Dr. Bhavani Thuraisingham recently received the prestigious IEEE Computer Society’s Impact Award from the Technical Committee on Multimedia Computing (TCMC) for her groundbreaking research in secure multimedia data systems. This award is usually presented at the annual IEEE Computer Society MIPR (Multimedia Information Processing and Retrieval) conference. This year, the conference took place in San Jose, CA, on Aug. 8, 2024. She is the first woman to receive this highest technical award from the TCMC.
Category: Professor
Dr. Bhavani Thuraisingham Receives a Pair of Prestigious IEEE Awards

Empowering Robots to Assist Humans: Dr. Yu Xiang Works with UTD Students and Summer Campers to Advance Robots’ Autonomy

Dr. Yu Xiang leads the Intelligent Robotics and Vision Lab (IRVL) in the department of computer science in the Erik Jonsson School of Engineering and Computer Science at the University of Texas at Dallas.
The lab focuses on fundamental research in intelligent robotics and computer vision, and Dr. Xiang considers the scientific question: How can robots conduct tasks autonomously in the physical world to assist humans? For example, he is interested in building robots that can cook a meal or clean a kitchen table for people.
How the Region’s Top Innovators Are Using AI and ML to Solve Business Challenges

The new age of AI and machine learning is reminiscent of the level of buzz and activity the region saw in the late 1990s and early 2000s for telecom, networking, and the World Wide Web. So says Dr. Gopal Gupta, professor of computer science in the Erik Jonsson School of Engineering and Computer Science, Erik […]
AI revolution is set to change how work gets done in 2024 — and who is doing it

AI, or artificial intelligence, grabbed the attention of every industry in 2023, creating hope for easier, more streamlined work processes and stoking fear that the technology could advance enough to replace employees. “Accuracy cannot be guaranteed,” said Dr. Gopal Gupta, professor of computer science in the Erik Jonsson School of Engineering and Computer Science, Erik […]
Dr. Xiaohu Guo and his Collaborators Awarded the ACM SIGGRAPH 2023 Technical Papers Best Paper Award

This August, Dr. Xiaohu Guo, his PhD student Ms. Ningna Wang, and a team of collaborators received the Association for Computing Machinery (ACM) Special Interest Group on Computer GRAPHics and Interactive Techniques (SIGGRAPH)’s Technical Papers Best Paper Award for the paper titled “Globally Consistent Normal Orientation for Point Clouds by Regularizing the Winding Number Field.” ACM SIGGRAPH is a special interest group within ACM, and SIGGRAPH 2023 is the premier conference for computer graphics and interactive techniques worldwide. The ACM SIGGRAPH community is a global nonprofit organization serving the evolution of computer graphics and interactive techniques. With thousands of members across the world, the researchers, artists, developers, filmmakers, scientists, and business professionals of ACM SIGGRAPH are building the future of digital art and interactive design.
Grace Series Returns for the Fall Season with a Talk from the CS Department Head

For over eight years, the Grace Series has provided a platform for sharing experiences, knowledge, and inspiration. The Grace Series recognizes accomplishments of a diverse group of people from the computing field through empowering talks that aim to foster a sense of community, with a special focus on women in technology. These talks are intended to offer fresh perspectives and different approaches for women to navigate the technology field, whether in academia or industry. Since its inception, 41 speakers have given talks.
Team’s New AI Technology Gives Robot Recognition Skills a Big Lift

A robot moves a toy package of butter around a table in the Intelligent Robotics and Vision Lab at The University of Texas at Dallas. With every push, the robot is learning to recognize the object through a new system developed by a team of UT Dallas computer scientists.
The new system allows the robot to push objects multiple times until a sequence of images are collected, which in turn enables the system to segment all the objects in the sequence until the robot recognizes the objects. Previous approaches have relied on a single push or grasp by the robot to “learn” the object.
Team’s AI Tool May Predict Cardiac Arrests in Pediatric Patients

Team’s AI Tool May Predict Cardiac Arrests in Pediatric Patients University of Texas at Dallas researchers have developed an artificial intelligence tool that could predict the risk of cardiac arrest in children hospitalized in cardiac intensive care units. The technology is the latest work from the Statistical Artificial Intelligence and Relational Learning Group, a UT […]
Dr. Gopal Gupta Talks With Dallas Morning News About Aurora’s Self-Driving Trucks

Via Dallas Morning News — Darcy Desjarlais, senior truck operations specialist at Aurora, hovers both hands under the steering wheel of Aurora’s self-driving truck as it cruises at 65 miles per hour down Interstate 45, heading in its typical route towards Houston.
Above his palms could be the future of short and long hauls for transported goods.
City of Dallas likely targeted in ransomware attack, city official says

Via Dallas Morning News — Dallas officials say the city likely was hit with a ransomware attack, affecting 311, the municipal court and other departments on Wednesday. Dallas chief financial officer Jack Ireland sent a message to the mayor and City Council on Wednesday saying “a number of servers have been compromised” because of the attack. He didn’t specify which servers or city services were affected.