جست‌وجوی استاد و پژوهشگر

• Satellite positioning
• Inertial navigation
• Integrated navigation systems
• +۹ مورد دیگر

Jan Skaloud serves as an Adjunct Professor at École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the School of Architecture, Civil and Environmental Engineering (ENAC). He holds positions across multiple departments including SSIE (Institute of Earth Surface Dynamics), EDCE (Doctoral Program in Environmental Sciences and Engineering), and leads the Earth Sensing and Observation (ESO) Lab. His office is located at GC C2 397 in the EPFL campus in Lausanne, Switzerland. Dr. Skaloud's research expertise spans satellite positioning, inertial and integrated navigation systems, sensor orientation and calibration, attitude determination, mobile mapping, airborne laser scanning, and Kalman filtering techniques. His work bridges theoretical development with practical applications in UAV navigation, photogrammetry, and remote sensing. He teaches across three EPFL sections and two faculties, demonstrating his interdisciplinary approach to education. His publication record shows consistent contributions to the field, with recent work (2023-2025) focusing on vehicle dynamic model-based navigation for various UAV platforms, including delta-wing and fixed-wing drones. His research demonstrates a clear trajectory toward increasingly sophisticated navigation systems that integrate aerodynamic modeling with traditional sensor fusion approaches. This trend reflects the growing importance of model-based navigation in achieving higher precision and autonomy in UAV operations. 2021: Samuel Gamble Award for career contribution in photogrammetry & sensing (ISPRS) 2020: U.V. Helava Award for best paper in ISPRS Journal (2016-2019) 2017: Best Demo Award at IEEE International Workshop on Metrology & Aerospace 2014: Hansa Luftbild Award for best paper in PFG journal 2012: Karl Kraus Medal for best textbook in Photogrammetry 2009: GNSS Leader to Watch Innovation Award (GPS World) Dr. Skaloud has supervised numerous PhD students whose work focuses on advanced navigation systems, sensor calibration, and UAV applications. His research has received funding for projects involving direct georeferencing, mobile mapping systems, and UAV-based search and rescue operations. The ESO lab he directs serves as a hub for cutting-edge research in Earth observation technologies. The Earth Sensing and Observation Lab under Dr. Skaloud's direction brings together researchers working on navigation systems, sensor integration, and data processing techniques for geospatial applications. The lab maintains strong connections with industry partners and international research organizations, facilitating technology transfer and collaborative research projects.

Graeme J. Kennedyمشاهده پروفایل

دانشیار

• Numerical Optimization
• Structural Design
• Multidisciplinary Design Optimization
• +۶ مورد دیگر

Graeme J. Kennedy is an associate professor in the Daniel Guggenheim School of Aerospace Engineering at the Georgia Institute of Technology where he leads the Simulation-based Multidisciplinary Design Optimization (SMDO) research group. His research focuses on developing numerical optimization techniques for structural and multidisciplinary design problems, particularly for fixed-wing aircraft analysis and design. Dr. Kennedy received his PhD from the University of Toronto Institute for Aerospace Studies (UTIAS) in 2012, followed by a postdoctoral research fellowship at the University of Michigan in the Department of Aerospace Engineering. His research spans several critical areas in aerospace design optimization: Development of advanced numerical optimization techniques for structural design Large-scale topology optimization for aerospace structures Aeroelastic and aerothermoelastic optimization of flexible aircraft Optimization of composite structures with manufacturing constraints Electric motor optimization for electric vertical take-off and landing (eVTOL) vehicles He has developed multiple open-source research codes including TACS (parallel finite-element solver), ParOpt (optimization toolkit), TMR (mesh generation tool), and FUNtoFEM (aeroelastic coupling framework). Dr. Kennedy is particularly interested in designing structures that manage heat from battery packs in air taxis while achieving optimal aeroelastic performance. His publications reveal a strong focus on computational methods for solving large-scale optimization problems in aerospace design. The research shows progressive development from fundamental optimization algorithms toward increasingly complex multidisciplinary applications, with particular emphasis on making high-fidelity simulation-based optimization practical for industrial design cycles through high-performance computing approaches. Dr. Kennedy actively mentors numerous graduate students, including six current PhD candidates and multiple former PhD and MS students who have completed their degrees under his supervision. His research group maintains strong connections with industry through various grants supporting the development of computational tools for aerospace design. The SMDO group also engages in educational outreach through 'Optimization through Intuition,' providing accessible learning modules about optimization concepts for middle and high school students, demonstrating Dr. Kennedy's commitment to broadening participation in engineering education.

• Autonomous Systems
• V2X Communication
• Cooperative Perception
• +۳ مورد دیگر

Dr. Mao Shan is a Senior Research Fellow at the Australian Centre for Robotics, part of The University of Sydney. He holds a PhD from The University of Sydney (2014) and has held research positions at Nanyang Technological University (2016-2017) and the Australian Centre for Robotics (2014-2016). His research focuses on autonomous systems, V2X communication, cooperative perception, and sensor fusion. Current students include Yaoqi HUANG, Henry LYU, Zhenxing MING, Nguyen TRAN, Tzu-yun TSENG, and Yupeng WANG. His work spans robotics, intelligent transportation systems, and control systems. Recent publications emphasize 3D object detection, cooperative perception frameworks, and autonomous navigation. He has contributed to the development of the University of Sydney Campus Dataset for robust autonomy testing and led cooperative perception projects funded by iMOVE CRC (2018). His research bridges theoretical advancements with practical applications in autonomous vehicles and multi-robot systems. Labs and affiliations include the Australian Centre for Robotics and the Intelligent Transport Systems Group. His interdisciplinary approach integrates probabilistic modeling, sensor fusion, and machine learning to address challenges in autonomous systems.

Goetz Bramesfeldمشاهده پروفایل

استاد

• Applied Aerodynamics
• Flight Vehicle Design
• Small UAV Design
• +۵ مورد دیگر

Dr. Goetz Bramesfeld serves as a Professor in the Department of Aerospace Engineering at Toronto Metropolitan University, where he leads research in applied aerodynamics and unconventional flight systems. His expertise spans flight vehicle design, small UAV development, and motorless flight dynamics, with particular emphasis on energy harvesting from atmospheric phenomena. Bramesfeld's educational background includes a PhD (2006) and MS (1999) from The Pennsylvania State University, and a BEng (1998) from Technische Universität Braunschweig. His research interests focus on applied aerodynamics , flight dynamics , and energy-efficient aircraft design , with notable contributions to sailplane optimization, gust energy extraction, and microwave-powered UAV concepts. His work bridges theoretical aerodynamics with practical applications in both terrestrial and planetary exploration contexts. Analysis of his publication record reveals consistent innovation in energy harvesting flight systems, particularly through gust energy extraction and unconventional propulsion methods. His research evolves from traditional sailplane optimization toward cutting-edge concepts like microwave-powered aircraft and planetary exploration gliders, maintaining strong connections between fundamental aerodynamics and real-world flight applications. Bramesfeld actively supervises graduate students through the Applied Aerodynamics Laboratory of Flight (AALF) and maintains significant professional engagement as a Senior Member of the American Institute of Aeronautics and Astronautics (AIAA), member of the Canadian Aeronautics and Space Institute (CASI), Associated Editor for the Technical Soaring Journal, and board member of the Organisation Scientifique et Technique du Vol à Voile (OSTIV).

• Robotics
• Unmanned Aerial Vehicles (UAVs)
• Mechatronics
• +۷ مورد دیگر

Alexis Lussier Desbiens is an Associate Professor at the Université de Sherbrooke in the Department of Mechanical Engineering , Faculty of Engineering. He co-founded several research labs and initiatives including NSERC CREATE CoRoM (Collaborative Robotics in Manufacturing) and NSERC CREATE UTILI (Uninhabited Aircraft Systems Training). His work bridges robotics, mechanical design, and sports equipment innovation. PhD in Mechanical Engineering (Stanford University, 2012) BEng in Mechanical Engineering (Université de Sherbrooke, 2005) Postdoctoral Research (Harvard University, 2013) His research focuses on robotics and automation , particularly unmanned aerial vehicles (UAVs) with bioinspired design principles for mechanical intelligence. Key areas include: Autonomous UAV perching and climbing Hybrid locomotion systems Sports equipment dynamics (skis, hockey sticks) Magnetorheological actuator applications Conservation biology tools via aerial sampling Recent publications highlight interdisciplinary work in robotics , sports engineering , and ecological monitoring . His projects often integrate mechanical design with environmental or human-centric applications. Scientific recognition includes: Best Student Paper (IEEE SMC, 2021) Best Poster (ISEA, 2020) National Geographic Explorer (2020) CSME Gold Medal (2005) Current grants (2020-2023) include: $339,000 - High-performance UAV for power line interactions $1.65M - NSERC CREATE UTILI training program $120,000 - Intelligent hockey stick development He also leads the CREATEK Research Lab and maintains global collaborations with institutions like Harvard University, Stanford University, MIT, and EPFL.

Eric Frewمشاهده پروفایل

استاد

• Autonomous Systems
• Robotics
• Unmanned Aircraft Systems
• +۳ مورد دیگر

Eric Frew is a Professor in the Department of Aerospace Engineering Sciences at the University of Colorado Boulder. He holds leadership roles including Director of the Autonomous Systems Interdisciplinary Research Theme (ASIRT) and former Director of the Research and Engineering Center for Unmanned Vehicles (RECUV). His research focuses on autonomous systems, heterogeneous unmanned aircraft systems, and optimal distributed sensing. He earned his PhD from Stanford University in 2003, and has been a faculty member at CU Boulder since 2004. Education: PhD, Aeronautics and Astronautics, Stanford University, 2003 MS, Aeronautics and Astronautics, Stanford University, 1996 BS, Mechanical Engineering, Cornell University, 1995 Research Interests: Networked unmanned systems Optimal distributed sensing Controlled mobility in sensor networks Miniature self-deploying systems Guidance and control of unmanned aircraft in complex atmospheric phenomena Notable Awards: Outstanding Mentor Award (2023) AIAA Associate Fellow (2013) NSF CAREER Award (2009) Grants and Labs: Leads the Center for Autonomous Air Mobility and Sensing (CAAMS), and has conducted field campaigns such as TORUS (Targeted Observation by Radars and UAS of Supercells). His work integrates theoretical research with practical deployment of autonomous systems for environmental monitoring and severe weather studies. Labs/Teams: Active in CAAMS and RECUV, collaborating with industry/government on pre-competitive research in autonomous air mobility and sensing.

• Flexible spacecraft
• Flight control systems
• Robotic systems
• +۷ مورد دیگر

Elisa Capello is a Full Professor of Flight Mechanics at Politecnico di Torino, Department of Mechanical and Aerospace Engineering (DIMEAS). She serves as Contact person for internationalization of innovation and technology transfer, Member of the Interdepartmental Center PIC4SeR (PoliTO Interdepartmental Center for Service Robotics), and Deputy Coordinator of the Doctoral College in Aerospace Engineering. With over 100 publications, her work spans aerospace engineering, control systems, and robotics. Her research focuses on flexible spacecraft, flight control systems, robotic systems, and unmanned aerial vehicles. She designs guidance, control and navigation systems for aircraft and spacecraft, develops control systems for wind turbines and wind farms, studies flight mechanics of fixed and rotary wing aircraft, tests unmanned aerial systems, and plans mission control for autonomous systems. Her work bridges theoretical control systems with practical aerospace applications, with strong emphasis on experimental validation. Her recent publications demonstrate a strong focus on advanced control techniques for aerospace applications, particularly in UAV control, spacecraft formation flying, and robotic systems. There's a clear trend toward integrating machine learning with traditional control methods, as seen in transformer-based MPC and multimodal learning approaches. Her work spans theoretical development, simulation, and experimental validation across multiple platforms. Member of the Editorial Board of IEEE Control Systems Society (2019-) Member of the Scientific Committee - IEEE Technical Committee Aerospace Control (2016-) International FAI Judge for Helicopter Championship (2009-2015) Professor Capello supervises numerous PhD students working on topics including autonomous aerial vehicles, path planning, risk analysis, spacecraft dynamics, and control. She leads multiple research projects including CREATEFORUAS (2019-2022), Assessment of drag free control systems for L3 gravity wave observatory (2018-2019), and Guidance, Navigation and Control algorithms for in-Orbit servicing (2020-2021). Her international collaborations include institutions in the USA, Japan, and Germany. She is actively involved with the Flight Dynamics, Control and Simulation research group at DIMEAS and the DRAFT (DRones Autonomous Flight Team) at PoliTo, where she mentors students in developing autonomous flight capabilities for various applications.

Meyer Nahonمشاهده پروفایل

استاد

• Dynamics and Control
• Aerospace Engineering
• Unmanned Aerial Vehicles (UAVs)
• +۴ مورد دیگر

Meyer Nahon is a Professor at McGill University specializing in dynamics and control systems with cross-domain applications in aerospace, underwater vehicles, and robotics. He maintains active affiliations with the Aerospace Mechatronics Lab, Centre for Intelligent Machines (CIM), and McGill Institute for Aerospace Engineering (MIAE). His academic credentials include: Ph.D. from McGill University M.ASc. from University of Toronto B.ASc. from Queen's University Research spans fundamental mechanical systems (cable dynamics, vehicle dynamics), aeronautical systems (tethered aerostats, autonomous vehicles), underwater systems (ROVs/AUVs), and robotics (parallel mechanisms, flight simulators). His work integrates sensor-based motion measurement using accelerometers, rate gyros, and GPS for comprehensive dynamic analysis across platforms. Recent publications (2015-2019) reveal concentrated UAV research including aerobatic maneuvering, slipstream dynamics, and propeller modeling, while extending to marine structures through mooring system analysis. This demonstrates consistent application of control theory across aerial, marine, and mechanical domains with emphasis on extreme maneuvering and system validation. As leader of the Aerospace Mechatronics Lab, he directs research in cable-actuated systems (cranes, elevators), UAV motion planning, and underwater vehicle dynamics within McGill's collaborative research ecosystem.

Mikael Eklundمشاهده پروفایل

استاد

• Autonomous Systems
• Nonlinear System Identification and Control
• Health Informatics
• +۳ مورد دیگر

Dr. Mikael Eklund is a Professor in the Department of Electrical, Computer and Software Engineering at Ontario Tech University, within the Faculty of Engineering and Applied Science. He holds a PhD (2003), MSc (1996), and BSc (1989) in Electrical and Computer Engineering from Queen’s University. His research focuses on Autonomous Systems , Nonlinear System Identification and Control , Health Informatics , and Pervasive and Mobile Computing . He has expertise in medical image processing, robotic vehicles, and smart sensors for assisted living. Education and Work Experience : - PhD (Electrical and Computer Engineering), Queen’s University (2003) - MSc and BSc from Queen’s University (1996, 1989) - Visiting Postdoctoral Scholar at UC Berkeley (2003–2006) - Adjunct Assistant Professor at Queen’s University (2003) - Former Teaching Fellow at Queen’s University (1996–2001) - Industrial experience in flight control system engineering (CAE Inc., 1989–1996) Research Contributions : - Developed SensorNet, a wireless infrastructure for assisted living. - Advanced methods for nonlinear system identification in chemical processes and aerospace systems. - Pioneered real-time UAV safety protocols and model predictive control algorithms for aerial pursuit-evasion games. - Explored EMG signal processing for hand force estimation and MEG signal source localization in neuroscience. Teaching and Outreach : - Teaches courses like Medical Image Processing and Electric Circuits. - Active in interdisciplinary projects like the ITALH initiative for elder tech integration. - Presented at conferences such as IEEE EMBC, ACC, and CDC, emphasizing healthcare IT and autonomous systems.

Matthew Marinoمشاهده پروفایل

دانشیار

• Aerospace Engineering
• Unmanned Aerial Systems
• Drone Technology
• +۴ مورد دیگر

Dr. Matthew Marino is an Associate Professor in the School of Aerospace Engineering and Aviation at RMIT University. He leads the Unmanned Aerial Systems Research Team and focuses on advancing drone technology for novel applications. With 15 years of experience in fixed-wing and multirotor drones, he emphasizes teaching and empowering engineering students. His research spans aerodynamics, UAV design, and sustainable aviation. Industry Experience: Siemens AG, Thales, Austal Ships, and Stoprotor. Research Interests: Aerospace Engineering, Fluid Dynamics, UAVs, and Environmental Science. Supervision: Open to PhD/Masters students in areas like wingtip optimization, propulsion systems, and humanitarian UAV applications. His work bridges theoretical aerodynamics with practical drone solutions, addressing urban flight challenges and energy-efficient systems. Key contributions include drag estimation models and hybrid-electric propulsion research.

Shaohui Foongمشاهده پروفایل

دانشیار

• Robotics
• Aerospace Engineering
• Control Systems
• +۴ مورد دیگر

Shaohui Foong is an Associate Professor in the Engineering Product Development (EPD) pillar at Singapore University of Technology and Design (SUTD). He previously served as a Visiting Assistant Professor at MIT's Department of Mechanical Engineering (2011). His research focuses on innovative robotics and UAV systems, medical technology, and design-centric pedagogy. Core projects include magnetic localization for medical devices, nature-inspired aerial robotics (e.g., THOR hybrid UAV), and competitive engineering design activities like Designettes. Research interests span biomimetic flight systems, autonomous navigation, and interdisciplinary educational frameworks. Notable innovations include the Transformable HOvering Rotorcraft (THOR), which merges fixed-wing and rotor-wing capabilities, and magnetic localization for nasogastric tube tracking. His work emphasizes practical applications in healthcare, infrastructure inspection, and environmental monitoring. Teaching emphasizes ethical engineering practice and hands-on design. He actively mentors students across PhD, master’s, and undergraduate levels, offering research opportunities in robotics, control systems, and medical technology. Collaborative projects with industry and academic partners are encouraged, with a focus on sustainability and technological innovation. Current research trends reflect a blend of bio-inspired design, advanced control algorithms, and cross-disciplinary problem-solving. Recent publications highlight advancements in monocopter dynamics, hybrid UAV architectures, and sensor integration for medical and industrial applications.

Ricardo A. Calixمشاهده پروفایل

استاد

• Machine Learning
• Natural Language Processing
• Deep Learning
• +۴ مورد دیگر

Ricardo A. Calix is a Professor of Computer Information Technology at Purdue University Northwest. His research focuses on Machine Learning, Natural Language Processing, AI applications in Cyber Security and Healthcare, and Deep Learning methodologies. He holds a Ph.D. in Engineering Science from Louisiana State University. Key research areas include ethical AI model analysis, reinforcement learning for aerospace control systems, and industrial automation through machine learning. His work spans cybersecurity tools (e.g., CyberSecTK) and healthcare data mining from social media. Calix has secured grants as PI/Co-PI for projects like 'Detection of Potential Drug Effects from Twitter Data' (NIH) and 'A Smart and Fast IDS' (Northrop Grumman). He authored Getting Started with Deep Learning: Programming and Methodologies Using Python (2017). Recent publications (2023-2024) address biases in AI models, blast furnace automation, and autonomous aircraft control via reinforcement learning. His work bridges theoretical AI with practical applications in industry and security.

• Aerospace Engineering
• Flight Dynamics
• Aircraft Design
• +۳ مورد دیگر

Karim Abu Salem serves as a Fixed-term Assistant Professor in the Department of Mechanical and Aerospace Engineering (DIMEAS) at the Polytechnic University of Turin, affiliated with the College of Mechanical, Aerospace, and Automotive Engineering. He additionally holds invited membership in the College of Management and Production Engineering. His teaching portfolio includes Aerospace Vehicle Design, Space Flight Mechanics/Structures, Space Environment Operations, and Aeronautical Legislation courses for both bachelor's and master's programs in Aerospace Engineering. Dr. Abu Salem's research centers on sustainable aviation innovation, specializing in box-wing aircraft configurations, hybrid-electric and hydrogen propulsion systems, and advanced structural design methodologies. His work addresses critical challenges in emissions reduction, flight dynamics optimization, and climate impact mitigation through computational modeling, metamodeling techniques, and multidisciplinary design analysis. Key focus areas include unconventional aircraft architectures, power management systems, and metamaterial applications for next-generation aerospace vehicles. Analysis of his recent publications (2023-2025) reveals a concentrated research trajectory toward decarbonizing regional and medium-range aviation. His work demonstrates increasing emphasis on liquid hydrogen propulsion, box-wing aerodynamic efficiency, and holistic environmental impact assessment beyond CO 2 emissions. The publications exhibit strong collaboration patterns with researchers like G. Palaia and E. Carrera, primarily targeting high-impact journals in aerospace engineering and sustainability. As an active educator, Dr. Abu Salem contributes to curriculum development across multiple aerospace engineering programs, bridging theoretical concepts with emerging sustainable aviation technologies through his course collaborations and lectures.

Donghoon Kimمشاهده پروفایل

استادیار

• Autonomous Systems Design
• Fault-Tolerant Control
• Health Monitoring of Autonomous Systems
• +۳ مورد دیگر

Dr. Donghoon Kim is an Assistant Professor at the University of Cincinnati's Department of Aerospace Engineering and Engineering Mechanics, part of the College of Engineering and Applied Science. He leads the Intelligent Autonomous Systems Research Laboratory (IASSRL), focusing on autonomous systems, fault-tolerant control, and celestial mechanics. Prior to academia, he worked at LG Electronics as a Senior Research Engineer, developing service robotic platforms. His professional affiliations include senior membership in AIAA and IEEE, and roles in technical committees for Astrodynamics and Robotics. Education: PhD in Aerospace Engineering (Texas A&M University, 2013) MS and BS in Aerospace & Mechanical Engineering (Korea Aerospace University, 2010 and 2008) Research Interests: Dr. Kim's work centers on intelligent autonomous systems , including robotic control, spacecraft dynamics, and machine learning integration. He emphasizes fault-tolerant control systems and health monitoring for autonomous platforms. His projects span celestial mechanics applications and deep learning-driven solutions for aerospace challenges. Grants & Awards: Recipient of the Neil Wandmacher Teaching Award (2022) $2.3M Air Force Research Lab grant for space robotics technologies (2024) $569K DoD grant for multi-agent trajectory planning (2024) Labs & Teams: Directs the IASSRL , collaborating on projects like the LEOPARDSAT-1 orbital platform and IntroSat educational spacecraft. Engages in industry partnerships with companies like Gimbal Innovations and CincyTech .

• Predictive Maintenance
• Prognostics and Health Management (PHM)
• Decision Support Systems
• +۶ مورد دیگر

Dr. Wim J.C. Verhagen is an Associate Professor and Deputy Head of Department (Research & Innovation) in the School of Engineering at RMIT University, Melbourne. His research focuses on predictive maintenance, decision support systems, and aerospace engineering, with emphasis on data-driven models for aircraft systems. He holds industrial collaborations with global entities like Airbus, NASA, and KLM. Education: Former Assistant Professor at TU Delft (Netherlands), alumni of TU Delft. Academic roles include leadership in RMIT's Aerospace Engineering department since 2024. Research interests: Development of prognostics and health management (PHM) systems, maintenance decision support using NLP and mixed reality, and optimization of maintenance planning. Over 100 peer-reviewed publications. Industry projects: Principal investigator in EU-funded projects like Clean Sky 2 AIRMES (€5.6M H2020 ReMAP) and partnerships with Australian defense and aviation sectors (DSTG, CASG). Teaching: Coordinates courses in aircraft maintenance management, aviation quality systems, and analytical writing techniques. Supervises postgraduate and undergraduate research students.