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 […]
Philip Brisk
Dr. Brisk’s interests span all aspects of computer system design, including but not limited to computer architecture, FPGAs and reconfigurable computing, electronic design automation, and VLSI. Like every subfield of computing, machine learning, and deep neural networks in particular, have become the primary target of interest, as well as the underlying methodology of choice. He […]
Ioannis Demertzis
Nowadays, a large part of our personal data, ranging from medical and financial records to our social activity, are stored online in cloud servers. Frequent data breaches threaten to expose these data to malicious third parties, often with catastrophic consequences (estimated to several billion of US dollars annually). To prevent dealing with such undesirable situations […]
