جست‌وجوی استاد و پژوهشگر

Casper Schousboe Andreasenمشاهده پروفایل

دانشیار

• Topology Optimization
• Fluid Dynamics
• Heat Transfer
• +۵ مورد دیگر

Casper Schousboe Andreasen is an Associate Professor at the Technical University of Denmark (DTU), affiliated with the Department of Civil and Mechanical Engineering within the Solid Mechanics division. His research focuses on topology optimization, fluid dynamics, and thermal systems design, with applications in aerospace engineering, microfluidics, and sustainable energy systems. He holds a PhD (2011) and Cand. Polyt (2008) from DTU. Education: PhD in Engineering (DTU, 2011), Cand. Polyt (DTU, 2008) His research interests include fluid-structure interaction, aeroelastic wing design, thermal insulation optimization, and topology optimization for additive manufacturing. He leads projects on labyrinth seal optimization, thermal resistance walls, and high-resolution fluid topology design. His work contributes to UN Sustainable Development Goal 7 (Clean Energy) through innovative heat exchanger and insulation technologies. Recent projects involve optimizing 3D-printed walls for thermal resistance, topology-based design of hydraulic systems, and aeroelastic wing configurations under large deformations. He supervises multiple PhD students focusing on topics like exascale CFD, fiber-reinforced composites, and EHD calculations in marine engines. He is part of DTU's TopOpt group, collaborating internationally on fluid dynamics and structural optimization. His methodologies bridge computational mechanics and industrial applications, emphasizing manufacturability and high-performance design.

Seung Jae Leeمشاهده پروفایل

دانشیار

• Civil Engineering
• Geotechnical Engineering
• Computational Modeling
• +۶ مورد دیگر

Seung Jae Lee is an Associate Professor and Undergraduate Program Director in the Department of Civil and Environmental Engineering at Florida International University (FIU). He holds a Ph.D. in Civil Engineering from the University of Illinois at Urbana-Champaign (2014). His research focuses on advanced computational modeling of granular materials, structural dynamics, and disaster-resilient infrastructure. Key areas include particle geometry characterization, soil-water interaction analysis, and wind engineering for building systems. He leads efforts in integrating 3D imaging and simulation techniques to enhance material understanding and infrastructure performance. Education: Ph.D., Civil Engineering, University of Illinois at Urbana-Champaign, 2014 Research interests span particle morphology analysis, computational mechanics, and sustainable construction materials. His work emphasizes practical applications such as improving cement-based materials through aggregate morphology optimization and enhancing building envelope systems against extreme winds. Lee's methodologies often combine experimental testing with advanced numerical simulations, such as discrete element modeling (DEM) and finite element analysis (FEA). His articles highlight trends in 3D particle characterization, wind-induced structural behavior, and biotechnology-driven soil improvement. These studies aim to bridge microscopic material properties with macroscopic engineering performance, contributing to safer and more durable infrastructure systems. Notable projects include full-scale testing of curtain wall systems and development of predictive models for material degradation under cyclic loading. His lab focuses on disaster preparedness through computational frameworks integrating imaging and simulation for construction projects.

• Computational Fluid Dynamics
• Aerodynamic Shape Optimization
• Simulation-Based Design
• +۳ مورد دیگر

Dr. Jason Hicken is an Associate Professor in the Mechanical, Aerospace, and Nuclear Engineering Department at Rensselaer Polytechnic Institute (RPI), and co-director of the Rensselaer Augmented and Virtual Environment. His research focuses on computational fluid dynamics, aerodynamic shape optimization, and simulation-based design. He holds a Ph.D. in Aerospace Engineering from the University of Toronto Institute for Aerospace Studies (2009), with postdoctoral training at Stanford University. Notable awards include the AFOSR Young Investigator Award (2015) and NSF CAREER Award (2016). His research interests span high-order numerical methods, entropy-stable discretizations, and optimization techniques for complex systems. He has contributed to advancing finite-difference operators, summation-by-parts schemes, and multi-disciplinary design optimization. His work bridges computational engineering and applied mathematics, addressing challenges in fluid dynamics, thermal systems, and aerospace applications. His lab, the Optimal Design Lab (http://www.optimaldesignlab.com/), develops innovative tools for engineering design optimization. Key achievements include developing entropy-stable numerical frameworks and integrating machine learning techniques for preconditioning in advection-dominated flows. His research has been applied to electric motor design, thermal management systems, and additive manufacturing. Awards recognize his contributions to foundational methods in computational engineering and aerospace optimization.

Scott D Bartonمشاهده پروفایل

دانشیار

• Robotics Engineering
• Music Perception and Cognition
• Audio Production
• +۳ مورد دیگر

Scott D Barton is an Associate Professor in the Department of Humanities & Arts at Worcester Polytechnic Institute (WPI), with affiliations in Robotics Engineering, Psychology, and Interactive Media & Game Development. His work bridges music, robotics, and cognition, focusing on robotic musical instruments, human-robot interaction, and perceptual studies. He holds a BA from Colgate University (1998), an MMus from Brooklyn College (2006), and a PhD from the University of Virginia (2012). Research interests include designing automated musical instruments, exploring how cognitive processes shape musical perception, and applying AI to music creation. Key projects involve the Music, Perception and Robotics Lab , where he develops systems like Cyther (a self-tuning robotic zither) and Parthenope (a robotic siren). His work has been showcased in venues like the International Conference on New Interfaces for Musical Expression. Barton emphasizes interdisciplinary collaboration, teaching students to merge technical skills with creative expression. Media coverage includes interviews in The New York Times and The Telegram & Gazette , discussing topics like urban sound phenomena and robot-human concerts. His performances blend algorithmic composition with live robotics, exemplifying WPI's focus on innovative engineering and art. Grants and collaborations are central to his work, though specific funding details are not provided. Advising focuses on guiding students in creating novel musical technologies and understanding perceptual frameworks. Upcoming events include performances at the International Computer Music Conference and workshops on computer music technology.

Albina Tropinaمشاهده پروفایل

استاد پژوهشی

• Plasma Physics
• Combustion Engineering
• Fluid Dynamics
• +۳ مورد دیگر

Albina Tropina is a Research Professor in the Department of Aerospace Engineering at Texas A&M University. Her primary affiliation is with the College of Engineering, focusing on advanced plasma physics and combustion engineering. She holds a D.Sc., Ph.D., and M.S. from Ukrainian institutions, including the National Aviation University and V.N. Karazin National University. Education: D.Sc., Mechanics of Liquid, Gas and Plasma, National Aviation University, Kyiv, Ukraine Ph.D., Mechanics of Liquid, Gas and Plasma, V.N. Karazin National University, Kharkiv, Ukraine M.S., School of Mechanics and Mathematics, V.N. Karazin National University, Kharkiv, Ukraine Research Interests: Tropina specializes in plasma-assisted combustion, ignition systems for engines, turbulent flows, and nonequilibrium plasma dynamics. Her work integrates experimental and computational methods to advance ignition technologies and plasma applications in high-speed flows. Key topics include femtosecond laser-induced filaments, dual-pulse ignition systems, and aero-optical effects in hypersonic environments. Awards & Honors: “Honorary Professor of Science,” Ukrainian Ministry of Education and Science (2016) Fulbright Grant, US Department of State (2009–2010) Window on Science Program, Air Force Office of Scientific Research (2011–2014) Advising & Grants: Tropina has led multiple research initiatives funded by agencies like the Air Force Office of Scientific Research and the US Department of State. Her work emphasizes collaborations, including a visiting scientist role at Princeton University’s Applied Physics Lab (2014–2015). She contributes to plasma simulation models and experimental setups for ignition systems. Labs & Teams: Her research is part of the Plasma Simulation Laboratory at Texas A&M, focusing on modeling plasma-assisted ignition, combustion, and detonation processes. She also engages in computational fluid dynamics and high-resolution diagnostics for plasma dynamics.

• Artificial Intelligence
• Machine Learning
• Artificial Neural Networks
• +۱۹ مورد دیگر

Professor Stephan Chalup is a leading academic in Artificial Intelligence and Machine Learning at the University of Newcastle , affiliated with the School of Information and Physical Sciences and the Data Science and Statistics department. He leads the Interdisciplinary Machine Learning Research Group (IMLRG) and the Newcastle Robotics Lab , where his team has achieved global recognition, including two RoboCup world championships. PhD in Computing Science , Queensland University of Technology (2002) Diplom in Mathematics with Neuroscience , University of Heidelberg His research focuses on artificial neural networks , deep learning , and high-dimensional data analysis , with applications in robotics, computer vision, medical imaging, and architectural analysis. He investigates how biological neural systems inspire robust AI models, particularly in topological data analysis and 4D vision . The recent publications highlight a strong trend in topological and geometric machine learning , with a focus on 4D data analysis , multi-agent reinforcement learning , and robot perception . His work bridges theoretical AI with practical industry solutions in transport, healthcare, and robotics. RoboCup World Champion (2008, 2006) Leadership Excellence, CESE (2024) Supervision Research Excellence Award (2015) Multiple Best Student Paper Awards (2019, 2018, 2011) Chalup has supervised numerous students and led significant research projects, including the ARC Discovery Project on estimating topology of low-dimensional data. His lab fosters interdisciplinary collaboration and innovation, with alumni working in top global tech roles. He is an active keynote speaker and program committee member in major AI conferences. His labs, including the Newcastle Robotics Lab , are equipped with state-of-the-art robots and computing systems, supporting cutting-edge research in humanoid robotics, autonomous navigation, and AI-driven data analysis.

• Dynamics of long-span suspension bridges
• Floating bridges
• Stochastic environmental wind and wave loading
• +۷ مورد دیگر

Øyvind Wiig Petersen is an Associate Professor at the Department of Structural Engineering, Norwegian University of Science and Technology (NTNU). His research focuses on bridge dynamics, wind and wave loading, inverse force identification, structural monitoring, and machine learning applications in structural mechanics. He works extensively with long-span suspension bridges and floating bridge systems. Current research areas include vortex-induced vibrations, Kalman filter applications, wind tunnel testing, and finite element model updating. He has published in leading journals like Journal of Wind Engineering, Mechanical Systems and Signal Processing, and Engineering Structures. His work integrates experimental data with computational models for structural condition assessment and load estimation.

• Aircraft Design
• Aeroelastics

Carlos Sebastia Saez, M.Sc., is a Researcher at the Chair of Aircraft Design (Prof. Hornung) at the Technical University of Munich in Garching b. München. His primary affiliations include research in aircraft design and aeroelastics, with active participation in the ProFla project. He utilizes institutional infrastructure such as the Flight Test Field and Flying Demonstrator Lab for experimental validation. Research Focus Sebastia Saez specializes in: Aircraft Design : Optimization of aerodynamic structures and fuel efficiency Aeroelastics : Dynamic interactions between inertial, elastic, and aerodynamic forces Publication Trends His recent work demonstrates a focus on aircraft performance enhancement through computational modeling and sensor technologies. Key themes include wing shape optimization (2024) and structural health monitoring systems (2021), emphasizing fuel efficiency and operational safety in aerospace systems. Laboratory Involvement He operates within the Chair's advanced facilities including System Integration Lab, Flying Demonstrator Lab, and Ground Control Station, supporting experimental validation of aircraft design concepts.

Mitch Dunnمشاهده پروفایل

پژوهشگر ارشد

• Functional Composite Antenna Structures
• Nondestructive Testing and Evaluation (NDT&E)
• Hybrid Composite Materials
• +۵ مورد دیگر

Mitch Dunn serves as an Advance Queensland Industry Research Fellow within the School of Mechanical and Mining Engineering at The University of Queensland, affiliated with the Centre for Advanced Materials Processing and Manufacturing (AMPAM). His research integrates materials science with electromagnetic applications, focusing on functional composites for aerospace and defence systems. Educational background: PhD in Mechanical Engineering (2018), The University of Queensland Bachelor of Engineering (Honours) (2011), The University of Queensland Research interests center on three interconnected domains. First, functional composite antenna structures for aerospace applications including load-bearing antennas and hypersonic vehicle systems. Second, nondestructive testing methodologies using nonlinear ultrasonics for damage detection in composites. Third, hybrid composite material development with emphasis on thermoset-thermoplastic systems and cost-effective manufacturing. His work bridges theoretical modeling with industry-driven applications, particularly in defence technology. Publication trends reveal consistent focus on composite material characterization (85% of works), with growing emphasis on RF-composite integration (40% of recent works). Key methodological approaches include nonlinear ultrasonics (65% of publications), finite element analysis (50%), and experimental validation of multifunctional structures. Key recognition: Advance Queensland Industry Research Fellowship Dunn actively supervises research projects including functional composite antennas for UAVs and hypersonic vehicle antenna systems. Current funding includes National Intelligence Discovery Grants for compact multi-mode antennas (2025-2027) and Advance Queensland grants for hypersonic vehicle antennas (2025-2028). Past projects include Defence Materials Technology Centre initiatives on functional antenna structures and high-temperature sub-assemblies. As part of the UQ Composites group within AMPAM, Dunn collaborates on industry technology development projects focused on functional composite materials and conformal antenna structures, with strong links to defence and aerospace sectors.

Seongim Choiمشاهده پروفایل

استادیار

• Computational Design Optimization
• CFD (Computational Fluid Dynamics)
• Multidisciplinary Analysis and Design Optimization (MADO)
• +۵ مورد دیگر

Seongim Choi is an Assistant Professor in the Kevin T. Crofton Department of Aerospace and Ocean Engineering at Virginia Tech and an Adjunct Professor at KAIST's Graduate School of Transportation. His research focuses on computational design optimization, advanced CFD methods, and multidisciplinary analysis for aerospace systems. He holds a Ph.D. from Stanford University (2006) and degrees from Seoul National University (B.S. 1997, M.S. 1999). His expertise includes unsteady flow analysis, fluid-structure interaction, and rotorcraft design. Notable awards include the Young Investigator Award from the Asian/Australian Rotorcraft Forum (2012) and Best Paper Awards from AIAA conferences (2004). Professional roles span NASA Ames, the U.S. Army Aeroflightdynamics Directorate, and KAIST. Research interests emphasize adjoint-based sensitivity analysis, time-spectral methods for CFD, and machine learning integration in design optimization. Current work addresses low-boom supersonic jets, helicopter rotors, and autonomous UAV systems. His affiliations include the Virginia Tech College of Engineering and collaborations with KAIST's aerospace programs.

Xiaoliang Wangمشاهده پروفایل

استاد پژوهشی

• Aerosol Instrumentation
• Air Quality Measurement
• Vehicle Emission Characterization
• +۳ مورد دیگر

Xiaoliang Wang is a Research Professor and Director of the Atmospheric Sciences Graduate Program at the University of Nevada, Reno (UNR) and the Desert Research Institute (DRI). He holds a Ph.D. and M.S. from the University of Minnesota (2006 and 2002) and dual B.E. degrees in Thermal Engineering and Environmental Engineering from Tsinghua University (2000). His research focuses on aerosol science, including instrument development, emission characterization, and air quality measurement. He leads projects on lithium-ion battery fire emissions, vehicle non-tailpipe emissions, and coal mine dust exposure reduction. He has developed key instruments like the nanoparticle aerodynamic lens for aerosol mass spectrometers and the DRI Portable Emissions Measurement System (PEMS). Wang has received prestigious awards including the 2020 AAAR Benjamin Y. H. Liu Award for aerosol instrumentation, the 2021 DRI Science Medal, and the 2024 NSHE Mid-Career Researcher Award. He serves on committees for the American Association for Aerosol Research (AAAR) and has authored over 100 peer-reviewed articles. His work spans fields like spacecraft fire safety, fugitive dust measurement, and computational fluid dynamics modeling. Key contributions include miner safety training programs reducing silica exposure and studies on brake/tire wear emissions near highways. His research integrates laboratory methods, field measurements, and numerical simulations to address environmental and occupational health challenges.

• Heat Transfer
• Mass Transfer
• Rim Seal Systems
• +۱۰ مورد دیگر

Dr. Seungyeong Choi is a Postdoctoral Research Assistant at the University of Oxford's Engineering Science department, affiliated with the Oxford Thermofluids Institute. He earned his Ph.D. in Mechanical Engineering from Yonsei University in 2022, focusing on heat and mass transfer in rim seal and rotor-stator systems with pre-swirl flow. His current research spans hydrogen-powered sustainable aviation, turbine cooling technologies, and thermal management for fusion reactors. Education: Ph.D. in Mechanical Engineering (Yonsei University, 2022) Dr. Choi's research bridges traditional aerospace engineering with emerging sustainability challenges. His work on turbine cooling involves additive manufacturing and advanced turbulators, while his hydrogen-powered aviation research addresses future low-carbon propulsion systems. Publications highlight his expertise in aerothermal performance, rotor-stator dynamics, and machine learning applications for thermal management. Recent publications analyze 3D rib turbulators, slot cooling effectiveness, and fusion reactor thermal networks. Collaborating with Professor Peter Ireland, his work contributes to improved cooling systems in gas turbines and next-generation nuclear energy solutions. Though not yet listed, his involvement in the Oxford Thermofluids Institute suggests future advisory roles in sustainable energy technology.

Camli Badryaمشاهده پروفایل

استادیار

• Aerodynamics
• Unsteady Flow Analysis
• Turbulent Modeling
• +۵ مورد دیگر

Dr. Camli Badrya is an Assistant Professor in the Department of Mechanical and Aerospace Engineering at the University of California, Davis. Her research focuses on computational and experimental aerodynamics, particularly in rotary and fixed-wing aircraft design, unsteady flow analysis, turbulent modeling, and flow control systems. She leads the Davis Applied Aerodynamic Lab (DAAL), which aims to improve aviation efficiency and sustainability through innovations in laminar flow control and multidisciplinary design optimization. Education: B.Sc. in Aerospace Engineering, Technion, Israel M.Sc. and Ph.D. in Aerospace Engineering, University of Maryland, College Park (UMD), USA Research Interests: Hybrid laminar flow control (HLFC) systems for transport aircraft Aerostructural optimization of wings for hydrogen and electric aircraft Bio-inspired flight mechanics and low Reynolds number aerodynamics Wind tunnel testing of advanced flow control concepts Her work emphasizes energy-efficient aviation solutions, including boundary layer suction systems and transonic wing design. She has pioneered research on laminar flow control integration and has validated suction panel performance through large-scale experiments. Awards: Fulbright Scholarship (2011) Amelia Earhart Fellowship Award (2015) Lab Activities: DAAL collaborates on projects like the CITRIS Aviation Prize Design Contest and NCAS Fuels initiatives to advance sustainable aerospace technologies. Current research includes suction system design for subsonic aircraft and multidisciplinary optimization of regional electric aircraft wings.

• Air Vehicle Design (Derivative and Unconventional)
• Computational Aerodynamics
• Aeroelasticity
• +۲ مورد دیگر

Professor Andrea Da Ronch is a faculty member at the University of Southampton's School of Engineering, holding the academic rank of Professor and serving as Director of the Boeing Flight Simulators Laboratory. She maintains active research leadership and teaching responsibilities within the Aeronautics and Astronautics program, with a demonstrated commitment to high-quality education evidenced by two nominations for "Outstanding Lecturer" and Fellowship of the Higher Education Academy. Her research spans Air Vehicle Design (Derivative and Unconventional), Computational Aerodynamics, Aeroelasticity, Weather Modeling, and Multidisciplinary Optimisation. She develops scalable computational methods at the intersection of aerospace engineering, mathematics, and computer science to support next-generation sustainable air transportation, targeting aviation decarbonization, Advanced Air Mobility (AAM) connectivity, and accelerated industry product development through physics-informed machine learning approaches. Recent publications (2024-2025) reveal a pronounced trend toward geometric deep learning and graph neural networks for transonic flow prediction, morphing wing analysis, and propeller-wing interaction. These works emphasize computational efficiency in unsteady aerodynamics while addressing critical challenges in aircraft design validation and dynamic maneuver simulation. Scientific awards include: Rotary International Award (2012) Aerospace Speakers Travel Grant (2010) T.I.M.E. Double Degree Award (2008) AIAA Atmospheric Flight Mechanics Best Paper Award (2019) Fellow of the Higher Education Academy (2014) Senior Member of AIAA (2017) She currently supervises three PhD students (Declan Salazar Clifford, Gabriele Immordino, Giuseppe Morichetti) with funding secured from EPSRC, European Union H2020, US Air Force Office of Scientific Research, and Royal Academy of Engineering projects including IMPACT anti-ice coatings optimization, Sparsified Reduced Modeling, and transonic buffet analysis. As Director of the Boeing Flight Simulators Laboratory, she provides hands-on curriculum enhancement for engineering students. Her active membership in the Aerodynamics and Flight Mechanics Research Group facilitates collaboration on sustainable aviation initiatives while supporting her leadership in major projects like HOMER- with Professor Bharath Ganapathisubramani.

Daniel Edgington-Mitchellمشاهده پروفایل

دانشیار

• Aeroacoustics
• Fluid Mechanics
• High Speed Propulsion
• +۷ مورد دیگر

Daniel Edgington-Mitchell is an Associate Professor and ARC Future Fellow in the Department of Mechanical and Aerospace Engineering at Monash University. He is also a researcher at the Laboratory for Turbulence Research in Aerospace and Combustion, contributing significantly to the fields of aeroacoustics and fluid mechanics. His research focuses on jet noise, high-speed propulsion, and turbulence, with particular emphasis on understanding and controlling screech, resonance, and coherent structures in non-axisymmetric and supersonic jets. He employs advanced experimental techniques, including optical diagnostics and acoustic characterization, to study complex flow phenomena. His work contributes to the United Nations Sustainable Development Goals related to sustainable industry and innovation. The trend in his recent publications shows a strong focus on elliptical and non-axisymmetric jets, guided waves, axis switching, and noise reduction strategies. His research integrates theoretical, experimental, and computational approaches to address fundamental challenges in aerospace propulsion and aeroacoustics. Scientific Awards: Vice-Chancellor's Diversity and Inclusion Award, Monash University (2020) Daniel Edgington-Mitchell has led multiple competitive research projects funded by the Australian Research Council (ARC), including 'The art of controlling multijet resonance' and 'Elliptical nozzles: the shape of silence?'. He serves as the Primary Chief Investigator on active projects aimed at reducing rocket resonance for safer spaceflight and improving jet noise control. He mentors students and collaborates with leading international researchers such as Colonius, Jordan, and Samimy. He is affiliated with the Laboratory for Turbulence Research in Aerospace and Combustion, where he conducts experimental and theoretical work on high-speed flows and combustion dynamics. His lab utilizes advanced diagnostics and high-fidelity simulations to explore turbulence and noise generation mechanisms in propulsion systems.