Dr Prashant Sharma

About

Dr. Prashant Sharma is an Associate Professor currently working in the Department of Computer Science & Engineering at Vivekananda Global University, Jaipur. He holds a Ph.D. in Computer Science Engineering from Career Point University, M.Tech. from Rajasthan Technical University, and a B.E. from the University of Rajasthan. With over 14 years of academic experience, including 6 years post-PhD, Dr. Sharma has supervised the completion of 7 Ph.D. Scholars.
He has an impressive portfolio of research, with 18 International Journal Papers (ESCI: 07, SCOPUS: 13) and 19 Scopus-indexed international conference papers published, as well as innumerable patents. Dr. Sharma has guided numerous M.Tech. Students and has played pivotal roles in organizing workshops, conferences, and Faculty Development Programs (FDPs). His research interests focus on nature-inspired algorithms, artificial intelligence, and machine learning. Dr. Sharma has significantly contributed to academia through teaching, research, and administrative responsibilities.

Employment

• Vivekananda Global University Associate Professor
  2024 - Present
• Mandsaur University Associate Professor
  2023 - 2024
• Geetanjali Institute of Technical Studies (GITS) Associate Professor
  2022 - 2023
• Pacific (PAHER) University Associate Professor
  2019 - 2022
• Rajasthan Technical University Assistant Professor (Contractual)
  2016 - 2018
• Modi Institute of Technology Assistant Professor
  2010 - 2015
• Modi Institute of Technology Assistant Professor
  2008 - 2008

Education

• Career Point University PhD
  ? - 2018
• Rajasthan Technical University MTech
  ? - 2012
• University of Rajasthan BE
  ? - 2007

Projects & Funding

Projects & funding information is unavailable.

Publications (38)

• Smart Maintenance: AI and IoT Driven Asset Care in Hospitality
  Transforming Tourism and Hospitality 2026 DOI: 10.1201/9781003540083-3
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• Generative <scp>AI</scp> for Next Generation Recommendation System
  Next‐Generation Recommendation Systems 2026 DOI: 10.1002/9781394351572.ch7
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• Low-Cost LoRaWAN Vehicle Detection System for Urban Traffic Management: A Cost-Driven Design Approach with Field Validation
  2026 DOI: 10.2139/ssrn.6285119
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• Image Integrity Verification Through a Transdisciplinary Approach Combining Deep Features and Metadata Analysis
  Lecture Notes in Networks and Systems 2026 DOI: 10.1007/978-3-032-19300-1_14
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• HACS-TL: Cross-Script Transfer Learning for Hausa Ajami Hate Speech Detection Using Transformer-Based Architecture
  Proceedings of the 2nd Workshop on NLP for Languages Using Arabic Script 2026 DOI: 10.18653/v1/2026.abjadnlp-1.36
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• Explicit and Implicit Knowledge in Deep Learning: A Systematic Review of Cognitive-Inspired Representations
  Lecture Notes in Networks and Systems 2026 DOI: 10.1007/978-3-032-19179-3_9
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• A Comprehensive Review of IoT-Based Traffic Monitoring Systems: Architectures, Technologies, and Future Directions
  2026 DOI: 10.2139/ssrn.6285158
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• Skin disease detection and diagnosis using CNN: a systematic review
  IET Conference Proceedings 2026 DOI: 10.1049/icp.2025.4745
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• Brain tumor detection using CNN: a systematic review paper
  IET Conference Proceedings 2026 DOI: 10.1049/icp.2025.4723
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• A Supervised Machine Learning-Based System for Diabetes Type Classification and Personalized Diet Recommendation
  2025 IEEE 7th International Conference on Computing Communication and Automation Iccca 2025 2025 DOI: 10.1109/ICCCA66364.2025.11325677
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