Find Academic Supervisors

Afshin Rezaei-ZareView profile

Associate Professor

• Power Systems
• Renewable Energy
• Electrical Engineering
• +6 more

Afshin Rezaei-Zare is an Associate Professor in the Department of Electrical Engineering & Computer Science at York University. He holds a Ph.D. in Electrical Engineering from the University of Tehran and conducted postdoctoral research at the University of Toronto (2005-2009). His career spans academic and industrial roles, including 7 years at Hydro One Networks Inc. as a specialist in power system planning and reliability. Registered Professional Engineer (Ontario) Senior Member of IEEE Associate Editor, IEEE Transactions on Power Delivery Chair, IEEE Task Force on Power Equipment Vulnerability to GIC His research focuses on power system resilience to geomagnetic disturbances (GMD) , real-time simulation, and electric vehicle energy management . He pioneered the world’s first in-service GMD real-time simulator for Ontario Grid Control Center and contributed to renewable energy system optimization. His recent publications emphasize transformer protection under GIC conditions , EV battery charging analytics , and smart grid technologies . He has led critical advancements in GMD monitoring and mitigation strategies, including adaptive machine learning for battery state-of-charge prediction and DFACTS-based voltage unbalance control. Hydro One President Award in Innovation for GMD simulator development

Sebastien Nicolas GrosView profile

Professor

• Model Predictive Control (MPC)
• Reinforcement Learning
• Stochastic Optimal Control
• +5 more

Prof. Sebastien Nicolas Gros is a Full Professor and Head of the Department of Cybernetics at NTNU (Norway). He holds a PhD from EPFL (2007) and has held positions at Strathclyde University, KU Leuven, and Chalmers University of Technology. His research focuses on Model Predictive Control (MPC), Reinforcement Learning, Stochastic Optimal Control, and their applications in energy systems, autonomous systems, and bioengineering. Education: PhD in Control Systems, EPFL, Switzerland (2007) Postdoc at KU Leuven (2011-2013) Associate Professor at Chalmers University (2013-2017) Research Interests: Safe Reinforcement Learning, Data-Driven MPC, Energy Management in Buildings, Wave Energy Conversion, Artificial Pancreas Systems. His work is applied to industries like Equinor, DNV, and CorPower Ocean. Collaborations: Co-supervises PhD projects on Multi-Rotor Wind Turbine Control and Artificial Pancreas Industry partnerships with Volvo, SINTEF, and Pixii Labs: ITK Smart House, Hydroponics Units, Wave Energy Testbeds Grants & Projects: MAIDOM project for smart home energy management AWEbox framework for Airborne Wind Energy National and industrial grants for control systems research

Kianoosh Ghoami BoroojeniView profile

Teaching Professor

• Network Optimization
• Cybersecurity
• Smart Grids
• +3 more

Kianoosh Ghoami Boroojeni is an Associate Teaching Professor at the School of Computing and Information Sciences, Florida International University. His academic journey includes a Ph.D. (2017) and M.Sc. (2016) in Computer Science from Florida International University, and a B.Sc. (2012) in Computer Engineering from the University of Tehran. He has co-authored five books with MIT Press and Springer, and published numerous peer-reviewed papers in journals and conferences. Ph.D., Computer Science, Florida International University (2017) M.Sc., Computer Science, Florida International University (2016) B.Sc., Computer Engineering, University of Tehran (2012) Boroojeni's research focuses on network optimization and cybersecurity, with specific applications in smart grids, distributed sensor networks, and oblivious routing algorithms. His work bridges theoretical advancements with practical implementations in energy systems and network security. His publications span topics like electric power demand forecasting, economic dispatch algorithms, and cloud-based oblivious routing platforms. Key themes include smart grid security, optimization techniques, and network algorithms. He has received multiple awards for his research excellence, including best paper recognitions and graduate fellowships. Best Paper Award (NSF-REU Workshop, Summer 2017) Best Graduate Student Research Award (Florida International University, 2016) Dissertation Year Fellowship Award (Florida International University, 2016) Best Paper Award (Eighth International Conference on Computer Communication Networks, July 2014) As an educator, Boroojeni contributes through teaching and research supervision, though no explicit student list is provided in the text. He maintains active involvement in advancing cybersecurity frameworks and energy system optimization methodologies.

Graziana CavoneView profile

Assistant Professor

• Decision Support Systems
• Modeling and Control of Complex Systems
• Transportation Systems Optimization
• +4 more

Graziana Cavone is an Assistant Professor in Systems and Control Engineering at the University Roma Tre. She holds a Ph.D. in Electronic and Information Engineering from the University of Cagliari and is qualified as an Associate Professor in Automatica. Her research focuses on decision support systems, transportation networks, energy systems, and industrial automation, with expertise in Model Predictive Control (MPC), Petri Nets modeling, and resilient infrastructure design. Education: Ph.D. (Excellent with Honors), Electronic and Computer Engineering, University of Cagliari (2018) Master’s (Summa Cum Laude), Control Engineering, Polytechnic of Bari (2013) Research Interests: Optimization of intermodal transport terminals and railway networks Energy-efficient building management and microgrids Cyber-physical systems in Industry 4.0 Resilient critical infrastructure control Human-robot collaboration and safe ergonomics Grants & Leadership: Principal Investigator for a National Natural Science Foundation of China grant (2020–2021) Recipient of multiple RTD-B and research fellowships in control systems and automation Organizer of international conferences like IEEE CASE 2024 and MED 2021 Labs & Collaborations: Member of the Decision and Control Laboratory at University Roma Tre Collaborations with institutions like Delft University of Technology and Southwest Jiaotong University Industry partnerships with Enel, Fiat Chrysler Automobiles, and Elettric80

Jonathan NixonView profile

Researcher

• Wind Energy
• PV-Battery Systems
• Solar Thermal
• +5 more

Dr. Jonathan Nixon is a Senior Researcher and Associate Director for Research and Engagement at Coventry University's College of Engineering, Environment and Science. With a PhD from Aston University, his work focuses on renewable energy technologies including solar, wind, and bioenergy, particularly in humanitarian contexts such as refugee camps and cold climate environments. He leads the Innovate UK Energy Catalyst Project 'Solar Energy Transitions: Inclusive e-cooking in sub-Saharan Africa' and previously served as co-investigator on the EPSRC-funded Humanitarian Engineering and Energy for Displacement (HEED) project. Education: PhD in Hybrid Solar-Biomass Power Plants from Aston University His research integrates machine learning and Internet of Things (IoT) to optimize renewable energy systems through advanced energy systems modeling , life cycle assessment , and decision support systems . Key expertise areas include: Wind Energy PV-Battery Systems Solar Thermal Thermochemical Conversion Energy Optimization Cold Climate Adaptations Recent publications highlight trends in linear fresnel reflector optimization , biogas seasonal variation , and smart microgrid management across 2022-2024. His work emphasizes energy democratization and SDG7 implementation through community-engaged approaches. Scientific awards include: 2014 Outstanding Reviewer – Emerald Literati Network Awards for Excellence Research collaborations span companies, NGOs, and grassroots organizations with fieldwork in Rwanda, Nepal, and Pakistan. Current PhD projects focus on anaerobic digestion optimization , micro-grid load shedding , and wind turbine operations in cold climates .

Kristen SchellView profile

Researcher

• Large scale optimization
• Applied statistics
• Machine learning
• +6 more

Kristen Schell is a Research Scientist in the Industrial and Systems Engineering Department at Rensselaer Polytechnic Institute, part of the School of Engineering. Her work focuses on mathematical models for energy transition, combining wind energy forecasting, microgrid design, and spatio-temporal statistical methods. She holds dual doctoral degrees in Engineering and Public Policy from Carnegie Mellon University and the University of Porto, alongside a Master's in Environmental Engineering from Johns Hopkins University and a Bachelor's in Chemical Engineering from Carnegie Mellon University. Education: PhD in Engineering and Public Policy, Carnegie Mellon University PhD in Faculty of Engineering, University of Porto MS in Environmental Engineering, Johns Hopkins University BS in Chemical Engineering & Engineering and Public Policy, Carnegie Mellon University Her research interests span large-scale optimization, applied statistics, machine learning, renewable energy systems, and energy policy. She develops models informed by empirical data from utilities, weather predictions, and energy markets to address climate resilience and energy infrastructure challenges. Dr. Schell is actively mentoring PhD students in optimization modeling, statistical methods, and machine learning applications in energy systems. Her work bridges technical and policy dimensions of sustainable energy transitions.

• Electromagnetic Engineering
• Radio Frequency Systems
• Antenna Design
• +7 more

Raed Abd-Alhameed is a Professor of Electromagnetic and Radio Frequency Engineering at the University of Bradford, UK. He holds adjunct roles at Ninevah University and Basrah University. His expertise lies in antenna design, computational electromagnetics, and bioelectromagnetics. He leads the Communications Systems, Antennas, Propagation, and Computational Electromagnetics research group within the Faculty of Engineering and Informatics. His academic journey includes B.Sc. and M.Sc. from Basrah University (1982, 1985) and a Ph.D. from the University of Bradford (1997). Research interests span hybrid computational techniques, MIMO systems, energy-efficient antennas, and biomedical applications like breast cancer detection via RF sensing. He has supervised over 800 publications and eight books. Notable achievements include developing the hybrid method for electromagnetic field computation and pioneering low SAR antenna designs. Grants & Partnerships: EPSRC-funded projects, KTP collaborations with companies like Arris and Yorkshire Water, and EU initiatives on bioelectromagnetic effects. Awards: Certificate of Excellence (2014), Business Innovation Award, Fellowships from IET and HEA. Labs: Leads antenna design and 5G/6G initiatives, with active projects on reconfigurable filters and phased arrays.

Chris DiduchView profile

Professor

• Control Systems
• Power Systems
• Renewable Energy Integration
• +2 more

Chris Diduch is a Professor in Electrical and Computer Engineering at the University of New Brunswick. His research develops control strategies for power systems with high renewable penetration, focusing on voltage regulation and microgrid management. Key research areas: Smart grid optimization algorithms Renewable energy integration Demand-side management systems

Kristen SchellView profile

Associate Professor

• Wind power modeling and forecasting
• Power systems planning
• Renewable energy policy design
• +3 more

Professor Kristen Schell is an Associate Professor in the Department of Mechanical and Aerospace Engineering at Carleton University, joining in July 2020. She holds dual PhDs in Engineering from Carnegie Mellon University and the University of Porto, alongside degrees from Johns Hopkins and Carnegie Mellon. Her research focuses on renewable energy integration, including wind power modeling, electricity market dynamics, and policy design for sustainable energy systems. B.S. Chemical Engineering - Carnegie Mellon University M.S.E. Environmental Engineering - Johns Hopkins University Dual Ph.D. Engineering - Carnegie Mellon University & University of Porto Her work combines machine learning and optimization to address energy transition challenges, leveraging empirical datasets from utilities and climate models. She previously held roles at Rensselaer Polytechnic Institute (RPI) and Polytechnique Montréal, contributing to a US DOE ARPA-E grant. Currently leads the APEX lab, offering a PhD position in Physics-informed Deep Learning for Wind Power. No individual scientific awards listed, though part of team-awarded DOE funding. Active in federal-to-community energy policy advising.

• Electrical Engineering
• Power Systems
• Renewable Energy Integration
• +2 more

Ziqian Zhang is an Associate Professor at the Institute of Electrical Power Systems, Graz University of Technology. His research focuses on power system dynamics, grid-forming converters, and renewable energy integration. He actively contributes to projects like PHIL-TEST-PV and pro.tect, investigating inverter performance and protection technologies. Research interests include: Grid-forming converter control strategies Power hardware-in-the-loop testing methodologies Stability analysis of multi-converter systems Renewable energy grid integration challenges His publications demonstrate consistent focus on converter technologies and grid stability, with recent work exploring adaptive parameterization and dynamic performance boundaries.

Alexandra M. NewmanView profile

Professor

• Applied Optimization
• Transportation Logistics
• Mine Production Scheduling
• +5 more

Alexandra M. Newman is a Professor in Mechanical Engineering at Colorado School of Mines and serves as the Director of the Operations Research with Engineering Program. Her research focuses on applied optimization across diverse domains including mining, energy systems, healthcare, and sports scheduling. Education: BS in Applied Mathematics, University of Chicago MS in Operations Research, University of California, Berkeley PhD in Industrial Engineering and Operations Research, University of California, Berkeley Her work addresses complex logistical challenges in underground mine planning, renewable energy deployment, and counterinsurgency modeling. Recent publications emphasize microgrid resilience, electric vehicle energy consumption, and optimization of hybrid solar power systems. Notable research trends include: Integration of sustainability metrics in mining and energy systems Advancements in dispatch optimization for renewable energy Application of stochastic modeling to athletic and healthcare scheduling

Mahshid AmirabadiView profile

Associate Professor

• Power Electronics
• Renewable Energy Systems
• Microgrids
• +4 more

Mahshid Amirabadi is an Associate Professor in the Department of Electrical and Computer Engineering at Northeastern University. Her research focuses on power electronics for renewable energy systems, microgrids, variable speed drives, and wireless power transfer. She holds a PhD from Texas A&M University and has held academic positions at the University of Illinois at Chicago and Northeastern University since 2013. Education PhD, Electrical Engineering (Power-Power Electronics), Texas A&M University (2013) MS, Electrical Engineering (Power-Power Electronics), University of Tehran (2006) BS, Electrical Engineering (Electronics), Shahid Beheshti University (2002) Research Interests Dr. Amirabadi’s work centers on designing efficient and reliable power converters, particularly for renewable energy integration and high-frequency applications. She develops universal converters to streamline energy conversion processes across various systems. Key Awards NSF CAREER Award (2021) IEEE Transactions on Power Electronics Best Paper Awards (2020, 2021) Best Paper at IEEE ECCE (2016) Grants & Advising She leads NSF-funded research on universal SiC-based converters and has secured grants from the Office of Naval Research and ARPA-E. Her advisees include PhD students Ehsan Afshari and M. Khodabandeh, contributing to impactful publications in top journals. Labs & Teams Her lab focuses on advanced converter topologies and their applications in renewable energy systems, collaborating on projects like ARPA-E’s universal power converter initiatives.

• Data science in smart grids
• Electricity markets for renewable-rich power systems
• Network modelling/planning for renewable integration
• +3 more

Dr. Jiajia Yang is a Senior Lecturer in Renewable Energy and Electrical Engineering at James Cook University (JCU), Australia. He holds a Ph.D. from the University of New South Wales (2018) and has extensive experience in power system modeling, renewable integration, and energy markets. Prior to JCU, he worked as a Senior Research Associate at UNSW and a Senior Power System Engineer in industry projects like the Renewable Energy Zone (REZ) programs. Education: B.E., Northeast Electric Power University, China (2011) M.E., Zhejiang University, China (2014) Ph.D., University of New South Wales, Australia (2018) Research Interests: Data science in smart grids Electricity markets for renewable-rich systems Localized/P2P trading mechanisms Hydrogen economy Recent Research Trends: Dr. Yang’s work focuses on decarbonizing power systems through innovative market designs, renewable integration, and cybersecurity. His 2024 studies emphasize hydrogen credit frameworks and carbon-neutral energy systems, while earlier projects address P2P trading and grid stability under high renewables. Awards: Outstanding Editorial Board Member (2023) Best Research Paper Award (2018) Advising & Grants: He coordinates teaching modules like Power Engineering 1/2 and leads the 2024 International Conference on Energy and Environment Engineering. His research is supported by projects like the North Queensland Transmission Grid Planning initiative (2024–2027). Labs/Teams: Engaged in IEEE PES roles, including IEEE Transactions on Industry Applications editorial work and chairing multiple conferences.

Fangxing LiView profile

Professor

• Power Systems
• Renewable Energy Integration
• Microgrid Control
• +5 more

Overview Fangxing 'Fran' Li is the John W. Fisher Professor in the Min H. Kao Department of Electrical Engineering and Computer Science (EECS) at the University of Tennessee, Knoxville (UTK), and Director of the NSF-funded Center for Ultra-wide-area Resilient Electrical Energy Transmission Networks (CURENT). He holds IEEE and IET Fellowships and serves as Editor-in-Chief of the IEEE Open Access Journal of Power and Energy. His research focuses on power systems resilience, renewable integration, and computational methods. Education PhD in Electrical Engineering, Virginia Tech (2001) MSEE, Southeast University, China (1997) BSEE, Southeast University, China (1994) Research Interests Dr. Li’s work emphasizes microgrid control , energy markets , machine learning applications , and grid resilience . He leads the ENLITEN Lab, advancing smart grid technologies and large-scale testbeds like CURENT LTB, which earned an R&D 100 Award in 2020. Awards & Recognition Recipient of the R&D 100 Award , UTK Chancellor’s Research Award , and numerous IEEE paper awards. His students have won top accolades at IEEE conferences and CURENT events. Labs & Teams Directs CURENT and oversees the ENLITEN Lab, collaborating with Oak Ridge National Laboratory (adjunct role). His team maintains a large-scale testbed and explores cutting-edge solutions for grid challenges.

• Nonlinear Control
• Automotive Systems
• Robotics
• +4 more

Antonella Ferrara is a Full Professor of Automatic Control at the University of Pavia's Department of Electrical, Computer and Biomedical Engineering (ECBE). She holds leadership roles, including Head of the Intelligent Robotics Laboratory and President of the Department's Research Standing Committee. Her academic journey includes a Laurea Degree (MSc equivalent) in Electronic Engineering from the University of Genova (1987) and a PhD in Computer Science and Electronics (1992). She transitioned from Assistant to Full Professor at the University of Pavia, contributing significantly to nonlinear control, automotive systems, robotics, and power systems. Her research focuses on sliding mode control, vehicular traffic modeling, and applications in autonomous systems. She has authored/co-authored over 450 publications, including 160 journal papers and monographs on topics like vehicle dynamics and freeway traffic control. Awards include IEEE Fellow (2020), IFAC Fellow (2021-2023), and AAIA Fellow (2024). She teaches courses such as Process Control, Robot Control, and Nonlinear Control in English, and contributes to international collaborations, including projects on sustainable mobility and medical robotics. Her institutional roles span research leadership, international mobility coordination, and editorial contributions to journals like Automatica and IEEE Transactions. Prof. Ferrara supervises numerous PhD, postdoc, and graduate students, leading over 200 MSc theses since 2020. She chairs major conferences, including the 24th IFAC World Congress (2029) and the 2024 IEEE Workshop on Variable Structure Systems. Her work bridges theoretical advancements with practical applications in industry, including collaborations with automotive companies like Ferrari F1 and FIAT.