Christine Lefrou is a Lecturer at LEPMI (Grenoble INP), specializing in electrochemistry and battery technology. Her research focuses on optimizing battery performance, particularly through ohmic drop compensation techniques, and developing advanced battery management systems (BMS). She has contributed to studies on lithium-ion batteries, fast-charging protocols, and second-life battery applications. Her work also extends to material science, including the use of scanning electrochemical microscopy (SECM) for analyzing surface reactivity and permeable films. Her research interests span electrochemical fundamentals, battery aging, and energy storage systems for electric vehicles and renewable energy integration. Key achievements include improving battery efficiency in drones and electric vehicles, as well as advancing methodologies for precise electrochemical measurements and modeling. Publications highlight contributions to battery safety, electrochromic materials, and the reliability of power systems using valve-regulated lead-acid batteries. Her interdisciplinary approach combines theoretical modeling with experimental validation, emphasizing practical applications in sustainable energy and materials science.
Mauricio Ponga is an Associate Professor at the Department of Mechanical Engineering, University of British Columbia (UBC), Faculty of Applied Science. His research focuses on computational mechanics, multiscale modeling, and material failure analysis. He holds a Ph.D. and M.Sc. from the University of Seville, a B.S. from the University of La Plata, and completed postdoctoral work at Caltech. Education: B.S. (University of La Plata), M.Sc. (University of Seville), Ph.D. (University of Seville), Postdoctoral Fellowship (Caltech) Research Interests Mechanics of materials under extreme conditions Multiscale modeling (atomic to continuum) Thermal and electronic transport in materials Material failure mechanisms (spallation, twinning) Industrial applications (batteries, superconductors) Recent Publications highlight his work on high-entropy alloys, polymer brushes, 2D materials, and novel simulation methods like local two-temperature molecular dynamics (l2T-MD) and accelerated mesodynamics (aMD). Projects include collaborations with TRIUMF, NSERC, and FP Innovations. Labs & Collaborations Principal Investigator of the Modeling and Simulation Research Group at UBC Collaborations with S2SES (Coanda-effect screens), DND (gradient nano-grained alloys), and Caltech (postdoctoral work)
Carlos Mateo Domingo is a Research Fellow at the Technological Research Institute (IIT) under the Comillas Pontifical University . He coordinates the Master's Degree in Smart Grids and leads the Sustainable Smart Grids area at IIT. With a PhD in Industrial and Computer Engineering (2007), he specializes in distribution network modeling and distributed energy resources integration. Key collaborations: MIT, NREL, World Bank, European Commission Accreditations: Three six-year research periods (2003-2020) with ANECA/ACAP certifications Research Focus: Electricity distribution network planning and optimization Distributed generation integration (PV, storage, EVs) Smart grid technologies and digitalization Energy system modeling for developing countries Meta-heuristic algorithms application in grid problems Publication Trends (2016-2025): Over 69 projects and 49 journal papers focusing on grid flexibility, synthetic network modeling, and renewable integration. Key journals include IEEE Access , Applied Energy , and IEEE Transactions on Smart Grid . Scientific Awards: 2024 - Directed award-winning Final Year Project on electric vehicle grid integration Multiple European Commission Horizon 2020 grants (ATTEST, ECEMF) Notable Projects: SMART-DS with NREL/MIT for U.S. Department of Energy, DSO Observatory for European Commission, and rural electrification initiatives with World Bank.
Claudio J. Margulis is a Professor in the Department of Chemistry at the University of Iowa, where he leads the Margulis Group. His research specializes in theoretical and computational studies of ionic liquids and molten salts, with applications in clean energy technologies like nuclear reactors, solar energy capture, batteries, and gas sequestration. He holds a Licenciado en Ciencias Químicas from Universidad de Buenos Aires, a PhD from Boston University, and completed postdoctoral training at Columbia University. His research explores: Structural dynamics and reactivity of ionic systems Nanoscale heterogeneity in condensed phases Charge transport mechanisms in energy materials Computational modeling of molten salts for nuclear applications Publications (2011–2025) predominantly investigate electron behavior, viscosity mechanisms, and structural heterogeneity in ionic systems using advanced computational frameworks. Trends show consistent focus on linking molecular dynamics to macroscale properties for energy applications. Awards & Honors: Spiers Memorial Lecture (2024) Kavli Fellow (2003) NSF CAREER Award (2006) Sugata Ray Award (1998) He advises graduate students and postdoctoral researchers, with current projects on excess electrons in ionic liquids funded by federal grants. His lab collaborates with Oak Ridge and Brookhaven National Laboratories on neutron scattering and advanced simulation techniques.
Jan Åslund is a Senior Associate Professor in the Department of Electrical Engineering at Linköping University, affiliated with the Vehicular Systems (FS) research group within the Faculty of Science and Engineering. His work focuses on modeling, control, and optimization of automotive systems, particularly in the context of hybrid and electric vehicles. His research interests lie at the intersection of control theory and vehicular dynamics. Key areas include vehicle energy management , tire modeling , friction dynamics , and battery aging in hybrid systems . He applies advanced control strategies to improve efficiency and performance in modern transportation systems. The recent publications highlight a consistent trend in dynamic modeling of vehicle subsystems and optimal control for energy efficiency . His work bridges theoretical control systems with practical automotive applications, particularly in transient dynamics and energy optimization under real-world constraints. While no scientific awards are listed in the provided text, his publications in high-impact journals such as IEEE Transactions and Vehicle System Dynamics reflect strong scholarly contributions. Jan Åslund is actively involved in research within the Vehicular Systems group. He has not been noted as advising any students in the provided material, and no information on grants or specific labs is available. The research is conducted within the Vehicular Systems (FS) group at the Department of Electrical Engineering, Linköping University, which focuses on modeling, simulation, and control of advanced vehicle systems.
Marnix Wagemaker is a Professor and Head of the Storage of Electrochemical Energy (SEE) section within the Department of Radiation Science & Technology at the Faculty of Applied Sciences, Delft University of Technology (TU Delft), Netherlands. His research focuses on advancing next-generation battery technologies through a combination of experimental and computational approaches. His research interests center on electrochemical energy storage , particularly in solid-state batteries , lithium-ion , lithium-air , and aqueous sodium/zinc batteries . He specializes in understanding the fundamental mechanisms of ionic transport, interfacial dynamics, and structural transformations in battery materials. His group employs advanced operando characterization techniques such as neutron depth profiling, micro-beam synchrotron diffraction, and solid-state NMR, combined with ab-initio simulations (DFT, phase-field modeling) to reveal processes at atomic to mesoscopic scales. The recent research articles highlight a strong trend in solid electrolyte design , interfacial engineering , and operando investigation of ion dynamics in both lithium and post-lithium systems. His work spans fundamental material discovery to performance optimization for high-energy, safe, and sustainable batteries. Wagemaker leads major research projects funded by NWO VICI , Materials for Sustainability , and collaborations with industry via the top sector and TTW. He has developed innovative experimental methodologies and holds patents in battery materials and electrolyte systems. He advises a research group involved in both fundamental and applied battery research, contributing significantly to the advancement of all-solid-state batteries and next-generation energy storage solutions . His work is conducted in close collaboration with national and international academic and industrial partners.
Lei Chen is an Assistant Professor in the Department of Mechanical Engineering at Mississippi State University, College of Engineering. His research focuses on advanced computational modeling techniques applied to materials and mechanical systems. Education: Ph.D., Mechanical Engineering, National University of Singapore (NUS), Singapore, 2012 M.E., Materials Processing, Huazhong University of Science & Technology (HUST), China, 2007 B.E., Materials Processing, Huazhong University of Science & Technology (HUST), China, 2005 His research interests lie at the intersection of computational mechanics and materials science, particularly in fracture modeling, multi-scale simulations, and phase-field methods. He develops and applies advanced numerical techniques to model phenomena such as dendrite growth in batteries, microstructure evolution in alloys, and mechanical behavior of biological and composite materials. His work integrates finite element methods, smoothed finite element methods (S-FEM), and phase-field models with crystal plasticity and multi-physics coupling. The recent publications highlight a strong trend in computational modeling of energy materials and structural integrity. Key themes include phase-field simulations of lithium dendrite formation, multi-scale modeling of polycrystal grain growth, and advanced fracture mechanics using edge-based strain smoothing techniques. These works span disciplines from battery technology to biomaterials, demonstrating a versatile and impactful research program. Scientific Awards and Honors: Travel Fellowship, Enabling Methods for Materials Innovation, University of Florida, 2015 Travel Grant, USNCCM13, 2015 Z. Hsu Scientific Paper Award, 2015 Vice-Chancellor's Research Fellowship, QUT, AUS Chinese Excellent Self-financed Student Abroad Scholarship, 2012 President Graduate Fellowship (top 5%), NUS, 2009–2011 Research Graduate Scholarship, NUS, 2007–2011 Outstanding Graduate Student Award, HUST, 2006 Excellent Bachelor Graduate Award, HUST, 2005 First-Class Scholarship, HUST, 2002–2004 Dr. Chen has advised research students and collaborated extensively with leading researchers such as Long-Qing Chen. His work is supported by academic grants and institutional fellowships. He has contributed to significant advancements in computational methods for fracture and microstructure modeling. He has also published in high-impact journals and presented at major international conferences. He is actively involved in research related to energy storage systems, additive manufacturing, and biological materials, often leveraging high-performance computing and image-driven simulations. His lab focuses on developing robust and accurate numerical frameworks for predicting material behavior across scales.
Matthew Panzer is a Professor of Chemical and Biological Engineering and currently serves as the Dean of Research for the School of Engineering at Tufts University. He earned his Ph.D. in Chemical Engineering from the University of Minnesota and completed a postdoctoral fellowship at MIT. His research focuses on developing solution-processed materials, particularly ionic liquid-based gel electrolytes, for advanced electrochemical energy storage systems. Panzer leads the Green Energy and Novel Electrolytes Lab , which aims to create sustainable and safe energy solutions. Education : Ph.D., Chemical Engineering, University of Minnesota, 2007 B.Ch.E., Chemical Engineering (Honors, Distinction), University of Delaware, 2002 Research Interests : Ionic liquids, ionogels, eutectogels, polymers, ion transport, electrochemical energy storage, sustainable materials. Articles Overview : Recent work spans zwitterionic materials for batteries, hybrid coatings for lithium metal batteries, and novel electrolyte designs. His studies emphasize improving energy storage safety and efficiency through material innovation. Awards : Exemplary Engineer Award (2022) Allan P. Colburn Memorial Lectureship (2021) Multiple teaching awards including Favorite Professor (2020–2022) Grants & Funding : Active grants include NSF-funded projects on zwitterionic nanochannels and electrolyte engineering. Collaborations span industry (e.g., Ionic Materials Inc.) and government agencies (e.g., U.S. Army). Labs & Teams : The Panzer Lab explores interdisciplinary approaches to energy storage, with a focus on biomaterials and sustainable technologies.
Dr. habil. Torsten E.M. Staab is a Researcher at the Chair of Chemical Technology of Materials Synthesis, Faculty of Chemistry and Pharmacy, University of Würzburg. He holds the title of Privatdozent at the Rheinische Friedrich-Wilhelms University of Bonn since 2006 and has led the Sintered Materials Team at the Fraunhofer ISC Würzburg (2008–2011). His research focuses on defects in metals and semiconductors, positron annihilation spectroscopy, and sintering processes in materials. Staab has conducted extensive studies on precipitation mechanisms in aluminum alloys, vacancy interactions, and microstructure-property correlations. Education includes a Diplom in Physics from Stockholm University (1992) and a PhD in Materials Science from Martin-Luther-Universität Halle-Wittenberg (1997), followed by habilitation at the University of Bonn (2006). He has secured prominent grants, including the Marie Curie Fellowship (2000–2001) and DFG-funded projects (e.g., 2007–2009, 2016–2019). Recent work explores digital twin frameworks for spectroscopy and solid-state battery materials through the StoryEV project (2018–2021). His research contributions span alloy physics, defect analysis, and advanced spectroscopic techniques. Staab collaborates with institutions like TU Dresden and the Fraunhofer ISC, advancing technologies in materials synthesis and characterization.
Ryan King is a senior researcher at the National Renewable Energy Laboratory (NREL), focusing on optimization, machine learning, and uncertainty quantification applied to energy systems and turbulent flows. He leads projects involving physics-informed deep learning for wind energy systems, wind farm modeling, and multi-fidelity uncertainty quantification. His educational background includes a PhD in Mechanical Engineering from the University of Colorado and a Bachelor's from MIT. He has worked on over 750 MW of wind energy projects prior to his research role. Key research interests include turbulent flows, deep learning applications in energy, stochastic optimization, and adjoint methods. He has received the NREL Outstanding Mentor Award in 2018 and 2019. His work bridges computational science with energy innovation, addressing challenges in wind farm design, climate change impacts, and renewable energy systems through advanced AI and data-driven methodologies.
Pietro Lubello is a Research Fellow in Energy System Modelling at the Bartlett School of Environment, Energy & Resources, University College London (UCL). He holds a PhD in Energy Engineering from Università degli Studi di Firenze, Italy, where his research focused on demand-side flexibility in the residential sector. Prior to joining UCL, he served as a teaching assistant in Florence, worked as a visiting researcher at Université de Liège in Belgium, and provided part-time consulting services in the energy sector. Dr. Lubello's educational background includes: PhD in Energy Engineering, Università degli Studi di Firenze, Italy (2019-2024) Visiting PhD Researcher, Université de Liège, Belgium (2021-2022) Postgraduate Teaching Assistant, Università degli Studi di Firenze (2019-2022) Postgraduate Research Assistant, Università degli Studi di Firenze (2019) Dr. Lubello's research focuses on energy system modeling for policy advisory, with particular emphasis on both the Global South context and Europe. Since joining UCL, he has been actively involved in developing national integrated energy models and strategies for Kenya. His specific areas of interest include power sector development, clean cooking solutions, transport sector transformation, and future hydrogen applications. Prior to his work at UCL, his research primarily centered on the European residential sector, investigating demand flexibility and energy communities. His work combines technical energy modeling with socio-economic considerations to inform practical policy solutions for sustainable energy transitions. Dr. Lubello's publication record demonstrates a strong focus on energy modeling applications, particularly in Kenya and other developing contexts. His recent work shows increasing emphasis on geospatial energy modeling, hydrogen applications, and integrated sectoral approaches to energy planning. He has developed expertise in both residential energy systems and large-scale national energy planning, with a consistent thread of applying modeling to inform real-world policy decisions. Dr. Lubello actively contributes to teaching at UCL, supporting the 'Introduction to Modelling Methods and Scenarios' module. Previously, he assisted teaching activities for graduate courses at Università degli Studi di Firenze, including 'Industrial energy management' and 'Advanced energy systems,' where he delivered lectures on energy storage technologies and LNG supply chain.
Dr. Oier Lakuntza Irigoien is a Senior Researcher at CIC energiGUNE, specializing in computational modeling of electrochemical energy storage materials. He is affiliated with the Modelling and Computational Simulation research group and focuses on predicting atomic/electronic structures of novel battery materials using density functional theory (DFT) and data-mining tools. Education: PhD in Theoretical and Computational Chemistry (cum laude), University of Basque Country (2012) BSc in Chemistry, University of Basque Country (2007) Research Interests: Dr. Lakuntza’s work centers on Li-ion and Na-ion battery materials , particularly layered oxides and olivines. His methods include supercell modeling, pymatgen automation, and Python/Fortran code development for analyzing ion substitution effects. Key contributions involve stability analysis of cathodes and polymer electrolytes. Scientific Awards: Spanish Ministry Juan de la Cierva grant (2017) Cum laude PhD distinction (2012) Labs & Collaborations: Previously worked with Feliu Maseras at ICIQ (2014-2017). Currently collaborates with interdisciplinary teams at CIC energiGUNE, including experimentalists like Teófilo Rojo and computational experts like Javier Carrasco. His work bridges theoretical predictions with practical battery material development.
Prof. Dr.-Ing. Marco Pruckner leads the Chair of Communication Networks at the University of Würzburg since 2022, following his assistant professorship in Energy Informatics at Friedrich-Alexander-University Erlangen-Nürnberg (2016–2022). His research focuses on energy system analysis, vehicle grid integration, and future mobility systems using modeling and simulation methodologies. University of Würzburg (2022–present) Friedrich-Alexander-University Erlangen-Nürnberg (2016–2022) UC Berkeley (Visiting Scholar, 2020) Key research areas: Modeling and simulation of integrated energy systems Digital twin development for local energy systems Optimization of electric vehicle charging strategies Water-energy nexus analysis and sustainability metrics Recent publications (2022–2025) demonstrate expertise in: Smart charging algorithms for vehicle grid integration Heat pump electrification and seasonal performance modeling Battery state-of-health estimation techniques Multi-objective optimization for data centers and energy systems His team at University of Würzburg includes Daniel Bayer, Paul Benz, Jonas Schiller, and Leo Strobel. Methodologies combine system dynamics, discrete-event simulation, and machine learning for energy and mobility system analysis.
Dr. Carina da Silva is an academic researcher and educator at the Institute of Computer Science, University of Münster, within the Department of Mathematics and Computer Science. She holds the position of Akademische Rätin, a tenured academic role combining research and teaching responsibilities, equivalent to Assistant Professor. Her work focuses on formal methods and probabilistic verification in hybrid systems. Institution: University of Münster School: Department of Mathematics and Computer Science Department: Department of Computer Science Email: carina.dasilva@uni-muenster.de Office: Room 215, Einsteinstraße 62, 48149 Münster, Germany Dr. da Silva's research centers on the development and application of statistical model checking and Monte Carlo simulation techniques for analyzing stochastic hybrid systems, particularly hybrid Petri nets and stochastic hybrid automata. Her work enables rigorous dependability evaluation of complex systems such as battery-powered and critical infrastructures. She actively supervises bachelor’s and master’s theses and teaches courses including Simulation and Statistical Model Checking, as well as an advanced seminar on scientific work for computer science students. Her research is frequently published in top-tier venues like ACM Transactions on Modeling and Computer Simulation, NASA Formal Methods, and QEST. The most recent publications demonstrate a consistent trajectory in optimizing reachability analysis, rare event simulation, and model transformation, with a strong emphasis on formal correctness and computational efficiency. She is also involved in collaborative benchmarking efforts such as the ARCH competition, contributing to the evaluation and advancement of stochastic verification tools. Ursula von Euch Grant (2024) Recognized in Ausgezeichnete Informatikdissertationen 2021 Dr. da Silva is actively involved in academic governance, serving as a deputy member of the Department Council for Mathematics and Computer Science, representing academic staff. She returned from parental leave in March 2024 and continues to supervise theses and offer seminars. While specific advisee names are not listed, she regularly invites students to work on topics such as simulation frameworks, uncertainty quantification, convergence analysis, and integration of empirical data in model checking. She is not part of a named lab but collaborates closely with researchers like Prof. Anne Remke and contributes to the broader formal methods and embedded systems research groups at Münster.
Susan Farus-Brown is a Professor at Ohio University's College of Engineering, Department of Mechanical Engineering, with over two decades of research in fluid dynamics, renewable energy systems, and aerospace thermal management. Since 2015, she has published extensively on wind turbine optimization, microchannel cooling, and combustion instability mitigation. Education: PhD in Mechanical Engineering, Stanford University MS in Aerospace Engineering, MIT BS in Mechanical Engineering, Ohio University Research Focus Her work bridges computational fluid dynamics (CFD) with experimental validation, targeting efficiency improvements in wind energy systems and advanced thermal solutions for aerospace applications. Recent projects involve nanofluid-enhanced heat transfer and hybrid solar-wind energy integration. Scientific Awards ASME Fellow (2022) National Renewable Energy Fellowship (2018) Students & Collaborations: Advising 3 PhD candidates, she collaborates with institutions like NASA and NREL. Current research includes cooling systems for hypersonic vehicles and turbulence modeling in microfluidic devices.
