Department of Computer Science, The University of Texas at Austin

Congratulations to Mina Huh, a Ph.D. student in Computer Science at UT Austin, for earning the prestigious Google Ph.D. Fellowship! Mina’s groundbreaking research in Human-Computer Interaction makes technology more accessible for blind and visually impaired content creators. Her work, including the development of GenAssist, has already earned recognition with a Best Paper Award at ACM UIST 2023. The Google Fellowship will further her contributions and collaboration with Google Research, paving the way for even more impactful innovations. Read more here: https://lnkd.in/ga9EJYE2 #GooglePhDFellowship #HumanComputerInteraction #Accessibility #WomenInTech #UTAustin #Innovation #AI #Research #UTCS

AI Live was an inspiring celebration of innovation, discovery, and community, and we’re proud to have played a role in this campus-wide event. From thought-provoking panels like AI and Us, which explored how AI can improve accessibility, to cutting-edge discussions on autonomous robots and machine learning, UTCS faculty and researchers showcased the transformative impact of AI across industries. As a department, we’re proud to be driving AI innovation at UT and beyond, fostering conversations and breakthroughs that will shape the future of technology. Here’s to the power of collaboration, creativity, and community. What Starts Here Changes the World. Hook 'Em! . . . UTCompSci, Machine Learning Austin, #YearOfAI #AILive

The University of Texas at Austin’s 100% online Master of Science in Artificial Intelligence (MSAI) is transforming careers in AI. Through its flexible, accessible format, the MSAI program equips professionals like Vicky Fowler and Greg White to pivot into high-impact AI roles. With an industry-leading curriculum and hands-on learning, UT Austin is shaping the future of AI talent. Explore how we’re leading the way in AI education: https://lnkd.in/gsratgsm

UT Austin's Harrington Faculty Fellows Program is launching a new AI initiative for the 2025-26 academic year! Selected scholars will receive $75K in research funding, access to one of the largest GPU clusters in academia, and the chance to collaborate with AI experts across campus. Join a community driving AI innovation at UT Austin. Apply by Jan. 6, 2025: https://lnkd.in/g_BZAVEc #AI #Research #HarringtonFellows #UTCS #WhatStartsHere

Unlock the future of AI at AI LIVE, where the UT Computer Science Department is pushing the boundaries of artificial intelligence. Discover groundbreaking research, immersive demos, and game-changing innovations that are shaping the future. Ready to see how AI is transforming the way we live and work? Join us Nov. 13-15 for an event you won’t forget! More info here: https://lnkd.in/gS56kJnY #AIatUT #NextGenTech #RevolutionizingAI #TexasCS #YearofAI

UT Computer Science Associate Professor Etienne Vouga has earned the 2024 Regents' Outstanding Teaching Award for his exceptional classroom performance and innovative approach to teaching. Professor Vouga's commitment to student learning and intellectual curiosity has a lasting impact. His student-centered approach focuses on understanding needs, emphasizing technical skills, critical thinking, and confidence in solving real-world problems. By setting high expectations and offering support, he inspires academic and personal growth, preparing students for success inside and outside the classroom. This prestigious award, presented annually to only 12 faculty members across the UT System, recognizes Professor Vouga's remarkable contributions to education and his students' academic journeys. Read more about his award and teaching philosophy here: https://lnkd.in/gDXtP7ef . . . #TexasCS #TeachingExcellence #RegentsAward #UTNews #UTCompSci #UTCS

We are deeply saddened by the loss of Professor Emeritus E. Allen Emerson, a cherished member of the UT Austin Computer Science Department since the early 1980s. Renowned for his pioneering work in Model Checking, a verification technique that transformed the reliability of complex computer systems, Allen earned the 2007 A.M. Turing Award, the highest honor in computer science, which he shared with Edmund M. Clarke and Joseph Sifakis. He will be fondly remembered as a visionary scholar and mentor whose legacy will continue to shape the future of computer science for generations to come. Remembering E. Allen Emerson: https://lnkd.in/gmkFN5Zb

Alan Baade, a senior Turing Scholar at UT Austin, has published his second research paper titled "Neural Codec Language Models for Disentangled and Textless Voice Conversion." This groundbreaking work introduces a novel architecture that allows for voice conversion without relying on text input, utilizing a new type of semantic unit to a modified Microsoft's Vall-E model. With the potential to transform communication in languages without a written form, the models could pave the way for applications in creative industries, the legal sector, and even voice restoration for those who have lost their ability to speak. Alan's ability to conduct this research stems from the collaborative and innovative environment fostered by the Turing Scholars Honors program. Access to mentorship, advanced resources, and a community of like-minded peers has not only inspired him but also equipped him with the tools to push the boundaries of technology as an undergraduate. Calvin Lin, Director of the Turing Scholars Honors program, emphasizes that this unique support system empowers talented students like Alan to achieve extraordinary outcomes in their research. Read the full story on: https://bit.ly/3LYatJK

At UT Austin, the Deep Proteins group is leveraging artificial intelligence to transform how we design proteins for critical applications in healthcare, from cancer therapies to diabetes management. Co-led by talented researchers Danny Diaz and Adam Klivans, this interdisciplinary team is breaking new ground by combining machine learning with biochemistry, enhancing protein stability, binding affinity, and production efficiency. Their innovative approach aims to accelerate the development of life-saving treatments while reducing costs. “One of the things that makes UT special in this space is that we connect world-class AI researchers with world-class scientists in biochemistry to accelerate biotechnology development, all under one roof,” Klivans said. “Deep Proteins, which develops foundational protein AI tools with an eye towards real-world applications, was designed to be interdisciplinary from the start.” Read the full story at https://bit.ly/3LYatJK . . . . . #MachineLearningLab #IFML #TexasAI #YearOfAI #BiotechnologyInnovation #UTAustin

A research team at UT Austin, led by Professors Daehyeok Kim, Aditya Akella, and Venkat Arun, is pioneering a new framework called Transcraft. This innovative solution aims to simplify the design and implementation of network stacks, addressing the unique challenges posed by high-speed AI workloads. With Transcraft, network architects can expect enhanced adaptability and advanced monitoring capabilities, paving the way for groundbreaking advancements in AI technology. Read the full story here: https://bit.ly/3LYatJK . . . . #TexasAI #YearOfAI #UTCS #ArtificialIntelligence