Dr Subhadip Goswami
Assistant Professor
| Department of Electrical Engineering
Sandip Foundations Sandip Institute of Technology & Research Centre, P.O.Mahirawani, Dist.Nashik
Maharashtra
Expertise:
Electrical and Electronic Engineering
27
Publications
0
Projects
62
Scopus Citations
66
CrossRef
14 Years 2 Months Total Experience
Scopus
62
Citations
4
h-index
CrossRef
66
Citations
5
h-index
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Professional Recognition
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Community & Membership
EXAM CELL
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MEMBERUNNAT BHARAT ABHIYAN
CO COORDINATORMATH TECH THINKING FOUNDATION
MTTF7761872Personal Details
Doctor of Philosophy
2025
National Institute of Technology, Karnataka
Master of Technology
2013
Marwadieducation Foundations Group of Institutions
Master of Business Administration
2013
Sardargunj Mercantile Co. Op. Bank Ltd. (Anand) English Medium College of Commerce & Management, Vallabh Vidyanagar
Assistant Professor
Aug 2025 – Present
Sandip Foundations Sandip Institute of Technology & Research Centre, P.O.Mahirawani, Dist.Nashik
| Department of Electrical Engineering
Assistant Professor
Sep 2024 – Aug 2025
Bharat Institute of Engineering & Technology
Assistant Professor
Aug 2023 – Aug 2024
Bengal College of Engineering and Technology 125
| Department of Electrical Engineering
Assistant Professor
Aug 2022 – Aug 2023
Sanaka Educational Trusts
Head of the Department
May 2021 – Aug 2022
Asansol Polytechnic
Assistant Professor
Jul 2013 – Apr 2021
Bengal College of Engineering and Technology 125
Lecturer
Jul 2012 – Jul 2013
BASANTIKA COLLEGE OF EDUCATION
Engineering and Technology
Scholarly Work
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Scholarly Publications
Machine Learning Based Pattern Recognition with HOG Features for Detection of Islanding
Machine Learning Based Classification of Islanding Condition with Histogram of Oriented Gradient Encoded Contour Images
Intelligent Islanding Detection Method Using Local Binary Pattern Feature Extraction from Contour Plot
Islanding Detection Using Pattern Recognition by HOG Features with Ensemble Classifier
An Extensive Analysis of Various Remote Islanding Detection Techniques for Renewable Energy Interconnected Power Systems
Machine Learning Based Approach by Image Recognition for Detection of Islanding
Islanding Detection Using Pattern Recognition with HOG Features by Random Forest
Machine Learning Driven Islanding Detection Using Features Extracted from Contour Plot Images
Showing 1 to 8 of 27 publications