جستجوی استاد راهنمای دانشگاهی

Andrew Lammasمشاهده پروفایل

مدرس

• Robotics
• Autonomous Systems
• Electrical and Electronic Engineering
• +۱۷ مورد دیگر

Andrew Lammas is a Lecturer in Electrical and Electronic Engineering at Flinders University, within the College of Science and Engineering and affiliated with the Centre for Defence Engineering Research and Training. He holds a PhD and Bachelor of Engineering from Flinders University and has been actively contributing to research and teaching since 2023. His work spans robotics, control systems, machine learning, and renewable energy systems. Education: Bachelor of Engineering (Computer Systems), Flinders University, 2004 Doctor of Philosophy (Engineering), Flinders University, 2012 His research interests include robot localisation, control, state estimation, sensor fusion, battery management, and renewable energy systems. He has developed expertise in Bayesian filtering, Kalman and particle filters, digital twins, and hydrodynamic modeling. His teaching responsibilities include coordination and lecturing in Electronic Circuits and Estimation & Machine Learning. The most recent research articles highlight a strong focus on autonomous underwater vehicles, digital twins for defence applications, sim-to-real transfer in control systems, and condition-based maintenance using hybrid neural-physical models. These works reflect a consistent trajectory in intelligent robotic systems, adaptive control, and real-world deployment of AI in engineering contexts. Scientific Awards: No awards explicitly mentioned. Andrew Lammas supervises Honours, Master’s, and PhD students, with registered interests in robot planning, battery management, sensor processing, and control of robotic platforms. He has led industry and defence-affiliated research projects, including multiple technical reports for the Department of Defence. He is also involved in community outreach, such as regional roadshows and Science Alive events, promoting engineering and robotics. He is actively involved in the RobotX Maritime Robotics Competition and contributes to curriculum development in electrical and electronic engineering. His research aligns with UN Sustainable Development Goals in renewable energy and sustainable infrastructure.

Miguel A. Nunesمشاهده پروفایل

پژوهشگر

• Small Satellites
• CubeSats
• Multi-Agent Robotic Systems
• +۷ مورد دیگر

Miguel A. Nunes serves as Assistant Researcher and Deputy Director at the Hawaiʻi Space Flight Laboratory (HSFL) within the University of Hawaiʻi at Mānoa's College of Engineering. Specializing in small satellite design and multi-agent robotic systems , he leads systems engineering for missions like Neutron-1 and HyTI, while teaching space systems design in programs including the Vertical Integrated Project Aerospace Technologies and Earth and Planetary Exploration Technology (EPET) capstone courses. PhD in Aerospace Engineering (2010) focusing on autonomous satellite swarm control Developed COSMOS mission operations system for managing multiple spacecraft Key work in thermal control systems for hyperspectral imagers and satellite constellations His 10+ years of subsystem expertise spans ADCS, OBC, flight software, and radio communications. Recent publications highlight advancements in T2SL detector arrays and active thermal management for CubeSats. As Deputy-PI for HyTI mission, he contributes to volcanic monitoring and agricultural sensing applications through high-resolution thermal imaging. Research trends show consistent focus on distributed satellite systems and autonomous operations , transitioning from foundational work on multi-agent control to current applications in Earth observation constellations . His collaborations span JPL, NASA, and Saraniasat Inc., with technical contributions to 6U CubeSat standardization and onboard computing architectures.

• Embedded computer systems
• Real-time systems
• Technical cybernetics
• +۵ مورد دیگر

Kristian Muri Knausgård is a Lecturer at the Department of Engineering Sciences , University of Agder , Norway. He teaches courses in embedded systems, software development, and robotics. Current courses: MAS245 (Embedded Computer Systems), MAS417 (Software Development), MAS418 (Robotics Programming) Previous courses: MAS218 (Electrical Circuits), MAS234 (Embedded Systems) His research focuses on embedded systems , real-time systems , and technical cybernetics , with applications in artificial intelligence , computer vision , and systems engineering . He contributes to the university's research groups on Robotics and Automation and Systems Engineering and Modeling . Recent publications show a strong emphasis on: Autonomous systems (robotics, docking algorithms) Deep learning applications in marine ecology 3D reconstruction and computer vision techniques Fish detection/classification using neural networks Industrial automation for aquaponic systems His work bridges theoretical research with practical implementations in mechatronic systems and environmental monitoring.

Heidi Kluessمشاهده پروفایل

دانشیار

• Exercise Physiology
• Sports Science
• Human-Animal Interaction
• +۴ مورد دیگر

Dr. Heidi Kluess serves as an Associate Professor in the School of Kinesiology at Auburn University, Alabama, where she directs the Human-Dog Bond with Sports and Exercise Laboratory. With 38 peer-reviewed publications, her academic profile bridges human exercise physiology and canine sports science, emphasizing translational research on interspecies health impacts. Her research investigates how dog sports participation influences body condition, fitness metrics, and cognitive function in both canines and human handlers. Specializing in activities including Obedience, Rally, Barn Hunt, Dock Jumping, and Nosework, she examines physiological mechanisms linking owner-dog dyads through metabolic, cardiovascular, and behavioral lenses. This work uniquely integrates veterinary kinesiology with human sports medicine. Analysis of her recent publications reveals dominant trends in canine-human exercise physiology, with recurring themes in body condition assessment methodologies, metabolic responses to sport-specific activities, and neuropeptide regulation in dual-species contexts. Her interdisciplinary approach combines molecular exercise biochemistry with observational field studies of dog sports communities. Scientific recognition includes: Fellow of the American College of Sports Medicine As laboratory director, Dr. Kluess oversees research on canine fitness protocols and human health outcomes within dog sports ecosystems. Her team employs dual-species assessment tools to quantify how competitive activities like Dock Jumping modulate physiological markers in handler-dog pairs, establishing foundational data for veterinary sports medicine and human-animal bond therapeutics.

Petras Swisslerمشاهده پروفایل

استادیار

• Robotics
• Modular Robotics
• Robotic Self-Assembly
• +۳ مورد دیگر

Petras Swissler is an Assistant Professor in the Department of Mechanical and Industrial Engineering at New Jersey Institute of Technology (NJIT). He holds a B.S. from Rose-Hulman Institute of Technology (2012) and a Ph.D. from Northwestern University (2022). His research focuses on modular and self-reconfigurable robotics, with emphasis on robotic self-assembly, adaptive systems, and mechatronics design. Education: Ph.D., Mechanical Engineering, Northwestern University (2022) M.S., Mechanical Engineering, Northwestern University (2018) B.S., Mechanical Engineering, Rose-Hulman Institute of Technology (2012) Research interests include developing robots capable of autonomous assembly and reconfiguration, particularly in non-lattice and amorphous structures. His work bridges mechanical design with adaptive algorithms, aiming to create scalable and environment-responsive robotic systems. Key projects like FireAntV3 and SyncGenie demonstrate innovations in docking mechanisms and cross-disciplinary applications. Publications highlight contributions to modular robotics, environment-adaptive systems, and hardware-software integration. His work has implications for swarm robotics, disaster response systems, and biomedical tools. Prior to academia, Swissler worked as a Mechanical Engineer at Parametric Solutions Inc. (2012–2016). He maintains an active research group focusing on next-generation robotic systems.

Juan A. Carreteroمشاهده پروفایل

استاد

• Robot Kinematics
• Parallel Manipulators
• Motion Simulators
• +۳ مورد دیگر

Juan Antonio Carretero is Professor and Associate Dean Academic in Mechanical Engineering at the University of New Brunswick. His research focuses on robot kinematics, parallel manipulators, and motion planning, with applications in autonomous systems and mechanical design. He leads projects on reconfigurable robotic platforms and underwater docking systems, supported by multiple grants including SSHRC and McCain Foundation awards. Dr. Carretero has co-authored over 50 publications on mechanism optimization, cable-driven robots, and motion simulation. He teaches courses in robotics and mechanical design while supervising graduate research in kinematics and automation systems.

Steve Ulrichمشاهده پروفایل

دانشیار

• Spacecraft Guidance, Navigation and Control (GN&C)
• Spacecraft Proximity Operations
• Attitude Dynamics and Control
• +۳ مورد دیگر

Steve Ulrich is an Associate Professor in the Department of Mechanical and Aerospace Engineering at Carleton University and Director of the Spacecraft Robotics and Control Laboratory. He holds a B.Eng. and M.A.Sc. in Electrical Engineering from Université de Sherbrooke and a Ph.D. in Aerospace Engineering from Carleton University. His research focuses on spacecraft guidance, navigation, and control (GN&C), computer vision-based navigation systems, and space robotics. He has contributed to ESA’s PROBA-2 spacecraft systems and MIT’s space systems laboratory experiments. Education: B.Eng, Electrical Engineering, Université de Sherbrooke (2004) M.A.Sc, Electrical Engineering, Université de Sherbrooke (2006) Ph.D, Aerospace Engineering, Carleton University (2012) Research Interests: Spacecraft GN&C algorithms/software Proximity operations and formation flying Attitude dynamics and control Robotics and computer vision Solar drag and perturbation management His recent work emphasizes deep learning for autonomous capture systems, real-time vision-based navigation, and adaptive control strategies for space robotics. Articles highlight advancements in obstacle avoidance, optimal guidance, and experimental validation of control algorithms. The Spacecraft Robotics and Control Laboratory develops technologies for on-orbit servicing and debris removal. Advising focuses on graduate students in aerospace robotics and control systems. His lab collaborates with industry on projects like tether-based debris capture and CubeSat navigation systems.

Haoxiang Langمشاهده پروفایل

دانشیار

• Mechatronics
• Autonomous Robotics
• Visual Servoing
• +۳ مورد دیگر

Haoxiang Lang serves as Department Chair and Associate Professor in the Department of Automotive and Mechatronics Engineering at Ontario Tech University's Faculty of Engineering and Applied Science. His laboratory, GRASP Lab, focuses on advanced robotics and intelligent systems research. Education: PhD in Mechanical Engineering, University of British Columbia (2013) MASc in Mechanical Engineering, University of British Columbia (2008) BSc in Marine Engineering, Ningbo University (2003) Dr. Lang's research spans mechatronics, autonomous robotics, visual servoing, and machine learning. His work focuses on developing advanced control systems for robotic manipulation, autonomous vehicle navigation, and sensor fusion techniques. Recent projects include vision-based combat vehicle control, deep learning for aerial image processing, and thermal management for robotic systems. His publications demonstrate strong emphasis on robotic perception-control integration, with recurring themes in visual servoing, sensor fusion, autonomous navigation, and machine learning applications in robotics. Recent works increasingly incorporate deep neural networks for complex tasks like object manipulation and environment mapping. Dr. Lang leads the GRASP Lab, which develops experimental platforms including autonomous combat vehicles and robotic manipulators. The lab focuses on practical implementations of control theories and collaborates on industrial applications.

• Robotics
• Unmanned Aerial Vehicles (UAVs)
• Sensor Technology
• +۵ مورد دیگر

Frederic Bezombes is a Reader (associate professor) in Robotics at the School of Engineering, Liverpool John Moores University. Previously, he held roles as Lecturer in Mechatronics and Research Assistant at the university's General Engineering Research Institute (GERI). His work spans robotics, UAV applications, sensor technology, 3D reconstruction, and optical communication systems. PhD in Fiber Bragg Grating Temperature Sensors (GERI, 2004) B.Eng. Mechanical Engineering (University of Central Lancashire, 1999) D.U.T. Mechanical and Robotic Engineering (Institut Universitaire de Montpellier II, 1996) His research integrates drones with multispectral sensors for environmental monitoring, develops optical communication for underwater robotics, and explores precision measurement techniques. Recent publications highlight UAV applications in coastal morphology, virtual reality for sports analysis, and interferometer-based distance measurement. Frederic has contributed to projects like DigiArt (European Commission grant) and multiple short-term contracts with the Metropolitan Police (2023-2024), focusing on UAV deployment for security and forensic applications.

• Digitalization
• Control Systems
• Optimization Algorithms
• +۴ مورد دیگر

Guoyuan Li is a Professor at the Department of Ocean Operations and Civil Engineering, Faculty of Engineering, Norwegian University of Science and Technology (NTNU), Ålesund Campus. His work bridges digitalization , artificial intelligence , and maritime engineering , focusing on ship maneuvering, robotics, and human-machine interaction. Ph.D. in Computer Science, University of Hamburg (2013) M.S. & B.S. in Computer Science, Chongqing University (2009 & 2006) Research Interests: Digital twin systems for ships, adaptive locomotion control in bio-inspired robotics, trajectory prediction for marine vessels, and human visual attention analysis in maritime operations. He integrates machine learning and physics-based models to enhance safety and efficiency in marine environments. Publications highlight trends in ship motion prediction , collision avoidance , and environmental disturbance modeling , with applications in digital twin technology and remote control centers . His work spans IEEE and Springer journals. Awards include multiple Best Paper Awards at IEEE conferences (2024-2014). He serves as Associate Editor for IEEE Journal of Oceanic Engineering and IEEE Transactions on Intelligent Transportation Systems . Projects include EU’s RoboSapiens (robot adaptation), Digital Twin for Green Ship Operations (Norway), and AuReCo (remote control systems). He collaborates with the Intelligent Systems Lab at NTNU.

George Nikolakopoulosمشاهده پروفایل

استاد

• Robotics
• Artificial Intelligence
• Field Robotics
• +۹ مورد دیگر

George Nikolakopoulos is a Professor in Robotics and Automation at the Department of Computer Science, Electrical and Space Engineering at Luleå University of Technology , Sweden. He also holds a Chair in Robotics and Artificial Intelligence and has been affiliated with the NASA Jet Propulsion Laboratory for collaborative research on Aerial Planetary Exploration. Academic Rank: Professor Department: Computer Science, Electrical and Space Engineering Collaborations: NASA JPL, COSTAR Team Research Interests Robotics Artificial Intelligence Field Robotics UAVs (Unmanned Aerial Vehicles) Automatic Control Applications Learning and Reasoning Networked Embedded Systems Cyber-Physical Systems Mechatronics Adaptive Control System Identification Publications and Research Trends His recent publications focus on autonomous aerial robotics, deep mineral exploration, and AI-driven control systems. Key trends include the integration of reinforcement learning for UAV stabilization, path planning in subterranean environments, and cloud/edge-assisted control architectures for collaborative robotic systems. Scientific Awards and Recognitions Team's work included 4 times in a row at the IVA Top 100 list (Royal Academy of Engineers in Sweden) Won the second stage of the DARPA Grand Challenge on Sub-T exploration with the COSTAR team in February 2020 Leadership and Innovation He established the Digital Innovation Hub on Applied AI at Luleå University of Technology and founded two spin-offs, including FieldRobotix , which joined the IVA REACHME Silicon Valley accelerator. His lab, the Robotics Team , actively participates in cutting-edge projects like autonomous mining inspection and aerial additive manufacturing.

Costantinos Zagarisمشاهده پروفایل

استادیار

• Autonomous spacecraft guidance
• Spacecraft relative motion dynamics
• Optimal control
• +۴ مورد دیگر

Costantinos Zagaris is an Assistant Professor of Aerospace Engineering at the Air Force Institute of Technology (AFIT). He earned his B.S. (2007), M.S. (2012), and Ph.D. (2018) in Astronautical Engineering from Virginia Tech, AFIT, and the Naval Postgraduate School, respectively. His military career includes roles at Edwards Air Force Base, Space and Missiles Systems Center, and Air Force Research Laboratory. B.S. Aerospace Engineering, Virginia Tech (2007) M.S. Astronautical Engineering, AFIT (2012) Ph.D. Astronautical Engineering, Naval Postgraduate School (2018) Zagaris specializes in autonomous spacecraft guidance, spacecraft relative motion dynamics, optimal control, and reachability. His work focuses on spacecraft autonomy, control algorithms, and rendezvous maneuvers with tumbling objects. His recent publications address topics such as convex-programming-based guidance, model predictive control, and reachability analysis for spacecraft proximity operations and docking. These works emphasize applications in robotic manipulation, collision avoidance, and trajectory optimization. Zagaris has conducted experimental research on hardware-in-the-loop testbeds and has contributed to guidance strategies for spacecraft rendezvous and docking with rotating bodies. His technical expertise includes spacecraft autonomy, control systems, and mission planning for space operations.

• Active Debris Removal
• Flight Control Systems
• Unmanned Aerial Vehicles (UAVs)
• +۵ مورد دیگر

Dr. Jason Forshaw is a Research Fellow II at the Surrey Space Centre, University of Surrey. He holds a PhD in Electronics Engineering from the same institution, an MS in Aeronautics and Astronautics from Stanford University, and an MEng in Aerospace Engineering from the University of Sheffield. His career includes roles at Rolls-Royce, BAE Systems, and QinetiQ, where he led the QinetiQ Eye-On UAV project. His research focuses on active debris removal technologies, flight control systems for UAVs and satellites, and experimental robotics. Education: MEng (Hons) in Aerospace Engineering, University of Sheffield (2008) MS in Aeronautics and Astronautics, Stanford University (2010) PhD in Electronics Engineering, Surrey Space Centre (2013) Research interests include UAV control, debris removal, satellite dynamics, and optimal control algorithms. He led the EU FP7 RemoveDEBRIS mission (€11.3M), demonstrating netting, harpooning, and drag sail technologies. His work on the Intrepid satellite testbed and the Service-Oriented Active Debris Removal (SOADR) project further highlights his contributions to space engineering. Key awards include the IET Undergraduate Scholarship and Sir Basil Blackwell Award. He has managed over 60 staff across 9 partners in RemoveDEBRIS and coordinated a Royal Society exhibition on space debris, featured globally. His technical leadership spans project management, bid support, and dissemination in space research.

José Boaventura-Cunhaمشاهده پروفایل

استاد

• Instrumentation
• Modeling and Control
• Industrial Processes
• +۴ مورد دیگر

José Boaventura-Cunha is a Full Professor at the School of Sciences and Technology of the University of Trás-os-Montes and Alto Douro (UTAD) in Portugal. Since June 2012, he has served as Research Coordinator at the Robotics in Industry and Intelligent Systems Centre (CRIIS) of INESC TEC - Institute of Systems and Computer Engineering, Technology and Science, where he also coordinates the UTAD pole. His research spans multiple domains with a focus on Instrumentation, modeling and control applied to industrial and agro-forestry processes . His work bridges theoretical control systems with practical agricultural applications, particularly in precision farming and automation. His recent publications reveal a strong trend toward agricultural robotics, with significant contributions in grapevine pruning automation, smart spraying systems, and autonomous vehicle control. His research combines computer vision, sensor technologies, and advanced control algorithms to solve real-world agricultural challenges. His scientific contributions include several publications in high-impact journals such as SENSORS, IEEE ACCESS, and COMPUTERS AND ELECTRONICS IN AGRICULTURE, demonstrating his interdisciplinary approach that connects engineering principles with agricultural applications. As an academic supervisor, he has guided multiple graduate students through their thesis work at UTAD, focusing on robotics, autonomous systems, and intelligent control applications.

Majid Zamaniمشاهده پروفایل

دانشیار

• Cyber-Physical Systems
• Hybrid Systems
• Embedded Control Software Synthesis
• +۷ مورد دیگر

Majid Zamani is an Associate Professor in the Computer Science Department at the University of Colorado Boulder , and a Guest Professor at the Computer Science Department of Ludwig Maximilian University of Munich . He leads the Hybrid Control Systems Lab and previously held an Assistant Professor position (W2 grade) in Electrical Engineering at the Technical University of Munich (2014-2019). His work focuses on verification and control of cyber-physical systems, hybrid systems, and secure-by-construction synthesis. Education: Ph.D. and MA in Mathematics, University of California, Los Angeles (2012) M.Sc. in Electrical Engineering, Sharif University of Technology (2007) B.Sc. in Electrical Engineering, Isfahan University of Technology (2005) Research Interests: Verification and control of cyber-physical systems Secure-by-construction synthesis Information-based control Compositional analysis of interconnected systems Stochastic and nonlinear control systems Recent Articles Trends: Recent works emphasize barrier certificates for safety verification, data-driven control methods, and compositional synthesis for large-scale systems. Key themes include formal guarantees for safety, privacy (opacity), and secure design in stochastic and cyber-physical contexts. Awards: NSF Career Award (2022) ERC Starting Grant (2018) ERC Proof of Concept Grant (2023) George S. Axelby Outstanding Paper Award (2023) Grants and Labs: Active grants include NSF Career and ERC awards. The Hybrid Control Systems Lab investigates topics such as neural barrier certificates, compositional control, and sandboxing AI controllers for safety-critical systems.