Category: Award

Leaders at the Erik Jonsson School of Engineering and Computer Science at The University of Texas at Dallas recognized faculty, staff and graduate students at its annual meeting and awards ceremony held in the spring.
Dr. Stephanie G. Adams, dean of the Erik Jonsson School of Engineering and Computer Science and Lars Magnus Ericsson Chair, congratulated the award winners and thanked everyone for their perseverance and contributions during the year. She reminded participants of her charge to make 2024-25 a “Year of Creativity” and highlighted that engineers and computer scientists are highly creative people, despite stereotypes of left-brained STEM professionals.

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.

University of Texas at Dallas students got the opportunity to envision a possible future in research that they may not have considered during the annual Exhibition of Excellence in Undergraduate Research held April 10-15.

University of Texas at Dallas students and alumni pitched their ideas spanning biotechnology, artificial intelligence, sustainability and digital community-building April 16 at the 2025 Big Idea Competition finals hosted by the Institute for Innovation and Entrepreneurship (IIE).

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.

Dr. Latifur Khan, a computer science (CS) professor in the Erik Jonsson School of Engineering and Computer Science at The University of Texas at Dallas, along with his research team of UT Dallas CS graduate students (Naif Alatrush, Luay Abdeljaber, Sultan Alsarra and Parker Whitehead) and political scientists from UT Dallas (Dr. Patrick Brandt), the University of Arizona, and West Virginia University received the Best Paper Award for their research — “Extractive Question Answering for Spanish and Arabic Political Text” — at the 17th International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation (SBP-BRiMS), held at Carnegie Mellon University in Sept. 2024

Dr. Weili (Lily) Wu, professor of computer science in the Erik Jonsson School of Engineering and Computer Science at The University of Texas at Dallas, was recently named a fellow of the Institute of Electrical and Electronics Engineers (IEEE) for her contributions to the study of data communication and processing in wireless sensor networks. According to the IEEE, the fellow designation is reserved for individuals with extraordinary professional distinction. Less than .1 percent of members are named fellows each year.

With rapidly evolving current events, decision makers may be inundated with messages. With an increasing flow of information from multiple sources, data extraction is an important facet of controlling and identifying key patterns and events. How can data science experts help to simplify complex or extensive documents and streams of information?