Qian Wang
Qian Wang is an assistant professor in the Department of Electrical Engineering at the University of California, Merced. Prior to her academic appointment, she was a research scientist at Intel Labs. She earned her Ph.D. in Computer Engineering from the University of Maryland, College Park. Her research focuses on advancing hardware security, with a particular […]
Hongmin Li
I am an Assistant Professor in the Department of Computer Science at California State University, East Bay. My research interests lie at the intersection of machine learning, natural language processing, and their applications across diverse fields. I earned my Ph.D. in Computer Science from Kansas State University in 2020, where my research centered on domain […]
Javier Gonzalez-Sanchez
Javier Gonzalez-Sanchez is an Assistant Professor in the Computer Science and Software Engineering department at California State University, San Luis Obispo. He holds a Ph.D. in Computer Science from Arizona State University, an M.S. in Electrical Engineering from the Center for Research and Advanced Studies of the Mexican National Polytechnic Institute, and a B.S. in […]
Xifeng Yan
The primary objective of my research is to explore foundation models in artificial intelligence, leveraging these models for knowledge discovery, and developing cross-disciplinary applications in areas like finance, healthcare, and science. We have extensively innovated on graph mining, graph data management and pioneered transformer-based time series forecasting.
Benyamin Ahmadnia
Dr. Ahmadnia is an Assistant Professor of Computer Science at CSUDH. His main research interests are Artificial Intelligence, Natural Language Processing, and Machine Translation.
Leilani Gilpin
Leilani H. Gilpin is an Assistant Professor in the Department of Computer Science and Engineering at UC Santa Cruz. Her research lies at the intersection of artificial intelligence, autonomy, and explainability, with a focus on designing and analyzing methods that enable autonomous systems to explain their behavior effectively. Her work addresses critical challenges in robust […]
qiuxiao chen
Qiuxiao Chen received her bachelor’s degree in Electrical Engineering from Zhejiang University (China) in 2018, and a Ph.D. in Computer Science from Utah State University in 2023. She joined the faculty ranks at California State University, San Bernardino (CSUSB) in 2024 as an Assistant Professor of Computer Science & Engineering. She is passionate about developing […]
Suzanne Rivoire
Dr. Rivoire’s background is in computer architecture, with a focus on energy-efficient computing in large-scale environments such as datacenters and supercomputers. Her work in this area has included benchmarking, modeling, workload characterization via machine learning, runtime power management techniques, and system architectures for energy efficiency. She has collaborated with researchers at Stanford University, HP Labs, […]
Florin Rusu
Florin’s research interests lie in the area of databases and large scale data management in general, with a particular focus on designing and building infrastructure for Big Data analytics. Specific topics include query processing and optimization, approximate and randomized algorithms, and scalable machine learning. Scientific data processing as another facet of Big Data receives considerable […]
Yao Qin
Dr. Qin is an Assistant Professor at University of California, Santa Barbara. Her research interests primarily focus on robustness in machine learning, such as adversarial robustness, out-of-distribution generalization & detection. In addition, she is highly passionate about developing reliable AI-driven models tailored for healthcare, with a particular focus on diabetes management. She has a prolific […]