Pierre Moulin

Electrical and Computer Engineering
Pierre  Moulin
Pierre Moulin
Professor
  • Electrical and Computer Engineering
310 Coordinated Science Lab MC 228
1308 W. Main St.
Urbana Illinois 61801

Primary Research Area

  • Signal Processing

For more information

Profile

Education

  • D.Sc., Electrical Engineering, Washington University, 1990

Research Interests

  • Image and Video Processing, Machine Learning, Compression, Recognition, Statistical Signal Processing, Statistical Learning, Information Theory, Information Hiding, Security

Research Areas

  • Information theory
  • Signal detection and estimation
  • Signal Processing
  • Watermarking and information forensics

Honors

  • Plenary speaker for IIH MSP, Taiwan, Nov. 2007
  • Keynote speaker for MRCS,Istanbul, Sep. 2006
  • Plenary Speaker for IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP), Toulouse, France, May 2006
  • Board of Governors, IEEE Signal Processing Society, 2005-2007
  • One of four finalists for IEEE Transactions on Information Theory 2005 Best Paper award
  • Sony Faculty Scholar, 2005-2007
  • Nominated as 2005 IEEE Signal Processing Society Distinguished Lecturer
  • Beckman Associate, UIUC Center for Advanced Study, 2003
  • Class of 2003 IEEE Fellow
  • Co-author, IEEE Signal Processing Society 2002 Young Author Best Paper Award
  • IEEE Signal Processing Society 1997 Best Paper Award
  • NSF Career award, 1997
  • Nominated for 1997 ECE Teaching Award
  • Deans's Incomplete List of Teachers Rated Excellent by their Students, 1996, 1999, 2000, 2005, 2007, 2011, 2012

Teaching Honors

  • Nominated for 1997 ECE Teaching Award
  • Dean's Incomplete List of Teachers Rated Excellent by their Students, 1996, 1999, 2000, 2005, 2007, 2011, 2012

Research Honors

  • Co-author, IEEE Signal Processing Society 2002 Young Author Best Paper Award (for a Nov. 2001 paper with Juan Liu in IEEE Trans. on Image Processing)
  • 1997 IEEE Signal Processing Society Senior Best Paper Award (for a Sep. 1995 paper in IEEE Trans. on Image Processing)

Courses Taught

  • ECE 398 - Making Sense of Big Data
  • ECE 418 - Image & Video Processing
  • ECE 544 - Pattern Recognition
  • ECE 561 - Detection & Estimation Theory
  • ECE 563 - Information Theory
  • ECE 598 - Comput. Inference & Learning
  • ECE 598 - Comput. Inference and Learning