Research Keyword optimization

Henry Lim

Curriculum Vitae

Professor Emeritus

Chemical Engineering and Materials Science

Publications

http://www.eng.uci.edu/files/Henry_Lim_Publications.pdf

Office: ET 816F
Lab: ET 924

Research

http://www.eng.uci.edu/files/Henry_Lim_Research.pdf

Professor Emeritus (Joint Appointment)

Microbiology and Molecular Genetics

Dr. Lim studies bioreaction and bioreactor engineering, modeling, optimization and control of bioreactors, cellular regulation, recombinant DNA technology, and bioremediation.

Dr. Lim's current research projects include a profile optimization and neural network modeling of biological processes that cannot be modeled with equations. This effort involvesÖ He also is modelling lysine fermentation in various bioreactors by incorporating the mass transfer effect, and he is studying the copy number-dependent dynamic behavior of recombinant cells.

Kevin Tsai

Professor Emeritus

Electrical Engineering and Computer Science

Professor Emeritus

Donald Bren School of Information and Computer Science

Dr. Tsai is interested in computer and communication networks and specifically, flow control, routing and traffic management.

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.

Haris Catrakis

Associate Professor

Mechanical and Aerospace Engineering

Office: EG 4218

The research fields of Prof. Catrakis and his students are turbulence, flow dynamics, and multiscale phenomena in general, with emphasis on fundamental aspects of multiscale dynamics, predictability, and optimization. Because turbulence is a widely occurring phenomenon consisting of highly irregular motion across a wide range of scales, the study of turbulence has broad significance across a wide range of multidisciplinary applications such as air, land, sea, and space systems, environmental phenomena, human health, sustainable energy, communications, atmospheric dynamics, ocean dynamics, weather forecasting, as well as global climate change, with turbulence serving as a paradigm of multiscale behavior for complex phenomena.

The research approach of Prof. Catrakis and his students consists of basic theories including testing by computations and visualizations, with emphasis on mathematical methods, physical modeling, variational principles, direct numerical simulations, large-eddy simulations, smoothed particle computing, multiscale visualizations, predictability, and flow optimization. Prof. Catrakis is the recipient of several awards including the National Science Foundation Career Award, the Fitzpatrick Prize in Physics, the Rutty Prize in Mathematics, the Esso Award in Science, the Buhler Award in Aeronautics, the Mager Prize in Engineering, and the Henry Ford Scholar Award. Prof. Catrakis has also been elected Associate Fellow of the American Institute of Aeronautics and Astronautics.

James Bobrow

http://gram.eng.uci.edu/~bobrow/

Professor

Mechanical and Aerospace Engineering

Office: EG 3220
Lab: EG 3132
Lab: EG 3140
Lab: EG 3150

Dr. Bobrow is interested in robotics, dynamics and control of nonlinear systems, and applications of numerical optimization techniques to electromechanical design.

Dr. Bobrow and his group are currently focused on developing algorithms for the optimal design and control of machines. His team has developed a unified formulation of the dynamics of branched kinetic chains to accomplish this goal. Current applications include legged locomotion systems and human walking rehabilitation.

Dr. Bobrow also is working with fluid-powered actuators to achieve high-bandwidth control. He uses modern nonlinear control theory to show that such actuators rival the dynamic performance of electric motors with much lower weight and less cost. Applications of this research include a pneumatic robot and a high-performance, low-cost personal vehicle simulator.

In another project, Dr. Bobrow is trying to achieve maximum shock isolation and damping from a reset-able actuator. His group has developed a simple, nonlinear device that achieves damping characteristics similar to rate-dependent dampers, but is only dependent on position, therefore causing smaller forces to be transmitted to the vibrating payload.

Allen Stubberud

Professor Emeritus

Electrical Engineering and Computer Science

Office: EH 3225

Dr. Stuberud is interested in control systems, digital signal processing, estimation and optimization.

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.