Qi Zhu
Dr. Zhu’s research interests include: Operating Systems, Computer Organizations and Architectures, Computer Queuing Systems, Software Engineering, Webmining, IT for Natural Disaster Preparedness, and Real time Systems.
Piotr Gmytrasiewicz
Uncertainty reasoning, sequential decision-making, autonomous agents, game theory, communication, pragmatics
Hardik Gohel
Hardik directs the Applied Artificial Intelligence Research Laboratory and the graduate Data Science Program. His research expertise spans artificial intelligence, cybersecurity, digital health, and advanced computing. Dr. Gohel’s work includes developing AI-driven solutions for cyber threat detection, predictive maintenance, and digital healthcare applications.
Akshay Rangamani
My research uses theoretical and empirical approaches to identify and explain phenomena in deep learning and sparse & low rank signal processing. The goal of my research is to understand how deep learning identifies structure in high dimensional data. I also aim to use this principled understanding to power applications across domains like signal processing, […]
Lijing Wang
My research interests span across artificial intelligence (AI), machine learning (ML), deep learning (DL), natural language processing (NLP), time series analysis, graph learning, and network science, with a strong emphasis on solving problems in networks and sequences. My work is inherently interdisciplinary, bridging theoretical foundations with practical applications to address complex, real-world challenges, such as […]
James Preiss
My interests are robotics, machine learning, optimization, control, and their intersections — both theoretical and practical. My long-term goal is to develop robot learning into a general-purpose tool. This means building algorithms that can learn control policies for diverse tasks and hardware without extensive per-task manual tuning. By making robotics more reliable and accessible, we […]
Gaurav Panwar
Dr. Panwar is currently involved in research focusing on enhancing trust, security, and privacy within the realm of edge computing, encompassing domains such as smart grids, smart cars, mobile computing systems, and applications in blockchains and decentralized finance. He leads the PRISM Research lab which conducts research in security, privacy, and resilience in networks and […]
Michael A. Álvarez-Navarro
Michael Alvarez is currently an Assistant Professor in the Computer Science Department at the University of Puerto Rico, Río Piedras. His research interests include computational imaging, computer vision, and biomedical applications—particularly light propagation modeling for Smart Health initiatives—primarily using machine learning and deep learning algorithms. His work focuses on estimating properties and enhancing features in […]
Wilfredo Lugo Beauchamp
My research bridges the gap between machine learning and edge computing, with a focus on enabling real-world, resource-constrained applications in agriculture, environmental monitoring, and healthcare. Drawing from my background in industry and academia, I lead efforts that emphasize model compression, low-power inference, and system-level integration for embedded and edge devices. My team and I design […]
Diane Murphy
I have been involved in AI for decades, building early expert systems in 1980s More recently, I am focused on research on AI governance, including data provenance. I teach AI courses and run a series of research projects in cybersecurity using AI tools. I have several publications including two publications on trustworth AI.
