My long-term research objective is the development of new techniques for assessing and improving the energy performance of mixed-use buildings, centered around information management through a BIM-BEM-BOM concept (Building Information Model – Building Energy Model – Building Operation Model). This includes, among other things, developing new solutions for building-integrated agricultural spaces (eAIB), evaluating energy and GHG profiles for effective energy management, and proposing valuable synergies between different types of use to minimize environmental impacts.

Sasan Sattarpanah Karganroudi is a research professor in the Department of Mechanical Engineering at the Université du Québec à Trois-Rivières and assigned to the Drummondville campus. A specialist in smart manufacturing, he conducts research based on strategies specific to Industry 4.0, including non-destructive evaluation and 3D metrology of mechanical components and structures. Also involved in R&D, he used experimental approaches to develop methods for engineering, precision and material processing and laser welding. Computer-aided design, manufacturing and inspection, optimization processes and artificial intelligence, finite element analysis, augmented reality and numerical simulation are frequently used in his work.

Louis Gosselin’s research focuses on energy efficiency, particularly in buildings and the industrial sector. In buildings, his work centers on heating, ventilation, air conditioning, and cooling (HVAC-R) systems, building envelopes and fenestration, as well as intelligent system control. Recently, he has explored the energy impacts of occupant behavior, the development of predictive models using artificial intelligence, in-situ monitoring, and the use of bio-based materials. In the industrial sector, his work focuses on process and equipment modeling and optimization, energy data measurement and analysis, and operational and tactical planning to better manage energy and power in the primary aluminum and lumber industries. Louis Gosselin is also interested in the use of renewable energy sources, such as geothermal and solar energy. He is involved in several projects related to the Arctic, including high-performance buildings in the region, the integration of new energy sources, seasonal heat storage, the development of culturally and socially appropriate solutions, and co-design.

Khaled Ziane holds a PhD in Industrial Safety and Environment with a focus on renewable energy. He works as a researcher at the Centre for Research and Innovation in Energy Intelligence (CR2ie) at Cégep de Sept-Îles, and he is heavily involved in projects related mainly to energy storage, industry 4.0, predictive maintenance and health management of multi-physical systems. His current research interests focus mainly on the following areas:

• Optimizing the range of electric vehicles
• Battery Management Systems (BMS)
• Artificial intelligence
• Embedded systems

Loïc Boulon received the master degree in electrical and automatic control engineering from the University of Lille (France), in 2006. Then, he obtained a PhD in electrical engineering from University of Franche-Comté (France). Since 2010, he is a Professor at UQTR and he works into the Hydrogen Research Institute (Full Professor since 2016).
His work deals with modeling, control and energy management of multiphysics systems. His research interests include hybrid electric vehicles, energy and power sources (fuel cell systems, batteries and ultracapacitors). He has published more than 120 scientific papers in peer-reviewed international journals and international conferences and given over 35 invited conferences all over the word. Since 2019, he is the world most cited authors of the topic “Proton exchange membrane fuel cells (PEMFC); Fuel cells; Cell stack” in Elsevier SciVal.
In 2015, Loïc Boulon was general chair of the IEEE-Vehicular Power and Propulsion Conference in Montréal (QC, Canada). Prof. Loïc Boulon is now VP-Motor Vehicles of the IEEE Vehicular Technology Society and he found the “International Summer School on Energetic Efficiency of Connected Vehicles” and the “IEEE VTS Motor Vehicle Challenge”. He is the holder of the Canada Research Chair in Energy Sources for the Vehicles of the future.

Kamal Al-Haddad is a Canadian electrical engineer, currently holding a Canada Research Chair at the Université de Montréal.

Geza Joos (M.Eng., Ph.D, McGill University, Canada) is a Professor of Electrical and Computer Engineering at McGill University, since 2001, where he holds the NSERC/Hydro-Quebec Industrial Research Chair on the Integration of Renewable Energies and Distributed Generation into the Electric Distribution Grid since 2009, and the Canada Research Chair in Powering Information Technologies since 2004. His research activities are in the application of high-power electronics to electric power systems and power conversion, including distributed generation and renewable energy (wind energy). He held positions in industry (ABB Canada), and academia (Concordia University, École de technologie supérieure, Canada). His professional activities include consulting work in power electronics applications and power system operation. He is active in CIGRE, where he is Secretary of Study Committee C6, Active Distribution Systems and Distributed Energy Resources since 2017, and in the Institute of Electrical and Electronics Engineers (IEEE) Power and Energy Society, where is involved in standards activities since 2011, mostly related to microgrids controllers and DER management systems. He is a Fellow of the IEEE, Fellow of CIGRE, and Fellow of the Canadian Academy of Engineering and the Engineering Institute of Canada.

Researcher in energy and process engineering.

Dynamic and enthusiastic, I love taking on challenges as part of a team!

Specialties:

• Experimental trials: from material to process; from small scale to industrial prototype
• Simulation of complex energy systems
• Application au stockage d’énergie thermique, au solaire thermodynamique et à la serriculture

  Pour une liste de mes publications et travaux, veuillez consulter cette page:
  https://www.etsmtl.ca/recherche/professeurs-chercheurs/dhaillot/#Publications

• Renewable energies: photovoltaic and wind
• Power electronic converters
• Electric machines and variable speed drives
• Electrical power quality

Nahi Kandil has been a Professor with the Engineering School, University of Quebec in Abitibi-Témiscamingue since 2000. He has worked on research dealing with neural networks and their applications to wireless communications and power systems. He is now working mainly with localization and channel modeling in confined areas and mine environments.

Intelligent control and smart energy management techniques combined with technological advances have enabled the deployment of new operating systems in many engineering applications, especially in the domain of transport and renewable resources. Indeed, the control and energy management of transportation and renewable resources are shifting towards autonomous reasoning, learning, planning and operating. As a result, these techniques also referred to as autonomous control and energy management will become practically ubiquitous soon.

Power electronics
Instrumentation and industrial electronics
Renewable energy and energy efficiency
Decentralized generation and energy storage
Intelligent management of hybrid systems
Smart grid

Katherine D’Avignon is a professor in the construction department at the École de technologie supérieure. She studies the energy efficiency of buildings and infrastructure with the aim of improving their energy profile and resilience. Her research focuses on thermal energy storage technologies, energy-efficient HVAC systems, and their control.

Networked control systems, distributed control, multi-agent control, game theory.
Data security and privacy for smart infrastructures.
Autonomous systems, mobile robotics.

Advanced control via artificial intelligence
Control of complex systems: Control of power systems, synchronization and analysis of systems with multiple interconnected sources on the grid and in standalone mode. Control and management of microgrids. Control of multi-converter and/or multi-machine systems. Control and automation of industrial systems.

Various applications in artificial intelligence: Adaptive and predictive control. Characterization, identification, and modeling of electrical charges. Signal processing and intelligent measurement. Data acquisition, classification, and management. Power quality analysis. Building modeling and energy and power demand management. Communication systems.

Embedded Systems: Implementation of diverse applications using Very Large Scale Integration (VLSI) technology, microprocessors, and microcontrollers. Development of embedded applications and systems for real-time signal control, processing, and analysis. Hardware implementation of models, adaptive algorithms, and neural networks using FPGAs. Co-design of hardware and software, including multi-core applications. Real-time co-simulation and emulation.

Electronics: Design and implementation of power, measurement and control circuits for various applications. Design and production of static converters and power interfaces for renewable energy systems and hydrogen technologies (fuel cells).

Expertise and research areas:
Optimization algorithms and optimal control
Real-time optimization of industrial systems and processes
Modeling and dynamics of linear and nonlinear systems
Process control
Extreme control
Applications: real-time power maximization of systems using renewable energy sources (photovoltaic systems, wind turbines, microbial fuel cells, hybrid systems, etc.)

Roland Malhamé was a pioneer in the development of physically based electrical load models.
In 1983, his doctoral thesis developed the first models of aggregated thermostatic loads, based on statistical mechanics. These models have since experienced a significant resurgence of interest, particularly given the growing pressure to integrate more renewable energy sources into electrical grids. Indeed, when solar or wind power is heavily utilized in a grid, it creates risks of instability because these energy sources are highly volatile. However, in a grid, it is essential to constantly maintain a balance between electricity generation and demand. While fossil fuel energy sources are controllable but increasingly undesirable, the same cannot be said for intermittent renewable sources. Therefore, energy storage becomes a crucial element in maintaining the generation/demand balance. The approach then becomes one of storing excess energy and using that storage when there is a surge in demand. Thermostatically controlled loads distributed across the grid (electric heating, electric water heaters, air conditioning), as well as the energy storage associated with electric vehicle batteries, are examples of electrical loads linked to forms of storage present in the grid.
One research objective is to identify such loads and create business models that encourage customers to allow an aggregator to coordinate their loads while maintaining comfort and security, thereby enabling greater integration of intermittent renewable energy sources. However, coordinating such a large number of heterogeneous loads, individually small but very numerous (sometimes in the millions), is a challenge requiring unconventional decentralized control methods. For over a decade, Roland Malhamé has been working with other researchers and students on the development and application of mean-field game theory. Indeed, prescriptive game theory (i.e., games where the cost function of agents is defined with a coordination objective) is a prime avenue for synthesizing decentralized control systems, since each agent can focus on a local optimization, but the cost functions are designed in such a way that a collection of local optimizations allows for the achievement of a collective objective. In this context, mean-field games open up very interesting perspectives because they allow us to exploit the existence of a large number of agents with negligible individual weight to obtain decentralized control laws that enable the achievement of collective objectives using very little communication. This is achieved in part thanks to the predictability arising from the law of large numbers. Our applications are primarily focused on energy and collective navigation problems, similar to those encountered by schools of fish. We are also exploring learning problems in this context.

-Energy efficiency
-Refrigeration systems (ejectors, electro- and magnetocaloric refrigeration)
-Heat pumps
-Complex heat transfer fluids (nanofluids, phase-change materials, grouts)
-Renewable energies (tidal turbines, geothermal energy, biomass)
-Energy storage (compressed air, hybrid)
-Advanced numerical modeling
-High-performance computing
-Characterization of the properties of complex materials

Jocelyn Bouchard earned a bachelor’s degree and a master’s degree in materials engineering and metallurgy in 2001 and 2004, respectively, and a doctorate in electrical engineering in 2007. He began his career as a metallurgist in process control at the Niobec Mine in 2005 before joining Xstrata Process Support in 2007 as a process control engineer. In 2010, he became a senior mineral processing and process control engineer at Genivar.

A professor at Université Laval since 2012, he held the Agnico Eagle Mines Ltd. and ArcelorMittal Mines Leadership Chair in Mineral Processing Engineering until 2017. His expertise lies in phenomenological modeling and simulation, as well as the control and optimization of mineral and pharmaceutical processes. His research focuses particularly on reducing the energy footprint of mineral processing plants. In recent years, he has distinguished himself through the development of a library of mineral processing simulation models on the Matlab/Simulink platform and its use in designing control systems that streamline the energy required for mineral processing.

Affiliated with the Department of Chemical Engineering, Mr. Bouchard was also a Visiting Scholar in the Department of Automatic Control and Systems Engineering at the University of Sheffield in the United Kingdom in 2019-2020. His industrial collaborators include companies such as Pfizer, Nemaska ​​Lithium, BBA, Canadian Malartic Mine, Corem, InnovExplo, Agnico Eagle Mines and Iamgold, as well as government agencies such as the National Research Council of Canada and CanmetMINES.

Antoine Lesage-Landry is an assistant professor in the Department of Electrical Engineering at Polytechnique Montréal, QC, Canada. He received his B.Eng. in Engineering Physics from Polytechnique Montréal in 2015 and his Ph.D. in Electrical Engineering from the University of Toronto, ON, Canada, in 2019. Before joining the faculty at Polytechnique Montréal, he was a postdoctoral researcher with the Energy & Resources Group at the University of California, Berkeley from 2019 to 2020. His research interests include optimization and online learning, as well as their applications to renewable energy power grids.

Professor. Specialist in the design, control and engineering of autonomous and non-autonomous hybrid microgrids.

Research interests:
• Microgrids (autonomous and non-autonomous)
• Control
• Power management
• Power electronics
• Energy storage
• Drives of electrical machines
• Electric vehicles
• Power quality
• Artificial intelligence

Most important contributions to research or practical applications
Dr. Lekounougou Serge-Thierry’s most important contributions revolve around three themes: the energy valorization of forest biomass, the storage and recovery of heat emitted by electronic servers in data processing centers, the thermal modification of wood, and the preservation of wood and fiber quality.

Energy Valorization of Forest Biomass, Energy Storage and Recovery from Electronic Servers:
Research in this area focuses on fiber quality, energy valorization of biomass, and the open-air bio-drying of wood chips, as well as the storage and recovery of heat emitted by electronic servers in data centers. A design for an open-air bio-drying device made of PVC pipes was developed in the laboratory. The device’s role was to accelerate the drying process of the wood chips. The aim of this study was to reduce the moisture content of the wood chips below 20% for use in the manufacture of pellets for residential heating.
Furthermore, a study on the “Development of a new technique for recovering heat emitted by computer servers in order to convert and store it for heating greenhouses in northern environments” was conducted. This study assessed the potential for utilizing this energy source in the Nordic agri-food sector, specifically by evaluating the appropriate parameters for the heat produced by servers and the recovery processes. The study determined the method for recovering heat from servers, identified suitable equipment, and determined the type of greenhouse best suited for energy recovery. A pilot study in a greenhouse is planned for the future to test the effect of the recovered heat on the growth of vegetables and berries under Nordic conditions before large-scale implementation.

Thermal Modification of Wood
In this area, Dr. Lekounougou made a significant contribution to the characterization of thermally modified Canadian wood species. This work has improved our understanding of thermally modified Canadian wood species. Mechanical tests (modulus of rupture and modulus of elasticity) and dimensional stability tests have allowed us to understand the strength of thermally modified wood and to master the thermowood process in the pilot kiln at the University of Quebec at Chicoutimi (UQAC). One example of this contribution is the effect of thermal modification temperature on the mechanical properties, dimensional stability, and biological durability of black spruce (Picea mariana). This work has been cited three times in scientific journals.
Wood Preservation and Fiber Quality
Wood is a lignocellulosic material susceptible to degradation by a range of microorganisms. The constituents of wood (cellulose, lignin, and hemicellulose) represent a source of nutrition for fungi, bacteria, and insects. Research on this topic has primarily led to a deeper understanding of the various mechanisms of wood degradation and the development of a rapid detection method for wood deterioration caused by white, brown, and soft rot fungi. The analysis of the lignocellulosic constituents of wood (cellulose, lignin, hemicellulose, and extractives) was carried out using biochemical, microbiological, and physicochemical methods. A new diagnostic methodology was developed to determine fiber quality in an operational context involving the spruce budworm. This research has resulted in eight publications in international journals and five presentations at national and international conferences. One of the contributions of this research has been the identification of the enzymatic activities involved in wood degradation by the white rot fungus Trametes versicolor, which is cited 24 times in the work of other researchers (published in 2009 in Wood Science and Technology).

Professor Ursula Eicker has been awarded the Canada Excellence Research Chair (CERC) in Smart, Sustainable and Resilient Communities and Cities at Concordia University in Montreal. She is a German physicist who has coordinated numerous international research projects in the fields of energy efficiency in buildings and green energy supply systems.

Since June 2019, Dr. Eicker has been leading an ambitious research program focused on developing transformative strategies for the decarbonization of cities. This seven-year program is subsidized to the tune of $10,000,000 by the Canadian government; it also receives $10,000,000 in funding from Concordia University. The institution has invested in the formation of a research cluster on cities, with five professorships in building engineering, electrical engineering, biodiversity, philosophy and planning. Analyzing the issues related to urban transformation through a transdisciplinary approach, Concordia’s Next Generation Cities Research Group develops tools and strategies for a sustainable future.

In addition to contributing to 25 books, Dr. Eicker has published seven books, 128 peer-reviewed articles and 335 conference presentations.

Interested in heat transfer phenomena applied to Earth sciences, Professor Raymond is a hydrogeologist who conducts research on geothermal energy. Its current projects concern the very low to high temperature resources associated with both geothermal heat pumps and power generation plants, are carried out on four continents, from the Arctic to the tropics, and help develop sustainable energy solutions to meet the growing needs of our society. Awarded by the Canadian Geotechnical Society, holds a research chair from the Institut nordique du Québec and is supported by UNESCO, Professor Raymond directs the Open Geothermal Laboratory used to characterize the thermophysical properties of rock essential to the modelling of geothermal systems of all kinds. The main objective of its projects, carried out in collaboration with designers, developers, manufacturers and regulators, is to improve the efficiency and profitability of geothermal systems through scientific and social innovations.

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Interested by heat transfer applied to Earth Sciences, Professor Raymond is a hydrogeologist conducting research on geothermal energy. His current projects involve very low to high temperature resources associated with both geothermal heat pumps and power production, spanned over four continents, from the arctic to the tropics, helping to develop sustainable energy solutions for growing needs of our society. Awardee of the Canadian Geotechnical Society, chair holder of the Institut nordique du Québec and granted by UNESCO, Professor Raymond leads the Laboratoire ouvert de géothermie to characterize thermophyscial properties of rocks essential to model geothermal systems of all kinds. The main objective of his projects, done in collaboration with geothermal designers, developers, manufacturers and regulators, is to improve the efficiency and profitability of systems by providing scientific and social innovations.

Devoted professor of energy engineering now building a philanthropic-based research group to bring water and light in areas of the world where communities and villages are not connected to the grid. Also working on natural building enveloppes.

Earlier, head of an industrial research Chair related to energy which aimed at proposing a novel regional development model for researchers established in regions of Quebec where there is no university. The Chair was hosted by the Chaudiere-Appalaches region. It realized 77 interventions and contributed to the foundation and activities of 3 start-ups.

Formerly, higher education executive with experience in all aspects of human, material, and financial resources management. Direct experience in government liaison, research funding, foundation operations, and international relations.Particularly skilled for team work with key social and economic actors. Interested in having universities closely implemented in their communities. Focused on the key issues of mediation and conciliation when it comes to discuss with unions and external partners.

Project manager focused on the appropriate optimization of performance, time, and budget to deliver products enthusiastically acknowledged.

University faculty with substantial design and heat transfer experience, and several local and Canadian awards. Network involving more than 25 collaborations with more than 10 countries and universities.

Specialties:

• Economic, social and university development;
• Innovative solutions, out-of-the-box thinking, global vision;
• Fund raising;
• Human, material, and financial resources management;
• Mediation and conciliation;
• International and inter-university relations;
• Team work and university teaching and learning skills;
• Design and energy research and teaching;
• Industrial design of mechanical systems.

Areas of expertise

• Forest soils
• Forest biomass

Research centers and groups

• Member of the Centre for Research on Renewable Materials (CRMR)

Areas of interest

• Generation, storage, transmission and distribution of electrical energy
• Smart, decentralised and sustainable electricity grids
• Modeling and Simulation of Electrical Machines
• Applications of Machine Learning and Signal Processing to Network Control

Research areas:

• Data science (data mining, knowledge representation, artificial intelligence in general and machine learning in particular)
• Computer security
• Internet of Things (IoT) and its applications to: Smart Health, Smart Homes, Smart Cities, Smart Industry and IT system resilience
• Transformative experiences with the paradigms of augmented/virtual/mixed realities, IoT and AI.

Research interests:

• Energy

Research areas:

• Power converters modeling and high density packaging
• Electric drive simulation (real-time and offline)
• Power converters real time simulation on FPGA
• Measurement and prediction of power converters EMI performances

Main areas of activity and research:

• Developing a promising and forward-looking vision
• Supporting a multidisciplinary team in the execution of their tasks
• Developing successful collaborations
• Sustainability and modernization of the equipment fleet

Professor Vincent Aimez holds degrees in electrical engineering from the University of Rouen in France, applied physics from Kingston University in the United Kingdom, and electrical engineering from the University of Sherbrooke. A professor in the Department of Electrical and Computer Engineering, he is the Director of Scientific Partnerships at the MiQro Innovation Collaboration Centre (C2MI), which brings together a range of industrial and academic partners to accelerate the commercialization of micro-nanotechnologies. He is a founding member of 3IT.nano at the University of Sherbrooke. In recent years, he has pioneered numerous strategic industrial partnerships in the field of micro-nanotechnologies.

He is currently working on the development of the solar technology park at the University of Sherbrooke, aiming to integrate multiple sources of solar energy production and renewable energy management, in partnership with Hydro-Sherbrooke. His work has resulted in over 200 publications and conference presentations, and includes numerous collaborations with various industrial partners in France and Canada.

He is the co-founder of the CNRS International Joint Unit, known as the Nanotechnologies Nanosystems Laboratory (LN2). Benefiting from an original scientific positioning linked to multiple academic and industrial partners on both sides of the Atlantic, LN2 has become a point of contact between Europe and North America in the field of micro-nanotechnologies.

Research areas:

• Energy

Expertise:

• Electrical machines and drives
• Simulation and control of electrical networks
• Dynamics and stability of electrical networks
• Hybrid sources of electrical energy

Research areas:

• Energy

Expertise:

• UPQC
• Wave quality
• Harmonic compensation
• Active power filters
• Statcom
• Dstatcom –
• Renewable energy
• Wind turbines
• Solar panels
• Grid Interfacing

Specialties:

• Power system control and optimisation with emphasis on economics and security;
• Power system flexibility;
• Operations planning methods for networks with large-scale integration of wind and other non-dispatchable generation resources;
• Demand-side integration;
• Stochastic, mixed-integer, and data-driven modelling and optimization methods for electrical energy systems;
• Treatment of economic externalities in electricity markets.

Research interests and activities:

Research activities are focused on development and integration of solar energy systems into buildings to generate electricity, useful heat and for daylighting. My long term vision is the realization of solar buildings operating in Canada as integrated advanced technological systems that generate in an average year as much energy as they consume.

A key element of our approach is that solar technologies are integrated in an optimal manner with energy efficiency measures, with the building envelope and with HVAC systems, so the potential energy savings are even higher than separately applying the two approaches and reductions in total cost may be realized.

I am looking for new graduate students and postdoctoral fellows with strong backgrounds in building engineering or civil/mechanical engineering and related fields (applied physics, architectural engineering etc) to work in exciting projects using a new state-of-the-art solar simulator and environmental chamber – an internationally unique laboratory.

Ali Hakkaki-Fard is an associate professor in the Department of Mechanical Engineering at Université Laval. His research focuses on energy efficiency and renewable and sustainable energy systems. His research focuses on three main areas: geothermal energy, ejector cooling systems and photovoltaic thermal systems. However, he is also interested in green hydrogen production, district heating and building energy systems. Her main research goal is to make green energy accessible and affordable for all.

He received his Ph.D. from McGill University in 2011. His doctoral research focused on the numerical analysis of flow fields of unsteady reflections of shock waves. He joined CanmetENERGY-Natural Resources Canada in Varennes as a postdoctoral researcher in 2012. There, he studied air-source and geothermal heat pumps.

He left CanmetENERGY in December 2015 and joined the Department of Mechanical Engineering at Sharif University of Technology (UTS) in Tehran, Iran. He created the Renewable and Sustainable Energy Systems Lab at the same university. He left UTS and joined Laval University in August 2022.

Gaixia Zhang holds the Marcelle-Gauvreau Research Chair in Engineering at the École de technologie supérieure (ÉTS), Montreal, Canada. She received her Ph.D. from Polytechnique Montréal and then continued her research at Western University and INRS, Canada. His research interests focus on advanced materials (catalysts, electrodes, and electrolytes) for sustainable energy devices and systems, including batteries, fuel cells, green hydrogen production, and_CO2 reduction. She is also interested in interface and device engineering, as well as in-situ characterizations and theoretical simulations. She has published over 150 peer-reviewed articles in leading journals, including Nature Sustainability, Energy Environmental Science, Advanced Materials, Advanced Energy Materials, Angew. Chim. Int. Ed., ACS Energy Letters, and more. She is the author of 10 book chapters and holds 4 U.S. patents (along with industry) related to batteries and fuel cells. She is among the top 2% of scientists in the world.

Gaixia Zhang is a Marcelle-Gauvreau Engineering Research Chair Professor at École de Technologie Supérieure (ÉTS), Montreal, Canada. She received her Ph.D. degree from Polytechnique Montréal, and then continued her research at Western University and INRS, Canada. Her research interests focus on Advanced Materials (catalysts, electrodes, and electrolytes) for Sustainable Energy Devices and Systems, including batteries, fuel cells, hydrogen production, and CO₂ reduction. She is also interested in interface and device engineering, as well as in-situ characterizations and theoretical simulations. She has published over 150 peer-reviewed articles in top journals including Nature Sustainability, Energy Environmental Science, Advanced Materials, Advanced Energy Materials, Angew. Chem. Int. Ed., ACS Energy Letters, etc. She has authored 10 book chapters and holds 4 US patents (with industry) related to batteries and fuel cells. She is among the world’s top 2% scientists

Abdeldjebar Hazzab completed his degree in State Engineering (1995), Magister (1999) and Doctorate (2006) at the University of Science and Technology of Oran in Algeria, all in electrical engineering. Since May 01, 2023 he has joined the Centre for Research and Innovation in Energy Intelligence (Cr2ie) in Sept-Îles as a researcher, he participates in the development of Cr2ie’s research projects. From October 01, 2023 to date, he has been an Associate Professor at the École de Technologie Supérieure (ÉTS) in Montreal. From July 01, 2022 to October 01, 2023 he was Visiting Professor where he contributes to the development of research in GRÉPCI. From April 4, 1999 he held the position of Assistant Professor, in February 2006 he became a Lecturer, in November 2011 he had the rank of Professor at the University of Bechar in Algeria. He has taught several modules in electrical engineering. He has held several administrative and scientific positions at the university. Director and founder of the CAOSEE research laboratory 11/2009 to 04/2022. Project manager of 05 research projects related to AI. He has supervised more than 43 doctoral theses and 40 master’s theses. Author of nearly 135 scientific and technical publications and 04 chapters in books. He has extensive experience in the energy field, particularly in renewable energy, advanced control, power electronics, industrial computing, AI, microgrids, smart grids, energy storage, and industrial energy efficiency.

Kun Zhang is a professor of mechanical engineering at the École de technologie supérieure (ÉTS). He collaborates closely with international researchers, in projects organized by the International Energy Agency (IEA) and the International Building Performance Simulation Association (IBPSA). Its specialty lies in the field of energy flexibility, advanced control systems, as well as smart buildings and cities, aimed at reducing greenhouse gas emissions.

Dr. Ruelland designed a simulator of electric railway networks to size power equipment and evaluate train performance. As a train control engineer, he developed an expertise in RAMS (Reliability Availability, Maintenability, Safety) of electronic systems during his work to extend and renovate the Montreal metro. He is the author of articles on the energy optimization of railway networks for the IEEE and for the AQTr.

Dr. Ruelland has been a lecturer in electric transportation at ÉTS since 2016. Since 2022, he has been a teacher at Cégep Limoilou in electrical engineering technology. He participates in research efforts in the field of community resilience. The aim is to propose new software or hardware means to support a community in the event of an energy failure, while taking decarbonisation into account.

José A. Candanedo is an Associate Professor in the Department of Civil and Building Engineering at the Université de Sherbrooke. His research interests include model-based predictive control for buildings, development of optimal energy control and power demand management strategies, control-oriented modeling of thermal dynamics of buildings and HVAC systems, data analysis in buildings, modeling of thermal energy storage devices, energy flexibility and building-grid interaction. José is part of the Canadian delegation participating in the IEA EBC Annex 81 “Data-Driven Smart Buildings” (2019-2023), where he co-leads Subtask B (Model-Based Predictive Control).

Shamsodin Taheri is a full professor in the Department of Computer Science and Engineering at the Université du Québec en Outaouais (UQO). All of his research is based on the practical application of advanced techniques for the integration of renewable energy sources into the electricity grid in cold conditions. More specifically, his research team evaluates the performance of photovoltaic panels and their integration in cold regions using artificial intelligence techniques. He established a research laboratory within UQO (LAR3E: Laboratoire de recherche en efficacité énergétique des réseaux électriques) based on his CFI grant. He contributed to the implementation of the innovative program by creating the innovative renewable energy and smart grids unit at UQO. He is also a senior member of the IEEE.

Research interests:

• Power Electronics
• Renewable
• Energy efficiency
• Smart Grids