The regional magazine has recognized Davis-based company Elve for its pathbreaking efforts to design and produce affordable millimeter wave amplifiers. The company was founded by Diana Gamzina, a three-time mechanical and aerospace engineering alumni at the University of California, Davis.
Relax, recharge and reconnect with fellow engineering alumni.
Join us for shade and snacks, participate in a gyroscope spinning competition and snag some College of Engineering swag. Family members and friends of the college are welcome!
The electrical and computer engineering alumni has received the Aggie Service Award from the Cal Aggie Alumni Association for exemplary Aggie Pride and dedication to UC Davis through personal commitment of time and energy, volunteerism and leadership.
Jeff Reed is an internationally recognized leader in wireless communications. Across his career, Reed’s scientific collaborations and leadership have significantly shaped the planet and its future — and communicate the innovative spirit of Aggie Engineers.
Alumni, faculty, staff, graduate students and university-affiliated guests are invited to participate in our Winter 2025 Final Design Showcase for ENG 003 Introduction to Engineering Design on Monday, March 17, 2025 between 10:30 a.m.-12:30 p.m. in Kemper Hall.
Please RSVP to learn about the exciting new developments in education and research from our students and faculty in the Electrical and Computer Engineering department at UC Davis!
In the Department of Electrical and Computer Engineering at UC Davis, a one-of-a-kind hub for vacuum electronic devices allows a community of researchers to build upon the past to discover the future.
Join us for a virtual edition of Engineering on Tap, where we will explore how the College of Engineering’s Next Level Strategic Vision transforms the student experience and fuels innovation.
The IEEE Computer Society has honored UC Davis alum William M. Tang with one of its highest honors for his seminal contributions to fusion energy research accelerated by high-performance computing and deep learning applications.