Dr. Dipak Kumar Ghosh
Galgotias University, National Institute of Technology Raipur, National Institute of Technology Rourkela, Adamas University
0000-0003-3768-8091
About
Dr. Dipak Kumar Ghosh has total experience of more than 11 years of teaching and 1.5 years of industry and has been Associated with Galeotas University since 2022. He has completed B. Tech from Kalyani Government Engineering College, Kalyani and M Tech from Department of Electrical Engineering, National Institute of Technical Teachers' Training & Research Kolkata and PhD from Department of Electronics and Communication Engineering, National Institute of Technology Rourkela. He has punished 23 papers including 13 journals (SCI/SCIE/Scopus), 11 IEEE conferences, 2 book chapters and 1 book. He has connected with professional societies such as Member IEEE, IAENG and IAEEEE; Life Member, IEAE.
Employment
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Galgotias University Associate Processor2024 - Present
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Galgotias University Assistant Professor2022 - 2024
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National Institute of Technology Raipur Temporary Faculty2021 - 2022
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Adamas University Associate Processor and HOD2018 - 2021
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Adamas University Assistant Professor2016 - 2018
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Mallabhum Institute of Technology Bishnupor Lecturer2008 - 2010
Education
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National Institute of Technology Rourkela Ph.D.
Projects & Funding
Projects & funding information is unavailable.
Publications (31)
- OPTIMAL SITING AND SIZING OF DISTRIBUTED RENEWABLE GENERATORS IN IEEE-69 BUS RADIAL DISTRIBUTION SYSTEM: A STRATEGIC APPROACH Save
- MULTI-OBJECTIVE OPTIMIZATION FRAMEWORK FOR SITING AND SIZING OF RENEWABLE DISTRIBUTED GENERATORS IN IEEE-33 BUS RADIAL DISTRIBUTION NETWORKS Save
- Diagnostic Analysis of Skin Disease Using Deep Learning Save
- ANALYSIS OF THE CORRELATION BETWEEN BRAIN AND MUSCLE REACTION IN REST AND LIMB MOVEMENTS Save
- ANALYSIS OF BRAIN–MUSCLE CORRELATION IN DIFFERENT HAND MOVEMENTS Save
- A Review on Hyper Spectral Image Classification using CNN and Deep Learning Techniques Save
- MATHEMATICAL MODEL OF HYBRID DEEP LEARNING FOR MULTI-CLASSIFICATION OF PLANT DISEASES Save
- Advanced Computer Vision Framework Using Convolutional Neural Network for Plant Leaf Disease Identification Save
- Hybrid Power Generation System Based on Footsteps and Photovoltic (PV) Save
- Design a Smart Street Lighting Controller using Arduino UNO, LDR, and IR Sensors Save