Mohammadhadi Amini
Dr. M. Hadi Amini is an Assistant Professor of Computer Science at Florida International University. He is the director of Sustainability, Optimization, and Learning for InterDependent networks laboratory (www.solidlab.network). His research interests include distributed optimization and federated learning (FL) algorithms, optimal transport, and cyber-physical network security and resilience. Application domains include smart cities, energy systems, transportation […]
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 […]
Lu Cheng
Dr. Cheng is an assistant professor in Computer Science at the University of Illinois Chicago. Her research interests are broadly in data mining and machine learning, focusing on socially responsible AI, causal machine learning, and AI for social good. Over the past few years, she has focused on bridging ethical AI principles (e.g., fairness) and […]
Sourav Medya
Dr. Medya is an assistant professor in Computer Science at the University of Illinois Chicago (UIC). Before joining UIC, he was a research assistant professor at the Kellogg School of Management and the Northwestern Institute of Complex Systems at Northwestern University. His research is focused on the problems at the intersection of data science, graphs, […]
Sharma Chakravarthy
Prof. Sharma Chakravarthy’s research contributions span several related topics in data management, data mining, data analysis, machine learning algorithms, efficiency, and scalability. Research on active capability through event processing was pioneering as such a capability did not exist although was very much needed. This contribution, adopted by the industry, caught the attention of DoD (Department […]
Dongsheng Luo
Dr. Luo research bridges the areas of artificial intelligence, data mining, machine learning, and natural language processing. He is particularly interested in developing robust, integrative, and explainable tools that extract clean and human-understandable knowledge from noisy and heterogeneous network data, focusing on but not limited to application fields of neuroscience, system management, and biomedicine.
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, […]
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, […]
Yunhe Feng
Dr. Yunhe Feng is an Assistant Professor in the Department of Computer Science and Engineering at the University of North Texas (UNT), where he directs the Responsible AI Lab. Before joining UNT, he was a Postdoctoral Fellow/Scholar at the University of Washington (2020-2022) and received a Ph.D. in Computer Science from the University of Tennessee, […]
Marie Lluberes-Contreras
Marie Lluberes-Contreras is in her first year as an Assistant Professor in the Computer Science Department at University of Puerto Rico, Río Piedras. Her research explores binarization algorithms for gene expression profiles and the effect that different binarizations of gene expression profiles have in the resulting Boolean representation of the gene regulatory network. She has proposed […]
