Dr. Rebecca Dziedzic is an Assistant Professor of the University of Concordia Building, Civil and Environmental Engineering Department. Her research expertise lies in developing decision support methods for sustainable infrastructure, particularly water systems. Prior to joining Concordia, Dr. Dziedzic worked as an asset management consultant and now continues to collaborate with industry professionals in order to better respond to current urban challenges.
Fatemeh (Helia) Boloukasli
Helia is a Ph.D. student in the Department of Building, Civil and Environmental Engineering at Concordia University. Helia’s current research is on water main breaks, modeling and optimization of water systems, real-time water distribution system operation, and machine learning. Helia earned her B.Sc degree in Civil Engineering from the University of Guilan, Iran (2019) and her M.Sc degree in Water and Hydraulics Structure from the University of Tehran, Iran (2022).
Melica is a Ph.D. student at Concordia University, Montreal, Quebec. She received her M.Sc. degree in Civil Engineering – Environmental Management from the University of Tehran, Iran. Melica’s research area is mainly focused on sustainable water infrastructure and data science. Currently, she is working on optimizing water distribution system maintenance and rehabilitation under a changing climate. She is co-supervised by Dr. Ehsan Roshani of the National Research Council.
Jawad is a PhD student in Civil Engineering at Concordia University. He received his MSc in Highways and Transportation Engineering from Coventry University, UK and BSc in Civil Engineering from Yarmouk University, Jordan. His research area is mainly focused on Pavement Management Systems (PMS) and Pavement Design. The main goal of his research is to fully incorporate PMS in Mechanistic-Empirical Pavement Design Guide (MEPDG). He is co-supervised by Dr. Luis Amador.
Bharath received a B.E degree in civil engineering from Anna University, India. He holds a LEED® Green Associate™ certification from US Green Building Council. He is currently completing his MASc degree in Civil engineering at Concordia University, Canada. His research area is mainly focused on predicting rail deterioration using machine learning classifiers for successful maintenance and track rehabilitation.
Morad Nosrati Habibi
Morad is a MASc student in Civil Engineering at Concordia University, Montreal. His primary field of study is the detection of water distribution system leakage. He is now developing machine learning methods to detect leakage in real-time.
Previous Team Members
- Ziyuan Cai (MASc 2022, Co-supervised by Dr. Samuel Li)
“Development of Effective Methods for Water Distribution System Leakage Detection and Localization”
- Alex Brisbois (MASc 2022)
“Assessment of the Feasibility of Pumps-as-Turbine in Water Distribution Networks with the Support of Machine Learning”
- Sadaf Gharaati (MASc 2022)
“Identification of the Most Important Factors Driving Watermain Failure”
- Mohammad Amini (MASc 2021)
“Application of Machine Learning Algorithms to the Prediction of Water Main Deterioration”