Meng Tang
Dr. Tang is an assistant professor in Computer Science and Engineering at the University of California Merced. He is interested in computer vision problems including 2D/3D visual perception, visual localization, and scene understanding, with a focus on unsupervised learning, weakly-supervised learning, and optimization methods. He was a research scientist in machine learning and perception at Meta […]
Hyeran Jeon
Hyeran Jeon’s main research interests lie in energy-efficient, reliable and secure computer architecture and systems design. Her research lab has been sponsored by National Science Foundation, California Energy Commission, LAM Research, NVIDIA (equipment), and Xilinx. She received NSF CAREER award in 2024. She earned her Ph.D. at the University of Southern California, where she received Viterbi dean’s doctoral fellowship. She has industry experiences as an intern at IBM T.J. Watson Research Center and AMD Research, and as a systems software engineer at Samsung […]
Qun Wang
Dr. Qun Wang is an assistant professor in Computer Science at the San Francisco State University. His research work predominantly revolves around the security and efficiency of systems designed for resource-constrained Edge intelligence applications. His innovative research encompasses enhancing system efficiency and security through the integration of diverse machine learning algorithms, cutting-edge B5G/6G wireless communication […]
Xiaoyi Lu
Dr. Xiaoyi Lu is an Associate Professor in the Department of Computer Science and Engineering at the University of California, Merced (UC Merced), where he leads the Parallel and Distributed Systems Laboratory (PADSYS Lab). His research interests include parallel and distributed computing, high-performance communication and I/O technologies, big data analytics, cloud computing, deep learning, digital […]
YangQuan Chen
His current research interests include mechatronics for sustainability, cognitive process control via digital twins and machine learning, small multi-UAV based cooperative multi-spectral “personal remote sensing” and applications, applied fractional calculus in controls, modeling and complex signal processing; distributed measurement and distributed control of distributed parameter systems using mobile actuator and sensor networks.
Mark Gondree
Dr. Gondree is an associate professor in the Computer Science Department at Sonoma State University. Previously, Gondree was a Research Associate Professor in the Computer Science Dept at the Naval Postgraduate School in Monterey, CA, where he taught, advised students and did research related to computer security and computer security education. His sponsors include the […]
Mohammad Pourhomayoun
Dr. Pourhomayoun is an Associate Professor of Computer Science at California State University Los Angeles. He is the founder and director of the Artificial Intelligence and Data Science Research Lab at California State University Los Angeles. His research interests include Artificial Intelligence, Deep Learning, Machine Learning, Data Science, and Predictive Analytics. He has over 12 […]
Ben Steichen
Dr. Ben Steichen is an Associate Professor in the Computer Science Department at California State Polytechnic University, Pomona. Dr. Steichen’s research focuses on Human-Centered Computing and Personalized Information Access, which involves techniques and concepts from the fields of Human-Computer Interaction, Information Retrieval & Visualization, and Web & Information Science. Dr. Steichen leads the hapii lab (human-centered, adaptive, and […]
Chen Qian
Chen Qian has done extensive research on computer networks and network security. His research has contributed to the security, performance, and resilience of the Internet, wireless networks, data center networks, software defined networks, quantum networks, and Internet of Things. His publications appeared in many top computer networking, security, and systems conferences including SIGCOMM, MobiCom, CCS, […]
Moayed Daneshyari
Dr. Daneshyari’s area of interest and expertise include Deep Learning, Generative AI, Machine Learning and AI, Computational Intelligence, Genetic algorithms, Swarm Intelligence, Optimization, Object Detection/Classification, Robotics and Unmanned Aerial Systems, and Cybersecurity. His research was previously supported by the National Science Foundation, the National Security Agency, the Department of Education, and the US Army Research […]
