Eduardo Antonio Ahedo Galilea is a Full Professor in the Department of Aerospace Engineering at Universidad Carlos III de Madrid (UC3M), leading the Plasmas and Space Propulsion Team (EP2). His research focuses on plasma propulsion systems, particularly Hall thrusters, magnetic nozzles, and helicon plasma thrusters, with expertise in plasma dynamics, wave-plasma interaction, and spacecraft-plume effects. Current projects: MLPLUS-CM (2025-2028), PROPULSION ELECTROMAGNETICA POR EFECTO HALL (2023-2026) International collaborations: European Commission, Airbus Defense and Space, SENER His recent publications analyze non-stationary plasma expansions, electron cooling mechanisms, and magnetic nozzle physics across multiple thruster designs. He supervises theses on turbulent transport, wave-plasma interaction, and fluid-kinetic thruster modeling. Grants include funding from the European Commission Research Executive Agency, Agencia Estatal de Investigación (AEI), and regional programs like RIS3-CAM.
Jesse S. Wainright, PhD, is a Research Professor in the Department of Chemical and Biomolecular Engineering at Case Western Reserve University (CWRU), affiliated with the Electrochemical Engineering and Energy Lab (EEEL) within the Case School of Engineering. He holds an adjunct professor title and previously worked as a research engineer at Standard Oil and BP. His research focuses on electrochemical power sources, including fuel cells, batteries, and supercapacitors, with an emphasis on novel battery chemistries and grid-scale energy storage solutions. Dr. Wainright’s work integrates experimental and theoretical studies of ionic conductivity, material development (e.g., electrolytes, catalysts), and fabrication techniques like microfabrication and 3D printing. He leads projects funded by DOE (Basic Energy Science and Office of Electricity) and NIH, advancing breakthrough electrolytes in deep eutectic solvents, slurry electrode concepts for all-iron flow batteries, and electrochemical nerve block technologies. His teaching includes courses on separation processes and senior laboratory practices. Notable contributions include patents for composite membranes in flow batteries and iron flow battery systems for grid storage. His publications span journals like J. Electrochem. Soc. and ACS Applied Materials & Interfaces , addressing topics from redox flow battery design to electrochemical nerve block applications.
Dwi Rahayu is a Lecturer in the Department of Human Centred Computing at Monash University. She is a Chief Investigator in the 2025 project 'Integrating Equity, Diversity, and Inclusion (EDI) into ICT Education: A GenAI-Powered Approach to Curriculum Development' funded by the Australian Council of Deans of Information and Communications Technology (ACDICT). Her research spans smart energy systems, wireless sensor networks, data science, and educational technology. Her expertise contributes to UN Sustainable Development Goals, particularly in advancing equitable and inclusive education through technology. Research collaborations include work on multimodal analytics for team teaching, sentiment analysis of e-commerce reviews, and material science innovations in metallurgy. Key research trends include optimizing data routing in sensor networks, developing context-aware energy solutions, and leveraging large language models for topic and sentiment analysis. She has advised multiple projects involving energy management, healthcare practices, and corporate financial analysis. No scientific awards are explicitly mentioned in the provided texts. Her work also involves community-focused initiatives, such as improving web programming skills through Laravel frameworks and enhancing logical thinking via game development in adolescents. Projects often emphasize practical applications of technology in public administration and healthcare contexts.
Aleksandar Dj. Lolic is a Full Professor at the Department of Analytical Chemistry, Faculty of Chemistry, University of Belgrade. He holds a PhD in Chemistry from the same institution (2012), with prior master’s (2006) and undergraduate (1999) degrees. His career spans over two decades, progressing through roles including Graduate Assistant (2003–2007), Teaching Assistant (2007–2014), Assistant Professor (2014–2019), and Associate Professor (2019–2024) before attaining his current rank. He is affiliated with the Serbian Chemical Society and actively participates in faculty governance, including roles on admission committees and the Faculty Board. His research focuses on developing analytical methods for environmental and pharmaceutical applications, particularly flow-injection systems with electrochemical detection and sensors for pollutants and pharmaceutical ingredients. Notable projects include the IMPTOX initiative (2021–2025), funded by the EU’s Horizon 2020, investigating microplastics’ combined toxicity with contaminants. Earlier work includes environmental monitoring projects supported by Serbia’s Ministry of Science. His publications highlight advancements in electrochemical sensors, heavy metal analysis, and pharmaceutical residue detection in environmental samples. Collaborative efforts span institutions in Portugal, Bosnia, and Serbia. He teaches courses such as Flow Methods in Analytical Chemistry and contributes to research groups focused on biologically active compounds and analytical sensor development.
Gary Howorth is a Research Fellow in the Department of Electronic and Electrical Engineering at the University of Strathclyde, Faculty of Engineering. With a PhD in Power Aggregation Business Models and extensive industry experience across BP, Arthur Andersen, PA Consulting, and PFC Energy, he brings a unique blend of technical and economic expertise to energy systems research. His work bridges industry practice and academic inquiry, focusing on next-generation energy solutions. His educational background includes a PhD (2023) and MBA from the University of Strathclyde, and a BSc in Electronic Engineering from the University of Southampton. Doctor of Philosophy, Power Aggregation Business Models, University of Strathclyde (2023) Master of Business Administration (MBA), University of Strathclyde (1990) Bachelor of Science, Electronic Engineering, University of Southampton (1982) Dr. Howorth's research focuses on Virtual Power Plants (VPPs) , agent-based modeling , energy market dynamics , and business model innovation in distributed energy systems. His work integrates technical modeling with economic and behavioral analysis, particularly in the context of smart grids and decarbonization. His recent publications (2023–2025) reveal a strong trend toward modeling DSO risk, optimizing VPP operations, and analyzing human and corporate behavior in energy markets. These works emphasize forecasting accuracy , flexibility markets , and real-world implementation challenges of VPPs, contributing to the transition toward net-zero energy systems. His scientific recognition includes the EE Zepler Prize (1981). He has contributed to major research projects, including an EPSRC-funded Doctoral Training Partnership, and is actively involved in professional activities such as CIRED 2025. Dr. Howorth has advised doctoral researchers and served as a Research Co-investigator on funded projects. He has collaborated with industry and international bodies, including part-time work with the World Bank on carbon financing and clean energy initiatives. His research is supported by grants from EPSRC and contributes to UN Sustainable Development Goals in energy and sustainability. He is involved in the development of VPP platforms and participates in professional networks such as the Energy Institute, where he served as Secretary for the Southern Scotland Branch until 2024.
Jamal Naser is a Senior Lecturer in the School of Engineering at Swinburne University of Technology, where he actively contributes to research, teaching, and supervision. He holds the academic rank of Senior Lecturer and is involved in numerous research projects focusing on computational fluid dynamics (CFD), energy systems, and materials processing. Research Interests: His primary research areas include fluid mechanics, thermal engineering, chemical engineering, and extractive metallurgy. He specializes in CFD modeling applied to hydrogen use in steelmaking, wildland fire spread, composite manufacturing, and renewable energy systems such as wind turbines. His work bridges fundamental fluid dynamics with industrial applications in clean energy and sustainable manufacturing. The analysis of his recent publications reveals a strong trend in applying numerical modeling to environmental and industrial challenges—particularly decarbonization in steelmaking, fire safety in timber buildings, and bio-inspired wind turbine design. His research consistently employs advanced simulation tools like ANSYS Fluent and AVL FIRE, often incorporating user-defined subroutines for multiphase and reactive flows. Scientific Contributions: Lead and co-author of over 190 publications, with recent work appearing in high-impact journals such as Metallurgical and Materials Transactions B , Fire , and Energies . Active researcher in hydrogen-based steelmaking, fire dynamics, and composite preforming, contributing to sustainable development goals related to clean energy and climate action. Advising and Grants: Jamal Naser supervises multiple PhD and Master’s students and has secured several external research grants from organizations including CSIRO, Australian Mathematical Sciences Institute, and Lunar Resources. His grants support projects on hydrogen in steelmaking, lunar metal casting, and anaesthesia data analysis, demonstrating interdisciplinary collaboration and industry engagement. Labs and Teams: He collaborates with researchers in multiphase flow modeling, combustion, and materials engineering, often working with teams involving G. Brooks, W.D.S. Fernando, and S.M. Hayajneh. His work integrates experimental validation with computational modeling, ensuring robust and scalable solutions.
Ken Visser serves as Professor of Engineering at Calvin University, where he currently leads the Aerospace Engineering Concentration development. Previously, he held faculty positions at Clarkson University since 1998 and gained industry experience through roles at NASA Langley Research Center and The Boeing Company. His academic credentials include: Ph.D. in Engineering from University of Notre Dame (1991) M.S. in Engineering from University of Notre Dame (1988) B.Sc. in Engineering from University of Calgary (1986) Visser's research centers on applied aerodynamics with emphasis on ducted wind turbine design, ground vehicle drag reduction, and aircraft wing optimization methodologies. His work bridges theoretical aerodynamics with practical engineering applications, focusing on energy efficiency improvements in renewable energy systems and transportation. Current projects integrate computational modeling with experimental validation to address real-world implementation challenges. Analysis of his 12 publications (2010-2024) reveals consistent focus on ducted wind turbine performance optimization through computational fluid dynamics and experimental testing. Key trends include power extraction maximization strategies, rotor position sensitivity studies, and full-scale prototype validation. His research demonstrates strong industry relevance with applications in sustainable energy systems and aerodynamic design. Professional highlights include a patented wingtip design implemented on Boeing 767-400ER aircraft, contributions to the High Speed Civil Transport project, and collaborative work with AmericaOne during the 2000 America's Cup campaign. He also maintained international research partnerships through sabbaticals at Germany's DLR aerospace center and collaborations with Fairchild Dornier Aircraft. Visser actively engages students through hands-on projects, notably developing a 3-meter ducted wind turbine prototype at Clarkson University. At Calvin, he continues this experiential approach while establishing new aerospace engineering curriculum and research infrastructure.
Stanislav V. Chicherin is a researcher at the Faculty of Engineering, Vrije Universiteit Brussel, specializing in energy systems and optimization within the Department of Engineering Technology. His work focuses on advancing district heating technologies and thermal network efficiency. District Heating Thermodynamics Energy Systems Optimization Thermal Network Simulation Recent publications highlight his contributions to fifth-generation district heating and cooling networks, multi-energy systems optimization, and robust design methodologies under uncertain energy market conditions. His research employs computational modeling and linear programming techniques to address thermal power flow and demand-side challenges. He actively participates in peer-review activities for journals including Discover Energy , Journal of Cleaner Production , and Applied Energy , and has presented at conferences on synthetic load profile modeling for energy consumption.
Dr. Svetlana V. Poroseva is a Professor at the Department of Mechanical Engineering, University of New Mexico (UNM), with a distinguished career in turbulence physics, uncertainty quantification, and bio-inspired design. Her work bridges computational fluid dynamics (CFD) with applications in renewable energy, power systems survivability, and aerospace engineering. Her educational background includes a Ph.D. in Fluid and Plasma Mechanics (1996) and an M.S. in Physics (1989) from Novosibirsk State University, Russia. She has held faculty positions at UNM since 2010, progressing from Assistant to Professor (2023). Her research focuses on high-order turbulence closures, data-driven modeling, and evidence theory for multi-model predictions, with a strong emphasis on quantifying uncertainty in simulations. Dr. Poroseva’s recent publications highlight advancements in bio-inspired rotor design, DNS analysis of mixing layers, and solar energy accessibility studies. She has developed software tools like FIESTA and Power System Graph Converter, both under open licenses. Her work spans turbulent flow validation, power grid topology optimization, and aerosol transmission modeling, particularly during the pandemic. Scientific Awards UNM School of Engineering Dean’s Excellence Lectureship Award (2022) Harrison Faculty Excellence Award (2021-2022) Rainforest Innovation Award (2022) AIAA Associate Fellow (2013) Fellowships at Stanford, CNRS, and CISM She advises numerous graduate and undergraduate students, leads the UNM AIAA Student Chapter, and collaborates internationally on projects involving NASA, Sandia, and European institutions.
Petronilla Fragiacomo is a Full Professor in Energy Systems and Power Generation at the University of Calabria, where she directs the Hydrogen and Fuel Cells Laboratory and chairs the Graduate Commission in Mechanical Engineering. She has been affiliated with the Department of Mechanical, Energetic and Management Engineering since 1987, progressing from researcher to full professor. Her research focuses on hydrogen production/storage, fuel cell technologies (SOFC, PEMWE, AEMFC), and renewable energy integration for stationary/mobile applications. Key innovations include multi-physics modeling of electrolyzer systems, hybrid propulsion for marine/terrestrial vehicles, and techno-economic analysis of hydrogen infrastructures. She pioneers Industry 4.0 applications in hydrogen economy frameworks. Recent publications (2024-2025) emphasize hydrogen refueling optimization, heavy-duty transportation, biomass gasification hybrids, and international supply chain analysis. Over 70% of works involve computational modeling of energy systems. Research Leadership: Director of PON COMESTO project (2018): Integrated PEMFC/PEMEC systems Scientific lead for Trenitalia-DIMEG collaboration (2020) PRIN project director: Intermediate Temperature SOFCs (2012) She oversees the Hydrogen and Fuel Cells Laboratory, collaborating with ENEA, CNR, and international universities (Esslingen, Warsaw, Los Angeles). Current industrial partnership: AVL University Program.
Sonja Unger is a Scientist at the Leibniz Institute of Photonic Technology (IPHT) in Jena, Germany, working within the Technology Group Competence Center for Specialty Optical Fibers. Her research focuses on the material science and engineering aspects of specialty optical fibers for laser and sensing applications. Dr. Unger's research interests center on the fundamental properties of doped silica glasses for optical fiber applications. She investigates photodarkening phenomena in rare-earth doped fibers, particularly examining how co-dopants like cerium and aluminum can mitigate degradation effects in ytterbium and thulium fiber lasers. Her work also explores the viscous flow behavior of various doped silica glasses during fiber manufacturing processes, including collapsing techniques used in MCVD (Modified Chemical Vapor Deposition). Analysis of her publication record reveals consistent focus on specialty optical fiber development, with particular emphasis on thulium and ytterbium doped systems. Her research spans from fundamental material characterization to practical high-power laser applications, with significant contributions to understanding photodarkening mechanisms and developing mitigation strategies. Recent work has expanded into crystal-derived fiber approaches, combining crystalline and amorphous materials to create novel fiber structures with enhanced performance characteristics. Dr. Unger actively collaborates with researchers across the IPHT institute and with external partners, as evidenced by her co-authorship on numerous publications with colleagues from various research groups. Her work contributes significantly to advancing high-power fiber laser technology and specialty optical fiber development.
Batin Latif AYLAK serves as Associate Professor in the Department of Industrial Engineering at the Faculty of Engineering, Turkish-German University, Turkey. Previously, he held an Assistant Professor position at Hitit University starting in 2015. His academic career spans over a decade of research at the intersection of industrial engineering, logistics, and artificial intelligence. His educational foundation includes: Doctorate in Mechanical Engineering from University of Duisburg-Essen (2010-2015) Master's degree in Mechanical Engineering from University of Duisburg-Essen (2008-2010) Bachelor's degree in Industrial Engineering from Istanbul Kültür University (2001-2006) with full scholarship Dr. AYLAK's research pioneers the integration of artificial intelligence in supply chain optimization, with particular emphasis on sustainable logistics systems. His work bridges theoretical advancements with practical applications in blockchain implementation for supply chain transparency, machine learning-driven energy forecasting, and intelligent warehouse management. He has developed novel frameworks like SustAI-SCM for agentic AI in sustainable supply chains and contributed significantly to understanding digital transformation in Turkey's logistics sector. His publication trajectory (2021-2025) reveals a strategic evolution from foundational logistics research toward cutting-edge AI applications. Early work focused on optimization algorithms and blockchain integration, while recent publications demonstrate leadership in agentic AI systems for sustainability, advanced predictive modeling for renewable energy, and pandemic-responsive supply chain solutions. This progression highlights his adaptation to emerging technological paradigms while maintaining core focus on supply chain resilience. No scientific awards or fellowships were documented in the provided materials. Dr. AYLAK has secured competitive research funding including project BAP TAÜ - 2018BM0028 for digital trend analysis in Turkey's logistics sector. While his publications indicate collaborative research with multiple co-authors across institutions, no formal graduate student advisement relationships were specified in the available documentation.
Rui Sá Shibasaki is a lecturer at the University of Picardie Jules Verne, specializing in Optimization and Cryptography within the AI - OCIA department. His research focuses on operational research and mathematical optimization, particularly in network design, assembly line balancing, and energy efficiency. Research Trends: His recent publications emphasize energy optimization in manufacturing processes, robust assembly line balancing under uncertainty, MaxSAT formulations for integer programming, and advanced decomposition methods in large-scale network design. Key themes include constraint programming, heuristic algorithms, and sustainability in industrial systems. Notable Contributions: He has developed Dantzig-Wolfe decomposition techniques for stability radius optimization and explored entropy-based sensor placement strategies. His work bridges theoretical optimization with practical applications in logistics and production planning.
João André Pinto Soares is a Senior Researcher at the Knowledge Engineering and Decision Support Research Group (GECAD) at the Polytechnic Institute of Porto's School of Engineering. He earned his PhD in Electrical and Computer Engineering from UTAD in 2017 and has since secured significant funding through FCT projects, including CENERGETIC as Principal Investigator and BENEFICE as co-PI. Principal Investigator for CENERGETIC project on energy resource management Co-PI for BENEFICE project on smart building optimization Visiting Professor at Centrale Lille since 2019 Co-coordinator of SAtCOMM project for sustainable Atlantic energy communities Dr. Soares has established international collaborations with institutions including Sao Paulo State University (UNESP), Honda Research Institute Europe, and Centrale Lille. His research focuses on energy resource management in smart grids, with particular emphasis on local energy markets and electric vehicles. He has successfully managed a team of 10 researchers over the last 5 years and supervised numerous students at various academic levels. His publication record includes over 200 scientific articles, with 75 in international journals, garnering more than 5500 citations and an h-index of 40. His most recent work demonstrates strong trends in applying advanced optimization techniques, machine learning, and metaheuristics to energy resource management problems, particularly focusing on uncertainty modeling, electric vehicle integration, and local energy markets. Chair of IEEE ISATC Task Force on Computational Intelligence for the Energy Domain Secretary of the IEEE PES Intelligent Systems Subcommittee Launched 16 special issue editions as co-editor in JCR journals Reviewed over 400 scientific papers Dr. Soares has supervised 9 PhD students (7 ongoing), 23 MSc students, and 23 BSc students. His research has been supported by 28 national/international projects (10 as PI, 2 as Co-PI, and 17 as researcher), including Horizon/H2020 projects. He has also been instrumental in organizing over 30 scientific events and has delivered more than 30 invited talks at international conferences.
Alan Kabanshi is an Associate Professor in Energy Systems at the Department of Building Engineering, Energy Systems and Sustainability Science, University of Gävle. His research focuses on resource-efficient ventilation strategies, cognitive psychology of climate change, and occupant energy behavior in sustainable built environments. Key Research Areas: Energy efficiency in buildings Air distribution and ventilation systems Airborne infection transmission modeling Cognitive biases in climate change perception His work includes experimental and computational studies on confluent jets, diffuse ceiling ventilation, and sustainable energy systems. Recent publications highlight advancements in ventilation efficiency, infection risk models, and renewable energy integration. Scientific Awards: Royal Skyttean Society Prize for Younger Researcher (2020) Kabanshi actively investigates occupant behavior, thermal comfort, and energy-saving technologies, with a strong international collaboration network.
