جست‌وجوی استاد و پژوهشگر

• Aerodynamics
• Fluid Dynamics
• Building-Integrated Photovoltaics
• +۳ مورد دیگر

Dr. Hamid Montazeri is an Assistant Professor in the Department of the Built Environment at Eindhoven University of Technology (TU/e) , Netherlands. He joined TU/e in 2020 and completed his PhD in Building Physics and Wind Engineering at the same institution in 2015. Prior to his current role, he held postdoctoral fellowships from the Research Foundation Flanders (FWO) in 2015 and 2018, focusing on convective heat transfer in turbulent boundary layers and building-integrated photovoltaics at KU Leuven (Belgium). Dr. Montazeri's research expertise includes aerodynamics and fluid dynamics applied to buildings , urban wind energy systems , and renewable energy solutions . He develops advanced multi-scale multi-physics models using computational fluid dynamics (CFD) and machine learning to enhance building energy efficiency and sustainable urban design. His work contributes to UN Sustainable Development Goals related to affordable and clean energy (SDG7) and sustainable cities (SDG11). He has received several accolades, including the Best PhD/Postdoc Award (2015) and Best PhD Supervision Team Award (2016) from TU/e's Department of the Built Environment. His 2017 paper was ranked among the top-cited in Building & Environment for 2012-2017. He serves on the editorial boards of Energy , Renewable Energy , and Journal of Wind Engineering and Industrial Aerodynamics , among others. His educational background includes a MSc in Mechanical Engineering (2006) and PhD in Building Physics and Wind Engineering (2015) , both from TU/e. He has supervised 16 research projects and actively collaborates on urban microclimate studies, wind energy harvesting, and building-integrated photovoltaic systems.

Yohei Satoمشاهده پروفایل

مدرس

• Computational Fluid Dynamics
• Multiphase Flow
• Heat Transfer
• +۳ مورد دیگر

Yohei Sato is a Senior Scientist at the Paul Scherrer Institute (PSI) and a Lecturer in Computational Multiphase Thermal Fluid Dynamics at ETH Zurich. He holds a B.S. (1995), M.S. (1999), and Ph.D. (2006) from the University of Tokyo. His research focuses on Computational Fluid Dynamics (CFD), particularly free-surface flows and phase-change phenomena, with applications in boiling heat transfer, multiphase flows, and thermal-fluid systems. He leads projects like BRAVA (CFD code development) and PSI-BOIL (unstructured CFD code), and has contributed to the T-Flows and DEBORA benchmarks. His work bridges academic research (ETHZ lectures) and industrial applications (PSI innovations). Notable contributions include numerical methods for quenching processes, heat transfer modeling in film boiling, and microgravity-based protein crystallography using acoustic levitation. Education: B.S., University of Tokyo, 1991–1995 M.S., University of Tokyo, 1997–1999 Ph.D., University of Tokyo, 2003–2006 (part-time) Research Interests: Multiphase flow dynamics, boiling heat transfer mechanisms, CFD model validation, and advanced numerical methods for phase-change phenomena. His work emphasizes practical applications in energy systems (e.g., nuclear thermal-hydraulics) and material processing (e.g., quenching). Recent Contributions: Published widely on film boiling heat transfer, transient conjugate heat transfer, and CFD simulations of high-pressure boiling flows. Collaborates internationally on benchmarks like DEBORA and develops open-source tools like PSI-BOIL for industrial and academic use.

Tiago Filipe Mendes Ferreiraمشاهده پروفایل

پژوهشگر

• Theoretical Chemistry
• Computational Chemistry
• Solid-state NMR Spectroscopy
• +۵ مورد دیگر

Tiago Filipe Mendes Ferreira is a Ramón y Cajal Fellow at the University of Santiago de Compostela, affiliated with the Department of Physical Chemistry and the Research Center in Biological Chemistry and Molecular Materials (CIQUS). His research focuses on combining solid-state NMR spectroscopy and molecular dynamics simulations to study lipid membrane systems. He holds a PhD in Theoretical Chemistry from the University of Coimbra, Portugal, and has held postdoctoral positions at the University of Paderborn and Martin Luther University Halle-Wittenberg (MLU), Germany. He was a Junior Research Group Leader at MLU and received a Temporary Principal Investigator Grant from the German Research Foundation (DFG). His research interests include computational modeling of lipid bilayers, advanced NMR method development, and biomembrane characterization. Key contributions involve integrating experimental NMR data with atomistic simulations to elucidate membrane structure and dynamics, particularly for complex systems like bacterial membranes and cholesterol-like molecules. Recent work emphasizes open data initiatives like the NMRlipids Databank, enabling collaborative analyses of biomembrane properties. His articles highlight interdisciplinary approaches to studying lipid-protein interactions, force field validation, and membrane phase behavior under confinement or dehydration. Education: Bachelor’s in Theoretical Chemistry, University of Coimbra PhD in Theoretical Chemistry (2014), funded by Portuguese Foundation for Science and Technology Awards: Ramón y Cajal Fellowship (2024) DFG Temporary Principal Investigator Grant Lab Affiliations: QTEC Group (Theoretical and Computational Chemistry) CIQUS Research Center

Popescu Florin Dumitruمشاهده پروفایل

استاد

• Mining Engineering
• Mechanical Engineering
• Numerical Simulation
• +۵ مورد دیگر

Prof. Popescu Florin Dumitru is a faculty member at the University of Petroșani's Faculty of Mechanical and Electrical Engineering, holding a professorship in the Department of Mechanical, Industrial and Transport Engineering. His work focuses on advanced numerical modeling, geotechnical engineering, and mechanical system analysis with applications in mining, energy, and material science. Research interests include slope stability assessment, rock mechanics, finite element simulation, and optimization of mining machinery. He has extensively studied lignite properties, hoisting systems, and thermal stress analysis in mining equipment through projects like COMSOL Multiphysics modeling and FDEM (Finite-Discrete Element Method) applications. Publications from 2023-2024 highlight cutting-edge work in tailings dam stability, rotor excavator dynamics, and energy-efficient mine equipment design. His research bridges theoretical mechanics with practical industrial challenges, particularly in Romania's lignite mining sector. Grants and collaborations are implied through sustained research output but not explicitly detailed in provided texts. He advises graduate students on mining machinery and geomechanics topics, though specific advisees are not listed. Labs/teams: Research conducted primarily through the university's mechanical engineering facilities with industry partnerships in mining and energy sectors.

Clay Guoyu Chuمشاهده پروفایل

مدرس

• High-Speed Electric Machines
• Permanent Magnet Synchronous Motors
• Multiphysics Multi-Objective Design Optimization
• +۵ مورد دیگر

Dr. Clay (Guoyu) Chu is a Lecturer and Senior Research Associate in Energy Systems at the School of Electrical Engineering and Telecommunications, UNSW Sydney. His work focuses on decarbonization through advanced electric drive and energy conversion technologies. Ph.D. (Electrical Engineering, UNSW Sydney, 2021) M.E. (Electrical Engineering, UNSW Sydney, 2016) B.E. (Electrical Engineering and Automation, Shandong University of Science and Technology, 2014) His research spans high-speed electric machines, permanent magnet motors, sensorless control, electromagnetic systems, and grid stability with renewable energy integration. Recent work emphasizes multiphysics design optimization, fault diagnosis, and wide bandgap switches for high-frequency drives. Dr. Chu's publications highlight advancements in interior permanent magnet synchronous machines (IPMSMs), loss minimization control, and zero sequence current analysis. Themes include motor efficiency, mechanical stress reduction, and fault-tolerant design for high-speed and renewable energy applications. Australian Research Council Early Career Industry Fellowship (2023, $447k) Malcolm Chaikin Prize for Research Excellence in Engineering (2023) Dean’s Award for Outstanding PhD Theses (2022) Third Prize Paper Award, IEEE ECCE (2024) He has secured over $1.7 million in grants, including ARC Discovery Projects and UNSW Faculty Infrastructure Funding. Dr. Chu contributes to teaching courses in electric drive systems, power electronics, and electromagnetic engineering.

Ankit Sharmaمشاهده پروفایل

پژوهشگر ارشد

• Aircraft Design
• Computational Fluid Dynamics
• Multi-Fidelity Modeling
• +۴ مورد دیگر

Ankit Sharma is a Research Fellow in Multi-Fidelity Aircraft Design Optimization at the Centre for Aeronautics, Cranfield University. With over 7 years of combined experience across industrial and academic settings, he specializes in aircraft design, computational fluid dynamics (CFD), finite element analysis (FEA), and multi-fidelity aerodynamic and structural modeling. Dr. Sharma's research focuses on several cutting-edge areas in aerospace engineering, including electric Vertical Take-Off & Landing (eVTOL) aircraft design and multidisciplinary optimization, multi-fidelity surrogate modeling techniques, and AI/data-driven strategies for early-phase aircraft design. His professional background spans concept-to-prototype development, with particular emphasis on CFD-based preliminary design of novel aircraft configurations. Analysis of Dr. Sharma's recent publication record reveals a strong technical focus on propeller and rotorcraft aerodynamics, aeroacoustics, and multi-fidelity modeling approaches. His work demonstrates expertise in applying computational methods across different fidelity levels to address complex aerospace challenges, particularly in noise prediction and optimization. A notable trend in his 2025 publications shows increasing integration of machine learning techniques with traditional aerospace engineering methods, exemplified by his PropAI framework for propeller design optimization. Dr. Sharma is currently engaged in tool development for the Airbus ONEheart project, creating agile, low-emissions conceptual design frameworks. His collaborative work extends to multiple international research teams, as evidenced by his co-authorship with researchers from various institutions on projects related to open rotor aircraft, supersonic airliner design, and uncertainty propagation in conceptual design.

• Aerodynamics
• Propulsion Systems
• Computational Fluid Dynamics (CFD)
• +۴ مورد دیگر

Olivier Petit is a researcher at the Department of Thermo and Fluid Dynamics at Chalmers University of Technology, Sweden. His work focuses on aerodynamics , propulsion systems , and computational fluid dynamics (CFD) , with emphasis on turbofan engines, open rotor designs, and boundary layer ingestion technologies.

Oliver Ackermann Lylloffمشاهده پروفایل

پژوهشگر

• Wind Energy
• Aeroacoustics
• Wind Tunnel Testing
• +۳ مورد دیگر

Oliver Ackermann Lylloff is a Researcher at DTU Wind and Energy Systems, Technical University of Denmark, specializing in experimental wind turbine aeroacoustics and wind tunnel testing. His work directly contributes to UN Sustainable Development Goals for affordable clean energy and climate action through advanced rotor design research. Education: PhD in Wind Energy Systems, Technical University of Denmark (2017-2021) Dr. Lylloff's research centers on experimental aeroacoustic characterization of wind turbine components using the Poul la Cour Wind Tunnel (PLCT). His expertise spans leading edge erosion analysis, vortex generator noise detection via beamforming, and Kevlar membrane acoustic properties under aerodynamic loading. He develops innovative methodologies for noise source localization and blade surface durability testing, directly addressing industry challenges in turbine noise reduction and efficiency optimization. His recent publications (2024-2025) demonstrate a cohesive research trajectory focused on experimental wind tunnel validation of aerodynamic and aeroacoustic phenomena. Key trends include the development of open-source tools like AeroAcoustics.jl, systematic studies of leading edge protection systems, and advanced beamforming techniques for noise source identification—bridging theoretical fluid dynamics with practical wind turbine design constraints. As Principal Investigator for the Sustainable and Cost Efficient Small Wind Turbine project (2025-2027), Dr. Lylloff leads a €2.1M research initiative funded by the Danish Energy Agency. His grant portfolio includes multiple collaborative projects with industry partners like Siemens Gamesa and Vestas, focusing on distributed energy solutions and blade erosion mitigation. Dr. Lylloff operates within DTU's Rotors Wind Turbine Design Division and the Poul la Cour Wind Tunnel Laboratory (PLCT), where he manages experimental campaigns using state-of-the-art microphone arrays and beamforming systems. He actively disseminates research through public datasets like the PLCT-data collections and engages in knowledge transfer via media appearances and conference organization.

• Electrical Engineering
• Diagnostics of Electrical Machines
• Induction Motor Diagnostics
• +۴ مورد دیگر

Jarosław Tulicki serves as a Lecturer at the Department of Electrical Engineering within the Faculty of Electrical and Computer Engineering at Cracow University of Technology. Having recently completed his doctorate in 2024, he specializes in electrical machine diagnostics with emphasis on induction motor fault detection through non-invasive techniques. His research focuses on rotor cage damage diagnostics using stator current spectrum analysis and axial flux signal processing under steady-state conditions. Key contributions include methodologies for detecting rotor asymmetries in double-cage induction motors and developing diagnostic systems for industrial applications like tramway drive systems. His work bridges theoretical electromagnetic modeling with practical condition monitoring solutions. Tulicki's publication record demonstrates consistent research progression from fundamental electromagnetic analysis (2015-2018) toward applied diagnostic systems (2019-2024). The most recent works emphasize double-cage motor diagnostics and real-time implementation, showing strong technical depth in signal processing and system integration. His research consistently targets industrial applicability while maintaining rigorous theoretical foundations. With 27 publications yielding an h-index of 4 in both Scopus and Web of Science, his scholarly impact is reflected in a total ministerial score of 497 within the Polish academic evaluation system. His ORCID profile (0000-0003-1720-3448) documents this active research trajectory.

James Proppمشاهده پروفایل

استاد

• Combinatorics
• Probability
• Dynamical Systems

James Propp, Ph.D., is a Professor in the Department of Mathematics & Statistics at the University of Massachusetts Lowell (Kennedy College of Sciences). He specializes in Combinatorics, Probability, and Dynamical Systems. His work bridges theoretical mathematics with applications in discrete structures and algorithmic processes. Propp has been actively mentoring undergraduates in research since joining UMass Lowell in 2006. Education: Ph.D., University of California at Berkeley Research Interests: Propp’s research focuses on tilings of geometric structures (e.g., Aztec diamonds, benzels), combinatorial dynamics, and homomesy phenomena. He explores probabilistic models in discrete systems and develops bijections for enumeration problems. His work often combines algebraic, geometric, and computational approaches. Recent Research Trends: Propp’s recent publications highlight advancements in tiling theory, toggle dynamics, and spectral analysis of combinatorial systems. His work on homomesy elucidates invariant averages under dynamical actions, while his studies on chip-firing games and rotor-routers model probabilistic phenomena deterministically. Awards: No awards explicitly mentioned in the text. Advising & Grants: While no specific grants are listed, Propp is noted for encouraging undergraduate research participation in mathematics. His advising contributions are central to his role as a mentor. Labs/Teams: No specific labs or collaborative teams are detailed in the provided information.

• Unmanned Aerial Systems (UAS)
• Cybersecurity in Robotics
• Autonomous Systems
• +۴ مورد دیگر

James Goppert is a Research Professor in the Department of Aeronautics and Astronautics at Purdue University and Managing Director of the Purdue UAS Research and Test Facility (PURT). His role involves advancing research in unmanned aerial systems (UAS), focusing on navigation, autonomy, and cybersecurity. Dr. Goppert holds a Ph.D., M.S., and B.S. in Aeronautics and Astronautics from Purdue University, all completed in 2018, 2011, and 2007 respectively. His research interests span cybersecurity for drones, sensor fusion, autonomous control systems, and formal verification of safety-critical systems. PURT, under his leadership, is a global leader in UAS testing with advanced motion capture capabilities. Recent publications emphasize robust state estimation, cyberattack mitigation, and safe autonomous navigation frameworks. Dr. Goppert’s work integrates theoretical models with practical implementations, including open-source tools like ArduPilot extensions and GNSS signal emulation plugins. His contributions address vulnerabilities in UAS communication protocols and promote rigorous safety assurance in autonomous systems.

Wenbin Yuمشاهده پروفایل

استاد

• Multiscale Modeling
• Structural Mechanics
• Micromechanics
• +۳ مورد دیگر

Wenbin Yu is the Milton Clauser Professor of Aeronautics and Astronautics at Purdue University, leading research in multiscale modeling, structural mechanics, and advanced materials. He holds a PhD from Georgia Tech (2002) and has expertise in composite materials, computational mechanics, and aerospace structural analysis. Education: PhD in Aerospace Engineering, Georgia Tech, 2002 MS in Engineering Mechanics, Tsinghua University, 1998 BS in Hydraulic Engineering, North China University of Water Conservancy and Hydroelectric Power, 1995 Research Interests: Focuses on multiscale modeling of composite structures, micromechanics, computational mechanics, and applications in aerospace and advanced materials. His work integrates variational asymptotic methods and machine learning for structural analysis. Publications: Over 200 peer-reviewed articles, with recent emphasis on nonlinear composite beam theories, thermomechanical modeling, and AI-driven material design. Awards: Fellow, American Society for Composites ASME/Boeing Structures and Materials Award Fellow, ASME Georgia Tech Outstanding Young Engineering Alumni Roles & Grants: Editor-in-Chief of key journals, technical chair for ASME conferences, and founder of the ASME Aerospace Structures Conference. CTO of AnalySwift LLC, developing VABS/SwiftComp software for composite analysis. Labs & Teams: Leads the Multiscale Structural Mechanics group at Purdue and collaborates with industry partners like NASA and Boeing through projects in composite rotor blades and wind turbine design.

Sven Schmitzمشاهده پروفایل

استاد

• Wind Energy
• Aerodynamics
• Rotorcraft Design
• +۳ مورد دیگر

Dr. Sven Schmitz is a Professor of Aerospace Engineering at Penn State University, affiliated with the Integrated Energy Systems theme at the Institute for Energy and the Environment (IEE). His research focuses on aerodynamics, wind energy systems, and rotorcraft aeromechanics. Key projects include optimizing wind turbine performance during ice storms and analyzing helicopter rotor hub flows using scaled models in the Garfield Thomas Water Tunnel. He leads efforts in floating offshore wind turbine technologies and mitigation of aviation contrail impacts on climate. Affiliations: Penn State Aerospace Engineering, IEE Faculty Member, Vertical Flight Society contributor Education: Promoted to Professor (2022), with prior academic milestones including a 2021 Atherton Teaching Award Research interests span computational fluid dynamics (CFD), rotor design optimization, and machine learning applications in multirotor performance prediction. Notable contributions include resolving century-old wind turbine equations and advancing coaxial rotor dynamics for urban air mobility. Awards include the 2024 Vertical Flight Society Technical Paper Award and leadership in the 2019 DOE Collegiate Wind Competition. His work bridges academia and industry through collaborations like the Penn State Vertical Lift Research Center of Excellence. Grants/Projects: Multi-Disciplinary Approach to Climate Impacts of Contrails, Next-Gen Floating Offshore Wind Turbines Labs: Applied Research Lab (ARL), Garfield Thomas Water Tunnel

Derek I. Gransdenمشاهده پروفایل

استادیار

• Aerospace Engineering
• Crashworthiness Analysis
• Finite Element Methods
• +۵ مورد دیگر

Dr. Derek I. Gransden is an Assistant Professor - Teaching Stream in the Department of Mechanical and Aerospace Engineering at Carleton University. He holds a B.Eng (2003) and Ph.D (2011) from Carleton University, specializing in vibration and control of parallel chain kinematics. His postdoctoral research at TU Delft focused on composite aircraft crash safety and open-rotor systems impact analysis. He has taught at Carleton University, Laurentian University, Jiangxi University of Science and Technology, and Sudbury. His teaching emphasizes novel pedagogical methods in mechanics of materials, dynamics, and finite element analysis, earning a teacher-of-the-year nomination. Research focuses include UAV collision safety, space debris impact mitigation, finite element modeling, and aerospace structural dynamics. Education: B.Eng (Carleton University, 2003), Ph.D (Carleton University, 2011). Research Interests: Crashworthiness analysis of composite aircraft structures Impact dynamics of unmanned aerial systems (UAVs) Hypervelocity impact of space debris on spacecraft Finite element modeling of aerospace systems Active control of flexible aerospace structures Publications highlight advancements in UAV safety standards, space debris mitigation strategies, and material failure analysis under impact conditions. His work bridges computational modeling with real-world safety applications in aviation and aerospace sectors. Awards: Teacher-of-the-year nomination (unspecified year). Teaching Portfolio: Courses include ECOR 1047 (Visual Communications), AERO 4306 (Aerospace Vehicle Performance), and MECH 4604 (Finite Element Methods). He pioneered bio-inspired environmentally-friendly UAV design in AERO 4907O.

Wouter Kagerمشاهده پروفایل

استادیار

• Probability Theory
• Discrete Systems
• Random Spatial Behavior
• +۶ مورد دیگر

Wouter Kager is an Assistant Professor of Probability in the Department of Mathematics at Vrije Universiteit Amsterdam. His research focuses on discrete systems with random spatial behavior, including lattice aggregation models, random fields, and self-interacting random walks. He is particularly interested in the limiting behavior and scaling limits of these models, contributing to Probability Theory and related disciplines. Research Interests: Kager's work explores the intersection of probability theory and statistical physics. His research includes studies on stochastic processes, lattice models (e.g., Ising model), aggregation phenomena, and network stability. He has developed tools for analyzing stochastic systems, such as rotor-router aggregation and diamond aggregation models. His recent work also addresses applications in coordination games and queueing theory. Tools & Contributions: Kager has created open-source tools for converting EPS/FIG files to PDF/PNG, optimizing n-up printing, and LaTeX presentation themes. These tools are widely used in academic and technical contexts. His contributions to computational methods reflect his interdisciplinary approach to research. Publications: His articles span topics like stochastic domination, critical phenomena in random graphs, and stability analysis of stochastic networks. Recent works include advancements in likelihood ratio analysis, convex cone theory, and coordination game models.