جست‌وجوی استاد و پژوهشگر

• Control Engineering
• Robotics
• Mechatronics
• +۳ مورد دیگر

Stephen Mascaro is an Associate Professor (Lecturer) in the Department of Mechanical Engineering at the University of Utah, where he has served since 2005. He currently holds the role of Director of Robotics Studies, effective January 2024. His academic journey includes degrees from Clarkson University (BS in Mechanical Engineering and BA in Physics, 1995), and advanced degrees from MIT (MS 1997, PhD 2002 in Mechanical Engineering). His research focuses on control engineering, mechatronics, robotics, and sensor systems. Notable contributions include fingernail imaging for tactile force sensing, robotic tendon modeling, and biomimetic actuators. He has secured grants such as the NRI-Small grant for grasp force research. His work bridges robotics, biomedical engineering, and haptics, with applications in surgical robotics, human-robot interaction, and sensor development. Mascaro teaches courses in Mechatronics and System Dynamics, emphasizing hands-on learning. He actively mentors FIRST Robotics teams and engages in community outreach, including mentoring high school robotics competitions. His awards include the 2024 Top 15% Instructor Award from the University of Utah. His lab develops innovative sensors and robotic systems, integrating principles from biomechanics and materials science. Current projects include real-time tactile sensing via deep learning and robotic tendon repair simulation. His work is published in IEEE Transactions, Journal of Dynamic Systems, and other leading journals, with over 40 peer-reviewed articles since 1998.

Ashwin Daniمشاهده پروفایل

دانشیار

• Robotics
• Autonomous Navigation
• Estimation and Control Theory
• +۵ مورد دیگر

Ashwin Dani is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Connecticut, affiliated with the School of Engineering. His research focuses on robotics, control systems, and autonomous navigation, with applications in manufacturing, biomedical engineering, and environmental monitoring. He holds a Ph.D. in Mechanical and Aerospace Engineering from the University of Florida (2011) and a B.S. in Mechanical Engineering from the University of Pune, India (2005). Prior to his faculty role, he served as a Post-doctoral Research Associate at the University of Illinois at Urbana-Champaign (2011–2013). His research interests span estimation theory, autonomous systems navigation, human-robot collaboration safety, sensor fusion, and neuro-prosthesis control. Notable contributions include advancements in vision-based control, GPS-denied navigation for UAVs, and adaptive control algorithms with safety guarantees. He leads the Robotics & Controls Lab, which develops solutions for industrial automation and assistive robotics. Dr. Dani has been awarded the Innovator’s Invention Award from the University of Florida for his work on nonlinear dynamic estimation. His research has produced patents on structure-motion estimation and over 50 peer-reviewed publications in top journals like IEEE Transactions on Automatic Control and Journal of Field Robotics. He actively explores intersections between machine learning and control theory to enhance system safety and adaptability in dynamic environments. His academic contributions include pioneering work on concurrent learning observers for depth estimation and developing probabilistic frameworks for human intent prediction in collaborative tasks. Ongoing projects focus on safe human-robot interaction protocols, deformable object manipulation, and real-time adaptive control systems for uncertain environments.

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

Petar Trslić is an Assistant Professor at the University of Limerick's School of Engineering, affiliated with the Centre for Robotics and Intelligent Systems. His research focuses on advanced robotics, autonomous systems, and sensor fusion technologies, with applications in maritime operations, wildlife monitoring, and infrastructure inspection. Key technical areas include Unmanned Aerial Vehicles (UAVs), Remotely Operated Vehicles (ROVs), path planning algorithms, and LiDAR-based systems. His work contributes to UN Sustainable Development Goals related to innovation and infrastructure, climate action, and sustainable energy. Trslić has collaborated internationally on projects involving cooperative robotic systems, multi-sensor fusion for state estimation, and autonomous vehicle coordination in challenging environments. His recent publications highlight innovations in UAV wildlife surveillance, maritime robotics for offshore wind farms, and automated infrastructure inspection using 3D reconstruction. He has secured research funding for initiatives in autonomous underwater robotics and has developed novel algorithms for robotic docking and navigation under dynamic conditions. Trslić's lab emphasizes practical solutions for industrial automation challenges and environmental monitoring through interdisciplinary approaches.

• Multi-Agent Systems
• Control Systems
• Robotics
• +۴ مورد دیگر

Zhiqi Tang is a Digital Futures Postdoctoral Fellow at KTH Royal Institute of Technology's Division of Decision and Control Systems (EECS Department), supervised by Professors Jonas Mårtensson and Karl Henrik Johansson. She previously held positions as a postdoctoral researcher at Instituto Superior Técnico (IST) in Portugal and as an Invited Assistant Professor in their Department of Electrical and Computer Engineering. She holds a double Ph.D. in Automatic Control and Robotics from IST and I3S-CNRS (Université Côte d'Azur), receiving the EDSTIC Ph.D. thesis prize, and a B.S. in Electrical and Computer Engineering from the University of Macau (2015). Her research focuses on estimation, control, and decision-making in multi-agent systems, with applications in Robotics and Transportation Systems. Key areas include cooperative estimation, networked systems, nonlinear dynamics, and formation control. She teaches the Nonlinear Control (EL2620) course at KTH. Her recent work emphasizes safe platooning for autonomous vehicles, collision avoidance in UAV formations, and distributed localization under dynamic conditions. Notable contributions include barrier function-based control for CAVs and bearing-rigidity theory for multi-agent coordination. Her research bridges theoretical control frameworks with practical implementations in robotics and transportation. Awards: EDSTIC Ph.D. thesis prize (2021) Grants/Advising: Supervises postdoctoral and doctoral research in multi-agent systems Labs/Teams: Involved with KTH's Decision and Control Systems group and IST's Institute for Systems and Robotics

• Solar Energy Optimization
• Control Systems
• Remote Laboratories
• +۷ مورد دیگر

Fariba Moghaddam is an Ordinary Professor at HES-SO Valais-Wallis - Haute Ecole d'Ingénierie, leading the Power & Control orientation under the Institut Systèmes industriels. She specializes in renewable energy systems, control engineering, and educational technology, with a focus on solar energy optimization, remote laboratories, and sustainable development initiatives in the Global South. Her work spans academic leadership, research, and pedagogical innovation. Education: PhD in Control Engineering from École Polytechnique Fédérale de Lausanne (EPFL), 1996. Additional academic background in electrical and mechanical engineering. Research Interests: Solar tracking systems, photovoltaic-thermal (PVT) integration, machine learning applications in energy systems, remote experimentation platforms, and collaborative educational infrastructure. Recent projects include the Solar Energy Optimization via Remote Platforms and DEAR MENA (Digital Education & Research for MENA). Grants & Projects: Solar Energy Optimization (2022-2026): Swiss National Science Foundation-funded project developing cost-effective sun tracking solutions. DEAR MENA (2019-2024): Cluster fostering digital education partnerships between Swiss and MENA institutions. Sustainable Laboratories (2020-2021): Platform for redistributing lab equipment to emerging economies. MOOLs (2018-2021): Massive Open Online Laboratories for global engineering education. Labs & Infrastructure: Spearheaded the Remote Real-Time Research Platform for control engineering, enabling global access to lab equipment via secure web interfaces. Collaborates on IoT-integrated systems for remote experimentation and industrial automation. Awards: None explicitly listed, but recognized for contributions to sustainable energy and educational equity through numerous funded projects.

• Dynamical Systems
• Control Theory
• Machine Learning
• +۳ مورد دیگر

Mario Sinani is a Researcher and Teaching Assistant in the Department of Aeronautics at Imperial College London's Faculty of Engineering. His research focuses on dynamical systems, control theory, and machine learning applied to nonlinear systems and fluid-solid interactions. He develops data-driven models for nonlinear control of flexible structures interacting with fluid flows under supervision of Dr. Andrew Wynn (Flow Control Group) and Prof. Rafael Palacios (Load Control and Aeroelastics Lab). Education includes a PhD in Data-Driven Modelling and Nonlinear Control from Imperial College London, and MSc/BSc in Mechanical Engineering with a focus on Control Theory and Robotics from National Technical University of Athens. Prior to Imperial, he worked at CERN on particle detector technologies and as an R&D engineer in Zurich developing dynamic light control systems. Teaching responsibilities include Control Systems for MSc students, Flight Dynamics and Control for MEng Aeronautical Engineering, and Applied Aerodynamics courses. His research integrates advanced mathematical analysis with cutting-edge machine learning techniques to address complex fluid-structure interaction challenges in aerospace systems.

• Microengineering
• MEMS (Micro-Electro-Mechanical Systems)
• Optical Devices
• +۵ مورد دیگر

Professor Eric Yeatman is a Professor of Microengineering at Imperial College London's Department of Electrical and Electronic Engineering, leading the department since 2015. His affiliations include the Hamlyn Centre for Robotic Surgery, the Data Science Institute, and the Energy Futures Lab. He specializes in microengineering, MEMS, energy harvesting, and medical robotics, with over 250 publications and patents. A Fellow of the Royal Academy of Engineering, IEEE, and IET, he received the Royal Academy of Engineering Silver Medal in 2011. Co-founder and Chair of Imperial-X, he also served as CEO and Chairman of Microsaic Systems, developing miniature mass spectrometers. His research bridges microelectronics and healthcare, focusing on energy-autonomous systems, tactile sensing, and minimally invasive surgical tools. Projects include thermally drawn fibers for medical catheters and AI-driven bionic systems. Over £25M in research funding has supported collaborations with industry and academic partners. Education: Details not specified in text. Awards: Royal Academy Silver Medal (2011), multiple fellowships. Grants: Principal investigator on 30+ projects with £25M funding. Labs: Hamlyn Centre, Energy Futures Lab, Space Lab.

Matteo-Claudio Palpacelliمشاهده پروفایل

دانشیار

• Robotics
• Mechatronics
• Applied Mechanics
• +۱۲ مورد دیگر

Matteo-Claudio Palpacelli is an Associate Professor in the Department of Industrial Engineering and Mathematical Sciences at the Polytechnic University of Marche, where he has been a faculty member since 2019, following his role as a researcher from 2008 to 2019. He teaches Applied Mechanics to Machines at the Bachelor's level and Functional Design at the Master's level, both at the Ancona campus. Bachelor of Science in Mechanical Engineering, Polytechnic University of Marche, 2004 PhD in Artificial Intelligence Systems in Information, Management, and Industrial Engineering, Polytechnic University of Marche, 2008 His research lies at the intersection of Robotics, Mechatronics, and Applied Mechanics , with a strong emphasis on parallel kinematic machines , collaborative robotics , reconfigurable robots , robotic microassembly , and visual servoing . He has advanced expertise in biomechanics and rehabilitation robotics through a collaboration with King’s College London. His work also extends to multibody system dynamics and compliant mechanisms. Palpacelli has contributed to national PRIN projects in bioengineering and miniaturized robotics, as well as European projects in the textile sector. The recent publications (2021–2024) highlight a consistent focus on collaborative robotics, optimization of robotic motion, compliant mechanisms, and industrial automation. There is a clear trend toward integrating AI and machine learning in robotic polishing and defect detection, while maintaining a strong foundation in kinematic analysis, control strategies, and mechanical design. Topics such as collision avoidance, inverse kinematics of non-spherical wrist robots, and flexure hinge modeling reflect both theoretical and applied contributions. His scientific contributions are recognized through over 60 Scopus-indexed publications and two patents. While no specific awards are mentioned in the text, his leadership in research projects and international collaborations underscores his academic impact. He actively supervises PhD students, including Albin Bajrami, Federico Emiliani, and others, and collaborates closely with colleagues such as Massimo Callegari and Luca Carbonari. He is involved in the i-LABS research initiative, focusing on human-robot collaboration and industrial case studies. His research group is engaged in both fundamental and applied projects, bridging academia and industry.

• Robotics
• Control Systems
• Visual Servoing
• +۳ مورد دیگر

Pau Muñoz Benavent is an academic researcher affiliated with the Universitat Politècnica de València, where he earned his PhD and served as an Ayudante Doctor in the Department of Electronic Engineering. His work focuses on robotics and control systems, particularly in the domain of visual servoing. His research interests include: Robotics Control Systems Visual Servoing Electronics Discontinuous Control Automation The available data does not include recent publications, preventing analysis of article trends. No scientific awards or recognitions are listed in the provided content. There is no information available about student supervision, research grants, or collaborative projects. No details about laboratories or research teams are mentioned.

• Multibody System Dynamics
• Flexible Multibody Systems
• Underactuated Mechanical Systems
• +۱۲ مورد دیگر

Prof. Dr.-Ing. Robert Seifried is a Full Professor and Chair for Structural Mechanics at the Institute of Mechanics and Ocean Engineering , Hamburg University of Technology (TUHH) . He also serves as the Dean of the School of Multidisciplinary Engineering Science and Technologies since 2019. His leadership roles include Head of FIT, Head of AIW, Head of Engineering Science, and Head of Theoretical Mechanical Engineering. He is actively involved in research, teaching, and academic administration. PhD in Mechanical Engineering, University of Stuttgart (2005) Habilitation in Applied Mechanics, University of Stuttgart (2012) Postdoctoral research at UC Berkeley (2006–2007) Assistant Professor at University of Stuttgart (2008–2013) Full Professor at University of Siegen (2013–2014) Full Professor at TUHH (since 2014) Prof. Seifried’s research centers on multibody system dynamics , with a strong emphasis on underactuated and flexible systems . His work spans soft robotics , particle dampers , topology optimization , and ocean engineering . He investigates advanced control strategies such as funnel control, servo constraints, and stable inversion, particularly for systems with nonlinearities and impacts. His research integrates computational modeling (e.g., isogeometric analysis, adjoint sensitivity) with experimental validation in areas like wave energy converters and underwater robotics. The recent publications highlight a trend toward interdisciplinary robotics and smart ocean technologies . Key themes include soft robot control and sensing , particle damping for vibration suppression , topology optimization under uncertainty , and modeling of nonlinear ocean waves . These works demonstrate a consistent focus on enhancing system performance, robustness, and energy efficiency through advanced simulation and control. Lead investigator in multiple research projects on multibody dynamics and ocean systems Advisor to numerous PhD and Master’s students in robotics and mechanics Developer of simulation tools like Dynmanto for multibody systems Recipient of research funding for projects in soft robotics, wave energy, and vehicle dynamics Prof. Seifried leads a dynamic research group focused on mechanics and marine engineering . His team develops novel solutions for soft and underwater robots , hybrid particle dampers , and optimized marine structures . The group combines theoretical modeling, numerical simulation, and experimental testing, often in collaboration with industry and international institutions. Their work supports future advancements in autonomous marine systems, resilient infrastructure, and energy harvesting technologies.

Nasser Asgariمشاهده پروفایل

مدرس ارشد

• Robotics
• Embedded Systems
• Computer Vision
• +۳ مورد دیگر

Nasser Asgari is a Senior Lecturer in the College of Science and Engineering at Flinders University, Australia. He holds adjunct roles in the Medical Device Research Institute and serves as Teaching Program Director (TPD) for Engineering and Design. His key responsibilities include coordinating Electrical & Electronic Engineering and Robotics Engineering programs. Dr. Asgari's academic background includes a PhD in Computer Engineering from the University of Adelaide, an MSc in Communication Systems Engineering, and a BSc in Electronic Engineering. His research focuses on robotics, embedded systems, and computer vision applications in assistive technologies and disaster response. Specific interests include interprocessor communication, mobile robot navigation, and people detection using thermal/color cameras. His work spans multidisciplinary projects such as designing rescue robots with real-time vision systems and developing algorithms for thermal image analysis in disaster zones. He has published in journals like the International Journal of Mechanical Engineering and Robotics Research, and authored books on robotics applications. Teaching responsibilities include coordinating topics like ENGR2712 (Automation & Industrial Control), ENGR7851 (Advanced Electronic Design), and ENGR3771 (Robotic Systems). He actively contributes to curriculum development in cyber-physical systems, sensors/actuators, and advanced robotic systems.

• Robotics
• Intelligent Systems
• Underwater Robotics
• +۳ مورد دیگر

Anthony Weir is a researcher at the Department of Electronics & Computer Engineering, University of Limerick, affiliated with the Centre for Robotics and Intelligent Systems. His work focuses on underwater robotics, control systems, and marine engineering applications. Role: Researcher Institution: University of Limerick Department: Electronics & Computer Engineering Research Interests: Specializing in Remotely Operated Vehicles (ROVs) and autonomous underwater systems , his research addresses challenges in offshore wind farm inspection, ship hull repair, and robotic manipulation. Key technologies include visual servoing , inverse kinematics , and friction stir welding . Recent Publication Trends (2023-2024): Recent work demonstrates advancements in autonomous visual inspection , path planning algorithms , and underwater repair systems . Collaborative projects with engineers like Santos, Omerdic, and Toal highlight applications in offshore wind turbines and damaged ship hulls. Collaborations: Active collaborations span marine robotics, control systems, and renewable energy engineering, with frequent contributions to IEEE-conference proceedings and journals like IEEE Access and Journal of Intelligent and Robotic Systems .

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

Ahmet Talha Çetin is a Researcher at the Aviation Institute of Istanbul Technical University . His work focuses on aerospace engineering, robotics, and control systems, particularly in applications involving drones, quadrotors, and satellite attitude control. He has contributed to both theoretical advancements in optimal control algorithms and practical implementations of multi-drone systems and guidance strategies. Primary Affiliation: Istanbul Technical University, Aviation Institute Research Area: Control Systems, Trajectory Optimization, Autonomous Systems Research Interests : Çetin's research spans aerospace engineering and robotics, with a focus on drone navigation , stochastic optimal control , and attitude control systems . His work addresses challenges in autonomous guidance, uncertainty minimization, and multi-drone coordination. He applies mathematical frameworks like entropy minimization and model predictive control to real-world problems in aviation and telecommunications. Publication Trends : Over 2023-2025, Çetin's research output demonstrates a strong emphasis on drone engineering , quadrotor dynamics , and control optimization . His contributions include both theoretical advancements in non-Gaussian uncertainty handling and practical implementations like cold gas thruster systems for satellites. Collaborations with researchers like E. Koyuncu and İ. Özkol are prominent across his publications. Advising & Collaborations : No explicit student advising information is available. He collaborates extensively with Istanbul Technical University's aerospace engineering team on projects involving drone systems, satellite control, and network virtualization technologies.

• Robotics
• Control Systems
• Embedded Systems
• +۴ مورد دیگر

Paul Oh, Ph.D., is affiliated with Columbia University's Mechanical Engineering department and collaborates with the Computer Science department. His research focuses on robotics, particularly in visually servoed systems, and involves expertise in embedded microcontrollers, control systems, digital data acquisition, electronics, and programming. Research Interests include robotics, control systems design, and embedded systems development. His work bridges mechanical engineering and computer science, emphasizing hardware-software integration for motor control and sensor interfaces. For further details about his research, consulting, and Columbia Robotics initiatives, visit his Research Page or Columbia Robotics Page .

Christian Tranholm Novrupمشاهده پروفایل

پژوهشگر

• State Estimation
• Kalman Filter
• Deep Learning
• +۳ مورد دیگر

Christian Tranholm Novrup is a Researcher at the AAU Energy Section within the Faculty of Engineering and Science at Aalborg University , Denmark. His work focuses on state estimation techniques and noise modeling in robotic systems, particularly leveraging deep learning approaches for visual servoing applications. Current research emphasizes Kalman filter optimization and detection loss compensation in DNN-based control systems Active in engineering and data-driven robotics research domains His recent publication at the International Conference on Control, Mechatronics and Automation (2023) demonstrates application of neural networks to visual servoing state estimation problems.