Tong (Tony) Geng
Assistant Professor of Electrical and Computer Engineering and Computer Science | University of Rochester
Rochester, NY, UNITED STATES
Geng is an expert in artificial intelligence foundations and applications in many fields
Areas of Expertise (6)
Artificial Intelligence and Brain-Inspired Intelligence
Artificial Intelligence and Computer Systems for Efficiency and Sustainability
Artificial Intelligence and Energy
Artificial Intelligence and Physics and Nuclear Fusion
Graph Learning
High-Performance Computing
Links (2)
Biography
Dr. Tony Geng is a tenure-track assistant professor in the departments of Electrical and Computer Engineering and Computer Science, and has a secondary appointment in the Goergen Institute for Data Science and Artificial Intelligence. He is also the director of the university's IntelliArch Lab.
His research interests are at the intersection of computer architecture and systems, machine learning, graph learning, artificial intelligence (AI) acceleration, and high-performance computing. Tony has published more than 50 papers, many of which have appeared in prestigious conferences and journals.
Education (3)
Boston University: PhD, Computer Engineering
Eindhoven University of Technology: MS, Electronic Systems
Zhejiang University: BE, Electronic Engineering and Information Technology
Selected Media Appearances (2)
Researchers developing tool to instantly conceal and anonymize voices
University of Rochester online
2024-12-05
The voice-changer system will produce computer-generated speech within milliseconds, allowing users to control factors like age, gender, and dialect. “In the end, a 30-year-old woman from Texas will be able to instantaneously transform her voice to be output by the virtual speaker to sound like a 50-year-old man with a British accent, for example, without producing artifacts that can be traced back to the identity of the user,” says Zhiyao Duan.
Audio deepfake detective developing new sleuthing techniques
University of Rochester
2023-11-09
A National Institute of Justice fellowship allows a Rochester graduate student to develop novel defenses against deepfake scams under the guidance of Zhiyao Duan.
