Binghui (Alan) Wang

Assistant Professor
Department of Computer Science
Illinois Institute of Technology
Email: bwang70@iit.edu
Office: Stuart Building, 216C, 10 W 31st St, Chicago, IL 60616
PhD advisor: Neil Zhenqiang Gong
Research areas: Trustworthy AI, Data-Driven Security and Privacy, and AI/Data Science

Member: Chicago-area IDEAL Institute

Openings: I'm always looking for highly motivated postdocs, Ph.D. students, visiting scholars/students, and research interns to join my group. If you are interested, please send an email to alanwbh@gmail.com with your CV and transcripts attached.

About Me

I have been an Assistant Professor in the Department of Computer Science at Illinois Institute of Technology (Illinois Tech) since August 2021. I am interested in Trustworthy AI and Security & Privacy.

I did my postdoc at Duke University from Aug. 2019 to Jul. 2021, working with Neil Gong and Yiran Chen. I earned my Ph.D degree from Iowa State University in May 2019, advised by Neil Gong. I obtained both my M.Sc and B.E degrees from Dalian University of Technology, China, in 2015 and 2012, respectively, with the highest honor.

I am a recipient of the NSF CAREER Award (2024), Cisco Research Award (2022), Amazon Research Award (2020), and recognized as the Global Top 50 Chinese Rising Stars in AI + X by Baidu Scholar (2022). My work has won multiple best paper awards (CCS’24, CVPRW’20) and honorable mention awards (NDSS’19).

Honors and Awards

2024 CCS Distinguished Paper Award
2024 NSF CAREER Award
2023 NSF CRII Award
2022 Cisco Research Award
2022 Global Top 50 Chinese Rising Stars in AI + X, by Baidu Scholar. 百度学术高潜力AI华人青年学者 (Chinese)
2021 GLSVLSI Service Recognition Award
2020 Amazon Research Award
2020 DeepMind Best Extended Abstract
2019 NDSS Distinguished Paper Award Honorable Mention
2018 Research Excellence Award, Iowa State University
2017 INFOCOM Selected Paper for Fast Tracking
2014 Qu Bochuan Scholarship, the highest honor in DUT

Teaching

Introduction to Machine Learning (CS 484): Fall 2024
Trustworthy Machine Learning (CS 595): Spring 2024, Fall 2022
Machine Learning (CS 584): Fall 2023, Spring 2022
Data Security and Privacy (CS 528): Spring 2023

Professional Services

Conference/Workshop Organizer

Seminar on Frontiers of Data Science (FDS): Theory, Applications, and Trustworthiness, Fall 2023
IDEAL Workshop on New Perspectives on Data Science with Imperfect Data, 2023
Local organization chair of Fifth ACSIC Symposium on Frontiers in Computing (SOFC), 2022
Presentation chair of Great Lakes Symposium on VLSI (GLSVLSI), 2021

Proposal Review and Panelists

National Science Foundation (NSF)
Research Grants Council (RGC) of Hong Kong

Conference Program Committee

ACM Conference on Computer and Communications Security (CCS), 2022-
Neural Information Processing Systems (NeurIPS), 2021-
International Conference on Machine Learning (ICML), 2021-
International Conference on Learning Representations (ICLR), 2021-
Computer Vision and Pattern Recognition (CVPR), 2021-
International Conference on Computer Vision (ICCV), 2021-
European Conference on Computer Vision (ECCV), 2022-
AAAI Conference on Artificial Intelligence (AAAI), 2021-
International Joint Conference on Artificial Intelligence (IJCAI), 2021-
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2022-
Design Automation Conference (DAC), 2022
IEEE Symposium on Security and Privacy (IEEE S & P) , 2019 (Student PC)

Journal Reviewer

Journal of Machine Learning Research (JMLR)
IEEE Transactions on Knowledge and Data Engineering (TKDE)
IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
IEEE Transactions on Information Forensics and Security (TIFS)
IEEE Transactions on Dependable and Secure Computing (TDSC)
Computer & Security
ACM Transactions on Privacy and Security (TOPS)
ACM Computing Surveys (CSUR)
IEEE Transactions on Network Science and Engineering (TNSE)
IEEE Transactions on Wireless Communications (TWC)
IEEE Transactions on Biomedical Engineering (TBME)