Dakai Zhu

Dakai Zhu is a Professor, Assistant Department Chair, and Graduate Advisor of Record for PhD programs in the Department of Computer Science at the University of Texas at San Antonio (UTSA). He holds the Kay and Steve Robbins Faculty Teaching Fellowship Award in Computer Science, reflecting his commitment to education and research excellence. His research focuses on dependable and low-power computing, IoT innovations, real-time embedded systems, and cloud computing performance management.

• Education:
  • Ph.D. in Computer Science, University of Pittsburgh
  • M.E. in Computer Science and Technology, Tsinghua University
  • B.E. in Computer Science and Technology, Xi'an Jiaotong University

Dr. Zhu's work emphasizes sustainable computing frameworks for AI-driven healthcare applications, energy-efficient fault-tolerant systems, and privacy-preserving IoT solutions. His recent research includes real-time health monitoring using wearable sensors (e.g., PPG-based heart rate analysis), cybersecurity for cyber-physical systems, and optimization of embedded systems for assistive technologies like power wheelchair control. He also investigates scheduling algorithms for multiprocessor systems and cloud resource management to enhance reliability and energy efficiency.

His publications span topics from AI-enabled health frameworks to fault-tolerant scheduling strategies, showcasing a blend of theoretical rigor and practical applications. Awards highlight his contributions to teaching and interdisciplinary research bridging computer science with healthcare and embedded systems.