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# Furong Huang

## Assistant Professor

Email: furonghcs[.dot.]umd[.dot.]edu
Phone:
(301) 405-8010
Location:
IRB 4124
Website:
http://furong-huang.com
Google Scholar:
13yyuCcAAAAJ
Twitter:
@furongh
Appointments:
CS, UMIACS, ECE, AMSC
Research Areas:
Algorithms and Theory, AI and Robotics, Machine Learning and Data Science
Interest Areas:
machine learning, reinforcement learning, graph learning, transfer learning, deep learning theory

## Biography

Dr. Furong Huang is an Assistant Professor of the Department of Computer Science at the University of Maryland. Her research focuses on machine learning, high-dimensional statistics, non-convex optimization, spectral methods, reinforcement learning and deep learning theory.

The thesis of Dr. Huang’s research is to understand the foundations of deep learning under distribution shifts, adversarial perturbations and non-iid data. Through the investigation of principled methods that address the modern challenges in applying ML to real-world application, Dr. Huang’s group expands the scope of deep learning model design for learning in constrained edge clients and on graph data.

## Honors and Awards

Year | Type | Org. | Name
--- | --- | --- | ---
2022 | Award |  | JP Morgan Faculty Research Award
2021 | Award |  | Best Paper Best Paper Award at Safe and Robust Control of Uncertain Systems, NeurIPS 2021.
2020 | Award |  | JP Morgan Faculty Research Award
2019 | Award | NSF | CISE CRII
2019 | Award |  | JP Morgan Faculty Research Award
2017 | Award |  | Adobe Faculty Research Award