Vasanth C. Bhagawat is a dedicated researcher specializing in
Deep Learning. He is currently a research scholar pursuing his Ph.D. at Presidency University, Bengaluru, and has completed his Comprehensive Viva Examination. His research interests are centered on advanced computational techniques and artificial intelligence, specifically
Machine Learning, Deep Learning, and Artificial Intelligence. His work is evidenced by several publications and conference presentations. He has a published paper on "Enhancing Skin Cancer Diagnosis through Machine Learning Algorithms" , and another on "Predictive Modeling using Machine Learning and Pattern Classification Approaches for Health Care". He has also presented papers on "Motion-Classification using CNN and LSTM" and "CNN Based Real Time Hand Written Digit Recognition" at international conferences. His M.Phil. research focused on "Digital Image Processing and Parallel Algorithms".
Published Papers:
"Enhancing Skin Cancer Diagnosis through Machine Learning Algorithms" published in the
Journal of Xidian University.
"Motion-Classification using CNN and LSTM" presented at the 2023 International Conference on New Frontiers in Communication, Automation, Management and Security (ICCAMS) and published with IEEE.
"Predictive Modeling using Machine Learning and Pattern Classification Approaches for Health Care – A Review" published in the
International Journal of Scientific Research in Science and Technology.
"Survay on Data Security Issues in Cloud Environment" published in the
International Journal on Innovative Research in Advanced Engineering.
"Number System Based Cryptography scheme to Secure Sharing of Internet Resources" presented at ICIRET at PARK College of Engineering.
Paper Presentations:
Presented a paper titled "CNN Based Real Time Hand Written Digit Recognition" at the International Conference on Next Generation Digital Technologies in January 2024.
Presented a paper titled "Motion Classification Using CNN and LSTM" at the IEEE International Conference on "New Frontiers in Communication Automation Management and Security" in October 2023.