The laboratory of Dr. Manel Camps uses molecular genetic and computational approaches to study the biological consequences of random changes in genetic information mutations) that occur spontaneously or as a result of environmental insults. They couple the generation of random mutant libraries with specific selections or screens to study the functional impact of point mutations and to establish how genes evolve in response to selective pressure.
He received his B.Sc. in Computer Science and Theoretical Physics from Adelaide University in South Australia, 1979, a B.E. (Hons) in Electrical Engineering, Adelaide University, 1980, an M.S. and a Ph.D. from M.I.T, 1983 and 1987, respectively. He joined the faculty of EECS in 1987. He is the author of “A Variational Approach to Edge Detection” and the creator of the widely used Canny edge detector.
Professor Carey is widely recognized for his research on near-interface micro-scale phenomena, thermophysics and transport in liquid-vapor systems, and computational modeling and simulation of energy conversion and transport processes.
Jose M. Carmena is an Assistant Professor of Electrical Engineering, Cognitive Science, and Neuroscience at the University of California, Berkeley, and Co-Director of the Center for Neural Engineering and Prostheses at UC Berkeley and UCSF. His research program in neural engineering and systems neuroscience is aimed at understanding the neural basis of sensorimotor learning and control, and at building the science and engineering base that will allow the creation of reliable neuroprosthetic systems for the severely disabled.
Stefano Carpin received his “Laurea” (MSc) and Ph.D. degrees in electrical engineering and computer science from the University of Padova, Italy in 1999 and 2003, respectively.
From 2003 to 2006 he held faculty positions with the International University Bremen, Germany.
Since 2007 he has been with the School of Engineering at UC Merced, where he established and leads the UC Merced robotics laboratory, and he currently serves as chair of the graduate program in Electrical Engineering and Computer Science.
Miguel Á. Carreira-Perpiñán is a professor in Electrical Engineering and Computer Science at the University of California, Merced. He received the degree of “licenciado en informática” (MSc in computer science) from the Technical University of Madrid in 1995 and a PhD in computer science from the University of Sheffield in 2001.
Carter’s lab at UCSC focuses on energy-related research, including photovoltaics (solar cells), solid-state lighting, and luminescent solar concentrators.
Copyright law, open source and free software, technology and innovation policy
Applied research to improve the health and exercise performance of active individuals. Current research projects include optimizing exercise training and performance in competitive athletes, the effects of exercise on the treatment of depression, effects of estrogen on knee osteoarthritis, the effects of oral contraceptives on bone health and exercise performance, ACL injury prevention programs, sports nutrition and metabolism.
Prof. Castro is a Faculty Member of the Peter A. Rock Thermochemistry Laboratory & NEAT ORU and its research fields can be basically divided in three areas:
· Thermochemistry of Nanosintering:
26 Projects Awarded $5.4 Million to Accelerate Artificial Intelligence Research for COVID-19 Mitigation Across Medicine,...
Proposals for CITRIS/Tec de Monterrey teams due July 15 In March 2020, to respond to COVID-19, CITRIS issued a special call...
The human rights abuses we have all witnessed over the past few weeks have been devastating. We grieve with the families and...