جست‌وجوی استاد و پژوهشگر

John Economouمشاهده پروفایل

استاد

• Defence Sensors
• Gun Technologies
• Robotics and Autonomous Systems
• +۴ مورد دیگر

Professor John Economou is Professor of Defence Robotics and Autonomous Systems and Deputy Director of Consultancy at Cranfield University's Centre for Defence Engineering and Physical Science. He holds a BEng from University of Wales, MSc from University of Sheffield, and PhD from Cranfield University. His research focuses on uncrewed vehicle systems, control methods, and autonomous technologies for defence applications. Research areas include autonomous systems control, fuzzy logic systems, inertial sensing, and energy-based path planning. He leads the Robotics and Autonomous Systems and Human Machine Teaming (RAS-HMT) campaign and directs the Aerosystems MSc program. Recent publications focus on vehicle control systems, sensor fusion algorithms, and autonomous navigation. His research receives funding from UK Ministry of Defence, US Department of Defense, and defence industry partners including BAE Systems and QinetiQ.

Zervakis Michalisمشاهده پروفایل

استاد

• Digital Image Processing
• Signal Processing
• Biomedical Engineering
• +۳ مورد دیگر

Zervakis Michalis is a full Professor at the Technical University of Crete (TUC), serving as Rector and Director of the Digital Image and Signal Processing Laboratory (DISPLAY). He holds a Ph.D. in Electrical Engineering from the University of Toronto (1990) and has been a faculty member at TUC since 1995. His expertise spans Digital Image/Signal Processing, biomedical applications, and neural network implementations in automation. Education: Ph.D., Electrical Engineering, University of Toronto (1990) M.Sc., Electrical Engineering, University of Toronto (1985) B.Sc., Electrical Engineering, Aristotle University of Thessaloniki (1983) Research Interests: Signal/image processing for biomedical applications Machine learning for healthcare diagnostics EEG/ECG analysis and seizure detection Neural network architectures for automation Multi-sensor systems and aerial surveillance His research emphasizes clinical applications like epilepsy monitoring and cardiovascular diagnostics, leveraging deep learning and multimodal data fusion. He has led over 20 international projects and published >90 papers in image/signal processing. Current work focuses on AI-driven medical systems and UAV-based infrastructure monitoring. Labs/Teams: Director of the DISPLAY Lab, collaborating on projects like the BorderUAS semiautonomous surveillance platform and the Pulsense cardiovascular monitoring system. Grants/Contributions: Extensive involvement in EU-funded initiatives and industry partnerships, advancing smart farming, power line inspection, and emergency response systems.

Chahat Deep Singhمشاهده پروفایل

استادیار

• Robotics
• Computer Vision
• Artificial Intelligence
• +۴ مورد دیگر

Chahat Deep Singh is an Assistant Professor in the Paul M. Rady Department of Mechanical Engineering at the University of Colorado. His research focuses on minimal perception frameworks to enable autonomy in small robots, combining robotics, AI, and computational imaging. He leads the PRAISe Lab, pioneering bio-inspired perception algorithms and deploying them on robots for real-world applications. Education: PhD in Computer Science and Robotics, University of Maryland Master's in Computer Science and Robotics, University of Maryland Research Interests: Autonomous drones, neuromorphic perception, and computational imaging. His work emphasizes onboard autonomy for resource-constrained systems, with a focus on active perception and bio-inspired algorithms. Recent breakthroughs include the Minimal Perception framework, enabling credit-card-sized robots to navigate autonomously. Awards: Ann G. Wylie Fellowship (2022-2023) Future Faculty Fellowship (2022-2023) University of Maryland Dean Fellowship (2018-2020) Advising & Grants: Postdoctoral research funded by the Army Research Laboratory and Maryland Robotics Center (2023-2024). Currently advises students in robotics and AI at the University of Colorado. Labs & Teams: Director of the PRAISe Lab, collaborating with interdisciplinary teams to advance robotics solutions for environmental and societal challenges.

Dmitry Berensonمشاهده پروفایل

دانشیار

• Robotics
• Motion Planning
• Machine Learning
• +۳ مورد دیگر

Dmitry Berenson is an Associate Professor in the Robotics Department and Electrical Engineering and Computer Science Department at the University of Michigan. He holds a B.S. from Cornell University (2005) and a Ph.D. from Carnegie Mellon University (2011). His research focuses on algorithms for robotic manipulation, motion planning, and control, emphasizing integration with real-world systems and open-source distribution. He has received the IEEE RAS Early Career Award and NSF CAREER Award. His academic journey includes postdoctoral work at UC Berkeley (2012) and faculty positions at Worcester Polytechnic Institute (2012-2016). He leads the ARM Lab, exploring topics such as deformable object manipulation, tactile control, and learning-based planning. Teaching responsibilities include courses like ROB 502 (Programming for Robotics), EECS 465 (Algorithmic Robotics), and ROB 520 (Motion Planning). Education: B.S., Electrical and Computer Engineering, Cornell University (2005) Ph.D., Robotics Institute, Carnegie Mellon University (2011) Postdoctoral Research, UC Berkeley (2012) Research Interests: Learning and motion planning for manipulation Control theory and optimization Deformable object interaction Robot perception and tactile systems Key Contributions: Development of algorithms for manipulation under uncertainty Advances in motion planning with contact feedback Integration of learning with classical robotics methods Recent publications emphasize probabilistic modeling, tactile-driven control, and generalization in learned dynamics. His work addresses challenges in cluttered environments, deformable objects, and safe human-robot collaboration.

Juan Andrade Cettoمشاهده پروفایل

پژوهشگر

• Mobile Robotics
• Computer Vision
• Neuromorphic Systems
• +۳ مورد دیگر

Juan Andrade Cetto is a Researcher at the Institute of Robotics and Industrial Informatics (IRI), part of the Spanish National Research Council (CSIC). He previously served as Director of IRI from 2014 to 2020. His expertise spans mobile robotics, computer vision, and neuromorphic systems. He holds a BSEE from CETYS University (1993), an MSEE from Purdue University (1995), and a PhD in Robotics from the Universitat Politècnica de Catalunya (UPC, 2003), recognized with the EURON Georges Giralt Best PhD Award in 2005. Research Interests: - Mobile Robotics and Autonomous Systems - Event-based Vision and Neuromorphic Sensors - Real-time Sensor Fusion and SLAM - Control Systems for Energy Conversion (e.g., PEM Fuel Cells) - Probabilistic Methods for Robotics and Computer Vision Recent Research Trends: His work emphasizes neuromorphic computing and event-based systems for robotics applications, including optical flow estimation, ego-motion tracking, and real-time SLAM. Collaborations include EU projects like ALLIES (AI for Sustainable Development Goals) and RAMON LLULL (AIRA Postdoctoral Programme). He leads the BOMBUS project (Perception and Navigation for Agile Robotics, 2024–present). Scientific Awards: EURON Georges Giralt Best PhD Award 2005 Grants & Leadership: Principal Investigator in multiple national/EU projects including BOMBUS (CSIC) and ALLIES (European). Advising: - Current Students: José Agustín Aguilar Plazaola (Fuel Cell Control), Raquel De Frutos Arranz (Event Camera-based Collision Avoidance) - Past Students: Not explicitly listed in provided text. Labs & Teams: Active in IRI’s Robotics and Industrial Informatics research groups, focusing on applied robotics and sensor systems.

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

Liangjing Yang is an Adjunct Associate Professor at the University of Illinois at Urbana-Champaign and an Assistant Professor at Zhejiang University. He holds a Doctor of Engineering from the University of Tokyo (2014), a Master of Engineering from the National University of Singapore (2011), and a Bachelor of Engineering from the same institution (2008). His academic positions include research fellowships at MIT, SUTD, and the University of Tokyo, alongside his current faculty roles. His research focuses on robotics, control systems, and medical engineering , with applications in image-guided surgery, human-robot interaction, and precision engineering. Key areas include robotic micromanipulation, adaptive control strategies, and vision-based tracking systems for surgical navigation. Yang's teaching contributions include courses such as Resident Instruction Dynamics of Mechanical Systems , Signal Processing , and Control Systems at ZJUI (Zhejiang University-UIUC Institute). He has received accolades like the First Prize in ZJU-UIUC Junior Faculty Course Design Competition (2022) and the SUTD-MIT Postdoctoral Fellowship (2016) . His research articles span topics like robotic solutions for 3D printing, medical imaging integration, and collaborative human-robot systems. Notable work includes Detect-Remove-Replace: A Robotic Solution That Enables Unmanned Continuous 3D Printing (2022) and Review on Vision-Based Tracking in Surgical Navigation (2020).

Marcus Holzingerمشاهده پروفایل

استاد

• Space Policy
• Space Situational Awareness
• Information Theory
• +۴ مورد دیگر

Dr. Marcus Holzinger is the Joseph T. Negler Professor and Hatfield Endowed Professor in Space Policy & Law at the University of Colorado Boulder's Department of Aerospace Engineering Sciences. He leads the Colorado Center for Astrodynamics Research (CCAR) and the VADeR Laboratory, focusing on advancing space exploration through interdisciplinary research in space policy, autonomy, and space situational awareness. His work emphasizes collaboration and sustainable practices in space. Education: PhD in Aerospace Engineering Sciences, University of Colorado Boulder (2011) MS in Aeronautics & Astronautics Engineering, University of Washington (2005) BS in Aeronautics & Astronautics Engineering, University of Washington (2003) Research Interests: Space Policy & Law Space Domain Awareness Autonomy & Decision Support Systems Cislunar Space Dynamics Information Theory & Estimation Space Traffic Management Recent Research Trends: Holzinger’s work prioritizes cislunar space exploration and decentralized decision-making for space systems, with applications in orbital debris mitigation, sensor tasking, and spacecraft autonomy. His publications frequently address challenges in initial orbit determination and spacecraft maneuver detection . Awards: American Astronautical Society Fellow (2022) AIAA Associate Fellow (2018) AFOSR Young Investigator Award (2017) Advising & Labs: Holzinger mentors students in the STARLIT and VADeR Observatories. Notable advisees include Sam Fedeler (2023 PhD) and Katie Melbourne (PhD student). His labs develop technologies like astrographic mapping and sensor networks for space surveillance. Labs/Teams: CCAR and the VADeR Lab collaborate on projects funded by NASA, AFRL, and industry partners, emphasizing hardware-in-the-loop testing and space policy frameworks.

Christian Vogtمشاهده پروفایل

مدرس

• IoT and Embedded Systems
• Wireless Sensor Networks
• Medical Electronics
• +۳ مورد دیگر

Dr. Christian Vogt Dr. Christian Vogt is a Lecturer at the Department of Information Technology and Electrical Engineering within the Center for Project-Based Learning at ETH Zürich. His research focuses on IoT systems, embedded electronics, and wearable technology with applications in agriculture, healthcare, and urban computing. He specializes in energy-efficient sensor networks, flexible electronics, and real-time data transmission systems. Research Interests Vogt's work bridges hardware innovation and software optimization, emphasizing practical implementations through project-based learning. Key areas include: IoT and Wireless Sensor Networks Low-power embedded machine learning Wearable biomedical devices Flexible/stretchable electronics Ultra-wideband and radar-based sensing Publications Recent work highlights energy-efficient livestock monitoring systems using LoRa, battery-free sensor nodes powered by human body energy, and real-time gesture recognition with novel sensors. His research often involves interdisciplinary collaborations between computer science, electrical engineering, and biomedical applications. Affiliations ETH Zürich - Center for Project-Based Learning Department of Information Technology and Electrical Engineering Contact: christian.vogt@pbl.ee.ethz.ch

Felipe Martinsمشاهده پروفایل

مدرس ارشد

• Mobile Robot Control
• Educational Robotics
• Robotics Competitions
• +۶ مورد دیگر

Felipe Martins is a Senior Lecturer-Researcher at Hanze University of Applied Sciences, active in both teaching and the Sensors and Smart Systems research group. He holds a PhD in Electrical and Electronic Engineering (2009) and has a background in industrial automation engineering (1999-2003). His work contributes to UN Sustainable Development Goals through educational robotics and automation. PhD: Modeling and Dynamic Compensation of Mobile Robots (Federal University of Espirito Santo) MSc: Control of Induction Generators via Fuzzy Logic BSc: Microcontroller-based Motor Control Research spans mobile robot control , educational robotics , autonomous navigation , and sensor networks . Recent publications focus on LiDAR data processing (2024), reinforcement learning for robotic applications (2022), and machine learning-driven localization (2023). He received Best Paper Awards at OL2A 2023 and WRE 2018. As a part-time teacher at University of Groningen (since 2022) and visiting researcher at CeDRI (2023), he bridges academia and industry. His editorial roles include guest editorships at Automation (MDPI) and Sensors journals. He co-organized RoboCup Junior events (2013-2021) and developed open-source robotics education tools like RoSoS A free simulator (2016).

Gustavo B. H. de Azevedoمشاهده پروفایل

عضو هیئت علمی

• Weather-sensing UAS (WxUAS)
• Autonomous and Control Systems
• Sensors and Transducers
• +۵ مورد دیگر

Gustavo B. H. de Azevedo is a Research Assistant Professor in the Department of Mechanical and Aerospace Engineering at Oklahoma State University (OSU), affiliated with the College of Engineering, Architecture, and Technology (CEAT). His expertise spans weather-sensing UAS systems, autonomous control systems, and cross-disciplinary education. Education: PhD in Electrical and Computer Engineering, University of Oklahoma (2024) MSc in Electrical and Computer Engineering, University of Oklahoma (2020) BSc in Computer Engineering, Pontifícia Universidade Católica do Rio de Janeiro, Brazil (2017) Research Interests: Development of weather-sensing unmanned aerial systems (WxUAS) for atmospheric monitoring Optimization of autonomous control systems in harsh weather conditions Integration of low-cost sensors for environmental data collection Education innovations in engineering and cross-disciplinary STEM fields Awards: American Meteorological Society Award for contributions to ASTM standards on weather information for NextGen aircraft integration Advising & Grants: Active contributor to field campaigns such as LAPSE-RATE and the 3D Mesonet concept Collaborates with organizations like ASTM International and the American Institute of Aeronautics and Astronautics Labs/Teams: Involved in OSU's weather-sensing UAS development teams and the 3D Mesonet initiative, focusing on autonomous atmospheric profiling networks.

Daniel Göhringمشاهده پروفایل

استاد

• Autonomous Vehicles
• Mobile Robotics
• Computer Vision
• +۶ مورد دیگر

Prof. Daniel Göhring is a professor in the Department of Computer Science at the Free University of Berlin, leading the Autonomous Cars Lab and part of the Dahlem Center for Machine Learning and Robotics. His research emphasizes robotic perception, object tracking, and real-time planning under computational constraints, with a focus on autonomous vehicles and cooperative systems. Education: Bachelor's/Master's in Robotics (exact program unspecified) PhD in Computer Science at Humboldt University Berlin Postdoctoral Research at International Computer Science Institute (ICSI), Berkeley, CA Research Interests: Daniel's work integrates machine learning and sensor technologies like LiDAR and cameras to address challenges in autonomous driving. Key areas include SLAM algorithms, trajectory prediction, cooperative perception, and real-time systems. He explores how limited sensor data and computational resources can be optimized for dynamic traffic environments. Grants and Projects: Leader of the Autonomous Cars Lab Involved in EU-funded projects such as H2020 HIVEOPOLIS and KIS-M (AI-based mobility systems) Past projects include CRTX (recycling optimization), Open.Make (open hardware), RoboFish (biological swarm analysis), and SAFARI Awards: Best Poster Award at IAAS Workshop 2024 Best Paper Award at ICAIR-CACRE 2019 Teaching: He has taught courses such as Image Processing, Robotics, and Advanced Robotics. Recent semesters include modules on self-supervised learning, autonomous vehicle research, and continuous learning software projects. Labs and Teams: Daniel heads the Autonomous Cars Lab and collaborates with the BioRobotics Lab, focusing on interdisciplinary projects like 'Robots Communicating with Fish' and 'Open Hardware for FAIR Robotics.'

Gaurav Sukhatmeمشاهده پروفایل

استاد

• Robotics
• Artificial Intelligence
• Computer Science
• +۶ مورد دیگر

Gaurav Sukhatme is a Professor of Computer Science and Electrical and Computer Engineering at the University of Southern California (USC), serving as Executive Vice Dean of the USC Viterbi School of Engineering and inaugural Director of the USC School of Advanced Computing. He holds the Donald M. Aldstadt Chair in Advanced Computing. His academic roles include former Chair of the USC Computer Science Department (2012–2017) and co-director of the USC Robotics Research and Robotic Embedded Systems Laboratories. **Education:** Bachelor's in Computer Science and Engineering, Indian Institute of Technology Bombay M.S. and Ph.D. in Computer Science, University of Southern California **Research Interests:** His work focuses on networked robots, learning-based robotics, field robotics, and AI-driven systems. Key areas include multi-robot coordination, autonomous systems, and resilient control strategies for heterogeneous teams. He emphasizes human-centered computing and ethical implications of AI. **Article Trends:** Recent publications highlight advancements in zero-shot visual generalization, multi-robot navigation, reinforcement learning for manipulation, and decentralized trajectory planning. Themes include resilience in multi-robot systems, policy optimization, and leveraging large language models for robotics tasks. **Awards:** AAAS Fellow (2024) NSF CAREER Award (2002) IEEE Fellow (2010) Okawa Foundation Research Grant (2006) **Advising & Grants:** He has served as PI/co-PI on NSF, DARPA, and NASA grants, including leadership in the NSF-funded Center for Embedded Networked Sensing (CENS). His work bridges theoretical and applied robotics, emphasizing cross-disciplinary collaboration. **Labs & Teams:** Directs the USC Robotics Research Laboratory and collaborates widely with institutions like JPL. His team focuses on real-world applications in autonomous systems, environmental monitoring, and human-robot interaction.

• Wearable Robotics
• Exoskeleton Control Systems
• Biomechanics
• +۴ مورد دیگر

Aaron J. Young is an Adjunct Associate Professor in the School of Electrical and Computer Engineering at Georgia Institute of Technology. His research focuses on wearable robotics, exoskeleton control systems, and biomechanical analysis. He specializes in integrating machine learning and AI to enhance mobility assistance technologies for individuals with physical impairments. Young's work emphasizes real-time systems, including gait estimation, intent recognition, and adaptive assistance strategies for prosthetics and exoskeletons. His projects address challenges in slope navigation, stair climbing, and energy-efficient movement, often collaborating with clinical and engineering teams to translate innovations into practical applications. Key areas of exploration include exosuit design for hazardous environments (e.g., DOE-EM operations), biomechanical evaluation of manual lifting tasks, and improving post-stroke gait rehabilitation. His research also tackles commercialization barriers for wearable robotics, emphasizing sensor limitations and user-independent control systems. Recent publications highlight advancements in deep learning for slip detection, data-driven gait phase estimation, and task-agnostic exoskeleton control. His contributions aim to reduce metabolic costs, enhance user safety, and bridge the gap between robotics and clinical needs.

Ignacio Carluchoمشاهده پروفایل

استادیار

• Robotics
• Autonomous Systems
• Reinforcement Learning
• +۳ مورد دیگر

Ignacio Carlucho is an Assistant Professor at Heriot-Watt University's School of Engineering & Physical Sciences, affiliated with the Institute of Sensors, Signals & Systems. He holds a PhD from the National University of Central Buenos Aires (2019) and completed postdoctoral research at Louisiana State University (2020–2021) and the University of Edinburgh (2021–2023). His research focuses on intelligent robots, particularly in underwater robotics, reinforcement learning, multi-agent systems, and cooperative autonomy. **Education:** PhD in Robotics, National University of Central Buenos Aires, 2019 Postdoctoral Researcher, Louisiana State University, 2020–2021 Postdoctoral Researcher, University of Edinburgh, 2021–2023 **Research Interests:** Underwater Robotics Reinforcement Learning Multi-Agent Systems Autonomous Systems Human-Robot Interaction Simulation Frameworks (e.g., MarineGym, Stonefish) His work emphasizes cooperative robotics, underwater vehicle control, and ad hoc teamwork in dynamic environments. **Publications:** Over 46 research outputs, with recent contributions focusing on underwater robotics simulation, reinforcement learning algorithms, and digital twins for teleoperation. Key frameworks include MarineGym (underwater RL platform) and Stonefish (machine learning support for marine robotics). **Awards:** No scientific awards explicitly listed in the provided texts. **Advising & Grants:** Accepting PhD students in reinforcement learning, robotics, and multi-agent systems. Collaborations include projects on underwater vehicle autonomy and ad hoc teamwork. **Labs & Teams:** Active in the Institute of Sensors, Signals & Systems, contributing to interdisciplinary robotics and marine technology initiatives.

Gennaro Notomistaمشاهده پروفایل

استادیار

• Robotics
• Control Systems
• Optimization
• +۳ مورد دیگر

Gennaro Notomista is an Assistant Professor at the University of Waterloo, part of the Full-time faculty. His research focuses on robotics, control systems, and multi-agent coordination. Key areas include swarm intelligence, optimization of robotic tasks, and safety-critical control algorithms. He is affiliated with the Robotarium, a remotely accessible multi-robot testbed, and explores applications in autonomous vehicles, environmental monitoring, and creative robotics projects like music-driven swarm painting. His work emphasizes energy-efficient task allocation, decentralized control strategies, and safe navigation frameworks. Notable contributions include advancements in control barrier functions for ensuring safe operation and resilient task execution in dynamic environments. Recent publications address challenges in persistent environmental monitoring, long-duration autonomy, and the design of wire-traversing robots. Notomista’s research also bridges robotics with real-world applications, such as using robot swarms to model epidemiological dynamics and enhance teleoperation systems. His interdisciplinary approach combines optimization theory, machine learning, and mechanical design to tackle complex robotic systems challenges.