معرفی
Wendy Hui Wang is a Professor and Associate Chair for PhD Studies and Research in the Department of Computer Science at Stevens Institute of Technology's Charles V. Schaefer, Jr. School of Engineering and Science. She has served on faculty since 2008, progressing from Assistant Professor (2008-2016) to Associate Professor (2016-present) before attaining full Professorship.
Her educational background includes a Ph.D. in Computer Science from the University of British Columbia, Vancouver, Canada.
Dr. Wang's research centers on enhancing machine learning trustworthiness through three critical pillars: Privacy (fortifying systems against attacks), Fairness (identifying and mitigating algorithmic biases), and Accountability (enabling auditability of ML decisions). Her work bridges machine learning, data mining, security, and privacy across diverse application domains.
She has received the prestigious NSF CAREER Award (2014) for her research on verifiable computing and machine learning.
Dr. Wang actively mentors PhD students as Associate Chair for PhD Studies and Research, with current funding from NSF, Cisco, and Google supporting projects including 'Securing Network Embedding against Privacy Attacks' and 'Privacy for All: Ensuring Fair Privacy Protection in Machine Learning'.
Institutional leadership includes roles as Associate Director of CS PhD Program, Chair of SES Doctoral Committee, and membership on Stevens' Strategic Plan Committee. Professionally, she serves on program committees for SIGMOD (2023-2025), VLDB (2023-2024), SIGKDD (2021-2024), and IJCAI (2022-2024), while regularly reviewing for NSF panels and journals including IEEE TKDE and ACM TKDD.
