Centre for Innovation in Computing at Lassonde

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Miriam Capretz

Professor, Associate Dean of Research University of Western
External Advisory Committee, IC@L

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2023 – 2024 Research Highlights

Overview

Dr. M. Capretz is the Associate Dean, Research in the Faculty of Engineering and a Professor of Software Engineering in the Department of Electrical and Computer Engineering at Western University. She was an Associate Vice-Provost (Acting), Graduate and Postdoctoral Studies from July 2015 to June 2016. She has also taken the role of Associate Dean (Acting) Research and Graduate in the Faculty of Engineering from July 2010 to June 2011 and Associate Chair Graduate in the Department of Electrical and Computer Engineering from July 2008 to June 2013.  Prior to joining Western University, Dr. M. Capretz was an Assistant Professor in the Software Engineering Laboratory at the University of Aizu (Japan).

Dr. M. Capretz has been involved with software development and research and teaching in software engineering for more than 30 years. Among her industry experience, she worked as a software engineer from 1984 to 1988 at Technological Center for Informatics-CTI in Campinas/SP, Brazil; and from 1981 to 1984, she was a system analyst at a computer company in Sao Paulo, Brazil.

Dr. M. Capretz is a senior member of IEEE and a member of ACM (Association for Computing Machinery). She is also an Associate Scientist with the Lawson Health Research Institute.

Selected Publications

  • Anomaly Detection in Time-Series Data Using Evolutionary Neural Architecture Search with Non-Differentiable Functions. S. Gomez-Rosero & M. A. M. Capretz. Applied Soft Computing, 155, 111442, 2, 2024.
  • Continuous Model Calibration Framework for Smart-Building Digital Twin: A Generative Model-Based Approach. D. D. Eneyew, M. A. M. Capretz, & G. T. Bitsuamlak. Applied Energy, 375, 124080, 2024.
  • LoRaCELL-Driven IoT Smart Lighting Systems: Sustainability in Urban Infrastructure. I. Z. Biundini, M. F. Pinto, L. M. Honório, M. A. M. Capretz, A. O. Timotheo, et al. Sensors, 24(2), 574, 2024.
  • Safe Reinforcement Learning for Arm Manipulation with Constrained Markov Decision Process. P. Adjei, N. Tasfi, S. Gomez-Rosero, & M. A. M. Capretz. Robotics, 13(4), 63, 2, 2024.
  • Toward Prediction of Energy Consumption Peaks and Timestamping in Commercial Supermarkets Using Deep Learning. M. Zhao, S. Gomez-Rosero, H. Nouraei, C. Zych, M. A. M. Capretz, & A. Sadhu. Energies, 17(7), 1672, 4, 2024.