Esmaeil Ghorbani
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Supervisor: Frederick Gosselin
About
Dr. Ghorbani is currently a postdoctoral fellow under the supervision of Frederick Gosselin, focusing on developing a data-driven digital twin for a hydro turbine, collaborating with Ph.D. and M.Sc. students. He also serves as a part-time lecturer in the Department of Mechanical Engineering at Concordia University. Previously, as a registered Professional Engineer (P.Eng.), he spent three years at KGS Group, a consulting firm in the hydro industry, contributing to projects across Canada for BCHydro, MBHydro, SaskPower, and OPG, with a focus on mech-structural engineering. Esmaeil earned his PhD in structural engineering from the University of Manitoba in 2021, where he specialized in data-driven methods for damage quantification of civil infrastructures. During his PhD, he was honored with the University of Manitoba Graduate Fellowship (UMGF) for three consecutive years, one of the university’s most prestigious awards. Before his PhD, he worked at TurboTech Company for four years, gaining experience in vibration analysis of rotating machinery. He holds both a master’s and bachelor’s degree in mechanical engineering.
Publications
- Ghorbani, Esmaeil, Quentin Dollon, and Frederick P. Gosselin. “Physics-aware tuning of the unscented Kalman filter: statistical framework for solving inverse problems involving nonlinear dynamical systems and missing data.” Nonlinear Dynamics (2024): 1-23.
- Ghorbani, Esmaeil, Sajad S. Afshari, Dagmar Svecova, Xihui Liang, and Young‐Jin Cha. “Time‐varying reliability analysis based on hybrid Kalman filtering and probability density evolution.” Earthquake Engineering & Structural Dynamics 53, no. 3 (2024): 1326-1344.
- Ghorbani, Esmaeil, Dagmar Svecova, Douglas J. Thomson, and Young-Jin Cha. “Bridge pier scour level quantification based on output-only Kalman filtering.” Structural Health Monitoring 21, no. 5 (2022): 2116-2135.
Hobbies
hiking, listening to podcasts and music, woodworking
Diplomas
– 2016–2021 Ph.D. Civil Engineering, University of Manitoba, Canada.
Thesis: Nonlinear Kalman filtering-based damage quantification for civil infrastructure
– 2009–2012 M.Sc. Mechanical Engineering, Isfahan University of Technology, Iran.
Thesis: Modal analysis of linear time-varying systems, with application to moving mass systems
– 2004–2009 B.Sc. Mechanical Engineering, Babol Noshirvani University of Technology, Iran.
Research Category
Digital Twin for Hydro Turbine
Expertise
Solid Mechanics, Vibration Data Analysis, Data-Driven System Identification, Bayesian Inference, Estimation, Uncertainty Quantification, Digital Twin
Awards and Honors
– 2024 WCCM24 -Vancover, Travel Award, CACSE.
– 2021 PhD. Program Completion Scholarship, University of Manitoba.
– 2021 Pandemic award from Faculty of Graduate Study, University of Manitoba.
– 2019 Douglas R. Grimes Graduate Fellowship, University of Manitoba.
– 2018 University of Manitoba Graduate Fellowships, University of Manitoba.
– 2017 SIMTReC Fellowship for Bridge Scour Monitoring, University of Manitoba,
– 2017 NSERC Engage Fellowship, University of Manitoba.
– 2016 Fellowship for Educational Purpose, University of Manitoba.