Vassilis Athitsos
Dr. Vassilis Athitsos is a faculty member at the Computer Science and Engineering department at the University of Texas at Arlington, where he currently serves as full professor. His research areas are computer vision and machine learning. His recent work has focused on gesture recognition, sign language recognition, and human motion analysis. His research has […]
Taesic Kim
Dr. Taesic Kim is an associate professor in the Department of Electrical Engineering and Computer Science at the Texas A&M University-Kingsville (TAMUK). His research goal is to develop resilient and secure power and energy systems that contribute to creating a clean, secure, and sustainable world. His current research interests lie in the area of cyber-physical […]
Pablo Rangel
Pablo Rangel is a Ph.D. in Electrical and Computer Engineering graduated from The University of Texas at El Paso, Texas, USA in May 2017. He is currently an Assistant Professor at Texas A&M University at Corpus Christi. His current professional teaching experience covers lecturing ENGR 2460 Circuit Analysis, ENGR 2360 Dynamics, EEEN 3315 Circuit Analysis […]
Abdelfattah Amamra
My research focuses on advancing cybersecurity through innovative approaches in smartphone security, network security, IoT device security, by using machine learning. I investigate solutions to protect critical infrastructures from sophisticated threats such as intrusions using intelligent and adaptive defense mechanisms.
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 […]
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 […]
