EAI-KDD'24 - Organization

Workshop Chairs

	Chen Zhao, Baylor University. Short bio: Dr. Zhao is an Assistant Professor in the Department of Computer Science at Baylor University. His research focuses on machine learning, data mining, and artificial intelligence, particularly fairness-aware machine learning, novelty detection, and domain generalization. His publications have been accepted and published in premier conferences, including KDD, CVPR, ICDM, AAAI, WWW, etc. Dr. Zhao served as a PC member of top international conferences, such as KDD, NeurIPS, IJCAI, ICML, AAAI, ICLR, etc. He has helped organize and chair multiple workshops, including the workshops on Ethical AI (EAI-KDD’22, EAI-KDD’23, EAI-KDD'24) and the workshops on Uncertainty Reasoning and Quantification in Decision Making (UDM-AAAI’23, UDM-KDD'23, UDM-KDD'24).
	Feng Chen, The University of Texas at Dallas Short bio: Dr. Chen is an Associate Professor at the Department of Computer Science at the University of Texas at Dallas, where he directs the Pattern Discovery and Machine Learning Laboratory. He was previously an Assistant Professor at the University at Albany – SUNY and a Postdoctoral Fellow at Carnegie Mellon University. He received his Ph.D. in Computer Science from Virginia Tech in 2012. Dr. Chen’s research interests include large-scale data mining, network mining, and machine learning, focusing on event and pattern discovery in massive, complex networks. His research has been funded by NSF, NIH, ARO, IARPA, and the U.S. Department of Transportation and published in more than 100 peer-reviewed premier conferences, such as KDD, ICDM, WWW, CIKM, AAAI, IJCAI, ICML, and NeurIPS, and in top journals, such as TKDD, TKDE, TIST, KAIS, and Proceedings of the ACM and IEEE. He received the NSF CAREER award in 2018 and the NSF FAI award entitled “A Novel Paradigm for Fairness-Aware Deep Learning Models on Data Streams” in 2022 as the principal investigator (PI).
	Xintao Wu, University of Arkansas Short bio: Dr. Wu is a Professor and the Charles D. Morgan/Acxiom Endowed Graduate Research Chair in Database and leads the Social Awareness and Intelligent Learning (SAIL) Lab in the Computer Science and Computer Engineering Department at the University of Arkansas. Dr. Wu has co-authored over 150 scholarly papers, many of which were published in premier conferences. Dr. Wu is an associate editor or editorial board member of several journals and program committees as area chair, senior PC, and PC of top international conferences. He also served as the program co-chair of the 2020 IEEE International Conference on Big Data, publication co-chair of KDD15, and award co-chair of DSAA 18 & 19. Dr. Wu gave multiple tutorials on causality-based ethical AI at top international conferences, including ACM KDD and IEEE BigData.
	Jundong Li, University of Virginia. Short bio: Dr. Li is an Assistant Professor at the University of Virginia. His research interests are data mining and machine learning, focusing on graph machine learning, trustworthy/safe machine learning, and, more recently, large language models. He has published over 150 papers in high-impact venues (including KDD, NeruIPS, ICLR, WWW, SIGIR, WSDM, IJCAI, AAAI, SIGIR, ACL, EMNLP, CIKM, ICDM, SDM, ECML-PKDD, CSUR, TPAMI, TKDE, TKDD, TIST, etc.), with over 10,000 citation count. He has won several prestigious awards, including SIGKDD Best Research Paper Award (2022), NSF CAREER Award (2022), PAKDD Early Career Research Award (2023), JP Morgan Chase Faculty Research Award (2021 \& 2022), Cisco Faculty Research Award (2021), and being selected for the AAAI New Faculty Highlights roster (2021). His group's research is generously supported by NSF (CAREER, III, SaTC, SAI), DOE, Commonwealth Cyber Initiative, Jefferson Lab, JP Morgan, Cisco, and Snap.
	Haifeng Chen, NEC Laboratories America. Short bio: Dr. Haifeng Chen is heading the Data Science and Systems Security Department at NEC Laboratories America. Haifeng has served on the program committee for several top conferences, such as SigKDD and AAAI, and has been on the panel of NSF programs. He has co-authored more than a hundred conference/journal publications, including best papers from top conferences such as SigKDD, and has over 60 patents. Most research results have led to advanced solutions and products for various industrial domains, including IT & data centers, network security, power plants, petroleum, satellite, natural disaster, finance, and retail businesses. In recognition of his extraordinary research contribution, Haifeng has received many awards in the past years, including the 2014 “NEC Contributors of the Year.”

Program Committee

To be announced.