About

Sudarshan Ramenahalli is an experienced Computer Vision Scientist/Engineer with a PhD from Johns Hopkins University and over 18 years of relevant experience. He has a strong educational background, having completed his Bachelor of Engineering in Electrical, Electronics and Communications Engineering from Vishveshwaraiah Technological University in 2004, followed by a Masters in Electrical Engineering with a focus on Signal and Image Processing from Auburn University in 2009. He then went on to pursue his Doctor of Philosophy (PhD) in Electrical, Electronics and Communications Engineering from Johns Hopkins University, which he completed in 2018. Sudarshan has worked as a Research Scientist in the field of Computer Vision, with a focus on developing algorithms for image and video analysis. He has also worked as a Research Scientist at UC Berkeley/ICSI, where he was involved in developing algorithms for speech recognition and natural language processing. His technical expertise includes computer vision, machine learning, deep learning, and image and video analysis. With his strong academic background and extensive experience in the field of Computer Vision, Sudarshan is a valuable asset to any organization working in this area. He is passionate about developing innovative solutions to complex problems and is always looking for new challenges to push the boundaries of what is possible.