جست‌وجوی استاد و پژوهشگر

• Polymer Chemistry
• Energy Storage
• Organic Electronics
• +۴ مورد دیگر

Kenichi Oyaizu is a Professor in the Department of Applied Chemistry at the Faculty of Science and Engineering, Waseda University, Tokyo. His research spans polymer chemistry, energy storage, and materials science, with a focus on functional polymers for batteries, hydrogen storage, and high refractive index applications. He maintains active collaborations across academia and industry. Professor Oyaizu's research centers on designing polymers with tailored redox properties for energy storage systems, including organic radical batteries and hydrogen carriers. He pioneers high refractive index materials through molecular engineering of hydrogen-bonded networks and sulfur-rich frameworks. His group integrates machine learning with experimental synthesis, utilizing lossless data platforms for materials discovery and optimization in electrochemistry and optical applications. Analysis of his 15 most recent publications (2020-2025) reveals three dominant research trajectories: (1) High-refractive-index polymers leveraging hydrogen bonding and sulfur incorporation for optical devices, (2) Energy storage systems using redox-active polymers for batteries and hydrogen carriers, and (3) Materials informatics approaches applying generative models and quantum-inspired algorithms to accelerate polymer design. These streams demonstrate consistent innovation in structure-property relationships for functional materials. No scientific awards or major honors are documented in the provided materials. Professor Oyaizu leads an active research group mentoring graduate students and postdoctoral researchers in polymer synthesis and characterization. His work receives funding from Japanese national agencies supporting sustainable energy materials and advanced polymer research, though specific grant details are not disclosed in the source text. Current projects emphasize machine learning-driven development of solid-state electrolytes and hydrogen storage polymers. His laboratory operates within Waseda University's advanced materials infrastructure, utilizing specialized facilities for polymer synthesis, electrochemical testing, and optical characterization. The team collaborates with international researchers on battery technologies and participates in university-industry consortia focused on sustainable materials development, with recent projects highlighted in Waseda University News and EurekAlert!.

Zichong Lyuمشاهده پروفایل

پژوهشگر

• Operations Research
• Business Analytics
• Data Science
• +۶ مورد دیگر

Dr Zichong Lyu is a researcher at the Hertfordshire Business School, specializing in optimization and decision-making in complex systems. His work integrates operations research, business analytics, and data science to address challenges in healthcare workforce planning, patient pathway optimization, and logistics operations. Education PhD in Mechanical Engineering (University of Canterbury, Christchurch) Research Interests : Focused on enhancing system resilience through stochastic modeling, hub-and-spoke architectures, and discrete-event simulation. Key applications include sustainable freight networks, last-mile delivery optimization, and climate change adaptation in logistics. Article Trends : Recent publications emphasize sustainable transportation systems, with a focus on electric vehicle adoption, stochastic optimization of urban freight networks, and resilience planning for climate-related disruptions. Methodologies include simulation-based modeling, cluster analysis, and multi-objective optimization frameworks. Research Groups : Active member of the Business and Digital Research Group and Sustainability Research Group at the University of Hertfordshire.

Jeongsub Choiمشاهده پروفایل

استادیار

• Machine Learning
• Data Mining
• Data Analytics
• +۶ مورد دیگر

Jeongsub Choi is an Assistant Professor in the Department of Management Information Systems at West Virginia University's John Chambers College of Business and Economics. His work bridges machine learning, data mining, and business intelligence with applications in strategic management, patent analysis, and advanced manufacturing. Ph.D. in Industrial and Systems Engineering, Rutgers University M.S. in Statistics, Rutgers University M.S. in Industrial and Systems Engineering, Rutgers University Choi's research focuses on sparse learning models, network analysis, and virtual metrology systems for semiconductor manufacturing. His work spans predictive maintenance, competitor detection, and anomaly identification in dynamic networks. Recent publications highlight trends in sensor optimization, fault diagnosis, and technology lifecycle modeling. Applications span semiconductor manufacturing, financial transaction networks, and patent citation analysis.

• Power Electronics
• Embedded Systems
• Electrical Engineering
• +۶ مورد دیگر

Kent Bertilsson is a Professor and Director of Studies at the Department of Computer and Electrical Engineering (DET) at Mid Sweden University . He serves as a Deputy Prefect and specializes in Power Electronics , with a focus on Embedded Systems , Power Converters , and Fiber Installation Equipment . His research includes projects like DeHigh (electrification of work vehicles) and STORE (electrical energy storage). His work spans High-Frequency Converters , Planar Magnetics , and Multilevel Inverters , with applications in Electric Vehicles and Renewable Energy Systems . He has extensively published in journals like IEEE Transactions on Power Electronics and Energies , emphasizing component optimization and energy efficiency. Notable projects include 48 V Drive Systems and Smart Industry Sweden .

Amir Babakiمشاهده پروفایل

استادیار

• Power Electronics
• Front end converter design
• Wireless Power Transfer
• +۷ مورد دیگر

Amir Babaki is an Assistant Professor at the Institute of Mechanical and Electrical Engineering, University of Southern Denmark. His research focuses on power electronics, wireless power transfer, and high-efficiency converter design for electric vehicle applications. University: University of Southern Denmark School: Institute of Mechanical and Electrical Engineering Rank: Assistant Professor Email: amirbabaki@sdu.dk Research Interests Babaki's work centers on power electronics, specifically front-end converters, wireless power transfer (WPT), and high-frequency resonant converters. His research explores efficiency optimization in dynamic WPT systems for electric vehicles (EVs), including control strategies for power factor correction and voltage regulation. He also investigates integrated magnetic structures for misalignment tolerance and develops predictive control methods without communication or model dependencies. Research Projects He contributes to projects like HiCoMMID (2021-2024) on motor integrated drives and HPC (2024-2027) for ultra-high efficiency DC-DC converters in high-power charging. These projects intersect with automotive engineering, energy efficiency, and converter design optimization. Teaching Babaki supervises Master's theses and teaches courses in power electronics and electrical engineering, including PE2 and ELTR3 modules related to converter technologies and wireless power systems.

Sangyoung Parkمشاهده پروفایل

استادیار

• Smart Mobility Systems
• Electric Vehicle Battery Management
• Energy Consumption Optimization
• +۳ مورد دیگر

Sangyoung Park is an Assistant Professor of Smart Mobility Systems at the Faculty of Mechanical Engineering and Transport Systems, Technical University of Berlin, and is co-affiliated with the Einstein Center for Digital Future. His research focuses on two main areas: enhancing vehicle safety through digitalization and connectivity, and advancing the electrification of the transport sector with emphasis on electric vehicle battery systems design and management. He leads the Chair of Smart Mobility Systems at TU Berlin, where his team investigates how vehicle connectivity can improve energy efficiency, traffic flow, and safety in autonomous vehicle systems. Dr. Park completed his PhD in Electrical Engineering and Computer Science at Seoul National University in Korea, where he focused on energy management techniques for hybrid energy storage systems in electric vehicles. Before joining TU Berlin in 2018, he conducted postdoctoral research at the Technical University of Munich, working on energy management for smartphones in collaboration with Google and studying battery aging processes. His research interests span smart mobility systems, electric vehicle battery management, energy consumption optimization, vehicle connectivity, and autonomous driving systems. Park's work bridges the gap between design engineers and software engineers, investigating how different energy storage components (fuel cells, supercapacitors, lithium-ion batteries) should be interconnected and managed together for maximum efficiency. His research also addresses the design of charging infrastructure for electric vehicles. Analysis of Dr. Park's recent publications reveals a strong focus on digital twin technology for teleoperated driving, battery management systems for electric vehicles, and vehicle connectivity for improved safety and efficiency. His research increasingly integrates cybersecurity aspects of connected vehicles and explores novel approaches to extend battery lifespan through advanced cell balancing techniques. The interdisciplinary nature of his work connects electrical engineering, computer science, transportation systems, and urban infrastructure planning. Dr. Park supervises multiple doctoral students, including Philipp Kremer, Ongun Türkçüoglu, Kil Young Lee, Maria Claudia Miguel de Priego, Muzaffer Citir, Andrea Reindl, Subhendu Bhadra, and Hueseyin Türkyilmaz. His research is supported by various funding sources including the ECDF grant, DAAD projects (ide3a), and government scholarships. He collaborates with institutions including OTH Regensburg and Siemens Mobility. His laboratory, the Smart Mobility Systems group, focuses on developing system-level approaches for measuring, analyzing, and balancing energy consumption in battery-powered mobile systems. The team investigates how direct communication among autonomous vehicles can enable control scenarios that improve energy efficiency, traffic flow, and safety beyond what human drivers or isolated autonomous vehicles can achieve.

• Energy systems transitions
• Urban energy systems
• Rural electrification
• +۷ مورد دیگر

Erik Ahlgren is Professor of Energy Technology at Chalmers University of Technology, Sweden. His research centres on energy-system transitions across scales, integrating techno-economic and systems-dynamics modelling to address urban and rural energy challenges in both Nordic and East African contexts. Research focus Energy-system transitions connecting technology, economy and environment Urban energy systems and sector coupling Rural electrification and mini-grid planning in East Africa District heating and cooling futures Clean cooking with biogas He leads or co-leads 25 projects funded by the Swedish Energy Agency, Swedish Research Council (VR), SIDA, the EU and other bodies, and collaborates closely with Addis Ababa University, University of Rwanda and Eduardo Mondlane University. Teaching & outreach Responsible for the public digital evening course Climate – the science, measures and policy . Grants & projects Buildings in the integrated energy system (2024–2028, Swedish Energy Agency) A multiperspective analysis of cost-efficient batteries in rural mini-grids (2023–2026, VR) PhD Programme in Electrical Power and Control Engineering with Addis Ababa University (2018–2025, SIDA) BREEMRES – research training partnership programme (2018–2025, SIDA) Flexibility for Smart Urban Energy Systems (FlexSUS, 2019–2024) Collaborations & networks Active in international consortia including the Strategic Research Centre for 4th Generation District Heating (4DH), FutureGas, and numerous East African capacity-building initiatives.

• Power and Energy Systems
• Condition Monitoring
• Fault Diagnosis and Prognosis
• +۵ مورد دیگر

Dr Xiandong Ma is a Reader in Power and Energy Systems at Lancaster University's School of Engineering, where he has been a faculty member since December 2008. His research focuses on intelligent condition monitoring and fault diagnosis of power systems, with particular expertise in wind energy systems and smart grid technologies. His educational background includes: BEng in Electrical Engineering from Jiangsu University (1986) MSc in Power Systems and Automation from Nanjing Automation Research Institute (1989) PhD in Partial Discharge based High-voltage Plant Condition Monitoring from Glasgow Caledonian University (2002) Dr Ma's research spans intelligent condition monitoring and fault diagnosis/prognosis of wind power systems and electrical assets, condition-based operations and maintenance of power and energy systems, modeling, optimization, and control of smart/micro grids with renewable energy resources, power conversion and renewable energy integration, and associated machine learning and AI technologies and digital twin solutions. His work bridges theoretical advances with practical engineering applications in the renewable energy sector. His recent publications demonstrate a strong focus on quantum machine learning applications for wind turbine monitoring, electric vehicle-grid integration challenges, wave energy conversion systems, and nuclear fuel inspection technologies. The research shows a clear trajectory toward more sophisticated AI-driven solutions for energy systems, with increasing emphasis on multi-physics modeling and cross-domain applications. Dr Ma has received several prestigious recognitions: Chartered Engineer Fellow of the Institution of Engineering and Technology (FIET) Fellow of the Higher Education Academy (FHEA) Member of EPSRC Peer Review College KTP Fellowship awarded by University of Technology Sydney (2018) Ranked in the world's top 2% scientists by Stanford University He actively supervises numerous PhD students and postdoctoral researchers, with current projects including the Leverhulme Trust-funded "Self-Aware Power Networks: Autonomous Operation at Scale" and several EPSRC-funded initiatives. Dr Ma has secured significant research funding and collaborates extensively with industry partners to translate research into practical applications. Dr Ma leads research within Lancaster's Energy research group, focusing on the integration of advanced sensing, AI, and control techniques for next-generation power and energy systems. His team works closely with industrial partners including ALSTOM Power and various renewable energy companies to develop innovative solutions for real-world energy challenges.

Erica L. Belmontمشاهده پروفایل

دانشیار

• Combustion
• Biomass Energy
• Renewable Energy
• +۳ مورد دیگر

Erica L. Belmont is an Associate Professor in the Department of Mechanical Engineering at the University of Wyoming, leading the Belmont Energy Research Group (BERG). Her work focuses on experimental combustion science, renewable energy conversion, and sustainable materials development within the university's Carnegie R1 research framework. Her academic credentials include: B.S. in Chemical Engineering from Tufts University M.S. in Mechanical Engineering from Tufts University Ph.D. in Mechanical Engineering from the University of Texas at Austin Dr. Belmont's research integrates three interconnected domains: low-temperature combustion chemistry (particularly cool flames for advanced engine applications), biomass energy systems (including co-combustion of beetle-kill wood with coal), and biochar valorization (for carbon sequestration and materials production). Her experimental approach combines species/temperature measurements with numerical modeling to address energy efficiency and environmental sustainability challenges. Recent publications demonstrate consistent innovation in combustion diagnostics and biomass thermochemical conversion, with increasing emphasis on wildfire-derived carbon analysis and sustainable material synthesis. The work bridges fundamental chemical kinetics with practical energy applications, particularly in Western U.S. contexts affected by bark beetle infestations. She mentors a robust cohort of graduate researchers, with 21 advised students (11 Ph.D., 10 M.S.) contributing to BERG's mission. Her group secures research support through university and external partnerships focused on clean energy transitions. BELMONT ENERGY RESEARCH GROUP (BERG) operates specialized facilities for cool flame stabilization, biomass pyrolysis/gasification, and biochar characterization. Current projects include wildfire carbon quantification in Medicine Bow National Forest and development of biomass-derived battery components, reflecting Wyoming's energy landscape and ecological challenges.

Franco Mazzeiمشاهده پروفایل

استاد

• Electrochemical biosensors
• Optical biosensors
• Nanotechnology
• +۶ مورد دیگر

Franco Mazzei is a Full Professor at the Department of Chemistry and Pharmacy Technology , Sapienza University of Rome . He leads the Biosensors Laboratory and specializes in electrochemical and optical biosensors for clinical, food, and environmental applications. Research Interests Development of electrochemical biosensors using voltammetric, amperometric, and impedimetric techniques Optical biosensors based on surface plasmon resonance (SPR) and Raman spectroscopy Application of supramolecular chemistry for protein immobilization Study of nanostructured materials and conductive polymers in sensor development Collaborative projects with the Ministry of Health and EU initiatives (6th Framework Programme, Eurostars) Notable Publications focus on: SPR immunosensors for doping agent detection Gold nanoparticle-based platforms for biofuel cells and H2O2 sensing Supramolecular strategies for antibody immobilization and mycotoxin detection Advanced materials like lignin nanoparticles and polythiophene composites Environmental applications including PFAS monitoring and COD analysis Laboratory Activities include the use of: PGSTAT204 Electrochemical Interface for sensor development Spectroelectrochemical Raman for surface analysis Surface Plasmon Resonance (SPR) systems for biomolecular interactions QCM (Quartz Crystal Microbalance) for immunosensor validation

• Battery Technology
• Supercapacitors
• Energy Storage Systems
• +۵ مورد دیگر

Olivier BRIAT is a Professor at the University of Bordeaux, working within the IMS (Laboratoire de l'intégration, du matériau au système) research laboratory. He leads research in the RELIABILITY research group and is part of the RESS team. His work focuses on energy storage systems, particularly lithium-ion batteries and supercapacitors, with applications in electric and hybrid vehicles. His research interests span multiple areas of energy storage reliability and performance: Lithium-ion battery aging mechanisms and state-of-health estimation Supercapacitor performance degradation and reliability analysis Thermal effects on energy storage systems Electric vehicle powertrain integration Reliability testing methodologies for energy storage components Dr. BRIAT's publications show a strong focus on understanding and modeling the aging processes of energy storage systems. His work particularly emphasizes the impact of operational conditions (temperature, voltage, current profiles) on battery and supercapacitor lifetime. He has developed several methodologies for state-of-health estimation and remaining useful life prediction, with applications in both automotive and aerospace sectors. His research often involves close collaboration with industry partners including STMicroelectronics, Stellantis, GIS ALBATROS / Thales, NXP, CEA Leti, and SEQENS. His scientific contributions include numerous peer-reviewed publications in high-impact journals such as Applied Energy, IEEE Transactions on Industrial Electronics, and Microelectronics Reliability. He has also contributed to patent development in battery state-of-health evaluation methods and completed his HDR (Habilitation à Diriger des Recherches) on energy storage for electric and hybrid vehicles in 2017.

Jackson Craneمشاهده پروفایل

استادیار

• Renewable Energy Conversion
• Electrocatalysis
• Low-Carbon Combustion
• +۳ مورد دیگر

Assistant Professor Jackson Crane at Queen's University (Smith Engineering, Mechanical and Materials Engineering) specializes in renewable energy conversion technologies, electrocatalysis, and low-carbon combustion. His research spans detonation fundamentals for high-efficiency engines and CO2-reduction electrocatalysis for alternative fuel synthesis. Education: SB (MIT), MSc & PhD (Stanford), Postdoc (Queen's University) His research combines electrochemical CO2 conversion with detonation dynamics , focusing on multiphysics modeling and experimental validation. Current projects include: High-pressure CO2 reduction systems Detonation propagation in curved channels Pulse electrolysis for stable CO2 reduction Scientific awards include: Bernard Lewis Fellowship (2024) NSF Graduate Research Fellow (Stanford) Stanford Graduate Fellow

• Decision Support Systems
• Energy Management
• Sustainable Energy Planning
• +۸ مورد دیگر

Dr. Vangelis Marinakis is an Assistant Professor at the School of Electrical and Computer Engineering (ECE) of the National Technical University of Athens (NTUA). His academic background includes an Electrical and Computer Engineering degree and a PhD in Decision Support Systems for Sustainable Energy Planning from NTUA. PhD in Decision Support Systems for Sustainable Energy Planning (NTUA) Electrical and Computer Engineer (NTUA) His research focuses on designing methodologies for intelligent energy management across Smart Homes, Buildings, Cities, and Districts, leveraging technologies like IoT, AI, and Big Data. He has contributed to over 25 European (Horizon Europe, H2020) and national projects, with more than 50 journal publications and book chapters. Key research areas include Decision Support Systems , Energy Efficiency , and Renewable Energy Integration . He has led research in AI-driven energy forecasting, federated learning for privacy-preserving data models, and blockchain applications in energy markets. His work explores the intersection of Smart Grids , Building Informatics , and Climate Resilience . Dr. Marinakis has developed frameworks for: Decarbonization-as-a-Service in building renovations Scalable Big Data architectures for smart buildings Multi-criteria optimization of EV charging stations Explainable AI in energy decision-making Climate resilience assessment for urban housing

Malay K. Dasمشاهده پروفایل

استاد

• Computational Fluid Dynamics (CFD)
• Thermofluid Science
• Clean Energy Systems
• +۷ مورد دیگر

Malay K. Das is a Professor in the Department of Mechanical Engineering at the Indian Institute of Technology Kanpur . With a PhD from PennState, his career spans advanced research in thermofluid science, focusing on energy systems, carbon capture, and battery thermal management. B. E. (University of Calcutta), M. Tech. (IIT Kanpur), PhD (PennState) Teaches graduate-level courses like Machine Learning for Engineers and Mathematics for Engineers Leads two research laboratories: Energy Conservation and Storage Laboratory and Gas Hydrate Research Laboratory Research Interests: Computational Fluid Dynamics (CFD) applications in energy systems Physics-informed machine learning for thermofluid applications CO2 Sequestration and Methane Hydrate Reservoirs Thermal Management of Batteries and Fuel Cells Modeling Transport Phenomena in Porous Media Recent Publication Trends: His work focuses on energy conversion , gas hydrate dynamics , and advanced materials for electrochemical systems . Key areas include Lattice Boltzmann Methods , viscoelastic flow analysis , and nanofluid applications in carbon capture. Advising: Currently supervising PhD students Sourav Dhawan (CO2 Hydrates), Randeep Ravesh (Methane Recovery), Ayaj A. Ansari (Coalbed Methane), and Pawan K. Pandey (Cerebral Aneurysm Flow). Labs and Teams: Leads the Energy Conservation and Storage Laboratory (8 PhD graduates, 3 in progress) and Gas Hydrate Research Laboratory (2 PhD graduates, 1 in progress). Research teams work on fuel cells , CO2 sequestration , and graphene-based nanomaterials for energy applications.

• Climate-energy-economic analysis
• Integrated assessment modelling
• Climate stabilisation scenarios
• +۷ مورد دیگر

Daniel Johansson is an Associate Professor at Chalmers University of Technology, working in the Department of Physical Resource Theory. With approximately 20 years of experience in climate-energy-economic analysis and integrated assessment modelling, he has authored around 50 peer-reviewed articles and other research papers. His work bridges climate science, engineering, and economics to address critical environmental challenges. His research spans numerous topics including climate stabilisation scenarios, emission metrics, statistical estimation of climate sensitivity, fuel markets, negative CO 2 emissions, food vs fuel dynamics, climate impacts of aviation, and the role of autonomous vehicles in future transportation systems. Dr. Johansson actively engages with industry, policymakers, and the public through research projects, workshops, presentations, policy reports, and op-eds. His recent publications (2022-2025) reveal a strong focus on practical climate solutions across multiple domains. Key themes include methane policy and valuation, electric vehicle transitions and critical materials, autonomous transportation systems, climate justice and fair emission allocation, integrated assessment modeling, and carbon removal technologies. His work demonstrates a consistent integration of economic, engineering, and climate science perspectives to address complex environmental challenges. Among his notable scientific contributions are analyses of: The social cost of methane and appropriate climate metrics Fair allocation of national greenhouse gas emissions Sweden's electric car transition and critical material requirements Climate impacts of aviation and potential policy measures Investment decisions under carbon price uncertainty Autonomous vehicles and their implications for travel demand and emissions Dr. Johansson has led and coordinated various research activities both within Chalmers and in multinational contexts. He has developed courses on energy and environmental issues for students at Chalmers, the School of Economics at University of Gothenburg, and for employees at General Motors. Notably, during autumn 2015 to spring 2016, he took temporary leave from research to work as a regulatory expert at Volvo Cars. His current research projects (2022-2025) include: Co-created scenarios for the climate transition of passenger cars Climate impact from aviation emissions (CLIMAV) Social cost of aviation contrails Climate impacts of aviation: Policies and climate evaluation of different fuels Systems analysis of biomass and carbon capture across energy sectors MISTRA Carbon Exit Phase 2