جست‌وجوی استاد و پژوهشگر

• Aeroacoustics
• Wind turbine noise
• Marine propeller noise
• +۵ مورد دیگر

Benjamin Cotté is an Associate Professor at ENSTA Paris, a member of Institut Polytechnique de Paris, where he works in the Mechanics Unit (UME) within the Institute of Mechanical Sciences and Industrial Applications (IMSIA UMR 9219). His research focuses on fluid dynamics and acoustics, particularly in modeling and simulation of noise sources and their propagation in various environments. His research interests include the modeling and simulation of aeroacoustic sources and their propagation in inhomogeneous environments, with applications to wind turbine and marine propeller noise, and sound synthesis using physical models of aero- and vibro-acoustic sources. Cotté has developed expertise in wind turbine noise modeling based on Amiet's theory, studying the effects of wind shear and atmospheric turbulence, as well as extended source models for wind turbine noise propagation that account for blade motion. His recent publications reveal a strong focus on wind turbine noise propagation, aeroacoustics, and sound synthesis. His work combines theoretical modeling with experimental validation, particularly in dynamic stall noise characterization. Cotté's research spans both renewable energy applications (wind turbines) and musical acoustics (piano soundboards). Scientific Awards and Funding: ANR PIBE project (Prédire l'Impact du Bruit des Eoliennes) for dynamic stall noise research ANR funding for the MAESSTRO project (Computer-aided design of piano soundboards) DGA funding for time-domain damping models in structural acoustics ITN VRACE project (Virtual Reality Audio for Cyber Environments) for wind turbine noise auralization Collaborations: Cotté collaborates extensively with researchers from Ecole Centrale de Lyon (Michel Roger, Emmanuel Jondeau, Pascal Souchotte) and works with Antoine Chaigne and Roberto Viggiano on piano acoustics research. Advising: Cotté has supervised multiple PhD students and postdocs including David Raus (2019-2021), Lisa Sicard (2020-...), Yuan Tian (2012-2016), and David Mascarenhas (2020-...), focusing on wind turbine noise, aeroacoustics, and sound synthesis.

Wolfgang Rheinheimerمشاهده پروفایل

استاد

• Ceramic materials
• Sintering technologies
• Grain boundary engineering
• +۷ مورد دیگر

Prof. Wolfgang Rheinheimer is a Professor and Institute Director at the Institute for Ceramic Materials and Technologies , University of Stuttgart, since 2023. Previously, he held academic positions at RWTH Aachen (2022-2023), Forschungszentrum Jülich (Emmy Noether Group Leader, 2020-2022), TU Darmstadt (2020), and Karlsruhe Institute of Technology (2010-2017). Academic Rank: Full Professor Research Focus: Advanced sintering technologies, grain boundary engineering, defect chemistry, conductivity in ceramics, and microstructure evolution His research spans experimental and computational approaches to ceramic materials, with emphasis on field-assisted processing (electric/magnetic), grain boundary properties , and solid-state electrolytes . He has pioneered studies on flash sintering , cold sintering , and blacklight sintering mechanisms. Scientific Awards : Emmy Noether Fellowship (2020-2022) for establishing his independent research group His work integrates phase-field modeling with experimental characterization to optimize ceramic properties for energy applications (solid-state batteries, fuel cells) and structural uses. Collaborations include Robert Bosch GmbH and Purdue University (2018-2019 Visiting Professorship).

• Water Engineering
• Environmental Engineering
• Urban Hydrology
• +۳ مورد دیگر

Teemu Kokkonen is a Senior University Lecturer in the Department of Built Environment at Aalto University, Finland, specializing in water and environmental engineering with a focus on urban hydrological systems and sustainable stormwater solutions. His research spans water engineering, environmental modeling, and cold-climate hydrology, emphasizing practical applications for urban drainage challenges. Key interests include biochar filtration for road runoff treatment, low-impact development (LID) effectiveness, spatio-temporal pollutant dynamics, and high-resolution climate modeling integration. His work addresses critical gaps in adapting urban water infrastructure to climate change while maintaining pre-development flow regimes. Analysis of his 2019-2023 publications reveals dominant trends in cold-region stormwater modeling using SWMM, with growing emphasis on convection-permitting climate data and land cover impacts. His studies consistently bridge engineering practice and environmental science, particularly through Nordic collaborative projects examining radar accuracy in heavy rainfall and acid sulfate soil behavior. Scientific recognition includes: Early Career Research Excellence Award from The International Environmental Modelling and Software Society (IEMSs), Switzerland (2004) Student Paper Commendation (MODSIM99) from Modelling and Simulation of Australia and New Zealand Inc. (2000) No information on student advising or research grants was provided in the source material. Dr. Kokkonen actively contributes to Aalto University's Water and Environmental Engineering research group, which develops integrated solutions for urban water cycle restoration through advanced modeling and field experimentation.

Gaborit Mathieuمشاهده پروفایل

دانشیار

• Acoustics
• Mechanics of Porous Materials
• Ultrasonics
• +۱۰ مورد دیگر

Mathieu Gaborit is an Associate Professor at Le Mans Université , affiliated with the Institute of Acoustics . His work focuses on advanced modeling techniques for acoustics, particularly in Materials Acoustics and Mechanics of Porous Materials . Acoustic characterization of anisotropic materials Development of hybrid numerical methods (FEM-DG) Integration of reinforcement learning in acoustic simulations Wave propagation in complex media Recent publications explore experimental characterization of equivalent fluids, optimization of finite element models using AI, and reinforcement learning for numerical method parameters. His research bridges computational mechanics with machine learning, emphasizing acoustic metamaterials and thin layer modeling. The work also includes studies on 3D-printed porous structures and uncertainty quantification in acoustic screens. He is active in the Acoustics and Mechanics of Porous Materials research team, contributing to projects on additive manufacturing and wave propagation. His collaborations span institutions like Kungliga Tekniska Högskolan (Sweden) and CNRS.

S. Jon Chapmanمشاهده پروفایل

استاد

• Industrial mathematics
• Mathematical modelling
• Matched asymptotic expansions
• +۱۶ مورد دیگر

Professor S. Jon Chapman is a faculty member at the Mathematical Institute, University of Oxford, holding the position of Professor of Mathematics and its Applications. He is affiliated with the Oxford Centre for Industrial and Applied Mathematics research group. His educational background includes a DPhil, MA, and BA. Research interests span diverse areas of applied mathematics and scientific modeling: Industrial mathematics and mathematical modeling Partial differential equations and asymptotic methods Fluid dynamics and turbulence theory Biophysical applications including tumor growth and tissue modeling Electromagnetic scattering and superconductivity Materials science and energy systems Publication analysis reveals two primary trends: Recent work (2025) focuses on electrochemical systems (battery modeling, gas-induced bulging) and biological applications (organoid models). Earlier influential publications established expertise in pattern formation, fluid dynamics (ship waves, spiral waves), and transport phenomena in biological systems. Mathematical techniques consistently feature multiscale analysis, asymptotic methods, and nonlinear modeling. Awards and honors recognizing scholarly contributions: Naylor Prize (2015) Julian Cole Prize (2002) Whitehead Prize (1998) Richard C. DiPrima Prize (1994) Johnson Mathematical Prize (1992) No information is available regarding student advising, grants, or laboratory affiliations.

• Computational Solid Mechanics
• Experimental Solid Mechanics
• Structural Optimization
• +۴ مورد دیگر

Miguel Costas Piñó serves as Associate Professor in the Department of Structural Engineering at the Norwegian University of Science and Technology (NTNU), where he has been faculty since 2017 and was promoted to Associate Professor in 2021. His research bridges computational mechanics with practical engineering applications in structural safety and material behavior. Education PhD in Civil Engineering, University of A Coruña (2016), thesis: "Crashworthiness analysis and design optimization of hybrid impact energy absorbers" (awarded Cum Laude, International Distinctions, and Extraordinary Doctorate Award) Master of Science in Civil Engineering, University of A Coruña (2011), specialization in Structural Engineering Research Focus Dr. Costas's work centers on computational and experimental solid mechanics , with particular expertise in metal plasticity , aluminium structures , and crashworthiness under extreme loading conditions. His laboratory investigates ballistic penetration phenomena and structural optimization for energy-absorbing systems, utilizing advanced finite element methods and physical testing protocols. Current projects integrate machine learning with traditional mechanics to model complex failure modes in multi-material systems. Publication Trends His 2020-2025 publications reveal three dominant trajectories: (1) ballistic resistance of additively manufactured metals for defense applications, (2) crash safety of electric vehicle battery systems, and (3) advanced modeling of mechanical joints. These works consistently combine experimental validation with computational innovation, particularly in neural network applications for large-scale structural simulations. Awards Cum Laude Doctorate International Distinctions (PhD) Extraordinary Doctorate Award Professional Activities Dr. Costas actively collaborates with industry partners on structural safety projects and serves as principal investigator for multiple NTNU research initiatives. His teaching includes graduate courses in materials mechanics, and he maintains dual professional engagement as a classical pianist with Norway's collaborative music community. Current work focuses on AI-driven crash simulation frameworks and next-generation armor materials.

Yang Huangمشاهده پروفایل

پژوهشگر ارشد

• Ocean Renewable Energy
• Computational Fluid Dynamics
• Hydrodynamic Performance
• +۳ مورد دیگر

Dr. Yang Huang serves as a Research Fellow in the Department of Naval Architecture, Ocean And Marine Engineering at the University of Strathclyde. His work focuses on advanced numerical methods for marine renewable energy systems, contributing significantly to the development of sustainable ocean energy technologies. Dr. Huang's research centers on the application of Computational Fluid Dynamics (CFD) for flow analysis of ocean renewable energy systems. His expertise encompasses hydrodynamic performance simulation of marine structures, with particular emphasis on wave energy converters and floating offshore wind turbine systems. His current work investigates the complex interactions between fluid dynamics and structural responses in marine energy harvesting devices, addressing critical challenges in efficiency and stability of ocean energy systems. His recent publications demonstrate a strong focus on hydroelastic response in wave energy converters and power stability in floating offshore wind systems. The research shows consistent application of advanced numerical methods to solve engineering challenges in marine renewable energy, with particular attention to fluid-structure interactions and system optimization for real-world ocean conditions. Dr. Huang currently serves as Co-investigator on the EPSRC-funded project 'Bionic Adaptive Stretchable Materials for WEC (BASM-WEC)', which aims to develop an analysis and laboratory testing integrity toolbox for designing state-of-the-art adaptive materials for Wave Energy Converters. His collaborative work spans multiple international research groups focused on advancing marine renewable energy technologies.

Hui Yangمشاهده پروفایل

استاد

• Artificial Intelligence
• Nonlinear Dynamics
• Smart Manufacturing
• +۷ مورد دیگر

Hui Yang is a Professor of Industrial and Manufacturing Engineering and Biomedical Engineering at Pennsylvania State University , holding the Gary and Sheila Bello Chair Professor title. He is affiliated with multiple institutions including the Penn State Cancer Institute , Clinical and Translational Science Institute , and Institute for Computational and Data Sciences . Currently serving as PI and Site Director of the NSF Center for Health Organization Transformation (CHOT) , his career includes leadership roles in professional societies such as IISE Data Analytics and Information Systems Society (President 2017-2018) and INFORMS Quality, Statistics and Reliability (QSR) society (President 2015-2016). As Associate Editor for journals like IISE Transactions , IEEE JBHI , and IEEE Transactions on Automation Science , he maintains strong editorial influence. His research integrates nonlinear stochastic dynamics with sensor-based system informatics to advance both smart manufacturing and healthcare engineering . Recent work explores digital twin technologies , blockchain applications , and AI-driven disease modeling for conditions like Alzheimer's and cardiovascular disease . Key scientific contributions include developing character-level linguistic biomarkers for early dementia detection, self-organizing network representations of cardiac systems, and privacy-preserving neural networks for Industry 4.0 environments. His research group has received significant external funding from NSF , DOE , and NIST to address challenges in heterogeneous manufacturing networks , adaptive failure prognosis , and spatiotemporal optimization . Fulbright Award in Science, Technology and Innovation (2022) IISE Fellow (2021) NSF CAREER Award (2015) Through his Virtual Learning Factory and SCOUT spatiotemporal framework , Yang bridges manufacturing analytics with health informatics , creating cross-domain methodologies for system diagnostics/prognostics , process optimization , and smart health monitoring . His Cross Recurrence Analysis Toolbox provides open-source methods for nonlinear time series analysis.

• Process Systems Engineering
• Crystallization
• Crystal Shape Control
• +۵ مورد دیگر

Dr. Aniruddha Majumder is a Lecturer at the School of Engineering, University of Aberdeen, UK, since 2014. His academic journey includes a PhD in Chemical and Biomolecular Engineering from Nanyang Technological University (2011) and prior roles at Loughborough University, Purdue University, and Nanyang Technological University. Current Position: Lecturer, School of Engineering, University of Aberdeen (2014–Present) Past Roles: Research Associate (Loughborough), Visiting Scholar (Purdue), Research Assistant (NTU Singapore) Research focuses on: Crystallization (crystal shape control, enantiomer separation, polymorph control), Lattice Boltzmann Method (multiphase flow simulation), Biodegradation (anaerobic digestion), and Carbon Capture (adsorption process optimization). Recent work involves cellulose nanofiber applications and anti-fouling crystallizer design. Recent publications demonstrate expertise in: Pharmaceutical crystallization (2025: sulfathiazole nanocrystallization) Environmental remediation (2024: methylene blue removal via modified cellulose) Continuous manufacturing (2023: SM-PFC crystallizer simulation) Process modeling (2020: LBM for separation processes) Taught modules include Fluid Mechanics, Separation Processes, and Engineering Project. Collaborates with institutions in the UK, USA, and Belgium on topics like chiral resolution and sustainable chemical production. Scientific recognition includes: 2022/23 & 2017/18: Nominee for University of Aberdeen's Excellence in Teaching Award 2012: Best Poster Award (CMAC Open Day) Grants secured: Royal Society International Exchanges (2022, £12k), EPSRC CMAC Feasibility Study (2021, £59,893), and Binks Trust Fund (2018, £2.5k).

• Human Factors
• Ergonomics
• Automated Driving
• +۳ مورد دیگر

André Dietrich serves as a Researcher at the Department of Ergonomics, Technical University of Munich, since March 2015. His work centers on pedestrian-vehicle interactions within automated driving contexts, utilizing advanced simulation methodologies and field studies to enhance urban traffic safety. Education: Diploma in Aerospace Engineering from Technical University of Munich specializing in aircraft propulsion and aerospace engineering Completed diploma thesis "Feasibility Analysis of a Pedestrian Simulator" in December 2014 Research Interests: Dietrich investigates pedestrian crossing behavior in automated urban environments through human factors and ergonomics frameworks. His work pioneers external human-machine interfaces (eHMIs) for vehicle-pedestrian communication, examining kinematic effects, cultural influences, and age-related perception differences. Key methodologies include augmented reality simulations, LiDAR-based field observations, and motion-platform pedestrian simulators to capture behavioral nuances in traffic scenarios. His research directly addresses safety challenges posed by increasing vehicle automation levels in complex urban settings. Publication Trends: Analysis of Dietrich's 12 publications (2016-2022) reveals consistent focus on pedestrian-AV interaction mechanisms. His work demonstrates evolving methodologies from controlled simulator studies toward real-world field validations, with growing emphasis on inclusive eHMI design for diverse user groups. Cross-cultural comparisons and technical innovations in projection-based interfaces represent significant thematic threads across his publication history. Advising and Grants: No student supervision or grant funding details are documented in the provided materials. Labs and Infrastructure: Dietrich operates within TUM's Ergonomics Chair facilities including the Dynamical Mock-Up, Modular Ergonomic Mockup, Static Driving Simulator, and robotics labs. These resources support his research on cabin design, automated driving systems, and human-robot interaction within traffic contexts.

Mustafa Alattarمشاهده پروفایل

استادیار

• Hydrology
• Water Resources Engineering
• Surface Water and Groundwater Interaction
• +۴ مورد دیگر

Mustafa Alattar serves as an Assistant Professor in the Department of Engineering at the American University of Iraq, Sulaimani (AUIS), where he has been employed since 2021. He holds a Ph.D. in Civil Engineering from Lehigh University (USA) and an M.A. from the University of Babylon. His academic qualifications include: Ph.D. in Civil Engineering, Lehigh University, USA M.A., University of Babylon, Iraq Dr. Alattar's research centers on hydrology with specialized focus on surface water-groundwater interactions, employing advanced modeling frameworks like MODFLOW-OWHM to analyze water budgets across the United States and Iraq. His work addresses critical water resource challenges including baseflow recession dynamics, groundwater mapping through multi-source data integration, and climate variable impacts on regional hydrology. Recent publications demonstrate increasing emphasis on Iraq's water systems, particularly groundwater dynamics in the Euphrates basin and climate analysis of precipitation-temperature patterns. His 11 publications from 2013-2024 reveal a clear research trajectory: early work focused on flood routing in Iraqi rivers using Saint Venant equations, evolving into large-scale US water budget modeling, and culminating in recent composite modeling approaches for baseflow analysis and Iraq-specific groundwater dynamics. The consistent thread is integrated hydrological modeling addressing both theoretical advancements (e.g., composite Boussinesq equations) and practical water management applications in data-scarce regions. No scientific awards are documented in the available information. The provided materials do not indicate any student advisees or research grant funding. Professional activities include membership in the American Geophysical Union where he presents research annually. Prior to AUIS, he served as research/teaching assistant at Lehigh University and the Institute of Technology in Baghdad, plus industry experience as a CAD Engineer for Nippon Koei Co., Ltd. on Iraqi infrastructure projects.

Yuanchang Xieمشاهده پروفایل

استاد

• Transportation Engineering
• Traffic safety
• Traffic operations and simulation
• +۵ مورد دیگر

Yuanchang Xie serves as Professor in Civil and Environmental Engineering at UMass Lowell's Francis College of Engineering, where he leads research in the Center for Smart Cyber-Physical Systems. His work integrates computational methods with transportation infrastructure analysis, focusing on safety-critical applications through federal partnerships. Dr. Xie earned his Ph.D. in Civil Engineering from Texas A&M University (2007), preceded by M.S. and B.S. degrees in Transportation Engineering from Southeast University, China (2003, 2000). His academic foundation supports interdisciplinary research bridging civil engineering and cyber-physical systems. Research centers on traffic safety, intelligent transportation systems, and logistics optimization. He pioneers AI-driven approaches for crash prediction, connected vehicle operations, and infrastructure monitoring, emphasizing real-world implementation through partnerships with USDOT and state agencies. Current work explores multimodal data fusion for safety analytics in mixed-autonomy environments. Recent publications (2024-2025) reveal accelerating focus on deep learning applications: crosswalk detection via drone imagery, trajectory prediction in mixed traffic, and real-time work zone safety monitoring. This evolution demonstrates strategic alignment with emerging transportation technologies while maintaining core safety objectives. No scientific awards were explicitly documented in source materials. Dr. Xie has secured continuous funding as Principal Investigator through NSF, USDOT, DOE, and USDA programs. Key projects include Connected Vehicles: Toward the Understanding of "Firm Science" (NSF), Center of Multi-Scale Sensing Technologies (USDOT), and nuclear evacuation modeling for rural communities (USDA). His grants consistently address infrastructure resilience through cyber-physical integration. He directs research activities within UMass Lowell's Center for Smart Cyber-Physical Systems, which develops sensor networks and computational models for transportation infrastructure monitoring. The center's work on drone-based inspection systems and emergency response logistics demonstrates practical applications of his theoretical frameworks.

• Construction Logistics
• Digital Twin Frameworks
• Building Information Modeling (BIM)
• +۴ مورد دیگر

Stephan Kessler is a researcher at the Technical University of Munich , affiliated with the Department of Mechanical Engineering and the Chair of Conveying Technology, Material Handling, and Logistics . His work focuses on construction logistics, digital twins, and IoT integration in building processes. Contact: stephan.kessler@tum.de Key research areas: Digital Twin, BIM, DEM simulations, IoT in construction Collaborates with Prof. Johannes Fottner on construction automation projects His research emphasizes digitalization of construction processes through technologies like RFID, machine learning, and simulation tools. Recent publications address tower crane planning, co-robot integration, and bulk material handling standards. Article trends show consistent focus on construction automation (IoT, digital twins, BIM), material flow optimization (DEM simulations, screw conveyor standards), and equipment lifecycle management (telematics, RFID identification). Kessler contributes to industry-university collaborations through projects like BauFlott (fleet management systems) and TEP (Tower Crane Deployment Planner). His work bridges theoretical research with practical implementations in construction site logistics.

• Digital Twins
• Heavy Civil Engineering
• Construction Logistics
• +۴ مورد دیگر

Anne Fischer, M.Sc., is a researcher at the Chair of Material Handling, Material Flow, and Logistics at the Technical University of Munich (TUM). Her work focuses on digital twins, construction automation, and resource scheduling in heavy civil engineering. She is based in Garching near Munich and collaborates with institutions like UC Berkeley and Stanford University. Research Interests: Digital Twin frameworks, simulation-based optimization, BIM integration, activity recognition in construction, and sustainable logistics systems. Collaboration: Serves as a contact person for international exchanges with U.S. institutions. Publication Trends: Her recent articles (2024–2021) address construction automation, digital twin applications, and variability management in civil engineering projects. Key Projects: Engaged in initiatives like Bauen 4.0 , MiProcess2Twin , and SiteRoute , which focus on digitalization and automation in construction. Location: Boltzmannstraße 15, Garching bei München (Room: 5505.EG.501).

Richard Collinsمشاهده پروفایل

مدرس ارشد

• Water Distribution Systems
• Hydraulic Transients
• Pipe Fatigue Analysis
• +۵ مورد دیگر

Dr Richard Collins is a Senior Lecturer in Water Engineering at the University of Sheffield , affiliated with the School of Mechanical, Aerospace and Civil Engineering. His research focuses on hydraulic transients , pipeline integrity , and smart water infrastructure . Graduated with an Aerospace Engineering degree (2005) and PhD in Materials and Mechanical Engineering (2009) Current research explores pressure transients , leak detection , and autonomous robotic systems for pipeline inspection Projects include fatigue analysis , biofilm mobilisation , and ultrasound-based pipe assessment His publications emphasize cast iron pipe fatigue , acoustic leak detection , and transient-induced contamination . Funded by RCUK and Datatecnics , his work bridges mechanical engineering and civil infrastructure challenges.