ACSIC BOD Candidates
丁薇教授，目前在NSF工作，同时是麻省大学波士顿分校，计算机系正教授。她在数据挖掘和大数据方面做出了很多的贡献，并将其应用于生物信息学、健康科学、天文学、地球科学和环境科学。她提出了HACE定理，以建立数据密集型研究框架，用于数据挖掘和大数据（理论）; 她结合了科学领域知识，并设计了流式特征选择来处理具有极高维度的数据（算法）; 她为多模数据分布设计了新的本地距离学习度量，并通过对比数据挖掘和深度学习神经网络进行特征工程（模型）。她在数据挖掘和大数据研究方面的贡献使得她在2023年获得了IEEE Fellow。 在2019年至2023年美国国家自然基金会做科研资金项目经理期间，她荣获了杰出科研项目经理奖。 她的其它奖励包括IEEE人工智能工具国际会议2011年和IEEE认知信息学国际会议2010年的两个最佳论文奖，以及ACM SIGSPATIAL国际地理信息系统会议2008年的一个海报奖。2010年和2011年ACM SIGSPATIAL国际地理信息系统会议的两个服务奖， 2012年国际应用智能学会第25届工业、工程和其他应用智能系统国际会议的特别服务奖。 截至2023年3月，她在IEEE TKDE 2013年论文在的数据密集型研究和大数据革命的工作已经获得了3,395多次引用, Google 学者论文引用次数总计7,718。在2008年休斯敦大学毕业后，休斯敦大学授予她2007年至2010年最佳博士论文奖，并在2018年授予她杰出校友奖。由于她在数据挖掘和数据科学方面的杰出贡献，耶鲁大学于2019年授予她WISAY杰出女性科学家奖。
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 papers won best paper awards at multiple international conferences, and 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. Because of her contributions to WSU, she was nominated by WSU Provost’s office as one of the only 4 female leaders across the WSU system (6 campuses) to receive the nationally recognized leadership training through the Higher Education Resource Services’ Leadership Institute (HERS) in 2023. 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 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, even before ACSIC was officially formed. Dr. Zhao is committed to providing more services to ACSIC, supporting new members for their professional development, and helping the community to thrive.
Chunming Qiao is a SUNY Distinguished Professor of the CSE Department at University at Buffalo. He has lead the Lab for Advanced Network Design, Evaluation and Research (LANDR) at UB since 1993. His current research interests cover not only the safety and reliability of various cyber physical systems (such as transportation systems with connected and autonomous vehicles, critical infrastructures involving power grid and communications networks, and cloud services), but also algorithms and protocols for distributed quantum computing, and Internet of Things, including smartphone based systems and applications. He has published extensively with an h-index of over 76 (according to Google Scholar). Several of his papers have received the best paper awards from IEEE and Joint ACM/IEEE venues. He also has 7 US patents and served as a consultant for several IT and Telecommunications companies since 2000. His research has been featured in BusinessWeek, Wireless Europe, CBC and New Scientists. He was elected to IEEE Fellow for his contributions to optical and wireless network architectures and Protocols.
Qun Li is a professor in the Department of Computer Science at William & Mary. He received his PhD from Dartmouth College and has since dedicated his research to exploring quantum computing, edge computing, cyber-physical systems, wireless & mobile computing, deep learning, and security & privacy. Qun Li has authored over 100 publications, comprising international journal articles, book chapters, conference/workshop papers, and technical reports. Many of his works are published in prestigious conferences and journals. He has chaired many conferences, including serving as general chair and program chair of SEC, area chair for IEEE Infocom, and track chair for IEEE ICDCS. He was also the steering committee chair of IEEE Transactions on Multi-Scale Computing Systems. Qun Li has served as a TPC member for numerous conferences and workshops and was an Associate Editor of IEEE Transactions on Wireless Communications. He currently serves on the editorial board of IEEE Internet Computing and IEEE Transactions on Computers, where he continues to make significant contributions to the field. He is the recipient of an NSF Career award and an IEEE Fellow. More importantly, he is a proud lifetime member of ACSIC.