Mr. Tushar Sharma | Lecturer Computer Science and Engineering

• A. Prabhu B P, C. Bhatt, N. Mohd, T. Sharma and M. Singh, “Parkinson’s Disease Detection and Analysis Using Machine Learning,” 2024 Second International Conference on Advances in Information Technology (ICAIT), Chikkamagaluru, Karnataka, India, 2024, pp. 1-6, doi: 10.1109/ICAIT61638.2024.10690837.
• Prabhu, B.P.A., Sharma, T., Taranath, N.L., Dilip, K. (2024). Forecasting Criminal Activity: An Empirical Approach for Crime Rate Prediction. In: Singh, Y., Singh, P.K., Gonçalves, P.J.S., Kar, A.K. (eds) Proceedings of International Conference on Recent Innovations in Computing. ICRIC 2023. Lecture Notes in Electrical Engineering, vol 1194. Springer, Singapore. https://doi.org/10.1007/978-981-97-2839-8_16Prabhu, B.P.A., Sharma, T., Dani, R., Prasad, M.S.G. (2024). A Novel Approach to Video Summarization Using AI-GPT and Speech Recognition. In: Nanda, S.J., Yadav, R.P., Gandomi, A.H., Saraswat, M. (eds) Data Science and Applications. ICDSA 2023. Lecture Notes in Networks and Systems, vol 820. Springer, Singapore. https://doi.org/10.1007/978-981-99-7817-5_16
• A. P. B. P, T. Sharma, R. Dani, M. Singh, A. Rautela and R. Singh, “Exploring the Factors behind COVID-19 Surge: Predictive Modeling and Analysis,” 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), Delhi, India, 2023, pp. 1-5, doi: 10.1109/ICCCNT56998.2023.10307109.

AWARDS/HONORS

Indian Patent 202311054355 – “AN AI ENABLED VIDEO SUMMARIZATION SYSTEM” (Published: Sept 09, 2023) Led the development of the AI-driven Summarization Model that generates concise and coherent video summaries

Mr. Tushar Sharma is a dedicated professional with a strong educational background in Computer Science and Engineering. He currently holds the position of Lecturer in the Department of Computer Science and Engineering at Graphic Era Hill University, Dehradun. Tushar earned his Bachelor’s degree in Computer Science and Engineering from Graphic Era Deemed to be University and is pursuing an M. Tech in the same field at Graphic Era Hill University.

Throughout his academic journey, Tushar has actively participated in various national and international conferences and research projects, demonstrating a commitment to excellence and a passion for advancing technology. His research interests include Machine Learning, Deep Learning, Data Analysis, and Generative AI. He is dedicated to bridging the gap between theoretical knowledge and real-world applications, continually striving to make meaningful contributions to the field of Computer Science.

ORCID ID: 0009-0005-7937-472X

Scopus ID:  59275209900

Vidwan ID:   585628

Google Scholar ID: https://scholar.google.co.in/citations?hl=en&user=9ATcKNwAAAAJ