Guiling Wang
Dr. Guiling “Grace” Wang’s research lies at the intersection of large language models (LLMs), deep learning, and applied AI, with impactful applications in Finance, Transportation, and other critical domains. Her work focuses on leveraging LLMs, deep learning, and reinforcement learning to tackle real-world problems involving data-driven optimization and decision-making in complex, dynamic environments.
Kaiman Zeng
Dr. Zeng is an Assistant Professor of Computer Science at California State Univeristy, Stanislaus. Her research focuses on computer vision, machine learning, and deep learning, with applications in autonomous systems, medical imaging, and embedded AI solutions. She has extensive experience in interdisciplinary research projects that integrate perception, decision-making, and predictive analytics. Her work spans object […]
Qingquan Sun
My research expertise and areas include Intelligent Sensing, Machine Learning, and Artificial Intelligence (AI) in Cyber-Physical System. Currently my research is focusing on the following two directions: 1) Data fusion enhanced human sensing with intelligent wireless sensors and deep learning technologies. This research aims to design and develop wireless sensor-based light-weight, low-cost, and efficient methods […]
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 […]
Kazunori Okada
Dr. Okada has broad research interests in the areas of intelligent computing: computer vision, pattern recognition, machine learning, artificial intelligence and data mining. He has been active in the research fields of medical image analysis, statistical data analysis, cognitive vision and face recognition. His earlier work on face recognition has produced a winning system in […]
JIang Guo
With many years of research experience in the fields of machine learning (ML), artificial intelligence (AI), and data science, I have developed various methodologies aimed at solving complex real-world problems. Throughout my career, I have been involved in a diverse range of projects sponsored by prominent agencies, including the U.S. Department of Energy (DOE), U.S. […]
Marsa Rayani
Marsa Rayani is a dedicated Assistant Professor at California State University, Dominguez Hills, specializing in different computer science topics. With a robust background in telecommunications and machine learning, she has conducted interdisciplinary research and collaborated on global projects with institutions in France, Turkey, and Canada. Marsa’s professional journey includes significant contributions to industry as a […]
Gurman Gill
Dr. Gill’s area of research is computer vision. He is primarily interested in applying object classification and detection techniques to interdisciplinary areas. These include but are not limited to applications in GIS, Computed Tomography (CT), photomicrographs, and monitoring biodiversity. Dr. Gill combines traditional and deep machine learning techniques in his research applications. Whereas traditional techniques […]
Levent Ertaul
RESEARCH INTERESTS Computer Networks Security: Authentication Techniques, PKI, Intrusion Detection and Penetration Techniques. Cryptology: Fast Software and Hardware Implementation of Cryptologic Algorithms, Hommorphic encryption schemes. ATM Networks: Modeling Security Mechanisms for ATM Networks. Wireless Networks: Modeling Novell Security Mechanisms and Authentication techniques for Mobile Environments. Security in Ad Hoc networks ( Data confidentiality in Ad Hoc networks, Threshold cryptology, […]
Yekaterina (Kate) Kharitonova
Yekaterina Kharitonova holds a Ph.D. in Computer Science and has been a teaching faculty at the University of California Santa Barbara (UCSB) since 2018. She primarily teaches introductory Computer Science and Data Science courses. Her work focuses on educational research in Computer Science and Data Science, and on incorporating visualization, writing, and cybersecurity into the […]
