Milad Aghamohamadnia is a Postdoctoral Fellow in the Department of Building, Civil, and Environmental Engineering. His work draws on his background in statistics, data analysis, and machine learning. He earned Ph.D. in Civil Engineering from NYU, and has priorly earned his Master’s and Bachelor’s in Remote Sensing and Geomatics Engineering from University of Tehran and has worked as Data Scientist at Descartes Labs. Currently, he is developing simulation software for modelling urban transportation. His work also covers modelling and implementing heat radiation between buildings and the environment in an urban landscape.
Postdoctoral fellows
Ramanunni Menon Parakkal is a Postdoctoral Fellow in the Department of Building, Civil and Environmental Engineering. Hailing from Kerala, India, he has previously completed his Ph.D. at EPFL Lausanne on development of predictive control algorithms on polygeneration systems for buildings. His research interests are design and implementation of control systems and frameworks for buildings and the various thermal and electrical systems within buildings, system design, and implementation of IoT infrastructure within the urban ecosystem. His current work is to ensure holistic analysis of user requirements, market models and system limitations to have an efficient and scalable implementation of the smart devices within the next generation of cities.
Shahin Masoumi-Verki is a Horizon postdoctoral fellow in the Department of Building, Civil, and Environmental Engineering; and the Concordia Institute for Information Systems Engineering. With a BSc and MSc in Mechanical Engineering, and PhD in Building Engineering, Shahin possesses extensive experience in handling dynamical systems. He has honed his skills in effectively applying data-driven methods to various engineering challenges, particularly Fluid Dynamics. His expertise lies primarily in Reduced-Order Modeling, Sparse Reconstruction, Super-Resolution, Data Assimilation, and Physics-Informed Neural Networks. Shahin adeptly utilizes both experimental and numerical datasets, employing deep learning algorithms and statistical models to analyze and extract valuable insights.
Former postdoctoral fellows
Ali Saberi Derakhtenjani was a Postdoctoral Fellow in the Department of Building, Civil and Environmental Engineering. He received his Ph.D in Building Engineering from Concordia University in 2020. He completed his Ph.D’s as well as Master’s research at the Concordia solar simulator environmental chamber laboratory. His Ph.D research was focused on the modeling and design of control strategies for smart buildings. His current research is focused on designing and implementing energy flexibility strategies for buildings, clusters, and communities in interaction with smart grids and dynamic pricing of electricity.
Leanne Dong was a Postdoctoral Fellow in the Department of Building, Civil, and Environmental Engineering. She obtained a Bachelor of Mathematics (first class honours in Financial Mathematics with University Medal, UTS, Sydney, 2011), Bachelor of Accounting with a minor in economics (Macquarie Uni, Sydney, 2005), Master's of Finance (UNSW, Sydney, 2008) and a Ph.D. in Theoretical Probability (The University of Sydney, 2018). She completed her first postdoctoral in computer science with focus in behavioral data science. She is now working as a joint industry postdoctoral fellow. Her work is algorithmic and mostly C++ development, with emphasis on scientific programming, multithreading, graphs and trees data structures, and machine learning.
Claude El-Bayeh was a Postdoctoral Fellow in the department of Building, Civil, and Environmental Engineering. He received his Ph.D. in Electrical Engineering and Renewable Energy from the University of Quebec – ETS in 2019. He specializes in Energy Management and Control Strategies for Smart Grids and Renewable Energy Technologies. His research aims to develop novel Multi-Level Energy Management Systems and control strategies from distribution networks and create Self-Sufficient Smart Buildings and Electric Vehicles. The main goal of his work is to maximize the end-users energy self-sufficiency and minimize their impacts on the distribution network. His interests include operations research (optimization and multi-criteria decision making), smart grid, and electric vehicles.
James Bambara was a Horizon Postdoctoral Fellow in the Department of Building, Civil, and Environmental Engineering. He has over 10 years experience in the design, experimental performance evaluation and simulation of photovoltaic systems integrated into buildings and greenhouses. His research includes assessing the potential for upgrading aging buildings to low energy solar buildings to provide energy for decarbonizing local mobility and greenhouse agriculture. He is also assisting with the Canadian Academy of Engineering (CAE) “Roadmap to Resilient, Ultra-Low Energy Built Environment with Deep Integration of Renewables in 2050”.
Karthik Panchabikesan was a Postdoctoral Fellow of the Department of Building, Civil, and Environmental Engineering. He received his Ph.D. in Mechanical Engineering from Anna University, India in December 2017. He is currently involved in data analytics and developing data-driven frameworks to extract useful information from the urban dataset. Specifically, he focuses on understanding the role of occupants in enhancing building energy efficiency. He handles occupancy and energy-related sensor data collected from different sources and systematically analyses them to discover hidden information from the raw dataset.
Pilar Monsalvete was a Postdoctoral Fellow of the Department of Building, Civil, and Environmental Engineering. During the last thirteen years, she has been working on building simulation and renewable technologies for smart cities. She started her work in Seville, Spain working on the development of the tools needed for the Energy Performance Certification of Buildings required by the Spanish Directive. She later joined the Centre for Sustainable Energy Technologies at the Stuttgart University of Applied Sciences, where she completed her Ph.D. with the thesis "A Multiscale Framework for Predicting Distributed Renewable Thermal Energy Integration."