Dakai Zhu, Ph.D.
Professor, Department Assistant Chair, and Graduate Advisor of Record
Office: NPB 3.338
Phone: (210) 458-7453
Areas of Specialization
- Dependable and Low-Power Computing
- IoT and Intelligence
- Performance Management in Cloud Computing
- Real-Time Embedded Systems
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
My research is in the general area of systems with the focus on resource management, performance optimization, system modeling, and algorithm design for timing-constrained systems/applications. In particular, I have worked in the areas of real-time embedded systems, cloud systems, parallel and distributed systems and focused on performance, energy, and reliability issues of such systems. Recently, I worked on low-power dependable computing, where an integrated management for energy and reliability were investigated. Moreover, a TIMER-Cloud framework for time-sensitive VM provisioning and a learning oriented user-level profiling-based performance prediction were studied as well. A more recent study focused on resource-constrained machine-learning techniques with the application for intelligent medical IoTs to support smart health and wellness.