Bryan Donyanavard
Dr. Donyanavard’s research revolves around self-aware computing systems: he generally works to enable resource-constrained systems to make intelligent self-management decisions at runtime, typically for high-performance cyber-physical applications. His current research focus is resource-aware autonomy, with a goal of ultimately enabling deployment of full mobile autonomy. To help achieve this, Dr. Donyanavard bridges the gap between […]
Shiyu Chang
Dr. Shiyu Chang is an Assistant Professor of Computer Science at UC Santa Barbara. He has extensive experience in machine learning and AI and its applications in natural language processing (NLP), and computer vision. He is a recognized expert and leader in the proposed research field of responsible and trustworthy AI and NLP. His recent studies have […]
Heng Yin
Dr. Yin is a Professor in the department of Computer Science and Engineering at UC Riverside. His research interests lie in computer security. In particular, he is interested in developing program analysis, virtualization, and machine learning/deep learning techniques to solve computer and software security problems, including but not limited to malware detection and analysis, vulnerability […]
Dustin Richmond
Dustin Richmond is an Assistant Professor of Computer Science and Engineering in the Baskin School of Engineering at UC Santa Cruz. Dustin completed his postdoc in the Bespoke Silicon Group at the Paul Allen School of Computer Science at the University of Washington, and earned his Ph.D. from the University of California, San Diego. His research […]
Wenlin Han
Dr. Wenlin Han is currently an associate professor with the Department of Computer Science, California State University, Fullerton, USA. Her research interests include Cybersecurity, Applied Cryptography used in IoT, CPS, Blockchain and Web 3.0. She has published over 30 papers with one Best Paper Runner-up Award. She has served as an editor, PC member or […]
Greg Ver Steeg
Greg Ver Steeg is an Associate Professor in Computer Science at the University of California Riverside. His research focuses on unsupervised machine learning and draws on connections from information theory and physics to solve problems in diverse domains including biology, natural language, and human behavior.
Michael Beyeler
Dr. Beyeler leads the Bionic Vision Lab at UC Santa Barbara, an interdisciplinary research group interested in the computational modeling of human, animal, computer, and prosthetic vision to elucidate the science behind bionic technologies that may one day restore useful vision to people living with incurable blindness. His group combines expertise in computer science/engineering, neuroscience, […]
Zhiyun Qian
Dr. Qian has a broad interest in system/network security, with the general theme of vulnerability discovery and analysis, system building, and measurement. He has a well-rounded understanding of computer systems including operating systems, software, network protocols, architecture, and their interactions. The techniques he applies include program analysis, reverse engineering, fuzzing, model checking, and machine learning. […]
Luca DeAlfaro
Luca de Alfaro’s research interestes center on fairness in AI, and on computational ecology. Generally, AI systems are characterized in terms of their average performance. Professor de Alfaro and his co-authros developed DivExplorer, a tool that can quickly analyze black-box systems, and identify the subgroups of data that are treated in anomalous fashion. This enables, […]
Yue Dong
Yue Dong is an Assistant Professor of Computer Science and Engineering at the University of California, Riverside. Her research interests include natural language processing, machine learning, and artificial intelligence. Her recent research has focused on text summarization and conditional text generation, with an emphasis on designing models with appropriate inductive biases for salience, faithfulness, and […]
