Python is one of the most widely used programming languages globally. It is favored by developers for its flexibility and ease of use, powering everything from artificial intelligence research to web applications. However, its popularity also makes it an attractive target for cybercriminals. Malware creators have increasingly adopted Python because of its accessibility, leaving security researchers in need of better tools to understand, analyze and defend against threats. Decompilers, which convert compiled code into a human-readable format, are crucial for this type of work. However, Python poses a difficult challenge. The language evolves rapidly, with new features added every year, and its underlying bytecode frequently changes. The rapid pace of development has made existing decompilers unstable, making it challenging for the research community to keep up.
Category: Professor
UT Dallas CS Professor’s PyLINGUAL Project Featured at IEEE Symposium on Security and Privacy 2025

Remembering Dr. Klaus Truemper: Early Visionary of UTD Computer Science

A trailblazer in the field of computer science and a beloved member of The University of Texas at Dallas community, Dr. Klaus Truemper , Professor Emeritus of Computer Science, passed away on July 12, 2025, in a plane crash in Weld County, Colorado. He was 83.
TexSAW 2025 Brings Cybersecurity Enthusiasts Together for Hands-On Challenges and Global Competition

The 14th Annual Texas Security Awareness Week (TexSAW’25) brought together cybersecurity enthusiasts from around the world and across The University of Texas at Dallas campus for a hybrid experience combining in-person workshops with an internationally ranked online Capture the Flag (CTF) competition. Hosted by the UT Dallas Computer Security Group (CSG) and overseen by Dr. Kamil Sarac and Dr. Kangkook Jee, UT Dallas computer science professors and cybersecurity experts, this year’s event saw record-breaking participation and a broad range of technical activities that immersed students in real-world cybersecurity skills.
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.
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.
Getting to Know: Austin Mordahl, PhD Alumni

Through our interview series, we aim to showcase the experiences of CS alumni, current students, and faculty, providing valuable insights to inspire and guide future researchers. In this interview, we feature Dr. Austin Mordahl, who earned his PhD this year under the mentorship of Dr. Shiyi Wei.
He is now shaping the next generation of scholars as an Assistant Professor at the University of Illinois Chicago. Explore Austin’s journey for an in-depth view of his academic and professional experiences, where he reflects on his thesis, inspirations, and mental health.
Getting to Know Our Faculty: Dr. Balakrishnan Prabhakaran

Dr. B. Prabhakaran, a renowned computer science professor at UT Dallas, is recognized for his innovative contributions to multimedia systems, computer vision, and healthcare informatics.
His advanced research—encompassing multimedia data management, 3D medical imaging and video analytics—has been extensively published in leading journals and conferences, solidifying his status as a thought leader in these domains.
SMILE VR Project Lands $750K NSF Grant to Revolutionize Learning and Training

Virtual reality (VR) offers a captivating and immersive way to revolutionize learning and training, especially when it comes to safety-related concepts.
Despite its potential, the intricate development process has slowed its widespread use—until now. In an exciting breakthrough, the University of Texas at Dallas computer science professors Drs. Balakrishnan Prabhakaran, Shiyi Wei, Yu Xiang, and Jin Ryong Kim have secured an impressive $750,000 National Science Foundation (NSF) grant for their groundbreaking Scan to Multi-sensorial Interactive Learning Environment (SMILE) project. This substantial funding highlights the innovation behind SMILE and marks a significant step forward in bringing cutting-edge VR learning experiences to life.
Dr. Zygmunt J. Haas Offers Remarks for MobiCom Conference’s 30th Anniversary

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.
From Haptic to Thermal Technologies: Inside Dr. Jin Ryong Kim’s Multimodal Interaction Lab and How it is Revolutionizing How We Interact in VR

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.




