Dr. Ganesh Khekare
Vellore Institute of Technology, Parul University, Priyadarshini College of Engineering, G H Raisoni College of Engineering
About
Dr. Ganesh Khekare is currently working as an Associate Professor in the department of Computer Science & Engineering at Vellore Institute of Technology, India. He has done Ph.D. from Bhagwant University India. He pursued Master of Engineering from G H Raisoni College of Engineering, Nagpur in the year 2013, and Bachelor of Engineering from Priyadarshini College of Engineering, Nagpur in 2010. He is a member of ACM since 2014, a lifetime member of the ISTE and IEEE, IAENG, IFERP, IERD member since 2018. He has published more than 30 research articles in reputed international journals and conferences including Thomson Reuters, IGI Global, Inderscience, Springer, IEEE, Taylor & Francis, etc. He has published one patent and three copyrights. His main research work focuses on the Data Science, Internet of Everything, Machine Learning, Computer Networks, Artificial Intelligence, Intelligent Transportation System, etc. He has more than 13 years of teaching and research experience.
Employment
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Vellore Institute of Technology2022 - Present
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Parul University Associate Professor2021 - 2022
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G H Raisoni College of Engineering Assistant Professor2012 - 2021
Education
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Priyadarshini College of Engineering BE2006 - 2010
Projects & Funding
Projects & funding information is unavailable.
Publications (110)
- Explainability-driven adaptive cyber deception control system for autonomous network defense Save
- Securing the Digital Journey Save
- Deepseacap: a transformer approach for accurate and contextual captioning of underwater imagery Save
- Understanding and Addressing Health Misinformation and Disinformation in Digital Public Health Communication Save
- Divergent Paths to Global Recognition Save
- A comparative analysis of ABET-accredited programs in Asia Save
- Divergent Paths to Global Recognition: ABET Accreditation Strategies Across Three Continents Save
- From LSTM to BERT: A Deep Dive into Sentiment Analysis Models Save
- Optimizing charge discharge cycles using QPPONet-enabled hybrid learning framework for energy management and safety in electric vehicles Save
- Securing ATM Transactions: Integrating Cryptographic Protocols and AI-Enhanced Approaches Save