News

Jaydeep Kulkarni, associate professor in the Chandra Family Department of Electrical and Computer Engineering, has been elevated to a Fellow of the Institute of Electrical and Electronics Engineers (IEEE) for 2026 for "for contributions to low-power SRAM and compute-in-memory circuit technologies."

Researchers in the Chandra Family Department of Electrical and Computer Engineering at The University of Texas at Austin have demonstrated a breakthrough in transistor design that reduces leakage current in very small geometry transistors by more than a factor of 10. Very low current leakage is a key requirement in these transistors.

Texas ECE graduate student Peihao Wang has received a 2025 Google PhD Fellowship in Machine Learning and ML Foundations.

A new study from the University of Texas at Austin, Texas A&M, and Purdue University shows that large language models fed a diet of popular but low-quality social media content experience a kind of “brain rot” that may be familiar to anyone who has spent too long doomscrolling on X or TikTok.

Texas ECE Ph.D. student Peihao Wang was named a Rising Star in Data Science by Stanford Data Science.

A research team led by Professor Radu Marculescu and PhD student Md Mostafijur Rahman in the Chandra Family Department of Electrical and Computer Engineering have made great strides in the medical imaging community with a string of influential papers that dramatically improve the efficiency and accuracy of AI-powered image segmentation.

A new cancer treatment combines LED light and tiny tin flakes to neutralize cancer cells while shielding healthy cells and avoiding the painful side effects associated with chemotherapy and other treatments.

Texas ECE assistant professor Neeraja Yadwadkar has been selected to receive an inaugural 2025 Google ML and Systems Junior Faculty Award in recognition of the significance and promise of her work in Cloud ML Systems.

Zhangyang “Atlas” Wang, associate professor in the Chandra Family Department of Electrical and Computer Engineering, is part of a team that has been awarded a research grant from the National Science Foundation through the Artificial Intelligence, Formal Methods, and Mathematical Reasoning (AIMing) program.

Texas ECE assistant professors Shwetadwip Chowdhury and Hyeji Kim have been selected to receive a Faculty Early Career Development (CAREER) Award from the National Science Foundation (NSF). The award is the most prestigious offered by NSF’s CAREER Program, providing up to five years of funding to junior faculty members who exemplify the role of teacher-scholars through outstanding research, excellent education and the integration of education and research within the context of their organizations’ missions.