The UC Davis professor of biomedical engineering and surgery has been elected to the 2026 class of Biomedical Engineering Society Fellows. The honor is reserved for members who demonstrate outstanding achievement and have made significant contributions to the field of biomedical engineering and the BMES community.
The associate professor of materials science and engineering, received the Best Startup Award for her work as co-founder and head of monitoring, reporting and verification and environmental strategy at Equatic.
The associate professor of computer science is among just five researchers from across the nation to have received the award in support of foundational AI research. Huang aims to give AI agents a way to adapt mid-workflow and prove their plans are safe before acting.
UC Davis researcher Mingwei Zhang will use an NSF CAREER Award to connect atomic arrangements in complex alloys to their mechanical properties, advancing materials for aerospace, energy and other extreme environments.
Two M.D./Ph.D. students with a biomedical engineering focus have been awarded grants from the California Initiative to Advance Precision Medicine. The grants support leading-edge research aimed at improving patient care and advancing health equity.
Professor Michele Barbato co-authored a chapter in the book recognized with a State-of-the-Art Civil Engineering Award by The American Society of Civil Engineers. The award celebrates the most gifted civil engineers who review and interpret scientific and technical information for the benefit of their colleagues.
UC Davis engineers Isaac Kim and Mingwei Zhang were among the recipients of the inaugural awards granted through the U.S. Department of Energy’s Genesis Mission — a national program leveraging artificial intelligence to accelerate breakthroughs in energy, discovery science and national security.
UC Davis students in Cyclone RoboSub are taking their autonomous underwater vehicle beyond the pool, using it to support environmental research in open waters and to educate the next generation of robotics engineers.
Research led by a UC Davis Ph.D. student shows that AI models can maintain response quality while using far less energy on existing hardware. The work received the Best Paper Award at MLSys 2026, a leading machine learning and AI systems conference.
UC Davis students Aidan Guerra and Andres Mino Cortes discuss advancing to the final phase of the 2026 NASA Human Lander Challenge, the lessons they learned from NASA engineers and how the experience is shaping the future of the Aggie Space Initiative.
