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Dr. Bayya Yegnanarayana is a distinguished academic with a Ph.D. from the Indian Institute of Science (IISc), Bengaluru. His research spans multiple domains including signal processing, speech signal processing, computer vision, and neural networks. Research Interests: Signal Processing Speech Signal Processing Computer Vision Neural Networks Scientific Awards: Distinguished Professor
دانشیار
Venu Madhav G is an Associate Professor at the Indian Institute of Science (IISc), where he leads the Computer Vision Laboratory. His office is located in Room A 215, and he can be contacted via phone (+91 80 2293 3171) or email. Education Ph.D., University of Maryland, College Park, USA (1999) M.S., Boston University, Boston, USA (1995) B.Tech (Hons), Indian Institute of Technology, Kharagpur (1993) Research Focus His research centers on Computer Vision , with specialized expertise in Geometry in Vision . This includes theoretical and applied aspects of geometric methods in visual computing. Teaching Courses taught in the last five years include: E1 216: Computer Vision E9 245: Selected Topics in Computer Vision Laboratory He directs the Computer Vision Laboratory at IISc, focusing on advanced research in visual computing methodologies.
Venu Madhav Govindu serves as an Associate Professor at the Indian Institute of Science (IISc), Bangalore, where his academic work focuses on geometric foundations and computational methods in visual analysis. His educational qualifications include: PhD from University of Maryland, College Park, USA (1999) MS from Boston University, Boston, USA (1995) BTech (Hons) from Indian Institute of Technology, Kharagpur (1993) Professor Govindu's research centers on Computer Vision and Geometry in Vision, with emphasis on mathematical frameworks for image interpretation. He has consistently taught core courses including Computer Vision (E1 216) and Selected Topics in Computer Vision (E9 245) over the past five years, demonstrating sustained engagement in advancing geometric approaches to visual perception and reconstruction problems. He leads research activities within the Computer Vision Laboratory at IISc, fostering technical innovation in vision algorithms and their theoretical underpinnings.
