|
Videh Raj Nema I am a PhD student advised by Prof. Balaraman Ravindran at the Wadhwani School of Data Science & AI, Indian Institute of Technology, Madras. My research focuses on building an Ātmanirbhara Bhārata in STEM (a self-reliant and strong India). Presently, I work on multimodal machine learning for information synthesis. Further, my research methodology focuses on building intelligent autonomous agents that are compatible (and not necessarily indistinguishable) with humans and other intelligent agencies in a wide range of dynamic environments. Previously, I was a thesis-based MS student at the University of Alberta. I was advised by Prof. Matthew Taylor at the Intelligent Robot Learning lab, where I worked on reinforcement learning with multiple learning agents and humans integrated in a learning loop. I received the UAlberta graduate research fellowship. I completed my undergraduate in computer science and engineering from the National Institute of Technology Karnataka, Surathkal. During undergrad, I did research on reinforcement learning and received the SURF fellowship from Caltech. My research is driven towards achieving the goals of the National vision of Vikasita Bhārata@2047 and the "remaking of Bhārata". AI is a crucial technology and we need to build AI for Bhārata and build Bhārata stronger with AI in a way that is grounded in the Indian culture/values (Bhāratīyatā) and tailored to meet Bhārata's needs and interests. Concurrently, I am also interested in Indian Knowledge Systems (Bhāratīya Jñāna Paramparā) towards the effort of bringing in the "Bhāratīya" way of thought, speech, and action in STEM along with restoring the lost Indian knowledge and applying it in the present context. |
|
ResearchMore about research |
|
Website template from Jon Barron. |