Dharmeshsinh Ajmalsinh Dabhi

Dr. Dharmeshsinh Ajmalsinh Dabhi

Charotar University of Science and Technology, Anand, India
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Biography

DHARMESH DABHI (Member, IEEE) received the B.E. degree in electrical engineering from Gujarat Technological University, Ahmedabad, India, in 2012, the M.Tech. degree in electrical power system from the M & V Patel Department of Electrical Engineering, Charotar University of Science and Technology (CHARUSAT), Changa, India, in 2014, where he is currently pursuing them Ph.D. degree. He is also an Assistant Professor with the M & V Patel Department of Electrical Engineering, CHARUSAT. His team’s proposed optimization methods entitled EVDEPSO and IC-DEEPSO had secured second and fourth ranks in the IEEE PES and CIS sponsored optimization competitions on Evolutionary Computation in Uncertain Environments: A Smart Grid Application at IEEE–WCCI conference 2018, Rio De Janeiro, Brazil. Also, his team’s proposed optimization method entitled HL_PS_VNSO secured the second rank in the same competition title name but with more complexity in the problem at the IEEE CEC Conference 2019, Wellington, New Zealand, and the GECCO Conference 2019, Prague, Czech Republic. His research interests include artificial intelligence, energy resource management demand response in smart grid, microgrid, and machine learning application in the power systems.

Affiliations

Charotar University of Science and Technology

Anand, India

Honors and Awards

honor

Runner up in 2019 Competition of IEEE WCCI/GECCO

IEEE CEC

GECCO/CEC 2019 Competition: This competition was the extended version of the previous WCCI 2018 Competition with large number of scenarios to make the problem more realistic. It was organized in two international conferences, one at IEEE Congress on Evolutionary Computation – CEC 2019, WELLINGTON, NEW ZEALAND and other at The Genetic and Evolutionary Computation Conference - GECCO 2019, Prague, Czech Republic. My proposed algorithm entitled, “HL_PS_VNSO

honor

Runner up in 2018 Competition of IEEE WCCI/GECCO

IEEE CEC

IEEE World Congress on Computational Intelligence 2018 (WCCI 2018) Competition: A competition entitled “Evolutionary Computation in Uncertain Environments: A Smart Grid Application” has been arranged by GECAD-Polytechnic of Porto in collaboration with Delft University in IEEE World Congress on Computational Intelligence to be held at Rio de Janeiro, Brazil from 8-13 July, 2018. My proposed algorithms entitled, “(EVDEPSO)”have secured a Second rank.

honor

4th rank in 2018 Competition of IEEE WCCI/GECCO

IEEE CEC

IEEE World Congress on Computational Intelligence 2018 (WCCI 2018) Competition: A competition entitled “Evolutionary Computation in Uncertain Environments: A Smart Grid Application” has been arranged by GECAD-Polytechnic of Porto in collaboration with Delft University in IEEE World Congress on Computational Intelligence to be held at Rio de Janeiro, Brazil from 8-13 July, 2018. My proposed algorithms entitled IC- DEEPSO secured a third rank.

honor

1 st rank in the test-bed-2 problem of 2020 Competition of IEEE WCCI/GECCO

IEEE CEC

WCCI/GECCO 2020 Competition: This competition was the extended version of the previous GECCO/CEC 2019 Competition with large number of scenarios to make the problem more realistic. It was organized in two international conferences, one at 2020 IEEE WCCI and other at GECCO 2020. In both competition, I have participated by submitting algorithm name “CE-CMAES” and got the 1st rank in the test-bed-2 problem on “Bi-level optimization of end-users bidding strategies in local energy markets (LM)”

Experience

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