[Seminar] Towards A More Responsible World: When AI, Open Data, and Usable Security Meet Each Other
Wednesday, March 2, 2022
11:00 am - 12:00 pm
Data Science Postdoctoral Fellow
Information School, University of Washington
Hybrid: PGH 232 and online via Zoom*
*Microsoft 365 @cougarnet.uh.edu authentication required to join via Zoom
Ubiquitous open data and advances in artificial intelligence (AI) are securing the future of an intelligent world. It is challenging and imperative to ensure such a future to be responsible with more transparency, more security, and more fairness. In this talk, Yunhe will first share his understanding of responsible computing from multiple perspectives. Then he will present how AI inspires usable security solutions, how open data facilitates transparent and timely decision making, and how adversarial attacks trigger bias in black-box AI systems. Yunhe will also summarize his interdisciplinary research in health and present his future research plans.
About the Speaker
Yunhe Feng is a Data Science Postdoctoral Fellow in the Information School at the University of Washington. His research interest lies in Responsible AI, Mobile Security and Privacy, and Big Data Analytics. Yunhe obtained his B.E. in Computer Science & Technology and M.E. in Computer Technology from Beijing University of Technology in 2011 and 2014 respectively, and his Ph.D. in Computer Science from the University of Tennessee Knoxville (UTK) in 2020. Yunhe also worked as a deep learning research intern (Summer 2018) and research assistant (Dec. 2018 - Sep. 2019) at Oak Ridge National Laboratory during his Ph.D. training. He has received several fellowships and awards, including UW Data Science Fellowship, UTK Min H. Kao Fellowship (the highest departmental award), UTK EECS Department Excellence Fellowship, a Best Paper Award by IEEE BigDataSecurity’18, and two Best Paper/Presentation Nominations by IEEE CloudCom’17 and ACM UbiComp’20. His research has been sponsored by both academic and industrial grants, including UW Strategic Research Fund, Google Cloud & Harvard Global Health Institute COVID-19 Research Credits, UW-Microsoft Azure Cloud Computing Credits, Kaggle’s Open Data Research Grant, and NSF-funded XSEDE (Extreme Science and Engineering Discovery Environment) Startup Allocation. Yunhe’s research has been covered internationally by news outlets, including Financial Times, Business Insider, Yahoo! Finance, UW News, AAAS EurekAlert!, and ACM Tech News.