Find Academic Supervisors

Wei WangView profile

Assistant Professor

• Marine Robotics
• Autonomous Systems
• Control Systems
• +4 more

Wei Wang is an Assistant Professor in the Department of Mechanical Engineering at the University of Wisconsin-Madison, leading the Marine Robotics Lab (MRL). His research focuses on designing and controlling autonomous robots in complex aquatic environments, with expertise in marine robotics, bioinspired systems, and underwater perception. He joined the university in January 2024 and teaches courses such as E M A 599, M E 351, and M E 376. Education: PhD in Mechanical Engineering from Peking University (2016), Bachelor of Engineering from University of Electronic Science and Technology of China (2010). Notable academic distinctions include being a finalist for the 2022 MIT Water Innovation Prize and a champion in the 2014 International Underwater Robot Competition. Research Interests: The MRL explores innovative robotics concepts for aquatic monitoring, ocean exploration, and urban transportation. Key areas include autonomous navigation, control algorithms, and bioinspired design. Recent work emphasizes deep reinforcement learning, hybrid actuation systems, and robust model predictive control for surface and underwater vehicles. Publications: Over 25 peer-reviewed articles since 2013, with a focus on marine robotics, control systems, and bioinspired mechanisms. Notable contributions include Roboat III’s urban transportation system and AI-driven underwater glider design. Awards: Extensive recognition for innovation in robotics, including the NOW Awards Silver Winner (2019) and multiple academic excellence awards from Peking University and UESTC. Lab & Teams: The Marine Robotics Lab collaborates on projects like Roboat (autonomous urban vessels) and underwater electrocommunication systems. Current research integrates AI, bioinspired engineering, and environmental adaptation for next-generation autonomous systems.

• Empirical Software Engineering
• Model-Driven Development
• Software Architecture
• +2 more

Professor in the Department of Computing, Mathematics, and Physics at Western Norway University of Applied Sciences. Research bridges academia and industry through empirical studies on software modeling, requirements engineering, and software architecture. Current collaborations include Volvo, Ericsson, Saab, and Grundfos. Publications focus on marine data systems, sustainability in computing education, and industrial software engineering challenges. Research spans empirical software engineering with emphasis on industrial modeling applications, requirement engineering, and architecture design. Recent work explores marine data observability, sustainability education, and anomaly detection systems. Publications demonstrate consistent focus on practical software engineering solutions, with recent expansion into sustainable computing education and marine data systems. Trend shows increasing emphasis on environmental applications of computing technologies.

Daniel HagenView profile

Associate Professor

• Robotics
• Modeling and Simulation
• Actuation Systems
• +4 more

Daniel Hagen is an Associate Professor at the Department of Engineering Sciences, University of Agder (UiA), Norway. He holds a Ph.D. in Engineering Sciences (2020), M.Sc. and B.Sc. in Mechatronics (2014 and 2012), and a Trade Certificate as Automation Mechanic (2009). His academic career is complemented by extensive industrial experience in roles such as Chief Scientist at Twilligent and Senior Technical Advisor at MotionTech, focusing on control systems, robotics, and energy-efficient mechatronics. Dr. Hagen's research interests include robotics, actuation systems, fluid power, and control systems. He leads projects in digital twins, autonomous robotics (e.g., UiAbot), and energy-efficient electro-hydraulic systems. His work emphasizes practical applications in offshore engineering and industrial automation. He teaches courses like Robotics and Instrumentation, Programming for Intelligent Robotics, and Mechatronic System Design. He is affiliated with research groups such as CAIR (Artificial Intelligence Research) and the Intelligent Mechatronics (iTron) group. Recent publications focus on real-time control systems, payload motion prediction, and digital twin frameworks for mechatronics. His research bridges academic innovation with industrial challenges, particularly in energy efficiency and autonomous systems.

• Cybersecurity Education
• Robotics in Education
• Teacher Professional Development
• +6 more

Karen Parish is an Associate Professor at the University of Inland Norway, affiliated with the Faculty of Teacher Education and Pedagogy and the Department of Pedagogy at the Teacher Education Department. Her research focuses on cybersecurity education, robotics integration in schools, teacher professional development with digital tools, sustainable education, and global-local educational policies. She leads projects like KidCY (cybersecurity education for children) and SustainALL (sustainability in all-day schools), collaborating internationally with institutions in countries such as Austria, Portugal, and Liechtenstein. Her work emphasizes innovative technologies like AR/VR, humanoid robots, and AI to enhance educational practices. Key projects include developing interactive materials for child cybersecurity awareness and creating curricula for climate stability through whole-school approaches. She is part of the Profession, Education, Learning, and Society (PULS) research group and has published extensively on comparative education, teacher training, and human rights education. Recent activities include advancing KidCY’s modular course for teachers and presenting SustainALL’s online sustainability course. Her publications span journals like Technology, Knowledge and Learning and Frontiers in Education , addressing topics from robotics in classrooms to institutional logics in global education policies.

• Robotics
• Humanoid Robotics
• Mechatronics
• +5 more

Joohyung Kim is an Associate Professor in the Department of Electrical and Computer Engineering and Mechanical Science and Engineering at the University of Illinois at Urbana-Champaign, affiliated with the Coordinated Science Lab. His research focuses on advanced robotics, including humanoid robotics, soft robotics, prosthetics, and human-robot interaction. Key areas include bipedal locomotion, robotic manipulation, sensor design, and control systems. He has contributed to projects such as untethered biped robots, prosthetic hand systems, and collaborative robotics. Education details are not explicitly stated in the provided text. Research interests emphasize practical robotics applications, such as developing safe human-robot interfaces, optimizing robot motion through reinforcement learning, and creating low-cost, printable robotic components. Recent work includes studies on supernumerary robotic limbs, autonomous door-opening algorithms, and tactile sensing systems. Publications span topics like bipedal locomotion mechanisms, prosthetic hand gesture generation, and robotic skin design. His work integrates mechanical engineering, AI, and biomimetic principles to advance robotic capabilities in dynamic environments. No scientific awards or grants are mentioned in the provided text. He advises no listed students, though collaborations involve researchers like Moon, Shin, Park, and others. His lab affiliations include the Coordinated Science Lab, emphasizing interdisciplinary robotics research.

• Planetary Drilling Technology
• Space Robotics
• Regolith Sampling
• +3 more

Craig Pitcher is a Research Fellow at the University of Surrey's Surrey Space Centre, specializing in planetary drilling technologies and extraterrestrial surface exploration. He is a key contributor to the development of the Dual-Reciprocating Drill (DRD), a biomimetic drilling system inspired by the wood wasp ovipositor. Affiliation: Surrey Space Centre, University of Surrey Expertise: Space robotics, regolith sampling, cryogenic material analysis His research focuses on optimizing drilling efficiency for lunar and Martian environments, addressing challenges such as regolith cementation, water vapor interactions, and low-mass system design. Pitcher has led experiments on icy lunar simulants, duricrust formation, and DRD actuation mechanisms, contributing to ESA's ExoMars mission and the LUVMI lunar polar volatiles payload project. Recent publications highlight his work on multi-sample acquisition techniques, lateral motion drilling mechanics, and TRL6 instrumentation validation. Collaborations include ESA, international space agencies, and institutions like MDPI and Elsevier.

Thomas BraunlView profile

Professor

• Electromobility
• Autonomous Driving
• Robotics
• +5 more

Thomas Braunl is a Professor at The University of Western Australia (UWA), affiliated with the School of Engineering and the International Space Centre. He leads the Robotics & Automation Lab and directs the Renewable Energy Vehicle (REV) Project. His roles include Head of the CIIPS Research Group and Technical Director of the WA Electric Vehicle Trial. Education: Dip(Info), University of Kaiserslautern MS, University of Southern California PhD and Habilitation, University of Stuttgart Research Interests: Electromobility, autonomous driving, robotics, and simulation systems. Key projects include autonomous shuttle buses, hydrofoil electric jetskis, and EV charging infrastructure for Western Australia. His recent books include Embedded Robotics (2022) and Mobile Robot Programming (2023). Grants & Projects: Investigator in multiple ARC-funded initiatives, including the ARC Training Centre for Automated Vehicles in Rural and Remote Regions (AVR3) and EV feasibility studies for regional schools. Over 20 grants spanning electromobility, safety systems, and transportation innovation.

Ivan KurtevView profile

Associate Professor

• Software Engineering
• Model-Driven Engineering
• Domain-Specific Languages
• +1 more

Ivan Kurtev is an Associate Professor in Mathematics and Computer Science at Eindhoven University of Technology, specializing in software engineering and model-driven technologies. His research develops formal methods for software interface specification, component-based systems, and domain-specific languages. Recent work (2022-2024) focuses on adaptable runtime monitoring and robotics controller synthesis. Earlier contributions established foundations for model transformation languages (ATL/QVT) and requirements change management. He leads research on the INTERSECT project integrating formal methods for IoT systems.

Luuk PoortView profile

Researcher

• Model Reduction
• Dynamics and Control
• Structural Dynamics
• +3 more

Luuk Poort is a doctoral researcher at the Faculty of Mechanical Engineering , Eindhoven University of Technology , specializing in model reduction for interconnected industrial systems. His work focuses on simplifying complex systems while preserving accuracy, modularity, and stability, particularly in collaboration with ASML. Education : Bachelor's and Master's in Mechanical Engineering (cum laude), both from TU/e. Research Interests : Model reduction, structural dynamics, interconnected systems, computational efficiency. Recent Publications emphasize industrial-scale applications of modular model reduction, passivity preservation, and accuracy optimization in dynamical systems. He has received scientific awards for his presentations in 2023 and 2024.

Thomas BaierView profile

Researcher

• Conversational Agents
• Multimodal Interaction
• Affective Computing
• +4 more

Thomas Baier is a Researcher at the Faculty of Social Sciences and Humanities, specializing in Communication Science at Vrije Universiteit Amsterdam. His work focuses on conversational agents, multimodal interaction systems, and affective computing. Ancillary activities include roles at Flashtalking GmbH since 2021. He collaborates extensively in projects like ROBOT-BOND (human-robot bonding research) and the EMISSOR platform for multimodal interaction analysis. Research interests span formalization of emotional processes, AI ethics, and scalable agent architectures. His recent work emphasizes evaluation methodologies for conversational systems and cross-modal data integration. Projects involve creating open-source tools and frameworks to advance human-AI collaboration in healthcare and social robotics. Key contributions include modular agent design, affective decision modeling in robots, and episodic knowledge graph applications. Current efforts focus on bridging theoretical AI frameworks with practical implementations in real-world scenarios.

Jan BroeninkView profile

Associate Professor

• Cyber-Physical Systems
• Systems Engineering
• Robot Software Architectures
• +10 more

Jan Broenink is an Associate Professor at the University of Twente, affiliated with the Robotics and Mechatronics group within the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS). He serves as Programme Director of the MSc Robotics programme since July 2021 and previously chaired the Robotics and Mechatronics group (2017–2021). He holds a PhD and MSc in Electrical Engineering (EE) and biomedical degrees from the University of Twente. His research focuses on Cyber-Physical Systems, Systems Engineering, Robot Software Architectures, and Tools Development. Key interests include model-driven design, meta-modelling, simulation, co-simulation, and concurrent engineering. He develops software tools for robotics, emphasizing real-time computing and embedded control systems. Teaching encompasses Robot Software Design using Model-Driven approaches, Systems Engineering, and project supervision for MSc/BSc students. His work contributes to UN SDGs related to Industry and Future of Work, and Social and Daily Life. Broenink has supervised 9 student works and is active in conferences, presenting on topics like co-design methodologies and bond graph frameworks. His 162+ research outputs span embedded systems, robotics, and simulation tools.

• Robotics
• Biomedical Engineering
• Exoskeleton Design
• +3 more

Gijs van Oort is a Research Professor at the University of Twente's TechMed Centre, Department of Robotics and Mechatronics. His work focuses on advanced robotic systems, particularly exoskeletons for mobility enhancement and rehabilitation. He holds a PhD (dr.ir.) in Engineering. Key research areas include human-robot interaction, neuromuscular control systems, and assistive technologies for spinal cord injuries. Education: Dr.ing. (PhD) in Robotics and Mechatronics, MSc in Mechanical Engineering (inferred from academic title dr.ir.). Research emphasizes exoskeleton design, gait assistance, and modular robotics. Notable contributions include the Symbitron exoskeleton project, aiming to improve mobility for paraplegics. His work bridges biomechanics and control engineering, with applications in clinical rehabilitation and wearable robotics. Publications highlight interdisciplinary collaboration, such as integrating bio-inspired reflexive control systems with trajectory-based approaches. His research aligns with UN Sustainable Development Goals, particularly improving health and well-being (SDG 3) and advancing technology (SDG 9). No scientific awards explicitly listed, but his h-index of 341 and 200+ citations reflect significant academic impact. Active in international conferences (e.g., WeRob2018) and collaborative projects involving institutions like École Polytechnique Fédérale de Lausanne (EPFL).

Uriel Martinez HernandezView profile

Senior Lecturer

• Robotics
• Human-Robot Interaction
• Machine Learning
• +3 more

Uriel Martinez Hernandez is a Senior Lecturer in the Department of Electronic & Electrical Engineering at the University of Bath. He is affiliated with multiple research centers including the UKRI CDT in Accountable, Responsible and Transparent AI, The Foundry, Bath Institute for the Augmented Human, and the Centre for Bioengineering & Biomedical Technologies (CBio). His expertise spans robotics, autonomous systems, and machine learning, with a focus on tactile and vision perception, wearable assistive robotics, and human-robot interaction. Dr. Hernandez holds a PhD in Robotics and Machine Learning from the University of Sheffield (2015), an MSc in Computer Science from CINVESTAV (2008), and a BEng in Communications and Electronics Engineering from the National Polytechnic Institute (IPN) (2005). He has been a Visiting Researcher at Sheffield Robotics Laboratory since 2016. His research addresses challenges in multimodal sensor integration, robot learning, and assistive technologies for healthcare and manufacturing. His work contributes to UN Sustainable Development Goals related to Industry, Innovation & Infrastructure and Good Health & Well-being. Current research projects include multimodal human-robot collaboration systems, wearable robotics for telepresence, and AI-driven quality control in manufacturing. He has supervised over a dozen doctoral students and actively engages in interdisciplinary collaborations across engineering and biomedical fields.

Yihai FangView profile

Senior Lecturer

• Construction Automation and Informatics
• Construction Robotics
• Digital Twin for Construction
• +3 more

Dr. Yihai Fang is a Senior Lecturer in Construction Engineering and Management at the Department of Civil and Environmental Engineering, Monash University. He holds a Ph.D. from Georgia Institute of Technology (2016) and a B.Sc. from Tongji University (2011). Previously, he served as a Postdoctoral Associate at the University of Florida (2016–2017). His research focuses on Construction Automation and Informatics, Construction Robotics, Digital Twin applications in built environments, and Construction Safety and Human Factors. Qualifications include advanced expertise in machine learning, sensing technologies, and Virtual/Augmented Reality (VR/AR). Key research projects include enhancing road work zone safety through smart sensing, collaborative robotics for structural assembly, and BIM-based cyber-physical systems for crane operations. He has led and contributed to multiple grants, including ARC-funded initiatives and industry partnerships. Dr. Fang’s recent work emphasizes predictive analytics, digital twin frameworks, and automation in construction. His publications span safety technologies, crane operation optimization, and remote inspection methods. He supervises a dynamic team of PhD candidates addressing topics like crane hazard exposure, modular assembly automation, and road roughness monitoring. Grants include leadership in the ARC Research Hub for Smart Transport Pavements and Building 4.0 CRC projects. His work aligns with UN Sustainable Development Goals related to infrastructure and sustainable cities.

Jin Ouk ChoiView profile

Associate Professor

• Modular Construction
• Project Management
• Facility Standardization
• +2 more

Jin Ouk Choi is Associate Professor at UNLV's Howard R. Hughes College of Engineering, directing the Project Management and Construction Engineering Lab (PMCEL). His research encompasses modular construction, facility standardization, and workforce diversity, supported by $3.8M in funding from NSF, DOE, and Tesla. As lead editor for ASCE special collections, he advances scholarship in construction industrialization and inclusive practices. Research areas include industrial/building modularization, robotic applications, and ESG assessment frameworks. Current projects examine volumetric module transportation, 3D point cloud modeling, and steel-concrete structural connections. Teaching includes graduate courses on modular construction and engineering economics. 2023 Modular Building Fellow Award 2022 Graduate Academic Advisor Award 2021 GPSA Outstanding Mentor