معرفی
Zhenhua Liu is an Assistant Professor in the Department of Applied Mathematics and Statistics at Stony Brook University, with affiliations to the Department of Computer Science and the Smart Energy Technology Cluster. He joined Stony Brook in 2014 and was on leave in 2014-2015 for the ITRI-Rosenfeld Fellowship at Lawrence Berkeley National Laboratory. His research focuses on sustainable computing systems, cloud platforms for big data, energy management, and renewable energy integration. He holds a Ph.D. in Computer Science from the California Institute of Technology (Caltech), advised by Prof. Adam Wierman and Prof. Steven Low, and prior degrees from Tsinghua University and Peking University.
His research interests span distributed algorithms, convex optimization, game theory, quantum networks, and energy-efficient computing. He develops theoretical frameworks and practical systems to address challenges in data centers, edge computing, and renewable energy integration. Notably, his work emphasizes rigorous analysis combined with system design to achieve real-world impact.
His publications from 2023-2024 highlight advancements in distributed deep learning optimization, quantum entanglement routing, energy-aware edge computing, and sustainability metrics for data centers. These contributions reflect his interdisciplinary approach to solving complex problems at the intersection of computing, networking, and energy systems.
- Awards & Honors: Computerworld Honors Laureate, Best Paper Awards in International Green Computing Conference and ACM GreenMetrics, ITRI-Rosenfeld Fellowship, and multiple academic recognitions.
- Education:
- Ph.D. in Computer Science, Caltech (2014)
- M.S. in Computer Science & Technology, Tsinghua University (2009)
- B.E. in Measurement & Control, Tsinghua University (2006)
- B.S. in Economics, Peking University (2009)
