جست‌وجوی استاد و پژوهشگر

James Lawمشاهده پروفایل

پژوهشگر

• Human-Robot Collaboration
• Trustworthy Autonomous Systems
• Responsible Innovation
• +۳ مورد دیگر

Dr. James Law serves as a Senior Experimental Officer at Sheffield Robotics and leads the Collaborative Robotics Group within the School of Computer Science at the University of Sheffield. He holds a joint appointment between the Department of Computer Science and the Advanced Manufacturing Research Centre, and serves as Director of Innovation and Knowledge Exchange at Sheffield Robotics. His work integrates academic research with industrial applications in advanced manufacturing. His research focuses on human-robot collaboration, trustworthy autonomous systems, and responsible innovation in manufacturing robotics. Law develops safety assurance frameworks and digital twinning solutions for collaborative workspaces, with particular emphasis on trust engineering, user authentication, and graphical communication systems that reduce human anxiety in robot co-working environments. His interdisciplinary approach bridges computer science, engineering psychology, and industrial implementation requirements. Law's publication portfolio demonstrates consistent advancement in collaborative robotics safety, with recent work (2022-2024) focusing on verified safety controllers, digital twin frameworks, and trust modeling in human-robot triads. His research shows progression from foundational developmental robotics (2010-2015) toward applied industrial solutions, with increasing emphasis on security, safety assurance, and human factors in manufacturing contexts. As an active science communicator, Law serves on the UK Robotics and Autonomous Systems network (UK-RAS) management board and the EPSRC Early Career Forum in Manufacturing Research. EPSRC STAMAN: Robotic skill transfer for manufacturing (Co-PI, £1M+) Horizon Europe OpenSwarm: Energy-aware swarm orchestration (Co-PI, £463k) EPSRC Security of Digital Twins in Manufacturing (Co-PI, £775k) EPSRC UKRI Trustworthy Autonomous Systems Node (Co-PI, £3M) Law leads the Collaborative Robotics Group and contributes to the Complex Systems Modelling research group, focusing on translating theoretical safety frameworks into practical industrial implementations through close collaboration with manufacturing partners and policy stakeholders.

Mario Selvaggioمشاهده پروفایل

استادیار

• Shared control/autonomy
• Robot teleoperation
• Passivity-based control
• +۷ مورد دیگر

Mario Selvaggio is an Assistant Professor at the Department of Electrical Engineering and Information Technology, University of Naples Federico II. He actively contributes to robotics research through his involvement with PRISMA Lab and ICAROS , while co-founding spinoff companies BeyondShape and Herobots . His academic background includes a Ph.D. in Information Technology and Electrical Engineering (2020) under Prof. Bruno Siciliano, with previous degrees in Mechanical Engineering (2013, 2015). Ph.D. in Information Technology and Electrical Engineering (2020) Bachelor's and Master's in Mechanical Engineering (2013, 2015) His research interests focus on shared control/autonomy, robot teleoperation, passivity-based control, soft robotics, and robotic surgery. He has developed innovative solutions including: Shared-control teleoperation for soft growing robots Non-prehensile object transportation frameworks Advanced modeling of cable-suspended dual-arm systems Medical robotics with force-sensor equipped tools Virtual reality-based teleoperation architectures Recent publications (2021-2025) span topics from semi-autonomous aerial manipulation to cyber-physical measurement systems, with emphasis on human-robot interaction and industrial applications. He serves as Associate Editor for several IEEE conferences and journals. Scientific Awards IEEE RAS Technical Committee on Haptics grant ($2500, 2018) Second prize at Bioengineering Congress (2018) Finalist for 'Fabrizio Flacco' Best Paper Award (2020) Prof. Selvaggio teaches the Master's Course in Automation Engineering and Robotics (2024/2025) using Robot Operating System (ROS) curriculum. He actively collaborates with international research groups at IRISA/INRIA Rennes , Rainbow team , and University of California Santa Barbara (mechanical engineering department). His research combines theoretical advancements with practical implementations, demonstrated through extensive validation in simulated environments and real robotic platforms including KUKA LWR IIWA manipulators, dVRK systems, and humanoid platforms.

Mario Günzelمشاهده پروفایل

پژوهشگر

• Real-Time Systems
• Embedded Systems
• Self-Suspension
• +۴ مورد دیگر

Mario Günzel is a Researcher at the Department of Computer Science, Faculty of Computer Science at Technical University of Dortmund, where he works in the Design Automation for Embedded Systems research group under Prof. Dr. Jian-Jia Chen. Having completed his PhD in 2024 with a dissertation on property-based timing analysis of distributed real-time systems, he has established himself as a leading researcher in real-time systems with over 30 publications and multiple prestigious awards including Best Paper Awards at ECRTS 2023 and EMSOFT 2024, as well as an Outstanding Paper Award at RTSS 2024. PhD in Computer Science, Technical University of Dortmund (2024) M.Sc. in Mathematics, University of Duisburg-Essen (2019) B.Sc. in Mathematics, University of Duisburg-Essen (2017) Günzel's research focuses on the theoretical and practical aspects of real-time systems, particularly in self-suspending tasks and end-to-end latency analysis of cause-effect chains. His work bridges formal methods with practical applications in embedded systems, automotive systems, and robotics. He has developed evaluation frameworks like SSSEvaluation and E2EEvaluation that have become important tools in the real-time systems community. His research demonstrates exceptional depth in both theoretical foundations and practical implementations, with significant contributions to scheduling algorithms, timing analysis, and real-time operating systems. The recent publication trend shows Günzel's expanding research scope from core real-time scheduling problems to applications in automotive systems, electric vehicle scheduling, and ROS 2 integration. His work consistently addresses fundamental challenges in real-time systems while developing practical solutions with real-world applicability. The publications reveal a strong focus on eliminating timing anomalies, optimizing priority assignments, and developing distribution-agnostic analysis methods that advance the theoretical foundations of real-time systems. Outstanding Paper Award at IEEE RTSS (2024) Best Paper Award at ACM EMSOFT (2024) Best Paper Award at ECRTS (2023) Outstanding Bachelor Thesis Award (2017) UDE Scholarship (2014-2019) Günzel actively supervises bachelor's and master's theses, with recent completed works including 'Odometry and IMU Fusion for Pose Estimation' and 'Evaluation Framework for End-to-End Analysis'. He has served in various organizational roles for major conferences including Publicity Co-Chair for RTSS 2025 and Publicity Chair for ECRTS 2025. His service to the community extends to editorial roles for journals including Real-Time Systems Journal and ACM Transactions on Embedded Computing Systems. Under Günzel's supervision, the research group maintains important open-source tools including SSSEvaluation (Evaluation Framework for Schedulability of Self-Suspending Tasks) and E2EEvaluation (Evaluation Framework for End-to-End Latency of Cause-Effect Chains), which have been adopted by researchers worldwide. He is also involved in collaborative projects with institutions including Scuola Superiore Sant'Anna in Pisa (planned research stay Feb-Apr 2025) and Eindhoven University of Technology.

Anis Koubâaمشاهده پروفایل

استاد

• Real-Time Systems
• Quality of Service (QoS)
• Wireless Sensor Networks
• +۴ مورد دیگر

Anis Koubâa is a Professor at the Department of Electrical Engineering and Computers, Instituto Superior de Engenharia do Porto (ISEP), part of the Polytechnic Institute of Porto (IPP). He is a core member of the CISTER Research Centre, focusing on real-time systems, quality of service, wireless sensor networks, and cyber-physical systems. He holds a PhD in Computer Science from the National Polytechnic Institute (INPL, France), a Master’s from University of Nancy I, and a Telecommunications Engineering degree from Sup’Com Tunisia. His postdoctoral research at CISTER (2005–present) concentrated on real-time aspects of wireless sensor networks. Research interests span cooperative autonomous driving, drone networks, edge computing, and secure communication protocols. He has published extensively on topics like vehicular platooning, real-time QoS monitoring, and cloud-edge architectures for AI applications. His work integrates robotics (ROS frameworks), network protocols (IEEE 802.15.4e), and safety-critical systems. Over 100 papers in journals/conferences and co-authored books on ROS and cyber-physical systems demonstrate his leadership in these areas. Current projects include COPADRIVe (cooperative driving simulation), COPA-Drive (platooning validation), and secure architectures for autonomous systems. He leads the RIOTU-Lab for IoT and robotics research, emphasizing practical applications in disaster management, UAV coordination, and smart city infrastructure.

• Virtual Reality (VR)
• Augmented Reality (AR)
• Mixed Reality Training
• +۷ مورد دیگر

Christian Schönauer is a PostDoc Researcher at TU Wien's Department of Virtual and Augmented Reality. His work focuses on advanced AR/VR applications in emergency response training, construction quality assurance, and healthcare rehabilitation. He leads the BIMCheck project (2021–2024), developing smart BIM-real building comparison systems. Notable research includes immersive training systems for first responders, wireless VR platforms like ImmersiveDeck, and AR frameworks for distributed collaboration. Education: PhD in Computer Science (2015, TU Wien) and MSc in Technical Mathematics. His projects have been funded by FFG (Austrian Research Promotion Agency), OEAD, and EU Commission grants. Research highlights include: Development of photogrammetry-based autonomous robots for 3D reconstruction Integration of BIM models with AR for construction site inspections VR training systems for CBRN defense and fire brigade operations Human-robot interaction studies in hazardous environments He has supervised 12 diploma theses on topics ranging from laser tracking systems to motion capture rehabilitation tools. Active in international conferences like IEEE VR and ISMAR, his work bridges academic research with practical industry applications in construction safety and emergency preparedness.

Gianluca CAIAZZAمشاهده پروفایل

پژوهشگر

• Cybersecurity
• Robotics
• Software Engineering
• +۳ مورد دیگر

Gianluca Caiazza is a Researcher at the Department of Environmental Sciences, Computer Science and Statistics at Ca' Foscari University of Venice. He is affiliated with the Research Institute for Complexity and the Temporary Center for the Innovation Ecosystem Project. His work focuses on cybersecurity within robotics and software systems, particularly in the Robot Operating System (ROS) framework. He teaches courses such as 'Operating Systems - MOD.1' and 'Software and System Verification' at both undergraduate and doctoral levels. His research interests span cybersecurity for robotic systems, static analysis techniques, blockchain applications in robotics, and secure middleware development. He has conducted extensive work on enhancing ROS security through tools like SROS2 and static analysis frameworks like LiSA, addressing vulnerabilities in DDS systems and penetration testing methodologies. Caiazza's recent publications emphasize automated policy extraction, microservice security, and IIoT system scalability. His work bridges theoretical computer science with practical applications in robotics, contributing to both academic journals and industry-oriented conferences. He collaborates actively with institutions like IEEE and Springer, focusing on advancing secure robotic technologies. His teaching activities include laboratory modules for software project development and advanced verification techniques for software systems. Despite no listed awards, his contributions to ROS security frameworks are recognized within academic and industrial robotics communities.

Li Baiمشاهده پروفایل

استاد

• Distributed Software Computing
• Wireless Sensor Networks
• System and Software Integration
• +۷ مورد دیگر

Li Bai is a tenured Professor and Chair of the Department of Electrical and Computer Engineering at the College of Engineering, Temple University. His work bridges computer engineering and interdisciplinary medical imaging applications. His research interests include: Distributed Software Computing Wireless Sensor Networks System and Software Integration using Commercial-Off-the-Shelf (COTS) products Computer Network Security Robotic Operating System (ROS) Drone and Multi-Agent Systems Recent publications demonstrate a strong trend in applying deep learning to enhance biomedical imaging techniques, particularly in MRI-based perfusion and metabolic imaging. This reflects a growing interdisciplinary focus on medical data processing and AI-driven diagnostics. Dr. Bai leads the Computer Fusion Lab and has been involved in sponsored research projects involving portable wireless devices and 802.11 protocols. He was a core organizer of the 8th International Conference on Information Fusion (2005). He teaches undergraduate courses such as Digital Circuit Design, Robotic Control using ROS, and Processor Systems Laboratory. He has published over 60 peer-reviewed papers in international journals and conferences.

Thejasvi Beleyurمشاهده پروفایل

استاد پژوهشی

• Animal Behavior
• Sensory Biology
• Collective Behavior
• +۴ مورد دیگر

Dr. Thejasvi Beleyur is a Group Leader of the Active Sensing Collectives Lab at the Centre for the Advanced Study of Collective Behaviour, University of Konstanz, and holds an affiliated position at the Max Planck Institute of Animal Behavior. She also serves as IMPRS Faculty, contributing to interdisciplinary research at the intersection of animal behavior, sensory biology, and collective systems. Current: Group Leader, Active Sensing Collectives Lab (2025-present) Previous: Postdoc at Centre for the Advanced Study of Collective Behaviour (2021-2025) PhD: Max Planck Institute for Ornithology (2015-2021) Education: BS-MS in Biological Sciences, IISER-TVM (2008-2013) Dr. Beleyur's research program investigates how active-sensing agents like echolocating bats navigate complex sensory environments when operating in groups. Her work combines field observations, computational modeling, and swarm robotics to understand the sensorimotor strategies animals employ in information-limited settings. She has pioneered the development of the Ushichka dataset—a multichannel audio-video system for recording echolocating bats in natural habitats—which provides unprecedented insights into how bats modify flight and echolocation behaviors as group sizes change. Her publication record reveals a consistent trajectory examining sensory challenges in collective animal systems, with emphasis on echolocating bats. The research spans experimental field work, computational modeling, and methodological innovations in acoustic and video tracking. Recent work has expanded into developing computational tools like the beamshapes Python package for sound source modeling and exploring robot platforms to simulate bat collective behavior. Carl-Zeiss Nexus grant for inter-disciplinary research (2025) DFG Walter Benjamin postdoc grant (2021-2023) Early Career Researcher Award at International Bioacoustics Congress Google Cloud Platform Research Credits award ($1000) DAAD-GSSP Stipend for doctoral studies (2015-2020) Dr. Beleyur actively mentors students in her lab, currently supervising PhD student Frithjof and Master's student Aditya, following the completion of Gabriele's Master's thesis on the active-sensing Ro-BAT platform. Her research program is supported by competitive grants including the Carl-Zeiss Nexus grant and previously the DFG Walter Benjamin fellowship, which funded her work on 'The How and What of Active Sensing Collectives.' The Active Sensing Collectives Lab brings together an interdisciplinary team working at the interface of sensory biology, robotics, and collective behavior. The lab develops novel computational methods for analyzing complex datasets from multi-sensor field recordings, with emphasis on creating tools for long-term community use. Current projects include characterizing echolocating groups in the field and studying sensorimotor strategies using computational modeling.

Nikos Tsourveloudisمشاهده پروفایل

استاد

• Field Robotics
• Computational Intelligence
• Production Systems Modeling and Control
• +۳ مورد دیگر

Nikos Tsourveloudis is a Professor of Manufacturing Technology at the School of Production Engineering and Management, Technical University of Crete. He leads the Intelligent Systems & Robotics Laboratory and the Machine Tools Laboratory. His research focuses on autonomous robotics, field robotics, and computational intelligence, with over 100 publications in these areas. He has been honored with awards such as the 3rd EURON/EUROR Robotic Technology Transfer Award (2009) and multiple ADAC Safety Awards (2010, 2011, 2016, 2017). His work integrates robotics, manufacturing systems, and energy efficiency, with applications in electric vehicles and UAV missions. Academic roles include editorial positions in journals and leadership in professional organizations like the Hellenic Association of Industrial Engineers. Education: Diploma in Production and Management Engineering (1990), Technical University of Crete PhD in Production and Management Engineering (1995), Technical University of Crete Research Interests: Autonomous navigation of field robots, computational intelligence, production systems modeling/control, and energy-efficient robotics. His labs develop cutting-edge solutions like the TUCer low-consumption vehicle prototype and advanced path-planning algorithms for UAV swarms. Awards: 3rd EURON/EUROR Robotic Technology Transfer Award (2009) 1st ADAC Safety Award (2010, 2011, 2016, 2017) Advising & Grants: His research has been funded by public/private partnerships. Notable projects include energy management systems for hybrid vehicles and swarm-based UAV missions. Collaborations bridge academia and industry, driving innovations in manufacturing and autonomous systems. Labs & Teams: Leads two major research groups: the Intelligent Systems & Robotics Lab and the Machine Tools Lab, focusing on robotics, control systems, and sustainable manufacturing technologies.

• Machine Learning
• Computer Vision
• Robotics
• +۵ مورد دیگر

Roberto Javier López Sastre is an Associate Professor of Signal Theory and Communications at the University of Alcalá. He holds a Ph.D. from the same institution (2010), focusing on 'Visual vocabularies for category-level object recognition' under Dr. Saturnino Maldonado Bascón's supervision. His research spans machine learning, computer vision, robotics, and astrophysics. Key areas include Bayesian neural networks for stellar dating, semantic navigation in robotics, and AI-driven medical assistive technologies. Affiliation: Department of Signal Theory and Communications, University of Alcalá Research Group: GRAM (Multisensorial Recognition and Analysis Group) His work interfaces computational methods with real-world applications, such as assistive robotics for neurodevelopmental disorder patients and deep learning models for astrophysical parameter estimation. Recent contributions include semantic segmentation-driven navigation systems and Bayesian approaches to black hole solutions. Publications emphasize interdisciplinary applications of AI, including live video processing, continual learning frameworks, and physics-informed neural networks. Ongoing research explores the intersection of robotics, healthcare, and astrophysics through collaborative projects. López Sastre's GRAM group focuses on multisensory data analysis for recognition and navigation challenges. His technical expertise spans signal processing, probabilistic modeling, and embedded AI systems.

George Tsinarakisمشاهده پروفایل

مدرس

• Production Systems
• Petri Nets
• Hybrid Systems
• +۵ مورد دیگر

George Tsinarakis is a Lecturer at the School of Production Engineering and Management, Technical University of Crete. He holds a Diploma (2000), MSc (2002), and PhD (2007) from the same institution. His roles include teaching undergraduate courses (Simulation, Production Systems), co-supervising theses, and participating in research projects. He also serves as Adjunct Professor at Hellenic Open University (Engineering Project Management postgraduate program) and teaches Operations and Production Management at University of the Aegean. His research focuses on Production Systems, Petri Nets, Hybrid Systems, Renewable Energy, and Project Management. Education: Diploma in Production Engineering and Management (2000) MSc (2002) PhD (2007) Research emphasizes Petri Nets for process modeling, Hybrid Systems integration, and Renewable Energy applications. He contributes to digital twin frameworks for industrial systems and STEM education tools like HYDRA. His work spans simulation methodologies, supervisory control, and lifecycle analysis of energy systems. Teaching and advising includes undergraduate thesis co-supervision and involvement in European/Greek research projects. He evaluates EYDE-ETAK initiatives and reviews for international conferences/journals. Active in labs: Production Systems Laboratory and Computer Aided Manufacturing Laboratory.

Serhat İkizoğluمشاهده پروفایل

استاد

• Vestibular System
• System Disorders
• Inertial Measurement Units
• +۴ مورد دیگر

Professor Serhat İkizoğlu is a faculty member in the Department of Control and Automation Engineering at Istanbul Technical University. His research focuses on biomedical engineering applications, robotics control systems, and sensor technology. He has led projects including the 'Dinamik Vestibüler Sistem Analiz Algoritması Geliştirilmesi Ve Denge Tespit Cihazı Tasarımı' funded by TUBITAK (2015-2018). His work combines reinforcement learning, signal processing, and clinical diagnostics. Notable contributions in vestibular system disorder diagnosis using multifractal analysis and inertial measurement units Pioneering work on Stewart platform control using ROS/Gazebo simulations Expertise in electromagnetic compatibility antenna calibrations in non-ideal environments He has received prestigious awards including the 1st R&D Market Incentive Award (2014) and Second Best Paper Award (2017). Current research emphasizes biomedical signal processing and robotics control systems integration.

Christian Meltebrinkمشاهده پروفایل

استاد

• Intelligent sensor systems
• Physics
• Automated and autonomous agricultural systems
• +۱۲ مورد دیگر

Prof. Dr.-Ing. Christian Meltebrink is a faculty member at the Faculty of Engineering and Computer Science , Osnabrück University of Applied Sciences. His research focuses on intelligent sensor systems , autonomous agricultural machinery , and safe environmental perception for outdoor robotics. Key research areas include: Validation methodologies for sensor systems in variable conditions Humanoid test bodies for autonomous vehicle safety Reproducible simulation of agricultural interference factors Embedded systems for field robots Optoelectronic sensor technology Recent publications address sensor validation for autonomous machines, with emphasis on detection reliability and environmental perception . His work integrates CCD/CMOS imaging , spectral analysis , and sensor fusion for agricultural applications. As head of the Laboratory for Intelligent Sensor Systems (located in buildings SO and SP, Sedanstraße 26, Osnabrück), he leads projects like "Amaizeing" field robot and high-speed sensor chip development . Collaborative efforts extend to industry partners (e.g., SICK AG) and institutions like Technische Universität Berlin. Teaching responsibilities include Physics I/II and Sensor Systems for engineering students. His laboratory delivers hands-on research opportunities in imaging technology , autonomous systems , and embedded sensor solutions .

• Human-Robot Interaction (HRI)
• Cognitive Ergonomics
• Eye-Tracking Technology
• +۳ مورد دیگر

Dr. Erik Billing is a researcher at the University of Skövde , actively contributing to the School of Informatics and affiliated with the Interaction Lab (ILAB) . His work focuses on human-robot interaction (HRI), cognitive ergonomics, and extended reality (XR) applications in industrial and educational contexts. Research Pillars : Human-Robot Interaction, Cognitive Ergonomics, Eye-Tracking, Virtual/Augmented Reality, Digital Human Modeling Key Projects : RO-LIV (social robots for elderly), EWASS (industrial HRI), OKAVIM (XR competency) Funding : Supported by AFA Insurance and Vinnova grants His recent work includes investigating body language in social robots, expectation formation in HRI, and gaze-based worker behavior prediction. Dr. Billing serves as editor for SweCog conference proceedings and contributes to VR/XR motor learning research.

• Software engineering for safety critical systems
• Formal methods
• Real-time systems
• +۵ مورد دیگر

Ana Cavalcanti is a Professor of Computer Science at the University of York, UK. Her research focuses on formal methods for safety critical systems, particularly in robotics and real-time software. She leads the SER research group and has secured major funding from EPSRC and the European Commission. Education 1987 - BSc in Computer Science, Universidade Federal de Pernambuco, Brazil 1990 - MSc in Computer Science, Universidade Federal de Pernambuco, Brazil 1997 - DPhil in Computer Science, Oxford University Her work bridges formal verification, concurrency, and object-orientation, with recent projects like RoboSapiens and DOMINOS addressing trustworthy autonomous systems. She has published extensively on robotic controller verification, adaptive architectures, and ethical requirements for AI. Selected scientific accolades include the Royal Society Wolfson Research Merit Award and a Royal Society Industry Fellowship. She has held academic positions at Universidade Federal de Pernambuco (1997-2002) and the University of Kent (2002-2004) before joining York in 2004.