About Di Wang Di Wang Assistant Professor, Computer Science machine learning data mining privacy security Professor Wang's research addresses issues and societal concerns arising from machine learning, particularly in the areas of privacy, security, safety, fairness, robustness, interpretability and transparency. He aims to develop provable and practical algorithms to address trustworthiness issues in machine learning. Articles Related News February 2021 CEMSE New Faculty: Di Wang, Assistant Professor of Computer Science 2 min read · Wed, Feb 17 2021 News Di Wang, assistant professor of computer science, joined KAUST in January 2021 to take up his new role as principal investigator of the KAUST Privacy-Awareness, Responsibility and Trustworthy (PART) Lab. Wang’s research interests include machine learning (ML), security, theoretical computer science, and data mining.
CEMSE New Faculty: Di Wang, Assistant Professor of Computer Science 2 min read · Wed, Feb 17 2021 News Di Wang, assistant professor of computer science, joined KAUST in January 2021 to take up his new role as principal investigator of the KAUST Privacy-Awareness, Responsibility and Trustworthy (PART) Lab. Wang’s research interests include machine learning (ML), security, theoretical computer science, and data mining.
Engage ORCID ShareClipboard Related Sites Computer Science (CS) Center of Excellence for Generative AI (GenAI) Privacy Awareness, Responsibility and Trustworthy Lab (PART) Statistics (STAT) Related Content Articles 1 Events 5 Related Links Publications on Google Scholar LinkedIn Profile Personal website
