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Professor Xiaowei Zhao is a Professor of Control Engineering at the University of Warwick's School of Engineering, leading the Intelligent Control & Smart Energy (ICSE) research group. He serves as Director of the EPSRC Supergen Network Plus in AI for Renewable Energy and Co-Director of the EPSRC Supergen Offshore Renewable Energy Hub. His work focuses on control theory, machine learning, and their applications in renewable energy systems, smart grids, and autonomous systems. He has secured over £40 million in grants from EPSRC, Horizon Europe, Innovate UK, and industry, establishing four state-of-the-art labs: Offshore Renewable Energy Lab, Renewable Energy Integration Lab, Hydrogen Technology Lab, and Autonomous Systems Lab. Education: PhD in Control Theory from Imperial College London (2010), postdoctoral research at the University of Oxford (2010-2013). Research interests include offshore wind farm control, energy storage, and AI-driven energy systems. Notable recognition includes being a 2024 finalist for the UK Government’s Manchester Prize for AI in public good. Grants and Projects: Over 17 grants since 2017, including EPSRC Supergen Hubs, Horizon Europe projects, and industry collaborations. Recent grants include leadership roles in the £26M EPSRC Supergen Network Plus and a £4.86M Horizon Europe grant for economic DC microgrids. Awards: Manchester Prize finalist (2024), EPSRC funding leadership, and over 90 peer-reviewed publications. His work spans reinforcement learning, control systems, and sustainable energy integration.

• Control Theory
• Machine Learning
• Offshore Renewable Energy
• +3 more

Vincent Moureau is a CNRS Research Fellow (HDR) at the CORIA laboratory, specializing in advanced computational fluid dynamics and combustion modeling. His research focuses on Large-Eddy Simulation (LES) of turbulent flows, spray dynamics, and thermo-acoustic instabilities in complex geometries. He is a core developer of the YALES2 solver, a high-order unstructured code for multiphase reactive flows. Positions: Research Fellow at CORIA, HDR, and affiliated with INSA de Rouen for teaching. Key Expertise: LES in gas turbines, piston engines, and wind turbines; numerical methods for HPC systems. He has taught courses on numerical methods, aerodynamics, and CFD software training. His work earned awards including the 2018 Grand Prix ONERA and the Digital Simulation Collaboration Award. His research includes industrial collaborations with SAFRAN and INRIA. Labs/Teams: Leads the YALES2 development team and contributes to the SIAME project for exascale computing. Active in the SIAME and MATI projects for aero-thermal systems and combustion modeling.

• Combustion Modeling
• Fluid Dynamics
• Computational Fluid Dynamics (CFD)
• +3 more

Dr Sanjay Sharma is an Associate Professor in Intelligent Autonomous Control Systems at the University of Plymouth . He leads the Autonomous Marine Systems Research Group , focusing on AI-driven navigation and control of marine vehicles. His work spans autonomous robotics, SLAM technology, swarm robotics , and marine energy systems . Key projects include UAE Ocean (enhancing ocean forecasting in the UAE) and sustainable fisheries management in the Indian Ocean. Education : B.Tech (Electrical Engineering) from IIT Kharagpur, M.Tech (Control Systems), and PhD (Systems & Control Engineering) from the University of Sheffield. He joined Plymouth in 2007 after roles with Indian Railways and academic collaborations. Research Interests : Application of AI in marine environments, autonomous vehicle control, underwater robotics, and sensor optimization. He emphasizes safe human-machine interaction and long-duration autonomous operations . Professional Roles : Member of the Institution of Mechanical Engineers , UK Automatic Control Council , and International Federation of Automatic Control . He coordinates training programs in oceanography and collaborates on offshore wind farm maintenance systems. Future Work : Expanding autonomous marine tech for sustainable energy, fisheries, and coastal management. He advocates for public trust in autonomous systems through transparency and rigorous testing .

• Intelligent Autonomous Control Systems
• Marine Robotics
• Artificial Intelligence
• +4 more

Dalila Fontes is a Full Professor at the Faculty of Economics of the University of Porto (FEP) and a board member of LIAAD (Laboratório de Inteligência Artificial e de Apoio à Decisão), a unit of INESC TEC since 2007. She holds a Ph.D. in Management Science from Imperial College London (2000), an MSc in Operational Research from the London School of Economics (1994), and a 5-year degree in Electrical Engineering and Computer Science from the University of Porto (1993). She has served as a Visiting Professor at the University of Florida (2007/08) and Texas A&M University (2015–16). Her research focuses on applying Operational Research and Artificial Intelligence techniques to solve complex management problems in production, logistics, transportation, and services, emphasizing combinatorial optimization. She has authored over 60 publications and coordinates research projects in these areas. She is an Associate Editor for the Journal of Combinatorial Optimization and Operations Research Forum (Springer). At FEP, she teaches Operational Research, Logistics, and Optimization courses in English to undergraduates, masters, and Ph.D. students. She has held administrative roles including Vice-Dean at FEP and currently directs ISFEP (FEP’s Research and Services Institute). Her work bridges academia and industry, addressing sustainable production systems and energy-efficient scheduling strategies.

• Operational Research
• Artificial Intelligence
• Logistics and Transportation
• +3 more

Edward Perry is an Associate Professor in the Department of Agricultural Economics at Kansas State University , specializing in industrial organization within agricultural supply chains, production economics, and environmental economics. His research focuses on the economic and environmental implications of genetically engineered crops, seed market dynamics, and climate change impacts on agriculture. B.A. Economics, St. Norbert College (2007) M.S. Applied Economics, Marquette University (2009) Ph.D. Economics, Iowa State University (2016) Dr. Perry's research examines how the adoption of genetically engineered crops interacts with tillage systems and pesticide use, while also analyzing market structure changes in corn and soybean seed industries. His recent publications explore agricultural climate adaptation, chemical substitution effects, and peer influences in technology diffusion. Current projects include studies on: Innovation dynamics in genetically engineered crops Federal crop insurance pricing and policy Climate temperature impacts on corn planting dates Contact: edperry@ksu.edu | Curriculum Vitae

• Industrial Organization
• Food and Agricultural Supply Chain
• Production Economics
• +3 more

Dani Harmanto is a Lecturer in Mechanical and Manufacturing Engineering at the College of Science and Engineering. His research focuses on interdisciplinary areas including materials science, renewable energy technologies, engineering education, and computational fluid dynamics. He has contributed to studies on solder joint reliability, sustainable paving materials, and IoT applications in fisheries. Key research outputs include analyses of design education in the 4th Industrial Revolution, thermal cycling effects on electronic components, and solar-powered cold storage systems. His work bridges theoretical engineering principles with practical applications in sectors like agriculture, construction, and maritime economics. Harmanto collaborates extensively, publishing in journals such as Advances in Materials and Processing Technologies and International Journal of Engineering & Technology . His studies often emphasize sustainability and innovation, addressing challenges in material substitution, energy efficiency, and urban development.

• Mechanical Engineering
• Materials Science
• Renewable Energy
• +6 more

Novak Nikolić is a Full Professor in the Department of Energy and Process Engineering at the University of Kragujevac's Faculty of Engineering. His primary expertise lies in Thermodynamics and Thermotechnics, with extensive research in renewable energy systems, solar thermal technologies, and building energy performance. His research spans sustainable design in agriculture, solar collector innovations, building energy efficiency, and renewable energy integration. Nikolić employs both theoretical modeling and experimental validation in his work, with particular focus on climate-specific solutions for Serbian and European contexts. His investigations cover diverse areas from solar tracking systems to the impact of urban shading on building energy consumption. Recent publications demonstrate a strong emphasis on practical applications of renewable energy technologies, including photovoltaic systems for residential use with electric vehicle integration, and optimization of solar thermal collectors through novel designs and materials. His work consistently addresses the intersection of energy efficiency, building physics, and sustainable technology implementation.

• Thermodynamics
• Renewable Energy
• Solar Energy Systems
• +3 more

Tore Markeset is a Professor of Mechanical Engineering specializing in operations and maintenance engineering at the University of Stavanger. He has held roles as Head of the Department of Safety, Economics and Planning and served as an adjunct Professor at the Arctic University of Norway (UiT, Tromsø). His research focuses on industrial asset management, condition monitoring, and lifecycle costing. Markeset holds a BSc in Petroleum Engineering (1985) and dual BSc/MSc in Mechanical Engineering (1989/1991) from the University of Minnesota. He earned his PhD in offshore technology from the University of Stavanger in 2003. His work emphasizes operational risk assessment, maintenance optimization, and Arctic operational challenges. He has authored over 150 publications (h-index: 23/Scopus 20), supervised 15 PhD students, and contributed to advancing asset management frameworks in offshore and energy sectors. Key projects include strategic digitalization of asset lifecycle management and risk-based inspection methodologies. Markeset’s awards include notable h-index metrics, reflecting his impactful research. He actively engages in industry-academia collaboration, addressing challenges in subsea production systems, wind farm operations, and cost-benefit analysis for petroleum projects.

• Industrial Asset Management
• Operation and Maintenance Engineering
• Condition Monitoring
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Jason Dahl is a Professor and Department Chair of Ocean Engineering at the University of Rhode Island . His research focuses on fluid-structure interactions , vortex-induced vibrations , hydrodynamics , and biomimetic propulsion for underwater systems. Education : Ph.D. in Ocean Engineering from MIT (2008), B.S. in Naval Architecture and Marine Engineering from Webb Institute (2002) Dr. Dahl’s recent publications emphasize advanced computational modeling (e.g., Lattice-Boltzmann methods), experimental fluid dynamics (e.g., vortex shedding analysis), and applications to offshore renewable energy systems such as floating wind farms. His work bridges theoretical fluid mechanics with practical engineering solutions for underwater vehicles and ocean infrastructure. Grants highlight collaborations with institutions like the Department of Energy, University of Connecticut, and Creare Inc., focusing on projects such as: Fluid-structure-interaction methodology for metamaterial coatings (2022) Optimization of floating offshore wind farms (2021) Machine-learning algorithms for undersea vehicle technology (2020) Ship motion prediction and hydrodynamic control systems (2017-2019) He actively accepts graduate students and mentors teams in experimental and computational hydrodynamics at URI’s Narragansett Bay Campus .

• Ocean Engineering
• Biomimetics
• Hydrodynamics
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Liviu Ivanov is an Assistant Professor at the Department of Electrical Engineering, Technical University of Iași. His work focuses on optimizing power systems, smart grids, renewable energy integration, and metaheuristic algorithms. He leads research in energy storage systems, microgrid management, and prosumer dynamics. His recent publications emphasize distributed generation optimization, transformer modernization, and neural network applications in medical diagnostics. Research Interests: Liviu’s research spans power systems optimization , smart grid technologies , and metaheuristic algorithms . He explores topics like distributed energy resource management, voltage control in LV networks, and prosumer-driven energy markets. His methodologies often combine computational intelligence (e.g., PSO, genetic algorithms) with real-world grid challenges. Publications: Over 50 articles since 2005, focusing on grid modernization, energy storage, and AI-driven solutions for power systems. Recent themes include load balancing, transformer fleet optimization, and EV charging coordination. Labs/Teams: Active in TUIASI’s Electrical Systems Optimization Group , collaborating on EU-funded grid resilience projects. His work bridges academia and industry through smart metering and grid management tools.

• Power Systems Optimization
• Smart Grid Technologies
• Renewable Energy Integration
• +3 more

Professor Theocharis Tsoutsos is a faculty member at the School of Chemical and Environmental Engineering, Technical University of Crete. His research focuses on sustainable energy systems, port infrastructure development, environmental impact assessment, and climate change mitigation. He holds a Professorship position and actively contributes to interdisciplinary projects addressing Mediterranean environmental challenges. His work integrates technical innovation with socio-economic considerations to achieve sustainability goals. Research interests include renewable energy integration in ports, lifecycle assessment of biomass utilization, climate adaptation strategies for urban areas, and hydrogen production technologies. Notable projects involve optimizing solar desalination plants in Crete and evaluating the socio-technical feasibility of offshore wind farms. Recent publications explore post-pandemic urban air quality trends, IoT security in critical maritime infrastructure, and socio-economic dimensions of energy transition. His work often employs GIS-based decision-support systems and multi-criteria analysis to address complex sustainability challenges. Tsoutsos collaborates with international partners on initiatives like the H2020 CIVITAS DESTINATIONS project, advancing sustainable mobility solutions in Mediterranean tourist cities. He advises on port modernization strategies emphasizing zero-emission targets and nearly-zero energy port concepts. Key contributions include frameworks for assessing tourism carrying capacity in ecologically sensitive zones and methodologies for evaluating wave energy potential in the Mediterranean.

• Renewable Energy Systems
• Sustainable Port Development
• Environmental Impact Assessment
• +3 more

Jie Li is an Associate Professor and Graduate Coordinator in the Department of Electrical & Computer Engineering at Rowan University, Henry M. Rowan College of Engineering. His research focuses on sustainable power systems, renewable energy integration, microgrid design, and demand-side management. He holds a Ph.D. in Electrical Engineering from Illinois Institute of Technology, and master’s and bachelor’s degrees in Systems Engineering and Electrical and Computer Engineering from Xi’an Jiaotong University. Education: Ph.D., Electrical Engineering, Illinois Institute of Technology M.S., Systems Engineering, Xi’an Jiaotong University B.S., Electrical and Computer Engineering, Xi’an Jiaotong University His research interests span operation and control of power systems, renewable energy integration, microgrid resilience, and smart grid technologies. Notable contributions include studies on dynamic modeling of thermal units, demand response capabilities of data centers and EVs, and hierarchical control frameworks for resilient microgrids. Recent publications highlight advancements in multi-agent reinforcement learning for energy management, cascading failure analysis in cyber-physical systems, and green hydrogen integration. His work emphasizes minimizing environmental impact while ensuring grid reliability and cost efficiency. Awards: National Science Foundation CAREER Award (2018) IEEE PES Best Conference Paper (2015) Dr. Li is actively involved in educational initiatives, including curricula development for the next-generation smart grid workforce. His team collaborates on projects funded by NSF and industry partners, focusing on innovation in energy systems and grid resilience.

• Sustainability
• Renewable Energy
• Power Systems
• +3 more

Carlo Cossu is a Senior CNRS Researcher at Centrale Nantes, affiliated with the LHEEA Laboratory. He holds a PhD from La Sapienza University in Rome and has conducted research at École Polytechnique before joining Centrale Nantes in 2017. His primary research focus is hydrodynamic stability, with current emphasis on optimizing wind farm performance. Cossu’s work bridges fluid dynamics and renewable energy applications, contributing to advancements in sustainable energy systems. Education: PhD, La Sapienza University, Rome Research Interests: Cossu specializes in hydrodynamic instability mechanisms and their application to wind energy optimization. His studies aim to enhance wind turbine efficiency and array configurations through computational fluid dynamics and stability analyses. He actively contributes to the field of environmental fluid mechanics, addressing challenges in energy sustainability. Grants & Advising: While specific grants or student advisees are not detailed here, his affiliation with LHEEA suggests involvement in collaborative projects and supervision of research initiatives. The lab provides advanced facilities for experimental and computational fluid dynamics studies. Labs/Teams: Member of the LHEEA Laboratory, a multidisciplinary center focusing on hydrodynamics, energy systems, and environmental engineering at Centrale Nantes.

• Hydrodynamic Stability
• Renewable Energy
• Wind Farm Optimization
• +3 more

Imran Tusar is an Assistant Professor in the College of Technology, Architecture, and Applied Engineering at Bowling Green State University (BGSU), Ohio. He holds a Ph.D. in Industrial Engineering from Louisiana State University (2024), an MS in Manufacturing Engineering from Bangladesh University of Engineering and Technology (2019), and a BS in Industrial and Production Engineering (2016). Previously, he served as Assistant Professor (2019–2024) and Lecturer (2016–2019) at Dhaka University of Engineering & Technology. His industry experience includes a Senior Associate role at Kaufman Hall & Associates in Chicago (2023). Dr. Tusar’s research focuses on optimizing manufacturing systems, supply chain logistics, and offshore wind energy operations. Key areas include mathematical programming, facility design, statistical process control, and lean manufacturing. His work addresses challenges in offshore wind farm maintenance scheduling, vessel fleet optimization, and grinding process parameters for advanced materials. Teaching expertise spans courses in facility design, logistics systems, supply chain management, and operations research. His 20+ peer-reviewed publications emphasize interdisciplinary solutions in energy systems, machining optimization, and operational cost reduction. Research trends highlight innovative applications of operations research in renewable energy and advanced manufacturing processes. Awards: No specific awards listed. Advising & Grants: Details on student advising or grants not explicitly stated in the text. Labs/Teams: No specific lab affiliations mentioned.

• Modeling of Manufacturing and Supply Chain Systems
• Mathematical Programming
• Operations Research
• +5 more

Prof. Madeleine Gibescu is a Professor at Utrecht University's Faculty of Geosciences, affiliated with the Copernicus Institute of Sustainable Development in the Department of Energy and Resources. Her research focuses on energy transition pathways, sustainable development, power systems optimization, and renewable energy integration. She leads major projects like WIMBY (Wind in My Backyard) exploring social acceptance of large wind installations and E-Regio developing local energy markets. Her research interests concentrate on developing resilient energy infrastructure, grid modernization, and market mechanisms for renewable integration. She investigates optimization techniques for electricity markets, offshore wind systems, and smart grid technologies with emphasis on SDN-enabled IoT networks and virtualization of grid control systems. Gibescu's recent publications demonstrate strong trends in renewable energy systems optimization, particularly focusing on offshore wind integration, market design for variable renewables, grid resilience, and storage solutions. Her work consistently incorporates advanced computational methods including deep learning forecasting, robust optimization, and virtualization frameworks. She advises PhD candidates including Hsing-Hsuan Chen, Luis Eduardo Ramirez Camargo, and Leanda Vedder on projects related to sustainable energy systems. As principal investigator for Horizon Europe projects, she coordinates interdisciplinary teams developing novel solutions for energy transition challenges.

• Energy Transition
• Sustainable Development
• Power Systems
• +2 more