Speakers

Anil Jain is a Distinguished Professor of Computer Science at Michigan State University. He is a Fellow of the ACM and IEEE and is a recipient of Guggenheim, Humboldt, Fulbright, and King-Sun Fu awards. He served as editor-in-chief of the IEEE Transactions on Pattern Analysis and Machine Intelligence, and a member of the United States Defense Science Board and Forensic Science Standards Board. Jain is a member of the U.S. National Academy of Engineering, and a foreign member of Indian National Academy of Engineering and Chinese Academy of Sciences.

Davide Maltoni is a Full Professor at University of Bologna (Dept. of Computer Science and Engineering - DISI). He teaches "Computer Architectures" and "Machine Learning" at University of Bologna, Cesena. Davide Maltoni's research interests are in the area of Pattern Recognition, Computer Vision, Machine Learning and Computational Neuroscience. In particular, he is active in the field of Biometric Systems (fingerprint recognition, face recognition, hand recognition, performance evaluation of biometric systems).

Davide Maltoni is co-director of the Biometric Systems Laboratory (BioLab), which is internationally known for its research and publications in the field. Several original techniques have been proposed by BioLab team for fingerprint feature extraction, matching and classification, for hand shape verification, for face location and for performance evaluation of biometric systems. In particular, BioLab developed and published the first algorithm able to meet the FBI error requirements for automatic fingerprint classification and developed SFinGe, the first effective method for generating realistic synthetic fingerprint databases.

In cooperation with Prof. A.K. Jain from Michigan State University and Prof. J. Wayman from San Josè University, BioLab organized the First, Second, Third and Fourth International Competitions for Fingerprint Verification Algorithms (FVC2000, FVC2002, FVC2004 and FVC2006). Davide Maltoni is co-author of the Handbook of Fingerprint Recognition published by Springer, 2009, and co-editor of Biometric Systems - Technology, Design and Performance Evaluation Springer, 2005. He holds three patents on Fingerprint Recognition. Davide Maltoni served as Associate Editor for the international journals: Pattern Recognition and IEEE Transactions on Information Forensic and Security and is currently Associate Editor of the journal IEEE Transactions on Pattern Analysis Machine Intelligence. He has been elected IAPR (International Association for Pattern Recognition) Fellow 2010.

Dr Sébastien Marcel (IEEE Senior Member) received the Ph.D. degree in signal processing from Université de Rennes I in France (2000) at CNET, the research center of France Telecom (now Orange Labs). He is currently interested in pattern recognition and machine learning with a focus on biometrics security and privacy.

He is a senior researcher at the Idiap Research Institute, where he heads the Biometrics Security and Privacy group and conducts research on face recognition, speaker recognition, vein recognition and presentation attack detection (anti-spoofing). The Biometrics Security and Privacy group prioritises reproducibility in research and make freely available the signal-processing and machine-learning toolbox Bob and the BEAT platform.

He is lecturer at the Ecole Polytechnique Fédérale de Lausanne where he is teaching on “Fundamentals in Statistical Pattern Recognition” at the Doctoral School and the University of Lausanne where he is teaching on «Biometrics» in a Master program. He is Associate Editor of IEEE Transactions on Biometrics, Behavior, and Identity Science (TBIOM). He was VP Conferences of the IEEE Biometrics Council, Associate Editor of IEEE Signal Processing Letters, Associate Editor of IEEE Transactions on Information Forensics and Security (TIFS), a Co-editor of the “Handbook of Biometric Anti-Spoofing”, a Guest Editor of the IEEE Transactions on Information Forensics and Security Special Issue on “Biometric Spoofing and Countermeasures”, and Co-editor of the IEEE Signal Processing Magazine Special Issue on “Biometric Security and Privacy”. He was the principal investigator of international research projects including MOBIO ( EU FP7 Mobile Biometry), TABULA RASA (EU FP7 Trusted Biometrics under Spoofing Attacks) and BEAT ( EU FP7 Biometrics Evaluation and Testing).

Finally he is the Director of the Swiss Center for Biometrics Research and Testing at Idiap conducting the FIDO certifications and affiliates-driven research under CITeR.

Didier Meuwly is born in 1968 in Fribourg, Switzerland. After a classical education (Latin / Philosophy), he graduated as a criminalist and criminologist (1993) and received his PhD (2000) at the School for Forensic Science (ESC) of the University of Lausanne, Switzerland.

He currently shares his time between the Forensic Institute of the Dutch Ministry of Security and Justice (Netherlands Forensic Institute – NFI), where he is a principal scientist, and the University of Twente (UT), where he holds the chair of Forensic Biometrics from 2013 onwards. He specializes in the automation and validation of the probabilistic evaluation of forensic evidence, and more specifically biometric traces. From 2002 to 2004 he worked as a senior forensic scientist at the R & D department of the UK Forensic Science Service (FSS), then an executive agency of the UK Ministry of the Interior.

Didier has served as a criminalist in several international terrorist cases on request of the ICTY, STL, UN and UK, has authored and coauthored more than 60 scientific publications and book chapters in the field of forensic science.

Didier is an associate and guest editor of Forensic Science International (FSI), a member of the R & D standing committee for research and development of the European Network of Forensic Science Institutes (ENFSI) and a member of the ISO Technical Committee 272 editing the first ISO forensic science standard (21043).

Karthik Nandakumar is a Research Staff Member at IBM Research, Singapore. Prior to joining IBM in 2014, he was a Scientist at Institute for Infocomm Research, A*STAR, Singapore for more than six years. He received his B.E. degree (2002) from Anna University, Chennai, India, M.S. degrees in Computer Science (2005) and Statistics (2007), and Ph.D. degree in Computer Science (2008) from Michigan State University, and M.Sc. degree in Management of Technology (2012) from National University of Singapore. His research interests include computer vision, statistical pattern recognition, biometric authentication, image processing, and machine learning. He has co-authored two books titled Introduction to Biometrics (Springer, 2011) and Handbook of Multibiometrics (Springer, 2006). He has received a number of awards including the 2008 Fitch H. Beach Outstanding Graduate Research Award from the College of Engineering at Michigan State University, the Best Paper award from the Pattern Recognition journal (2005), the Best Scientific Paper Award (Biometrics Track) at ICPR 2008, and the 2010 IEEE Signal Processing Society Young Author Best Paper Award. He is a senior member of the IEEE.

Dr. Margarita Osadchy is with the Department of Computer Science at the University of Haifa. Her main research interests are machine learning, deep learning, computer vision, and cyber security. She was one of the pioneers of deep learning and her work on secure computation of face identification won a Best Paper Award in IEEE Symposium on Security & Privacy.

Margarita has been a PI on many projects, including grants from the Israeli Ministry of Science, Israeli Science Foundation (ISF), Israeli Ministry of Science and Technology (MOST), Israel's Department of Defense Research & Development (MAFAT), and Israeli Ministry of Industry and Trade (MAGNET) and VATAT. Furthermore, Margarita is a member of the scientific steering committee of the Center for Cyber Law and Policy at the University of Haifa.

Previously, she was a visiting research scientist at the NEC Research Institute and a postdoctoral fellow in the Department of Computer Science at the Technion - Israel Institute of Technology. She received her PhD with honours in computer science from the University of Haifa.

Dr. P. Jonathon Phillips is an Electronic Engineer at the National Institute of Standards and Technology's Information Technology Laboratory. Jonathon is a leading researcher in the fields of computer vision, face recognition, biometrics, and forensics. He pioneered the development of competitions in face recognition, biometrics and computer vision. These competitions include the Iris Challenge Evaluations (ICE), the Face Recognition Vendor Test (FRVT) 2002 and 2006, the Face Recognition Grand Challenge and FERET. For his work on the FRVT 2002 he was awarded the Dept. of Commerce Gold Medal. With collaborators, he pioneered systematically comparing human and algorithm face recognition accuracy. In the wake of the National Academies report on Forensics Sciences, this work was adapted to measuring the accuracy of facial forensic examiners and people with superior face recognition ability—facial super-recognizers. From 2000-2004, Dr. Phillips was assigned to the Defense Advanced Projects Agency (DARPA) as program manager for the Human Identification at a Distance program. His work has been reported in print media of record including the New York Times and the Economist. He has appeared on National Public Radio’s ScienceFriday. He received his Ph.D. in operations research from Rutgers University. From 2004-2008 he was an Associate Editor for the IEEE Trans. on Pattern Analysis and Machine Intelligence and guest editor of an issue of the Proceedings of the IEEE on biometrics. In an Essential Science Indicators analysis of face recognition publication over the past decade, Jonathon's work ranks at #2 by total citations and #1 by cites per paper. He has published over 100 peer reviewed papers in face recognition, computer vision, biometrics, psychology, forensics, statistics, and neuroscience. His papers have received over 30,000 Google citations. He won the inaugural IEEE Mark Everingham Prize and the 2018 IEEE Biometric Council Leadership Award. He is a Fellow of the IEEE and the IAPR.

Arun Ross is the Cillag Endowed Chair in the College of Engineering and a Professor in the Department of Computer Science and Engineering at Michigan State University. He also serves as the MSU Site Director of the Center for Identification Technology Research (CITeR).

His research expertise is in biometrics, computer vision and machine learning. He is currently working with his research team on topics related to biometrics security and privacy, image forensics, multimodal fusion, cross-spectral biometrics and interpretable machine learning models. He is the co-author of the monograph “Handbook of Multibiometrics” and the textbook “Introduction to Biometrics”.

Ross was designated a Kavli Fellow by the US National Academy of Sciences in 2006. He received the JK Aggarwal Prize in 2014 and the Young Biometrics Investigator Award in 2013 from the International Association of Pattern Recognition. He is also a recipient of the NSF CAREER Award, the 2005 Biennial Pattern Recognition Journal Best Paper Award and the Five Year Highly Cited BTAS 2009 Paper Award.

Ross has advocated for the responsible use of biometrics in multiple forums including the NATO Advanced Research Workshop on Identity and Security in Switzerland in 2018 and a counter-terrorism event organized by the United Nations Counter-Terrorism Committee (CTC) at the UN Headquarters in May 2013.

Webpage: http://iprobe.cse.msu.edu/

Dr. Rita Singh is an Associate Research Professor at the School of Computer Science at Carnegie Mellon University (CMU) in Pittsburgh, USA, and (by courtesy) at the Electrical and Computer Engineering Department at CMU. She is also affiliated to the Institute for Strategic Analysis, and the Cyber Security & Privacy Institute (Cylab), CMU. Her academic career spans over two decades of research on a wide range of topics in the areas of speech and audio signal processing, multimedia forensics and cyber forensics. Her current work is focused on creating and developing the science of profiling human from their voice, a new sub-area of Artificial Intelligence and Voice Forensics. The technology pioneered by her group has led to two world firsts: In September 2018, her team created the world’s first live voice-based profiling system, demonstrated live at the World Economic Forum in Tianjin, China. In 2019 her group also created the world’s first instance of human voice – that of the artist Rembrandt – generated based on evidence from facial images. This work was commissioned by Walter Thompson Inc., and backed by the Rijksmuseum in Holland and ING Bank of Europe. At CMU, she teaches Computational Forensics and AI, Multimedia processing, and Quantum Computing (all graduate level courses in CS), and is the author of the book “Profiling Humans from their Voice,” published in June 2019 by Springer-Nature, Singapore.

Mr. Vemury manages a portfolio of innovative Research, Development, Test and Evaluation (RDT&E) projects to transform people screening, inspection, and facilitation processes for the DHS Science and Technology Directorate (S&T). His projects have included a number of activities to facilitate implementation of face, iris, and non-contact fingerprint recognition and other complimentary technologies to enabled improved DHS operational capabilities. He has received numerous DHS awards and co-authored technical publications on various aspects of biometric technologies.

Lior Wolf is a research scientist at Facebook AI Research and a full professor at the School of Computer Science at Tel-Aviv University. Previously, he was a post-doctoral associate in Prof. Poggio's lab at MIT. He graduated from the Hebrew University, Jerusalem, where he worked under the supervision of Prof. Shashua. Lior Wolf is an ERC grantee and has received the ICCV 2001 Marr Prize honorable mention, the ICCV 2019 best paper honorable mention, and the best paper awards at ECCV 2000, the post ICCV 2009 workshop on eHeritage, the pre-CVPR2013 workshop on action recognition and ICANN 2016. His research focuses on computer vision and deep learning and includes topics such as face identification, document analysis, voice generation, natural language processing, digital paleography, and video action recognition.

Galit Yovel is a Prof. in the School of Psychological Sciences and the Sagol School of Neuroscience at Tel Aviv University. She received her BA degree in Psychology and Philosophy at Tel Aviv University. She completed her PhD in Psychology/Cognitive Neuroscience at the University of Chicago under the supervision of Jerre Levy and Ken Paller (Northwestern University) and her post-doctoral studies in the Department of Brain and Cognitive Sciences at MIT under the supervision of Nancy Kanwisher. In 2005, she set up the Person Recognition Lab at Tel Aviv University where she has employed fMRI, EEG, TMS, eye tracking, behavioral experiments and recently also computational modelling to understand how humans recognize people. Her work goes beyond the face and examines the role of the body, voice, motion as well as the contribution of conceptual and social information in person recognition.