第9届北美计算机华人学者年会暨计算技术前沿研讨会于2026年6月19-20日在加州硅谷举行。本次会议的目的如下:(1)探讨计算技术的前沿问题;(2)促进华人计算机学者的交流与合作;(3)凝聚华人计算机学者的共识
2025 ACSIC Rock Star Award
Dr. Alvin Cheung is an Associate Professor in the Computer Science Division at UC Berkeley EECS and a faculty affiliate of the Berkeley Institute for Data Science. He is a member of the Data Systems and Foundations group, Programming Systems group, Sky Lab, and SLICE Lab, and serves as an advisor to the Data Science Discovery Program as well as a technical advisor to several companies. His research focuses on data management, programming languages, and software systems to enable users, from data scientists to software engineers, to efficiently extract insights from large-scale data. His group develops techniques and tools for building scalable, efficient, and manageable data processing pipelines across domains, including web, cloud, physical sciences, healthcare, and social sciences.
2026 ACSIC BoD Candidates
Wei Ding
Dr. Wei Ding earned her Ph.D. in Computer Science from the University of Houston in 2008. She is a Distinguished Professor of Computer Science and Executive Director of the Paul English Applied AI Institute at the University of Massachusetts Boston. From 2019 to 2023, she served as a Program Director in the National Science Foundation’s Division of Information and Intelligent Systems, where she oversaw programs including Information Integration and Informatics, Smart Health and Biomedical Research, Formal Methods in the Field, Mathematical and Scientific Foundations of Deep Learning, and Principles and Practice of Scalable Systems.
Her research focuses on data mining, machine learning, artificial intelligence, and computational semantics, with applications in health sciences, astronomy, geosciences, and environmental sciences. She promotes AI for Science and Science for AI, exploring how artificial intelligence can accelerate scientific discovery and how scientific methodologies can strengthen the design and reliability of AI systems. She has published more than 150 refereed papers, authored a book, and holds three patents. Her research has been supported by NSF, NIH, NASA, and DOE. She is an IEEE Fellow, AAAI Fellow, and ACM Senior Member, and has received several honors, including the IEEE Big Data Security Leadership Award (2025), the KDD Health Day Distinguished Vision Award (2025), the NSF Director’s Award (2022), and the WISAY Distinguished Woman in Science Award from Yale University (2019).
Wei has been an active contributor to the ACSIC community. She served as Program Co-Chair of SOFC 2024, where she helped redesign elements of the conference program and introduced new professional development initiatives for faculty and researchers. She continues to serve on the ACSIC Board, supporting the organization’s mission to foster collaboration, mentorship, and leadership within the computing research community.
Dr. Xin Liu received her doctoral degree in electrical engineering from Purdue University in 2002. She is currently a Professor of Computer Science at the University of California, Davis. Her research has included extensive work on resource allocation in wireless networks, and her current focus is on developing and applying AI-driven methods in networking, food systems, and healthcare. She is an IEEE Fellow. She served as a TPC co-chair in SOFC 2025 and general chair in SOFC 2026.
Dr. Jinjun Xiong is the incoming Founding Dean of the College of AI, Cyber and Computing (CAICC) at the University of Texas at San Antonio (UTSA), where he will also hold the Microsoft President’s Endowed Professorship with both the Department of Computer Science & the Department of Computer Engineering. He is currently Empire Innovation Professor with the Department of Computer Science and Engineering at University at Buffalo (UB). He also serves as the Scientific Director for the $20 M National AI Institute for Exceptional Education, the AI lead for the $10 M IES Center for Early Literacy and Responsible AI, and Director for the SUNY-UB Institute for Artificial Intelligence and Data Science. Prior to that, he was a Senior Researcher and Program Director for AI and Hybrid Clouds Systems at the IBM Thomas J. Watson Research Center. He was the former co-founder and co-director for the IBM-Illinois Center for Cognitive Computing Systems Research (C3SR), the success of which in 5 years has led to the 10-year $200M expansion of the center to the IBM-Illinois Discovery Accelerator Institute. His research interests are on across-stack AI systems research, including AI applications, algorithms, tooling and computer architectures. Many of his research results have been adopted in IBM’s products and tools. He published more than 200 peer-reviewed papers in top AI conferences and systems conferences. His publication won 9 Best Paper Awards and 10 Nominations for Best Paper Awards.
He also won top awards from various international competitions, including the championship award for the IEEE GraphChallenge on accelerating sparse neural networks in 2020, and the First Place Awards for the 2019 DAC Systems Design Contest on designing an object detection neural network for edge FPGA and GPU devices, respectively.
Dr. Xinghui Zhao is the Director of the School of Engineering and Computer Science at Washington State University Vancouver. She joined WSU Vancouver in 2012, and previously received a Ph.D. in Computer Science from University of Saskatchewan in Canada. Dr. Zhao has extensive experience in conducting research in parallel and distributed systems, machine learning, and big data computing. She is particularly interested in interdisciplinary research projects which leverage cutting edge machine learning and AI technologies to solve large scale, real-world problems. Her research is sponsored by several federal funding agencies, foundations and industry, including NSF, DOE, DOT, BPA, Oregon Best, Microsoft, Amazon, Intel, etc. Dr. Zhao serves in multiple leadership roles, both in her institution and in her professional communities. As the school director for the School of Engineering and Computer Science at WSU Vancouver, she has greatly expanded the graduate programs, increased the research expenditure, and mentored and supported a number of junior faculty members. For her professional communities, Dr. Zhao has been very active in serving in chair roles to organize international conferences, such as IEEE Cluster, IEEE/ACM MOST, IEEE/ACM Utility and Cloud Computing (UCC), and IEEE/ACM Big Data Computing, Applications and Technologies (BDCAT). Dr. Zhao is an active member of IEEE, ACM, ASEE, and IEEE Women in Engineering. She is one of the earliest members of ACSIC, joining this community in 2014. She joined the Board of Directors in 2023. Over the years, Dr. Zhao served on several panels at the annual ACSIC SOFC conference, and she is the program chair for SOFC 2026. Dr. Zhao is committed to providing more services to ACSIC, supporting new members for their professional development, and helping the community to thrive.