Dr. Wenbin Zhang is an Assistant Professor in the Knight Foundation School of Computing and Information Sciences at Florida International University and an Associate Member of the Te Ipu o Te Mahara Artificial Intelligence Institute. His research focuses on the theoretical foundations of machine learning, with an emphasis on responsible and socially beneficial AI. He has applied his work across multiple domains, including healthcare, digital forensics, energy, transportation, and finance. Dr. Zhang has received several honors, including the NSF CRII Award, the Leibniz Fellowship, the Distinguished SPC Award for IJCAI’23, and recognition in the Stanford/Elsevier Top 2% Scientists List. His research has also earned best paper awards/candidates at ECML PKDD’25, FAccT’23, ICDM’23, DAMI, and ICDM’21, and he was featured in the AAAI’24 New Faculty Highlights. He actively contributes to the AI and interdisciplinary communities through leadership roles on organizing committees and editorial boards of leading venues, including as Sponsorship Chair for AAAI’26, Volunteer Chair for WSDM’24, Associate Editor for ACM Computing Surveys, and Action Editor for Data Mining and Knowledge Discovery.    

2020 Ph.D., University of Maryland, Baltimore County