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Zheng ChenView profile

Associate Professor

• Electroactive Polymer Actuators and Sensors
• Bio-inspired Robotics
• Energy Storage Systems
• +4 more

Dr. Zheng Chen is the Bill D. Cook Associate Professor of Mechanical & Aerospace Engineering at the University of Houston, affiliated with the Cullen College of Engineering. He holds a PhD from Michigan State University (2009) and postdoctoral training from the University of Virginia (2009-2012). His research focuses on bio-inspired robotics, electroactive polymers, and energy systems, with notable projects including NASA-funded inflatable space systems (IDEAS2 Center) and robotic inspection systems for offshore oil infrastructure. He has secured over $6 million in funding as PI or Co-PI, including an NSF CAREER Award (2017) and a 2023 teaching excellence award. His lab, Bio-inspired Robotics and Controls, develops advanced actuators for prosthetics, underwater vehicles, and harsh environment applications. Key contributions include robotic fish for CO2 leak detection, dielectric elastomer-based actuators, and buoyancy control systems using reversible fuel cells. He advises multiple graduate students and teaches courses on dynamics, control theory, and robotics. Education Postdoc, Mechanical & Aerospace Engineering, University of Virginia (2009-2012) PhD, Electrical Engineering, Michigan State University (2009) M.E., Control Science and Engineering, Zhejiang University (2002) B.E., Electrical Engineering, Zhejiang University (1999) Research Highlights Dr. Chen's work bridges smart materials and robotics, emphasizing soft actuators for biomedical applications and underwater systems. Recent innovations include: Dielectric elastomer-based prosthetic fingers and orthotic devices Bio-inspired robotic fish for environmental monitoring and pipeline inspection Hybrid buoyancy control using reversible PEM fuel cells Autonomous subsea robotics for hazardous environments Grants & Collaborations Major projects include: $4.9M NASA IDEAS2 Center (Co-PI, 2024-2029) $960K BSEE-funded robotic pipeline inspection (PI, 2023-2026) $500K NSF CAREER Award for prosthetic actuators (2017-2022) Labs & Teams Director of the Bio-inspired Robotics and Controls Lab, collaborating with industry partners like Baker Hughes and academic teams on NSF/AFRL projects. Active in IEEE, ASME, and conference organizing roles (e.g., ACC, ICRA).

Michalis MichaelidesView profile

Assistant Professor

• Communication Systems
• Wireless Sensor Networks
• Environmental Monitoring
• +6 more

Michalis Michaelides is an Assistant Professor at the Department of Electrical Engineering, Computer Engineering and Informatics at the Cyprus University of Technology , where he has held a tenure-track position since 2012. He holds a PhD in Electrical Engineering from the University of Cyprus (2009), and earlier degrees from Purdue University (MSEE, 1998; BSEE, 1997). His research focuses on communication systems, wireless sensor networks, environmental monitoring, and computational intelligence applications in maritime logistics and smart infrastructure. He received the Elsevier Building and Environment Journal Best Paper Award in 2014. His work spans smart port operations , IoT integration , and data-driven environmental modeling . Recent publications address berth allocation optimization, vessel arrival prediction, CO2-based virus transmission risk analysis, and AI-driven maritime terminal management. His interdisciplinary approach combines signal processing, optimization algorithms, and sensor networks to solve challenges in transportation, environmental sustainability, and public health. Education: PhD in Electrical Engineering, University of Cyprus (2009) MSEE, Purdue University (1998) BSEE, Purdue University (1997) Awards: Elsevier Building and Environment Journal Best Paper Award (2014) His research group collaborates on projects like intelligent irrigation systems and coastal eutrophication analysis , leveraging computational intelligence for real-world applications. Ongoing work emphasizes port efficiency, sensor network reliability, and decision support systems for maritime logistics.

Scott NoklebyView profile

Professor

• Robotics Engineering
• Mechatronics Systems
• Automation Technologies
• +7 more

Dr. Scott Nokleby is an Associate Dean, Academic and Professor in the Department of Automotive and Mechatronics Engineering at the University of Ontario Institute of Technology. He holds a PhD in Mechanical Engineering from the University of Victoria (2003), and has over two decades of academic leadership and research experience. His primary roles include academic administration and advancing robotics and mechatronics research. Education: PhD (Mechanical Engineering, UVic, 2003), MASc (Mechanical Engineering, UVic, 1999), BEng (Mechanical Engineering with Co-op, UVic, 1997). Research interests focus on advanced robotics topics including parallel manipulators, mobile-manipulator systems, kinematic redundancy analysis, and autonomous systems. His work emphasizes practical applications such as radiation mapping robots, perching drones, and robotic hazard management. Notable contributions include optimal design methodologies for mechanisms and control systems for human-robot interaction. Publications reflect expertise in robotics systems, mechatronics, and nuclear engineering applications. Recent work explores multi-robot task allocation, autonomous navigation, and advanced control algorithms. Awards: Fellow of ASME (2022) Fellow of CSME (2016) CSME Best Paper Award (2014) UOIT Research Excellence Award (2008) CSME I.W. Smith Award (2007) Teaches graduate courses in advanced robotics, mobile robotic systems, and mechanism design. Active in academic administration, he bridges teaching innovation with engineering education through projects like tablet computing integration in design courses. Labs/Teams: Leads robotics research initiatives focused on autonomous systems development, with collaborations spanning nuclear safety, mining automation, and aerospace applications.

Fabien MoutardeView profile

Professor

• Machine Learning
• Deep Learning
• Computer Vision
• +8 more

Fabien Moutarde is a Full Professor and Director of the Center for Robotics at MINES ParisTech (PSL University, Paris, France). He holds a PhD in Physics and an Habilitation to Direct Research in Engineering Sciences. Dr. Moutarde coordinates French engineering education at ParisTech_Shanghai (SPEIT) in China. Research Areas Deep Learning & Reinforcement Learning Computer Vision for Intelligent Vehicles Collaborative Robotics Traffic Analysis & Forecasting Human Gesture Recognition Recent Article Trends His work focuses on autonomous driving using Deep Reinforcement Learning, pedestrian trajectory prediction with spatio-temporal attention, and multi-modal localization techniques combining vision with Wi-Fi. Key applications include urban traffic analysis, collaborative robotics, and end-to-end driving systems. Leadership & Teaching Co-created specialized Machine Learning courses Pioneered Deep Reinforcement Learning lectures Led French-Chinese academic coordination Former UML/Java curriculum developer Publications With 28 h-index, his research includes 30+ IEEE/ACM publications on autonomous vehicles, gesture recognition, and traffic mining. Representative conferences: CVPR, NeurIPS, IROS, ITSC.

Andrew WestView profile

Researcher

• Robotics
• Nuclear Engineering
• Radiation Detection
• +3 more

Andrew West is a researcher affiliated with the University of Manchester, contributing to the Dalton Nuclear Institute. His work focuses on advancing robotics and autonomous systems for nuclear environments, particularly in radiation detection, mobile robot navigation, and hazardous environment exploration. Key areas include radiation mapping, sensor integration, and risk assessment in nuclear facilities. He has developed specialized robots like CARMA II and Vega for nuclear surveying and decommissioning tasks. Collaborations span international institutions such as JSI and LUNL, with datasets publicly available via Figshare. His research aligns with UN Sustainable Development Goals related to sustainable energy and industry innovation. Education: Background in robotics and nuclear engineering, though specific degrees are not detailed in the text. Research interests emphasize the practical application of robotics in nuclear decommissioning, including real-time radiation avoidance, sensor fusion, and multi-robot ecosystems. His work bridges theoretical modeling (e.g., Gaussian process regression) with practical field deployments, ensuring robots can safely operate in high-risk environments. Publications highlight advancements in radiation localization, sensor calibration (e.g., angular responses), and safety protocols for autonomous systems. The top-cited works focus on multimodal sensing and digital twin platforms for nuclear robot fleets, showcasing industry-academia partnerships. Grants & Projects: Contributions to projects like TORONE (Total Characterisation of Nuclear Environments) and the development of open-source platforms like Mona robot. West’s lab focuses on creating affordable, robust robotic solutions for nuclear challenges, with datasets publicly accessible to foster collaborative research.

• Sustainable Building Practices
• Facility Management Strategy
• Workplace Design and Ergonomics
• +3 more

Eunhwa Yang is an Associate Professor and Curriculum Committee Chair at the School of Building Construction, Georgia Institute of Technology. She holds a Ph.D. in Human Behavior and Design from Cornell University and an MS in Building Construction from Georgia Tech. Her research focuses on the interplay between built environments and human outcomes, employing Bronfenbrenner’s ecological systems theory to study workplaces, campuses, and homes. Key areas include sustainable building practices, facility management optimization, and aging-in-place strategies for individuals with mild cognitive impairment. As an advocate for innovative teaching methods, Dr. Yang has developed facility management courses using active learning and service learning approaches. She has led workshops on pedagogical strategies at GT’s Center for Teaching and Learning and Cornell’s Center for Teaching Excellence. Professional affiliations include the International Facility Management Association (IFMA) and CoreNet Global, where she has received young researcher awards and fellowships. Her recent work emphasizes data-driven solutions for energy performance contracting, hybrid workspaces, and inclusive housing designs. The Workplace Ecology Lab under her direction explores environmental factors influencing sleep health, workplace safety, and aging-in-place technologies. Over 15 years of grant-funded research has produced impactful studies on green leasing, building lifecycle analysis, and multi-stakeholder decision-making in urban transformation projects. Awards: IFMA Fellowships, IAPS Workshop Grant Grants: CoreNet Global Academic Challenges, IAPS sponsored projects Labs: Workplace Ecology Lab at Georgia Tech School of Building Construction Dr. Yang’s advisory work supports facility managers, corporate real estate directors, and designers in optimizing space utilization through evidence-based strategies. Her research bridges environmental science, architectural design, and human behavior studies to create healthier, more equitable built environments.

Miles HansardView profile

Senior Lecturer

• Computer Vision
• 3D Scene Reconstruction
• Robotics
• +6 more

Dr. Miles Hansard is a Senior Lecturer at Queen Mary University of London's School of Electronic Engineering and Computer Science. His research focuses on 3D scene reconstruction, multi-view imaging, depth cameras, radar localization, and human vision. He specializes in geometric aspects of vision, image processing, and robotics applications. His teaching includes modules on Computer Graphics (for both postgraduate and undergraduate students) and Introduction to Multimedia Systems. These courses cover topics like 3D graphics algorithms, human perception of color, and multimedia system fundamentals. Dr. Hansard's work integrates sensor technologies such as time-of-flight cameras and millimeter-wave radar to improve 3D reconstruction and robotic systems. He contributes to projects like the GRIP software framework for robotic grasping and has published extensively in journals like IEEE Transactions on Image Processing and the International Journal of Neural Systems. He is affiliated with the Centre for Multimodal AI, where he collaborates on research involving sensor fusion, autonomous systems, and visual perception. His expertise bridges computer vision, robotics, and multimedia engineering.

Alberto Quattrini LiView profile

Associate Professor

• Robotic Exploration
• Multi-Agent Systems
• Underwater Robotics
• +1 more

Alberto Quattrini Li is Associate Professor of Computer Science at Dartmouth College, directing the Reality and Robotics Laboratory. His research develops autonomous systems for aquatic environments with applications in environmental monitoring and underwater archaeology. Current NSF-supported projects focus on multi-robot aquatic exploration and archaeological inspection systems. Research thrusts include surface vehicle obstacle avoidance in waterways, low-cost underwater sensing solutions, autonomous underwater construction, and laser-based air-underwater communication. Recent innovations include buoyancy-enabled manipulation systems and multi-sensor SLAM techniques for underwater operations. Quattrini Li advises six PhD students and collaborates with archaeologists through NSF grants. His laboratory prototypes systems using custom surface and underwater robotic platforms. No scientific awards are documented in the source materials.

Sivakumar RathinamView profile

Professor

• Motion Planning
• Autonomous Vehicles
• Collaborative Decision Making
• +3 more

Dr. Sivakumar Rathinam is a Professor in the Department of Mechanical Engineering at Texas A&M University, affiliated with the College of Engineering and the Computer Science & Engineering department. He holds certifications as a Fellow of ASME (2021) and Senior Member of IEEE (2019). His research focuses on motion planning for autonomous vehicles, collaborative decision-making, combinatorial optimization, and vision-based control systems. He leads the Autonomy Lab, addressing challenges in multi-agent systems, path planning, and rural autonomous vehicle accessibility. Education: Ph.D., Civil Systems Engineering, University of California, Berkeley (2007) M.S., Electrical Engineering & Computer Science, UC Berkeley (2006) M.S., Mechanical Engineering, Texas A&M University (2001) B.Tech., Mechanical Engineering, Indian Institute of Technology Madras (1999) Research Highlights: Dr. Rathinam's work spans autonomous vehicle navigation, UAV coordination, and sensor fusion for adverse conditions. His lab develops algorithms for multi-agent pathfinding and persistent monitoring missions. Recent efforts include rural road detection datasets (R2D2) and thermal/LIDAR sensor fusion for safety in challenging environments. Awards: Outstanding Faculty Contribution Award (2021) Best Paper Runner-Up, ICAPS (2021) Teaching Excellence Award (2012) Labs & Teams: Directs the Autonomy Lab, collaborating with industry partners through the Mechanical Engineering Industry Advisory Council. Active in NSF-funded projects on equitable rural autonomy and multi-UAV recharging frameworks.

• Robotic Vision
• Autonomous Vehicles
• Computer Vision
• +7 more

Dr. Annette Stahl is a Professor at the Department of Engineering Cybernetics, Norwegian University of Science and Technology (NTNU). She is an Onsager Fellow and leads the Robot Vision Group, overseeing the AILARON project funded by the Research Council of Norway. Her roles include affiliation with NTNU AMOS and the SFI AutoShip Centre for Research-based Innovation. Stahl holds a PhD in Applied Mathematics (Computer Vision) from Heidelberg University. Affiliations: NTNU AMOS, SFI AutoShip, and AILARON project leadership Research Focus: Robotic vision, autonomous systems, underwater exploration, and aquaculture monitoring Education: PhD in Applied Mathematics (Computer Vision) – Heidelberg University Research Interests: Her work spans robotic and computer vision, control theory, autonomous vehicles, mathematical image analysis, and machine learning applications in aquaculture and maritime systems. Key focus areas include underwater SLAM, sensor fusion for autonomous ships, and plankton detection using AI. Articles: Recent publications emphasize underwater robotic systems, sensor fusion for autonomous navigation, and AI-driven aquaculture monitoring. Key themes include 3D reconstruction, visual SLAM, and maritime tracking algorithms. Grants & Projects: AILARON (FRINATEK/IKTPLUSS) AUTOSIGHT (IKTPLUSS) AROS (IKTPLUSS) SFI AutoShip (SFI) Advising: Main supervisor for 10+ PhD candidates (e.g., Trym Nygård, Mauhing Yip) Co-advisor for projects like INDISAL (fish identification) Labs/Teams: Robot Vision Group at NTNU Collaborations with SINTEF Ocean and Zebop AS

Connor McCannView profile

Assistant Professor

• Robotics Engineering
• Soft Robotics
• Wearable Robotics
• +3 more

Connor McCann is an Assistant Professor in the Robotics Engineering department at Worcester Polytechnic Institute (WPI). He leads the PRiSM Lab, which focuses on hybrid-stiffness mechanisms blending rigid and soft robotics to enhance robotic capabilities. His work integrates first-principles modeling with application-driven design for areas like robotic grasping, wearable robotics, and bioinspired systems. Education: Ph.D. and M.S. in Mechanical Engineering from Harvard University (2025, 2021), and B.S. in Mechanical Engineering from Yale University (2018). Research interests include the mechanics of rigid-soft material interactions, soft wearable robotics, bioinspired systems, and robotic manipulation. His lab emphasizes translating mechanical principles into functional prototypes for real-world applications. Key research trends in his articles include advancements in wearable robotics for industrial/medical use, aerodynamic control via textile metamaterials, and autonomous robotic exploration using low-cost hardware. His work bridges material science and robotics to create adaptive, high-performance systems. Labs/Teams: Director of the PRiSM Lab at WPI, focused on rigid-soft robotics innovation.

Fernando E. CasadoView profile

Researcher

• Machine Learning
• Robotics
• Human-Robot Interaction
• +5 more

Dr. Fernando E. Casado is a Researcher at the Personal Robotics Lab (PRL) within the Department of Electrical and Electronic Engineering at Imperial College London since March 2023. He holds a BSc in Computer Science (2017, University of Santiago de Compostela) with awards for academic excellence, an MSc in Artificial Intelligence Research (2018, Menéndez Pelayo International University), and a PhD in Computer Science (2022, USC) with Cum Laude distinction for his work on continual federated learning strategies. His research focuses on multi-robot and multi-user machine learning to enhance trustworthy human-robot interaction, addressing challenges such as concept drift, non-stationary data, and personalized robotic behavior. Key contributions include federated learning frameworks for assistive robotics, adaptive algorithms for heterogeneous data, and eye-gaze tracking for trust assessment in HRI. Publications span topics like federated learning, continual learning, and human-robot trust, with applications in assistive devices and smart environments. Awards include the Best Academic Record and Thesis Award (BSc) and the highest honors in his PhD. Casado’s work bridges theoretical machine learning with practical robotics, emphasizing privacy-aware systems and user-centered design. He collaborates internationally, including visits to PRL in 2021, and contributes to advancing adaptive algorithms for real-world robotic applications.

• Human-Robot Interaction
• Explainable Robotics
• Assistive Robotics
• +5 more

Dr. Maryam Banitalebi Dehkordi is a Senior Lecturer in Robotics and AI at the University of Hertfordshire, UK. She holds a PhD in Perceptual Robotics from Scuola Superiore Sant'Anna (Italy) and a master's in Mechatronics from University Technology Malaysia. Her career spans academia and industry, with roles at institutions like Technical University of Munich and NavVis GmbH, as well as industry projects such as the Innovate UK-funded AgriRobot. Her research focuses on Human-Robot Interaction (HRI) , Explainable Robotics , Assistive Robotics , and autonomous systems . Key projects include DOC (navigation aid for visually impaired individuals) and AgriRobot (precision agricultural robotics). She has expertise in activity recognition via smartphone sensors, navigation systems, and social robotics interfaces. Publications (2012–2025) emphasize explainable AI in robotics, feature selection for activity recognition, and social behavior interpretation. Her work bridges theoretical robotics with real-world applications in healthcare, agriculture, and accessibility. No awards are explicitly listed, but her extensive collaboration network (Italy, Germany, UK) reflects interdisciplinary impact. She advises on robotics projects and has contributed to both academic journals and industry collaborations.

Vlachos KostasView profile

Assistant Professor

• Robotics
• Control of Robotic Mechanisms
• Microrobotics
• +7 more

Kostas Vlachos is an Assistant Professor in the Department of Computer Science and Engineering at the University of Ioannina, Greece. He has been in this position since 2014, following prior teaching roles at the University of Thessaly (2007–2013). He is a member of the Information Processing and Analysis (I.P.AN.) research group and actively supervises PhD, MSc, and diploma students in robotics and control systems. PhD, School of Mechanical Engineering, National Technical University of Athens, 2004 MSc, Interdepartmental Postgraduate Program in Automation Systems, National Technical University of Athens, 2000 Diploma in Electrical Engineering, Technical University of Dresden, Germany, 1993 His research focuses on robotics and control, with emphasis on microrobotics , haptic mechanisms , medical simulators , and autonomous navigation . He has made significant contributions to over-actuated marine platforms, reinforcement learning for navigation, and tactile robotic systems. His work bridges mechanical engineering and computer science, particularly in intelligent robotic control. The 15 most recent publications highlight a strong trend in autonomous marine robotics , multi-agent reinforcement learning , and intelligent control systems . Key themes include energy-efficient control, obstacle avoidance, sensor fusion, and learning-based navigation. The research spans from theoretical control design to real-world implementation in unmanned surface vehicles and microrobots. Best Student Paper Award, 9th Hellenic Conference on AI (SETN 2016) Vlachos has supervised over 30 students at various levels and has participated in multiple national and European research projects in robotics and automatic control. His teaching includes courses such as Computational Mathematics, Robotics, and Robotic Systems. He collaborates extensively with researchers like E. Papadopoulos and K. Blekas. He leads research within the Information Processing and Analysis (I.P.AN.) group, focusing on intelligent perception and control of robotic systems. His lab works on mobile manipulators, haptic devices, mini-robots, and marine platforms, integrating simulation (ROS/Gazebo) with real-world experimentation.

• Smart Wireless Systems
• Internet of Things (IoT)
• Information Security
• +8 more

Mohammad Derawi is a Professor in the Department of Electronic Systems at the Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology (NTNU), Gjøvik campus. He leads the Smart Wireless Systems (SWS) research group and serves as the scientific leader of the IoT Lab at NTNU Gjøvik. Educational Background: PhD in Information Security from NISLab (Norway) and CASED (Germany) BSc and MSc in Informatics from DTU (Denmark) His research interests span smart wireless systems, Internet of Things (IoT), information security with a focus on biometric authentication, digital electronics, applied machine learning for activity recognition, and e-learning technologies. His work integrates cybersecurity, embedded systems, and data science to develop secure and intelligent IoT solutions for real-world applications. The recent publications highlight a strong trend in mmWave-based sensing for unmanned aerial systems, RF fingerprinting for secure identification, IoT security frameworks, and machine learning applications in education and human resource analytics. His research bridges theoretical innovation with practical implementation, particularly in smart cities, healthcare, and transportation. Scientific Awards and Recognition: Invitation to the Crown Prince and Princess's 50th birthday celebration, 2023 Study Quality Award, NTNU, 2017 Norway’s Youngest Professor Award, 2016 Denmark’s youngest M.Sc. engineering award, 2009 IEEE Commendation for Young Professionals Volunteer, 2011 Multiple best paper awards from IEEE, ACM, and Springer Mohammad Derawi has been involved in several funded research and development projects, including IoT Safetraffic (RFF Inland), Ambulance Drone (NTNU Vice-Rector), Wireless ECG (Innovation Norway), biometric handgun security (RFF Innlandet), and the EU Framework 7 TURBINE project. He mentors students and collaborates with international researchers, contributing significantly to both academic and applied domains. His leadership in the SWS group and IoT Lab fosters innovation in wireless and secure embedded systems. He is actively engaged in laboratory and team-based research, particularly through the Smart Wireless Systems group and the IoT Lab, focusing on developing secure, intelligent, and scalable solutions for next-generation wireless applications.