جستجوی استاد راهنمای دانشگاهی

• Artificial Intelligence
• Machine Learning
• Computer Vision
• +۵ مورد دیگر

Jing Zhao is a Professor at Beijing Institute of Technology's School of Automation, Department of Computer Science, with an extensive publication record spanning artificial intelligence, computer vision, medical imaging, and robotics. Their interdisciplinary research bridges theoretical computer science with practical applications in healthcare, agriculture, and engineering. Research interests focus on cutting-edge AI methodologies including deep learning architectures, neural rendering techniques, and multimodal systems. Notable work includes advancements in 3D reconstruction (Gaussian Splatting), medical image analysis for cancer diagnosis, and novel approaches to EEG-based emotion recognition. The research demonstrates strong interdisciplinary connections between computer science and domain-specific applications. Recent publications reveal a consistent trend toward practical AI implementations across diverse fields. Jing Zhao's work shows expertise in adapting theoretical machine learning concepts to solve real-world problems in medical diagnostics, agricultural monitoring, and robotics. The research portfolio demonstrates particular strength in developing novel neural network architectures for specialized applications. As a corresponding author on numerous high-impact publications, Jing Zhao appears to lead a productive research group with collaborations spanning multiple institutions and disciplines. The publication record indicates significant contributions to both theoretical computer science and applied AI solutions across various domains.

• Sustainable Aviation
• Electric Aircraft Design
• eVTOL Development
• +۳ مورد دیگر

David Lampl is a Lecturer at the Chair of Aviation Systems, Technische Universität München. His office is located at Boltzmannstr. 15(5506)/III, 85748 Garching b. München, with contact available via phone (+49 89 289-16748) or email. He is affiliated with the research areas of Aircraft Design and Analysis and Evaluation of Aircraft Concepts. Research Focus: David specializes in sustainable aviation technologies, with emphasis on: Electric aircraft design methodologies eVTOL (electric Vertical Take-Off and Landing) development Hydrogen fuel cell applications in aviation Aircraft concept feasibility and performance analysis His current project explores performance and flight mechanics of electric VTOL aircraft. Publication Trends: All recent publications (2023) focus on electric and hybrid-electric VTOL aircraft, covering aerodynamic optimization, urban operation frameworks, propulsion integration, and performance validation. Research consistently addresses sustainability challenges in urban air mobility. Laboratory Affiliations: Associated with TUM's aviation infrastructure including: Flying Demonstrator Lab System Integration Lab Flight Test Field IMPULLS research initiative

• Robotics
• Control Systems
• Unmanned Aerial Vehicles
• +۳ مورد دیگر

Pascal Morin serves as a University Professor at Sorbonne University within the Faculty of Science and Engineering. He is an active member of the ASIMOV research team at the Intelligent and Robotic Systems Institute (ISIR), located at 4 Place Jussieu in Paris. His office H17 serves as the base for his research activities in advanced robotics and control systems. Professor Morin's research focuses on cutting-edge robotics applications, particularly in unmanned aerial vehicle navigation and control systems. His work spans nonlinear control theory, visual servoing techniques, and micro air vehicle development. Key interests include homography estimation for image stabilization, thermal anemometry for airflow sensing, and obstacle avoidance algorithms for precision robotics. His publications demonstrate consistent innovation in combining theoretical control frameworks with practical robotic implementations. Analysis of his 15 most recent publications reveals strong thematic continuity in UAV navigation systems, with increasing integration of deep learning techniques since 2020. His work consistently addresses GPS-denied environments and sensor fusion challenges, with notable contributions to thermal-based odometry and visual-inertial navigation systems. The research trajectory shows progression from theoretical control frameworks toward increasingly complex real-world applications including power line inspection and microscopy manipulation. Professor Morin actively collaborates with major aerospace institutions including ONERA and DLR, as evidenced by his participation in the EuRoC challenge. His editorial work on MAV navigation special collections demonstrates leadership in the micro air vehicle research community. While specific grant details aren't provided in the source material, his sustained publication output across multiple high-impact journals indicates successful funding acquisition. As a core member of the ASIMOV team at ISIR, Professor Morin contributes to Sorbonne University's leadership in robotics research. The team maintains strong industry connections through publications in Aerospace Lab and collaborations with organizations like AIAA. Current research directions appear focused on thermal sensor integration for MAVs and nonlinear control solutions for challenging operational environments.

Thomas Statherosمشاهده پروفایل

استادیار

• Autonomous Systems
• Aerospace Engineering
• Avionics
• +۴ مورد دیگر

Thomas Statheros is an Assistant Professor in Aerospace Engineering (Avionics, Autonomy, and Safety) at Coventry University, affiliated with the Research Centre for Future Transport and Cities (CFTC). He leads the Critical Autonomy and Safety Laboratory (CAUSLab) and contributes to British Standards Institution (BSI) standards for autonomy and safety. With over 23 years of experience in industrial and academic research, he specializes in Autonomous Systems, AI, Embedded Systems, and Avionics Design, collaborating with aerospace, automotive, and marine industries. He has designed safety-critical systems for projects like the LEMV airship and helicopter weather radar control panels, adhering to standards like DO-178B and ARP4754. His research focuses on Autonomous Systems Architecture, eVTOL aircraft, Avionics, and Safety-Critical Systems. Recent work includes developing efficient certification processes for aerospace and automotive industries, as well as designing verification/validation frameworks using simulators like Gazebo/Omniverse. He has led projects such as the EV-LIFT (Innovate UK), contributing £389K to Coventry University’s research on electric vehicle safety and performance. Key research trends in his articles include advancements in eVTOL design methodologies, battery health monitoring via optical sensors, and secure communication systems for non-terrestrial networks. His work bridges academic innovation with industrial application, emphasizing real-world testing and certification challenges. Teaching contributions include pioneering requirement-based verification in avionics modules and supervising over 35 undergraduate/postgraduate projects on autonomy, control systems, and safety-critical engineering. Collaborative efforts span industries and academic institutions, with notable partnerships in the UK, Europe, and the US. Current initiatives aim to address sustainability in aerospace and automotive sectors through hydrogen production and energy-efficient technologies.

İsmail Bayezitمشاهده پروفایل

استادیار

• Unmanned Aerial Vehicles
• Flight Control Systems
• Autopilot Design
• +۳ مورد دیگر

Dr. İsmail Bayezit serves as an Assistant Professor in the Department of Aeronautical Engineering at Istanbul Technical University (ITU), Turkey, with active research since 2007. His work bridges aerospace and marine engineering domains, focusing on unmanned systems and control technologies. With an h-index of 8 and 321 Scopus citations across 33 research outputs, he has secured 6 major research projects including VTOL system development and marine craft autonomy initiatives. His research fingerprint reveals dominant expertise in Quadcopter Engineering (100%), Motion Control (81%), and Unmanned Aerial Vehicle systems (80%). He specializes in advanced control methodologies including extremum-seeking control, LQR techniques, and distributed control strategies. Current work extends into AI-integrated navigation systems and energy-optimized flight performance, with significant crossover applications in marine craft control and underwater acoustics. Recent publications (2024-2025) demonstrate three converging trends: optimization of electric multirotor performance through energy-aware control, neural network-assisted navigation for GPS-denied environments, and cross-domain applications of control theory to both aerial and marine systems. His work increasingly integrates artificial intelligence with traditional control frameworks while maintaining strong experimental validation through physical prototypes. Bayezit has supervised 21 students and led 6 research projects from 2017-2025, including EU-funded initiatives on VTOL systems and national projects on UAV education sets. His project portfolio shows consistent progression from fundamental control theory (2017-2019) toward applied AI integration (2023-2025), with recent work focusing on autonomous marine craft instrumentation and next-generation UAV performance optimization.

Jin Woo Songمشاهده پروفایل

دانشیار

• Navigation and Sensor Systems
• Control Theory
• Estimation Theory
• +۷ مورد دیگر

Jin Woo Song is an Associate Professor in the Department of Artificial Intelligence and Robotics at Sejong University's School of Intelligent Mechatronics Engineering. He has held academic positions at Seoul National University and Hoseo University prior to joining Sejong University in 2017. His professional experience also includes serving as CTO/COO at Microinfinity Co., Ltd. from 2004-2014. Currently, he holds multiple leadership roles including Director of Sejong Enterprise Support Foundation, Director of SW-AI Convergence Center, and Provost of Sejong University. Dr. Song received his B.S., M.S., and Ph.D. in Control and Instrumentation Engineering/Electrical Engineering from Seoul National University. His educational background laid the foundation for his expertise in navigation systems and control theory. Dr. Song's research focuses on navigation and sensor systems, control theory, and estimation theory with applications in unmanned systems. His work spans MEMS inertial sensor technologies, Kalman filtering techniques, optimal and robust control theories, and fault detection algorithms. His research has significant applications in unmanned aircraft systems, autonomous vehicles, robotics, and military intelligence systems. His recent publications (2023-2025) demonstrate continued innovation in navigation systems, with emphasis on fault tolerance, sensor fusion, and improved positioning accuracy in challenging environments. His work shows strong trends toward integrating multiple sensor modalities and developing robust algorithms for real-world navigation challenges. Best student paper award, NAECON2000 (IEEE, National Aerospace and Electronics Conference), USA, 2000 Ministry Award, 'IT R&D Engineer of the Year', Ministry of Information and Communication, Republic of Korea, 2005 Best Presentation Award, ICASS 2015, 2015 Best Paper Award, KIEE Conference, 2019 Distinguished Teaching Award, Sejong University, 2021 Distinguished Research Award, Sejong University, 2022 Distinguished Professor, Sejong University, 2024 Dr. Song has served as Editor-in-Chief for ICROS journal and holds editorial positions for multiple prestigious journals including the International Journal of Aeronautical and Space Sciences. He has been actively involved in numerous research grants and industry collaborations, including a recent academic-industrial partnership with Hanwha Systems. As Vice-President of The Institute of Control, Robotics and Systems (ICROS) and various other professional organizations, he plays a significant role in shaping research directions in his field. He leads the Intelligent Navigation and Control Systems Lab at Sejong University, where his team develops cutting-edge navigation sensors and systems, optimal controllers for autonomous systems, and embedded systems for reliable navigation and control. The lab's work has direct applications in unmanned aircraft systems, autonomous vehicles, robotics, and military intelligence systems.

Hamid Ossarehمشاهده پروفایل

دانشیار

• Systems and Control Theory
• Predictive Control
• Nonlinear Control
• +۴ مورد دیگر

Hamid Ossareh is an Associate Professor in the Department of Electrical and Biomedical Engineering at the University of Vermont's College of Engineering and Mathematical Sciences. He serves as Co-director of the CREATE Center and is actively involved in the IEEE Control Systems Society, including roles as Associate Editor for IEEE Transactions on Control System Technology and technical consultant for Beta Technologies in flight controls. PhD in Electrical Engineering (Control Theory), University of Michigan, 2013 MS in Mathematics, University of Michigan, 2012 MSE in Electrical Engineering, University of Michigan, 2010 BASc in Electrical Engineering, University of Toronto, 2008 His research focuses on systems and control theory, particularly predictive control, nonlinear control, and constrained control with applications in automotive, aerospace, and power systems. He leads projects funded by the National Science Foundation (CAREER Award) and Department of Energy, including constraint-aware control algorithms for hybrid energy systems and real-time control theory for uncertain systems. Recent research trends include data-driven control formulations, fault detection in electric aircraft, stochastic linearization techniques, and optimization of satellite swarm navigation. His work bridges theoretical advancements with practical implementations across multiple industries. Excellence in Research Award, UVM CEMS, 2021 Faculty of the Year Award, IEEE Green Mountain Section, 2018, 2020 NSERC Postgraduate Awards (PGS-M and PGS-D), Government of Canada Adel Sedra Gold Medal, University of Toronto, 2008 Ossareh has advised numerous PhD and MS students in control systems and power systems, with past advisees including Dr. Sarnaduti Brahma and Dr. Yudan Liu. His current projects include advanced control of hydrogen fuel cells and real-time constraint-aware algorithms for autonomous systems.

• Multidisciplinary Design Optimization (MDO)
• Aerospace Engineering
• Surrogate Models
• +۶ مورد دیگر

Nathalie Bartoli is a Senior Research Scientist (DR2) at ONERA and a Professor at ISAE-SUPAERO. She holds a Habilitation degree (HDR) in Applied Mathematics and specializes in Multidisciplinary Design Optimization (MDO), surrogate modeling, and Bayesian optimization. Her work focuses on aerospace applications, particularly aircraft design and optimization algorithms. She leads the Multidisciplinary Methods and Integrated Concepts Unit (DTIS/M2CI) at ONERA and teaches courses on optimization and MDO at ISAE-SUPAERO. Her research interests include surrogate models (Kriging/Gaussian Processes, mixture of experts), Bayesian optimization, and data fusion techniques. She is a member of the AIAA MDO Technical Committee and has organized workshops such as the MDO PhD Day (2019) and European MDO Workshops (2019, 2020). She has supervised over 25 PhD students and co-authored the SMT Python toolbox for surrogate modeling. Recent achievements include keynote speaking at NATO conferences, winning AIAA MDO Best Paper Awards (2022, 2020), and contributions to the AGILE H2020 project. Her work integrates manufacturing, supply chain, and aircraft design through MDO frameworks, addressing challenges in green aviation and hybrid propulsion systems. She collaborates internationally with universities like McGill and TU Delft, and industries like Airbus and DLR. Awards include the 2018 ICAS Award for AGILE project contributions and multiple best paper recognitions. Her research bridges theoretical optimization methods with practical aerospace engineering, emphasizing scalable algorithms for high-dimensional problems and industrial applications.

Tudor-Bogdan Airimitoaieمشاهده پروفایل

دانشیار

• Active noise and vibration control
• Adaptive regulation techniques
• Flat dynamic systems
• +۵ مورد دیگر

Tudor-Bogdan Airimitoaie is an Associate Professor in the Automatic Control group at IMS-lab, CNRS UMR 5218, University of Bordeaux. He leads research in adaptive control systems and flat dynamic systems within the Engineering and Digital Sciences Department. His work spans theoretical developments and practical applications in aerospace, automotive, and energy systems, with strong industry collaborations including Stellantis and Beyond the Sea. System's Engineering Diploma, University Politehnica of Bucharest, Romania (2008) PhD in Automatic Control, University of Grenoble and University Politehnica of Bucharest (2011-2012) Dr. Airimitoaie's research focuses on adaptive/learning algorithms and flat dynamic systems. His work addresses fundamental challenges in active noise and vibration control, with applications spanning wind energy systems, predictive maintenance, and convertible UAVs (combinations of VTOLs and conventional aircraft). He develops robust control algorithms that ensure safety and performance in complex dynamic environments, with particular emphasis on systems requiring fault tolerance and adaptive capabilities. His research bridges theoretical control principles with practical engineering implementations, often involving experimental validation on physical platforms. His recent publications demonstrate a strong trend toward integrating machine learning with traditional control theory, particularly in predictive maintenance applications. There's significant focus on accelerating adaptation algorithms through dynamic gain techniques and advancing fractional-order control methodologies. His work consistently addresses real-world challenges in aerospace (kite-based maritime transportation, convertible aircraft) and automotive systems (powertrain control), with increasing emphasis on sustainable energy solutions and safety-critical applications. Robert-Houdin award at the French seminar on Experimental Vibratory Analysis (2014) Best PhD award from the GdR MACS Best PhD in Automatic Control by the EEA Club (April 2013) Dr. Airimitoaie has supervised numerous PhD students working on convertible aircraft, tethered kite systems, and predictive maintenance applications. He has secured significant research funding as Principal Investigator for the ANR-funded MICA project (2016-2019) on fault detection for convertible UAVs, and as Co-investigator for the KiWin project (2023-) with Beyond the Sea on kite-based maritime transportation. His industry collaboration with Stellantis (2018-2022) on powertrain modeling and control demonstrates his ability to translate theoretical advances into practical automotive solutions. He also serves on editorial boards including IEEE Control Systems Letters starting in 2025. He is a key member of the CRONE and FFTG research teams within the Automatic Control group at IMS-lab. His laboratory work focuses on experimental validation of control algorithms using platforms including convertible aircraft demonstrators and tethered kite systems. The research environment supports both theoretical development and practical implementation of advanced control strategies, with strong connections to the broader control systems community through conference organization and technical committee memberships.

• Thermal Engineering
• Aerospace Engineering
• Jet Engines
• +۵ مورد دیگر

Dr. Tetsuya Satou is a Professor at the Department of Applied Mechanics within the School of Fundamental Science and Engineering at Waseda University . He holds a Doctor of Engineering degree from the University of Tokyo and has 20+ years of experience in aerospace engineering, including roles at JAXA, University of Tokyo, and the University of Bristol (UK). His research focuses on hypersonic propulsion systems, two-phase cryogenic flows, and air-intake aerodynamics. Education: Doctor of Engineering, University of Tokyo Key Affiliations: Waseda University, JAXA, Gas Turbine Society of Japan, AIAA Research Interests: Dr. Satou specializes in jet engine design , space plane propulsion , and thermal-fluid dynamics of cryogenic systems. His work includes advanced modeling of two-phase hydrogen flow , precooler technology , and supersonic intake instability (buzz phenomenon) . Article Trends: Recent publications emphasize CFD simulations for hypersonic flight, void fraction measurement in cryogenic systems, and flow regime transitions in hydrogen propulsion. These works often bridge theoretical analysis with experimental validation in wind tunnels and sounding rocket campaigns. Scientific Awards: Special Achievement Award, Gas Turbine Society of Japan (2022) Grand Prize, Numerical Simulation Category, 44th Fluid Mechanics Conference (2012) Professional Roles: Dr. Satou serves on NEDO Technical Committee and MEXT's Council for Science and Technology. He has led JAXA's Space Engineering Committee and advised on professional engineering examinations in Japan.

Chris Nichollsمشاهده پروفایل

مدرس

• Fluid Mechanics
• Aerospace Engineering
• Control Theory
• +۳ مورد دیگر

Dr. Chris Nicholls is a Lecturer in Engineering at Jesus College, University of Oxford, and a Junior Research Fellow at Trinity College. He holds a DPhil in Active Flow Control from the Oxford Thermofluids Institute (OTI) and has experience as a postdoctoral research assistant in the Active Flow Control group at OTI. Previously, he served as a stipendiary lectureship at St. John’s College during the 2019-20 academic year. His academic background includes an MEng and DPhil from Hertford College and Lincoln College, respectively. His research focuses on fluidic devices for aerospace applications, employing control theory and signal processing to analyze fluid dynamics. Key areas include fluidic oscillators, acoustic control of jets, and nonlinear flow dynamics. He teaches undergraduate courses in Mathematics and Electronic & Information Engineering at departmental and college levels. Recent work spans experimental and analytical studies of fluidic oscillators, jet dynamics under acoustic excitation, and closed-loop control systems for aerospace components. His contributions bridge traditional fluid mechanics with modern control methodologies. Dr. Nicholls collaborates with the Oxford Thermofluids Institute and maintains active involvement in engineering education, having taught third-year courses in the past. His work emphasizes practical applications of theoretical frameworks to real-world fluidic systems.

• Sustainable Aviation
• Electric Aircraft Propulsion
• Aeroacoustics
• +۴ مورد دیگر

Matthew A. Clarke is an Assistant Professor in the Department of Aerospace Engineering at the University of Illinois at Urbana-Champaign . His research focuses on sustainable aviation, electric aircraft propulsion, and aeroacoustics, with emphasis on thermal management systems for battery-electric aircraft. He holds a Ph.D. in Aeronautics and Astronautics from Stanford University (2022), an M.S. in Aeronautics and Astronautics from Stanford (2018), and a B.S. in Mechanical Engineering from Howard University (2016). Clarke’s research addresses critical challenges in electric aviation, including battery thermal management, noise reduction, and flight performance optimization. Notable contributions include developing methodologies for sizing thermal management systems and predicting battery degradation in electric aircraft. His work spans applied aerodynamics, aerospace systems design, and computational modeling tools like SUAVE. He is a member of the Vertical Flight Society, IEEE, and AIAA, and was recognized as a Forbes 30 Under 30 in Science (2023). Recent courses taught include AE 416: Applied Aerodynamics and AE 419: Aircraft Flight Mechanics . His publications highlight advancements in thermal system design for eVTOL and regional aircraft, emphasizing safe operation and extended battery life. Current projects explore noise pollution impacts of urban air mobility and optimizing thermal systems to enhance aircraft longevity.

Jonathan Liscouëtمشاهده پروفایل

دانشیار

• Aerospace Engineering
• Drone Design
• VTOL Aircraft Systems
• +۳ مورد دیگر

Dr. Jonathan Liscouët is an Associate Professor in the Department of Mechanical, Industrial and Aerospace Engineering at Concordia University. His research focuses on the design of drones and Vertical Takeoff and Landing (VTOL) aircraft tailored for safety-critical applications. He supervises Master's (MASc) and PhD students in Mechanical Engineering and leads the HiRAD Lab . He is available for consultations between 1-2 PM on Tuesdays and Thursdays. His work emphasizes high-reliability systems in aerospace engineering, integrating advanced mechanical and robotics principles. Professional Links: ORCID: 0000-0001-6731-554X

• Aerospace Engineering
• Space Technology
• Propulsion Systems
• +۳ مورد دیگر

Assoc Prof Matthew Richardson is an Associate Professor and Space Program Director at the University of Southern Queensland's School of Engineering. His work focuses on aerospace engineering, propulsion systems, and space technology innovations. He holds qualifications including a PhD from Tokyo and expertise in Japanese language. Education: BEng (Queensland) GCSpaceStd (University of South Australia) MAeroSci (Embry Riddle Aeronautical University) PhD (Tokyo) Research Interests: Propulsion Systems Design and Testing Combined Cycle Propulsion for Space Applications Reusable Launch Vehicle Technologies VTOL (Vertical Takeoff and Landing) Systems Economic Analysis of Space Infrastructure Recent Research Trends: His work emphasizes practical implementations of advanced propulsion systems (e.g., ATRIUM projects) and addresses sustainability challenges in space exploration through reusable systems and debris management strategies. Awards: None explicitly listed in the provided materials. Grants & Labs: His role as Space Program Director suggests leadership in space-related research initiatives, though specific grants or lab affiliations are not detailed here.

• Flight Dynamics
• Synthetic Sensors
• Urban Air Mobility
• +۴ مورد دیگر

Angelo Lerro is a Fixed-term tenure-track Assistant Professor at the Department of Mechanical and Aerospace Engineering (DIMEAS) , Politecnico di Torino. He specializes in Flight Dynamics , Synthetic Sensors , and Urban Air Mobility , with expertise in Aerospace Engineering and Control Systems . Research interests include synthetic sensor development, flight mechanics, and control algorithms for urban air mobility vehicles. His work spans machine learning applications in aerospace systems and unconventional aircraft configurations . Recent projects involve neural networks for air data systems and nonlinear control models . Publications focus on Kalman filtering , UAV formation control , and VTOL design . Articles highlight advancements in flight data analysis and aerodynamic modeling . Awards : Proof of Concept Network (2015) by Area Park Trieste, Italy Teaching and supervision include PhD courses like Introduction to Flight Experimentation and mentoring students such as Giorgio Antonio Orlando and Gabriele Tarascio. He serves as a Scientific Manager for commercial research projects and Visiting Researcher at UCLA (2011).