Researchers from The University of Texas at Austin developed synaptic transistors for brain-like computers using the thin, flexible material graphene. These transistors are similar to synapses in the brain, that connect neurons to each other.
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His tremendous efforts over the last 15 years of university-wide service were recognized by the university with the Civitatis Award. The Civitatis Award was established in 1997 to recognize outstanding faculty citizenship. It is conferred upon a member of the UT faculty in recognition of dedicated and meritorious service to the university above and beyond the regular expectations of teaching, research and service.
Jerry A. Yang is a PhD student in electrical engineering at Stanford University. He received his BS in electrical engineering from The University of Texas at Austin in 2020.
Researchers at The University of Texas at Austin and Texas A&M University have developed an electronic tattoo that can be worn comfortably on the wrist for hours and deliver continuous blood pressure measurements at an accuracy level exceeding nearly all available options on the market today.
An international team led by researchers at The University of Texas at Austin has developed components that will allow future devices to achieve increased speeds necessary for such a technological jump.
Professors Lizy John and Jaydeep Kulkarni, along with PhD students Aman Arora, Tanmay Anand, Aatman Borda, Rishabh Sehgal, and Bagus Hanindhito, received the Best Paper Award at the 2022 IEEE Symposium on Field-Programmable Custom Computing Machines.
Every semester some Texas ECE courses have competitions to showcase the projects that they worked on during the semester.
Texas ECE PhD student Tianlong Chen has been awarded a 2022 Adobe Research Fellowship. Chen is one of only 10 Fellows for 2022.
Jon Tamir of Texas ECE has been named among the inaugural cohort of Oracle Research Fellows.
Texas ECE is proud to welcome the three newest members of the Academy of Distinguished Alumni of the Department of Electrical and Computer Engineering at The University of Texas at Austin.