Kenny Zhu
Kenny’s main research areas are natural language processing and knowledge engineering, and his current interests are Animal Language Processing, NLP for mental health, and light-weight NLP. He has published extensively in NLP and AI venues such as ACL, EMNLP, NAACL, SIGMOD, AAAI, and IJCAI, and has served as the SPC or PC of these venues, […]
Faysal Hossain Shezan
I am an assistant professor at the University of Texas at Arlington. My research focus on the intersection of security & privacy with cyber-physical systems, medical healthcare, software engineering, and machine learning. I am especially interested in data-driven security and privacy analysis in cross-platform interaction of emerging systems and platforms. The goal of my research […]
Daniel Hernandez
Daniel Hernandez is a student at Florida International University. His interests are cyber security/information technology between network machines, Artificial Intelligence, and machine learning algorithms. Recently, Daniel has been actively working on a personal server. In addition, he has been performing data collection and analysis of MMA fighters in the UFC promotion.
Sergei Chuprov
Dr. Sergei Chuprov is an Assistant Professor (tenure-track) in the Department of Computer Science at the University of Texas Rio Grande Valley (UTRGV). His research enhances the resilience and security of intelligent systems, focusing on machine learning, decentralized systems, and data quality. In today’s interconnected environments, intelligent systems rely heavily on data processing for training […]
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 […]
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 […]
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 […]
