Sugata Banerji

Sugata Banerji is an Associate Professor of Computer Science at Lake Forest College and Director of the Applied Data Center. His research focuses on computer vision, scene understanding, and machine learning, with applications in medical imaging and image retrieval. He holds a PhD in Computer Science from New Jersey Institute of Technology (2013) and a Postdoctoral fellowship in Computer Vision at George Mason University (2013–present). His educational background also includes a BE in Information Technology from West Bengal University of Technology.

Research Interests include image processing, pattern recognition, and novel descriptors for object and scene classification. His work spans deep learning for medical diagnostics, efficient feature extraction methods like EFM-HOG, and geo-localization of buildings using computer vision. He has received the Department of Computer Science Travel Award (2012) and served as a Teaching Assistant (2008–2013).

Key contributions include advancements in HOG descriptor variants (e.g., HaarHOG), color-based feature integration, and solar energy growth modeling. He teaches courses such as Roadmap to Computing with Python and Introduction to Computer Science, emphasizing practical programming and graphics problem-solving.