Dr. Michael Stelzig serves as a Researcher at the Institute of Microwaves and Photonics (LHFT) within the Department of Electrical-Electronic-Communication Engineering at Friedrich-Alexander University Erlangen-Nuremberg. His work focuses on advanced radar systems for environmental and extraterrestrial exploration. His research spans multiple high-impact domains: Development of ice-penetrating radar systems for glacial exploration UAV-based synthetic aperture radar (SAR) for subsurface imaging Radar signal processing for extraterrestrial applications Novel transponder technologies for radar calibration His recent publications demonstrate leadership in radar technology for both terrestrial glaciology and planetary science applications, particularly in Saturn's moon Enceladus exploration. His scientific contributions include: Design of hybrid radar-sonar systems for melting probes Lightweight radar platforms for glacial subsurface imaging Joint radar-communication waveform innovations Drone-based UHF-VHF radar systems for snow stratification analysis Stelzig's technical expertise bridges microwave engineering, signal processing, and field applications in extreme environments. His collaborative work with institutions like DLR (German Aerospace Center) highlights interdisciplinary approaches to complex exploration challenges.
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Professor Pavel Trivailo is a prominent academic and researcher in aerospace engineering at RMIT University's School of Aerospace, Mechanical & Manufacturing Engineering (SAMME). He holds a professorial position and has been with RMIT since 2003. His research focuses on aerospace systems, control systems, structural health monitoring, and AI applications in robotics. Trivailo has led significant projects such as DSTO Australia/DARPA collaborations, securing grants like the ARC Discovery Grant for tether-based payload systems. He is an editor for the International Journal on Inverse Problems in Science & Engineering and has represented RMIT at major events like the Avalon Airshows. His research spans advanced topics including space debris capture with tether-nets, spacecraft attitude control via inertial morphing, and EEG-based brain-computer interfaces. He has supervised over 33 postgraduate students and is recognized for excellence in supervision (RMIT PhD Supervisor of the Year, 2000). Trivailo's work integrates theoretical and experimental approaches, with contributions to robotics, biomedical engineering, and applied mathematics. His recent projects include AI-driven drone simulations against directed energy weapons and satellite formation control for object avoidance.
Fariba Moghaddam is an Ordinary Professor and Head of the Power & Control Orientation at the University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis). She specializes in renewable energy systems, control engineering, and remote laboratory technologies. Her work focuses on optimizing solar energy systems, particularly photovoltaic and photovoltaic-thermal (PVT) setups, using advanced control algorithms like Model Predictive Control (MPC) and machine learning. She leads multiple international projects, including the Solar Energy Optimization project and Sustainable Laboratories initiative, promoting sustainable energy and resource sharing in the Global South. Her research integrates real-time data acquisition, IoT, and digital twins for remote experimentation and infrastructure collaboration. Notable projects include developing a remote research platform for solar tracking systems and creating Massive Open Online Laboratories (MOOLs) to enhance global access to engineering education. She has contributed to over 10 peer-reviewed publications, emphasizing solar panel modeling, control systems, and educational technology. Key collaborations include partnerships with institutions in Iran, Lebanon, Niger, and Djibouti, aiming to bridge the digital gap in education and research. Her work aligns with UN Sustainable Development Goals (SDGs) related to clean energy, innovation, and global equity.
- Computer Vision
- Robotics
- Visual Servoing
- +۴ مورد دیگر
Christophe Collewet is a researcher affiliated with University of Rennes 1, currently on secondment to the National Institute for Research in Computer Science and Automation (INRIA) within the Lagadic project in Rennes since 2005. He holds a Doctorate in Signal Processing and Telecommunications from University of Rennes 1. His primary research interests include Computer Vision, Robotics, Visual Servoing, Fluid Dynamics Control, and Signal Processing. Dr. Collewet has made significant contributions to the field of visual servoing for robotic systems and its application to fluid flow control. His work bridges computer vision techniques with practical control systems for both robotics and fluid dynamics applications. Analysis of his recent publications reveals a strong focus on applying computer vision techniques to fluid dynamics control problems, particularly in shear flow and Poiseuille flow systems. His research demonstrates the innovative application of visual servoing methods to traditionally non-visual control problems, creating interdisciplinary connections between robotics and fluid mechanics. Throughout his career, Dr. Collewet has collaborated extensively with researchers at INRIA and University of Rennes 1, contributing to numerous projects in computer vision-based control systems for both robotic manipulation and fluid dynamics applications. His laboratory work has primarily been conducted within the Lagadic project at INRIA Rennes, focusing on developing vision-based control systems for various applications ranging from robotic milking systems to advanced fluid flow control mechanisms.
Afzal Chamrooمشاهده پروفایل
دانشیار
Afzal Chamroo serves as an Associate Professor in the Department of Automatic Control and Systems at the School of Engineering (ENSIP), University of Poitiers, France. He is actively affiliated with the LIAS laboratory (Laboratoire d'Informatique et d'Automatique pour les Systèmes), maintaining research sites at both ENSIP in Poitiers and ISAE-ENSMA in Chasseneuil. His academic foundation includes a 2006 PhD in Automatic Control and Robotics from Université des Sciences et Technologie de Lille - Lille I, with doctoral research focused on Piecewise Continuous Systems for online identification and real-time control applications. Chamroo's research program centers on advanced control methodologies, particularly piecewise continuous control systems, vision-based robotics, and industrial process applications. His work demonstrates consistent innovation in nonlinear system stabilization, trajectory tracking for underactuated mechanisms, and real-time monitoring solutions for critical infrastructure. Key application domains include power grid stability, induction motor fault detection, hydrogeological modeling, and thermal system control. Publication trends reveal an evolution from foundational work on piecewise control in bioprocesses (2008) and robotic systems (2009-2010) toward contemporary challenges in industrial load monitoring (2024), power grid frequency analysis (2023), and physics-informed machine learning for fault detection (2022). His research maintains strong industry relevance through collaborations with power systems and manufacturing sectors. Within LIAS, Chamroo contributes to the Automatic Control team's mission of advancing real-time control theory and implementation. The laboratory's collaborative structure enables cross-disciplinary work spanning data engineering, real-time systems development, and industrial project deployment, providing robust infrastructure for his ongoing research in control systems engineering.
Leonard Felicettiمشاهده پروفایل
مدرس ارشد
Dr. Leonard Felicetti is a Senior Lecturer in Space Engineering at Cranfield University, UK, where he leads research and teaching in guidance, navigation, and control (GNC) of space systems. Previously, he held positions at Luleå University of Technology (2015–2018) and the University of Glasgow (2015). He holds a Ph.D. in Space Systems from Sapienza University of Rome (2013) and an M.Sc. in Aerospace Engineering (2008). His research focuses on spacecraft control systems, space robotics, and space debris surveillance. Key areas include orbital/attitude control, formation flying, reusable launch vehicle landing, and optical sensor constellations for debris tracking. He has pioneered the OnOrbitROS framework for space robotics simulations, integrating ROS/Gazebo for realistic orbital conditions. Notable contributions include: Design of model predictive control strategies for reusable launchers Development of visual servoing algorithms for on-orbit robotics Optimization of Martian aerobot configurations Debris removal mission concepts for mega-constellations He has authored over 50 peer-reviewed articles and serves as a reviewer for journals like Acta Astronautica and the Journal of Guidance, Control, and Dynamics. His work bridges theoretical control systems with practical space mission applications.
Richard J. Radke is a Full Professor in the Department of Electrical, Computer, and Systems Engineering at Rensselaer Polytechnic Institute (RPI). He holds a B.A./M.A. in Computational and Applied Mathematics from Rice University and M.A./Ph.D. in Electrical Engineering from Princeton University. His research focuses on computer vision, human-scale occupant-aware environments, smart lighting systems, and medical imaging applications. He is affiliated with the NSF Engineering Research Center for Lighting Enabled Systems and Applications (LESA), DHS Center of Excellence ALERT, and Rensselaer's Cognitive and Immersive Systems Laboratory (CISL). Radke's work includes designing systems for group meeting facilitation, video analytics in camera networks, and LiDAR integration. He has received the NSF CAREER Award (2003) and the IEEE Signal Processing Society Regional Distinguished Teacher Award (2023). His textbook Computer Vision for Visual Effects (Cambridge University Press, 2012) bridges academic research and Hollywood visual effects. He advises numerous graduate students and collaborates on projects such as the Rensselaer Augmented and Virtual Environment (RAVE) lab. His research also involves medical applications like IMRT treatment planning optimization and robotics for manufacturing. Radke teaches courses on signal processing, image processing, and computational creativity, emphasizing video lectures and interactive learning tools. Education: B.A./M.A., Computational and Applied Mathematics, Rice University M.A./Ph.D., Electrical Engineering, Princeton University His research labs and initiatives include the Smart Conference Room for occupancy-aware lighting and the CRAIVE-Lab for immersive environments. He has authored over 100 publications and patents in vision, robotics, and medical imaging.
Carlos Rossaمشاهده پروفایل
دانشیار
Carlos Rossa is an Associate Professor at Carleton University's Faculty of Engineering and Design. His research focuses on medical robotics, autonomous systems, and human-robot interaction, with key contributions in robot-assisted surgery, haptic feedback systems, and image-guided interventions. He holds a Ph.D. from Sorbonne Université (UPMC) and has extensive experience in developing innovative surgical tools and training simulations. Education: Ph.D. in Engineering, Sorbonne Université (UPMC) Research Interests: Medical Robotics & Needle Steering Robot-Assisted Surgery & Imaging Haptic Feedback Systems Ultrasound & Bioimpedance Imaging Autonomous Surgical Systems His work bridges robotics, computer science, and biomedical engineering to address challenges in minimally invasive surgery and rehabilitation. Recent Work: Recent publications emphasize advancements in needle tracking algorithms, real-time tissue classification via dielectric spectroscopy, and Doppler-based motion estimation for autonomous systems. These studies highlight trends in integrating AI-driven sensor fusion and multi-modal imaging for surgical precision. Awards & Recognition: Notable contributions in IEEE journals/conferences on medical robotics. Advising & Labs: Focuses on graduate student mentorship in robotics and biomedical engineering. Labs: Medical Robotics & Surgical Simulation Lab (MRSSL) at Carleton University.
Chao Shenمشاهده پروفایل
استادیار
Dr. Chao Shen is an Assistant Professor at the Department of Systems and Computer Engineering, Carleton University, within the Faculty of Engineering and Design. His research focuses on control theory, machine learning, and optimization applied to robotics systems, autonomous underwater vehicles (AUVs), and intelligent control of mechatronic systems. He leads the Robotics Control and Optimization Laboratory and has supervised multiple capstone projects, including a winning team in the 2022 departmental competition. Dr. Shen holds a PhD from the University of Victoria. He has been appointed as a Technical Editor for IEEE/ASME Transactions on Mechatronics (2023) and Associate Editor for IEEE Canadian Journal of Electrical and Computer Engineering (2022). He also served as Technical Program Chair for the 2022 IEEE Electrical Power and Energy Conference. His research interests include perception and navigation for robotics, cooperative control of multi-agent systems, and distributed model predictive control (MPC) for large-scale systems. Notable contributions include a recently published Springer book on 'Advanced Model Predictive Control for Autonomous Marine Vehicles' (2023) and award-winning work funded by NSERC Discovery Grants. Dr. Shen actively mentors graduate and undergraduate students in topics like robust MPC for visual servoing, UAV coordination, and energy-optimal control strategies. His lab offers funded PhD and MASc positions focusing on control theory applications in robotics and autonomous systems.
Srikanth Saripalli is Professor and Director of the Center for Autonomous Vehicles and Sensor Systems at Texas A&M. His research develops autonomous navigation systems for UAVs and ground vehicles, specializing in vision-based control, sensor calibration, and path planning algorithms for GPS-denied environments.
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.
Rita Cunhaمشاهده پروفایل
دانشیار
- Robotics
- Control Systems
- Aerial Vehicles
- +۳ مورد دیگر
Rita Cunha is an Associate Professor at the Institute of Systems and Robotics (ISR) within the University of Lisbon. Her academic role includes teaching courses such as Introduction to Robotics, Signals and Systems, and Control Engineering. Her research focuses on advanced robotics and control systems, with particular emphasis on multirotor drones, formation control, trajectory planning, and autonomous systems. She has contributed significantly to the development of control strategies for unmanned aerial vehicles (UAVs), sensor-based navigation, and distributed multi-agent systems. Her work integrates theoretical control methodologies with practical applications, addressing challenges in aggressive drone maneuvers, collision avoidance, and sensor network deployment for wildfire surveillance. She leads research in collaborative robotics, including multi-drone cinematography and cooperative load transportation systems. Her contributions span both algorithm design and experimental validation, leveraging tools like the Pegasus simulator and physics-informed neural networks. Key Research Areas: Autonomous Systems, Aerial Robotics, Formation Control, Trajectory Optimization, Sensor Networks Teaching: Introduction to Robotics, Control Systems, Signals and Systems Labs/Teams: ISR (Institute of Systems and Robotics) - active in UAV control and autonomous systems research Her over 50 publications since 2013 demonstrate sustained innovation in robotics control, with recent emphasis on high-order consensus algorithms, adaptive control under uncertainties, and real-time trajectory generation for confined spaces. Current projects include LiDAR-based autonomous inspection systems and distributed mission execution frameworks for aerial cinematography.
Mostafa Shokrian Zeini is a researcher at the Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB) , specializing in the Agromechatronics Department . His work bridges control theory, robotics, and agricultural technology, with a focus on Model-in-the-Loop (MIL) , Software-in-the-Loop (SIL) , and Hardware-in-the-Loop (HIL) systems. Research Interests: Agricultural Robotics Visual Servoing Nonlinear Control Synthesis Uncertain Complex Systems Recent Projects: foodChain – 5G integration in the Golßen-Mittenwalde-Schönefeld region Development of robotic harvesting systems for sweet peppers, apples, and blueberries Review of field robots for potato cultivation Collaborations: 43rd GIL Annual Conference Joint work with institutions like Shiraz University of Technology and Hamedan University of Technology
Houari Bettaharمشاهده پروفایل
پژوهشگر ارشد
- Robotics
- Micromanipulation
- Biomedical Engineering
- +۲ مورد دیگر
Houari Bettahar serves as an Academy Research Fellow at Aalto University within the School of Electrical Engineering and Department of Electrical Engineering and Automation. His research profile is hosted by Aalto University, with contact details including email houari.bettahar@aalto.fi and phone +358504440301. Dr. Bettahar's research spans Robotics, Micromanipulation, and Biomedical Engineering , focusing on precision manipulation at micro/nano scales. Key areas include: Development of robotic systems for fiber fabrication and cell adhesion studies Creation of low-cost platforms like FilMBot for high-speed micromanipulation Integration of AI and computer vision for robotic control optimization Electromagnetic manipulation of particles for biomechanical analysis Biomimetic approaches to material property enhancement Analysis of his 15 most recent publications (2020-2025) reveals a dominant focus on robotic micromanipulation applied to fiber-based systems and biological interactions. His work consistently integrates electromagnetic actuation , soft robotics , and Bayesian optimization to solve challenges in material science and biomedical engineering, with notable emphasis on cost-effective instrumentation and real-time force control. No scientific awards were mentioned in the provided text. Information regarding student advising and research grants was not found in the provided materials. Dr. Bettahar is affiliated with the Robotic Instruments research group at Aalto University, which specializes in developing robotic solutions for microscale manipulation challenges across biomedical and industrial applications.
- Active Vision
- Surveillance Systems
- Visual Tracking
- +۹ مورد دیگر
Eric Sommerlade is a Post-Doctoral Research Assistant in the Active Vision Group at the University of Oxford Engineering Department . He completed his DPhil in Engineering Science in 2011, focusing on surveillance with active cameras , and previously earned a Diploma in Electrical Engineering from the Technical University of Hamburg. Education : DPhil in Engineering Science (2011), University of Oxford; Diploma in Electrical Engineering, Technical University of Hamburg His research centers on active vision systems for surveillance, particularly visual tracking , camera control algorithms , and information-theoretic approaches to sensor planning. Key themes include multi-camera coordination , trajectory prediction , and real-time SLAM for surveillance simplification. Eric has contributed to 15 publications (2008–2012) spanning conferences like ICRA, CVPR, IROS, and BMVC, with a focus on surveillance systems , visual tracking , adaptive control , and information theory . His work includes probabilistic multi-camera surveillance, cognitive active vision, and entropy-driven exploration strategies. He received funding for his DPhil through the EC grant IST-027110 for the HERMES project under the EU's Sixth Framework Programme. He has collaborated with researchers such as Professor Ian Reid, Ben Benfold, and Nicola Bellotto. Eric has also engaged in teaching activities , including demonstrating Electrical Machines, Computing Labs, and C++ coursework modules. His professional contributions extend to peer reviewing for leading conferences and journals.