Pierre Moulin  
Professor 
Department of Electrical and Computer Engineering 
Beckman Institute 
University of Illinois at Urbana-Champaign



Contact Information

 2265 Beckman Institute
405 N. Mathews
Urbana, IL 61801
Tel.: 217-244-8366
Fax: 217-244-8371
email: moulin@ifp.uiuc.edu



Profile

Pierre Moulin received his Engineer degree from the Ecole Polytechnique of Mons, Belgium, and his doctorate from Washington University in St. Louis (1990). After working as a Research Scientist for Bell Communications Research in Morristown, New Jersey, he joined the University of Illinois as Assistant Professor (1996) and later became Associate Professor (1999) and Professor (2003) in the Department of Electrical and Computer Engineering, Research Professor in the Coordinated Science Laboratory, faculty member in the Beckman Institute's Image Formation and Processing Group, and affiliate professor in the department of Statistics. He is also a member of the Information Trust Institute and the founding director of the Center for Information Forensics, a multidisciplinary research center currently involving twenty colleagues. He is also a member of the Advanced Digital Sciences Center, a multidisciplinary research center of UIUC in Singapore. His fields of professional interest are information theory, image and video processing, statistical signal processing and modeling, decision theory, information hiding and authentication, and the application of multiresolution signal analysis, optimization theory, and fast algorithms to these areas.

He served as Associate Editor for the IEEE Transactions on Information Theory from 1996 till 1998, for the IEEE Transactions on Image Processing from 1999 till 2002, and then as Area Editor from 2002 till 2006. In 1999, he was co-chair of the IEEE Information Theory workshop on Detection, Estimation and Classification. He was a Guest Editor of the IEEE Transactions on Information Theory 2000 special issue on Information-Theoretic Imaging; Guest Editor of the IEEE Transactions on Signal Processing's 2003 special issue on Data Hiding; and member of the IEEE Image and Multidimensional Signal Processing (IMDSP) Society Technical Committee (1998-2003), the Information Forensics and Security (IFS) Technical Committee (2007-2010) and the Image, Video, and Multidimensional Signal Processing (IVMSP) Technical Committee (2010-present); and the Board of Governors of the IEEE Signal Processing Society (2005-2007). He was co-founder and Editor-in-Chief of the IEEE Transactions on Information Forensics and Security. He is a Fellow of IEEE (2003), recipient of a 1997 Career award from the National Science Foundation, and of the IEEE Signal Processing Society 1997 Best Paper award in the IMDSP area. He is also co-author (with Juan Liu) of a paper that received the IEEE Signal Processing Society 2002 Young Author Best Paper award in the IMDSP area. He was selected as Beckman Associate of UIUC's Center for Advanced Study (2003) and Sony Faculty Scholar (2005-2007). He was plenary speaker for several international conferences and workshops, and Distinguished Lecturer of the IEEE Signal Processing Society for 2012-2013. He was on the Dean's list of teachers rated excellent by their students in 1996, 1999, 2000, 2005, 2007, 2009, 2011, 2012, and 2014.



Research

KEY WORDS: Signal processing, modeling, compression, imaging, information theory, statistics, stochastic processes, wavelets and multiresolution analysis, estimation, detection, pattern recognition, learning, visual analytics, content identification, watermarking, hashing, fingerprinting, steganography, information security, optimization.

Moulin and his students research the theory and application of statistics and information theory to a variety of signal, image, and video processing problems. Our general approach is to select emerging problems for which a fundamental understanding is still lacking, identify the underlying simple and elegant principles that should be brought to bear on such problems, and develop methods and algorithms for solving them. Statistical modeling and fundamental principles of statistical inference and information theory play a central role in this approach. The application areas include compression, restoration, detection, classification, forensics, and security.

Currently our group is engaged in four main research thrusts. The first is in the area of content identification and robust hashing. This line of work started with a 2000 paper with Koon and Venkatesan. Our recent interest has been to develop a fundamental theory of content identification from first principles, and to develop hashing codes that outperform the state of the art. The second research thrust is information forensics and security. Moulin's interest in information security dates back from 1997, when he developed an information theory of watermarking and data hiding, together with Prof. Jody O' Sullivan (Washington U.). This led to a fruitful collaboration with Prof. Ralf Koetter, in which we constructed codes that can approach fundamental bounds, and can resist arbitrary noise and a broad class of desynchronization attacks. We also analyzed security flaws for watermarking systems, and methods that can remedy those flaws. The third research thrust, conducted primarily at ADSC in Singapore, is multimodal analytics, using techniques from statistical learning and computer vision. Our team won the 2012 HARL-ICPR competition on human activity recognition . The fourth and most recent research thrust is on learning codes for joint image/video compression and classification.



Selected Publications
  • Content ID and Robust Hashing
  • Watermarking, Steganography, and Fingerprinting
  • Statistical Learning and Computer Vision
  • Statistical Signal and Image Processing
  • Detection and Classification
  • Video Processing
  • Image Compression
  • Filter Bank Design
  • Other Papers



    Recent Talks
  • , Taipei, October 2014 (Action and Event Recognition Using Depth Cameras)
  • , IEEE DL Lecture, 2012-2013 (Information Embedding: From Theory to Practice)
  • , IEEE DL Lecture, 2012-2013 (Robust Hashing and Its Applications to Content Identification)
  • Wavila Challenge, Barcelona, Spain, June 2005 (A Detection-Theoretic and Computational Framework for Designing Geometrically Resilient Watermarking Systems)



    IEEE Transactions on Information Forensics and Security
  • Home page
  • editorial for inaugural issue (March 2006)



    Teaching
     
     

    Group Pictures


     
     

    Ph.D. Students

    Postdocs and Visiting Scholars

    Former postdocs and Visiting Scholars

    Graduated Ph.D. Students

    Graduated M.S. Students

    Note to Prospective Graduate Students

    Urbana-Champaign and Related Links

    Page last updated on October 7, 2014.