Hrvoje Kozmar is a Full Professor in the Department of Physics at the University of Zagreb's Faculty of Science. His research focuses on fluid dynamics, aerodynamics, and environmental engineering, with particular emphasis on wind energy systems, atmospheric boundary layer flows, and structural dynamics. His work addresses challenges in offshore engineering, wind turbine design, and urban building aerodynamics. Professor Kozmar has contributed to advanced computational models for hydrodynamic loads on offshore structures, turbulence effects on tall buildings, and wind energy harvesting systems. His studies on Bora wind dynamics and rotor blade aerodynamics highlight interdisciplinary applications in meteorology and renewable energy. Key projects include surrogate modeling for offshore monopiles, numerical simulations of wave-current interactions, and experimental studies on porous double-skin façades for wind load mitigation. He has collaborated on wind farm layouts, cable-supported bridge stability, and aerodynamic optimization of vehicles.
Prof. Dr. Christian Diller is a Professor at the Justus Liebig University Giessen, where he leads the Spatial Planning and Urban Geography Division within the Institute of Geography. He serves as Chairman of the Bachelor Examination Board in Geography and is responsible for B.Sc. internships and thesis supervision. His research spans multiple critical areas of spatial planning and urban geography with significant funding from DFG, BMBF, and other agencies. His research focuses on six interconnected areas: climate resilience and critical infrastructure planning; urban geography and gentrification processes; settlement geography and spatial development patterns; regional development and governance; spatial evaluation research; and planning theory and methodology. His current work examines how spatial planning can address climate change impacts, particularly regarding critical infrastructure vulnerability, and investigates state-led gentrification processes in German cities through large-scale empirical analysis. Professor Diller leads multiple major research projects including MAPROLEIT (Material and procedural models of spatial planning), State-Led Gentrification research, KritIKlima (critical infrastructure and climate change), and VALPLAN (values in planning processes). His work combines theoretical development with practical applications, often involving multi-method approaches that bridge quantitative and qualitative techniques. His research has significant policy implications for urban development, climate adaptation, and regional planning in Germany and beyond. The findings contribute to strengthening municipal capacities for climate resilience and improving planning practices through evidence-based evaluation of planning instruments and methods. Professor Diller supervises numerous doctoral candidates and has completed supervision of several PhD theses on topics ranging from wind energy planning to urban development instruments. His collaborative approach is evident in his extensive network of research partnerships across German universities and research institutions. Lead researcher on over 15 major research projects since 2009 Principal investigator for multiple DFG-funded projects Supervisor of 16+ doctoral candidates (completed and ongoing) Collaborator with researchers across Germany and internationally
Simon J. Watson is a Professor in the Faculty of Aerospace Engineering at Delft University of Technology, specializing in Wind Energy through the TU Delft Wind Energy Institute (DUWIND). His work focuses on advancing wind turbine technology, wind farm optimization, and renewable energy integration within the university's aerospace framework. His research spans wind turbine engineering, condition monitoring systems, atmospheric effects on energy production, and wind farm design. Key investigations include damage detection in turbine components (blades, drivetrains), simulation of atmospheric gravity waves for improved energy forecasting, and hybrid wind-storage systems for grid stability. Recent work emphasizes machine learning applications for predictive maintenance and high-fidelity modeling of boundary layer conditions. Professor Watson's 2025 publications reveal a strong trend toward AI-driven condition monitoring and refined atmospheric simulations, with consistent focus on operational reliability and damage detection across wind energy systems. His work bridges computational fluid dynamics, structural health monitoring, and energy storage integration. He actively supervises students and leads the €4.2M MERIDIONAL project (2022-2026) on multiscale wind farm modeling, developing advanced toolchains for performance assessment and load prediction. This EU-funded initiative involves collaboration with Siemens Gamesa, Vestas, and ENEL. As a core member of DUWIND, he co-develops industry partnerships and experimental facilities including wind tunnel testing and field monitoring systems for offshore wind farms. His team maintains close ties with the Netherlands Wind Energy Association and European Wind Energy Technology Platform.
Dr. Luke Myers is an Associate Professor in the Energy and Climate Change Division at the University of Southampton, balancing his career between education, research, and enterprise. His primary research focuses on offshore renewable energy, particularly free-stream tidal turbines that function analogously to wind turbines but underwater. As an educator, he leads the first-year Thermofluids module across multiple international campuses and serves as an undergraduate lead and exchange coordinator for Civil Engineering. Education Background: PhD in Renewable Energy Systems Myers' research explores critical aspects of tidal energy technologies, including: Blade winglet design optimization Turbulence effects on turbine performance Array positioning strategies in marine environments Fluid-structure interaction in submerged turbines Micro-renewables applications like micro-wind turbines His publications demonstrate expertise in marine energy systems, with recent works analyzing turbulence manipulation in testing facilities and tidal turbine array optimization. His research has been supported by EPSRC, Royal Society, and Highways England. Scientific achievements include: 2008 keynote presentation on tidal turbine wake dynamics Contributions to international marine energy standards Development of turbulence control devices for hydrodynamic testing As an academic leader, he: Served as Director of Programmes for Civil Engineering (2014-2018) Led successful re-accreditation of Civil Engineering degree programmes Mentors PhD students like Vaishnavi Thavarajah Collaborates with institutions including Harbin University (China) Myers remains actively engaged in research groups like the Southampton Marine and Maritime Institute and Nature-Based Ocean Solutions, advancing maritime decarbonization through tidal energy innovations.
Yasser Mohamed is a Professor in the Civil and Environmental Engineering Department at the University of Alberta . His academic and professional focus revolves around construction engineering, discrete-event simulation, and process optimization for industrial and tunneling operations. He has also explored knowledge engineering techniques and the application of TRIZ (Theory of Inventive Problem Solving) to construction processes. Email: yaly@ualberta.ca Location: 7-269 Donadeo Innovation Centre For Engineering, Edmonton, AB Courses Taught: CIV E 603 (Construction Informatics), CIV E 606 (Design and Analysis of Construction Operations) His research emphasizes modeling construction processes using discrete-event simulation to optimize performance and develop synthetic environments for construction operations. Recent publications, however, indicate a shift toward power systems, focusing on DC microgrids , grid-forming converters , and renewable energy integration . Scientific Awards: None explicitly mentioned in the provided data. Advising and Grants: No formal advisees listed. A co-applicant on a CRD grant (2007–present) for synthetic environments in construction simulation.
Amin Hajizadeh is an Associate Professor at Aalborg University (AAU), affiliated with the Esbjerg Energy Section in the Faculty of Engineering and Science . His research focuses on renewable energy systems, DC microgrids, offshore renewable energy integration, and AI-driven energy solutions. He holds a PhD in Electrical Power Engineering (2010). Research Highlights: Developing control strategies for modular multiport DC-DC converters and offshore wind-hydrogen systems Advancing energy management in net-zero buildings and smart city frameworks Pioneering work in AI-based wake steering for wind farm optimization Projects & Awards: Lead investigator in BlueBARGE (€5M EU project on renewable bunkering for anchored ships) Recipient of the 2024 Best Paper Award for work on neural network-based wake steering Key Contributions: Published 140+ papers in journals like IEEE Transactions and Renewable Energy Supervised 6 PhD students and contributed to 19 funded research projects Active in editorial roles (e.g., IET Renewable Power Generation)
Prof. Jörg Seume is the Executive Director of the Institute of Turbomachinery and Fluid Dynamics at Leibniz University Hannover (Faculty of Mechanical Engineering). He also serves as Spokesperson of the Collaborative Research Centre (CRC) 871 'Regeneration of Complex Capital Goods' and holds roles in the Leibniz Research Centre Energy 2050. His research focuses on turbomachinery, fluid dynamics, gas turbine technology, and aerodynamics. Education details are not explicitly provided, but his academic and professional trajectory indicates expertise in mechanical engineering and fluid dynamics. Research interests include compressor and turbine design, aeroelasticity, aeroacoustics, and energy systems (e.g., PEM fuel cells, organic Rankine cycles). Recent publications (2023-2024) emphasize numerical simulations of turbine and compressor performance, aeroacoustic scaling, labyrinth seal dynamics, and innovations in hydrogen and fuel cell systems. He leads experimental and computational projects, including wind tunnel tests and fluid dynamics modeling. Notable projects include the WiValdi wind farm research initiative and the development of electric turbochargers for automotive applications. His work bridges academic research with industrial applications in energy and propulsion systems.
Enrique Lobato Miguélez is a Full Professor at the Higher Technical School of Engineering (ICAI) of Comillas Pontifical University in Madrid, Spain, where he has been a faculty member since June 1, 1998. His research is conducted at the Technological Research Institute (IIT), focusing on electrical power systems, with a strong emphasis on renewable integration, energy storage, and island grid stability. His research interests include the analysis, planning, operation, and economics of electrical systems, with specific expertise in frequency-power control, voltage control, electricity markets, and the sustainability of insular systems. He has made significant contributions to the integration of renewable energy sources and the application of storage elements in power systems. The recent publications highlight a consistent focus on optimization, control, and integration challenges in modern power systems, particularly in islanded and renewable-rich environments. Key themes include unit commitment with frequency constraints, robust design of under-frequency load shedding, battery energy storage in wind farms, and data-driven modeling for stability enhancement. His work often combines theoretical modeling with practical applications for industry partners like Red Eléctrica de España, Naturgy, and Endesa. Scientific Awards: Eolo annual Innovation Award in May 2016 awarded by the Wind Energy Business Association AEE Distinción Honorífica a la mejor Tesis Doctoral en Ingeniería «Voltage control design of wind energy harvesting networks» por Elena Sáiz Professor Lobato has supervised several PhD students, including M. Rajabdorri, I. Saboya, and E. Saiz. He has led numerous research and consulting projects funded by the European Commission, Spanish government agencies, and private companies such as Iberdrola, Endesa, and Viesgo, covering topics like grid integration of renewables, energy storage, and market design. He has also organized major scientific events such as the ICREPQ conferences and conducted training courses for industry professionals. He has conducted research stays at Sophia University in Tokyo and University College Dublin, and his work has resulted in a book on island power systems and over 60 journal publications.
Jan Kotik is a researcher at the Institute of Process and Energy Engineering , part of the University of Natural Resources and Life Sciences, Vienna (BOKU) . His work focuses on energy efficiency in building systems, biomass gasification for sustainable energy, and thermal control strategies. Current projects include smart heat grid implementation, biomass-to-hydrogen integration, and optimizing domestic hot water systems in historic buildings. He has advised multiple thesis students on topics spanning solar thermal systems, energy storage, and building renovation. Research Trends : Kotik's research emphasizes reducing energy consumption in laboratory and residential buildings, with notable work on occupancy-based HVAC control, thermal renovation of Gründerzeit architecture, and biomass gasification for industrial applications. His publications often employ data-driven methods for system optimization. Key Contributions : 10 peer-reviewed publications (2007-2023) addressing energy efficiency, gasification, and smart thermal systems. Active in EU-funded projects like BIOTOXDoc and national industry collaborations. Advising : Supervised 14 university theses on energy systems, including: Thaler A: Alternative energy supply for Groß-Enzersdorf farm Ring J: Photovoltaic storage economics Dür S: Wind energy in Lower Austria
Julian Antony Quick is a Researcher at the Department of Wind and Energy Systems within the Technical University of Denmark . His work focuses on wind farm optimization, energy management, and market-driven renewable energy systems. Active research in wind farm control and market integration Specializes in hybrid power plant design and uncertainty quantification Contributes to UN Sustainable Development Goals through wind energy research His research explores advanced optimization techniques for wind resource assessment, turbine design, and revenue maximization in electricity markets. Key areas include: Compressed air energy storage integration Wind farm layout optimization Surrogate-based system modeling Dynamic energy management strategies While not explicitly listed, his collaborative projects suggest active involvement in PhD supervision and industry partnerships across Europe. His recent publications demonstrate a strong focus on translating technical advances into economic benefits through: Market-aware wind farm design Data-driven flow control Hybrid system efficiency improvements SDG-aligned sustainable energy solutions
Charlotte Bay Hasager serves as Professor in the Department of Wind and Energy Systems at the Technical University of Denmark (DTU), specializing in offshore wind energy meteorology with expertise in remote sensing, boundary-layer processes, and environmental load impacts on wind turbines. Her research directly supports UN Sustainable Development Goals through renewable energy innovation and climate action initiatives. Her primary research domains include: Offshore wind resource assessment using satellite and radar technologies Boundary-layer meteorology and surface flux dynamics Leading edge erosion mechanisms from rain-wind interactions AI-driven operational strategies for wind farm durability Synthetic Aperture Radar (SAR) applications for wind field mapping Recent publications (2024-2025) demonstrate converging trends in erosion risk modeling, reinforcement learning for turbine operation, and advanced remote sensing techniques. These works span renewable energy engineering, meteorological science, and artificial intelligence applications, with strong emphasis on practical solutions for offshore wind farm challenges under extreme weather conditions. Professor Hasager actively secures major research funding through projects including: AIRE Horizon Europe project (2023-2026): Atmospheric flow integration for wind farm design Thunderbolt project (2023-2025): Wind power optimization initiatives ESA WAII project (2023-2025): Explainable AI for SAR wind assessment CCA LEE project (2022): Leading Edge Erosion cross-cutting research INOWER project (2022-2023): International offshore wind energy networks She maintains significant scientific leadership through conference organization (6th International Symposium on Leading Edge Erosion, 2025), workshop participation (Sandia Blade Workshop, 2024), and media contributions on wind energy topics including North Sea wind farm impacts and satellite Earth observation.
Dr. Jian Liu is an Assistant Research Professor at the Kummer Institute Center for Artificial Intelligence and Autonomous Systems and the Department of Electrical and Computer Engineering at Missouri University of Science and Technology. He holds a Ph.D. in Electrical Engineering from Missouri S&T and another Ph.D. in Management Science and Engineering from Nanjing University of Aeronautics and Astronautics. His research focuses on artificial intelligence, energy systems optimization, and operations research with applications in sustainable energy, queueing theory, and supply chain management. He has held visiting positions at prestigious institutions including Penn State University and Tsinghua University. Research Interests: Artificial Intelligence (Explainable AI, Reinforcement Learning) Energy Economics (Electricity Markets, Renewable Integration) Behavioral Operations (Queueing Systems, Fairness in Service) Complex System Optimization (Supply Chains, Manufacturing) Publications reflect expertise in AI applications for edge computing, energy storage optimization, and behavioral queueing models. Recent work addresses fairness in service systems, dynamic pricing strategies, and multi-period energy dispatch optimization. His research spans interdisciplinary areas including smart grids, sustainable materials, and industrial process optimization. Liu has advised multiple collaborative projects at the intersection of AI and energy systems. His work has been published in top journals like Applied Energy and IEEE Transactions on Power Systems .
Dr. Tan Boon Thong is an Associate Professor at the Malaysia School of Engineering, Monash University Malaysia. His research focuses on fluid structure interaction, aerodynamics, thermal energy storage, and sustainable engineering solutions. He is actively involved in industry collaborations, including projects on acoustic rainfall estimation, thermal storage systems, and nanostructure-based biomedical applications. His work aligns with UN Sustainable Development Goals related to affordable and clean energy, industry innovation, and climate action. Dr. Tan has led or participated in multiple research projects, including studies on galloping-induced energy harvesting, heat transfer enhancement, and biofuel combustion optimization. He has also contributed to improving water distribution infrastructure and reducing non-revenue water in Malaysia. His teaching commitment includes MEC2404 (Mechanics of Fluid) and mentoring student teams in competitions like Shell Eco Marathon and Formula SAE, fostering technical and soft skills. He has received the ITEX 2018 Silver Medal for his contributions. His research outputs span over 46 publications, with a focus on combustion science, fluid dynamics, and sustainable engineering. Collaborations include international partners in Thailand, China, and Malaysia. Dr. Tan’s labs and teams prioritize real-world applications, emphasizing interdisciplinary approaches to address global challenges. His current projects explore graphene-enhanced cooling systems and sustainable material composites, reflecting his dedication to advancing engineering solutions for societal benefit.
Mahdi Abkar is an Associate Professor at the Department of Mechanical and Production Engineering, Aarhus University, leading the Fluids and Energy section. His research focuses on fluid mechanics, turbulence modeling, and wind energy optimization using computational fluid dynamics (CFD) and machine learning techniques. Research Areas: Fluid Mechanics, Turbulence, Wind Energy, Data-Driven Modeling Affiliation: Aarhus University, College of Engineering His recent work emphasizes turbulence modeling, LES/RANS simulation improvements, and wind farm power prediction. Articles highlight data-augmented models, flow separation analysis, and drag reduction strategies. He contributes to CFD applications in renewable energy systems, including ultrasonic flow meter design and atmospheric boundary layer interactions.
Roles and Affiliations: Dennice F. Gayme is an Associate Professor in the Department of Mechanical Engineering at Johns Hopkins University's Whiting School of Engineering. She holds secondary appointments in Electrical and Computer Engineering and Environmental Health Engineering. She serves as a member of the Ralph O’Connor Sustainable Energy Institute (ROSEI) leadership council and is the faculty advisor for the Society of Women Engineers (SWE) and Hopkins Students Wind Energy Team (HSWET). Education: Bachelor’s in Mechanical Engineering and Society, McMaster University (1997) MS in Mechanical Engineering, UC Berkeley (1998) PhD in Control and Dynamical Systems, Caltech (2010) Postdoctoral Fellow in Computing and Mathematical Sciences, Caltech (2010–2012) Research Interests: Her work focuses on modeling, analysis, and control of large-scale networked systems in applications such as wall-bounded turbulent flows, wind farms, and power grids. Key areas include: Control systems for renewable energy integration Wake dynamics and wind farm optimization Fluid-structure interactions and turbulence Networked dynamical systems and distributed control Her lab employs computational methods from fluid mechanics, applied mathematics, and optimization. Recent Research Trends: Articles emphasize interdisciplinary approaches combining turbulence modeling, wind energy systems, and control theory. Key themes include wake steering optimization, offshore wind farm dynamics, and turbulence control using riblet surfaces. Recent work also explores climate resilience in energy systems and market mechanisms for renewable integration. Awards and Recognition: NSF CAREER Award (2017) ONR Young Investigator Program Award (2017) JHU Discovery Awards (2019, 2022, 2024) IEEE Senior Member and SIAM/APS/ASME Fellow Advising and Grants: Advised over 10 PhD students, including Carl Shapiro, Ismail Hameduddin, and Genevieve Starke. Secured grants from NSF, ONR, and JHU. Her team developed the JHTDB-wind database for wind farm research. Labs and Collaborations: Leads the Networked and Spatially Distributed Systems Research Group. Collaborates with institutions like Portland State University on offshore wind potential. Serves on editorial boards for Physical Review Fluids and Annual Review of Fluid Mechanics .
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