Robert Nowak

• PhD 1995, University of Wisconsin-Madison
• MS 1991, University of Wisconsin-Madison
• BS 1990, University of Wisconsin-Madison

• signal and information processing
• machine learning
• optimization and statistics

Affiliated Departments

• Biomedical Engineering
• Industrial & Systems Engineering

• 2024 Korea Articial Intelligence Association Fall Conference, Plenary Speaker
• 2023 WARF, Grace Wahba Professorship of Data Science
• 2022 One World Signal Processing Lecture
• 2022 Cambridge University, Peter Whittle Lecture
• 2021 Institute of Mathematical Statistics Medallion Lecture
• 2019 Keith and Jane Morgan Nosbusch Professorship
• 2019 MIT Institute for Data, Systems, and Society, Distinguished Lecture
• 2019 International Conference on Machine Learning, Invited Tutorial Lecture
• 2019 IEEE Data Science Workshop, Plenary Lecture
• 2018 Workshop on High Dimensional Statistical Analysis, Academia Sinica, Taiwan, Keynote Lecture
• 2018 Information Theory and Applications Workshop, UCSD, Plenary Lecture
• 2017 International Matheon Conference on Compressed Sensing and its Applications, TU Berlin, Plenary Lecture
• 2016 College of Engineering, University of Wisconsin-Madison, Byron Bird Award for Excellence in a Research Publication
• 2014 University of Wisconsin-Madison, Kellett Mid-Career Award
• 2014 IEEE, W. R. G. Baker Award for most outstanding paper in any IEEE publications
• 2013 Simons Institute for the Theory of Computing, UC Berkeley, Visiting Scientist
• 2013 Signal Processing with Adaptive Sparse Structured Representations (SPARS) Workshop, Plenary Lecture
• 2012 ECML-PKDD, 2012 Award for Best Paper on Knowledge Discovery
• 2012 ERDAS, 2012 ERDAS Award for Best Scientic Paper in Remote Sensing (3rd Place Award)
• 2012 Wisconsin Institute for Discovery, Discovery Fellow
• 2012 ASPRS, The Imaging & Geospatial Information Society, Grand Award recipient of the 2012 Talbert Abrams Paper Award
• 2012 IEEE Statistical Signal Processing Workshop, Plenary Lecture
• 2011 IEEE Signal Processing Society, Best Paper Award
• 2011 Asilomar Conference on Signals, Systems, and Computers, Best Student Paper Award
• 2011 IEEE ICIP, Best Student Paper Award
• 2010 Trinity College, Cambridge, Visiting Fellow Commonership
• 2010 IEEE, Fellow
• 2010 Isaac Newton Institute for Mathematical Sciences, Cambridge University, VIsiting Fellow
• 2007 University of Wisconsin-Madison, Vilas Associate Award
• 2006 Neural Information Processing Systems Conference, Honorable Mention, outstanding paper award (Nominated)
• 2004 IEEE/ACM International Symposium on Information Processing in Sensor Networks, Best Student Paper Award
• 2000 IEEE Signal Processing Society, Young Author Paper Award
• 2000 The Office of Naval Research, Young Investigator Program Award
• 1999 The Office of Naval Research, The Army Research Office
• 1997 National Science Foundation, NSF CAREER Award
• 1993 General Electric, Genius of Invention Award
• 1991 Rockwell International, Fellow

• COMP SCI 790 - Master's Thesis (Spring 2025)
• COMP SCI 799 - Master's Research (Spring 2025)
• COMP SCI 899 - Pre-Dissertator Research (Spring 2025)
• COMP SCI 990 - Dissertation (Spring 2025)
• E C E 699 - Advanced Independent Study (Spring 2025)
• E C E 888 - Topics in Mathematical Data Science (Spring 2025)
• E C E 990 - Dissertator's Research (Spring 2025)
• MATH 888 - Topics in Mathematical Data Science (Spring 2025)
• STAT 888 - Topics in Mathematical Data Science (Spring 2025)
• COMP SCI 561 - Probability and Information Theory in Machine Learning (Fall 2024)
• COMP SCI 699 - Directed Study (Fall 2024)
• COMP SCI 702 - Graduate Cooperative Education (Fall 2024)
• COMP SCI 799 - Master's Research (Fall 2024)
• COMP SCI 899 - Pre-Dissertator Research (Fall 2024)
• COMP SCI 990 - Dissertation (Fall 2024)
• E C E 203 - Signals, Information, and Computation (Fall 2024)
• E C E 561 - Probability and Information Theory in Machine Learning (Fall 2024)
• E C E 699 - Advanced Independent Study (Fall 2024)
• E C E 990 - Dissertator's Research (Fall 2024)
• COMP SCI 702 - Graduate Cooperative Education (Summer 2024)
• COMP SCI 899 - Pre-Dissertator Research (Summer 2024)
• COMP SCI 990 - Dissertation (Summer 2024)
• E C E 990 - Dissertator's Research (Summer 2024)
• COMP SCI 699 - Directed Study (Spring 2024)
• COMP SCI 799 - Master's Research (Spring 2024)
• COMP SCI 899 - Pre-Dissertator Research (Spring 2024)
• COMP SCI 990 - Dissertation (Spring 2024)
• E C E 890 - Pre-Dissertator's Research (Spring 2024)
• E C E 990 - Dissertator's Research (Spring 2024)
• COMP SCI 699 - Directed Study (Fall 2023)
• COMP SCI 702 - Graduate Cooperative Education (Fall 2023)
• COMP SCI 799 - Master's Research (Fall 2023)
• COMP SCI 899 - Pre-Dissertator Research (Fall 2023)
• E C E 890 - Pre-Dissertator's Research (Fall 2023)
• COMP SCI 799 - Master's Research (Summer 2023)
• COMP SCI 990 - Dissertation (Summer 2023)