جست‌وجوی استاد و پژوهشگر

• Environmental Acoustics
• Bioacoustics
• Outdoor Noise Prediction
• +۴ مورد دیگر

Guillaume Dutilleux is a Professor in the Department of Electronic Systems at the Norwegian University of Science and Technology (NTNU) in Trondheim. His research focuses on environmental acoustics, bioacoustics, and noise prediction methods. He holds a PhD in Building Acoustics from Lyon I University (1999) and has worked at Cerema Est in France before joining NTNU in 2016. Education: BSc in Computer Science (ENTPE, 1994) MSc in Acoustics and Vibrations (INSA Lyon, 1994) PhD in Building Acoustics (Lyon I University, 1999) BSc in Biology (Strasbourg University, 2007) Research Interests: Engineering-grade outdoor noise prediction Acoustic monitoring of endangered species Impacts of anthropogenic noise on ecosystems Time-domain acoustic system analysis Wind turbine and transportation noise effects 3D acoustic tracking and biodiversity assessment Recent Research Trends: His publications emphasize advancements in acoustic prediction models (e.g., sound emergence theory, tensor LMS algorithms), bioacoustic tracking of wildlife (e.g., spadefoot toads, bird flight displays), and regulatory noise compliance (e.g., CNOSSOS-EU alignment). Collaborations with engineers and ecologists highlight interdisciplinary approaches to noise pollution and biodiversity challenges. Teaching & Outreach: Teaches courses on bioacoustics, acoustic measurement techniques, and electronic systems design at NTNU Active in international acoustics conferences (e.g., ICBEN, Euronoise) Develops hands-on experimental training programs for students Labs & Teams: His work integrates acoustic software development, field monitoring systems, and interdisciplinary collaborations with environmental scientists and engineers.

Paul Cizmasمشاهده پروفایل

استاد

• Propulsion
• Unsteady Aerodynamics
• Computational Fluid Dynamics
• +۷ مورد دیگر

Paul Cizmas is a Professor in the Department of Aerospace Engineering at Texas A&M University, part of the College of Engineering. He holds a Ph.D. from Duke University (1995) and a Dipl.-Ing. from the Polytechnic Institute, Bucharest (1984). His research focuses on propulsion systems, computational fluid dynamics (CFD), unsteady aerodynamics, and aeroelasticity, with a strong emphasis on reduced-order models and thermal management in turbomachinery. He has authored influential books like Aerothermodynamics and Jet Propulsion (Cambridge University Press, 2022). Dr. Cizmas leads research on sonic boom reduction, turbulence modeling, and combustion mechanisms. His work integrates advanced numerical methods, such as proper orthogonal decomposition (POD), to enhance computational efficiency in simulating complex flows. He has contributed to the development of the UNS3D CFD solver, validated through AIAA workshops. Awards include the Boeing Research and Technology Performance Award (2018) and the Herbert H. Richardson Faculty Fellowship (2009). Education: Ph.D., Duke University, 1995 Dipl.-Ing., Polytechnic Institute, Bucharest, 1984 Awards: Research and Technology Performance and Innovation Award (Boeing, 2018) Structures and Dynamics Committee Best Paper Award (ASME, 2011) Herbert H. Richardson Faculty Fellow Award (Texas A&M, 2009) His advising and grants focus on CFD applications in propulsion, with collaborations spanning academic and industrial partners. He directs the Computational Fluid Dynamics for Aerospace Applications group, advancing methodologies for low-boom aircraft design and multiphase flow dynamics. His lab develops open-source software tools for turbulence modeling and reduced-order simulations.

Hassan Saad Iftiمشاهده پروفایل

استادیار

• Hypersonics
• Transpiration Cooling
• Porous Media Flow
• +۴ مورد دیگر

Hassan Saad Ifti is an Assistant Professor in the Department of Aerospace Engineering at Texas A&M University, affiliated with the College of Engineering. His research focuses on hypersonics, transpiration cooling, and boundary-layer dynamics. He holds a D.Phil. from the University of Oxford (2022), an M.Sc. (2016), and a B.Sc. (2014) in Aerospace Engineering from the University of Stuttgart. Research interests include analytical and numerical modeling of transpiration cooling systems, shock-boundary layer interactions, and porous media flow phenomena. His work addresses thermal protection challenges in hypersonic flight through experimental and computational methods. Key publications (2022-2023) investigate transpiration cooling mechanisms in hypersonic boundary layers, combining experimental validation with numerical simulations. He has contributed to understanding coolant distribution dynamics and material behavior under extreme conditions. Currently no scientific awards or grants are explicitly listed. Office location: HRBB 611C, Texas A&M University.

Akhil Datta-Guptaمشاهده پروفایل

استاد

• Flow Simulation
• Reservoir Optimization
• Parameter Estimation
• +۳ مورد دیگر

Akhil Datta-Gupta is University Distinguished Professor, Regents Professor, and L.F. Peterson '36 Chair in the Harold Vance Department of Petroleum Engineering at Texas A&M University, with joint affiliation in Chemical Engineering. A National Academy of Engineering member, he holds a Ph.D. (1992) and M.S. (1985) from University of Texas at Austin, and a B.S. (1982) from Indian School of Mines. Research focuses on rapid flow simulation, reservoir optimization, inverse modeling for parameter estimation, and uncertainty quantification. Specific methodologies include streamline simulation applications and data integration across scales. Additional interests encompass geostatistics, enhanced oil recovery modeling, and subsurface imaging. Honors include SPE Honorary Membership, John Franklin Carll Award, Lester C. Uren Award, and DOE recognition for contributions to geosciences. Publications demonstrate consistent innovation in reservoir simulation, with recent expansion into machine learning applications for subsurface challenges and materials science.

Raj Dasمشاهده پروفایل

استاد

• Computational Mechanics
• Structural Optimization
• Composite Materials
• +۴ مورد دیگر

Professor Raj Das is a Full Professor of 'Structures and Materials' and Deputy Head of Department (Research & Innovation) at RMIT University's School of Engineering. He leads the 'Simulation of Advanced Materials and Structures (SAMS)' research group and serves as Program Director for Aerospace Engineering and Aviation. His roles include honorary academic positions at the University of Auckland and University of Quebec. He holds over 20 years of expertise in computational mechanics, composite materials, and structural optimization, with over 350 publications. Das chairs national committees like the National Committee on Applied Mechanics (Engineers Australia) and international roles such as President of the International Congress on Mechanical Behaviour of Materials (ICM). His research focuses on advanced materials, additive manufacturing, and aerospace structures, addressing sustainability through lightweight composites and metamaterials. Education: PhD in Applied Mechanics from Monash University. Prior roles include positions at the University of Auckland, CSIRO, and University of Manchester. Research Interests: Composite materials, metamaterials, additive manufacturing, fracture mechanics, computational modeling. Key Awards: Sir George Julius Medal (2023), Computational Methods Award (ICCM), Jim & Hazel D. Lord Fellowship (2011). Grants/Industry: Collaborations with global industries and institutions on projects like fire-resistant composites and AM alloys. Teaching: Courses in composite materials, finite element methods, and structural analysis at RMIT and the University of Auckland. Supervises PhD projects on topics like hybrid composites and topology optimization. Labs/Teams: Leads SAMS Group and affiliated with Sir Lawrence Wackett Research Centre. Engages in initiatives like Au-Manufacturing Forum and DSI News.

Aaron McFadyenمشاهده پروفایل

مدرس ارشد

• Unmanned Traffic Management
• Aerospace Engineering
• Robotics
• +۳ مورد دیگر

Dr. Aaron McFadyen is a Senior Lecturer in the School of Electrical Engineering & Robotics at Queensland University of Technology (QUT), with a focus on aerospace engineering, robotics, and control systems. He holds a PhD from QUT and has extensive industry experience in flight simulation and autonomous systems research. His research emphasizes unmanned traffic management (UTM), air traffic modeling, and quantitative risk analysis, with applications in drone integration and airspace safety. He has secured over $1.5M in research funding and led projects for organizations like Airservices Australia and CASA. Key achievements include developing Australia's Automated Airspace Authorization system and winning the 2019 IEEE/AIAA Best Unmanned Traffic Management Paper Award. Education: PhD in Robotics and Autonomous Systems (QUT), Private Pilot License (CASA), and qualifications in aerospace engineering. Professional memberships include IEEE, JARUS, and the Control System Society. Research interests span UTM systems, collision risk modeling, and control systems for autonomous vehicles. His work bridges academia and industry, addressing challenges in air traffic management and robotics. Recent publications focus on nonlinear control, airspace risk analysis, and multi-agent systems. He has supervised undergraduate, masters, and PhD students in aerospace and robotics. Awards include the ARC DECRA Fellowship (2020) and Advance Queensland Mid-Career Fellowship (2020). His lab collaborations include the Australian Research Centre for Aerospace Automation (ARCAA) and ETH Zurich's Autonomous Systems Lab.

Pablo Nogueiraمشاهده پروفایل

مدرس

• Programming Language Theory
• Programming Language Design
• Programming Language Implementation
• +۹ مورد دیگر

Pablo Nogueira is a Permanent Lecturer and Researcher at the Technical University of Madrid, Spain. He is affiliated with the School of Computer Engineering (E.T.S.I. Informáticos) and the Department of Computer Languages and Systems and Software Engineering. His research focuses on foundational aspects of computer science, with extensive teaching experience across diverse programming paradigms and technical domains. Research Interests: His work spans programming language theory, design, and implementation, with specialized expertise in logic-based computer science, lambda calculi, operational semantics, and program transformation techniques. Key innovations include full-reducing abstract machines, proof-directed debugging methodologies, variable-free unification using relational algebra, datatype-generic functional programming, and advanced parsing techniques. Technology Transfer: He has led projects developing virtual-reality simulators for education and public safety, with a patent pending for delta-wing hang glider flight simulation technology (WO/2025/032276). Additional contributions include synthetic content generation for neural network training and applications in educational neuroscience.

• Aerospace Engineering
• Optimal Control Theory
• Air Traffic Management
• +۵ مورد دیگر

Manuel Fernando Soler Arnedo is a Full Professor in the Aerospace Engineering Department at Carlos III University of Madrid's College of Engineering. His research focuses on Aerospace Engineering with specialization in Optimal Control Theory , Climate Impact Mitigation , and Artificial Intelligence applications for air traffic systems. He leads the Aerospace Engineering Research Group and has contributed extensively to Flight Trajectory Optimization , Weather-Induced Uncertainty , and Network-scale Conflict Resolution . Principal Researcher on EU-funded projects like F4EClim (2024-2027) and KAIROS (2023-2026) Key international collaborations with NEXTOR (UC Berkeley) and ETH Zurich Developed tools like CLIMaCCF V1.0 and ROOST V1.0 for climate-aware flight planning His work integrates Artificial Intelligence with Climate Modeling to address 4D Trajectory Planning , Thunderstorm Avoidance , and Non-CO2 Emission Reduction in aviation. Recent publications emphasize Robust Optimization under meteorological uncertainty and Deep Learning for traffic flow management. He has supervised theses on Data Science for Weather Mitigation and Multi-objective Space Mission Design , with grants from European Commission , Boeing , and Spanish government agencies .

• Aeronautics
• Materials Science and Engineering
• Mechanical Engineering
• +۴ مورد دیگر

Andrea Cini serves as an Assistant Professor in the Department of Aerospace Engineering within the School of Engineering at Universidad Carlos III de Madrid (UC3M). His academic profile is centered on advanced aerospace materials and sustainable aircraft design, with strong industry collaborations including Airbus, Aernnova, and European Commission-funded initiatives. His research spans fatigue and fracture mechanics of aerospace alloys , hybrid-electric propulsion integration , and additive manufacturing for aircraft components . Key projects include ODE4HERA (Open Digital Environment for Hybrid-Electric Regional Architecture) funded by the European Commission (2024-2026), TIFON (AI for Design and Manufacturing), and CETACEO with Airbus Defence and Space. His experimental and computational work focuses on improving structural integrity through laser shock peening, composite crashworthiness, and vibration analysis of 3D-printed metals. Dr. Cini's publication trends reveal a strategic shift toward sustainable aviation (2022-2025), with 60% of recent work addressing hybrid-electric retrofitting and hydrogen propulsion systems. Earlier research (2009-2017) established his expertise in aluminum alloy fatigue mechanisms, particularly scratch-induced cracking in 2024-T351 sheets used in aircraft skins. His subfield specializations consistently emphasize real-world aerospace applications, from fuselage stanchion crashworthiness to joined-wing assembly solutions for next-gen aircraft. Major research funding includes: European Commission grants (ODE4HERA, INDIGO, ALARM) Spanish National Agency projects (TIFON, Hydrogen Powertrain Development) Industry contracts with Airbus, Aernnova, and Stargate Hydrogen Solutions International collaborations with Politecnico di Torino and CIRA His laboratory work integrates experimental fatigue testing with advanced FEM simulations, notably in the Rear End Virtual Testing Digital Twin project for Aernnova. Current efforts focus on digital twins for hydrogen-powered aircraft and AI-driven design optimization under the TIFON initiative.

Anders Blomdellمشاهده پروفایل

استاد

• Control Systems
• Real-Time Systems
• Embedded Systems
• +۷ مورد دیگر

Anders Blomdell is a Professor in the Department of Control Engineering at the Faculty of Engineering, Lund University. His work bridges theoretical control systems with practical applications in real-time, embedded, and cloud-based environments. He is actively involved in research projects focusing on autonomous systems, industrial automation, and networked control. His research interests include Control Systems , Real-Time and Embedded Systems , Networked Control , Industrial Automation , Robotics , and Cloud-Controlled Systems . These areas reflect his focus on scalable, adaptive, and secure control solutions for complex, interconnected systems. The recent publications highlight a strong trend toward event-based control , large-scale optimization , autonomous adaptation , and secure cloud integration . His work often combines control theory with computer science, particularly in distributed and real-time settings, showing a consistent effort to address challenges in latency, scalability, and robustness. Scientific Awards: Advising and Grants: While specific students are not listed, Anders Blomdell leads and participates in major research initiatives such as WASP, ELLIIT, and the Nordic University Hub on Industrial Internet of Things (HI2OT). These projects involve significant funding and collaboration with industry and academia, indicating active mentorship and leadership in training next-generation researchers. Labs and Teams: He is associated with RobotLab LTH and contributes to the development of tools like TrueTime and LabComm , which are widely used in real-time and networked control research. His work supports both academic and industrial innovation in automation and intelligent systems.

• Metamaterials Design
• Aerospace Technology
• Acoustic Materials
• +۸ مورد دیگر

Huina Mao is an Assistant Professor at the Department of Engineering Mechanics, KTH Royal Institute of Technology. She works within the School of Aerospace, Maritime and Transport Engineering and focuses on metamaterials design and aerospace technology. Her research includes numerical modeling of acoustic metamaterials, inverse estimation methods, and sustainable structural design. She has contributed to projects like the AERIALIST initiative for noise reduction in turbofan nacelles and the SEAM project involving nanosatellite development. She teaches courses such as Experimental Structure Dynamics and Spacecraft Dynamics. Education: PhD in Engineering Mechanics from KTH (2017), post-doctoral research (2017-2021) focused on acoustic metamaterials and finite element modeling. Key research interests include metamaterials for aerospace applications, structural dynamics, and sustainable design. Her work integrates machine learning, 3D printing, and computational methods. Recent publications (2025-2020) emphasize structural identification frameworks, anisotropic metamaterials, and vibration suppression. She collaborates with industry via the KTH Industrial Transformation Platform. No scientific awards listed, but active in funded EU projects and academic-industry partnerships.

Alexandre David-Urazمشاهده پروفایل

استادیار

• Stellar Astrophysics
• Massive Stars
• Stellar Winds
• +۱۱ مورد دیگر

Dr. Alexandre David-Uraz is an Assistant Professor in the Department of Physics at Central Michigan University, joining the faculty in Fall 2024. He is affiliated with the College of Science and Engineering and conducts research at the intersection of observational astrophysics and theoretical modeling. His primary research interests include: Stellar astrophysics, particularly hot massive stars Multiwavelength observations (photometric, spectroscopic, spectropolarimetric) Stellar winds and their interaction with large-scale magnetic fields Time-domain studies using space-based photometry Progenitors of compact objects and gravitational wave sources Dr. David-Uraz employs both observational data and numerical simulations to investigate the evolution and environments of massive stars, contributing to our understanding of galactic chemical and energetic feedback processes. His work is particularly timely in the era of multi-messenger astronomy. Although recent publications are referenced, specific titles were not listed in the available text. Dr. David-Uraz has been recognized through competitive postdoctoral appointments, but no specific scientific awards are mentioned in the provided information. He advises students in astrophysics and related fields, though no current or former students are named. His research may involve collaboration with space agencies and observatories, particularly through his prior work at NASA Goddard Space Flight Center, but no formal lab or research team is described in the text.

• Aerospace Mechanics
• Orbital Maneuvering
• Autonomous Guidance and Navigation
• +۴ مورد دیگر

Prof. Marcello Romano is a Full Professor of Astrodynamics at the TUM School of Engineering and Design (Technical University of Munich). He previously served as a tenured professor and founding director of the Spacecraft Robotics Lab at the Naval Postgraduate School (2004–2024), with visiting roles at TUM, NASA Ames, and Stanford. His research integrates theoretical work with simulations, experiments, and flight tests in aerospace mechanics, orbital robotics, and space sustainability. Education: PhD in Aerospace Engineering, Politecnico di Milano (2001) Postdoctoral Fellowship, US National Research Council Research focuses on satellite dynamics, autonomous guidance, space system development, and robotic debris removal. He advocates for entrepreneurial innovation in space technology transfer. Awards: 2025: T-Tec Open Innovation Initiative 2021: Patti Grace Smith Award 2021 & 2006: Menneken Research Awards 2011: Exceptional Research Achievement (NPS) His Spacecraft Robotics Lab pioneered orbital robotics and mission design. Though no formal advisee list is provided, his labs and collaborations imply extensive mentorship. Active in international academies, he is a Fellow of AIAA and member of the International Academy of Astronautics.

• Trauma
• Simulation and team dynamics
• Critical care nursing
• +۳ مورد دیگر

Elizabeth Leonard is a Lecturer at the Sydney Nursing School, University of Sydney, specializing in emergency and trauma nursing education. She also serves as the Trauma Coordinator at Royal Prince Alfred Hospital and works part-time as a flight nurse for medical and trauma retrievals. Education: Master of Nursing (Critical Care) from University of Sydney, Master of Nursing (Nurse Practitioner) from Sydney University, and Bachelor of Nursing from University of Newcastle Her research interests focus on: Trauma care systems Alcohol-related trauma outcomes Cycling injury prevention Critical care nursing practices Medical simulation training Recent publications analyze alcohol's impact on trauma recovery, trauma verification standards, AUDIT-C screening tools, and cyclist safety trends. She collaborates with multidisciplinary teams across NSW trauma committees and maintains active clinical roles in emergency nursing. NSW Institute of Trauma and Injury Prevention Australian Trauma Team Training Course (faculty/coordinator) NSW Nurses Registration Board Nurse Practitioner Panel Royal Prince Alfred Hospital Trauma Committee

Ramón García Alarciaمشاهده پروفایل

پژوهشگر

• Space Mission Design
• Systems Engineering
• Generative AI Applications
• +۳ مورد دیگر

Ramón García Alarcia is a Research Associate and Doctoral Candidate at the Chair of Spacecraft Systems, Technical University of Munich (TUM), under Prof. Alessandro Golkar. He holds dual Bachelor's degrees in Aerospace and Telecommunication Systems Engineering from the Polytechnic University of Catalonia (UPC), and a Master's in Aerospace Engineering (Space Systems specialization) from ISAE-SUPAERO. His research focuses on applying Large Language Models (LLMs) to streamline space mission design, particularly in requirements generation and high-level documentation. This work aims to reduce costs and democratize access to space. Key areas include generative AI for complex systems, autonomous space systems, and federated satellite networks. Ramón teaches courses on spacecraft systems, including 'Design and Simulation of Microsatellites' and 'Systems Engineering – Advanced.' He has authored/co-authored over a dozen peer-reviewed publications, covering topics like AI-driven mission design tools, event-based cameras for situational awareness, and telecommunication network analysis. His doctoral project involves developing a prototype AI-assisted mission design tool, leveraging generative models to enhance efficiency in early-stage spacecraft planning. Collaborations span institutions like ISAE-SUPAERO and UPC, with a focus on interdisciplinary aerospace challenges.