Paul Fieguth, PEng

Paul Fieguth is (as of April 2023) the Associate Vice President - Academic Operations at the University of Waterloo, and (since 1996) a Professor in the Department of Systems Design Engineering. He is also a co-director of the Vision and Imaging Processing Lab and the director of the Statistical Image Processing Lab at the University of Waterloo. His undergraduate studies were in Engineering at the University of Waterloo, and his graduate studies were in Engineering at MIT.

• Signal and Image Processing
• Societal and Environmental Systems
• Statistical Modeling
• Multiscale Methods
• Remote Sensing
• Computer Vision
• Pattern Analysis
• Machine Learning

His main areas of research lie in multiscale statistical modelling and machine learning. In particular, Professor Fieguth concentrates on the theory development and understanding of hierarchical/scale recursive estimation algorithms for multi-resolution stochastic processes. Such algorithms use a statistically meaningful strategy to break large estimation problems into smaller pieces, leading to vast improvements in efficiency. His particular passion focuses on complex systems (that is, nonlinear dynamic systems and the consequences of such systems). He has a Springer textbook on this subject, and is always happy to hear about new, motivating, multi-disciplinary examples that could bring a deeper understanding of complex systems.

He has been involved in a large number of industry projects, very briefly: - Projector-Camera systems, calibration, 3D inference - Video analysis and modeling - Analysis of ultrasound data, particularly for diabetic patients - Analysis of high-speed video data for fusion-energy applications - Analysis of additive manufacturing, particularly laser-sintering processes - Automated methods for melanoma detection and screening - Analysis and 3D inference from underwater video - Analysis of traffic video to assess intersection safety

• 1995, Doctorate PhD, Massachusetts Institute of Technology, United States
• 1993, SM, Massachusetts Institute of Technology, United States
• 1991, Bachelor's BASc, University of Waterloo, Ontario

• 2019 Distinguished Teaching Award, University of Waterloo
• 2015 Award of Excellence in Graduate Supervision, University of Waterloo
• 2011 IEEE Senior Member
• 2018 Faculty of Engineering Outstanding Performance Award University of Waterloo
• 2014 Faculty of Engineering Distinguished Performance Award University of Waterloo
• 2001 Sanford Fleming Foundation Teaching Award, University of Waterloo

• 2023-Present. Associate Vice President - Academic Operations
• 2020-2023 Associate Dean - Resources & Planning, Faculty of Engineering
• 2020 Associate Dean - Outreach, Faculty of Engineering
• 2019 Associate Dean - Undergraduate, Faculty of Engineering
• 2019-2020 Associate Dean - Policies & Resources, Faculty of Engineering
• 2017-2022 Board of Governors, University of Waterloo
• 2016-2022 Senate, University of Waterloo
• 2014-2016 Centre for Bioengineering and Biotechnology, University of Waterloo, Board Member
• 2010-2019 Department Chair, Systems Design Engineering
• 2005-2009 Associate Chair, Undergraduate, Systems Design Engineering
• 2001-2002 Admissions, Systems Design Engineering

• 2022-Present Ashesi University Foundation Canada, Board Member
• 2018-2022 CESUN — Council of Engineering Systems Universities, Executive Committee
• 2016-2022 Schlegel Research Institute for Aging, Board Member

• SYDE 332 - Introduction to Complex Systems
  • Taught in 2019, 2020
• SYDE 532 - Introduction to Complex Systems
  • Taught in 2021, 2022, 2023
• SYDE 672 - Statistical Image Processing
  • Taught in 2020

* Only courses taught in the past 5 years are displayed.

• A. Carrington, D. Manuel, P. Fieguth, T. Ramsay, V. Osmani, B. Wernly, C. Bennett, S. Hawken, O. Magwood, Y. Sheikh, M. McInnes, A. Holzinger, (2022), Deep ROC Analysis and AUC as Balanced Average Accuracy, for Improved Classifier Selection, Audit and Explanation, IEEE Transactions on Pattern Analysis and Machine Intelligence.
• Zohreh Hosseinaee, Benjamin Ecclestone, Nicholas Pellegrino, Layla Khalili, Lyazzat Mukhangaliyeva, Paul Fieguth, and Parsin Haji Reza (2021), Functional photoacoustic remote sensing microscopy using a stabilized temperature-regulated stimulated Raman scattering light source, Optics Express, Volume 29, Issue 19, 29745-29754.
• Xiaodan Hu, Mohamed A. Naiel, Zohreh Azimifar, Ibrahim Ben Daya, Mark Lamm, Paul Fieguth (2021), Non-stationary Content-Adaptive Projector Resolution Enhancement, Signal Processing: Image Communication, Volume 97, 116348.
• Deniz Sera Ertay, Mohamed A Naiel, Mihaela Vlasea, Paul Fieguth (2021), Process Performance Evaluation and Classification via In-Situ Melt Pool Monitoring in Directed Energy Deposition, CIRP Journal of Manufacturing Science and Technology, Volume 35, 298-314.
• Deniz Sera Ertay, Shima Kamyab, Mihaela Vlasea, Zohreh Azimifar, Thanh Ma, Allan Rogalsky, Paul Fieguth (2021), Towards Sub-Surface Pore Prediction Capabilities for Laser Powder Bed Fusion Using Data Science, Journal of Manufacturing Science and Engineering, Volume 143, 071016.
• S. Farsangi, M. Naiel, M. Lamm, P. Fieguth, Efficient Direct Block Address Encoding for Single-Shot based 3D Reconstruction, Society for Information Display, 2021.
• K. Sadatsharifi, M. Naiel, M. Lamm, P. Fieguth, Efficient Model Based Grid Intersection Detection for Single-Shot 3D Reconstruction, Canadian Conference on Electrical and Computer Engineering, 2021.
• J. Tong, J. Shafiee, P. Fieguth, Incremental Generative Replay Embedding Toward an Effective Continual Learning Framework, Workshop on Continual Learning in Computer Vision CLVISION2021, 2021.
• Paul Fieguth, Introduction to Complex Systems (Second Edition), Edition 2, 463 Pages, Springer Verlag, 2021.
• A. Carrington, P. Fieguth, H. Qazi, A. Holzinger, H. Chen, F. Mayr, D. Manuel (2020), A new concordant partial AUC and partial c statistic for imbalanced data in the evaluation of machine learningalgorithms, BMC Medical Informatics and Decision Making, Volume 20, Issue 1, 1-12.

• 2019 X. Hu, M. Naiel, Z. Azimifar, I. Daya, M. Lamm, P. Fieguth: Device, system and method for enhancing one or more of high contrast regions and moving regions in projected images, Filed Provisional Patent No. P7972US00.
• 2018 M. Post, P. Fieguth, M. Lamm: Projection-surface photometric compensation, Filed US Patent No. P7758US00.
• 2018 B. Ma, A. Gawish, A. Wong, P. Fieguth, M. Lamm: Real-time spatial-based resolution enhancement using shifted superposition, US Patent App.15/676,394 / P6932US00