جست‌وجوی استاد و پژوهشگر

Liang Chengمشاهده پروفایل

استاد

• Cyber-Physical Systems (CPS)
• Internet of Things (IoT)
• AI/ML Applications
• +۷ مورد دیگر

Dr. Liang Cheng is the Department Chair and Professor in the Department of Electrical Engineering and Computer Science at the University of Toledo. He leads a department with ~700 students across CS, CSE, and EE programs. His research focuses on Cyber-Physical Systems (CPS), IoT, AI/ML, and intelligent infrastructure, supported by over $30M in funding from NSF, DOE, DOT, and industry. Notable projects include CPS Breakthrough initiatives and underground sensing systems. He co-edited a multidisciplinary book on Underground Sensing and contributed to smart grid cybersecurity. Dr. Cheng has held leadership roles at Lehigh University, shaping faculty governance and equity policies. His 100+ publications span networking, real-time systems, and sensor networks. He advises on funded projects totaling $30M+ and has pioneered pedagogical approaches in computer science education. Research Interests: Cyber-Physical Systems (CPS): Focuses on autonomous drones, energy systems, and real-time infrastructure Networking: Expertise in TSN, DTN, and wireless protocols Cybersecurity: SCADA systems, PLC attack detection, and blockchain energy modeling Underground Sensing: Geo-sensing via wireless signals and subsurface tomography Grants & Projects: Over 20 sponsored projects including NSF CPS Breakthrough (2018-2023), ABB smart grid projects, and DARPA-funded EDIFY systems. Key contributions include reconfigurable wireless architectures and network calculus tools for real-time systems. Teaching: Courses span senior design, compiler design, parallel computing, and wireless sensor networks. Developed pedagogical patterns for non-CS programming education. Awards: Recognized for leadership in academic governance and interdisciplinary research collaboration.

Adriana Schulzمشاهده پروفایل

استادیار

• Computational Design
• Computer-Aided Design (CAD)
• Digital Fabrication
• +۴ مورد دیگر

Adriana Schulz is an Assistant Professor in the Department of Computer Science & Engineering at the University of Washington's College of Engineering. She leads a research group focused on computational design, computer-aided design (CAD), and digital fabrication. Her work bridges computer science with practical applications in manufacturing, robotics, and sustainable design. Dr. Schulz received her Ph.D. in Computer Science from MIT in 2018 under the supervision of Professor Wojciech Matusik. Prior to her doctoral studies, she earned a Master's degree in Mathematics from IMPA (Instituto Nacional de Matemática Pura e Aplicada) in Rio de Janeiro, where she worked with Professor Luiz Velho, and a Bachelor's degree in Electronics Engineering from UFRJ (Federal University of Rio de Janeiro). Her research interests center around computational tools that enhance design and manufacturing processes. She develops novel algorithms for CAD systems, computational fabrication techniques, and sustainable design approaches. Her work spans multiple domains including robotics, textiles, electronics, and architecture, with a strong emphasis on creating practical tools that designers and engineers can use in real-world applications. She explores how machine learning, particularly neurosymbolic approaches, can improve design workflows and enable new capabilities in computational design systems. Analysis of her recent publications reveals a strong trend toward more intelligent and user-centered design tools. Her research increasingly integrates machine learning with traditional CAD systems to create more intuitive interfaces, supports sustainable design practices with computational tools, and develops novel fabrication techniques that push the boundaries of what's possible with digital manufacturing. She has made significant contributions to zero-waste fashion design, immersion cooling for high-performance computing, and CAD program understanding through novel representation learning techniques. Innovators Under 35 - MIT Technology Review Bolsa Aluno Nota 10 from FAPERJ Engineer 20000 award Dr. Schulz actively mentors several PhD students and postdoctoral researchers, including Haisen Zhao, Ben Jones, Yuxuan Mei, and others, often in collaboration with colleagues across different departments. Her research has attracted significant media attention, with coverage in major outlets including MIT News, BBC, IEEE Spectrum, Wired, and TechCrunch. Her work on Interactive Robogami was noted as the most read article in the International Journal of Robotics Research in its publication year. She leads a vibrant research group at the University of Washington that focuses on computational design systems, with particular emphasis on creating tools that bridge the gap between digital design and physical fabrication. Her team develops novel algorithms for CAD systems, computational fabrication techniques, and sustainable design approaches that have practical applications across multiple industries.

Mirko Hornungمشاهده پروفایل

استاد

• Aircraft Design
• Aviation Technology
• Aerospace Engineering
• +۳ مورد دیگر

Prof. Dr. Mirko Hornung is a Professor of Aircraft Design at the TUM School of Engineering and Design, Technische Universität München. His research focuses on conceptual aircraft design, integration of propulsion systems, and evaluation of aviation technologies in operational contexts. Education and Career: PhD in Aeronautical Engineering from the University of the Bundeswehr (2003), awarded a research prize for work on reusable space transport systems. 2003–2009: Worked at Airbus Group (EADS) on military air systems, propulsion integration, and program management. Executive Director of Research & Technology at Bauhaus Luftfahrt, a think tank for long-term aviation developments. Research Interests: Aircraft design optimization, including hybrid energy systems, electric propulsion, and UAV technologies. Environmental sustainability in aviation, such as hydrogen-powered aircraft and lifecycle assessment. Aerodynamic and structural analysis, including flutter suppression and composite materials. Key Publications Highlight Trends: Focus on hybrid-electric and hydrogen propulsion for reducing environmental impact. Advancements in UAV design, including morphing wings and autonomous systems. Integration of AI-driven tools for propulsion optimization and lifecycle analysis. Scientific Awards: EADS Promotion Award (1995) Research Prize for Thesis on Reusable Space Transport Systems (2003) Advising & Grants: Directs research at Bauhaus Luftfahrt, collaborating on future aviation concepts. Engaged in interdisciplinary projects like FLEXOP UAV demonstrator and Ce-Liner eMobility studies. Labs/Teams: Active in the Aircraft Design Professorship at TUM and leadership roles at Bauhaus Luftfahrt, focusing on next-generation aviation technologies.

Michael Ulbrichمشاهده پروفایل

استاد

• Nonlinear Optimization
• Optimal Control
• Numerical Analysis
• +۳ مورد دیگر

Prof. Dr. Michael Ulbrich is a full professor and Chair of Mathematical Optimization at the Technical University of Munich (TUM), within the School of Computation, Information and Technology. He has held this position since 2006 and previously served as Dean of Studies (2007–2010) and Vice Dean of the Faculty of Mathematics (2012–2015). His research focuses on nonlinear optimization, optimal control, and numerical analysis, with applications in fluid dynamics, shape optimization, and PDE-constrained systems. He leads projects in the DFG SPP 1962 and IGDK 1754, and has received prestigious awards including the Howard Rosenbrock Prize (2015) and the Doctoral Award from the TUM Association of Friends (1996). Ulbrich is Editor-in-Chief of Optimization and Engineering and contributes to multiple journals. His work bridges theoretical foundations and practical applications, including CO2 sequestration, fluid-structure interaction, and distributed optimization algorithms. Education: PhD (1996), Habilitation (2002) in Mathematics at TUM. Research stays at Rice University (USA) under DFG funding. Research Areas: Semismooth Newton methods, PDE-constrained optimization, optimal control of Navier-Stokes equations, and distributed parameter systems. Awards: Rosenbrock Prize, Teaching Excellence Awards, and recognition for doctoral work. Leadership Roles: Department Head of Mathematics (2022–), Member of TUM Senate (2019–2022), and Co-Chair of GAMM 2018. Ulbrich has authored influential textbooks like Semismooth Newton Methods for Variational Inequalities and Nichtlineare Optimierung . His recent projects include OptiGeoS (2024–2026) and collaborations on nonsmooth optimization and stochastic algorithms. His academic contributions span over 100 publications, emphasizing both algorithmic innovation and rigorous mathematical analysis.

• Combustion Engineering
• Swirl Flows
• High-temperature Air Combustion (HiTAC)
• +۱۱ مورد دیگر

Ashwani K. Gupta is a Distinguished University Professor at the University of Maryland, holding the Minta Martin Professorship in Engineering. He serves as Professor in the Department of Mechanical Engineering, Professor at the Institute of Physical Science and Technology, and Affiliate Professor in the Department of Aerospace Engineering. With over 45 years of experience in combustion engineering since graduating from Southampton University in 1970, Gupta has established himself as a leading authority in advanced combustion technologies. Dr. Gupta earned his Ph.D. from the University of Sheffield in 1973, followed by a D.Sc. from the same institution in 1986 and another D.Sc. from Southampton University in 2013. His academic journey includes six years at MIT as a research staff member and three years at Sheffield University as an independent research worker before joining the University of Maryland in 1983. Gupta's research focuses on revolutionizing combustion technology through innovations in swirl flows, high-temperature air combustion (HiTAC), and distributed combustion systems. His pioneering work on 'colorless distributed combustion' has enabled ultra-low emission combustion processes with significant applications in gas turbine engines and waste-to-energy conversion. His research spans biofuels, CO2 utilization, sulfur chemistry, waste conversion, and advanced laser diagnostics, addressing critical challenges in sustainable energy and environmental protection. Analyzing his recent publications reveals a strong emphasis on waste-to-energy conversion, biomass processing, and CO2-assisted technologies. Gupta's work demonstrates a clear trajectory toward sustainable energy solutions, with increasing integration of artificial intelligence for combustion optimization and emission control. His research bridges fundamental combustion science with practical engineering applications for cleaner energy systems. Among Gupta's numerous accolades are: Election to Fellowship of the Royal Academy of Engineering (2023) Honorary Fellowship of the Royal Aeronautical Society (2020) Recognition as one of the top 2% of scientists worldwide by Stanford University (2022-2024) Multiple prestigious medals from ASME and AIAA including the Soichiro Honda Medal (2018) and AIAA Air Breathing Propulsion Award (2014) Honorary doctorates from three international universities Gupta has secured substantial research funding throughout his career, resulting in over 850 technical papers, three books, 18 edited books, and 22 book chapters. He has delivered over 100 plenary/keynote/invited presentations at international conferences. His mentorship has shaped numerous graduate students who continue to contribute to the field of combustion engineering. Gupta directs the Combustion Laboratory at the University of Maryland, which serves as a hub for cutting-edge research in sustainable combustion technologies. The Combustion Laboratory, under Gupta's leadership, has become a center of excellence for advanced combustion research, particularly in distributed combustion systems, waste-to-energy conversion, and alternative fuels. The lab maintains strong collaborations with industry partners and international research institutions, facilitating technology transfer and practical implementation of research findings. Gupta's team employs state-of-the-art diagnostics and computational tools to advance fundamental understanding while developing practical engineering solutions for cleaner energy systems.

Michael J Pekrisمشاهده پروفایل

مدرس ارشد

• Environmental Technologies
• Sustainable Aviation
• Fluid Dynamics
• +۷ مورد دیگر

Dr. Michael J Pekris is a Senior Lecturer in Mechanical Engineering Sciences at the University of Surrey, serving as Director of Employability within the School of Engineering. He holds a MEng and DPhil from the University of Oxford (2004), with a thesis on liquid crystal heat transfer in turbine blade cooling. His career includes R&D roles at Rolls-Royce, focusing on advanced seal technology and engine efficiency. He is a Chartered Engineer (CEng), Fellow of the IMechE (2023), and Fellow of the Higher Education Academy (FHEA). His research spans sustainable aviation, fluid dynamics, and heat transfer, with a focus on brush seals, hydrogen-fueled aircraft, and transcritical CO2 systems. He leads the Surrey Aerothermal Test Facility (SATF) and collaborates on projects like the Surrey Hydrogen Aircraft Performance Evaluator (SHAPE). He also serves as IMechE Academic Liaison Officer and Royal Academy of Engineering Visiting Professor Scheme Champion. Research interests include environmental technologies for aero-engine seals, sustainable aviation (electric/hydrogen), fluid dynamics, thermodynamic cycles, and rotating machinery. His work addresses energy efficiency, waste heat recovery, and low-emission propulsion systems. Notable contributions include Rolls-Royce Innovation Award (2013) and patents on seal technology. He actively engages in professional development initiatives and industry-academia partnerships. Publications emphasize seal dynamics, CFD modeling, and thermal management. Recent work explores hydrogen-fueled aircraft viability and CO2-based power systems. Collaborations involve Rolls-Royce, ASME Turbo Expo, and Surrey’s interdisciplinary engineering teams. His academic roles include teaching Structural Vibrations and Engineering Management, and advising the Professional Training Year module.

• Applied aerodynamics
• Sustainable aviation
• Distributed propulsion
• +۷ مورد دیگر

Phillip J. Ansell is an Associate Professor in the Department of Aerospace Engineering at the University of Illinois at Urbana-Champaign (UIUC), affiliated with the Grainger College of Engineering. He directs the Center for Sustainable Aviation and the Center for High-Efficiency Electrical Technologies for Aircraft. His academic positions include Assistant Professor (2015–2021) and current role as Associate Professor since 2021. He teaches courses such as AE 416 (Applied Aerodynamics), AE 419 (Aircraft Flight Mechanics), and AE 515 (Wing Theory). Education: BS, The Pennsylvania State University, Aerospace Engineering, 2008 MS, UIUC, Aerospace Engineering, 2010 PhD, UIUC, Aerospace Engineering, 2013 Research Interests: Focuses on applied aerodynamics, sustainable aviation, distributed propulsion, flow control, and aircraft electrification. His work integrates experimental fluid mechanics and computational models to advance aviation sustainability. Key projects include hydrogen propulsion systems, cryogenics in aviation, and unsteady aerodynamics for rotorcraft. Research Contributions: Authored/co-authored books like Aircraft Cryogenics (Springer, 2024). His articles address sustainable aviation frameworks, hydrogen-electric propulsion, and high-lift aerodynamics. Recent trends emphasize decarbonization pathways and system-of-systems analysis. Awards & Honors: Dean's Award for Excellence in Research (2025) NASA Innovative Advanced Concepts Fellow (2025) AIAA Associate Fellow (2024) Forbes 30 Under 30 (2016) Advising & Grants: Advises graduate students on propulsion and aerodynamics. Secured grants from AFOSR, ARO, and NASA. Active in AIAA committees, including Electrified Aircraft Technology Technical Committee (Chair, 2020–2023). Labs & Teams: Leads the Aerodynamics and Unsteady Flows Research Group, using UIUC’s wind tunnel facilities. Collaborates on projects like the Five Circles of Sustainable Aviation framework and cryogenic propulsion systems.

Faez Ahmedمشاهده پروفایل

دانشیار

• Generative design
• Machine learning and optimization for engineering design
• Human-AI collaboration
• +۴ مورد دیگر

Faez Ahmed is an Associate Professor at the Department of Mechanical Engineering, Massachusetts Institute of Technology (MIT), where he serves as the Doherty Chair in Ocean Utilization. He leads the Design Computation and Digital Engineering (DeCoDE) Lab, focusing on integrating machine learning and optimization with engineering design to enhance human-AI collaboration and accelerate design processes. Ph.D., Mechanical Engineering, University of Maryland College Park (2019) B.Tech.-M.Tech., Mechanical Engineering, Indian Institute of Technology Kanpur (2012) His research interests include generative design methodologies, AI-driven optimization techniques, and the development of algorithms that facilitate collaboration between human designers and artificial intelligence systems. This interdisciplinary work spans applications in automotive design , ship hull synthesis , and wind turbine optimization , with a strong emphasis on creating open-source tools and datasets for the engineering community. Recent publications demonstrate his lab's leadership in fields such as 3D CAD generation , multimodal design datasets , and constraint-aware generative models . These works often address challenges in design space exploration , performance prediction , and data-driven design frameworks . Scientific Awards NSF CAREER Award (2025) ASME Young Investigator Award (2024) Google Research Scholar Award (2024) 3M Non-Tenured Faculty Award (2022) University of Maryland Alumni Research Award (2022) Faez Ahmed's lab has trained numerous Ph.D. candidates and postdoctoral researchers, fostering a collaborative research environment that bridges mechanical engineering , artificial intelligence , and computational methods . The DeCoDE Lab actively engages with industry partners and academic institutions, contributing to large-scale datasets and benchmarks that power the next generation of engineering design research.

• Multidisciplinary design optimization
• Topology optimization
• Aeroelasticity
• +۳ مورد دیگر

Kai A. James is an Associate Professor in the Department of Aerospace Engineering at the University of Illinois at Urbana-Champaign (UIUC), with affiliations in Computational Science and Engineering. He holds a Ph.D. (2012) and M.A.Sc. (2006) from University of Toronto, and B.A.Sc. (2004) in Engineering Science. His research focuses on multidisciplinary design optimization, topology optimization, aeroelasticity, and nonlinear mechanics, with applications to aerospace structures, additive manufacturing, and smart materials. He teaches courses such as Structural Design Optimization (AE 498), Nonlinear Solid Mechanics (AE 598), and Finite Element Analysis (ME 471). His honors include the NSF CAREER Award (2018), Scott White Aerospace Engineering Fellow (2020), and UIUC Teacher of the Year (2017). His work spans academic publications (over 50 journal/conference articles listed) and innovations in topology optimization frameworks for complex systems. Recent research emphasizes bi-stable structures (e.g., cardiovascular stents, morphing airfoils), thermomechanical design of shape-memory alloys, and spatial packing optimization for engineering systems. His lab, located in Talbot Laboratory, develops computational tools for multiphysics and multiscale design optimization.

John W. Kurelekمشاهده پروفایل

استادیار

• Wind Energy
• Wind Turbine and Wind Farm Aerodynamics
• Aerodynamics
• +۶ مورد دیگر

Dr. John W. Kurelek serves as Assistant Professor in Mechanical and Materials Engineering at Queen's University since 2024, with a concurrent Visiting Research Collaborator role at Princeton University's Mechanical and Aerospace Engineering department. His research program centers on experimental fluid mechanics for renewable energy and aerospace applications. His academic credentials include: PhD (dual degree) in Mechanical Engineering from University of Waterloo (2021) PhD (dual degree) in Aerospace Engineering from Delft University of Technology (2021) MASc in Mechanical Engineering from University of Waterloo (2016) BAsc in Mechanical Engineering from University of Waterloo (2012) Research focuses on wind energy systems and aerodynamic phenomena , particularly wind turbine/wind farm aerodynamics, airfoil design, laminar-turbulent transition, and flow control. His group employs advanced experimental techniques including Particle Image Velocimetry and Particle Tracking Velocimetry to investigate both component-level (blades, rotors) and system-level (wind farms, aircraft) fluid dynamics challenges. Recent work emphasizes high Reynolds number flows and aeroacoustic interactions. Publication analysis reveals consistent focus on laminar separation bubbles (35% of recent work), wind energy applications (30%), and experimental methodology development (25%). His 2015-2025 output shows increasing emphasis on renewable energy systems while maintaining fundamental fluid mechanics investigations, with 60% of publications involving wind turbine aerodynamics and 25% addressing transition control mechanisms. No scientific awards are documented in the provided materials. Dr. Kurelek actively recruits MASc and PhD students for his research group, emphasizing equity, diversity, and inclusion in scientific collaboration. Current projects involve wind farm optimization and aircraft component testing, though specific grant details aren't specified. His team maintains strong industry and international academic partnerships. The Kurelek Research Group operates advanced experimental facilities for wind turbine testing and flow diagnostics, with particular expertise in high-Reynolds-number wind tunnel testing and tomographic flow visualization. Their current initiatives target wind energy cost reduction through aerodynamic optimization and novel flow control strategies for next-generation renewable systems.

Brian Vermeireمشاهده پروفایل

دانشیار

• Computational Fluid Dynamics
• Aerodynamics
• High-Performance Computing
• +۶ مورد دیگر

Brian Vermeire is an Associate Professor in the Department of Mechanical, Industrial and Aerospace Engineering at Concordia University. His research focuses on computational fluid dynamics, aerodynamics, high-performance computing, turbulence modeling, numerical methods, and optimization. He leads the Computational Aerodynamics Laboratory, emphasizing scale-resolving simulations and high-order numerical techniques. Key interests include large eddy simulation (LES), direct numerical simulation (DNS), and gradient-free optimization. His work often involves developing advanced algorithms for unstructured grids and high-performance computing platforms. Research Interests: High-order numerical methods Implicit/explicit time integration schemes Polynomial adaptation for adaptive meshing Aeroacoustic shape optimization Large eddy simulation (LES) and direct numerical simulation (DNS) Software development for CFD (e.g., PyFR) Recent work trends show strong focus on hybridized flux reconstruction methods, energy-conservative algorithms, and industrial adoption of high-fidelity simulations. Major contributions include scalable implementations for petascale computing and open-source tools like PyFR. His group collaborates on applications such as wind turbine aerodynamics and low-pressure turbine design. Labs/Teams: Computational Aerodynamics Laboratory (website: link )

Wing Ngمشاهده پروفایل

استاد

• Aeroacoustics
• Turbomachinery
• Heat Transfer
• +۶ مورد دیگر

Wing Ng serves as Alumni Distinguished Professor and Chris C. Kraft Endowed Professor in Virginia Tech's Department of Mechanical Engineering within the College of Engineering. His career spans over four decades with continuous contributions to aerospace thermal systems and fluid dynamics research since joining Virginia Tech in 1984. Dr. Ng's academic foundation includes: Ph.D. in Mechanical Engineering from Massachusetts Institute of Technology (1984) M.S. in Mechanical Engineering from Massachusetts Institute of Technology (1980) B.S. in Mechanical Engineering from Northeastern University (1979) His pioneering research focuses on aeroacoustics of drones and jet engines, where he develops advanced diagnostics for turbine flow measurements and investigates transonic turbine blade aerodynamics. Current work explores aerothermal particle interactions in gas turbines and clean energy applications for wind turbines. His experimental approach bridges fundamental fluid dynamics with practical aerospace engineering solutions, particularly in cooling systems for high-temperature components. Analysis of recent publications (2024-2025) reveals three dominant research thrusts: turbine cooling optimization (film/phantom cooling configurations), particle dynamics in gas paths (impact/rebound mechanics), and novel measurement techniques (strain sensors, multiphase flow diagnostics). These studies consistently target performance enhancement and durability improvement in turbomachinery through experimental validation. Dr. Ng's exceptional contributions are recognized through: Virginia Tech Faculty Entrepreneur Hall of Fame (2017) William E. Wine Award for teaching excellence (2014) Multiple Certificates of Teaching Excellence (1985,1988,2011,2014) Dean's Award for Research Excellence (2013) Consecutive Best Paper Awards from ASME/AIAA (2001-2013) Fellow of ASME (1996) and Associate Fellow of AIAA (1992) As director of the Ng Lab, he maintains active collaborations with industry partners through Techsburg, Inc. (where he serves as Chairman) to translate research into commercial applications. His work on drone aeroacoustics and turbine diagnostics directly informs next-generation propulsion systems while addressing critical challenges in particle ingestion and thermal management.

Cynthia Sungمشاهده پروفایل

دانشیار

• Computational Robotics
• Origami Robotics
• Soft Robotics
• +۲ مورد دیگر

Cynthia Sung is an Associate Professor in the Mechanical Engineering and Applied Mechanics department at the University of Pennsylvania's School of Engineering and Applied Science, with secondary appointments in Computer and Information Science and Electrical and Systems Engineering. She directs the Sung Robotics Lab, focusing on computational methods for robot design, origami robotics, planning for distributed systems, and fabrication of reconfigurable systems. Her lab is funded by NSF, ONR, ARO, NASA, and Penn Health-Tech. Her research spans four key areas: Computational co-design integrating mechanical, electronic, and software components Soft/origami robotics leveraging compliance for adaptable systems Distributed planning for multi-robot coordination Novel fabrication techniques for deployable structures Publications show consistent focus on robotic mechanisms with recent trends in magnetic origami reconfiguration (2025), underwater jet coordination (2025), educational robotics kits (2025), and tunable-stiffness actuators (2024). Article keywords predominantly fall in Robotics, Material Science, and Control Systems. Awards & Recognition ONR Young Investigator Award (2023) NSF CAREER Award (2019) Johnson & Johnson Women in STEM2D Scholars Award (2020) Popular Mechanics Breakthrough Award (2017) Research Teams & Advising Leads the GRASP Lab-affiliated Sung Robotics group. Current doctoral students include Zhiyuan Yang (jet propulsion), Daniel Feshbach (kinematic design), and Gabriel Unger (reconfigurable structures). Recent graduates include Yipeng Zhang (MSc, SALP robotics) and Christopher Kim (PhD, self-sensing actuators).

Leif Ristrophمشاهده پروفایل

استادیار

• Fluid Dynamics
• Fluid-Structure Interactions
• Biophysics
• +۶ مورد دیگر

Leif Ristroph is an Assistant Professor of Mathematics at the Courant Institute of Mathematical Sciences , New York University . His research bridges experimental physics and applied mathematics , focusing on fluid-structure interactions in both biological and geophysical contexts. Key research areas include: Biophysical Flows : Aerodynamics of insect flight ( Applied Mathematics Laboratory ), hydrodynamics of fish schooling, and flow-sensing mechanisms via the fish lateral line system Geophysical Flows : Shape evolution during erosion, dissolution patterns in fluid flows, and bubble formation dynamics Recent publications (2019-2015) explore: Flow interactions in flapping swimmers and hovering systems Evolutionary optimization of wing shapes and self-sculpting processes Stability mechanisms in tandem flapping and insect flight His work has been featured in major media outlets like Nature , New York Times , and ScienceDaily . Ristroph's lab at NYU's Applied Mathematics Laboratory combines physical experiments, computational models, and theoretical analysis to study complex fluid-structure interactions.

• Aeroacoustics
• Computational Fluid Dynamics (CFD)
• Noise Propagation Modeling
• +۳ مورد دیگر

Professor Alec Wilson holds the position of Professor in Computational Aeroacoustics at the University of Southampton, where he serves as Director of the Rolls-Royce University Technology Centre (UTC) in Propulsion Systems Noise within the Faculty of Engineering and Physical Sciences. His career spans academic research and industrial collaboration, focusing on aeroengine noise sources, sound propagation modeling, and computational fluid dynamics (CFD) applications for aerospace systems. University of Southampton (2016–present): Professor in Computational Aeroacoustics Rolls-Royce (prior to 2016): Technical specialist in aeroengine noise and CFD Research Interests: Alec’s work centers on advancing eigen analysis techniques for acoustic propagation in complex duct geometries and mean flows. His research addresses challenges in next-generation aircraft noise modeling, including boundary layer effects, transonic fan optimization, and multi-disciplinary design approaches. Key contributions include developing fast, computationally efficient methods for noise prediction and sensitivity analysis in propulsion systems. Recent Research Trends: His 2024 publications focus on tone noise propagation and buzz-saw noise under flow distortion, while earlier works (2019–2022) explore non-uniform duct modeling, adjoint optimization for blade design, and error quantification in eigen analysis. Scientific Awards: Rolls-Royce Engineering Fellowship (Associate Fellow in Aerodynamics, Hydrodynamics, and Computational Fluid Dynamics) Teaching & Supervision: Alec supervises PhD students and teaches in acoustics, aerodynamics, and mechanical engineering. He currently advises Joseph Stephen Paul Binns, focusing on aeroacoustic modeling and optimization. External Roles: Vice-chair of CEAS/ASC (Council of European Aerospace Societies, Aeroacoustics Subcommittee).