Daehee Kim
My research interests include Mobile/Web/VR and AR application development, Big data analysis and processing, Computer networking and Cyber security, Cloud Computing, and Internet of Thing (including smart city and smart farm). Researches involve extensive design, deployment, and development of practical solutions for the topics.
Efren Lopez Morales
My research area is computer security. My research interests are Cyber-Physical Systems (CPS) Security, Satellite Security, and Cyber Deception. My research has been published in top-tier cybersecurity conferences including the ACM Conference on Computer and Communications Security (CCS) and the USENIX Security Symposium.
Jung Soo Lim
Jung Soo Lim (she/her) earned her Ph.D. in Computer Science from UCLA, with a focus on computer networking. She began her career as an assistant professor in the fall of 2020. Her areas of expertise include the Internet of Things (IoT), wireless sensor networks, wired and wireless computer networks, algorithm analysis, and software engineering. In […]
Pavlo Tymoshchuk
My research project “Spiking K-Winners-Take-All (KWTA) neural circuit and its application for parallel rank order filtering and parallel sorting” was financially supported by the Fulbright Scholar Program Grant. In the project, a continuous-time KWTA neural model has been described that can identify the largest K of N inputs, where the command signal 1<=K<N. The model […]
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 […]