Research Keyword signal processing

Dr. Tsai's current research projects focus on control and optimization, and are aimed at addressing one of the most critical issues in the network today: lack of quality of service (QoS). Dr. Tsai's projects aim at bringing together control and optimization, network protocol and architecture, and computer architecture to increase QoS. His work looks at the concepts of scalability, controllability, observability, functional placement, stability and optimality, which are fundamental to solving the QoS dilemma. The projects also are aimed at producing prototype protocols and systems that can be readily adapted to the networking and computer industry.

Dr. Tsai's work can be applied to most areas of computer networks, storage and computer systems and Internet applications.

Dr. Henry Samueli is Co-Founder and Chairman of the Board of Broadcom Corporation and has served as Chief Technical Officer since the company's inception in 1991. He has over 25 years of experience in the fields of digital signal processing and communications systems engineering and he has published more than 100 technical papers in these areas. Dr. Samueli is a fellow of the IEEE and he received the IEEE Circuits and Systems Society Industrial Pioneer Award in 2000. He is the recipient of the University of California Presidential Medal in 2000, the University of California, Irvine Medal in 2000, and the UCLA School of Engineering and Applied Science Alumnus of the Year Award in 2000. Dr. Samueli was elected to the National Academy of Engineering in 2003 "for his pioneering contributions to academic research and technology entrepreneurship in the broadband communications system-on-a-chip industry." Also in 2003, he was named Distinguished Adjunct Professor in the Department of Electrical Engineering and Computer Science by UCI Chancellor Ralph Cicerone.

His primary research activities involve control theory, random processes and estimation theory, Kalman filtering, digital signal processing, system approximation theory, and neuro-control systems.

Dr. Stubberud has developed a synthesis technique for generating controllers for time-variable feedback systems. He also developed the first algebraic controllability criterion for linear time-variable systems. Dr. Stubberud discovered the singularity structure for linear finite-time terminal value control systems; developed approximation techniques for nonlinear sequential estimators; developed methods of identification and control algorithms using neural networks; and developed approximation theory for stochastic systems.

His work has been applied in the areas of aerospace navigation, guidance and control systems.