David Pan Receives UCLA Samueli Professional Achievement in Academia Award
Prof. David Z. Pan was named the recipient of the UCLA Samueli Professional Achievement in Academia Award this month.
From Texas ECE to the Cutting Edge of Photonic Computing: Alum Geo Tu and Lightmatter
Geo Tu earned his B.S. in electrical engineering from Texas ECE in 2008. He went on to earn an M.S. in electrical engineering from the University of Southern California in 2010. Now an architect at Lightmatter, Tu is helping develop technology designed to address one of computing’s most pressing challenges: moving enormous volumes of data quickly and efficiently.
Neeraja Yadwadkar Receives Google ML and Systems Junior Faculty Award
Texas ECE assistant professor Neeraja Yadwadkar has been selected to receive a 2026 Google ML and Systems Junior Faculty Award in recognition of the significance and promise of her work in Cloud ML Systems.
Texas ECE Welcomes Kun Woo Cho and Guandao Yang to Faculty
Texas ECE is welcoming two new faculty to the department this Fall. Kun Woo Cho and Guandao Yang are joining the department as assistant professors.
Putting Together a Puzzle of Light
Researchers advanced a promising yet challenging light-based method for imaging large, complex tissue samples.
Texas ECE Alumnus Sanmi Koyejo named one of the TIME Magazine Top 100 People in AI
Texas ECE alumnus Sanmi Koyejo has been named one of the TIME Magazine Top 100 People in AI. Sanmi received his Ph.D. under Prof. Joydeep Ghosh in 2013. He is the co-founder of Virtue AI.
Could This Memory Tech Reduce AI’s Energy Demands?
Texas Engineers teamed up with the world’s largest semiconductor foundry to fabricate and test an emerging memory technology that could help deal with the increasing energy demand of artificial intelligence.
Together with Taiwan Semiconductor Manufacturing Company (TSMC), researchers tested SOT-MRAM, a type of memory that can retain information even when power is off. It uses magnetic properties, making it faster while also consuming less energy than other memory technologies.
Are AI Models Working Harder Than They Need to?
John, a professor of electrical and computer engineering at the University of Texas at Austin, has spent the past five years working on a class of models called weightless neural networks.
Ian Anderson and Team Win Outstanding Poster Award at the 2026 Hilton Head Workshop
Texas ECE PhD student Ian Anderson led a team that won the Outstanding Poster Award at the 2026 Hilton Head Workshop (Solid-State Sensors, Actuators, and Microsystems Workshop), held May 31–June 4 on Hilton Head Island, South Carolina, for their paper on "Enabling Lithium Niobate Phononic Frequency Combs via Thermal Engineering and Design." Ian is part of Prof. Ruochen Lu's research group.
Pan and Li Receive 2026 MARC Academia-Industry Collaboration Excellent Research Award
Prof David Z. Pan and Prof. Sensen Li received the 2026 MediaTek Advanced Research Center (MARC) Academia-Industry Collaboration Excellent Research Award at its MARC Annual Workshop.
