Featured Event:

ACSIC ANNUAL Conference ：SOFC 2026 

第8届北美计算机华人学者年会暨计算技术前沿研讨会于2025年5月30-31日在华盛顿特区举行。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

Alvin Chueng

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

Jinjun Xiong

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.