جست‌وجوی استاد و پژوهشگر

Carlos Ponce De Leon Albarranمشاهده پروفایل

استاد

• Electrochemical Engineering
• Energy Storage
• Water Treatment Technology
• +۴ مورد دیگر

Professor Carlos Ponce De Leon Albarran is a Professor of Electrochemical Engineering at the University of Southampton , affiliated with the Faculty of Engineering and Physical Sciences . He leads the Energy Technology Group and coordinates the MSc program in Sustainable Energy Technologies . His work bridges electrochemical energy conversion and water treatment technology , with a focus on innovative reactor design and sustainable energy systems. Industrial experience in quality control, fuel cell testing, and precious metal recovery Principal investigator for EU-funded projects (H2020-RIA CO2EXIDE, Necobaut EU FP7, EPSRC's ELEVATE) Over 180 peer-reviewed publications with h-index 44 (7445 citations) Active in redox flow battery development and 3D-printing of electrochemical systems His research interests center on electrochemical engineering for energy and environmental applications, including: Electrochemical energy storage systems (aluminum-polymer batteries, solid polymer electrolytes) Carbon dioxide reduction technologies (gas diffusion electrodes, catalyst development) Advanced reactor design (3D-printed titanium electrodes, mass transport characterization) Water treatment innovations through electrochemical decontamination Scientific awards include the 2010 Westinghouse Prize from the Institute of Metal Finishing. He has supervised over 30 MSc and 18 PhD students and served as chairman of the Electrochem 2013 conference with 230 delegates. His work emphasizes industrial collaboration and practical applications of electrochemical research.

Bruce Dunnمشاهده پروفایل

استاد

• Materials Science
• Electrochemistry
• Sol-Gel Processing
• +۳ مورد دیگر

Bruce Dunn is a Distinguished Professor of Materials Science and Engineering at the University of California, Los Angeles, holding the Nippon Sheet Glass Company Chair in Materials Science. His research focuses on the synthesis of inorganic and hybrid materials with emphasis on sol-gel methods, and characterization of their electrical and optical properties. Key research areas include sol-gel processing, energy storage materials, and bioinspired composites Develops 3D battery architectures and microscale electrochemical devices His work has produced significant advancements in biomaterial integration, nanoscale microstructures, and electrochemical systems. Recent publications highlight applications in bioenergetics, smart surfaces, and hierarchical electrode design. Awarded: Fulbright Research Fellowship (1986) Allied Signal Faculty Award (1997) DOE Awards for Materials Science (1995, 1998) Multiple international professorships

Idriss Dagalمشاهده پروفایل

استادیار

• Renewable Energy Systems
• Photovoltaic Systems
• Power Electronics
• +۶ مورد دیگر

Idriss Dagal serves as an Assistant Professor at Beykent University's Department of Electrical and Electronics Engineering. With a PhD and Master's in Electrical Engineering from Yildiz Technical University (2015 and 2023 respectively), and additional academic credentials from Ethiopian Airlines Aviation University and Mongo Polytechnics University, his career bridges academic research with industry experience as a Sales Engineer. PhD: Yildiz Technical University (2015) Master's: Yildiz Technical University (2023), Ethiopian Airlines Aviation University (2008) Bachelor's: Mongo Polytechnics University (2006) His research focuses on renewable energy systems , particularly photovoltaic power optimization using metaheuristic algorithms (Hybrid PSO-Salp Swarm, Gray Wolf Optimization). He also explores control systems for solar energy and aircraft dynamics, including PID and fuzzy logic controllers. Additional work spans machine learning applications in energy and medical diagnostics, along with power electronics for battery charging. Recent publications highlight 15 2025 articles on topics like hybrid energy systems , AI-driven MPPT , and aircraft control frameworks . His work appears in journals such as Scientific Reports , IEEE Access , and International Journal of Aeronautical and Space Sciences . Teaching experience includes courses in Electrical Machines and Information Technologies . Non-university roles at Elektra Electronic Company and Aktif Group Company involved sales engineering, complementing his academic profile with industry insights.

• Gas separation membranes
• Membrane contactors
• Separation process design
• +۴ مورد دیگر

Liyuan Deng is a Professor in the Department of Chemical Engineering at the Norwegian University of Science and Technology (NTNU) , specializing in advanced membrane technologies for gas separation and electrochemical processes. Their work bridges fundamental materials science with industrial-scale carbon capture and battery innovation. Academic appointments at NTNU since at least 2019 Coordinated >10 major EU/Norwegian Research Council projects Active in CO2 capture , membrane contactors , and electrodialysis systems Research Focus: Develops cutting-edge membranes for multiple applications: CO2 separation from flue gas, pre-combustion syngas, and direct air capture Hybrid systems combining ionic liquids , nanocellulose , and metal-organic frameworks Next-generation Li-S battery separators for enhanced electrochemical performance Process optimization for subsea natural gas dehydration and metal recovery in electrodialysis Publications Trends: Recent works (2023-2025) emphasize: Microstructure engineering in polymer membranes (e.g., Nafion, Pebax) Nanocomposite integration (graphene oxide, ZIF-67, MOFs) Standardization challenges in CO2 capture membrane testing Electrodialysis applications for precious metal recovery Multi-site interaction membranes for selective separations Computational modeling of gas transport and solvent regeneration Grants & Collaborations: Leads projects funded by: Research Council of Norway (Nano-2021, CLIMIT, BIA programs) EU Horizon2020 ( NanoMEMC2 ) M-ERA.NET ( MOGLiS ) Technology Converge ( 3S Battery )

• Electrical Energy and Power Systems
• Artificial Intelligence
• Electrical Facilities

Dr. Cenk Andiç is a Research Assistant at Istanbul Technical University's Department of Electrical Engineering. His work bridges Electrical Energy and Power Systems with Artificial Intelligence , focusing on optimization techniques for energy management and control systems. PhD in Electrical and Electronics Engineering (Düzce University) Integrated PhD program completion in 2024 Key research areas include: Automatic Voltage Regulation Load Frequency Control Dynamic Economic Load Dispatch Energy Optimization in Transportation Renewable Energy Integration Metaheuristic Optimization Algorithms Recent publications demonstrate a trend toward bio-inspired algorithms like Mountain Gazelle Optimizer , Puma Optimizer , and Sea Horse Optimizer for power system stability and renewable integration challenges. His work spans theoretical control systems to practical implementations in photovoltaic-thermal hybrid systems and data centres. Scientific recognition includes: 2023 Publication Award (Istanbul Technical University) 2024 Best Paper Award 2023 Cenk Andic Prize YÖK 100/2000 Scholarship He actively participates in international collaborations and serves as Principal Investigator for the 2025 project Improving Load Frequency Control in Interconnected Power Systems with Sled Dog Optimization Algorithm . Contact: andic18@itu.edu.tr

Ali Ozanمشاهده پروفایل

پژوهشگر

• Electrical Engineering
• Energy Storage Systems
• Power Distribution Networks
• +۳ مورد دیگر

Ali Ozan is a Research Assistant at the Department of Electrical Engineering, Faculty of Electrical and Electronics Engineering, Istanbul Technical University. His academic journey includes a Ph.D. in Electrical Engineering (2020), a Master's in Electrical Engineering (2017), and a Licence degree in Electrical Engineering (2012), all from Istanbul Technical University. His research focuses on energy storage systems and their impact on power distribution networks , particularly mobile battery storage applications. Key areas of interest include smart grid technologies , renewable energy integration , and electric power distribution engineering . Ali's 2020 publication on mobile battery storage systems highlights his work in optimizing distribution networks and addressing challenges in electricity storage engineering . His expertise aligns with UN Sustainable Development Goals related to affordable and clean energy. Current contact details: Email ozana@itu.edu.tr , Room 7209, Ayazaga Campus, Istanbul Technical University.

Michael Ryan Hansenمشاهده پروفایل

استاد

• Solid-state NMR spectroscopy
• Polymer science
• Energy storage materials
• +۵ مورد دیگر

Prof. Dr. Michael Ryan Hansen is a full Professor of Physical Chemistry at the Westfälische Wilhelms-Universität Münster, Germany, where he has led the Hansen research group since 2015. His group focuses on advanced solid-state NMR spectroscopy applied to polymers, supramolecular structures, functional inorganic materials, and energy storage systems. Prior to his current role, he was an Assistant Professor at Aarhus University’s iNANO and Department of Chemistry (2013–2015), and a research group leader at the Max Planck Institute for Polymer Research in Mainz (2010–2013). Education: PhD in Natural Sciences, Aarhus University, Denmark (2006) Cand. scient. (MSc equivalent) in Chemistry, Aarhus University, Denmark (2003) BSc in Physics and Chemistry, Aarhus University, Denmark (2001) Research Interests: Prof. Hansen’s work centers on the development and application of solid-state NMR techniques to study structure–dynamics relationships in materials. His group investigates fluorinated polymers, graphene nanoribbons, ionic conductors, zeolites, and supramolecular systems. A major focus is on energy-relevant materials, including lithium- and sodium-ion conductors, solid-state electrolytes, and thermally stable polymers for battery applications. Method development is another cornerstone of his research, involving advanced pulse sequences, wideline NMR, and the integration of DFT calculations. Scientific Contributions & Awards: Although specific awards are not listed, Prof. Hansen has authored over 150 peer-reviewed papers since 2015 in top-tier journals such as Journal of the American Chemical Society , Angewandte Chemie , and Advanced Materials . His work on pressure-induced dislocations in lithium argyrodites and the synthesis of curved graphene nanoribbons has been highly cited, reflecting significant impact in materials chemistry and energy storage. Research Group & Collaborations: The Hansen group comprises post-docs, PhD students, and master’s students working on projects funded by the German Research Foundation (DFG) and the Federal Ministry of Education and Research (BMBF). Collaborations extend across Europe and include partners such as Aarhus University, MPI Mainz, and international synchrotron facilities. The group operates state-of-the-art solid-state NMR spectrometers (400–850 MHz) and maintains strong ties with the university’s mechanical, electronics, and chemical workshops for custom instrumentation.

• Smart Energy Systems
• System Optimization
• Multi-Objective Optimization
• +۹ مورد دیگر

Associate Professor Wei-Yu Chiu is an academic at Deakin University, affiliated with the Faculty of Science, Engineering and Built Environment/School of Information Technology. His research spans system optimization, multi-objective optimization, evolutionary computation, machine learning, and control theory, with applications in smart energy systems, control systems (bilinear matrix inequality), and robotics (warehouse automation). His work focuses on smart energy systems (demand response), control systems (bilinear matrix inequality), and robotics (warehouse automation). He actively supervises Masters and PhD students and seeks postdoctoral collaborators through the Deakin Fellowship. Recent publications (2023–2026) emphasize multiagent reinforcement learning for microgrid resilience, energy-efficient textile manufacturing with deep transfer learning, and bilinear matrix inequality optimization for control systems. Topics include blockchain-enabled energy trading, path planning in robotics, and risk-constrained battery utilization. Education: PhD in Mathematics, National Tsing Hua University, Hsinchu, Taiwan Collaborations are centered on multirobot systems, transactive energy, and synthetic data generation for energy networks.

Matthew Dobsonمشاهده پروفایل

دانشیار

• Multiscale modeling
• numerical analysis

Matthew Dobson is an Associate Professor in the Department of Mathematics and Statistics at the University of Massachusetts Amherst, based in Lederle Graduate Research Tower 1430 (710 N Pleasant Street, Amherst, MA). His contact details include email dobson@math.umass.edu and phone (413) 545-7194. His research centers on multiscale modeling and numerical analysis , developing mathematical frameworks for complex systems spanning atomic to continuum scales. Key applications include battery thermal management, fluid dynamics, and stochastic processes, with emphasis on computational efficiency and mathematical rigor. Analysis of his 2014-2025 publications reveals dominant themes in battery safety (thermal runaway prevention, cell failure propagation) and advanced numerical methods (Fokker-Planck solvers, nonequilibrium dynamics). His work bridges applied mathematics with electrical engineering through multiscale simulations and data-driven algorithms. Scientific awards: No awards documented in provided information. Academic mentorship and funding: No information regarding students, grants, or sponsored projects is available in the source material. Research infrastructure: No specific laboratories, teams, or collaborative groups are mentioned.

• Computational Fluid Dynamics
• Chemical Engineering
• Porous Media
• +۷ مورد دیگر

Gianluca Boccardo is an Associate Professor at the Department of Applied Science and Technology (DISAT) at Polytechnic University of Turin, where he conducts research at the intersection of computational fluid dynamics, deep learning, and porous media applications. His work bridges theoretical chemical process development with practical industrial applications in energy systems and sustainable engineering. His research interests span multiple domains of engineering and computational science: Computational Fluid Dynamics for complex engineering systems Deep learning applications in chemical process modeling Multiscale modeling of transport phenomena in porous media Energy processes engineering and sustainable technologies Fluid mechanics applications in industrial contexts Analysis of his recent publications reveals a strong trend toward integrating machine learning techniques with traditional computational methods to solve challenging problems in chemical engineering. His work particularly focuses on applying these hybrid approaches to porous media systems, pharmaceutical processes, and energy storage technologies, demonstrating a commitment to both theoretical advancement and practical industrial application. Professor Boccardo actively supervises numerous PhD students working on cutting-edge research topics and leads significant research initiatives including the MULTIPHASE Erasmus Mundus Joint Master program and the BATCAT Battery Cell Assembly Twin project. His research group receives funding from both competitive EU grants and commercial contracts with industry partners. He is an active member of the Molecular Engineering Lab (MolE) and the Multiscale Modeling research group at DISAT, where his team develops innovative approaches to modeling complex chemical processes and developing sustainable engineering solutions.

Giovanni De Carneمشاهده پروفایل

استاد

• Power Engineering
• Electrical Power Systems
• Smart Grids
• +۳ مورد دیگر

Prof. Giovanni De Carne is a Professor at the Department of Electrical Engineering and Information Technology (ETIT) at the Karlsruhe Institute of Technology (KIT). His research focuses on real-time systems in power engineering, energy storage systems, smart grid technologies, and advanced power electronics. He specializes in developing innovative solutions for grid integration of renewable energy sources, including solid-state transformers, DC microgrids, and hybrid energy storage systems. His work addresses challenges in grid stability, load management, and cybersecurity for modern power systems. De Carne leads research initiatives such as KARA, KITTEN, and EL2.0, which explore digital twins for particle accelerators and sustainable energy management. His contributions include advancements in power hardware-in-the-loop testing, voltage and frequency control strategies, and the application of machine learning in superconductivity. He has published extensively on topics like energy storage optimization, DC fast charging infrastructure for electric vehicles, and fault-tolerant grid operations. Key areas of expertise include: Smart transformer design and grid integration DC/AC converter technologies Real-time system simulation and validation Renewable energy system modeling Grid stability and resilience enhancement His research has been applied to improve grid-edge control, mitigate disturbances in power systems, and optimize energy storage solutions for high-renewable grids. De Carne's work bridges theoretical advancements with practical implementation, contributing to sustainable energy infrastructure and grid modernization efforts.

Youngki Kimمشاهده پروفایل

دانشیار

• Automotive Engineering
• Integrated Design and Manufacturing
• Machine Learning
• +۵ مورد دیگر

Youngki Kim is an Associate Professor in the Department of Mechanical Engineering at the University of Michigan-Dearborn , within the College of Engineering and Computer Science . His research focuses on Automotive Engineering , Integrated Design and Manufacturing , Machine Learning , Optimization , and Intelligent Systems , with specific interests in lithium-ion batteries, vehicle modeling/simulation, energy management of advanced powertrains, and connected/autonomous vehicles. He holds a Ph.D. in Mechanical Engineering from the University of Michigan-Ann Arbor (2014) and advanced degrees from Seoul National University (M.S. 2003, B.S. 2001). Research & Grants Recipient of multiple industry grants (e.g., Hyundai, Ford, NSF) for projects like battery thermal management, predictive control algorithms, and one-pedal driving systems. Developed frameworks for eco-climate control, energy-efficient HVAC systems, and battery state-of-charge/health estimation. Active in cross-disciplinary research combining machine learning with traditional engineering methodologies. Teaching Instructs advanced courses such as Control Systems Analysis , Linear Systems Control , and Predictive Control of Dynamic Systems . Specializes in battery systems modeling, energy management, and mechatronics. Lab affiliations include the DAIR (Distributed Automotive Innovation Research) initiative and collaborates extensively with automotive industry partners. His work emphasizes practical applications of control theory and data-driven methods to improve vehicle efficiency and safety.

Suresh G. Advaniمشاهده پروفایل

استاد

• Clean Energy & Environment
• Composites & Advanced Materials
• Fluid Mechanics
• +۵ مورد دیگر

Suresh G. Advani holds the Unidel Pierre S. du Pont Chair of Engineering at the University of Delaware. He earned his Ph.D. in Mechanical Engineering from the University of Illinois at Urbana-Champaign and a BTech in Mechanical Engineering from IIT Bombay. His research focuses on rheology, fluid mechanics, heat transfer, and composite processing, with applications to clean energy and advanced materials. He has authored over 350 journal papers, developed the Liquid Mold Filling Software (LIMS), and chairs the 2025 International Conference on Composite Materials. His honors include the American Society of Composites' Outstanding Researcher Award (2015) and the Society of Plastic Engineers' Educator of the Year award. Advani's expertise spans fluid mechanics, heat transfer, and materials engineering. His work addresses challenges in composite manufacturing, fuel cells, and hydrogen storage. He leads initiatives in energy-efficient manufacturing and sustainable composites, leveraging computational models and experimental validation. Notable projects include optimizing pyrolysis processes for carbon-carbon composites and enhancing PEM fuel cell membrane durability through novel chemical additives. His contributions to composite processing include advancing resin transfer molding (RTM) simulations, co-cure processes for honeycomb sandwich structures, and additive manufacturing techniques. He collaborates internationally, co-editing journals like Composites Part A and advising on industrial applications. His research bridges theoretical models with practical manufacturing solutions, emphasizing innovation in materials and energy systems.

S. Ismat Shahمشاهده پروفایل

استاد

• Materials Science
• Condensed Matter Physics
• Nanomaterials
• +۴ مورد دیگر

Professor S. Ismat Shah is a full-time academic at the University of Delaware with joint appointments in the Department of Materials Science and Engineering (College of Engineering) and Department of Physics & Astronomy (College of Arts & Sciences). He also serves as Director of the Energy and Environment Policy Program (ENEP) within the Joseph Biden Jr. School of Public Policy and Administration. PhD in Materials Science and Engineering from University of Illinois Urbana-Champaign (1986) Former Senior Scientist at DuPont Corporate R&D (12 years) University of Delaware faculty since 1999 Professor Shah's research spans materials science, nanotechnology, and energy policy , focusing on: Nanomaterials for Energy, Environment, and Water Photocatalysis and Solar Cells (P3HT/PCBM, CdS heterojunctions) Multiferroic and Magnetic Nanomaterials Energy and Environmental Policy Ethics His publication record includes over 250 peer-reviewed articles with an h-index of 52 , emphasizing: Transition metal-doped oxides Graphene engineering via laser irradiation Multiferroic ceramic analysis Photocatalytic water treatment materials Dielectric and magnetic coupling phenomena Optimization of nanostructured solar cells Scientific recognition includes: Excellence in Teaching Award (2007, 2011) Mentor Award , Society of Vacuum Coaters (2012) Fulbright Fellowship (2011) Sheth International Alumni Award (2013) TUBITAK Visiting Scholar (2012) He leads research bridging engineering and policy through: Renewable energy systems (particularly distributed off-grid power) Greenhouse gas mitigation technologies Energy ethics and diversity in science His laboratory work centers on: XPS/UPS surface characterization Patents : 6 in materials for energy applications Advanced thin film deposition techniques Structural analysis of nanostructured ceramics

Rosa A.M. Gevelingمشاهده پروفایل

پژوهشگر

• Redox Flow Batteries
• Ion Exchange Chemistry
• Transport Phenomena
• +۳ مورد دیگر

Rosa A.M. Geveling is a Researcher affiliated with the Mechanical Engineering department at Eindhoven University of Technology, part of the Group Govaert. Her work focuses on advancing energy storage technologies through the study of ion exchange membranes in non-aqueous redox flow batteries. She holds an MSc (ir.) and completed her doctoral research in 2021 under the supervision of Prof. D.C. Nijmeijer, Dr. A. Forner-Cuenca, Dr. R. Jacquemond, and Dr. M. Vis. Her research addresses critical challenges in sustainable energy systems, particularly in optimizing membrane performance for next-generation battery applications. Key research interests include redox flow battery chemistry, ion-exchange mechanisms, transport phenomena analysis, and material characterization techniques. Her 2022 publication in the Journal of the Electrochemical Society explores membrane transport phenomena and ion exchange capacity, contributing foundational insights for non-aqueous electrolyte systems. Geveling collaborates with interdisciplinary teams within TU/e to advance electrochemical energy storage solutions aligned with UN Sustainable Development Goals. While no specific awards are listed, her work demonstrates impactful contributions to renewable energy technologies.