Dr Soumyajit Ghosh
Assistant Professor
| Centre of Internet of Things
Madhav Institute of Technology and Science
Madhya Pradesh
Expertise:
Electrical and Electronic Engineering
24
Publications
0
Projects
361
Scopus Citations
311
CrossRef
10 Years 5 Months Total Experience
Scopus
361
Citations
11
h-index
CrossRef
311
Citations
11
h-index
Google Scholar
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Professional Recognition
Gate: Instrumentation Engineering
2007
MHRD Govt. of India.
PhD fellowship
2015
The Ministry of Electronics and Information Technology ( MeitY), Govt. of India.
AWSAR Award
2023
The Department of Science and Technology (DST), Govt. of India
Community & Membership
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IEEE
Senior MemberPersonal Details
Doctor of Philosophy
2021
National Institute of Cholera and Enteric Diseases
Master of Engineering
2010
National Institute of Cholera and Enteric Diseases
Bachelor of Technology
2008
PIPMATE
Assistant Professor
Jul 2024 – Present
Madhav Institute of Technology and Science
| Centre of Internet of Things
Research Associate
Jan 2022 – Jun 2024
Indian Institute of Technology, Kanpur
| Department of Electrical Engineering
Research Fellow
Sep 2021 – Jan 2022
Indian Institute of Technology, Kanpur
| Department of Electrical Engineering
Assistant Professor
Aug 2010 – Dec 2015
Bengal College of Engineering and Technology 125
Engineering and Technology
Scholarly Work
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Scholarly Publications
Smart-Fuzzy based Dump Load Controller for Wind Power Generation Suitable for Isolated Critical Loads
Non-intrusive identification of harmonic polluting loads in a smart residential system
PV based Isolated Irrigation System with its Smart IoT Control in Remote Indian Area
Wind-PV based Isolated Hybrid Generation for Smart Irrigation Management and Supplying other Critical Loads
Hybrid Generation Scheme for Delivering Irrigation Loads and Other Critical Loads With Smart IoT Based Control
Grid-Isolated Hybrid Generation for Critical Loads Supported by Electric Spring System With Smart Load Control
10.1109/JIOT.2025.3601508
Scopus: 2
Enhanced Non-Intrusive Load Monitoring via Optimized Feature Selection and Majority-Voted Ensemble Learning
Neural Network Based Fault Location in Power Distribution System
Showing 1 to 8 of 24 publications