Amit Verma (Ph.D.)
About Amit Verma (Ph.D.)
Amit Verma, Ph.D., is a Computer Vision Research Scientist at DreamVu Inc. in Hyderabad, India, where he integrates deep learning techniques with computer vision to solve complex challenges.
Work at DreamVu
Amit Verma has been employed at DreamVu Inc. as a Computer Vision Research Scientist since 2022. In this role, he focuses on integrating deep learning techniques with computer vision to tackle complex vision challenges. He has contributed to the development of omnidirectional 3D vision systems, utilizing patented optics and visual imaging software. His work aims to enhance the capabilities of 3D vision systems through the application of advanced machine learning algorithms.
Education and Expertise
Amit Verma holds a Doctor of Philosophy (PhD) in Computer Vision, Machine Learning, and Deep Learning from the National Institute of Technology Raipur, which he completed from 2016 to 2021. He also earned a Master of Technology (MTech) in Embedded Systems from Amity University, studying from 2012 to 2014. Additionally, he obtained a Bachelor of Technology (BTech) in Electrical, Electronics, and Communications Engineering from Kruti Institute of Technology and Engineering Knowledge Village, completing his degree from 2008 to 2012. His educational background supports his expertise in integrating deep learning with computer vision.
Previous Work Experience
Before joining DreamVu, Amit Verma worked at Matdun as an Artificial Intelligence/Computer Vision Research Engineer for six months in 2021 and 2022. He also served as an Assistant Professor at Kruti Group of Institutions from 2014 to 2016 and at KL University for seven months in 2021. His roles in academia involved teaching and mentoring students in computer vision and related fields, contributing to his comprehensive understanding of the subject.
Research Contributions
Amit Verma has actively participated in projects aimed at enhancing the capabilities of 3D vision systems through the application of machine learning algorithms. His research contributions focus on addressing complex challenges in computer vision, particularly in the context of omnidirectional 3D vision systems. His work at DreamVu and previous positions reflects a commitment to advancing the field of computer vision through innovative solutions.