جست‌وجوی استاد و پژوهشگر

Viney Anejaمشاهده پروفایل

استاد

• Environmental Science
• Climate Change
• Air Quality
• +۴ مورد دیگر

Viney Aneja is a Professor in the Department of Marine, Earth, and Atmospheric Sciences at North Carolina State University (NC State), with a secondary appointment in the Department of Forestry and Environmental Resources since 2001. He holds a B.Tech from IIT Kanpur (1971), and M.S. and Ph.D. from NC State (1975, 1977). His career includes industrial research roles at General Electric and Northrop Services before joining academia in 1987. Education: B. Tech, Chemical Engineering, IIT Kanpur (1971) M.S., Ph.D., Chemical Engineering, NC State (1975, 1977) MBA, Planning & Control, Union College (1986) Research Interests: Dr. Aneja focuses on environmental science and climate policy, particularly emissions from agriculture (e.g., CAFOs), wildfires, and their impacts on air quality and climate. His work integrates field measurements, satellite data, and modeling to address policy-relevant questions. Key areas include ammonia emissions, ozone formation, and nitrogen cycle dynamics. Professional Service: He has served on numerous advisory boards including the EPA’s Board of Scientific Counselors (2014–present), USDA Agricultural Air Quality Task Force (2001–2008), and North Carolina Governor’s Hazardous Materials Task Force (2006–2007). He currently chairs the editorial board of Atmosphere and serves on multiple international journal boards. Awards: North Carolina’s highest civilian honor (2007) Frank A. Chambers Award (1998) World’s top 2% scientists (Stanford, 2021) Rossby Visiting Fellow (2015) Teaching & Mentorship: Teaches courses on weather/climate and air quality. Advised 20 Ph.D. students, 45 M.S. students, and 9 postdocs. His research program is among the nation’s leading in agricultural air quality and climate science.

• Floating offshore wind energy
• Airborne wind energy
• Fluid-structure interactions
• +۴ مورد دیگر

Dr. Axelle Viré is an Associate Professor in the Flow Physics and Technology department within the Faculty of Aerospace Engineering at Delft University of Technology. Her research focuses on advanced wind energy systems, particularly floating offshore wind and airborne wind energy technologies. Her research interests span multiple areas of renewable energy systems: Floating offshore wind energy systems Airborne wind energy conversion Fluid-structure interactions in wind turbine systems High-fidelity numerical modeling of complex flow phenomena Turbulence modeling for wind energy applications Dr. Viré's recent publications demonstrate a strong focus on wind turbine wake control, vortex dynamics, and aerodynamic optimization. Her work combines experimental approaches with advanced numerical modeling to address key challenges in wind energy technology. She has made significant contributions to understanding wake recovery processes, active wake control strategies, and the aerodynamic behavior of floating offshore wind turbines under dynamic conditions. Among her notable achievements is the Delft Education Fellowship awarded in 2023, recognizing her contributions to academic education. She has supervised multiple students and is actively involved in research projects advancing wind energy technology. Dr. Viré is currently leading the active research project 'Accelerating Dutch innovations in offshore renewables through data-driven hybrid labs' (2024-2031) and has previously contributed to significant projects including AWESCO (Airborne Wind Energy System Modelling, Control and Optimisation) and NUMIWING (Numerical modelling of inflatable airborne wind energy systems). She maintains an active public engagement profile, with multiple media appearances discussing wind energy innovations and has participated in events such as Aerospace Diversity Day, demonstrating commitment to both research excellence and inclusive academic practices.

Haidar Sametمشاهده پروفایل

پژوهشگر

• Power Systems
• Electrical Engineering
• Renewable Energy
• +۴ مورد دیگر

Haidar Samet is a Researcher in the Department of Electrical Engineering at Eindhoven University of Technology, focusing on power systems, electric arc furnaces, and fault detection. He previously held academic roles at Shiraz University, including Professor (2018–2020), Head of Department of Power and Control (2017–2019), Associate Professor (2014–2018), and Assistant Professor (2008–2014). His research bridges electrical engineering fundamentals with practical applications in renewable energy and grid reliability. Research Interests: Electric Arc Furnace Modeling and Optimization Fault Detection in Power Systems and Photovoltaic Systems Grid Protection Mechanisms Renewable Energy Integration and Smart Grid Technologies Power Quality Analysis Publications highlight advancements in arc fault modeling, transformer protection algorithms, and renewable energy system optimization. His work frequently addresses challenges in grid stability, energy efficiency, and predictive maintenance. No scientific awards or grants were explicitly mentioned in the provided materials.

• Renewable Energy Systems
• Fluid Dynamics
• Erosion Prediction in Turbomachinery
• +۳ مورد دیگر

Paolo Venturini is an Associate Professor at Sapienza University of Rome , specializing in fluid dynamics, renewable energy systems, and erosion prediction in turbomachinery. His research focuses on integrating computational modeling with experimental validation to address challenges in energy efficiency, material durability, and sustainable engineering solutions. Key research interests include Hydrogen production via floating photovoltaic systems Cavitation-induced damage in tidal turbines Water washing efficiency in axial compressors Biomass gasification for energy recovery Rain erosion on wind turbine blades His work bridges mechanical engineering and environmental science, with applications in renewable energy integration, waste-to-energy systems, and aerospace thermal management. Recent studies emphasize interdisciplinary approaches, including mental health assessment tools for healthcare staff. Publications span 20+ years, with notable contributions to Energy , Applied Thermal Engineering , and Renewable Energy . Ongoing projects explore hybrid energy systems, plasma-based wastewater purification, and predictive modeling for turbine blade aging.

Wayne W. Weaverمشاهده پروفایل

استاد

• Power Electronics
• Electric and Hybrid Vehicles
• Non-Linear Control Systems
• +۷ مورد دیگر

Wayne W. Weaver is a Professor of Mechanical and Aerospace Engineering at Michigan Technological University (MTU), serving as Associate Chair and Director of Graduate Studies. He also holds an affiliation as a Professor in the Electrical and Computer Engineering department. Weaver earned dual BS degrees in Electrical and Mechanical Engineering from GMI Engineering & Management Institute (1997), followed by MS and PhD in Electrical Engineering from the University of Illinois at Urbana-Champaign. His research focuses on power electronics, electric vehicle systems, nonlinear control strategies, and microgrid technologies, with particular emphasis on renewable energy integration and grid resilience. His professional experience includes roles at Caterpillar Inc. (1997-2003) and the US Army Corps of Engineers ERDC (2006-2008). He is a registered professional engineer in Illinois. Key research areas include microgrid stabilization, optimal control of energy systems, and wave energy converter optimization. Weaver has contributed to advancements in distributed energy resources, pulsed-power load management, and exergy-based control methodologies. Teaching responsibilities include courses on hybrid electric vehicle propulsion and linear systems theory. His work often bridges theoretical control frameworks with practical applications in maritime, military, and aerospace systems. Despite the lack of listed awards, his extensive publication record reflects impactful contributions to energy systems research. He collaborates with labs focused on renewable energy integration and resilient power grid architectures.

John Dabiriمشاهده پروفایل

استاد

• Fluid Dynamics
• Bioinspired Engineering
• Renewable Energy
• +۳ مورد دیگر

Dr. John Dabiri is the Centennial Professor of Aeronautics and Mechanical Engineering at Caltech, awarded the National Medal of Science in 2025 for achievements in aeronautical and biological engineering. His research spans bioinspired fluid dynamics, wind energy optimization, and biohybrid robotics for ocean exploration. Innovations include strategically clustered vertical-axis wind turbines for enhanced farm efficiency, biohybrid jellyfish robots for deep-sea monitoring, and fundamental contributions to vortex dynamics. Current projects involve visual anemometry using natural vegetation and quantum-enhanced flow sensing. Honors include the MacArthur Fellowship, Waterman Award, and membership on the President's Council of Advisors on Science and Technology. Leads the Dabiri Lab with over 30 PhD students and postdocs. Research Areas: Wind farm aerodynamics inspired by fish schooling Ocean mixing by swimming organisms Electromechanical enhancement of marine animals Environmental sensing via flow-structure interactions Awards: National Medal of Science (2025) G. Evelyn Hutchinson Award (2023) Alan T. Waterman Award (2020) MacArthur Fellowship (2010)

• Wind Energy Systems
• Renewable Energy
• Energy Systems Engineering
• +۴ مورد دیگر

Matti Juhani Koivisto is a Senior Researcher at the Department of Wind and Energy Systems at the Technical University of Denmark (DTU). His work focuses on renewable energy systems integration, particularly wind power modeling and analysis within large-scale energy systems. His research expertise spans several critical domains in renewable energy: Wind Energy Systems Engineering (100%) Wind Power Engineering (89%) Variable Renewable Energy Integration (80%) Power Engineering (56%) Time Series Analysis in Energy Systems (37%) Energy Engineering (35%) Dr. Koivisto's research addresses fundamental challenges in renewable energy integration, with particular emphasis on wind power forecasting, variability analysis, and the impacts of climate change on renewable resources. His work bridges theoretical modeling with practical energy system applications, contributing to more reliable and efficient integration of renewable energy sources into power grids. His recent publications demonstrate a strong focus on offshore wind energy, hybrid power plants, and advanced modeling techniques for wind farm generation. His work on increasing the resolution of solar and wind time series has been particularly influential in energy system modeling, addressing critical data requirements for high renewable penetration scenarios. Dr. Koivisto contributes significantly to UN Sustainable Development Goals related to affordable and clean energy (SDG 7) and climate action (SDG 13), with research directly addressing the technical challenges of transitioning to sustainable energy systems. He is actively involved in several major international research projects including AWETRAIN (Airborne Wind Energy Training), DTWO (Federated Digital Twins for Wind-Offshore), and GREAT (GRid Enhancement for Ancillaries in Tomorrow's power systems), where he serves as both project participant and PhD supervisor.

Turaj Ashuriمشاهده پروفایل

استاد

• Multiphysics Modeling
• Design Optimization
• Renewable Energy Systems
• +۵ مورد دیگر

Dr. Turaj Ashuri is an Assistant Dean of Research Initiatives and Graduate Programs (interim) at the College of Engineering and Engineering Technology, Kennesaw State University. He previously held faculty positions at the University of Texas at Dallas and Arkansas Tech University, where he served in leadership roles such as Director of the Interdisciplinary Research Center and Graduate Program Director. Before academia, he accumulated over a decade of industry experience as a Structural Design Engineer, Research Engineer, and R&D Project Manager. PhD, Aerospace Engineering, Delft University of Technology MSc, Aerospace Engineering, Sharif University of Technology BSc, Mechanical Engineering, Tehran Azad University Postdoctoral Research Fellowship, University of Michigan - Ann Arbor Dr. Ashuri's research focuses on Multiphysics Modeling and Design Optimization , spanning theoretical and applied domains. His work develops numerical methods for unsteady flow fields, nonlinear composite structures, and machine learning algorithms, while applying these techniques to soft robots, unmanned aerial vehicles, and renewable energy systems. He actively explores Uncertainty Quantification and Optimal Control in energy systems, with particular emphasis on wind turbine technology and biomedical soft robotics. His recent publications demonstrate expertise in Wind Farm Optimization (2016-2018), Soft Robotics (2020), and Hydrogen Fuel Cell Vehicles (2019). These works intersect Computational Design , Control Theory , and Renewable Energy Systems , reflecting his multidisciplinary approach. Scientific recognitions include: Associate Fellow, American Institute of Aeronautics and Astronautics (AIAA) Chair, 2023 AIAA Aviation Forum Discipline Committee Dr. Ashuri's lab at KSU conducts research in Multidisciplinary Design Optimization and Machine Learning applications for intelligent mechanical systems. The lab receives funding from NASA and NIH , supporting work on soft robots, wind turbine engineering, and energy systems optimization.

Pierre-Elouan Mikael Réthoréمشاهده پروفایل

پژوهشگر

• Wind Turbine Engineering
• Computational Fluid Dynamics
• Offshore Wind
• +۷ مورد دیگر

Pierre-Elouan Mikael Réthoré is a Researcher at the Department of Wind and Energy Systems of the Technical University of Denmark (DTU). His work focuses on wind energy systems, particularly in Wind Turbine Engineering , Computational Fluid Dynamics , and Offshore Wind technologies. He leads the System Engineering and Optimization section within the Wind Energy Systems Division .

Srinivasa Raghavendra Bhuvan Gummidiمشاهده پروفایل

استادیار

• Algorithms for Geographical Information Systems
• Database Systems
• Optimization Algorithms
• +۷ مورد دیگر

Srinivasa Raghavendra Bhuvan Gummidi is an Assistant Professor at the Department of Green Technology (IGT) within the University of Southern Denmark . His research focuses on Circular Economy , Building Stock Modeling , and Environmental Impact Assessment through advanced Geographical Information Systems (GIS) and Deep Learning techniques. Recent work includes high-precision building material identification and spatiotemporal tracking of urban material stocks. Research Keywords : Algorithms for Geographical Information Systems, Optimization Algorithms, Building Stock Modeling, Circular Economy, Deep Learning, Environmental Impact Assessment His peer-reviewed publications (2025–2015) span topics from urban material sustainability to spatial crowdsourcing systems . He teaches Geographic Information Systems for Engineering Sustainability (2024) and collaborates internationally on urban development and resource management projects.

Paul van der Laanمشاهده پروفایل

پژوهشگر

• Wind Energy
• Computational Fluid Dynamics
• Atmospheric Boundary Layer
• +۳ مورد دیگر

Paul van der Laan is a Senior Researcher at the Department of Wind and Energy Systems, Technical University of Denmark (DTU). His work focuses on wind energy systems, particularly computational fluid dynamics (CFD) modeling of wind turbine wakes, atmospheric boundary layers, and wind farm flow optimization. He actively contributes to research projects and publications in wind energy, with a focus on Reynolds-averaged Navier-Stokes (RANS) simulations and turbulence modeling. Research Interests: Wind energy systems, CFD modeling, atmospheric boundary layers, wind turbine wake analysis, turbulence modeling, and wind farm parametrization. Projects: Involved in initiatives like Train2Wind (Training School in Entrainment of Wind Power) and EERA-DTOC (Design Tools for Offshore Wind Farm Clusters). Supervision: Supervises PhD students in wind energy-related research, including M. C. Baungaard and others. Collaborations: Works with European Union institutions, DTU colleagues, and international researchers on wind farm CFD validation. Recent publications emphasize RANS-based wake modeling, turbulence intensity adjustments, and wind farm cluster simulations. His methodologies enhance predictive accuracy for wind turbine interactions and energy production efficiency. Paul’s contributions align with UN Sustainable Development Goals for renewable energy development. He is currently active in conference presentations and scientific supervision, with a focus on improving wind farm simulation tools like PyWake. No explicit scientific awards are mentioned in the provided text.

• Wind Energy
• Turbulence
• Experimental Fluid Mechanics
• +۴ مورد دیگر

Ingrid Neunaber is an Assistant Professor in Fluid Mechanics at the Engineering Mechanics Department , KTH Royal Institute of Technology , since May 2025. Her expertise bridges fundamental turbulence research and applied wind energy systems.

• Electrical Power Engineering
• Renewable Energy Integration
• Electromagnetic Transients
• +۳ مورد دیگر

Mebtu Bihonegn Beza is an Associate Professor at Chalmers University of Technology, Sweden, specializing in Electrical Power Engineering . His research focuses on power electronic converters, grid stability analysis, and HVDC transmission systems, particularly for offshore wind farm integration. Education: M.Sc., Lic.Eng., and Ph.D. in Electrical Power Engineering from Chalmers (2009, 2012, 2015) Key Research Themes: Grid-forming converters, electromagnetic transients, renewable energy system stability, and impedance/resonance analysis Recent publications (2024–2023) analyze advanced control strategies for converters, including small-signal stability, multiport architectures, and inertia emulation techniques. He collaborates on projects related to frequency-based stability tools and PhD programs with Addis Ababa University. Projects: Frequency-based analysis tool for converter-dominated grids (Swedish Energy Agency, 2023–2027) PhD program collaboration with Addis Ababa University (2018–2025) Contact: mebtu.beza@chalmers.se

• Renewable Energy
• Sustainable Energy Systems
• Hydrogen Energy
• +۷ مورد دیگر

Professor Tim Finnigan is a faculty member and Head of School in the School of Engineering at the University of Tasmania. He is actively involved in research, supervision, and academic leadership, with a focus on renewable energy and sustainability. His work is supported by ongoing grants and collaborations in green hydrogen and wave energy technologies. Education: PhD in Environmental Engineering, University of Western Australia (1996–1999) MASc in Civil Engineering, University of British Columbia (1992–1994) BASc in Engineering Physics, University of British Columbia (1986–1991) His research interests span renewable energy, hydrogen technologies, electricity markets, wave and tidal energy, fluid mechanics, and sustainable engineering. He applies principles from physical oceanography and mechanical design to develop practical energy solutions, particularly for remote communities. The recent publications reflect a strong trend in ocean-based renewable energy, especially wave and tidal systems, with focus on hydrodynamics, control strategies, and biomimetic designs. His work integrates experimental, computational, and field-based approaches to improve energy capture and system efficiency. No scientific awards are listed in the provided text. Professor Finnigan is currently supervising two doctoral students in areas of green hydrogen and acoustic sensing. He leads a funded project on green hydrogen for remote power supply (2023–2026), funded by 1376775 B.C. LTD and the University of Tasmania, with a total of $400,000. This project aims to integrate renewable energy into remote systems using hydrogen technologies to reduce emissions and costs. He is associated with no specific lab or team mentioned in the text, but his research outputs and grants suggest leadership in sustainable energy systems and ocean engineering initiatives at UTAS.

Mohammad REIHANEHمشاهده پروفایل

استادیار

• Operations Research
• Logistics and Supply Chain Management
• Optimization Algorithms
• +۳ مورد دیگر

Professor Mohammad REIHANEH is an Assistant Professor of Operations Management at IÉSEG School of Management. He holds a Ph.D. in Operations Management from the University of Massachusetts (USA), an MSc in Industrial Engineering from Isfahan University of Technology (Iran), and a BSc in Applied Mathematics from Ferdowsi University of Mashhad (Iran). His research focuses on optimization algorithms, vehicle routing problems, scheduling theory, and logistics systems. He is a member of the LEM research group and has published extensively in top-tier journals such as the European Journal of Operational Research and the Journal of the Operational Research Society. Education: 2018: Ph.D., Operations Management, University of Massachusetts, USA 2012: MSc, Industrial Engineering, Isfahan University of Technology, Iran 2009: BSc, Applied Mathematics, Ferdowsi University of Mashhad, Iran Research Interests: Mohammad’s work emphasizes practical applications of optimization in logistics and healthcare systems. He develops exact algorithms (e.g., branch-and-price) and heuristic methods for complex routing problems, maintenance scheduling, and resource allocation in healthcare settings. His contributions bridge theoretical advancements in operations research with real-world operational challenges in industries like renewable energy (offshore wind farms) and humanitarian logistics. Publications: His recent work addresses cutting-edge challenges such as multi-period offshore wind farm routing, hemodialysis center scheduling, and food bank distribution optimization. He frequently collaborates with international researchers on projects involving vehicle routing, reliability engineering, and control chart design for manufacturing systems. Advising & Grants: No specific student advisees or grant details are listed in the provided materials.