Dr. Ankesh Gupta | Department of Computer Science and Engineering

Bio

Dr. Ankesh Gupta is an Assistant Professor in Computer Science Engineering with over 14 years of academic experience. He holds a PhD in Machine Learning from Vivekananda Global University, Jaipur. His expertise includes AI, Data Science, IoT, and Cloud Computing. He has published numerous research papers in reputed journals and conferences and actively contributes to academic administration, accreditation (NAAC/NBA), and innovation-driven initiatives

Additional Administrative Titles

NBA & NAAC Coordinator

Course Coordinator

Master Subject Coordinator

Batch Coordinator

Academic Degrees

Ph.D., Computer Science Engineering (Machine Learning), Vivekananda Global University, Jaipur (2024)
M.Tech, Computer Science Engineering, RTU(2016)
B.Tech, Computer Science Engineering, RTU (2012)

Academic Appointments

Assistant Professor, Vivekananda Global University, Jaipur (Present)
Assistant Professor, Amity University, Jaipur (2023–2024)
Assistant Professor, Chandigarh University (2022–2023)
Assistant Professor, VIT Jaipur (2020–2022)
Assistant Professor, Arya College (2019–2020)
Assistant Professor, Rajdhani College (2017–2019)
Assistant Professor, Stani Memorial College (2012–2017)

Professional Experience

Over 14 years of teaching, research, and academic administration experience in Computer Science Engineering with expertise in emerging technologies and institutional coordination roles.

Courses Taught

AI, Machine Learning, Data Science, IoT, Cloud Computing, OS, DSA, Python, Computer Graphics

Teaching

AI, Machine Learning, Data Science, IoT, Cloud Computing, OS, DSA, Python, Computer Graphics

Research Interests

Machine Learning, Artificial Intelligence, Data Science, Intrusion Detection Systems, Internet of Things (IoT), Cloud Computing

Journal Articles

M. Kumar S et al., “PREDICTIVE MAINTENANCE FOR DIGITAL PRINTING EQUIPMENT,” ShodhKosh J. Vis. Per. Arts, vol. 6, no. 3s, Dec. 2025, doi: 10.29121/shodhkosh.v6.i3s.2025.6766.
T. S. Ruprah, A. Gupta, P. Jadwal, and V. Mokashi, “Sugarcane Disease Detection and Classification Using Deep Learning Techniques,” 2025 3rd International Conference on
Communication, Security, and Artificial Intelligence (ICCSAI). IEEE, pp. 246–250, Apr. 04, 2025. doi: 10.1109/iccsai64074.2025.11063737.
T. S. Ruprah, P. K. Jadwal, Mr. V. Mokashi, and A. Gupta, “Deep Learning Techniques for Street Sign Identification in Urban Environments,” 2025 International Conference on Electronics, AI and Computing (EAIC). IEEE, pp. 1–5, Jun. 05, 2025. doi: 10.1109/eaic66483.2025.11101459.
A. Gupta, B. Singh, and H. K. Saini, “Enhancing Crop Resilience to Climate Change with AI,” Studies in Computational Intelligence. Springer Nature Switzerland, pp. 133–151, 2025. doi: 10.1007/978-3-031-93087-4_8.

Book Chapters

A. Gupta, B. Singh, and H. K. Saini, “Enhancing Crop Resilience to Climate Change with AI,” Studies in Computational Intelligence. Springer Nature Switzerland, pp. 133–151, 2025. doi: 10.1007/978-3-031-93087-4_8.