About Me

Prashanth B.S. is an Assistant Professor and Research Scholar in the Department of Information Science and Engineering at Nitte Meenakshi Institute of Technology (NMIT), Bangalore, India. He is currently pursuing a Ph.D. with a focus on "Detecting and Localizing Model Decay due to Concept Drift in Deep Neural Networks." His academic journey includes an M.Tech from Bapuji Institute of Engineering and Technology and a B.E. from Jawaharlal Nehru National College of Engineering.

With a robust foundation in computer science, Prashanth's research interests encompass machine learning, artificial intelligence, and blockchain technology, emphasizing adaptive systems and predictive accuracy in dynamic environments. His scholarly contributions are substantial, with over 35 publications, including peer-reviewed journal articles, conference papers, and book chapters. Notable works include studies on IoT-driven automation, COVID-19 data analysis, and advancements in deep learning. 

Prashanth has actively participated in various funded projects, such as developing algorithms for clinical feature extraction and pattern recognition, supported by the Vision Group of Science and Technology (VGST), Karnataka. His technical proficiency spans Python, Java, machine learning frameworks like PyTorch and TensorFlow, and web technologies, bridging the gap between academic research and practical applications.

His dedication to impactful research is further evidenced by multiple best paper awards at national and international conferences. Prashanth's collaborative efforts are highlighted through co-authorship with esteemed researchers and contributions to interdisciplinary studies, reinforcing his commitment to advancing the field of computer science.