جست‌وجوی استاد و پژوهشگر

• Sustainable Manufacturing
• Digital Twinning
• Industrial Automation
• +۳ مورد دیگر

Dr Fadi Assad is a Lecturer in Smart, Clean and Green Manufacturing at Cranfield University's Sustainable Manufacturing Systems Centre. His research focuses on integrating digital technologies with sustainable manufacturing practices to address energy efficiency and environmental challenges in industrial settings. With expertise spanning digital twinning, industrial automation, and sustainable manufacturing systems, he contributes to both academic research and practical industrial applications. His educational background includes: PhD in Sustainable Intelligent Manufacturing from the University of Warwick (United Kingdom) MSc in Production Engineering BSc in Industrial Engineering (Mechanical Engineering) Dr Assad's research interests center on the intersection of digital transformation and sustainability in manufacturing. He specializes in developing and implementing digital twin technologies for manufacturing systems to enhance energy efficiency and environmental performance. His work explores how Industry 4.0 and emerging Industry 5.0 concepts can drive sustainable manufacturing practices through intelligent systems design, energy flexibility approaches, and lifecycle management strategies. He investigates the application of virtual engineering and commissioning techniques to optimize manufacturing processes while reducing environmental impact. His publication record demonstrates strong focus on digital twin applications for sustainable manufacturing, with recent work examining energy management in cyber-physical systems, virtual engineering for assembly lines, and predictive maintenance approaches. His research shows a clear progression from fundamental energy optimization techniques toward more comprehensive digital solutions that integrate sustainability metrics throughout the manufacturing lifecycle. The work consistently bridges theoretical concepts with practical industrial applications. Dr Assad currently supervises PhD research with two open positions focusing on Sustainability-oriented Digital Lifecycle Management in Manufacturing-as-a-Service and Utilisation of Generative Artificial Intelligence to Advance Manufacturing Sustainability. His research activities are closely aligned with industrial applications through collaborations with manufacturing companies seeking to implement sustainable digital transformation. As part of the Sustainable Manufacturing Systems Centre at Cranfield University, Dr Assad contributes to a multidisciplinary team focused on developing innovative solutions for sustainable industrial practices. His work integrates with broader research initiatives examining the relationship between digital technologies and environmental sustainability in manufacturing contexts.

• Social Sciences
• Political Science
• Media and Communications
• +۵ مورد دیگر

Diogo Soares Pereira Gil Morais is an Assistant Professor at the Universidade Lusófona de Humanidades e Tecnologias, School of Psychology and Life Sciences, and a researcher at its Centre for Applied Communication Research, Culture and New Technologies. He holds a Mestrado in Organizational Communication (2009) and Licenciatura in Psychology (2004) from the same university, and is currently pursuing a PhD in Communication Sciences. Research Focus: Virtual Reality (VR) applications for cognitive assessment and rehabilitation, with emphasis on stroke patients, substance use disorders, and stress-related conditions. Key areas include eye tracking, memory training, and digital health interventions. Publications: 58+ peer-reviewed articles and book chapters, with a focus on VR methodologies, cognitive neuroscience, and behavioral analysis. Notable works include VR-based cognitive training programs and studies on internet addiction in adolescents. Projects: Participated in 3 research projects, including VR therapy for PTSD in war veterans and mHealth interventions for addiction recovery. Education: Completed courses in gamification, virtual instruction, and neurosciences, complementing his interdisciplinary approach.

Minh-Quan Tranمشاهده پروفایل

پژوهشگر

• Distribution System Engineering
• Distributed Energy Resource Engineering
• State Estimation
• +۵ مورد دیگر

Minh-Quan Tran is a University Researcher at Eindhoven University of Technology (TU/e) within the Department of Electrical Energy Systems, Faculty of Electrical Engineering. His work focuses on modern power distribution systems, renewable energy integration, and grid stability solutions, contributing to UN Sustainable Development Goals in sustainable energy. He maintains an ORCID profile (0000-0001-6430-7333) and has accumulated 99 Scopus citations for his 20 research outputs, with publication activity increasing from 2 works in 2019 to 7 in 2023. His key research interests include: Distribution System Engineering (100% fingerprint strength) Distributed Energy Resource Engineering (71%) State Estimation (64%) Voltage Stability (51%) Microgrid Control (40%) System State Monitoring (47%) Recent publications (2022-2024) reveal strong trends in AI-driven grid management, particularly Model Predictive Control and Graph Neural Networks for voltage stability and state estimation. Real-world case studies feature campus networks (e.g., Chalmers University), emphasizing practical validation of control strategies for low-voltage systems with high renewable penetration. Scientific Awards: No awards or honors are documented in the provided materials Advising and Grants: Tran lists no formal PhD/Master's students in the repository. His research involves IoT platforms, digital twins, and real-life demonstrations for flexibility optimization but lacks explicit grant details or funding acknowledgments in the extracted text. Labs and Teams: He operates within TU/e's Electrical Energy Systems research group, specializing in active distribution network monitoring, microgrid stability, and distributed resource control. Collaborations span international institutions as visualized in the repository's network map, with recent joint work involving Vietnamese and European universities.

• Renewable Energy
• Electrical Networks
• Energy Storage
• +۳ مورد دیگر

Jean-François Affolter is a Researcher at the Haute école d'Ingénierie et de Gestion du Canton de Vaud (HEIG-VD), part of the HES-SO University of Applied Sciences and Arts. He specializes in renewable energy systems, electrical networks, and energy storage technologies. His work focuses on integrating renewable energy sources into smart grids, developing DC microgrids, and advancing hydrogen-based solutions for sustainable energy. Education: BSc HES-SO in Electrical Engineering from HEIG-VD. Research Interests: Renewable Energy Integration (solar, wind, hydro). DC Microgrid Design and Optimization. Hydrogen Storage and Fuel Cell Applications. Power Electronics for Energy Conversion. Key Projects: Hydrogen-based backup systems (2017–2020). Semi-autonomous DC microgrids for industrial sites (2017–2019). Solar-hydrogen hybrid boat prototypes (PlanetSolar, Hydroxy series). Electric marine propulsion studies (2014–2016). Publications highlight innovations in transformer design for resonant converters, solar-PV grid integration, and optimal routing algorithms for solar-powered vessels. Collaborations include industry partners like ABB, MW-Line, and academic institutions across Switzerland and Europe.

• Electrochemistry
• Battery Technology
• Lithium-ion Batteries
• +۴ مورد دیگر

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 Pongaمشاهده پروفایل

دانشیار

• Mechanics of Materials
• Computational Modeling
• Multiscale Modeling
• +۴ مورد دیگر

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)

• Electric Power Distribution Networks
• Distributed Energy Resources (DER) Integration
• Smart Grids
• +۳ مورد دیگر

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. Margulisمشاهده پروفایل

استاد

• Physical Chemistry
• Computational Chemistry
• Theoretical Chemistry
• +۴ مورد دیگر

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 Åslundمشاهده پروفایل

مدرس ارشد

• Control Systems
• Vehicular Systems
• Automotive Engineering
• +۶ مورد دیگر

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 Wagemakerمشاهده پروفایل

استاد

• Electrochemical Energy Storage
• Battery Materials
• Solid-State Batteries
• +۹ مورد دیگر

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 Chenمشاهده پروفایل

استادیار

• Computational Mechanics
• Fracture Mechanics
• Phase-Field Modeling
• +۱۲ مورد دیگر

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 Panzerمشاهده پروفایل

استاد

• Ionic Liquids
• Ionogels
• Polymers
• +۴ مورد دیگر

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.

Torsten E.M. Staabمشاهده پروفایل

پژوهشگر

• Materials Science
• Condensed Matter Physics
• Positron Annihilation Spectroscopy
• +۳ مورد دیگر

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.

• Machine Learning
• Uncertainty Quantification
• Stochastic Optimization
• +۳ مورد دیگر

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.

• Energy system modelling
• Policy advisory
• Power sector development
• +۷ مورد دیگر

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.