The next evolution of computing starts here.
Our CS department is training computer scientists who will advance the frontier of what computing means. We’re concerned with the design, development, modeling, analysis and applications of computer-related systems and related engineering areas – particularly in software systems, algorithmic methods, computer interfaces and physical systems.
To that end, our faculty is actively focused on teaching and research within specialized areas of computer science; particularly the areas of artificial intelligence, computer system architecture & CAD, computational systems biology, graphics and vision, information and data management, network systems, software systems, and computer science theory.
To learn more about our CS department, visit our dedicated site.
UCLA electrical engineering graduate student Glen Meyerowitz is developing a low-cost ventilator in collaboration with medical professionals at UCLA Health.
Bioengineering professor and director of the Makerspace demonstrates laser-cutting face shields and 3D-printing headbands, while electric engineering doctoral student Glen Meyerowitz showcases a ventilator prototype he designed using everyday household materials.
A research team from the UCLA Samueli School of Engineering has demonstrated that a specially designed surface is able to reduce friction from flowing water by nearly a third. This was done in a first-ever successful boat test on open water in Marina Del Rey, California.
With a deluge of patients suffering from COVID-19 expected to flood hospitals in the very near future, UCLA engineers are part of a quickly growing team working to build up supplies of personal protective equipment for health care workers.
Bioengineers at UCLA Samueli School of Engineering and their colleagues have developed and successfully demonstrated a wearable fabric that can harvest and store energy from the sun.
The California High-Speed Rail Authority has awarded a three-year grant to UCLA to create a database of earthquake fault displacements and develop a predictive model to estimate the fault displacements.