جست‌وجوی استاد و پژوهشگر

Farrokh Janabi-Sharifiمشاهده پروفایل

استاد

• Robotics and Automation
• Medical Robotics
• Continuum Robots
• +۶ مورد دیگر

Dr. Farrokh Janabi-Sharifi is a Professor and Associate Chair in Mechatronics at the Department of Mechanical, Industrial, and Mechatronics Engineering, Toronto Metropolitan University. He is a leading researcher in robotics and automation, with a focus on medical robotics, opto-mechatronics, and vision-based control systems. He leads the Robotics, Mechatronics, and Automation Laboratory (RMAL) and actively collaborates with cardiologists and industry partners. Education: PhD, University of Waterloo, 1995 MASc, University of Toronto, 1990 BSc, Middle East Technical University, 1987 His research interests center on the development of intelligent robotic systems for medical and industrial applications. He specializes in visual servoing, image-guided navigation, and continuum robots, aiming to enhance precision in surgical procedures such as atrial fibrillation correction. His work bridges engineering and healthcare, creating robots that are both technically advanced and human-centric. The recent articles highlight his expertise in vision-based robot control, medical device automation, and cooperative robotics. His publications emphasize robust programming by demonstration, force estimation in catheters, and multi-camera pose estimation, reflecting a strong trend in integrating computer vision with mechatronic control for real-world applications. Scientific Awards and Honors: Life Fellow of Canadian Academy of Engineering (FCAE) Fellow of Engineering Institute of Canada (FEIC) Fellow of Canadian Society for Mechanical Engineering (FCSME) Elsevier Certificate of Recognition for Most Cited Papers SPIE Best Conference Paper Awards Dr. Janabi-Sharifi supervises graduate students and serves as a research consultant for national and international companies such as CVSDI, Medmectron, Magnum Integrated Manufacturing, NDI, and Vibra Finish. He holds several patents and has secured funding through industry collaborations and academic grants. He is actively involved in professional service as associate editor for IEEE/ASME Transactions on Mechatronics and editorial board member for multiple robotics journals. He leads the Robotics, Mechatronics, and Automation Laboratory (RMAL) , where interdisciplinary teams develop next-generation robotic systems for healthcare and industrial automation. The lab fosters innovation in aerial manipulation, surgical robotics, and human-robot collaboration.

Asad Rehmanمشاهده پروفایل

استادیار

• Software-defined networking
• Fault-tolerance and reliability of networks
• Cloud and Edge Computing
• +۷ مورد دیگر

Asad Rehman, Ph.D., is a faculty member in the Department of Mathematics and Computer Science at Saint Louis University-Madrid (SLU-Madrid), part of the College of Arts and Sciences. His research focuses on next-generation networking technologies, including software-defined networking, cloud and edge computing, 5G/B5G networks, and fault-tolerant systems. Research Interests: Software-defined networking (SDN) and Network Functions Virtualization (NFV) Fault-tolerance and reliability in future networks Cloud and Edge Computing Service Assurance in virtualized environments 5G and Beyond 5G (B5G) Networks Generative AI for urban air mobility and disaster response His recent publications, primarily in IEEE Access and major telecommunications conferences, reflect a strong trend toward resilient, intelligent, and cloud-native network architectures. His work integrates AI-driven solutions with critical communications, particularly in disaster response and public safety. Many of his studies evaluate real-world implementations, performance comparisons (e.g., containers vs. unikernels), and experimental testbeds for 5G applications. Scientific Awards and Recognition: 2024 Research and Conference Travel Grant – SLU-Madrid FCT Ph.D. Research Grant (2015–2019), Portugal Visiting Scholar Grant from Telenor and FCT (2019) TÜBİTAK Project Grant (2013–2014) University of Sunderland International Scholarship (2010–2011) Multiple Certificates of Excellence from Elsevier and IEEE in ethics, research data management, social impact, funding, and industry collaboration Advising and Grants: While no formal students are listed, Dr. Rehman has been supported by significant research funding from national and international bodies, including the EU’s Horizon 2020 program (e.g., 5G-EPICENTRE, DARLENE, AC3, FIDAL, SOCA, 5GO), TÜBİTAK (Turkey), and FCT (Portugal). He has contributed to large-scale collaborative projects focused on public protection, disaster relief, and cognitive cloud-edge systems. Professional Engagement: Dr. Rehman actively contributes to the scientific community as a peer reviewer for IEEE, Springer, Wiley, and Oxford journals. He is a member of several IEEE communities, including IEEE Communications Society, IEEE Future Networks, Cloud Computing, and Smart Cities.

Ilkay Yavrucukمشاهده پروفایل

استاد

• Helicopter Technology
• VTOL Systems
• Aeronautics
• +۲ مورد دیگر

Prof. Ilkay Yavrucuk holds a professorship in Helicopter Technology and VTOL systems at the TUM School of Engineering and Design, Technical University of Munich. Her research focuses on advanced rotorcraft technologies and vertical takeoff/landing systems. No specific educational background, awards, or advised students are detailed in the provided text.

Dimitra Panagouمشاهده پروفایل

دانشیار

• Motion planning
• Coordination and control
• Robotic networks
• +۱۰ مورد دیگر

Dimitra Panagou is an Associate Professor with the Department of Robotics and the Department of Aerospace Engineering at the University of Michigan. She directs the Distributed Aerospace Systems and Control Laboratory (DASC Lab) located in the Ford Robotics Building, where she leads research in safe and resilient autonomy for robotic systems. Her research interests focus on motion planning, coordination and control of robotic networks, autonomous multi-vehicle systems, nonlinear systems and control, navigation and guidance, distributed/decentralized control, and dynamic coverage. Professor Panagou's work emphasizes the development of planning, learning and control methods to address real-world, safety- and time-critical problems through provably correct solutions. Her research spans nonlinear systems, decision making under constraints and uncertainty, estimation and learning, mission planning, and networked control systems with applications across aerial, ground, marine, and space domains. Professor Panagou's recent publications (2024-2025) demonstrate a strong focus on control barrier functions, safety-critical control, resilient multi-robot systems, and risk-aware navigation. Her work bridges theoretical foundations with practical applications in autonomous systems, with particular emphasis on providing mathematical guarantees for safety and performance. The research spans multiple domains including aerial vehicles, marine systems, and ground robotics, addressing challenges in uncertain environments and under various constraints. Professor Panagou has received several prestigious awards including: NASA Early Career Faculty Award AFOSR Young Investigator (YIP) Award NSF CAREER Award IEEE TCAC Best Student Paper Award (for work from her lab) She has been invited to deliver a plenary talk at CDC 2024 and a keynote talk at ICRA 2025, highlighting her prominence in the control and robotics communities. Her research is supported by multiple grants from agencies including NASA, NSF, and AFOSR. The Distributed Aerospace Systems and Control Laboratory (DASC Lab) is equipped with state-of-the-art facilities including a fleet of UAVs (Hummingbirds, Firefly, and Solos), a high-precision motion capture system with 14 VICON cameras, drone LiDAR, and various sensors. The lab conducts both indoor and outdoor flight experiments, with permission for outdoor flights over the Wave Field at the University of Michigan's North Campus.

Derrick Yeoمشاهده پروفایل

مدرس

• Robotics
• Aerospace Engineering
• Control Systems
• +۳ مورد دیگر

Derrick Yeo is a Lecturer in Robotics at the University of Michigan, affiliated with the Department of Robotics within the College of Engineering. His research focuses on advancing unmanned aerial systems (UAS), particularly in aerodynamic sensing, control systems, and multi-vehicle coordination. He specializes in improving UAV performance under environmental uncertainties such as wind gusts and plume tracking missions. Key research areas include tailsitter UAVs, cyclocopters, and fixed-wing gliders, with a strong emphasis on experimental validation and data-driven approaches. His work integrates sensor technologies to enhance autonomy in challenging environments. Notable contributions include strategies for energy-efficient motion planning, gust mitigation, and plume localization. Dr. Yeo has also developed educational modules like the nCoV-BusterBot simulation lab to support remote learning in autonomous systems. His publications span over a decade, reflecting expertise in aerodynamics, control systems, and interdisciplinary applications like cybersecurity education for engineers.

Maciej Zasuwaمشاهده پروفایل

دانشیار

• Flight Simulation
• Unmanned Aerial Vehicles (UAVs)
• Artificial Intelligence in Aerospace Engineering
• +۶ مورد دیگر

Maciej Zasuwa is an Associate Professor at Warsaw University of Technology's Faculty of Aeronautics and Power Engineering, specializing in Flight Simulation and Artificial Intelligence in Aerospace Engineering . As Vice-Dean for Education and Head of the Simulators Lab, he leads initiatives in simulator development and AI curriculum innovation. Ph.D. (with distinction) in 2004 for image processing-based navigation systems M.Sc. Eng. in 2000 His research spans UAV simulation, autonomous navigation, and AI applications in aerospace. Recent projects include: 2023 Boeing 737 MAX Simulator with anomaly detection algorithms 2022 AI-focused aerospace curriculum development Hyperloop simulator with motion platform/VR integration Academic achievements include: Dekaban Fellow at University of Michigan (2006-2007) Certified LabVIEW Associate Developer (2017) He mentors student teams in AI and simulation software development, with international collaborations spanning: Griffith University (Australia) University of Groningen (Netherlands) Lockheed Martin-sponsored OpUSS project

Thanakorn Khamvilaiمشاهده پروفایل

استادیار

• Avionics Systems
• Real-Time Optimization
• Guidance, Navigation, and Control of Autonomous Systems
• +۲ مورد دیگر

Dr. Thanakorn Khamvilai (TK) is an Assistant Professor of Aerospace Engineering in the Department of Mechanical Engineering at Texas Tech University's Whitacre College of Engineering. He previously served as an Assistant Research Professor at Pennsylvania State University's Unmanned Aircraft Systems Research Laboratory. Education: Ph.D. and M.S. in Aerospace Engineering from Georgia Institute of Technology; B.S. in Aerospace Engineering from Kasetsart University, Thailand. Research Focus: Specializes in avionics systems, real-time optimization, and guidance-navigation-control of autonomous systems. Current projects include VTOL aircraft flight control and adaptive control co-design, supported by the Texas University Fund. Past work involved GPS-denied navigation, fault-tolerant control, and drone systems funded by the Office of Naval Research, NSF, FAA, and industry partners. Service & Professional Engagement: Advisor for Raider Aerospace Society and Thai Student Association; serves on AIAA Digital Avionics Technical Committee and as a reviewer for multiple journals and conferences.

Rafic Ajajمشاهده پروفایل

دانشیار

• VTOL Aircraft
• Morphing Wings
• Aircraft and UAV Design
• +۴ مورد دیگر

Dr. Rafic Ajaj is an Associate Professor in the Department of Aerospace Engineering at Khalifa University of Science and Technology (KUST), a position held since August 2019, and concurrently serves as a Visiting Academic in Aerospace Structures at the University of Southampton, UK. He manages KUST's Flight Dynamics and Simulation Laboratory and has been recognized in Stanford University's "Top 2% Most Influential Scientists" list for both 2022 and 2023. Education: Diploma in Aviation Studies, International Air Transport Association (Canada), 2017 PhD in Aerospace Engineering, Swansea University (UK), 2013 MSc in Integrated Aerospace Systems Design, University of Bristol (UK), 2009 BSc in Mechanical Engineering, University of Balamand (Lebanon), 2008 Research Interests: Dr. Ajaj's work centers on transformative aerospace technologies, with primary emphasis on VTOL aircraft , morphing wings , and adaptive structures . His expertise extends to aircraft/UAV design, flight mechanics, aeroelasticity, and flight dynamics and control. Notably, his 2015 Royal Academy of Engineering-funded collaboration with Airbus UK yielded a patented actuation system for folding wingtips (US11203410B2), demonstrating practical applications in load alleviation for transport aircraft. Scientific Awards: Stanford University's Top 2% Most Influential Scientists (2022 and 2023) Royal Academy of Engineering Industrial Secondment Fellowship (2015) Boeing UK Prize for Best Master's Research Project (2009) University of Bristol Faculty of Engineering Outstanding Student Award (2009) Fellow of the Higher Education Academy (2015) Advising and Grants: Dr. Ajaj currently supervises five PhD students and two MSc students as primary or co-advisor, with recent graduations including Zawar Haidar (PhD, 2024) and Bara'ah Fraihat (MSc, 2023). He leads the "Morphing Aircraft Technologies" project funded for 30 months starting January 2025, which includes recruitment for one postdoctoral fellow and three PhD positions. Laboratories and Teams: He directs KUST's Flight Dynamics and Simulation Laboratory and maintains affiliations with the Advanced Research and Innovation Center and KU Center for Autonomous Robotic Systems Research, supported by research staff including Postdoctoral Fellow Dr. Dilshad Ahmad and Research Associate Ms. Baraah Fraihat.

Linh Thi Xuan Phanمشاهده پروفایل

استاد

• Real-Time Systems
• Embedded Systems
• Cyber-Physical Systems
• +۲ مورد دیگر

Linh Thi Xuan Phan is a Professor at the University of Pennsylvania , affiliated with the Computer and Information Science Department and the School of Engineering and Applied Science . She is a co-director of the MSE in Data Science (DATS) program and a member of the PRECISE Center and the Distributed Systems Lab . Her research focuses on real-time/Embedded Systems , cyber-physical systems , distributed systems , and security . She develops theoretical foundations and systems techniques for building cost-effective large-scale systems with provable safety, fault tolerance, security, and real-time performance. Key projects include bounded-time recovery mechanisms for cyber-physical systems, scalable resource allocation for modern hardware, and defensive architectures for data centers. Recent publications highlight trends in probabilistic resource usage learning , real-time intrusion detection , and fault tolerance strategies for multi-robot systems and aerial vehicles. Her work has received awards at conferences like RAGE , RTAS , and ICRA . Scientific Awards : 2023: Best Paper, RAGE 2020: Lindback Award for Distinguished Teaching 2018: NSF CAREER Award 2018: Outstanding Paper, RTAS 2017: ACM Future of Computing Academy PhD students advised include Robert Gifford , Karan Newatia , Yifan Cai , Abby Eisenklam , and graduated students like Yang Li , Jaewoo Lee , and Meng Xu . She has served on program committees for RTSS , EMSOFT , and DATE , and held leadership roles in ACM SIGBED and IEEE TCRTS .

Srikanth Gururajanمشاهده پروفایل

دانشیار

• Fault Tolerant Flight Control Systems
• Unmanned Aerial Vehicle (UAV) Experimental Testing
• UAV-Based Remote Sensing Applications
• +۵ مورد دیگر

Srikanth Gururajan is an Associate Professor in the Department of Aerospace and Mechanical Engineering at Saint Louis University's School of Science and Engineering. His research focuses on fault-tolerant flight control systems, experimental flight testing with UAVs, and UAV-based remote sensing applications in precision agriculture, pest management, and emissions monitoring. He leads the Aircraft Computational & Resource Aware Fault Tolerance (AirCRAFT) Lab and has extensive experience in UAV platform design and interdisciplinary research collaborations. Ph.D. in Aerospace Engineering (West Virginia University) M.S. in Mechanical Engineering (West Virginia University) Bachelor of Engineering (University of Madras, India) Gururajan's work bridges computational modeling with real-world UAV applications, emphasizing structural health monitoring, adaptive control algorithms, and STEM outreach. His publications highlight expertise in sensor fusion, formation flight control, and UAV performance evaluation. He previously served as a Post-Doctoral Fellow at West Virginia University, where he managed UAV flight testing programs and developed fault-tolerant control frameworks. At Saint Louis University, he integrates aerospace design competitions into pedagogy to enhance interdisciplinary learning.

Don Leeمشاهده پروفایل

استادیار

• Robotics
• Artificial Intelligence
• Machine Learning
• +۷ مورد دیگر

Don Lee is an Assistant Professor at Pacific University in Stockton, California. His research and teaching focus on robotics, artificial intelligence, and machine learning, with specialization in autonomous vehicles, ethical robotics, and control systems. He can be reached at dlee4@pacific.edu. Ph.D., Robotics & Intelligent Systems, Clemson University (2009) M.S., Robotics, KwangWoon University (2000) B.S., Electrical and Computer Engineering, KwangWoon University (1992) Lee's research spans autonomous vehicles, solar energy systems, robot ethics, and applied AI. He explores moral conditioning frameworks for robots and develops energy-aware navigation technologies for assistive robotics. Recent publications (2025–2013) cover robotics ethics, control systems, and AI applications. Key areas include wearable navigation aids, UAV stability, and angle-of-arrival estimation. His work integrates nonlinear modeling and adaptive control strategies. No scientific awards mentioned in the provided text. Lee has advised projects on robotic inspection systems and haptic rendering, with grants in intelligent navigation and energy optimization. He served as Guest Editor for the Journal of Energies (2023).

G.C.H.E. de Croonمشاهده پروفایل

پژوهشگر

• Robotics
• Aerospace Engineering
• Autonomous Systems
• +۷ مورد دیگر

G.C.H.E. de Croon is a Senior Researcher in the Control & Simulation group at Delft University of Technology's Faculty of Aerospace Engineering . His work focuses on: Autonomous drone control systems Bioinspired robotics Visual-inertial navigation Neuromorphic computing for UAVs Tilt-rotor aircraft design Swarm robotics Recent publications highlight advancements in flapping-wing robots and neuromorphic attitude estimation. His research combines biological insights with aerospace engineering to solve complex autonomy challenges. Notable scientific recognitions include: NWO Vici Grant (2024) for drone autonomy research Autonomous Drone Racing Championship winner (2025) Multiple best paper awards (2015, 2021) He actively organizes academic events like the International Micro Air Vehicle Conference and has supervised 17 research projects. Media coverage spans AI drone racing breakthroughs (2025), swarming technology (2024), and maritime landing systems (2025 PhD thesis data).

Ehsan Taheriمشاهده پروفایل

دانشیار

• Optimal Control
• Orbital Mechanics
• Optimization

Ehsan Taheri is an Associate Professor in the Department of Aerospace Engineering at Auburn University. His research focuses on optimal control, orbital mechanics, and optimization applied to aerospace systems. His work addresses fundamental challenges in spacecraft trajectory design, guidance systems, and autonomous aerial vehicles. Dr. Taheri received his Ph.D. in Mechanical Engineering from Michigan Technological University, M.S. in Aerospace Engineering from K. N. Toosi University of Technology, and B.S. in Aerospace Engineering from Islamic Azad University. His research integrates control theory with practical aerospace applications, developing novel methods for trajectory optimization of low-thrust spacecraft and autonomous drones. Recent work explores neural network applications for collision avoidance and real-time trajectory planning in unmanned aerial systems. Dr. Taheri's publications demonstrate consistent focus on computational methods for orbital mechanics and control systems, with particular emphasis on fuel optimization, trajectory planning under constraints, and novel applications of Fourier series and neural networks to aerospace problems.

Ella Atkinsمشاهده پروفایل

استاد

• AI-enabled autonomy
• Unmanned Aircraft Systems (UAS)
• Advanced Air Mobility
• +۵ مورد دیگر

Ella Atkins is the Fred D. Durham Chair in Engineering and Department Head of the Kevin T. Crofton Department of Aerospace and Ocean Engineering at Virginia Tech. Previously, she held a Professorship at the University of Michigan’s Aerospace Engineering and Robotics Departments. She earned B.S. and M.S. degrees in Aeronautics & Astronautics from MIT and M.S./Ph.D. in Computer Science & Engineering from the University of Michigan. Her research focuses on AI-driven autonomy and control for aerospace systems, emphasizing resilience and contingency management in manned/unmanned applications, including Advanced Air Mobility and Uncrewed Aircraft Systems (UAS). She is Editor-in-Chief of the AIAA Journal of Aerospace Information Systems and has authored over 250 refereed publications. Her expertise spans aerospace information systems, robotics, and UAS traffic management. Education: Ph.D., 1999, University of Michigan, Computer Science & Engineering M.S., 1995, University of Michigan, Computer Science & Engineering M.S., 1990, MIT, Aeronautics & Astronautics B.S., 1988, MIT, Aeronautics & Astronautics Her articles highlight advancements in UAS trajectory planning, energy efficiency, obstacle detection, and risk-aware autonomy. Awards include the AIAA Intelligent Systems Award (2022) and the University of Michigan Robotics Leadership Award (2020). She has led national initiatives like the NSF National Robotics Initiative (NRI) and contributed to NASA’s Aerial Mobility Blueprint. Her work integrates aerospace engineering with robotics, emphasizing safety and innovation in autonomous systems. Labs/Teams: Autonomous Aerospace Systems Lab (A2Sys)

• Robotics
• Collaborative Robotics
• Safety Assurance
• +۵ مورد دیگر

Dr. James Douthwaite is a Researcher at the University of Sheffield's School of Computer Science, affiliated with the Complex Systems Modelling research group. His work focuses on intelligent sensing and tracking for collaborative robotics tasks, emphasizing safety assurance, digital twinning, and augmented reality applications. He holds a position as a Research Associate, contributing to advancements in human-robot collaboration, cyber-physical systems, and multi-agent systems. His research interests include safety frameworks for robotics, digital twin integration, and collision avoidance algorithms for autonomous systems. He explores methodologies to enhance safety in manufacturing cobots and develops modular frameworks for real-time system testing. His work bridges theoretical control systems with practical applications in robotics and aerospace engineering. Notable contributions include studies on augmented reality-based safety zone visualizations, verified safety controller synthesis, and comparative analyses of velocity obstacle approaches for multi-agent navigation. His research often intersects with industry needs, addressing challenges in autonomous vehicle coordination and industrial automation. Dr. Douthwaite's publications span topics from digital twin-driven testing of cyber-physical systems to symbolic computation for VTOL aircraft autonomy. His work highlights a strong emphasis on validation, verification, and real-world deployability of robotic systems.