جست‌وجوی استاد و پژوهشگر

Dana Kulicمشاهده پروفایل

استاد

• Human-Robot Interaction
• Robot Learning
• Human Motion Analysis
• +۳ مورد دیگر

Dana Kulic is a Professor in the Department of Electrical and Computer Systems Engineering at Monash University. She is also a Global Innovation Research Visiting Professor at the Tokyo University of Agriculture and Technology and the August-Wilhelm Scheer Visiting Professor at the Technical University of Munich. Her research focuses on developing autonomous systems for human-robot interaction (HRI), emphasizing safety, continuous learning from demonstrations, and rehabilitation technology. She co-founded the Adaptive Systems Lab at the University of Waterloo and co-led the NSERC Canadian Robotics Network. Her work addresses challenges in collaborative robotics, including safety quantification, non-expert learning, and rehabilitation applications. Projects include 'Natural Interaction Strategies for Long-Term Robot Use for Elderly Care' and 'Intelligent Robotics for Pharmaceutical Formulation Development.' Key research interests include human motion analysis, robot learning, and HRI. Recent studies explore auditory assistance for gait modification, contingent autonomy in uncertain environments, and multimodal communication for multi-robot systems. Her contributions align with UN Sustainable Development Goals, particularly in healthcare and innovation. Dr. Kulic has led multiple industry-collaborative grants, such as strategic projects in collaborative assembly and rehabilitation automation. She actively participates in interdisciplinary initiatives, including public engagement through events like 'Living with Robots' and media contributions on robotic limitations. Her laboratories, including the Waterloo Robohub, focus on advancing robotic capabilities through experimental methodologies and ethical frameworks. Current projects emphasize adaptive systems, shared autonomy, and robotic applications in healthcare and industrial settings.

Jonas Kucklingمشاهده پروفایل

پژوهشگر ارشد

• Artificial Life
• Swarm Robotics
• Artificial Intelligence
• +۳ مورد دیگر

Jonas Kuckling is a postdoctoral researcher at the Department of Computer and Information Science, University of Konstanz, and a fellow at the Zukunftskolleg. His research focuses on artificial life and swarm robotics, particularly open-endedness in embodied collectives, integrating disciplines including biology, chemistry, physics, computer science, philosophy, and art. Dr. Kuckling obtained his doctoral degree in April 2023 from the Artificial Intelligence research laboratory (IRIDIA) at the Université Libre de Bruxelles, Belgium. His doctoral work established foundations for his current investigations into emergent collective behaviors in robotic systems. His primary research interests center on artificial life and swarm robotics, with emphasis on open-ended evolution in embodied collectives. He explores how interdisciplinary approaches can generate autonomous systems capable of continuous novelty without external direction, bridging computational models with biological principles of self-organization and adaptation. This work addresses fundamental challenges in scalability, robustness, and emergent complexity in multi-robot systems. Analysis of his recent publications reveals a concentrated focus on automatic modular design of robot swarm control software, particularly through behavior trees and optimization techniques like simulated annealing. His work progresses from theoretical frameworks (e.g., manifestos on off-line design) to practical implementations (AutoMoDe tools), with increasing integration of learning, communication, and edge computing in large-scale swarm deployments. No scientific awards are documented in available sources. Dr. Kuckling currently leads an interdisciplinary research project at the Zukunftskolleg, collaborating with experts in complex systems, artificial life, AI, and robotics to advance open-endedness in embodied collectives. No information is available regarding student advising or specific grant funding beyond his fellowship appointment.

Rasoul Sadeghianمشاهده پروفایل

پژوهشگر

• Soft Robotics
• Deep Learning
• Control Systems
• +۳ مورد دیگر

Rasoul Sadeghian is a Researcher at the Royal College of Art (RCA), specializing in robotics and autonomous systems since 2019. He holds an MSc in Mechatronics Engineering (Islamic Azad University, 2015) and a BSc in Applied Mathematics (Vali E Asr University, 2012). Prior to RCA, he served as a Research Fellow/Instructor at Tehran University's TaarLab (2013–2018) and Senior Researcher at INGV Co., Italy (2018–2019). His research focuses on Soft Robotics, Deep Learning, and Control Systems , with an emphasis on autonomous systems for extreme environments. He leads the MIMRee project , developing robotic solutions for offshore wind turbine inspection and repair. His work integrates vision-based control, adaptive gripping, and decision-making algorithms for robotics. Rasoul has published extensively on topics including robotic anchoring systems, telerobotics, and AI-driven medical imaging. His expertise spans robotics hardware design, simulation (ROS/Gazebo), and machine learning applications in automation. Current affiliations include the RCA Robotics Laboratory and contributions to the Multi-Platform Inspection Maintenance & Repair In Extreme Environment (MIMRee) initiative. His research bridges theory and practice, addressing challenges in robotics for renewable energy and industrial maintenance.

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

Pedro Alfonso Revenga de Toro is an Associate Professor at the Department of Electronics of the Universidad de Alcalá. His research focuses on robotics, autonomous systems, computer vision, and real-time embedded systems. He holds a Ph.D. from Universidad de Alcalá with a thesis on real-time image processing architectures (2017), supervised by Dr. José Luis Lázaro Galilea and Dr. Alfredo Gardel Vicente. His work integrates advanced AI techniques like deep learning and reinforcement learning into autonomous vehicle systems, emphasizing safety and efficiency. He leads the Robesafe research group, dedicated to service robotics and road safety technologies. Key research areas include autonomous driving decision-making, 3D object detection in dynamic environments, and energy-efficient embedded systems. His contributions span both theoretical advancements (e.g., GAN-based driver attention models) and practical implementations (e.g., ROS-based autonomous vehicles). He has developed educational robotics workshops (Depecabot) to enhance student engagement in electronics and robotics. His publications address challenges in sensor fusion, path planning, and real-time positioning systems for autonomous applications. No scientific awards or grants are explicitly listed, but his extensive publication record reflects sustained contributions to robotics and transportation engineering since the 1990s. His work bridges academic research and real-world applications, particularly in improving road safety and vehicle automation.

• Automation
• Industrial Informatics
• Industrial Cyberphysical Systems
• +۵ مورد دیگر

Jose Martinez Lastra is a Professor at Tampere University's FAST-Lab, within the Faculty of Engineering and Natural Sciences. His primary research focuses on Automation, Industrial Informatics, Robotics, and Artificial Intelligence, with application domains in Factory Automation, Healthcare Automation, and Smart Mobility. He leads the FAST-Lab, advancing industrial cyberphysical systems and human-robot collaboration. Education & Background: PhD in Automation Technology (not explicitly stated, inferred from role). Research Interests: Prof. Martinez Lastra explores cutting-edge topics such as: Advanced robot manipulation for deformable objects. AI-driven quality inspection in manufacturing. Human-centric automation in Industry 5.0. Integration of digital twins and semantic AI. Sustainable industrial cyber-physical systems. Publications Trends: His recent work emphasizes: Human-robot collaboration safety and validation. Robotics in food and healthcare sectors. Data-driven fault detection in power systems. LLM applications in industrial contexts. Advising & Projects: Advised students on digital twin development, robotic systems, and manufacturing integration. Leads projects like FASTory digital twin initiatives. Labs & Teams: He directs the FAST-Lab, a hub for automation innovation focusing on factory automation, smart robotics, and Industry 4.0 solutions.

• Robotics
• Control Systems
• Cyber-Physical Systems
• +۴ مورد دیگر

Tomasz Winiarski is an Assistant Professor at the Institute of Control and Computation Engineering, part of the Faculty of Electronics and Information Technology at Warsaw University of Technology. His research focuses on robotic systems design, control systems engineering, and cyber-physical systems. He has contributed to projects involving ROS-based robotic frameworks, SysML metamodeling, and assistive robotics applications. Education: PhD in Automation and Robotics (2009). Research interests include: Robot Operating System (ROS) and metamodeling frameworks Impedance-controlled manipulators and human-robot interaction Cyber-physical systems design and validation Multi-agent robotic systems and task scheduling Awards include the Rector's Award for Scientific Achievements (2015) and the Medal of the National Education Commission (2018). He has published extensively on topics ranging from robotic control architectures to hardware-software co-design strategies. Key projects include the development of the MeROS metamodel, the Rico assistive robot platform, and the TaskER scheduling framework. His work emphasizes practical applications of robotics in industrial and healthcare contexts.

• Mechatronics
• Robotics
• Autonomous Systems
• +۳ مورد دیگر

Ilya Tyapin is an Associate Professor at the Department of Engineering Sciences , University of Agder. His work focuses on mechatronics, robotics, and autonomous systems with applications in battery recycling, flexible manipulators, and industrial automation. Research Interests: Tyapin investigates motion control for robotic systems, dynamic modeling of flexible manipulators, and sensor fusion techniques. His research enables technologies for energy storage applications and sustainable manufacturing. Notable Projects: RESTORE: Automated sorting and pre-processing of end-of-life batteries for high-purity material reuse Robotic disassembly systems for electric vehicle battery packs Flexible manipulator control with redundancy resolution Key Collaborations: Tyapin works with researchers from Norwegian University of Science and Technology, ABB, and Luleå University of Technology on offshore robotics and mechatronic design optimization. Teaching: He teaches courses in hydraulics, industrial robots, electric drives, and product development at both undergraduate and graduate levels.

• Robotics
• Autonomous Systems
• Machine Vision
• +۵ مورد دیگر

Angelos Plastropoulos is a Lecturer in Automated Inspection and Diagnostics at Cranfield University's Centre for Autonomous and Cyberphysical Systems, within the School of Aerospace, Transport and Manufacturing. With 24 years of experience in software engineering, he specializes in robotics applications, particularly the Robot Operating System (ROS), and leads research in autonomous inspections for aerospace and industrial sectors. His roles include Deputy Course Director for the MSc program and Lab Manager for Automated Diagnostics and Robotics facilities. Research Focus: Plastropoulos investigates robotics, autonomous systems, and machine vision for non-destructive testing (NDT) in high-risk environments like offshore wind farms and aircraft hangars. His work emphasizes sensor fusion, defect detection, and structural health management, with applications in sustainable aviation and predictive maintenance. Publication Trends: His recent articles (2023–2025) focus on machine learning-enhanced aircraft inspections, ROS-based navigation, and digital twin technologies. Key themes include obstacle avoidance algorithms, thermographic defect detection, and smart hangar automation, reflecting a multidisciplinary integration of robotics, computer vision, and aerospace engineering. Awards: Associate Fellow of Advance Higher Education (2023) Leadership & Projects: He has managed 27 R&D projects, secured $20M in funding for Epic Health, and collaborates with industry partners like Boeing, BAE Systems, and Safran. His labs focus on autonomous diagnostics, and he mentors engineers in robotics and software architecture.

Luong Nguyenمشاهده پروفایل

دانشیار

• Robotics
• Robot Operating System (ROS)
• Manipulator Kinematics and Dynamics
• +۴ مورد دیگر

Dr. Luong Nguyen is an Associate Professor of Computer Engineering at the University of Houston-Clear Lake (UHCL), part of the College of Science and Engineering. He holds a Ph.D. in Electrical and Computer Engineering from Rice University, with additional master's degrees from University of Houston-Clear Lake and the University of Washington. With over 20 years of experience, he specializes in space robotics, contributing to NASA's Space Shuttle and Space Station Remote Manipulator Systems at Johnson Space Center. He currently serves as Vice Chair of the Robotics and Automation Section of the IEEE Galveston Bay Chapter. Dr. Nguyen has led UHCL student teams in prestigious competitions like the NASA Swarmathon Robotics Competition (2016-2019) and the NASA Space Robotics Challenge (2019-2020), winning multiple awards. His research focuses on robotics and automation, including inverse kinematics, swarm robotics, computer vision, and parallel processing algorithms. He teaches courses such as Robotics and ROS (CENG 5435) and Foundations of Robotics (CENG 6533) at the graduate level. His work bridges academic research and industry applications, emphasizing collaborative robotics and space exploration technologies. His recent publications explore particle swarm optimization for robot kinematics and multibody dynamics in space systems.

• Embedded Systems
• Real-Time Systems
• Cyber-Physical Systems
• +۳ مورد دیگر

Marco Caccamo is an Adjunct Professor at the University of Illinois at Urbana-Champaign (UIUC) and holds a courtesy appointment in the Coordinated Science Lab and Department of Aerospace Engineering. He earned a Ph.D. in Computer Engineering from Scuola Superiore Sant'Anna (Italy) in 2002. His research focuses on embedded systems, real-time computing, and cyber-physical systems, with applications in avionics, automotive systems, and UAVs. He is a recipient of the IEEE Fellow (2018) and Alexander von Humboldt Professorship (2018). He has chaired major conferences such as RTSS and RTAS and served as General Chair of CPSWeek 2011. His work includes contributions to real-time scheduling, multicore resource management, and reinforcement learning for autonomous systems. Current research highlights include sandboxing AI-based controllers and 6D pose estimation for robotic systems. He leads the Real-Time and Embedded System Laboratory and collaborates with industries to develop innovative software architectures for embedded systems.

• Cloud Computing
• Distributed Systems
• Network Functions Virtualization (NFV)
• +۷ مورد دیگر

Prof. Dr. Thomas Michael Bohnert is a faculty member at ZHAW School of Engineering, specializing in distributed systems and cloud computing. He has led multiple projects including: Bringing FIWARE to the NEXT step (completed), Enterprise Cloud Robotics Platform (completed), Apache Cloudstack for NFV (completed), Solidna cloud storage (completed), T-NOVA NFV services (completed), and Mobile Cloud Network (completed). Research Focus: Cloud robotics Network Functions Virtualization (NFV) Software-Defined Networking (SDN) Mobile cloud networking Resilient cloud systems Energy-efficient cloud platforms Publications Trends: His work spans 2012-2024 with consistent focus on cloud-native application design, NFV orchestration, SDN implementation, and mobile cloud integration. Key themes include self-managing systems, distributed computing frameworks, and infrastructure optimization. Collaborations: Frequently collaborates with Andrew Edmonds, Giovanni Toffetti Carughi, Piyush Harsh, and Sandro Brunner across EU projects and industry partnerships.

• Robotics
• Artificial Intelligence
• Human-Robot Interaction
• +۳ مورد دیگر

Dr. Robert Haschke serves as a Professor and Responsible Investigator in the Cognitive Systems and Social Interaction Group at Bielefeld University's Faculty of Engineering. He is affiliated with the Center for Cognitive Interaction Technology (CITEC) and serves on the Examination Board for the Intelligent Interactive Systems Master's program. His office is located at CITEC 2-035, and he can be reached at rhaschke@techfak.uni-bielefeld.de or +49 521 106-12122. Professor Haschke's research spans multiple domains of robotics and artificial intelligence, with particular emphasis on tactile sensing systems, robotic manipulation, and human-robot interaction. His work explores advanced methods for enabling robots to perceive their environment through touch, with applications in assistive robotics and industrial automation. He investigates how machines can learn from human interactions and adapt their behavior through reinforcement learning and sensor fusion techniques. His research bridges theoretical advances with practical implementations, focusing on transferring knowledge from simulation to real-world robotic systems. Analysis of Professor Haschke's recent publications reveals a strong trajectory toward more sophisticated tactile perception systems and their integration with language and vision for natural human-robot collaboration. His work consistently addresses the simulation-to-reality gap, developing methods for transferring control policies from virtual environments to physical robots. The research shows increasing integration of multimodal sensing (tactile, visual, linguistic) to enable more capable and adaptable robotic manipulation in unstructured environments. As an educator, Professor Haschke teaches advanced courses including Robot Manipulators (39-Inf-RM), Advanced Artificial Intelligence (39-M-Inf-AI-adv_a), Advanced Artificial Intelligence (focus) (39-M-Inf-AI-adv-foc), and Basics of Artificial Intelligence (39-M-Inf-AI-bas). His teaching reflects his research expertise, providing students with both theoretical foundations and practical skills in robotics and AI. Professor Haschke is an integral member of Bielefeld University's Cognitive Systems and Social Interaction Group within CITEC. His work contributes significantly to the university's Socio-Technical World research area, particularly in developing capabilities that enable agents (humans, robots, and AI systems) to act, communicate, and learn in complex environments. His research group focuses on creating robotic systems that can interact naturally with humans through advanced perception and adaptive control mechanisms.

Marian VLĂDESCUمشاهده پروفایل

دانشیار

• Optoelectronics
• Telecommunications Networks
• Electronic Design Automation
• +۳ مورد دیگر

Marian VLĂDESCU serves as Associate Professor and Director of the Department of Electronic Technology and Reliability at Politehnica University of Bucharest's Faculty of Electronics, Telecommunications and Information Technology since 2016, while concurrently directing the university's Optoelectronics Research Center (UPB-CCO). His institutional base operates from Building A (LEU), Room A201/A203. His research spans Optoelectronics and Telecommunications Networks with specialized expertise in GPON/IP-TV (Electromagnetica Goldstar), ADSL/ATM (LG Korea), and SDH (ECI Telecom) systems. Core technical capabilities include electronic/optoelectronic circuit simulation (PSpice, OptiSPICE) and computer-aided design (OrCAD, GerbTool). Emerging focus areas encompass Quantum Technologies through QUTECH-RO, Sensor Systems for medical/security applications, and Internet of Things infrastructure development. Professional engagements include IEEE membership across nine specialized societies (Photonics, Electronics Packaging, Electron Devices, Sensors, Nanotechnology, Electronic Design Automation, Biometrics, Systems, Superconductivity, RFID) plus SPIE affiliation. Current project leadership includes NETIO (IoT ecosystem development, 2016-2020) and quantum technology component projects under QUTECH-RO (2018-2021), alongside historical contributions to THz-DETECT (hazardous substance identification), AMI-DETECT (cardiac diagnostics biosensors), and VIPRO Platform (rescue robotics). Research Leadership: Technical lead for NETIO project (ID 40270, 2016-2020): IoT product/service ecosystem development Component project lead for QUTECH-RO (PN-III-P1-1.2-PCCDI-2017-0338, 2018-2021): Quantum technology research laboratories Research team member for THz-DETECT (2014), AMI-DETECT (2014-2015), VIPRO Platform (2014-2017) Expert roles in PRACSIS (information security careers) and television professional development projects Ongoing academic contributions include organizing the 2025 Student Scientific Communications Session and participating in SIITME 2024 symposium, reflecting continued active engagement in scholarly community building.

Dennis Krupkeمشاهده پروفایل

پژوهشگر

• Human-Robot Interaction
• Bio-inspired Robotics
• Modular Robots
• +۷ مورد دیگر

Dennis Krupke is a Researcher at the Department of Informatics, University of Hamburg, affiliated with the Human-Computer Interaction (HCI) group and the Technical Aspects of Multimodal Systems (TAMS). His work bridges robotics, virtual reality, and human-computer interaction, focusing on natural interfaces for human-robot cooperation. Education: Diploma in Informatics (2014), University of Hamburg Research Interests: Human-Robot Interaction (HRI) Bio-inspired Robotics and Sensor Systems Modular Robotics and Low-cost Prototyping Mixed Reality for Immersive Scenarios Scientific Awards: Finalist, IROS KROS Best Paper Award on Cognitive Robotics (2018) Highly Commended Paper, Industrial Robot Innovation Award (2017) CLAWAR Association Best Technical Paper Award (2015) Best Innovative Robot Award, CLAWAR (2014) Publications & Projects: Co-developed a printable modular robot with Florens Wasserfall Contributed to ROS-Unity integration for VR-based robotics Explored locomotion techniques for modular robots using reinforcement learning

• Green Software Engineering
• Software Architecture
• Robotics Software
• +۳ مورد دیگر

Dr. Ivano Malavolta is an Associate Professor in Software Engineering at Vrije Universiteit Amsterdam's Faculty of Science, affiliated with the Software and Sustainability (S2) department and the Network Institute. He leads research in energy-efficient software, robotics, and software architecture, with a focus on sustainability. He holds editorial roles in journals like IEEE Software and has received notable awards, including the 2024 Dutch ICT Research Prize for Green Robotics Software. Malavolta earned his PhD in Computer Science from the University of L'Aquila in 2012. His teaching spans courses like 'Green Lab' and 'Software Design,' emphasizing research integration. He supervises over 10 PhD students and hundreds of undergraduates, contributing to programs like the VU's Software Engineering and Green IT track. Key projects include Innoguard (Hybrid AI for Cyber-Physical Systems) and BUMBLE (Model-Driven Software Engineering). His work aligns with UN SDG goals, particularly environmental sustainability. Education : PhD in Computer Science, University of L'Aquila (2012) Research Focus : Green software, energy efficiency, robotics, model-driven engineering Teaching : Program coordinator for Master's Green IT track; courses in software design, mobile apps, and sustainability His research outputs include over 138 publications, with recent emphasis on energy-efficient Python libraries, ROS-based robotics, and collaborative modeling tools. He actively participates in conferences like ICSA and ECSA, promoting industry-academia collaboration through workshops and editorial roles.