Author Archive

Computer science senior Jack Le in the Erik Jonsson School of Engineering and Computer Science  has been named a recipients of the Barry Goldwater Scholarship and Excellence in Education Foundation award.

SaiLakshmi Santhanakrishnan’s Grace Series Talk Celebrates Purpose-Driven Success In the final installment of the spring 2025 Grace Series, SaiLakshmi Santhanakrishnan, head of environmental, social and governance (ESG) and sustainability at Amazech and co-founder of the mentorship platform WeInspire Guru, delivered a powerful and inspiring talk titled “Off-Script: Creating Your Own Path in STEM, Leadership and […]

Computer science senior Jack Le in the Erik Jonsson School of Engineering and Computer Science  has been named a recipients of the Barry Goldwater Scholarship and Excellence in Education Foundation award.

Students Advance in Amazon Challenge A University of Texas at Dallas student team is one of 10 from around the world selected to compete in a new Amazon tournament designed to strengthen the security of software developed with the assistance of artificial intelligence.

Last fall, the Multimodal Interaction (MI) Lab within the computer science department at The University of Texas at Dallas hosted over 60 students for an engaging “Tech Demo Day,” showcasing the lab’s cutting-edge research in multisensory interfaces and immersive user experiences in virtual reality (VR).

Team Enhances AI-Driven Medical Coding Automation Platform CorroHealth Inc., a leader in autonomous medical coding, leverages large language models (LLMs) and natural language processing (NLP) in its PULSE Coding Automation Technology. The platform drives accuracy, efficiency and speed at scale to code for outpatient provider and risk-based payer reimbursements.

Recently, Dr. Zygmunt J. Haas, Distinguished Chair in computer science and professor in the Department of Computer Science in the Jonsson School of Engineering and Computer Science, offered some remarks to help commemorate 30 years of the Association for Computing Machinery (ACM) MobiCom conference, which will be held in Nov. 2024 in Washington, DC. The annual conference serves as the premier international forum addressing networks, systems, algorithms, and applications that support the symbiosis of mobile computers and wireless networks. MobiCom also covers all areas of mobile computing and mobile and wireless networking.

Dr. Jin Ryong Kim and his innovative team at the Multimodal Interaction Lab (MI Lab) have recently garnered acclaim for their groundbreaking advancements in haptic and thermal technologies. Their exceptional contributions have been recognized with several prestigious awards, highlighting their transformative work in these dynamic fields.

At the IEEE Haptics Symposium 2024, Dr. Kim and his students were awarded the Best Demonstration honorable mention for their presentation on “Thermal Masking.” This phenomenon, also displayed at the 2024 ACM Conference on Computer Human Interaction (CHI) in Hawaii, showcases a novel thermal illusion where thermal referral completely masks the original thermal sensation, leaving only the tactile site to register thermal feedback.

Dr. Xiaohu Guo, a computer science professor in the Erik Jonsson School of Engineering and Computer Science at the University of Texas at Dallas, was recently awarded three significant research grants.

These grants, bestowed by the Cancer Prevention and Research Institute of Texas (CPRIT) and the National Institute for Health (NIH), underscore the importance of his work in the field of healthcare. The projects also demonstrate how computer science is evolving into a fundamental discipline, with the potential to address a wide range of health-related issues.

The third installment of the Spring 2024 Grace Series featured data scientist (and proud UT Dallas Computer Science alum) Dr. Maryam Imani, who spoke about “Navigating the Data Science Journey: Insights and Inspirations.”

Dr. Imani earned her PhD in Computer Science at UT Dallas in 2020. During her doctoral studies, Dr. Imani was primarily involved in the Big Data Analytics Lab, working with UT Dallas CS professors Latifur Khan and Bhavani Thuraisingham, focusing her research on areas such as natural language processing (NLP), applied machine learning, and big data.