Your academic career begins with a tour.
The Engineering Ambassador program is pleased to offer tours for prospective engineering students and visitors to explore the UCLA Samueli School of Engineering. Visitors will be able to tour the Engineering and Physical Science buildings and interact directly with current Engineering undergraduate students to learn more about the school and its programs. Each of the tours will last approximately one hour with visits to labs, information about our over 30 engineering organizations, and our student-led projects.
INDIVIDUALS OR FAMILIES (5 OR FEWER)
Sign up for a tour by UCLA Samueli Tours. If you’re a first-time user, you’ll have to create an account. Tours must be made at least 48 hours in advance, and at most 30 days in advance.
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.