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# Tom Goldstein

## Professor

## Volpi-Cupal Endowed Professor

Email: Contact Form
Phone:
(301) 405-0053
Location:
IRB 4144
Website:
http://www.cs.umd.edu/~tomg
Google Scholar:
KmSuVtgAAAAJ
Twitter:
@tomgoldsteincs
Education:

- PhD, UCLA, 2010
- BA, Washington University, 2006

Appointments:
CS, UMIACS, ECE
Research Areas:
AI and Robotics, Computer Vision and Machine Perception, High Performance and Scientific Computing, Machine Learning and Data Science
Interest Areas:
Optimization, machine learning, computer vision

## Biography

Tom Goldstein is the Perotto Associate Professor of Computer Science at University of Maryland. His research lies at the intersection of machine learning and optimization, and targets applications in computer vision and signal processing. He works at the boundary between theory and practice, leveraging mathematical foundations, complex models, and efficient hardware to build practical, high-performance systems. He design optimization methods for a wide range of platforms ranging from powerful cluster/cloud computing environments to resource limited integrated circuits and FPGAs. Before joining the faculty at Maryland, Tom completed his PhD in Mathematics at UCLA, and was a research scientist at Rice University and Stanford University. Tom have been the recipient of several awards, including SIAM’s DiPrima Prize, a DARPA Young Faculty Award, a JP Morgan Faculty Award, an Amazon Research Award, and a Sloan Fellowship.

## Honors and Awards

Year | Type | Name
--- | --- | ---
2017 | Fellowship | Sloan Research Fellowship