معرفی
Tong (Tony) Geng is a tenure-track Assistant Professor in both the Department of Electrical and Computer Engineering and the Department of Computer Science at the University of Rochester. He serves as the director of UR's IntelliArch Lab and previously worked in the Physical and Computational Sciences Directorate at Pacific Northwest National Laboratory (PNNL), a U.S. Department of Energy facility. His research focuses on interdisciplinary areas combining computer architecture, systems, machine learning, graph learning, AI acceleration, and high-performance computing.
Education:
- PhD in Electrical and Computer Engineering, Boston University (2020)
Research Interests: Tony's work bridges computer architecture with advanced computational techniques, emphasizing energy-efficient systems design for AI and high-performance computing. He explores graph learning algorithms and their hardware-software co-optimization, aiming to accelerate machine learning workflows. His research also addresses scalability challenges in computational systems and the intersection of architecture with machine learning models.
Advising & Grants: While actively advising students in ECE and CS departments, specific advisee names or grant details are not provided. His contributions include over 50 publications in top-tier venues such as MICRO, HPCA, OSDI, AAAI, CVPR, DAC, SC, TPDS, TC, and TIP.
Labs & Teams: Directs the IntelliArch Lab at the University of Rochester, which focuses on intelligent architecture design and systems optimization for AI and high-performance computing applications.
