Nishant Yadav
PhD Candidate | Interdisciplinary Engineering
Northeastern University, Boston
nishant@northeastern.edu
nishant.um@gmail.com
Bio
Nishant Yadav is a PhD candidate in the Interdisciplinary Engineering program at Northeastern University, Boston, MA. His research focuses on using machine learning to solve problems in environmental and climate science. He is particularly interested in developing (deep) transfer learning methods for extracting information from remotely-sensed data (e.g., satellite images). Recently his research is focused on unsupervised domain adaptation using adversarial learning techniques. At other times, conversations on networks, and making AI more interpretable and theory-guided keep him excited.
Recent News
[November 2020] Started as Deep Learning Research Intern at NASA Ames, CA.
[September 2020] Work on multilayer network resilience under compound stresses mentioned in Department of Energy news.
[August 2020] Best Student Paper Award at the Data Science for a Sustainable Planet Workshop, 26th SIGKDD Conference, San Diego, CA.