جستجوی استاد راهنمای دانشگاهی

• Smart Energy Systems
• Energy System Modelling
• Low-Carbon Energy Systems
• +۹ مورد دیگر

Dr. Dawei Qiu is a Lecturer in Smart Energy Systems within the Department of Engineering at the University of Exeter, joining in September 2024. Prior to this, he was a Research Fellow and Research Associate at Imperial College London, where he contributed to major energy system research projects. Education: B.Eng. in Electrical and Electronic Engineering, Northumbria University (2010–2014) M.Sc. in Power System Engineering, University College London (2014–2015) Ph.D. in Electrical Engineering, Imperial College London (2016–2020) His research focuses on advanced modeling of low-carbon energy systems, integrating electricity, heat, gas, and transportation. He specializes in market-driven methodologies to assess energy cost, carbon emissions, and ancillary services. A key innovation in his work is the application of AI-driven reinforcement learning to energy system problems, particularly in smart grids, microgrids, and demand response. His expertise extends to energy storage, electric vehicles, and hydrogen systems. The 15 most recent publications reflect a strong trend toward integrating artificial intelligence with energy system optimization, particularly using reinforcement learning for dynamic pricing, multi-agent trading, and autonomous control. The research spans multiple subfields including market design, resilience analysis, and decarbonisation, with a strong emphasis on real-world applicability in future energy systems. Dr. Qiu has contributed to several high-impact research projects, including EU Horizon 2020’s TradeRES and R2D2, and EPSRC’s IDLES and NetworkPlus. He is currently the Principal Investigator (PI) on the ARIA-funded project Trustworthy and Safe AI for Energy Systems , highlighting his leadership in cutting-edge energy-AI integration. He actively supervises research and welcomes PhD applications. His work is supported by strong publication output in top journals such as IEEE Transactions and Applied Energy, as well as top AI conferences like IJCAI. He is affiliated with Google Scholar and ResearchGate, and his research is shaping the future of intelligent, resilient, and sustainable energy infrastructures.

• Agricultural and Biological Sciences
• Plant Community
• Nitrogen Deposition
• +۴ مورد دیگر

Paul Goedhart is a Researcher at Wageningen University & Research specializing in Agro Field Technology Innovations . His work bridges agricultural science with advanced statistical modeling. Research Interests : Goedhart focuses on environmental impacts of nitrogen deposition, seed aging dynamics, and precision agriculture technologies. His statistical expertise includes equivalence testing and power analysis, applied to ecological and agricultural challenges. Notable Contributions : He develops tools like the AMIGA Power Analysis software and has published extensively on plant community recovery, habitat responses to pollution, and pesticide drift mitigation. Collaborations span Europe, covering topics from Martian potato cultivation to ammonia emission modeling. Research Output Trends : Over 171 publications reflect interdisciplinary work combining ecology , agricultural engineering , and statistical methods , with recurring themes in ecosystem services , environmental safety assessment , and data-driven agronomy .

• Mechatronic Simulation
• Virtual Sensing
• Flexible Multibody Simulation
• +۳ مورد دیگر

Frank Naets is a Senior Lecturer at the Department of Mechanical Engineering , part of the Faculty of Engineering Sciences at KU Leuven . He contributes to the Mechatronic System Dynamics (LMSD) research group and is affiliated with divisions including the Dynamics Division, DYNA Subdivision, and Leuven.AM – KU Leuven Institute for Additive Manufacturing. His roles span teaching, research coordination, and membership in academic councils like the Faculty Council of Engineering Sciences and Departmental Council of Mechanical Engineering. Research Areas: Mechatronic Simulation, Virtual Sensing, Flexible Multibody Dynamics, Nonlinear Model Order Reduction His research focuses on system-level modeling of mechatronic systems, integrating virtual sensing and digital twin technologies for force estimation, vibration analysis, and structural monitoring. Key applications include electric vehicle drivetrains , hydrogen fuel cells , and rotary machinery . Recent projects highlight his expertise in sensor placement algorithms , Kalman-based state estimation , and experimental validation of material properties. He supervises students like Alessandro Zucchini and Raffaele De Gregoriis while collaborating on international conferences such as ECCOMAS Multibody 2025 and NVHH 2025.

• Aeroacoustics
• Fluid Mechanics
• Airfoil Self-Noise
• +۴ مورد دیگر

Francesco Avallone is a Full Professor in Fluid Dynamics at the Polytechnic University of Turin since May 2023. He is affiliated with the Department of Mechanical and Aerospace Engineering (DIMEAS), where he conducts research in aeroacoustics and fluid mechanics. Previously, he was a Tenured Assistant Professor at Delft University of Technology, where he also completed a two-year PostDoc. His academic journey began at the University of Naples Federico II, where he earned both his MSc and PhD degrees, with doctoral research focusing on non-intrusive techniques for boundary layer transition in hypersonic flows. His research focuses on understanding noise generation mechanisms and developing noise reduction technologies, with particular expertise in: Airfoil self-noise Rotor and propeller noise Acoustic liners HVAC and fan noise Noise propagation in complex environments Wind turbine noise His recent publications (2024-2025) reveal a strong emphasis on acoustic liners, propeller/rotor noise mechanisms, and noise reduction technologies across aerospace and industrial applications. His work consistently combines experimental and computational approaches to address fundamental challenges in fluid-acoustic interactions, particularly focusing on turbulence-ingestion noise prediction, impedance education methods, and noise source identification in various engineering contexts. His major scientific recognition includes: ERC Starting Grant (2022) for studying flow acoustic interaction over acoustic liners Professor Avallone has supervised more than 10 PhD candidates, with 6 having already obtained their PhDs. His current doctoral students include Mario Ali', Ludovic Ambrosiani, Angelo Paduano, Marco Picillo, and Francesco Bellelli. He leads significant research projects including LINING (2023-2028), funded by the EU's Horizon 2020 program, and AARC2024 (2024-2025), focusing on high-fidelity simulations of acoustic liners. He also serves as the Scientific Responsible for the Erasmus Mundus Master in Aeroacoustics (2024-2025). His research is conducted within the Boundary Layer Flow, Separation and Control group at DIMEAS, where he applies both experimental and computational techniques to advance understanding of fluid dynamics phenomena with practical applications in aerospace engineering, automotive design, and sustainable energy systems.

• Galaxy Formation
• Black Hole Growth
• High-Redshift Astrophysics
• +۳ مورد دیگر

Roberto Maiolino is a Professor of Experimental Astrophysics at the University of Cambridge and an Honorary Professor at University College London . He serves as a Royal Society Research Professor and has held leadership roles such as Director of the Kavli Institute for Cosmology (2016–2021). His research focuses on the formation and evolution of galaxies and black holes, utilizing cutting-edge telescopes like the James Webb Space Telescope (JWST) , MOONS , and ANDES . Key research areas include the discovery of massive black holes in the early Universe, chemical enrichment in galaxies, AGN-driven outflows, star formation in extreme environments, and the role of dust in cosmic evolution. His work bridges observational astrophysics with theoretical models, emphasizing feedback mechanisms that quench star formation and shape galaxy properties. His recent publications highlight trends in high-redshift galaxy studies , AGN feedback , and metallicity diagnostics , often leveraging JWST and ALMA for detailed spectroscopic analysis. Notable projects include the JADES Origins Field and BlackTHUNDER surveys, focusing on galaxy assembly and black hole growth. Scientific awards and honors include: Order of the Star of Italy (2018), a knighthood by the Italian President Fellow of the Royal Society (2022) Blaauw Honorary Professorship at the University of Groningen (2024) Honorary Professor at University College London (2019)

• Timber connections
• Finite-element simulations
• Analytical methods
• +۱۰ مورد دیگر

Haris Stamatopoulos is an Associate Professor at the Department of Structural Engineering, Faculty of Engineering, Norwegian University of Science and Technology (NTNU). His research focuses on advanced timber connections using threaded rods, screws, and dowel-type fasteners, combining experimental testing, finite-element simulations, and analytical methods. Research Interests: Serviceability and ductility in timber buildings, innovative connection systems, dynamic testing of timber components. Teaching: Courses include Timber Structures 1 (TKT4211), Timber Structures 2 (TKT4212), and Construction Materials (TKT4240). Research Groups: Timber Structures Group and KMEK Group at NTNU. His work emphasizes parametric analysis, stiffness/resistance optimization, and moisture/fatigue effects in timber systems. Recent publications explore dynamic modeling, connection behavior, and sustainability in structural systems.

Jørgen Asbøll Keplerمشاهده پروفایل

دانشیار

• Composite Materials
• Computational Mechanics
• Solid Mechanics
• +۳ مورد دیگر

Jørgen Asbøll Kepler serves as an Associate Professor in the Solid and Computational Mechanics section of the Department of Materials and Production at the Faculty of Engineering and Science, Aalborg University, Denmark. His office is located at Fibigerstræde 16, 3205, 9220 Aalborg Øst, with direct contact via email jk@mp.aau.dk and phone +4599409297. He maintains an active ORCID profile (0000-0002-3681-1521) and is engaged in both teaching and research within composite structural engineering. Kepler's research centers on solid mechanics and computational modeling of composite materials, with emphasis on wind turbine blade production, sandwich structure integrity, and fabric draping processes. Key interests include failure analysis under impact loading, flexural rigidity measurement, and manufacturing optimization for glass fiber composites. His work bridges theoretical mechanics with industrial applications, particularly leveraging computer simulation for structural performance validation in renewable energy systems. Recent publications (2021-2023) reveal a concentrated focus on draping process innovation for wind turbine blades, utilizing virtual prototyping and MATLAB-based tools to optimize manufacturing parameters. Themes consistently address material behavior during production, structural testing methodologies, and computational solutions for composite layup challenges—highlighting his niche in translating mechanical theory into practical production engineering advancements. Scientific Awards: No scientific awards, prizes, or fellowships are documented in the provided text. Kepler has participated in 11 research projects (5 completed, 6 active) since 2002, primarily funded through academic grants. Notable projects include failure/fatigue analysis of sandwich structures under impact loading, local effect studies in composite loading conditions, and integrated design of lightweight composites. Collaborators consistently feature O. T. Thomsen, E. Bozhevolnaya, and J. Jakobsen. The text specifies no student advising relationships or formal grant amounts. He operates within the Solid and Computational Mechanics research group at Aalborg University, focusing on experimental validation (e.g., bias extension tests) and computational modeling of composite structures. The team specializes in wind turbine blade manufacturing challenges, with recent work targeting draping course optimization and structural performance prediction for advanced laminates.

• Climate Science
• Atmospheric Science
• Extreme Weather Events
• +۳ مورد دیگر

Dr. Jiali Wang is an atmospheric scientist in the Environmental Science Division at Argonne National Laboratory, holding fellowships with the Northwestern-Argonne Institute of Science and Engineering (NAISE) at Northwestern University and the Center for Advanced Study of Environmental (CASE) at the University of Chicago. Since earning her Ph.D. in Atmospheric Science in 2012, she has established herself as a leading researcher in climate impact assessment and high-resolution modeling. Her educational background centers on her 2012 Ph.D. in Atmospheric Science, which provided the foundation for her expertise in climate dynamics and numerical modeling. Dr. Wang specializes in understanding climate and extreme climate variability and their impacts on water, energy, and infrastructure systems. Her research integrates high-resolution numerical modeling, advanced data analysis, and machine learning to address critical challenges in climate resilience. Key focus areas include regional climate modeling for extreme events, infrastructure vulnerability assessment, and renewable energy applications. Her methodological innovations bridge atmospheric science with practical engineering solutions for climate adaptation. Analysis of her 15 most recent publications reveals a strong trajectory in convection-permitting regional climate modeling, with increasing emphasis on coupled atmosphere-ocean-land systems and machine learning applications. Her work consistently targets high-impact areas including North Atlantic cyclones, Great Lakes regional climate, and infrastructure resilience, demonstrating a strategic alignment with national energy and security priorities. Dr. Wang's exceptional contributions have been recognized through numerous prestigious awards: Argonne Pacesetter Award (2019) HPC Innovation Excellence Award for Risk and Resiliency of Infrastructure Southeastern USA for AT&T (2019) R&D 100 Finalist for Climate Risk and Resilience Analysis technology (2019) Argonne Director’s Award for climate impacts analysis on AT&T infrastructure (2020) Consecutive Impact Argonne Awards (2021-2023) Delivering Impact Award for Commercialization Excellence (2024) As principal investigator and co-investigator, she has secured substantial funding from diverse sources including the Department of Energy (Office of Energy Efficiency and Renewable Energy, Biological and Environmental Research), Department of Defense, Department of Homeland Security, industrial partners (notably AT&T), and Argonne's Laboratory Directed Research and Development program. These projects consistently translate climate science into actionable risk assessment frameworks for critical infrastructure. Within Argonne's Environmental Science Division, Dr. Wang leads collaborative research initiatives that leverage the laboratory's advanced computing resources and national user facilities. Her work integrates closely with university partners through NAISE and CASE, creating a robust research ecosystem focused on solving complex climate-infrastructure challenges through interdisciplinary approaches.

• Photovoltaic Systems
• Smart Grids
• Renewable Energy Integration
• +۶ مورد دیگر

Paolo Di Leo is an Associate Professor at the Polytechnic University of Turin within the Department of Energy (DENERG). His research focuses on photovoltaic systems , smart grids, and renewable energy integration, aligning with the IIND-08/B - Electrical Power Systems scientific sector. Research interests include: Photovoltaic Systems Smart Grids Wind Energy Energy Storage Grid Parity Analysis He contributes to the IEEE Transactions on Industry Applications and Solar Energy journals. Recent publications address self-sufficiency in PV systems, voltage control in low-voltage grids, and thermal-electrical modeling of PV modules. Teaching roles: Course Lecturer for Electrical System Design (2019–2025) Course Collaborator for Photovoltaic and Wind Power Generation (2019–2025) Research groups: GUSEE (DENERG) SOLAR (DENERG) Collaboration agreements include a 2017–2020 training initiative with the Order of Engineers of Turin as Scientific Director.

• Agent-based modeling
• Complex networks and systems
• Energy digitalization
• +۳ مورد دیگر

Tao Huang is an Associate Professor at the Department of Energy (DENERG) , Politecnico di Torino , Italy. His research focuses on Agent-based modeling , Complex networks , Energy digitalization , and Power systems economics . He contributes to interdisciplinary projects and teaches Power system economics at the PhD level and Smart grids , Energy networks , and Smart electricity systems at the master's level. Research Interests: Machine learning applications in energy systems, prosumer community modeling, digitalization of power networks, complex system analysis Awards: 2020 MIT A+B Applied Energy Symposium Best Paper Award Teaching: Course instructor for Power system economics (2021-2025), Energy networks (2022-2025), and collaborator in various energy-related courses Research Groups: GUSEE (Energy Systems) and LAME (Applied Mechanics)

Krzysztof Wildeمشاهده پروفایل

استاد

• Bridge Engineering
• Structural Mechanics
• Diagnostics of Engineering Structures
• +۳ مورد دیگر

Professor Krzysztof Wilde (b. 1966) is a leading academic at Gdańsk University of Technology, currently serving as its Rector since 2019. He previously held roles as Dean of the Faculty of Civil and Environmental Engineering (2004–2008, 2016–2019) and Head of the Department of Strength of Materials (2015–2019). He obtained his PhD from the University of Tokyo (1995) and habilitation from Gdańsk University of Technology (2003). His research focuses on bridge engineering , structural mechanics , and vibration reduction systems for infrastructure. He has developed advanced diagnostic tools for engineering structures and pioneered seismic/wind-resistant bridge technologies. His work integrates non-destructive testing , finite element modeling , and technical monitoring systems to enhance structural safety. Scientific achievements include: Individual Pomeranian Quality Award (2020) ‘De nihilo nihil fit’ prize (2018) Medal of the National Education Committee (2009) Bronze Medal for Long Service (2008) Prime Minister’s Award for habilitation (2004) As a supervisor, Wilde has guided multiple PhD candidates including Aleksandra Mariak, Anna Banaś, and Magdalena Rucka. He has managed 8 major research projects, such as Composite Pedestrian Bridges for Seismic Zones and Multi-Level Damage Detection in Infrastructure , with funding from Polish and Japanese governments.

Yu-Lin Shenمشاهده پروفایل

استاد

• Heterogeneous Materials
• Micro-mechanical Modeling
• Surface Instabilities
• +۳ مورد دیگر

Yu-Lin Shen is a Professor in the Department of Mechanical Engineering at the University of New Mexico, with over 25 years of academic service. His research focuses on deformation and failure mechanisms in heterogeneous materials, micro-mechanical modeling, and computational analysis of thin films and microelectronic packages. PhD in Engineering (Materials Science) from Brown University (1994) Postdoctoral Research at MIT (1994-1996) Professor at UNM since 2006 Author of the book Constrained Deformation of Materials (Springer, 2010) Shen's work spans multiscale material analysis, including: Surface instabilities in thin films Nanoindentation characterization Thermo-mechanical reliability Computational modeling of porous materials His recent publications emphasize plasticity-driven surface patterns, indentation mechanics, and additive manufacturing optimization, with simulations of wind farms and FRP composites. Awards include NSF CAREER and ASME Fellowship. Teaching courses include continuum mechanics and advanced materials science.

Peter Vorobieffمشاهده پروفایل

استاد

• Fluid Dynamics
• Shock Waves
• Turbulence
• +۳ مورد دیگر

Peter Vorobieff is a Professor and Associate Chair in the Department of Mechanical Engineering at the University of New Mexico. He also holds an adjunct appointment in the Department of Mathematics and Statistics. His research specializes in experimental fluid dynamics, focusing on multiphase flows, hydrodynamic instabilities (Richtmyer-Meshkov, Rayleigh-Bénard), turbulence, and shock wave interactions. He directs facilities including shock tubes, wind tunnels, and soap-film flow generators. Research Areas: His work spans shock-driven transitions to turbulence, particle-laden flows, renewable energy systems (e.g., falling particle solar receivers), and advanced flow diagnostics using PIV and high-speed imaging. Recent projects explore energy harvesting, agrivoltaics, and shock interactions with complex geometries. Publications: His articles emphasize shock physics, particle dynamics, and sustainable energy. Trends include experimental-computational synergy, non-intrusive diagnostics, and applications in renewable technology and material science. Teaching: ME 318L: Mechanical Measurements ME 530: Theoretical Fluid Dynamics

• Mechanical Engineering
• Aerospace Engineering
• Composite Materials
• +۵ مورد دیگر

Jesse French is a Professor of Mechanical Engineering and Dean of the School of Engineering at Spring Arbor University. He holds a PhD in Mechanical Engineering from The University of Tulsa with a focus on Solid Mechanics, Polymer and Composite Materials, and Sustainable Energy. His career spans academia, military service, and international missionary work. Education: PhD (2010), MS (2007), Mechanical Engineering, The University of Tulsa; BS (1995), Mechanical Engineering, Rose-Hulman Institute of Technology His research focuses on composite materials , sustainable energy systems , and humanitarian engineering applications . Recent projects include thermal failure detection algorithms , portable power solutions for disaster zones , and experimental validation of solar energy systems . Selected publications highlight interdisciplinary work across aerospace engineering, sustainable energy, and fluid dynamics. Key collaborations include research with Jason N. Small, Ben S. Carpenter, and Amber E. Keith. Professional affiliations : American Institute of Aeronautics and Astronautics (AIAA) Engineers Without Borders (EWB) American Society of Mechanical Engineers (ASME) Christian Engineering Society (CES) Jesse actively directs undergraduate engineering projects and promotes vocational training for students in both technical and spiritual contexts.

Cristinel Maresمشاهده پروفایل

استاد

• Structural Dynamics
• Vibration Analysis
• Damage Detection
• +۵ مورد دیگر

Dr. Cristinel Mares is a Reader and Director of Teaching and Learning at Brunel University London, affiliated with the Department of Mechanical and Aerospace Engineering within the College of Engineering, Design and Physical Sciences . He has maintained a consistent research trajectory in structural dynamics, vibration analysis, and damage detection methodologies since the late 1990s. Role: Reader (equivalent to Professor rank), Director of Teaching and Learning Contact: cristinel.mares@brunel.ac.uk | Howell Building, Room 111 Research Interests span structural health monitoring (SHM) through acoustic emission and guided wave propagation , wavelet-based finite element analysis for dynamic systems, squeeze-film levitation mechanisms, and Bayesian estimation for crack monitoring. His work bridges theoretical modeling with industrial applications in aerospace, wind energy, and marine engineering. Scientific Contributions include over 104 publications in journals like Mechanical Systems and Signal Processing , Advances in Mechanical Engineering , and Sensors . Recent articles focus on passive compliance design for robotics , Poisson contraction in levitation systems , and fatigue crack diagnostics using high-frequency parametric analysis . Collaborative efforts include co-authoring with T-H Gan, M. Wang, and T. Stolarski. Lab & Team Involvement includes membership in Brunel's structural dynamics research group, working on multi-scale finite element models , acoustic emission monitoring , and vibration-based damage detection . His team applies these techniques to complex systems ranging from helicopter stub wings to fast-moving train beam-soil interactions .