Hi! I’m Sandeep Nagar, a final year PhD student in the Machine Learning Lab at IIIT Hyderabad. I am also a RA at University of Leicester with Dr Mervyn Thomas on Deep Learning for Ophthalmology. Previously, I have completed research internships at the Computer Vision and Robotics Laboratory, University of Illinois at Urbana-Champaign (UIUC) Champaign, IL, under the guidance of prof. Narendra Ahuja in collaboration with Dr David Beiser at College of Medicine at University of Illinois Chicago. I have also completed a research internship at the School of Mathematics and Statistics, University of New South Wales (UNSW) Sydney, Australia, under the guidance of Prof Rohitash Chandra and Dr. Ehsan Farahbakhsh in collaberation with School of Geosciences, The University of Sydney, Australia. Prior to beginning my PhD studies, I received my undergraduate degree in Computer Science Engineering from the Harcourt Butler Technical University, Kanpur, India.
As a PhD student in the field of machine learning and computer vision, my research focuses on generative models, specifically normalizing flows. Within this area, I am interested in exploring the potential applications of these techniques in both artificial intelligence and health care.
Throughout my studies, I have had the opportunity to work with a range of data sets and methods, including both traditional machine learning approaches as well as more recent deep learning techniques. My goal is to use my skills and knowledge to make meaningful contributions to these fields, with a particular focus on developing novel methods and approaches that can have a real-world impact.
In addition to my research, I am also passionate about sharing my knowledge and experience with others. Whether through teaching, mentoring, or public speaking, I strive to inspire and engage others in the exciting world of machine learning and artificial intelligence.
My research interests lie at the intersection of machine learning and computer vision, with a focus on generative models. I am particularly interested in using AI to advance scientific discovery and improve healthcare outcomes. Specifically, I am keen to explore the potential of machine learning and computer vision techniques to model complex data and extract meaningful insights that can inform decision-making in science and health.
I received my undergrad from the Harcourt Butler Technological University Kanpur.
I have a diverse academic background, incorporating disciplines such as computer science, information science, social psychology, and organization/management science with fields including philosophy, sociology, anthropology, and the history of science and technology. My academic focus is centered on Science and Technology Studies, Computer-Supported Cooperative Work, and new media/internet studies.