Find Academic Supervisors

• Lean Construction
• Production Planning and Control
• Value Management
• +11 more

Farook Hamzeh is a Professor in the Department of Civil and Environmental Engineering at the University of Alberta since 2019. He previously held faculty positions at Colorado State University (2009-2011) and the American University of Beirut (2011-2019). His research focuses on advancing Lean Construction principles through digital transformation, including BIM, Digital Twinning, and wearable sensors, to optimize construction productivity and reduce process waste. Ph.D., University of California, Berkeley M.S., University of California, Berkeley M.S., American University of Beirut B.S., American University of Beirut His work integrates lean methodologies with Industry 4.0/5.0 technologies such as AI, robotics, and simulation to address challenges in production planning, value management, and human-centered systems. A co-author of the seminal book Lean Construction 4.0 , he has published over 200 peer-reviewed articles and book chapters. Recent publications emphasize AI-driven workspace planning, fuzzy logic for lean assessment, entropy-based project dynamics, and human-cognitive load analysis in construction environments. His research frequently involves collaboration with students and international institutions, focusing on offsite construction, modular systems, and digital twin applications.

Florian FranzmannView profile

Researcher

• Real-Time Systems
• Embedded Systems
• Multi-core Processing
• +4 more

Florian Franzmann is a researcher in the Department of Computer Science 4 (Distributed Systems and Operating Systems Group) at the University of Erlangen-Nuremberg. His work focuses on real-time systems, embedded systems, and distributed scheduling. Role: Researcher (academic rank) Teaching: Supervised exercises for courses like "Echtzeitsysteme" (Real-Time Systems) and "Verläßliche Echtzeitsysteme" (Dependable Real-Time Systems) Research Interests include real-time scheduling, distributed systems, multi-core processing, and quality-aware digital signal processing. His work often bridges theoretical models with practical implementations in safety-critical domains. Publications highlight trends in time-triggered architectures, adaptive resource protocols, and multi-core real-time computing. Key subtopics include WCET analysis, task migration, and system synthesis. Advising includes supervision of master's and diploma theses on projects like RTSC_SIMULINK and AORTA_RISCV. Students include Tobias Klaus, Thomas Reichinger, and Florian Güthlein. Labs & Teams: Part of the Distributed Systems and Operating Systems Group at FAU, collaborating on projects like AORTA and RTSC.

Xiao KuangView profile

Assistant Professor

• Smart Polymer Composites
• Biomaterials
• Advanced Manufacturing
• +4 more

Dr. Xiao Kuang is an Assistant Professor in the Mechanical Engineering Department at the University of Wisconsin-Madison, leading the Adaptive Materials and Advanced Manufacturing (AM2) Lab. His research focuses on functional soft (bio)materials and additive manufacturing, addressing challenges in sustainability and healthcare through innovations in 3D printing, smart polymers, and biomedical applications. He earned his Ph.D. from the University of Chinese Academy of Sciences and completed postdoctoral training at Georgia Tech and Harvard Medical School. Education: Ph.D., University of Chinese Academy of Sciences (2016) B.S., Beijing University of Chemical Technology (2011) Research interests span smart polymer composites, biomaterials, advanced manufacturing, ultrasound technology, and sustainability. The AM2 Lab explores stimuli-responsive materials, bioengineering approaches, and machine learning to develop multifunctional devices and systems for marine, aerospace, and biomedical fields. Awards include the 2019 ACS Distinguished Poster Nomination, 2018 Georgia Tech SPN Poster Prize, and multiple honors from Chinese academic institutions. His work has been featured in Advanced Materials , Small , and Composites Part B . Teaching includes courses on polymer additive manufacturing, manufacturing processes, and PhD research. The AM2 Lab collaborates on grants and projects in biofabrication, sustainable materials, and medical devices. Labs/Teams: The AM2 Lab pioneers adaptive materials and 4D printing for next-generation applications, emphasizing interdisciplinary collaboration across engineering and biomedicine.

• Power Electronics
• Electric Motor Drives
• Renewable Energy Systems
• +5 more

Prof. Dr. Mutlu BOZTEPE is a Professor in the Department of Electrical and Electronics Engineering at Ege University's Faculty of Engineering. His research focuses on Power Electronics, Electric Motor Drives, Renewable Energy Systems, and Energy Conversion. He has contributed extensively to advancements in power inverters, wind energy conversion systems, and wireless battery charging technologies. With a strong emphasis on sustainable energy solutions, his work addresses challenges in grid integration, harmonic mitigation, and efficient power conversion. Research interests include optimizing power electronic converters for renewable energy applications, developing modular and scalable motor systems, and improving energy storage solutions. His publications highlight innovations in photovoltaic systems, inverter designs, and control strategies for electric drives. Prof. BOZTEPE has collaborated on projects involving solar inverters, magnetic catheter guidance systems, and energy-efficient industrial applications. His articles demonstrate a trend toward addressing technical barriers in renewable energy integration, such as harmonic limits in unbalanced grids and efficient DC/AC conversion. While no scientific awards are explicitly listed, his extensive publication record (over 60 entries) and citation metrics reflect significant academic impact. Advising and grant details are not provided in the available texts.

Jorrit J. OlthuisView profile

Researcher

• Robotics
• Cybersecurity
• Machine Learning
• +3 more

Jorrit J. Olthuis is a doctoral candidate in the Data Protection group at Eindhoven University of Technology (TU/e), within the Faculty of Mathematics and Computer Science. His research focuses on cybersecurity, robotics, and formal methods in safety-critical systems. He is actively involved in the INTERSECT project (NWA.1160.18.301), which aims to develop secure IoT systems through modular architectures and forensic expertise. His work bridges theoretical computer science with practical applications in autonomous systems and machine learning. Olthuis has contributed to interdisciplinary projects combining robotics and AI, as evidenced by his participation in the Tech United Eindhoven Middle Size League, where his team won competitions in 2021–2024. These efforts emphasize multi-agent systems, real-time decision-making, and safety protocols. His publications address topics like autonomous navigation security, vision-based machine learning, and cryptography on constrained devices. He holds a master’s degree with theses on pairing-based cryptography performance and formal requirement verification. His research aligns with trends in secure IoT, autonomous systems, and AI ethics. Current projects explore cyberattack defense strategies and resilient system design.

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.