جست‌وجوی استاد و پژوهشگر

• Unmanned Air Vehicles
• Flow Control
• Experimental Aerodynamics
• +۳ مورد دیگر

William Crowther is a Professor in Mechanical and Aerospace Engineering at The University of Manchester. He holds a PhD in Experimental Aerodynamics from the University of Bath and has been at Manchester since 1997, progressing from Lecturer to Senior Lecturer (2006), Reader (2011), and full Professor. As Director of the Aerospace Engineering Undergraduate Programme since 2011, he specializes in Unmanned Air Vehicles (UAVs), flow control, and experimental aerodynamics. His notable projects include the FLAVIIR flapless aircraft (2009), the Tumbleweed unmanned helicopter, and biodiversity surveys in the Amazon using UAVs (2012-2013). He leads major grants like HOMEOffshore (offshore wind farm inspection) and CASCADE (accelerating UAV adoption). He has supervised 25 PhD students and managed £5M in research funding. Professional Memberships: Chartered Engineer (CEng), Fellow of the Royal Aeronautical Society, Fellow of the Institute of Learning and Teaching in Higher Education External Roles: External Examiner at University of Limerick (2015–2018) Research focuses on UAV design, flow control systems, and aerodynamic innovation. His MAGMA gas turbine UAV prototype gained international recognition. Current work includes autonomous systems for scientific and commercial applications.

Shan Zhongمشاهده پروفایل

استاد

• Flow Control
• Aerodynamics
• Fluid Mechanics
• +۴ مورد دیگر

Shan Zhong is a Professor in the School of Mechanical, Aerospace and Civil Engineering at The University of Manchester. She holds a BEng and MEng from Tsinghua University and a PhD from the University of Cambridge. As the Head of the Aerodynamics Research Group, her work focuses on experimental fluid mechanics, flow control, and biofluid dynamics. Her research spans aerodynamics, turbulence, and low-Reynolds-number propulsion, aiming to enhance aerodynamic efficiency in turbomachinery and transportation systems. Supported by grants from EPSRC, Royal Society, and industry partners like Airbus and BAE Systems, her contributions include over 140 publications and the supervision of 23 PhD students. Research interests include boundary layer transition, flow separation control, fluid mixing enhancement, and bio-inspired surface patterns. Prof. Zhong is a Fellow of the Royal Aeronautical Society and leads the Laser Processing Research Centre. Her work aligns with UN Sustainable Development Goals related to clean energy and industrial innovation. Education: BEng/MEng (Tsinghua University), PhD (University of Cambridge) Affiliations: Aerodynamics Research Group, Laser Processing Research Centre Grants: EPSRC, Royal Society, Leverhulme Trust, Airbus, BAE Systems Her research employs advanced techniques like PIV and synthetic jet actuators to study complex fluid phenomena. Current projects explore flow control strategies for reducing drag and improving propulsion efficiency in aerospace and land-based systems.

Skylar Tibbitsمشاهده پروفایل

دانشیار

• Self-Assembly Technologies
• Programmable Materials
• 4D Printing
• +۴ مورد دیگر

Skylar Tibbits is an Associate Professor of Design Research at MIT's Department of Architecture, where he leads undergraduate programs and co-directs the Self-Assembly Lab. His roles include teaching design studios and coordinating MIT's undergraduate Design programs. He is also an Assistant Director for Education at the Morningside Academy for Design. His work focuses on programmable materials and self-assembly technologies for manufacturing, construction, and product innovation. Education: Bachelor of Architecture (Professional Degree) from Philadelphia University with a minor in experimental computation Master of Science in Design Computation from MIT Master of Science in Computer Science from MIT, advised by Patrick Winston, Terry Knight, Erik Demaine, and Neil Gershenfeld Research Interests: Self-assembly systems and programmable material technologies 4D printing and shape-changing materials Robotics, smart manufacturing, and architectural applications Material agency and adaptive systems His lab explores innovations like reversible textile transformation, active haptic knits, and gel-supported 3D printing. Key Awards: R&D Magazine's 2015 Innovator of the Year National Geographic Emerging Explorer (2015) WIRED Fellow (2014) Fast Company Innovation by Design Award (2013) Advising & Labs: Director of MIT's undergraduate Design programs Founder and co-director of the Self-Assembly Lab Collaborates with industry leaders in architecture, robotics, and materials science Future Work: Expanding applications of programmable matter in construction, healthcare, and wearable technologies.

• Engineering Education
• Mechanical Design
• Safety Systems & Risk Analysis
• +۳ مورد دیگر

Rod Fiford is a Lecturer in the School of Aerospace, Mechanical and Mechatronic Engineering at The University of Sydney. He holds a PhD, BE(Hons), and a Grad Cert in Higher Education (with merit). His research focuses on engineering education, particularly in design pedagogy, safety systems, creativity in mechanical design, and humanitarian engineering. He has also contributed to biomechanical studies on spinal cord injury mechanisms in animal models. Education: PhD in Engineering BE(Hons) in Mechanical Engineering Graduate Certificate in Higher Education (with merit) Research Interests: Fiford’s work emphasizes innovative teaching methods, including studio-based learning, human-centered design, and the integration of technology (e.g., VR/AR) in engineering education. He explores student engagement, diversity, and creativity in mechanical design, alongside historical and philosophical dimensions of engineering. His earlier biomedical research addressed spinal cord injury mechanics. Article Trends: Recent publications highlight trends in engineering education, such as remote learning strategies, peer assessment in design, and frameworks for humanitarian engineering competencies. Earlier work focused on biomechanical studies of spinal cord injury using animal models. Teaching & Advising: He teaches units like ENGG1000 (History & Philosophy of Engineering), AMME2450 (Design & Production), and ENGG5103 (Safety Systems & Risk Analysis). No formal advisees are listed. Labs/Teams: No specific laboratory or team affiliations are mentioned in the provided texts.

• Multiphase Flows
• Aerosol Dynamics
• Turbulence
• +۵ مورد دیگر

Associate Professor Agisilaos Kourmatzis is affiliated with the School of Aerospace, Mechanical and Mechatronic Engineering at the University of Sydney. He holds an Associate Head of School (Research) role and has a multidisciplinary background spanning mechanical engineering, fluid dynamics, and biomedical applications. His academic journey includes a PhD from the University of Southampton, postdoctoral work at the University of Sydney, and academic positions at Macquarie University and the University of Sydney. He is a Chartered Engineer and member of professional organizations like the Combustion Institute. His research focuses on multiphase flows, aerosol dynamics, and laser diagnostics, with applications in drug delivery systems, clean energy, and environmental engineering. Notable projects include collaborations with the US FDA, Mitsubishi Heavy Industries, and the Great Barrier Reef Foundation. He has pioneered technologies commercialized through ASK Scientia Pty Ltd, a university spin-off. Teaching responsibilities include courses like AMME2261 Fluid Mechanics and AMME5292 Applied Fluid Dynamics. He has supervised over 10 PhD/MPhil students and postdoctoral researchers, many of whom now hold academic or industry roles globally. Awards include the 2024 Sydney Knowledge Hub PERIscope Award and multiple teaching commendations. His work bridges fundamental fluid mechanics with practical industrial and biomedical challenges, emphasizing sustainability and efficiency.

Peter Pinskyمشاهده پروفایل

استاد

• Computational Mechanics
• Biomechanics
• Ocular Mechanics
• +۲ مورد دیگر

Peter Pinsky is Professor Emeritus of Mechanical Engineering at Stanford University, where he chairs the Mechanics and Computation Group. His research integrates computational mechanics with biomechanics, focusing on multiphysics problems in human vision and hearing. Key areas include corneal transparency mechanisms, metabolic processes in ocular tissue, and hair-cell mechanics in the inner ear. His work employs molecular, statistical, and continuum mechanics approaches coupled with biology and clinical science. Research spans multiscale modeling, from molecular collagen-proteoglycan interactions explaining corneal resilience to macroscopic 3-D collagen organization predicting clinical outcomes. Current investigations include metabolic transport in corneal tissue, lipid bilayer mechanics, and transdermal drug delivery frameworks. His publications demonstrate consistent focus on biomechanical systems, with recent work emphasizing ocular/cerebral fluid dynamics, corneal metabolism under medical devices, and microgravity effects on physiological systems.

• Computer Vision
• 3D Reconstruction
• Neural Rendering
• +۵ مورد دیگر

Dr. Miaomiao Liu is a Research Fellow at the School of Computing, The Australian National University. Her research focuses on computer vision, 3D reconstruction, and neural rendering, with applications in robotics, autonomous systems, and renewable energy forecasting. She leads multiple projects including Next-Generation Aviation Safety Net Air Traffic Management, Machine Vision Techniques for Solar Power Forecasting, and 3D Vision Geometric Optimization in Deep Learning. Her work integrates cutting-edge techniques such as neural radiance fields, depth estimation, and self-supervised learning to address challenges in dynamic scene reconstruction, motion forecasting, and image deblurring. She has pioneered methods for mining supervision signals in dynamic regions and developing language-driven deblurring networks. Key Projects: Aviation safety systems, solar irradiance prediction, and geometric optimization in deep learning Research Themes: 3D scene understanding, human motion prediction, and neural rendering Technical Expertise: Neural networks, multi-view stereo, and physics-based modeling Dr. Liu's research has been published in top-tier venues like CVPR and IEEE conferences, with over 2,450 citations. While not explicitly listed as part of a lab, her work demonstrates strong collaboration with industry partners such as CSIRO and aerospace stakeholders. She actively supervises research students in areas like 3D vision and energy systems.

Avneet Hiraمشاهده پروفایل

استادیار

• Engineering Education
• Educational Technologies
• Engineering Epistemology
• +۳ مورد دیگر

Avneet Hira is an Assistant Professor and Sabet Family Dean’s Faculty Fellow at Boston College’s Department of Engineering Education. Her research focuses on engineering epistemology, educational technologies, and humanistic design, particularly through Making and tinkering practices. She holds a Ph.D. in Engineering Education and MS in Aerospace Engineering from Purdue University, and a B.E. in Aeronautical Engineering from Punjab Engineering College. Her work emphasizes inclusive technology-rich spaces, partnering with youth, educators, and communities to foster purpose-driven engineering education. Recent projects include NSF-funded initiatives on youth-led engineering in climate resilience and sustainable urban gardens. She leads the Educational Makerspaces Lab and has co-authored over 30 peer-reviewed publications. Funded Projects: NSF CAREER Grant ($594k) for youth-centered engineering spaces (2023) NSF ITEST Grant ($1.3M) for community sustainable urban gardens (2023) Schiller Institute Grant for climate resilience in Kenya (2023) Boston College Grant on purpose-driven engineering (2022) Her research bridges engineering with social-emotional learning, intergenerational collaboration, and culturally relevant pedagogy. Current work explores design-driven engineering programs and assistive technology partnerships with special needs schools.

Sara Moghtadernejadمشاهده پروفایل

دانشیار

• Multiphase Flow
• Powder Technology
• Additive Manufacturing
• +۷ مورد دیگر

Dr. Sara Moghtadernejad is an Associate Professor and Undergraduate Advisor in the Department of Chemical Engineering at California State University Long Beach (CSULB), where she has held the position since Fall 2018. In Fall 2023, she was granted early tenure and promoted. She holds a PhD in Mechanical Engineering from Concordia University (Canada), an MS from the University of Queensland (Australia), and a BS in Chemical Engineering from Sharif University of Technology (Iran). Prior to CSULB, she held postdoctoral roles at McGill University’s Biomimetic Surface Engineering Lab and Rutgers University’s NSF Engineering Research Center on Structured Organic Particulate Systems (CSOPS). Her research focuses on multiphase flow, powder technology, additive manufacturing, and pharmaceutical manufacturing, addressing industrial challenges through interdisciplinary approaches. The Multiphase Flow Lab (MFL) she directs emphasizes practical applications, employing advanced experimental setups and numerical/statistical analyses. Key collaborators include the FDA, AFRL, and companies like Johnson & Johnson and 3M. Her work spans pharmaceutical process optimization, metal powder characterization for automotive/aerospace 3D printing, aerospace icing prevention, and oil/gas industry corrosion mitigation. Moghtadernejad’s expertise extends to regulatory affairs and HSE (Health, Safety, Environment), with contributions to risk management frameworks and compliance documentation. She has been recognized as a Beach Mentor (2021) and holds certifications in advanced simulation tools and professional engineering. Her lab collaborates with industries across aerospace, pharmaceuticals, and energy sectors, emphasizing sustainable solutions and technological innovation. Her educational background includes training in HAZOP studies, process simulation (HYSYS), and multiphysics modeling. She has supervised industry partnerships and training programs for FDA and pharmaceutical companies, emphasizing continuous manufacturing and process development. The MFL’s research outputs aim to enhance material performance, operational efficiency, and safety standards across multiple industries.

• Astrodynamics
• Cislunar Surveillance
• Orbit Determination
• +۷ مورد دیگر

David Canales Garcia is an Assistant Professor in the Department of Aerospace Engineering at Embry-Riddle Aeronautical University (ERAU), located in Daytona Beach, Florida. He serves as ERAU's representative to the Universities Space Research Association (USRA) and is actively involved in the AIAA Astrodynamics and Space Systems Technical Committees. His academic journey includes B.Sc. and M.Sc. degrees in Aerospace Engineering from the Polytechnic University of Catalonia (Spain), a second M.Sc. in Astrophysics, Particle Physics, and Cosmology from the University of Barcelona, and a Ph.D. in Astrodynamics and Space Applications from Purdue University under Dr. Kathleen C. Howell. Dr. Canales' research expertise spans astrodynamics in multi-body systems, Cislunar surveillance, orbit determination, and space applications such as telecommunications and mission planning. His work integrates advanced mathematical methods with practical challenges in space exploration, including trajectory optimization, lunar surface utilization, and space debris modeling. He teaches courses on spacecraft attitude dynamics, orbital mechanics, and computational astrodynamics. Recent research outputs highlight innovations in low-energy trajectory design for Near-Earth Objects, LiDAR-based precision landing systems, and open-source tools for Cislunar debris propagation. His interdisciplinary approach bridges astrodynamics with emerging technologies like neural networks and augmented reality for trajectory visualization. Education: Ph.D., Aeronautics and Astronautics, Purdue University (USA) M.Sc., Aeronautical Engineering, Universitat Politècnica de Catalunya (Spain) M.Sc., Astrophysics, Particle Physics and Cosmology, Universitat de Barcelona (Spain) B.Sc., Aeronautical Engineering, Universitat Politècnica de Catalunya (Spain) Professional Affiliations: Member, AIAA Astrodynamics Technical Committee Member, AIAA Space Systems Technical Committee His courses emphasize cutting-edge topics such as computational astrodynamics and orbital mechanics, reflecting his commitment to advancing space engineering education and research.

Marc Compereمشاهده پروفایل

دانشیار

• Nonlinear Dynamic Systems
• Controls
• Hardware-in-the-Loop Control
• +۸ مورد دیگر

Dr. Marc Compere is an Associate Professor of Mechanical Engineering at Embry-Riddle Aeronautical University’s College of Engineering in Daytona Beach, Florida. His research focuses on nonlinear dynamic systems and controls, hybrid-electric power systems, and solar-powered water purification. He also explores self-driving vehicles, Advanced Driver Assistance Systems (ADAS), and diesel emissions controls. Dr. Compere teaches courses such as Dynamics, Vehicle Dynamics, and Instrumentation and Data Acquisition. He co-founded a small business to transition laboratory technology to market and advocates for sustainable micro-business creation in developing countries, particularly through projects in Haiti’s Artibonite Valley. His research interests span energy systems, electro-mechanical systems, and acoustics, with a strong emphasis on applying technological solutions to real-world challenges. He has developed the Mobility Virtual Environment (MoVE), an open-source framework for coordinating multi-vehicle systems to collect and visualize atmospheric data. His work also includes environmental monitoring using low-cost sensors on unmanned aerial vehicles and hyper-local weather prediction tools. Dr. Compere’s contributions to education include pioneering hands-on learning modules, such as desktop Rankine cycle systems and bio-diesel plug-in hybrid electric vehicles. He has led projects like Project Haiti, integrating technical solutions with community development to address water scarcity and promote sustainability. His research and teaching reflect a commitment to bridging academic innovation with practical, socially impactful applications.

• Computational Fluid Dynamics
• Turbulence Modeling
• Biomedical Engineering
• +۴ مورد دیگر

Ayodeji Demuren is a Professor of Mechanical Engineering at Old Dominion University (ODU), Norfolk, Virginia. His research focuses on computational fluid dynamics (CFD), turbulence modeling, biomedical engineering applications, and energy systems. Demuren holds a Ph.D. and B.S. in Mechanical Engineering from Imperial College London (1979 and 1975, respectively). His academic career includes awards such as the Lewis F. Moody Award and visiting professorships at the University of Tokyo and St. Francis Xavier University. Demuren’s work spans interdisciplinary areas: from aerodynamics and heat transfer to medical device design (e.g., insulin pump flow dynamics) and fuel cell technologies. He has led numerous grants, including studies on insulin delivery systems, CFD analysis of CAT machines, and high-performance hull design. Key research interests include turbulent jet behavior, numerical simulations of incompressible flows, and second-moment closure models. His publications span journals like Experiments in Fluids , Numerical Heat Transfer , and conference proceedings in aerospace and biomedical engineering. Ongoing projects involve PEM fuel cells, UAV power systems, and fluid dynamics in meandering channels. Demuren collaborates with institutions like NASA and SAE, and his work bridges academic research with industrial applications, such as friction stir welding and automotive aerodynamics.

• Spatial vision
• Contrast gain control
• Binocular vision
• +۵ مورد دیگر

Tim S. Meese is a Professor of Vision Science at Aston University , affiliated with the Optometry & Vision Science Research Group within the College of Health and Life Sciences . He is also director of the Centre for Vision and Hearing Research and the Aston Laboratory for Immersive Virtual Environments (ALIVE) . Education: PhD in Pattern Vision (University of Bristol, 1993) BSc in Computer Science & Psychology (Newcastle University, 1989) HNC in Electronics Engineering (Nottingham Trent University, 1986) Research interests include spatial vision, contrast gain control, binocular vision, depth perception, psychophysical methods, complex motion and optic flow, virtual reality, and computational modeling. His work explores how humans process visual information, with applications in virtual environments and military camouflage. Article trends focus on visual perception anomalies, computational modeling of vision systems, and practical applications in aerospace and military contexts. His recent publications examine aerial image classification, dazzle camouflage effectiveness, and binocular disparity mechanisms. Grants & Funding include support from The Wellcome Trust, The Leverhulme Trust, BBSRC, EPSRC, HEFCE, The Wolfson Trust, The Eranda Foundation, The Cadbury Trust, and the Eveson Trust. Laboratory : As director of ALIVE , he leads immersive virtual environment research funded by multiple trusts and organizations.

Ludger Overmeyerمشاهده پروفایل

استاد

• Automation Technology
• Optical Production Technologies
• Laser Material Processing
• +۴ مورد دیگر

Prof. Dr.-Ing. Ludger Overmeyer is a Professor and Executive Director of the Institute of Transport and Automation Technology at Leibniz University Hannover. He also serves as Deputy Chairperson of the Leibniz School of Optics and Photonics and holds leadership roles in multiple research initiatives including the Hannover Centre for Optical Technologies (HOT) and the PhoenixD cluster. His work spans automation technology, optical production systems, laser material processing, and space manufacturing. Overmeyer has led over 30 research projects funded by agencies like BMBF and DFG, focusing on additive manufacturing, microgravity experiments, and industrial logistics. He has pioneered innovations in conveyor systems, autonomous vehicles, and optoelectronic integration. His lab, the Einstein-Elevator, enables microgravity research for advanced manufacturing and materials science. Overmeyer has extensive industry collaboration with companies like Mühlbauer AG and LPKF, bridging academic research with industrial applications. Education highlights include a doctorate in Mechanical Engineering from Leibniz University (1996) and over 20 years of industrial R&D experience before academia. His teaching covers transport technology, laser processing, and optoelectronic systems. Current research emphasizes space manufacturing, AI-driven production, and sustainable logistics solutions. His team develops cutting-edge technologies like optical networks via flexographic printing and cold plasma experiments under microgravity conditions.

Rasoul Sadeghianمشاهده پروفایل

پژوهشگر

• Soft Robotics
• Deep Learning
• Control Systems
• +۳ مورد دیگر

Rasoul Sadeghian is a Researcher at the Royal College of Art (RCA), specializing in robotics and autonomous systems since 2019. He holds an MSc in Mechatronics Engineering (Islamic Azad University, 2015) and a BSc in Applied Mathematics (Vali E Asr University, 2012). Prior to RCA, he served as a Research Fellow/Instructor at Tehran University's TaarLab (2013–2018) and Senior Researcher at INGV Co., Italy (2018–2019). His research focuses on Soft Robotics, Deep Learning, and Control Systems , with an emphasis on autonomous systems for extreme environments. He leads the MIMRee project , developing robotic solutions for offshore wind turbine inspection and repair. His work integrates vision-based control, adaptive gripping, and decision-making algorithms for robotics. Rasoul has published extensively on topics including robotic anchoring systems, telerobotics, and AI-driven medical imaging. His expertise spans robotics hardware design, simulation (ROS/Gazebo), and machine learning applications in automation. Current affiliations include the RCA Robotics Laboratory and contributions to the Multi-Platform Inspection Maintenance & Repair In Extreme Environment (MIMRee) initiative. His research bridges theory and practice, addressing challenges in robotics for renewable energy and industrial maintenance.