Hui Wang (hwang4)

Hui Wang

Associate Professor

Gateway Center S352
(201) 216-8736
(201) 216-8249
Website

Research

Data security and privacy
Algorithmic fairness in machine learning
Trustworthy machine learning

Institutional Service

  • Faculty senate Member
  • Department promotion & Tenure committee Member
  • PhD coordinator Chair
  • SES Faculty Advisory Council (FAC) Member
  • Data Science PhD program Member
  • Stevens Strategic Plan Committee Member
  • CS Faculty mentoring program committee Chair
  • CS Chair Search Committee Chair
  • Faculty Ambassadors for Undergraduate CS students Member
  • Director of Data Science PhD Program Chair
  • Lead undergraduate advisors Member

Professional Service

  • Short Paper Track of Conference on Information and Knowledge Management (CIKM), 2022 Co-Chair
  • The ACM International Conference on Management of Data (SIGMOD), 2023 Program Committee member
  • nternational Conference on Very Large Databases (VLDB), 2023 Program committee member
  • European Conference on Machine Learning and Principles and Practice of Knowledge Dis- covery in Databases (ECML/PKDD) Program committee member
  • ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD) 2022 Program committee member
  • National Science Foundation Panelist
  • International Joint Conference on Artificial Intelligenc (IJCAI) 2022 Senior program committee member
  • National Science Foundation Panelist
  • he Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Program committee member
  • ACSAC'22 conference Program committee member
  • PVLDB Program committee member
  • SIGMOD'22 conference Program committee member
  • EDBT'22 conference Program committee
  • NSF Panlist
  • ACM SIGKDD'21 conference Program committee member
  • NSF Panelist
  • NSF Panelist
  • Department of Energy (DOE) Panelist
  • SDM'21 conference Program committee member
  • ACM SIGMOD conference Web Chair
  • The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD) 2020 Program committee member
  • International Conference on Very Large Data Bases (VLDB) 2020 Program committee member
  • 34th Annual IFIP WG 11.3 Conference on Data and Applications Security and Privacy (DBSec) 2020 Program committee member
  • International Joint Conferences on Artificial Intelligence (IJCAI) 2020 Program committee member
  • Cyber Women workshop affiliated with CODASPY conference Panelist
  • NSF Panelist
  • The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) Program committee member
  • 11th ACM Conference on Data and Application Security and Privacy (CODASPY)'20 conference Program committee member
  • NSF Panelist
  • SIAM International Conference on Data Mining (SDM20) conference Program committee member
  • The 23rd International Conference on Extending Database Technology (EDBT) 2020 Program committee member
  • National science foundation NSF panels
  • Department of Energy DOE panalist
  • National science foundation NSF panels
  • Information systems Journal reviewer
  • ACM Transactions on Knowledge Discovery from Data (TKDD) Journal reviewer
  • IEEE Transactions on Knowledge and Data Engineering (TKDE) Journal reviewer
  • SIAM International Conference on Data Mining (SDM19) conference committee member
  • ACM Conference on Data and Applications Security and Privacy (ACM CODASPY) conference committee member
  • IEEE ACCESS Journal reviewer
  • Distributed and Parallel Databases Journal reviewer
  • PLOS One Journal reviewer

Appointments

09/2016 - present, Associate professor, Stevens Institute of Technology
01/2008- 08/2016, Assistant Professor, Stevens Institute of Technology

Honors and Awards

NSF CAREER award, 2014.

Professional Societies

  • ACM – Association for Computing Machinery Member
  • IEEE – Institute of Electrical and Electronics Engineers Member

Grants, Contracts and Funds

NSF SaTC CORE Small Securing Network Embedding against Privacy Attacks (NationalScience Foundation),

NSF SaTC CORE Medium Privacy for All Ensuring Fair Privacy Protection in MachineLearning (National Science Foundation)