Heena Rathore
Dr. Heena Rathore develops secure and trustworthy systems that foster synergy between humans and AI by integrating principles from cognitive science. Her research spans language models, connected vehicles, medical devices, and the Internet of Things (IoT), with the goal of enabling safer and more intelligent human–machine collaboration.
Dianqi Han
Dr. Dianqi Han is an Assistant Professor in Department of Computer Science and Engineering at University of Texas at Arlington. His research interests are security and privacy in networked systems, including AI-powered Cybersecurity, cyber-physical systems, wireless security and privacy, mobile computing and security, and smart and connected health.
Yongzhi Wang
Dr. Yongzhi Wang is an Assistant Professor of Computer Science at Texas A&M University – Corpus Christi (TAMU-CC), where he leads the Software and System Security Laboratory (SSS Lab). He received a PhD in Computer Science from Florida International University, USA and a BE in Computer Science from Xidian University, China. His research interests include software […]
Renjie Hu
Dr. Renjie Hu’s research focuses on applying their machine learning (ML) background to advance research in healthcare and biomedical engineering. Recently, Dr. Hu has been focusing on post hoc model explainability using ML methods and multimodal ML for neural activity data. In general, Dr. Hu’s research interests include multi-modality data in healthcare, explainable AI for […]
Allison Sullivan
Dr. Sullivan is an Assistant Professor of Computer Science at The University of Texas at Arlington (UTA), a member of the Software Engineering Research Center (SERC) at UTA, the faculty advisor for UTA’s SWE club and a member of the College of Engineering Arlington Women in Engineering organization (COE AWE). She is the lead professor […]
Emre Yilmaz
Dr. Emre Yilmaz is an Assistant Professor in the Department of Computer Science and Engineering Technology at the University of Houston-Downtown. Before that, he worked as a postdoctoral researcher at Case Western Reserve University and the University of South Florida. His research interests include data privacy and security, cryptography, data analytics, location analytics, and machine […]
Gongbo Liang
Dr. Liang has focused on computer vision and deep neural network research since 2014. He is excited about modern deep neural networks to solve previously unsolvable domain-specific challenges while tackling the fundamental issues of deep neural networks. He has projects in several domains, including medical imaging, astrophysics and astronomy, and natural language processing. He is […]
Tao Wang
Dr. Tao Wang is an Assistant Professor in Department of Computer Science at New Mexico State University. His research primarily focuses on cybersecurity, especially on network security, mobile security, cyber-physical security, wireless networking, and adversarial machine learning. His recent project is to develop an AI empowered tool to identify abnormal user behaviors and network attacks […]
Joshua Reynolds
Joshua Reynolds an assistant professor in the CS department at New Mexico State University. He has collaborated with researchers at Google, UC Berkeley, Cloudflare, and Stanford on research in the areas of two-factor authentication (2FA), phishing, parsing vulnerabilities, and transport-layer security (TLS). His work has been published in top academic security conferences including USENIX and […]
Andrew Pownuk
At present, Dr. Pownuk’s research focuses on autonomous, self-adaptive, self-learning computational methods that can be applied to the automated development of mathematical models and related computer code. His research has been successfully applied to the development of various online learning systems. Machine Learning Certifications 2024 – Machine Learning Intensive Part II, The Coding School 2024 […]