the “Young Researcher Award-2016” from the IEEE CIS Chapter, UP section, IIT Kanpur. His developed optimization algorithms “EBOwithCMAR” and “SASS” have secured the first position in IEEE CEC-2017 special session and competition on bound-constrained optimization and IEEE CEC-2020/GECCO-2020 special session and competition on real-world constrained optimization, respectively. His current research interests include swarm and evolutionary computation and its application in real-world optimization problems, especially in Power System Optimization applications and Machine Learning. He also serves as a reviewer for several journals including IEEE TCYB, IET GTD, SWEVO, and ASOC.

More details about his publication and current research interest are available on his [homepage].

Publications

1. Abhishek Kumar, Oladayo S. Ajani, Swagatam Das, and Rammohan Mallipeddi.-Gridshift: A Faster Mode-seeking Algorithm for Image Segmentation and Object Tracking., Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2022 (CVPR 2020), Accepted for Oral Presentation. (Ranked first and fourth as Top publication in Computer Science and all category, respectively according to Google Scholar
   
   
2. Abhishek Kumar, Swagatam Das, and Vaclav Snasel.-Improved Spherical Search with Local Distribution induced Self-Adaptation for Hard Non-convex Optimization with and without Constraints., Information Sciences, Accepted with Minor Revision. (ISSN: 2168-2216, SCI, Impact Factor: 8.233
   
   
3. Abhishek Kumar, Partha Biswas and Ponnuthurai Suganthan.-Differential Evolution with Orthogonal Array-based Initialization and a Novel Selection Strategy, Swarm and Evolutionary Computation, Under Review. (ISSN: 2210-6502, SCI, Impact Factor: 10.267)
   
   
4. Abhishek Kumar, Swagatam Das, Lingping Kong and Vaclav Snasel.-Spherical Search with A Low Precision Projection Matrix for Real-World Optimization, IEEE Transaction on Cybernetics, Accepted for Publication. (ISSN: 2168-2267, SCI, Impact Factor: 19.118)
   
   
5. Abhishek Kumar, Guohua Wo, Mostafa Ali, Qizhang Luo, Rammohan Mallipeddi, Ponnuthurai Suganthan and Swagatam Das.-A Benchmark-Suite of Real-World Constrained Multi-Objective Optimization Problems and some Baseline Results, Swarm and Evolutionary Computation, Accepted for Publication. (ISSN: 2210-6502, SCI, Impact Factor: 10.267)
   
   
6. Abhishek Kumar, Bablesh Kumar Jha, Swagatam Das, and Rammohan Mallipeddi.-Solving the Power Flow Problem of Droop Controlled Islanded Microgrids: A Differential Evolution Approach, IEEE Access, Accepted for Publication. (ISSN: 2169-3536, SCI, Impact Factor: 3.476)
   
   
7. Abhishek Kumar, Swagatam Das, and Rammohan Mallipeddi.-An Inversion-free Robust Power Flow Algorithm for Microgrids, IEEE Transactions on Smart Grid, Accepted for Publication. (ISSN: 1949-3053, SCI, Impact Factor: 10.275)
   
   
8. Abhishek Kumar, Swagatam Das, Rakesh Kumar Misra, and Deveneder Singh.-A v-constrained Matrix Adaptation Evolution Strategy with Broyden-based Mutation for Constrained Optimization, IEEE Transaction on Cybernetics, Accepted for Publication. (ISSN: 2168-2267, SCI, Impact Factor: 19.118)
   
   
9. Abhishek Kumar, Swagatam Das and Rammohan Mallipeddi.-A Reference Vector based Simplified Covariance Matrix Adaptation Evolution Strategy for Constrained Global Optimization, IEEE Transaction on Cybernetics, Accepted for Publication. (ISSN: 2168-2267, SCI, Impact Factor: 19.118)
   
   
10. Abhishek Kumar, Guohua Wo, Mostafa Ali, Rammohan Mallipeddi, Ponnuthurai Suganthan and Swagatam Das.-A Test-suite of Non-Convex Constrained Optimization Problems from the Real-World and Some Baseline Results, Swarm and Evolutionary Computation, vol. 56, Aug. 2020. (ISSN: 2210-6502, SCI, Impact Factor: 10.267)