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Haiying Guan (Fed)

Dr. Haiying Guan received her PhD degree in Computer Science from the University of California Santa Barbara, United States. She is a Computer Scientist in the Multimedia Information Group (MIG), Information Access Division (IAD), Information Technology Laboratory (ITL) at National Institute of Standards and Technology (NIST). She is currently the technical lead of Open Media Forensics Challenge (OpenMFC) evaluation program. She was a co-PI on Media Forensics Challenge (MFC) evaluation project sponsored by DARPA (Defense Advanced Research Projects Agency) MediFor program. She has government, industry, and academic research experiences in computer vision, media forensics, deepfakes, biometrics, medical image processing, video analytics and quality measures, and human-computer interaction and usability. Her current research interests focus on the evaluation program design and benchmark dataset collection for Artificial Intelligence (AI) system evaluation.



  • Bronze Medal Award, Department of Commerce, 2022


Open Media Forensics Challenge 2022 Evaluation Plan

Haiying Guan, Yooyoung Lee, Lukas Diduch
This document describes the system evaluation tasks supported by the Open Media Forensics Challenge (OpenMFC) 2022. The evaluation plan covers resources, task

Open Media Forensics Challenge (OpenMFC) 2020-2021: Past, Present, and Future

Haiying Guan, Yooyoung Lee, Lukas Diduch, Jesse Zhang, Ilia Ghorbanian Bajgiran, Timothee Kheyrkhah, Peter Fontana, Jonathan G. Fiscus
This document describes the online leaderboard public evaluation program, Open Media Forensics Challenge (OpenMFC) 2021-2022. In the report, first, the
Created October 9, 2019, Updated December 8, 2022