Host City India: Pittsburgh

Rishiraj Adhikary

Mr. Rishiraj Adhikary is a Ph.D. student at the Computer Science Department, Indian Institute of Technology (IIT) Gandhinagar, Gujarat. His research interest is in human-computer interaction, ubiquitous computing and sensor-enabled embedded systems that can impact healthcare delivery or pave the way towards making healthcare more accessible. His current research focuses on retrofitting consumer-grade masks with sensors to detect lung health. His prior work has also studied the perception of people around air pollution to aid in risk communication.

During his Fulbright-Nehru Fellowship, he will study how contexts like human activity can be leveraged to implement opportunistic sensing techniques in smart masks. Successful research on context sensing will pave the way to preserve privacy and reduce the energy consumption of a smart face mask.

Mr. Adhikary received his B.Tech. (Electronics and Communication Engineering) from Gauhati University, Assam, where his capstone project was recognised as the best project. He has successfully conducted events targeting school children in the past where he has demonstrated prototyping tools to help students understand the basics of electronics. He also takes a keen interest in teaching undergraduate and school students.

Vineeth N Balasubramanian

Dr. Vineeth N Balasubramanian is an Associate Professor in the Department of Computer Science and Engineering at the Indian Institute of Technology, Hyderabad (IIT-H), and currently serves as the Head of the Department of Artificial Intelligence at IIT-H. His research interests include deep learning, machine learning, and computer vision. His research has resulted in many publications in several top conferences and journals including ICML, CVPR, NeurIPS, ICCV, AAAI, TPAMI, etc. His Ph.D. dissertation at Arizona State University on the Conformal Predictions framework was nominated for the Outstanding Ph.D. Dissertation at the Department of Computer Science. His recent awards include: Best Paper Awards at CODS-COMAD 2022, CVPR 2021 workshops on Causality in Vision and Adversarial Machine Learning; Teaching Excellence Awards at IIT-H in 2017 and 2021; Google Research Scholar Award (earlier known as Google Research Faculty award) in 2020; Outstanding Reviewer Awards at ICLR 2021, CVPR 2019, ECCV 2020. For more details, please see https://iith.ac.in/~vineethnb/.

During his Fulbright-Nehru Research Fellowship, Dr. Balasubramanian aims to work towards developing trustworthy machine learning models that are implicitly imbued with causal reasoning capabilities. In particular, he plans to understand and develop methods for causal generative mechanisms in real-world data, and bring together perspectives of causality and robustness into explanations of deep neural network models.

Shibayan Roy

Dr. Shibayan Roy is an Assistant Professor in the Materials Science Center of Indian Institute of Technology (IIT)-Kharagpur, West Bengal since 2015.

Previously, Dr. Roy was a postdoctoral research associate at Materials Science and Technology Division in Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA from November 2013 to October 2015. He is the recipient of the R&D 100 award (2017) from R&D Magazine, USA as a part of the research group from ORNL.

Dr. Roy also worked as a postdoctoral researcher at the Institute of Materials Science and Engineering (IWW), Department of Mechanical Engineering, Chemnitz University of Technology, Germany from February 2012 to September 2013. He obtained his Ph.D. degree from the Department of Materials Engineering, Indian Institute of Science (IISc), Bangalore in November 2011. He also received the K.P. Abraham Gold Medal for Best Doctoral Thesis from IISc and the Student Innovative Thesis Award (Doctoral level) from the Indian National Academy of Engineering (INAE) in 2012, in recognition of his doctoral thesis.

Through the Fulbright-Nehru Academic and Professional Excellence Award (Research and Teaching) project, Dr. Roy aims for an in-depth characterization of coherency and orientation relationship as well as atomistic structure and remnant dislocations at α/β interfaces for different α-colony orientations after secondary TMP and additive manufacturing (AM) of two-phase Titanium alloys. His work also establishes an interrelation between these attributes of α/β interface and spheroidization response of different α-colony orientations in the course of secondary TMP and AM.

Debasish Borah

Dr. Debasish Borah is an Associate Professor in the Department of Physics, Indian Institute of Technology (IIT) Guwahati. He obtained his MSc-PhD dual degree from IIT Bombay in 2012 and subsequently worked as an Assistant Professor in the Department of Physics, Tezpur University before joining IIT Guwahati in 2015. He has received several awards, including the Canadian Commonwealth Fellowship, Young Scientist Medal from the Indian National Science Academy (INSA), Young Scientist Award from the National Academy of Sciences, India (NASI) and the Government of Assam, India among others.

Dr. Borah’s research interest lies in the area of dark matter (DM), baryon asymmetry of the universe (BAU) and the origin of neutrino mass which cannot be explained by the standard model (SM) of particle physics, motivating the need for beyond standard model (BSM) physics. During his Fulbright-Nehru Academic and Professional Excellence fellowship, Dr. Borah is planning to study different BSM scenarios explaining the origin of BAU with the aim of probing them at ongoing and future colliders through conventional and new search strategies. He also plans to find synergy among collider probes and several indirect detection prospects at gravitational wave and cosmology experiments.