Bio-Sketch:

Dr. Subhodip Saha received his B.Tech. degree in Electrical Engineering from West Bengal University of Technology (Now MAKAUT), Kolkata, West Bengal in 2012. He received M.Tech. degree in Power System Engineering and Ph.D. in Electrical Engineering from IIT(ISM) Dhanbad in 2015 and 2020, respectively. Dr. Saha has worked as an Assistant Professor (on contract) in the Department of Electrical Engineering at Punjab Engineering College (Deemed to be University), Chandigarh. He joined the Electrical Engineering Department at Netaji Subhas University of Technology, New Delhi in 2023 as an Assistant Professor. His areas of research include Active Distribution Network Planning, Integration of Electric Vehicles in Distribution Network, Evolutionary Optimization Methods, Many-objective Optimization, Swarm Intelligence Algorithms and their application in solving power system optimization problems.

Areas of Interest:

Active Distribution Network Planning, Power System Optimization, Evolutionary Optimization Methods, Many-objective Optimization, Swarm Intelligence Algorithms

Scopus Author ID: 56998047300

ORCID: https://orcid.org/0000-0002-8005-1566

Google Scholar Link: https://scholar.google.com/citations?user=Gv38qG8AAAAJ&hl=en

Selected publication

Kumar, Y., Thakur, T., and Saha, S. (2023) "Simulation Analysis of Conventional Building to Convert it into Net Zero Energy Building." International Conference on Power, Instrumentation, Energy and Control (PIECON 2023)

Saha, S., and Mukherjee, V. (2020). "A Novel Metaheuristic for Optimal Allocation of Distributed Generation in Balanced Distribution Network Considering Hourly Load Variation." IEEE 9th Power India International Conference (PIICON 2020)

Saha, S., and Mukherjee, V. (2021). “A Novel Multi-objective Modified Symbiotic Organisms Search Algorithm for Optimal Allocation of Distributed Generation in Radial Distribution System.” Neural Computing and Applications, 33, 1751-1771. 

Saha, S., and Mukherjee, V. (2019). “A Novel Multiobjective Chaotic Symbiotic Organisms Search Algorithm to Solve Optimal DG Allocation Problem in Radial Distribution System.” International Transactions on Electrical Energy Systems, 29(5), e2839. 

Saha, S., and Mukherjee, V. (2018). “A Novel Chaos Integrated Symbiotic Organisms Search Algorithm for Global Optimization.” Soft Computing, 22(11), 3797-3816. 

Saha, S., and Mukherjee, V. (2018). “A Novel Quasi-oppositional Chaotic Antlion Optimizer for Global Optimization.” Applied Intelligence, 48(9), 2628-2660. 

Saha, S., and Mukherjee, V. (2016). “Optimal Placement and Sizing of DGs in RDS using Chaos Embedded SOS Algorithm.” IET Generation, Transmission and Distribution, 10(14), 3671-3680. 

Verma, S., Saha, S., and Mukherjee, V. (2017). “A Novel Symbiotic Organisms Search Algorithm for Congestion Management in Deregulated Environment.” Journal of Experimental and Theoretical Artificial Intelligence, 29(1), 59-79.