Horiuchi, Timothy | A. James Clark School of Engineering, University of Maryland

Faculty Directory

Horiuchi, Timothy

Horiuchi, Timothy

Associate Professor
Electrical and Computer Engineering
The Institute for Systems Research
Maryland Robotics Center
2231 A.V. Williams Bldg.

Dr. Horiuchi earned both his B.S. in Electrical Engineering in 1989 and his Ph.D. with Prof. Christof Koch in Computation and Neural Systems in 1997 at the California Institute of Technology.  His Ph.D. work focused on the design of analog VLSI circuits that mimic the neural circuits underlying saccadic eye movements in the primate. This work included the design of visual processing chips, auditory localization chips, non-volatile floating-gate learning, motor control, and attentional processing.  He went on to do his postdoctoral work with Prof. Ernst Niebur in the Zanvyl Krieger Mind/Brain Institute at the Johns Hopkins University.

Dr. Horiuchi joined the University of Maryland faculty as an Assistant Professor in 1999 as a part of the microelectronics group in the Electrical and Computer Engineering Department. He is a co-director of the Computational Sensorimotor Systems Laboratory and is a member of the Neurosciences and Cognitive Sciences Program at the University of Maryland. Dr. Horiuchi is one of the directors of the annual Telluride Neuromorphic Engineering Workshop and is involved in the growth of this international research community. He is also a member of the IEEE.

Dr. Horiuchi has had diverse experience in industrial research, having served with many companies (Hughes Aircraft, Boeing, IBM, Hewlett-Packard, Tanner Research) during his educational period.

Dr. Horiuchi's general research interests are in computational neuroscience and the implementation of neural circuit architectures in VLSI-based processors. The applications of interest center around the coordination of complex sensory processing and control of motor systems. He has been involved in the development of analog VLSI chips that perform auditory and visual localization, implement non-volatile, on-chip analog memories, and control small mobile robotics. He is also involved in efforts to improve the tools and techniques used in neurophysiology. His current focus is the understanding of the bat echolocation system.

Honors and awards

Elevate Fellow, University of Maryland, 2019

ISR Outstanding Systems Engineering Faculty Award, University of Maryland, 2004

NSF Faculty Early Career Development (CAREER) Award for "Adaptive Neuromorphic VLSI for Improving Accuracy and Precision: Modeling Attention for Bat Echolocation," 2004

 

Bat echolocation; computational neuroscience; learning systems; neuromorphic VLSI design; constrained optimization circuits; mobile robotics; neural recording and spike-sorting techniques and tools


New AFOSR NIFTI Center features eight Clark School faculty

Center will create bio-inspired solutions for small, remotely operated aircraft.

Fair Showcases Summer Undergraduate Research

Twenty-two top students from across the country demonstrate faculty-advised research projects.

Horiuchi, Moss Receive $1.5M NSF Grant

Research into bat sonar calls could aid in robotics, assistive device design.

Fair Showcases Undergrad Summer Research

Students present their summer research accomplishments at annual MERIT/TREND fair.

Horiuchi, Humbert Developing Bio-Inspired Navigation

PANOPTIS uses echolocation and optic flow sensors for micro air vehicles.

Intelligence Community Honors Undergrad Scholars

Two Clark School undergraduates recognized.

IEEE Spectrum Cites "Leading Labs"

Clark School faculty laboratories advance “neuromorphic engineering.”

Five Clark School Faculty Receive National Science Foundation Early CAREER Awards

Five Clark School faculty received National Science Foundation Faculty Early CAREER Awards.

Team of Researchers Awarded Four-Year Grant under the Collaborative Research in Computational Neuroscience (CRCNS) Program

A team of researchers from the Clark School and two other UMD colleges were awarded a four-year grant under Collaborative Research in Computational Neuroscience program.