Program

Hany Farid, UC Berkeley

I am a Professor in the department of Electrical Engineering & Computer Science and the School of Information at UC Berkeley. My research focuses on digital forensics, image analysis, and human perception. I received my undergraduate degree in Computer Science and Applied Mathematics from the University of Rochester in 1989, my M.S. in Computer Science from SUNY Albany, my Ph.D. in Computer Science from the University of Pennsylvania in 1997, followed by a two-year post-doctoral fellowship in Brain and Cognitive Sciences at MIT. I was on the faculty at Dartmouth College from 1999-2019 and joined the faculty at UC Berkeley in 2019. I am the recipient of an Alfred P. Sloan Fellowship, a John Simon Guggenheim Fellowship, and am a Fellow of the National Academy of Inventors.

Alyosha Efros, UC Berkeley

Alexei (Alyosha) Efros joined UC Berkeley in 2013. Prior to that, he was nine years on the faculty of Carnegie Mellon University, and has also been affiliated with École Normale Supérieure/INRIA and University of Oxford. His research is in the area of computer vision and computer graphics, especially at the intersection of the two. He is particularly interested in using data-driven techniques to tackle problems where large quantities of unlabeled visual data are readily available. Efros received his PhD in 2003 from UC Berkeley. He is a recipient of CVPR Best Paper Award (2006), NSF CAREER award (2006), Sloan Fellowship (2008), Guggenheim Fellowship (2008), Okawa Grant (2008), Finmeccanica Career Development Chair (2010), SIGGRAPH Significant New Researcher Award (2010), ECCV Best Paper Honorable Mention (2010), 3 Helmholtz Test-of-Time Prizes (1999,2003,2005), and the ACM Prize in Computing (2016).

Matthias Nießner, Technical University of Munich

Matthias Nießner is a professor at the Technical University of Munich (TUM) where he is heading the Visual Computing Group. He obtained his PhD from the University of Erlangen-Nuremberg in 2013, and was a visiting assistant professor at Stanford University from 2013 to 2017. His work focuses on static and dynamic 3D reconstruction approaches with a strong emphasis on modern machine learning techniques. A specific application of accurate 3D reconstruction is real-time face tracking, which has been developed by his group in the popular Face2Face work, an interactive approach to photo-realistically manipulate facial expressions in videos. This ability to easily create forged facial videos has received wide media attention including over 4 million views on Youtube. Matthias’ work has been published at top-tier vision and graphics venues, with more than 51 peer-reviewed international publications, including 17 ACM Transactions on Graphics (ToG) papers and 10 papers at CVPR, ECCV, ICCV.

Luisa Verdoliva, University Federico II of Naples

Luisa Verdoliva is Associate Professor at University Federico II of Naples (Italy). Her scientific interests are in the field of image and video processing, with main contributions in the areas of multimedia forensics, image biometrics, and restoration of remote sensing images. She is the Principal Investigator for the Research Unit of University Federico II of Naples in the DISPARITY (Digital, Semantic and Physical Analysis of Media Integrity) project funded by DARPA under the MEDIFOR program. Since 2017 She is Associate Editor for IEEE Transactions on Information Forensics and Security. This year she is General co-Chair of the ACM Workshop on Information Hiding and Multimedia Security and Technical Program Chair of the IEEE Workshop in Information Forensics and Security. She led her research group in several international contests, including the recent 2018 IEEE Signal Processing Cup on camera model identification (first prize) and the 2013 IEEE Image Forensics Challenge (first prize both in the detection and localization tasks).

Sam Gregory, Witness.com

Sam Gregory is Program Director of WITNESS (www.witness.org) which supports anyone, anywhere to use video and technology to fight for human rights. Founded after the Rodney King incident, WITNESS has worked for 25 years in 100+ countries, supporting critical uses of video to secure accountability, reaching millions of people with skills and tools, engaging technology giants on how their technology makes a difference, and maximizing civic participation via visual and social media.

An award-winning technologist and advocate Sam leads work around emerging opportunities and threats for activism and journalism including AI, malicious ‘deepfakes’, innovation in eyewitness video, and challenges to trust and evidence. He helped launch WITNESS’ Video as Evidence program and also supervises WITNESS’ Tech Advocacy work, which advocates to technology companies on how products protect human rights and develops tools such as ProofMode for better authentication of contentious video. He is Co-Chair of the Partnership on AI’s Working Group on Social and Societal Influence, and a member of the Technology Advisory Board of the ICC and WEF’s Global Future Council on Human Rights. He has spoken at Davos and the White House, was a 2012-17 Young Global Leader of the World Economic Forum, and from 2010-2018 taught the first graduate course at Harvard on participatory media and human rights.

Nasir Memon, New York University

Nasir Memon is a professor in the Department of Computer Science and Engineering at New York University (NYU) Tandon School of Engineering. He is also an affiliate faculty at the Computer Science Department in the Courant Institute of Mathematical Sciences at NYU. He introduced cyber security studies at NYU and is a co-founder of the Center for Cyber Security at NYU, NY and the Center for Cyber Security at NYU Abu Dhabi. He is also the founder of the OSIRIS Lab, CSAW, The Bridge to Tandon Program as well as the Cyber Fellows program at NYU. He has received several best paper awards and awards for excellence in teaching. He has been on the editorial boards of several journals, and was the Editor-In-Chief of the IEEE Transactions on Information Security and Forensics. He is an IEEE Fellow and an SPIE Fellow for his contributions to image compression and media security and forensics. His research interests include digital forensics, biometrics, data compression, network security and security and human behavior.

Shih-Fu Chang, Columbia University

Shih-Fu Chang is the Senior Executive Vice Dean and the Richard Dicker Professor of The Fu Foundation School of Engineering and Applied Science at Columbia University. He directs the Digital Video and Multimedia Lab, with research focused on multimedia information retrieval, computer vision, and machine learning. He was listed as the Most Influential Scholar in the field of Multimedia by Aminer in 2016. Results from his research have led to several startup companies that developed products and applications for image/video search engines, crime prevention, and brain machine interfaces. For his long-term contributions, he was awarded the IEEE Signal Processing Society Technical Achievement Award, ACM Multimedia Special Interest Group Technical Achievement Award, the Honorary Doctorate from the University of Amsterdam, and the IEEE Kiyo Tomiyasu Award. In his current capacity as Senior Executive Vice Dean of Columbia Engineering, he plays a key role in the School's strategic planning, research collaboration, and faculty development. He is a Fellow of the American Association for the Advancement of Science (AAAS), ACM, and IEEE.

Richard W. Vorder Bruegge, FBI

Richard W. Vorder Bruegge is a Senior Physical Scientist in the Operational Technology Division of the Federal Bureau of Investigation where he is responsible for overseeing science and technology developments in the imaging sciences, as well as consulting on other more general science and technology issues across the FBI. He has an Sc.B. in Engineering, and an Sc.M. and Ph.D. in Geological Sciences from Brown University. He has been with the FBI since 1995, where he has performed forensic analysis of image and video evidence, testifying in state, federal and international courts as an expert witness over 60 times. Dr. Vorder Bruegge was chair of the Scientific Working Group on Imaging Technology from 2000 to 2006 and chair of the Facial Identification Scientific Working Group from 2009 to 2015. He is a fellow of the American Academy of Forensic Sciences in the Digital and Multimedia Sciences Section. In 2010 he was named a Director of National Intelligence Science and Technology Fellow for his work in facial recognition. He is the Chair of the Digital & Multimedia Scientific Area Committee in the Organization of Scientific Area Committees for Forensic Science and so serves as a member of the Forensic Science Standards Board. In addition to several publications on forensic image analysis, he has also co-authored multiple peer-reviewed articles on facial recognition and identification and was co-editor of “Computer-Aided Forensic Facial Comparison” (CRC Press, 2010).

Matt Turek, DARPA

Dr. Matt Turek joined DARPA’s Information Innovation Office (I2O) as a program manager in July 2018. His research interests include computer vision, machine learning, artificial intelligence, and their application to problems with significant societal impact. Prior to his position at DARPA, Turek was at Kitware, Inc., where he led a team developing computer vision technologies. His research focused on multiple areas, including large scale behavior recognition and modeling; object detection and tracking; activity recognition; normalcy modeling and anomaly detection; and image indexing and retrieval. Turek has made significant contributions to multiple DARPA and Air Force Research Lab (AFRL) efforts and has transitioned large scale systems for operational use. Before joining Kitware, Turek worked for GE Global Research, conducting research in medical imaging and industrial inspection. Turek holds a Doctor of Philosophy in computer science from Rensselaer Polytechnic Institute, a Master of Science in electrical engineering from Marquette University, and a Bachelor of Science in electrical engineering from Clarkson University. His doctoral work focused on combinatorial optimization techniques for computer vision problems. Turek is a co-inventor on 14 patents and co-author of multiple publications, primarily in computer vision.

Arka Sadhu, University of Southern California

Arka Sadhu is a Ph.D. student at the University of Southern California working at the intersection of computer vision and natural language processing with a focus on zero shot and few shot learning. Previously, he received Bachelors in Electrical Engineering with Honors and his thesis was based on Graph Convolution Networks. He is the organizer of AVFakes19 at ICML19 and will be delivering an overview of this workshop.