Dr. Bibek Kumar
Symbiosis University of Applied Sciences, VGI Group of institutions, DIT University Dehradun, NIT Hamirpu Himachal Pradesh, KIET GROUP OF INSTITUTIONS, Galgotia College of Engineering College
About
Dr. Bibek Kumar is an Associate Professor at the School of Data Science, Symbiosis University of Applied Sciences, Indore, India. He holds a Ph.D. in Computer Science and Engineering with specialization in Artificial Intelligence and Machine Learning. His research interests include computer vision, SAR image processing, deep learning, and optimization techniques. He has published extensively in SCI, Scopus-indexed, and UGC Care journals and conferences. With over 17 years of academic experience, he has also contributed to academic administration, curriculum development, and accreditation processes such as NAAC and NBA. He is currently pursuing postdoctoral research in satellite image object recognition using soft computing techniques.
Employment
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Symbiosis University of Applied Sciences Associate Professor2024 - Present
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VGI Group of institutions ASSOCIATE PROFESSOR & HEAD2023 - 2024
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KIET GROUP OF INSTITUTIONS ASSISTANT PROFESSOR2022 - 2023
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DIT University Assistant Professor2018 - 2022
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ABSS INSTITUTE OF TECHNOLOGY ASSISTANT PROFESSOR AND HEAD2011 - 2017
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Vishveshwarya Group of Institutions Associate Professor and Head of Department2009 - 2011
Education
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DIT University Dehradun PhD2018 - Present
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NIT Hamirpu Himachal Pradesh M.Tech2006 - 2008
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Galgotia College of Engineering College B.Tech2002 - 2006
Projects & Funding
Projects & funding information is unavailable.
Publications (13)
- The Age and Gender Detection using Deep Convolution Neural Network Save
- Harmonizing Precision Agriculture: Augmented Insights into Plant Disease Detection Using Deep Learning Save
- A review on efficacy of gamified platforms for speech therapy Save
- Music Recommendation System Using Face Emotion Recognition Save
- Machine Learning Approaches to Predict the Teams for Fantasy Leagues Save
- Car Recognition System Using Convolutional Neural Network Save
- COMPUTER VISION AND REGEX OBJECT DETECTION MODEL IN ROBOTICS PROCESS AUTOMATION FOR ENHANCE ACCURACY TO A SPECIFIC PROCESS Save
- A SAR ATR Using a New Convolutional Neural Network Framework Save
- A New Synthetic Aperture Radar (SAR) Image Classification Framework Model Using SAR Despeckling Save
- A Survey on Techniques Used for De-Speckling of SAR Images Save