Dr. Fei Teng is an Associate Professor in the Department of Electrical and Electronic Engineering at Imperial College London and Director of Education at the Energy Futures Lab, a pan-university hub for interdisciplinary energy research. He holds visiting positions at MINES ParisTech, PolyU Hong Kong, and KTH Sweden. His research focuses on software-defined power networks, stability-constrained optimization, cyber-resilient decision-making, and privacy-preserving data exchange in low-inertia grids. Dr. Teng has authored over 100 publications in top-tier journals and conferences, with funding from EPSRC, Innovate UK, the Royal Society, and industry partners like Hitachi and National Grid ESO. His work addresses critical challenges in grid stability, cybersecurity, and renewable energy integration. He has received prestigious awards, including the IEEE Early Career Award and Royal Society Kan Tong Po Fellowship. Research interests include high-penetration power electronics, uncertainty modeling in power systems, and data privacy in smart grids. His interdisciplinary approach integrates machine learning, quantum computing, and cyber-physical systems to enhance grid resilience and efficiency. Key contributions include frameworks for stability-constrained optimization, cyber-resilient control, and synthetic inertia from electric vehicles. He advocates for software-defined grids to revolutionize decision-making frameworks for NetZero systems.
Massachusetts Institute of TechnologyUnited States
Jeremy Hahn is an Assistant Professor at the Massachusetts Institute of Technology (MIT), affiliated with the Department of Mathematics within the School of Science. His research focuses on Algebraic Topology, particularly structured ring spectra, chromatic homotopy theory, and equivariant homotopy theory. Supported by grants from the Sloan Foundation and the National Science Foundation (DMS-1803273), his work has contributed to foundational advances in topological K-theory, algebraic K-theory, and manifold topology. Education details are not explicitly listed, though past teaching roles at Harvard University suggest prior academic training. His research interests span topics including: Structured ring spectra constructions (e.g., truncated Brown-Peterson spectra) Chromatic redshift phenomena and algebraic K-theory Equivariant orientations and C_p actions Applications of homotopy theory to manifold classification Notable recent work includes counterexamples to Ravenel's telescope conjecture, advancements in motivic filtrations of topological cyclic homology, and the construction of multiplicative structures on classical spectra. Collaborations with researchers such as Robert Burklund, Dylan Wilson, and Allen Yuan reflect his active engagement in the global topology research community. Teaching includes advanced courses like Algebraic Topology I (18.905) and past roles as a teaching assistant for Linear Algebra (18.06) and multivariable calculus at MIT. His research has been supported by multiple NSF grants and the Sloan Fellowship, indicating sustained academic excellence and leadership in the field.
Andrea Bonfiglio is an Associate Professor at the Department of Naval, Electrical, Electronic and Telecommunication Engineering (DITEN) within the School of Engineering at the University of Genoa. His work focuses on power systems, smart grids, and renewable energy integration with a particular emphasis on innovative control strategies and energy storage solutions. Teaching areas: Electrical Systems, Industrial Measurements, Energy Security Key research themes: Smart distribution networks, synthetic inertia, microgrid control, vehicle-to-grid technologies, battery energy storage Recent work explores virtual energy partitioning, load flow optimization, and inertia allocation in transmission networks Contact: a.bonfiglio@unige.it His publications highlight advanced control methodologies using machine learning and sliding mode control for both transmission and distribution networks, with applications to renewable integration and grid stability challenges.
Roozbeh Torkzadeh is a researcher with expertise in smart grids, synchrophasor technologies, and power quality. He completed his M.Sc. (Hon.) in Electrical Engineering at Yazd University (2013) and earned his Ph.D. from the Department of Electrical Engineering at Eindhoven University of Technology (TU/e) in 2023. His Ph.D. project was funded by Netbeheer Nederland. He has held research roles at Universidad Loyola Andalucía (Spain) and TenneT TSO BV (Netherlands), and is currently a guest researcher at TU/e while working as a Senior Electrical Engineer at Shell Global Solutions International, focusing on grid connection, renewable integration, and decarbonization. Education: M.Sc. (Hon.) in Electrical Engineering, Yazd University (2013) Ph.D. in Electrical Engineering, Eindhoven University of Technology (2023) Roozbeh’s research spans power systems, renewable energy integration, and grid stability. He has contributed to voltage dip assessment, energy transition impacts on network quality, and PMU placement optimization. His work emphasizes practical challenges in wide-area measurement systems, fault current injection, and synthetic inertia control for low-inertia grids. Recent publications highlight trends in energy transition-driven grid modifications, voltage dip analysis, and synchrophasor applications. Key subfields include network modeling, renewable energy markets, and hydrogen scheduling. Scientific Awards: Next Generation Network (NGN) Showcase Presentation Award (CIGRE, 2021) His Ph.D. grant from Netbeheer Nederland and collaborations with Dutch grid operators underscore his industry-academia engagement. Current roles in Shell and TU/e reflect his focus on electrification and decarbonization projects.
Kunihiko Kaneko is a Professor at the Niels Bohr Institute, University of Copenhagen, with a distinguished career in theoretical biophysics and complex systems. He received his PhD and MSc in Physics from the University of Tokyo, and has held leadership roles at the Universal Biology Institute and Center for Complex Systems Biology. PhD Physics, 1984 - University of Tokyo MSc Physics, 1981 - University of Tokyo His research spans five primary areas: Universal Biology, Evolutionary Constraints, Ecosystem Dynamics, Neural Cognition, and Universal Anthropology. He has published extensively on multi-level consistency principles, dimensional reduction in biological systems, and reciprocity between robustness and plasticity across scales. Recent publications show strong focus on microbial ecosystems (2025), evolutionary game theory (2025), neural modular architectures (2024), and dimensional reduction in cellular systems (2024). His work bridges physics and biology through dynamical systems theory applied to diverse phenomena from protocells to human societies.
Dr. Vijay K. Sood is a Professor in the Department of Electrical, Computer and Software Engineering at Ontario Tech University. He holds a PhD in Power Electronics from Bradford University (UK), and has extensive experience in power systems, power electronics, and renewable energy integration. His research focuses on High Voltage Direct Current (HVDC) systems, Flexible AC Transmission Systems (FACTS), power electronics converters, and grid protection. He has received numerous awards, including Life Fellow of IEEE, Emeritus Fellow of the Canadian Academy of Engineers, and the 2000 IEEE Third Millennium Medal. Dr. Sood has authored/co-authored over 100 publications, including peer-reviewed articles in top journals like IEEE Transactions on Power Electronics and International Journal of Electrical Power & Energy Systems. His work addresses challenges in grid stability, renewable energy integration, and advanced control strategies for power systems. Education: PhD (Power Electronics), Bradford University, UK (1977) MASc (Electrical Machines), Strathclyde University, Scotland (1969) BSc (Electrical Engineering), Nairobi University, Kenya (1967) Awards: IEEE Third Millennium Medal (2000) Canadian Pacific Railway Engineering Award (2002) IEEE Regional Activities Board Achievement Awards (2001, 2006) His research emphasizes practical solutions for modern power systems, including HVDC controller design, synthetic inertia control for renewable grids, and advanced fault detection techniques. He has collaborated internationally on projects like the Energy System Observatory of Honduras and grid architecture models for multi-terminal DC systems.
Dr. Qiteng Hong is a Reader in the Department of Electronic and Electrical Engineering at the University of Strathclyde, Faculty of Engineering. He holds a BEng (Hons) and PhD from the same institution and is a leading researcher in power system protection and control for renewable-dominated grids. He is Deputy Director of the MSc in Electrical Power and Energy Systems and a member of the Steering Committee for the Joint MSc with Hong Kong University of Science and Technology (HKUST). BEng (Hons), Electronic and Electrical Engineering, University of Strathclyde, 2011 (Top Graduate of the Year) PhD, Electrical Engineering, University of Strathclyde, 2015 (fully funded by National Grid) His research focuses on novel solutions for monitoring, protection, and control of future power systems, particularly those with high renewable penetration. Key areas include wide-area monitoring using synchronized measurements, protection of converter-dominated systems, fast frequency response in low-inertia networks, and digital twin-based real-time control. His work contributes to UN Sustainable Development Goals in clean energy and climate action. Dr. Hong has published over 110 research outputs, including 59 journal articles. His recent publications (2025) emphasize fault detection and arc suppression in active distribution networks using advanced converter topologies and signal processing techniques. Themes include traveling wave analysis, Hough transform, synthetic zero-sequence signals, and machine learning for frequency prediction, reflecting a strong trend toward intelligent, data-driven power system protection. Gold Medal, 49th International Exhibition of Inventions Geneva (2024) IET Best Paper Award (DPSP APAC 2025) Best Paper Award, IEEE APAP (2019) Principal’s Award Runner Up, University of Strathclyde (2024) Students' Choice Award (2021) British Renewable Energy Awards – 'Highly commended' (2018) IET Prize for Academic Excellence (2011) John Moyes Lessells Scholarship (2013) Shortlisted for Best Innovation Award, Scottish Renewables (2018) Dr. Hong has led or participated in over 50 research and KE projects, securing £11M in funding (PI on £2.26M). He leads a team of 10 researchers, including 5 PhD students, and has developed the LGMVP platform—the UK’s first online tool of its kind. He serves on the University Senate, is a guest editor for 5 journal special issues (Co-Guest Editor-in-Chief for a special issue on zero-carbon power systems), and has delivered teaching across 9 modules. He has been PI or Co-I on major projects such as SETTLE-INSIGHT (NIA), Shell-iCase, and NGET SIF ALPHA. He leads an active research group focused on smart grid protection and digital twin technologies. He is the main developer of four prototype software tools and mentors a team of PhD students and research associates. His lab collaborates with industry partners like SSE, National Grid, and Shell, and he is a key figure in international initiatives through IEEE and CIGRE.
Alberto Oliveri is an Associate Professor at the University of Genoa in the Department of Naval, Electrical, Electronic and Telecommunications Engineering. He teaches courses including Circuits and Systems, Nonlinear Circuits and Systems, Power Management, and Elements of Electrical Technology for undergraduate and graduate programs in Electronic Engineering, Information Engineering, Industrial Technologies, and Chemical Engineering. His research focuses on advanced topics in power electronics and control systems, with particular emphasis on: Modeling and optimization of magnetic components (inductors) for switch-mode power supplies FPGA implementation of nonlinear model predictive control algorithms Synthetic inertia solutions for renewable energy grid integration Embedded control systems for power converters Advanced modeling of ferrite-core and amorphous-core inductors His recent publications (2022-2025) demonstrate a consistent focus on improving power conversion efficiency through advanced control strategies and hardware implementation. Research themes include predictive control optimization, magnetic component characterization under saturation conditions, renewable energy grid support functions, and embedded algorithm development for real-time power system monitoring.
Peiyuan Chen is an Associate Professor at the Department of Electric Power Engineering, Chalmers University of Technology. He holds a B.Eng. from Zhejiang University (2004), an M.Sc. from Chalmers (2006), and a Ph.D. from Aalborg University (2010). His research focuses on power system operation and planning with wind power integration, emphasizing time series modeling, statistical analysis, and optimization. He contributes to projects on grid-forming converters, inertia estimation, frequency control, and renewable energy system stability. Research Interests: • Power Systems and Renewable Integration • Grid-Forming Converters and Stability Analysis • Time Series Modeling and Statistical Methods • Machine Learning for Energy Applications • Frequency Control and Synthetic Inertia Recent Publication Trends include studies on deep learning for heating load classification, wind turbine type optimization, fault ride-through capabilities, and inertia estimation in converter-dominated grids. His work bridges theoretical power system analysis with practical implementations in Nordic and European energy networks. Projects (2017-2024) include grants from the Swedish Energy Agency, Swedish Research Council (VR), and collaborations with institutions in Sweden, China, and Italy. Key areas: grid strength metrics, multiport converter applications, and citizen energy communities.
Paolo Marocco is a Fixed-term Assistant Professor at the Department of Energy (DENERG) of Politecnico di Torino, Italy. His work focuses on hydrogen-based mobility solutions, renewable energy systems, and techno-economic/environmental sustainability analysis. He serves on teaching committees for Electrical and Energy Engineering, Mechanical Engineering, and Aerospace Engineering programs. Academic Role: Assistant Professor (Fixed-term) Department: Department of Energy (DENERG) Teaching: Hydrogen Laboratory, Electrical Energy Storage Systems, Applied Thermodynamics Research spans four key areas: Hydrogen Infrastructure : Green hydrogen production for ammonia synthesis, aircraft propulsion, and rail transport decarbonization. Projects include SOFFHICE (SOFC hybridization in maritime engines) and PNRR initiatives for industrial decarbonization. Energy Storage Systems : Hydrogen-battery hybrid storage, virtual thermal inertia storage, and optimal dispatch models for wind-electrolysis systems. Industrial Decarbonization : Semiconductor manufacturing, steel industry high-temperature heat substitution, and biogas carbon recovery. Policy Integration : Bridging technical research with European green policy targets through Italian energy modeling. He supervises 7 PhD students across Energetics, Mechanical Engineering, and Energy/Nuclear Engineering programs. Current projects include SOFFHICE (2023-2026) and PNRR-funded industrial furnace decarbonization (2023). Recent publications analyze hydrogen train feasibility, aviation fuel cells, and storage system optimization.
Ramteen Sioshansi is a Professor in the Department of Engineering and Public Policy, the Department of Electrical and Computer Engineering, and Heinz College at Carnegie Mellon University, where he also serves as Associate Department Head for Graduate Affairs and Director of the Carnegie Mellon Electricity Industry Center. He is additionally an Adjunct Professor at The Ohio State University’s Department of Integrated Systems Engineering. His work bridges engineering, economics, and policy with a focus on energy systems and market design. His research interests include energy storage, electricity market design, renewable integration, decarbonization, grid resilience, and energy justice. He employs advanced optimization and modeling techniques to analyze how energy systems can be operated and regulated more efficiently and equitably. His work often addresses the economic and policy challenges of integrating low-carbon technologies and distributed energy resources. Ramteen's recent publications highlight a strong trend in analyzing the role of energy storage in providing multiple grid services, reforming market designs to accommodate long-duration storage, and ensuring equitable access to resilient energy. His work spans technical modeling, economic analysis, and policy implications, frequently appearing in high-impact journals such as Current Sustainable/Renewable Energy Reports and The Energy Journal . Energy Justice Through Energy Storage Long-Duration Energy Storage (LDES) Policy Electric Vehicle Integration Demand Flexibility and Aggregators Hydrogen and Carbon Removal Economics Small Modular Reactors and Nuclear Policy Ramteen has received recognition as a top researcher in energy and energy storage domains. He actively contributes to the academic community through INFORMS, particularly in the Energy, Natural Resources, and the Environment (ENRE) section, and encourages nominations for prestigious awards like the Harold Hotelling Medal. He advises graduate students, including recent PhD graduate Dr. Hyeong Jun Kim and former student Joe Duggan. His research is supported by collaborations across academia, national labs (e.g., Argonne), and industry. He frequently engages with media on topics such as natural gas supply risks, EV integration, and the future of nuclear energy. Ramteen leads the Carnegie Mellon Electricity Industry Center, a hub for interdisciplinary research on electricity markets and policy. He is also a Faculty Affiliate at the Wilton E. Scott Institute for Energy Innovation, where he contributes to CMU’s broader energy innovation ecosystem.
Dr. Qian Lu is Assistant Professor in Connected and Autonomous Vehicles at Coventry University's Centre for Future Transport and Cities. With industrial experience at Jaguar Land Rover (2016-2020) leading ADAS projects, he specializes in CAV risk assessment, verification and validation, and control systems. Holds a PhD in Control Engineering from University of Manchester (2012), MSc in Control System Engineering, and BEng in Electrical Engineering from Huazhong University of Science and Technology. Research spans CAV safety assurance, energy management for EVs, and wind turbine control. Industrial innovations include automated parking systems earning 2019 TATA Innovista award and patented technologies receiving JLR Technical Excellence recognition. Serves as reviewer for IEEE Transactions and Proceedings of IEEE. Current projects focus on synthetic data for AV training and cybersecurity.
Fabio D'agostino is a Researcher at the University of Genoa , affiliated with the Department of Naval, Electrical, Electronic and Telecommunications Engineering (DITEN). He teaches courses such as Shipboard Power System Control , Naval Electric Propulsion , and Elements of Electrical Protection and Safety for undergraduate and graduate programs in Electrical and Naval Engineering. Research Interests : Shipboard Power Systems DC Microgrids Hybrid Energy Storage Smart Grids Optimization Algorithms Maritime Decarbonization Publications focus on real-time co-simulation, power quality analysis, and optimal control strategies for naval and port energy systems. His work addresses stability, efficiency, and sustainability in electrical grids for marine applications. Labs : Involved in the ENET-RT lab and ShIL Project infrastructure for multi-domain marine co-simulation.
Andrea Barbarulo is a researcher at the University of Paris-Saclay Mechanics Laboratory, specializing in computational mechanics and acoustics. His work focuses on advanced numerical methods such as Proper Generalized Decomposition (PGD), Variational Theory of Complex Rays (VTCR), and finite element methodologies applied to vibration analysis, acoustic modeling, and additive manufacturing. He has pioneered developments in mid-frequency vibration modeling for railway systems and 3D-printed synthetic materials. Key Expertise: PGD-based model order reduction, vibro-acoustic coupling, ultrasonic imaging, and computational material science Lab Affiliation: Paris-Saclay Mechanics Laboratory His research addresses challenges in railway track dynamics, noise propagation, and medical applications of 3D printing through innovative numerical frameworks. Recent work includes open-source software (pyTVRC) for medium-frequency simulations and high-fidelity models for patient-specific anatomy replication. Collaborative projects span disciplines including aeroelastic systems, laser powder bed fusion, and material characterization for biomedical applications. Current focus areas involve advancing digital twin technologies for additive manufacturing and improving accuracy in transient thermal simulations.
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.
