Wei Wang

Wei Wang is an Associate Professor in the Department of Computer Science at The University of Texas at San Antonio (UTSA), part of the College of Sciences. He holds a Ph.D. in Computer Science from the University of Virginia, an M.S. from the same institution, and a B.Eng. from the University of Science and Technology of China. His research focuses on optimizing performance and energy efficiency in large-scale computing systems, particularly in cloud computing, computer architecture, and software engineering. Key areas include compiler design for memory optimization, non-volatile memory integration, and cloud resource management.

Research interests span applied AI, computer systems (cloud computing, computer architecture, compilers), and software performance engineering. He leads projects on reducing cloud energy consumption through novel memory systems and improving cloud elasticity through machine learning-driven resource allocation. He co-organized the Explore!STEM summer camp to introduce STEM concepts to students with disabilities, emphasizing hands-on AI programming and autonomous driving technologies.

His recent work addresses challenges in cloud 3D rendering efficiency, healthcare monitoring via WiFi, and machine learning applications in geoscience. Teaching responsibilities include courses on computer architecture, parallel programming, and system software design. He pioneered frameworks like CloudBruno for workload prediction and NUMAlloc for NUMA memory optimization, reflecting his focus on practical system-level innovations.