Mohammad Saidur Rahman
Dr. Mohammad Saidur Rahman’s research spans machine learning, network security, endpoint security, and quantum security. In endpoint security, his work focuses on intelligent malware classification and detection systems inspired by human learning. Leveraging continual learning (CL) techniques, his team develops adaptive systems that enhance malware detection while minimizing catastrophic forgetting and reducing computational and storage […]
Shibbir Ahmed
Shibbir Ahmed’s research spans the intersection of Software Engineering, Artificial Intelligence, and Data Science. He is particularly working on Software Engineering for trustworthy Machine Learning. Recently, he has worked on ensuring the reliability of Deep Learning software by specifying and checking contracts on deep learning APIs. He proposed design by contracts for deep learning APIs. […]
Veronica Perez-Rosas
Veronica Perez-Rosas is an Assistant Professor at Texas State University. She received her Ph.D. in Computer Science and Engineering from the University of North Texas in 2014 and was an Assistant Research Scientist at the University of Michigan until August 2024. Her research interests include natural language processing, machine learning, affect recognition, and multimodal processing […]
Dr. Nabeel Alzahrani
Dr. Alzahrani is an adjunct professor in the Computer Science and Engineering Department, specializing in artificial intelligence (AI), high-performance computing (HPC), and cybersecurity. He earned his Ph.D. in computer science from the University of California, Riverside. Dr. Alzahrani is also a consultant in the Identity, Security, and Enterprise Technology Department at CSUSB. He is a […]
Salimeh Sekeh
Extreme-scale learning algorithms of artificial intelligence (AI) systems often prevent critical and robust decisions as they fail to operate reliably and efficiently, transfer knowledge, and adapt to continually evolving noisy and complex environments. They require an end-to-end reliable and efficient learning process that not only guarantees robust continual learning but also adapts to new online […]
Stephanie Ludi
Stephanie Ludi is an Associate Dean in the College of Engineering and a professor in the Department of Computer Science & Engineering at the University of North Texas. She earned her BS and MS in Computer Science from California Polytechnic State University, San Luis Obispo, as well as her Ph.D. in Computer Science from Arizona […]
Alihan Hadimlioglu
Alihan Hadimlioglu is an Assistant Professor and Graduate Program Coordinator for the MS: Computer Science program at Texas A&M University – Corpus Christi. His research focuses on computer graphics, 3D visualization, computational fluid dynamics, and spatial data visualization. Hadimlioglu has been teaching since 2013 and is passionate about fostering a supportive and engaging learning environment […]
Alex Dekhtyar
Alex Dekhtyar has a Ph.D. in Computer Science from the University of Maryland. Since 2007 he is on the faculty at Cal Poly, San Luis Obispo. His research interests include machine learning, data science, database systems, requirements engineering, and cross-disciplinary research that requires applied machine learning, data science, or database technologies, as well as Computer […]
Xinrui Cui
Dr. Xinrui Cui is an Assistant Professor in the Department of Computer Science and Engineering at the University of North Texas. Prior to this role, he completed his postdoctoral fellowship at the University of British Columbia, where he also earned his Ph.D. in Electrical and Computer Engineering in 2020. His research focuses on explainable AI, […]
Vangelis Metsis
Dr. Vangelis Metsis is an Associate Professor in the Department of Computer Science at Texas State University and the Director of the Intelligent Multimodal Computing and Sensing (IMICS) Lab. His research interests center on Machine Learning and Computer Vision, with applications in Smart Health, Pervasive Computing, Affective Computing, and Human-AR/VR Interaction. His work frequently involves […]
