Frank Osuna
Frank Osuna is a Software Engineer with a Master’s in Computer Science with over 15 years of experience designing and developing robust software systems. He spearheaded the design and development of Engage, a groundbreaking student success information management system that has been adopted by over 25 national academic institutions. This project alone has transformed academic […]
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 […]
Venkataramani Kumar
Venkataramani Kumar currently works as Assistant Professor in the Department of Computer Science and Engineering (CSE) at University of Puerto Rico, Mayaguez. His areas of research interest includes cybersecurity, wireless communications, IoT, AI and ML. He has worked on multiple projects in the past such as “Seamless IoT Platforms”, and “Simplified Autoencoder Design for Channel […]
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 […]
Tingting Chen
Dr. Tingting Chen’s current research interests include big data security and privacy and AI applications in medical systems. Her works have been focusing on privacy preserving deep learning, AI model security, and building trustworthy AI applications for smart and connected healthcare systems. She has published over 50 referred papers, including in top-tier conferences such as […]
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 […]
Hao Liu
Dr. Hao Liu’s work seeks to leverage innovations in artificial intelligence into knowledge discovery, representation, and computation from biomedical/clinical literature and Electronic Health Records(EHRs).
Boxiang Dong
Dr. Dong’s research interests lie at the intersection of cybersecurity and data science. In particular, he aims at enforcing security and privacy guarantees in outsourced and distributed big data analytics. On the other hand, he is interested in leveraging state-of-the-art machine learning techniques to enhance computer system security.
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 […]
Qian Wang
Qian Wang is an assistant professor in the Department of Electrical Engineering at the University of California, Merced. Prior to her academic appointment, she was a research scientist at Intel Labs. She earned her Ph.D. in Computer Engineering from the University of Maryland, College Park. Her research focuses on advancing hardware security, with a particular […]
