Computer Engineering Professor and former Chair Liwen Shih at University of Houston - Clear Lake specializes in smart optimized mapping between hardware and software.

Professor Shih regularly teaches Quantum Computing, Bio-Inspired AI, Artificial Neural Network/Machine Learning, High Performance Computing Architecture, Heterogeneous Computing, and research projects.

Dr. Shih is DoE Visiting Research Faculty at Oak Ridge National Laboratory 2023 and Lawrence Berkeley National Laboratory and Research Affiliate since 2021, an XSEDE/TeraGrid Campus Champion since 2009 and inaugural XSEDE CC Fellow for CyberShake 2013, Fulbright Computer Specialist of US Department of State, and Lekkos Endowment Research Faculty Fellow.

Dr. Shih has a Ph.D. in Computer Engineering & Science from Case Western Reserve University directly after her BS degree in Computer Engineering from National Chiao Tung University in Taiwan.

Dr. Shih has contributed globally as invited keynote/featured/panel speaker in Japan, India, Turkey, China, Canada, Pacific Northwest National Laboratory, U.S. Department of Energy, University of Texas Medical Branch, Texas Medical Center, etc.

Professor Shih is dedicated to the emergence of next generation of super-computing with focus in Adaptive Solution Optimization via Quantum/Vector Annealing, HPC, Topology-Aware, Latency-Adaptive, Load-Imbalanced, Self-Organized Scheduling, & Bio-inspired AI.

Dr. Shih's current scope expands on Quantum Optimization, Composable FPGA/GPU/IPU/TPU/QPU/VE/DPU/DSP/ASIC-accelerated Heterogeneous Computing, Complex Bioinformatics, Adaptive Image Processing, Computer–Aided Diagnosis, Material Design, Tele/Mobile-Operation, Space Radiation/Debris, Proactive Functional Health (fitness, nutrition, aging and immunity), Seismic Earthquake Wave Propagation, Sustainable Green Ecosystem, Low-Impact Permaculture, and tackling other complex Biomed, Aerospace, Seismic, Energy, Environment, Social and Engineering challenges.