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Dong ZhangView profile

Assistant Professor

• Energy storage systems
• Dynamic systems and control
• Electrified transportation
• +7 more

Dong Zhang is an Assistant Professor in the Department of Aerospace & Mechanical Engineering at the University of Oklahoma's College of Engineering. He leads the Energy Systems and Controls Lab (ESCL), focusing on energy storage systems, dynamic systems control, electrified transportation, and data-driven decision-making. His research includes battery management systems, electrochemical modeling, optimal control, and machine learning applications in energy systems. Education: Ph.D. in Systems Engineering from UC Berkeley (2020), dual M.S. in Systems Engineering (UC Berkeley, 2016), and dual B.S. degrees in Electrical and Computer Engineering (Shanghai Jiao Tong University, 2015) and Civil and Environmental Engineering (University of Michigan, 2015). Research interests emphasize battery state estimation, thermal dynamics, and safety-enhanced charging strategies for electric vehicles. He has received awards including the ASME Energy System ACC Best Paper Award (2020) and served as an invited session chair at SIAM control conferences. Key contributions include real-time battery capacity estimation, adaptive observers for electrochemical models, and PDE-based thermal control frameworks. His lab develops solutions for heterogeneous battery pack management and cyber-physical system integration in energy systems.

Arnab BhattacharjeeView profile

Research Fellow

• Artificial Intelligence
• Energy Systems
• Power Engineering
• +7 more

Dr. Arnab Bhattacharjee is a Postdoctoral Research Fellow at the University of Queensland's School of Electrical Engineering and Computer Science, specializing in AI-driven solutions for energy systems, power engineering, and cybersecurity. He holds a PhD (with distinction) in Electrical Engineering and Computer Science from the University of Queensland and the Indian Institute of Technology Delhi Academy of Research, alongside a B.Tech (Honors) in Electrical & Electronics Engineering from NIT Trichy, where he graduated as valedictorian. His research focuses on optimizing energy systems through machine learning and deep learning, with emphasis on battery degradation modeling, cyber-physical security for smart grids, and AI applications in healthcare (e.g., xViTCOS for COVID-19 screening). Key collaborations include TATA Power, Alt Mobility, and government agencies to advance energy forecasting and EV infrastructure planning. Dr. Bhattacharjee has contributed to leading institutions such as IIT Delhi, the Max Planck Institute for Intelligent Systems, and the University of Queensland. His work spans adversarial attacks on power systems, explainable AI, and stochastic optimization algorithms inspired by biological processes.

Tim WawerView profile

Professor

• Energy Economics
• Renewable Energy Systems
• Electricity Markets
• +4 more

Prof. Dr. Tim Wawer is a Professor of Energy Economics at the Osnabrück University of Applied Sciences , affiliated with the Faculty of Management, Culture and Technology . He serves as Scientific Director of the Research Center for Energy Economics and Energy Law (fee) , focusing on energy system transformation toward climate neutrality. His research emphasizes electricity markets, renewable energy integration, and stakeholder interactions in energy systems. Education: Studied Economics at the University of Münster (Germany) and Havana University (Cuba). Dissertation focused on integrating renewables into Germany's liberalized electricity market. Key Research Interests: - Modeling energy systems with high renewable shares - Sector coupling (electricity, heat, mobility) - Biogas and hydrogen infrastructure - Cross-border energy communities Notable Projects: - AutaGE : Energy-autark commercial areas (€87k funding) - KomDialog : Local decision-making in energy transition (€120k DBU grant) - SEREH : Cross-border energy region in Emmen/Haren (€201k Interreg funding) Publications: Authored 'Electricity Economics' textbook (Springer 2022) and over 20 peer-reviewed articles on energy markets, storage, and policy. Previous Experience: - Deutsche Energie-Agentur (dena) - Ecologic Institute (EU climate policy) - GDF SUEZ Energie Deutschland AG

Sukumar KamalasadanView profile

Professor

• Smart Grid Design
• Renewable Energy Integration
• Power Grid Modernization
• +7 more

Dr. Sukumar Kamalasadan is a Professor and ECE Research Coordinator at the W.S. Lee College of Engineering, University of North Carolina at Charlotte. He holds a Ph.D. from the University of Toledo (2004), M.Eng. from Asian Institute of Technology (1999), and B.Tech. from University of Calicut (1991). His primary research focuses on smart grid design, renewable energy integration, power grid modernization, and real-time control systems. He has also been honored as a W.S. Lee College of Engineering Distinguished Scholar. Key research areas include microgrid management, optimal power flow (OPF) methodologies, inverter control technologies, and grid resilience strategies. His work addresses challenges such as distributed energy resource (DER) integration, voltage/frequency control in microgrids, and dynamic stability enhancement through advanced control architectures. Publications highlight innovations in OPF modeling (e.g., SOCP-based approaches), grid-forming/following inverter designs, and fault evaluation in active distribution networks. He has contributed to curricular updates in power engineering education, emphasizing situative pedagogy and concept map assessments. Grants and collaborations involve projects on decentralized grid operation, ancillary services via uninterruptible power supplies, and resilience evaluation of distribution systems against extreme weather events.

Pedro RODRIGUEZ-AYERBEView profile

Professor

• Model Predictive Control
• Optimization-Based Control Design
• Power Electronics Control
• +4 more

Pedro RODRIGUEZ-AYERBE is a Professor at CentraleSupélec, University Paris-Saclay, affiliated with the Laboratoire des Signaux et Systèmes (L2S). His expertise spans Model Predictive Control, optimization-based control design, and power electronics control. He holds a Ph.D. (2003) and Habilitation (2014) in Automatic Control from Université Paris-Sud. His research addresses constrained dynamical systems, human-robot interaction, and industrial automation. Education : Ph.D. in Automatic Control (2003), University Paris XI; HDR (2014), Université Paris-Sud. Industry Experience : Fagor Automation (Spain) and Lore (France) from 1996–2000. Research Interests : Focus on robust and constrained control, predictive control algorithms, and applications in robotics, energy systems, and manufacturing. His work bridges theoretical advancements with practical implementations in power electronics and industrial automation. Recent Work : Recent articles explore fragility of control laws, human arm impedance dynamics, and zinc-air battery modeling. His 2025 paper in IEEE Transactions on Automatic Control analyzes polyhedral partition fragility in PWA control systems. Student Supervision : Over 20+ PhD students supervised since 2003, including current advisees in robotics, control systems, and energy engineering. Notable collaborations with institutions like CEA-LIST and CIAMS. Key Projects : Active in interdisciplinary research, including zinc-air battery control (2024), human-robot interaction (2023), and advanced manufacturing precision (2021). His lab contributes to EU industrial and academic initiatives.

• Nanomechanics
• Materials Science
• Thin Films
• +4 more

Dr. James Paul Best is a Guest Group Leader at the Max-Planck-Institut für Eisenforschung GmbH (MPIE), leading the "Nano-/Micromechanics of Materials" group and interim leader of the "Thin Films and Nanostructured Materials" group. His research focuses on small-scale mechanics, nanomechanical testing, and the interplay between material chemistry and deformation at micro- and nanoscales. He holds a PhD from the University of Melbourne (2013) in Chemical Engineering and has held postdoctoral roles at EMPA (Switzerland) and UNSW Sydney (Australia). His work bridges fundamental materials science with applications in energy-efficient manufacturing, battery systems, and advanced alloy design. Key methodologies include in-situ scanning electron microscopy (SEM), atom probe tomography, and correlative microscopy. Research interests emphasize thin films, metallic glasses, intermetallic interfaces, and additive manufacturing. He explores how atomic-scale chemistry influences mechanical properties, particularly in materials like Laves phases and high-entropy alloys. Applications span aerospace, energy storage, and industrial forging tools. His interdisciplinary approach involves collaboration with MPIE colleagues to integrate mechanical testing with advanced structural analysis.

Rick WolbertusView profile

Senior Lecturer

• Electric Vehicle Technology
• Smart Charging Infrastructure
• Renewable Energy Integration
• +3 more

Rick Wolbertus is a Senior Lecturer in the Department of Energy and Innovation at the Faculty of Technology, Amsterdam University of Applied Sciences. His work focuses on electric vehicle (EV) charging infrastructure, smart grid optimization, and sustainable transportation solutions. He leads research on grid capacity enhancement through dynamic charging strategies and collaborates on projects like the Flexpower3 initiative. His contributions include analyzing EV charging behavior, infrastructure scalability, and policy impacts. Wolbertus has published extensively on topics such as smart charging algorithms, battery-supported EV hubs, and post-pandemic charging patterns. He actively participates in professional activities, including invited talks on zero-emission construction sites and EV integration in urban grids. His work has been recognized with awards like the Zero Emission Techniek Talent 2020 and a 2023 nomination for the KennisDC Parel award. Key research themes include optimizing low-voltage grid hosting capacity, data-driven infrastructure development, and cooperative charging station usage. He co-authored influential reports like Data as Driver (2024) and has contributed to datasets on V2G technology and EV charging behavior analysis.

Oliver CurnickView profile

Associate Professor

• Hydrogen Energy
• Electrochemical Power Sources
• Fuel Cells
• +3 more

Oliver Curnick is an Associate Professor in Electrochemical Power Sources at Coventry University, leading the Hydrogen Energy research theme. His work focuses on advancing hydrogen technologies (production, storage, distribution) and lithium-ion battery diagnostics to support the sustainable energy transition. He is based at the Centre for Advanced Low Carbon Propulsion Systems and the Hydrogen Energy Applications Laboratory, which house facilities for collaborative industrial R&D projects. Research interests include overcoming technical/economic challenges in hydrogen energy systems, novel device/process development, and electrochemical diagnostic techniques for battery degradation assessment. Key areas include PEM fuel cells, lithium-ion battery lifecycle analysis, and integration of green hydrogen into multi-energy systems. Recent publications emphasize real-time battery diagnostics (e.g., non-linear frequency response analysis), hydrogen storage solutions, and system-level optimizations for fuel cell performance. His work aligns with UN Sustainable Development Goals related to affordable clean energy and climate action. Notable outputs include patents on ion exchange membrane fuel cells and peer-reviewed contributions to Journal of Energy Storage and Electrochemistry Communications . Collaborations span academic and industrial partners focused on advancing low-carbon propulsion and energy storage technologies. Ongoing projects include second-life battery applications and thermal management strategies for hydrogen-powered vehicles.

Thomas StatherosView profile

Assistant Professor

• Autonomous Systems
• Aerospace Engineering
• Avionics
• +4 more

Thomas Statheros is an Assistant Professor in Aerospace Engineering (Avionics, Autonomy, and Safety) at Coventry University, affiliated with the Research Centre for Future Transport and Cities (CFTC). He leads the Critical Autonomy and Safety Laboratory (CAUSLab) and contributes to British Standards Institution (BSI) standards for autonomy and safety. With over 23 years of experience in industrial and academic research, he specializes in Autonomous Systems, AI, Embedded Systems, and Avionics Design, collaborating with aerospace, automotive, and marine industries. He has designed safety-critical systems for projects like the LEMV airship and helicopter weather radar control panels, adhering to standards like DO-178B and ARP4754. His research focuses on Autonomous Systems Architecture, eVTOL aircraft, Avionics, and Safety-Critical Systems. Recent work includes developing efficient certification processes for aerospace and automotive industries, as well as designing verification/validation frameworks using simulators like Gazebo/Omniverse. He has led projects such as the EV-LIFT (Innovate UK), contributing £389K to Coventry University’s research on electric vehicle safety and performance. Key research trends in his articles include advancements in eVTOL design methodologies, battery health monitoring via optical sensors, and secure communication systems for non-terrestrial networks. His work bridges academic innovation with industrial application, emphasizing real-world testing and certification challenges. Teaching contributions include pioneering requirement-based verification in avionics modules and supervising over 35 undergraduate/postgraduate projects on autonomy, control systems, and safety-critical engineering. Collaborative efforts span industries and academic institutions, with notable partnerships in the UK, Europe, and the US. Current initiatives aim to address sustainability in aerospace and automotive sectors through hydrogen production and energy-efficient technologies.

Braja K. MandalView profile

Professor

• Energy Storage Systems
• Lithium-Sulfur Batteries
• Supercapacitors
• +3 more

Braja K. Mandal is a Professor of Chemistry at the Lewis College of Science and Letters, Illinois Institute of Technology. His research focuses on energy storage systems, particularly lithium-sulfur (Li-S) batteries and supercapacitors. He leads efforts to enhance Li-S battery performance through novel encapsulation strategies for polysulfide intermediates, including MnO₂-coated cathodes and ultra-thin AlF₃ coatings. His supercapacitor research emphasizes hybrid designs combining high surface area carbon hosts with pseudocapacitive coatings like MoS₂ and NiO to achieve high energy density. Education: B.Sc. (University of Calcutta), M.Sc. (Indian Institute of Technology), M.Tech. (Indian Institute of Technology), Ph.D. (Indian Institute of Technology). Current research includes synthesizing transition metal chalcogenides (Ni₀.₈₅Se, MoSe₂) for Li-S cathode coatings and doping mesoporous carbon with metal atoms to improve redox kinetics. His supercapacitor work targets 3.75 V operation with high capacitance. Recent achievements include a hybrid supercapacitor with 130.5 F/g capacitance and 47.9 Wh/kg energy density. Lab activities involve polymer electrolyte development and ionic liquid formulations. Collaborations include designing low-viscosity sulfonium ionic liquids and crosslinked polystyrene-based solid electrolytes. Future work aims to explore Ni₀.₈₅Se and MoSe₂ encapsulation in Li-S systems and improve carbon host doping techniques.

Stefano LandiniView profile

Lecturer

• Thermal Management
• Renewable Energy Systems
• Energy Storage
• +6 more

Dr. Stefano Landini is a Lecturer in Mechanical Engineering at the University of East Anglia's School of Engineering, Mathematics and Physics. He specializes in thermal and electrical energy systems, with a focus on energy storage, renewable technologies, and phase change cooling. His research contributes to UN Sustainable Development Goals related to affordable and clean energy. Education: BSc in Energy Engineering (2012), Politecnico di Milano MSc in Energy Engineering and Power Generation (2014), Politecnico di Milano MSc in Renewable Energy Engineering (2016), Heriot-Watt University PhD in Mechanical Engineering (2020), Heriot-Watt University Research Interests: Thermal management of batteries/electronics, thermal energy storage, renewable energy integration, heat transfer optimization, and energy/exergy analysis. His lab (Thermofluids) focuses on phase-change phenomena and novel materials for energy systems. Key Projects: Composite Phase Change Material for Thermal Energy Storage (Royal Society-funded) Low-Cost Thermal Energy Storage System Verification Solar Canopy-Battery Integration for Sustainability Awards: Energy Technology Partnership (ETP) PECRE Research Exchange Award (2019).

Sam RoozbehaniView profile

Research Fellow

• Microgrid Engineering
• Inverter Engineering
• Reactive Power Engineering
• +5 more

Sam Roozbehani serves as a Postdoctoral Research Fellow at the Department of Engineering Technology and Didactics Energy Technology and Computer Science, Technical University of Denmark (DTU), Ballerup campus. His research in power systems engineering directly supports UN Sustainable Development Goals for affordable and clean energy, with expertise spanning microgrid stability, inverter control, and advanced power system protection mechanisms. His primary research domains include Microgrid Engineering, Inverter Engineering, and Reactive Power Engineering, with specialized focus on fault ride-through coordination, grid-forming/grid-following inverter architectures, and advanced control techniques like fractional-order sliding mode control. Current investigations address critical challenges in renewable integration resilience, particularly voltage stability during grid faults and optimal control of hybrid photovoltaic-battery systems in microgrids. Analysis of his 2025 publications reveals concentrated efforts on real-time solutions for inverter-based microgrid stability, with significant contributions to fault management protocols and frequency regulation in industrial energy clusters. His work demonstrates consistent emphasis on practical implementations of control algorithms for wind turbine systems and eco-industrial applications. Dr. Roozbehani actively contributes to two major research initiatives: Electric weed control in seed crops - Developing electrical methods for sustainable agricultural weed management GRACE project - Creating grid capacity-aware investment frameworks for eco-industrial clusters to optimize sector coupling and renewable integration These projects involve cross-disciplinary collaboration with DTU researchers in energy systems and environmental engineering, targeting near-term industrial implementation.

Lorand SzaboView profile

Professor

• Electrical Machines
• Variable Reluctance Motors
• Linear Electric Generators
• +4 more

Lorand Szabo is a Full Professor at the Department of Electrical Machines and Drives , Faculty of Electrical Engineering , Technical University of Cluj-Napoca , Romania. He has been affiliated with this institution since 1990, transitioning from Research and Design Engineer to Lecturer (1999), Associate Professor (2007), and Full Professor (current). He also served as an Invited Professor at Pannon University (Hungary, 2007-2008) and University of Pavia (Italy, 2015). Teaching : Special Electrical Machines (1985-present), Electrical Machines and Drives (1996-present), Computer Aided Design of Electromechanical Systems (2009-present). Supervision : Ph.D. supervisor since 2007 for 8 students (6 completed). Research Focus : Linear and variable reluctance electrical machines, fault-tolerant designs, bearing fault detection in motors, and condition monitoring. His work extends to automotive applications (electric vehicles, hybrid systems), wind energy generators, and sustainable material sourcing for electrical machines. Recent Publications (2023-2025) address critical topics in sustainable mobility, including rare earth material dependency, deep-sea mining for electric technologies, battery management systems, and resource-efficient motor designs. These works reflect his interdisciplinary approach combining electrical machine innovation with environmental and industrial systems thinking. Technical Expertise : Finite element analysis (JMAG, ANSYS Motor-CAD), LabVIEW modeling, fault detection algorithms (wavelet transforms, kurtosis deconvolution), and modular motor construction for automotive and renewable energy applications.

Tejs VeggeView profile

Professor

• Autonomous materials discovery
• Energy conversion and storage
• Battery materials
• +4 more

Tejs Vegge is a Professor and Head of the Section for Autonomous Materials Discovery (AMD) at the Department of Energy Conversion and Storage, Technical University of Denmark (DTU). His research focuses on accelerating the discovery of clean energy materials through integrated computational and experimental approaches. Key areas include battery materials, hydrogen/ammonia storage, and electrocatalysts for sustainable fuels. Vegge leads major initiatives like the Pioneer Center CAPeX and the Villum Center V-Sustain, and has received awards such as the August-Wilhelm Scheer Visiting Professorship and the Ellen and Hans Hermers Award. His projects include the CAPeX Center (2023–2036) for P2X materials, the DELIGHT project (2021–2024) on green catalysis, and collaborations like Battery2030+. He supervises multiple PhD students in topics like battery electrolytes, autonomous workflows, and machine learning for materials design. Research Themes: Autonomous materials discovery, AI-driven experiments, sustainable energy systems Key Tools: Density Functional Theory (DFT), high-throughput screening, self-driving labs Recent Trends: Focus on strain engineering for ion conductivity, CO₂ reduction catalysts, and quantum computing applications Publications span over 300 articles, emphasizing interdisciplinary methods like reinforcement learning and Bayesian optimization. Vegge advocates for open-access research infrastructure and has pioneered lab automation frameworks like Finales.

Raúl OrdóñezView profile

Professor

• Nonlinear Control
• Adaptive Control
• Extremum-Seeking Control
• +4 more

Raúl Ordóñez is a full professor and Director of Graduate Programs in the Department of Electrical and Computer Engineering at the University of Dayton’s School of Engineering. He holds a Ph.D. and M.S. in Electrical Engineering from The Ohio State University (2001 and 1996) and a B.E. from Monterrey Institute of Technology. His research focuses on nonlinear control, adaptive systems, extremum-seeking control, and applications in aerospace, robotics, and power systems. Professional highlights include serving as Associate Editor for Automatica since 2006, co-authoring textbooks on adaptive control and extremum-seeking techniques, and holding editorial roles for IEEE conferences. Awards include the Boeing Welliver Faculty Fellowship (2008) and AFRL Summer Faculty Fellowship (2014). He has conducted research collaborations at institutions like Université de Picardie Jules Verne (France) and TU Wien (Austria). Key research areas include control of hypersonic vehicles, industrial robots, scramjets, and power generators. His work integrates advanced control methodologies with practical systems, emphasizing real-time optimization and robustness. Courses taught span control systems, nonlinear dynamics, and adaptive control. Education: Ph.D./M.S. (Ohio State), B.E. (Monterrey Tech) Professional Activities: IEEE Control Systems Society, CCCS Collaborative Center Recent Awards: AFRL (2014), Boeing (2008) Labs/Teams: Collaborates with robotics and aerospace teams at UD and international institutions