Find Academic Supervisors

• Space Robotics
• Control Theory
• Computer Vision

Pedro Delgado Roque is a Postdoctoral Researcher at the Royal Institute of Technology (KTH) in Stockholm, affiliated with the Wallenberg AI, Autonomous Systems and Software Program (WASP). He is part of the Division of Decision and Control Systems (DCS) and leads the establishment of the Space Robotics Laboratory at KTH. His research focuses on Space Robotics, Control Theory, and Computer Vision, with contributions to projects like DISCOWER, Space Cobot, and MoonHopper. He obtained his Ph.D. in 2024 under Professors Dimos Dimarogonas, Mikael Johansson, and Jana Tumova. **Research Interests**: Space Robotics: Weightless robotics, collaborative robotics, exploration robotics. Control Theory: Model predictive control, collaborative load transportation. Computer Vision: Visual-servoing, distributed vision systems. **Awards**: ICRA 2022 Outstanding Coordination Award for work on decentralized collaborative UAV control. **Advising**: Supervised 11+ Master's and thesis students, including works on failsafe control for space systems, predictive controllers in microgravity, and multi-agent inspection systems. Collaborated with NASA Astrobee and PX4 projects. **Labs & Projects**: Co-founded the DISCOWER project with 4 PhD students, 2 master students, 6 professors, and a postdoc team. Developed the Space CoBot aerial robot for indoor microgravity testing.

Jenny van DoornView profile

Professor

• Service Marketing
• Robotics in Service
• Customer Engagement
• +5 more

Prof. Jenny van Doorn is a Professor of Service Marketing at the University of Groningen, affiliated with the Faculty of Economics and Business. Her research focuses on service technology, robotics, customer engagement, sustainability, and food waste. She collaborates with organizations such as Welbo, Tangenborgh, and Landal Green Parks to explore societal transitions through technology adoption. Key projects include investigating human-robot collaboration in healthcare and developing speech technology for robots using regional dialects. She holds editorial roles at top journals like the Journal of the Academy of Marketing Science and Journal of Service Research. Awards include the D&IN Insight Scientist Award and SAGE’s 10-Year Impact Award. Her teaching includes courses on Marketing & Consumer Well-being and Managing Customer Experience. Research interests emphasize the ethical and practical integration of AI and robotics in services, with a focus on healthcare and sustainability. Notable contributions address consumer responses to service robots, food waste drivers, and policy impacts. She frequently engages with practitioners and policymakers, advocating for socially responsible technology adoption. Her interdisciplinary work bridges marketing, technology, and public health, addressing challenges like aging populations and environmental conservation. Education: PhD in Marketing (implied by position). Labs/Teams: Collaborations with the Centre of Computational Linguistics (Faculty of Arts) and the UMCG (University Medical Center Groningen). Grants: NWA-IDG Grant on dialect-speaking robots for elderly acceptance. Awards: Includes editorial excellence and impact recognition in marketing research.

• Robotics
• Human-Robot Interaction
• Ergonomics
• +4 more

Greet Van de Perre is a Research Fellow at the Vrije Universiteit Brussel, affiliated with the Applied Mechanics Department within the Faculty of Engineering. They are also a postdoctoral researcher in the Federated labs AI and Robotics. Their work focuses on robotics, human-robot interaction, ergonomics, and applications in autism therapy. Van de Perre leads or collaborates on projects like the Brubotics initiative, exploring sustainable robotics and safe control systems for flexible manipulators. They have published extensively in areas such as collaborative robots, ergonomic optimization, and social robotics. Key research interests include improving human-robot collaboration through ergonomic design, developing energy-efficient robot systems, and advancing social interaction capabilities in robots for therapeutic applications. Notable projects include the design of lightweight cobots with high payload capacity and the exploration of flexible link technologies for enhanced robot performance. Van de Perre’s recent work emphasizes safe control strategies for industrial and assistive robotics, integrating optimization algorithms and advanced control systems. Their contributions span theoretical advancements and practical applications, including studies in virtual environments and real-world robotic systems. Collaborations with interdisciplinary teams highlight their commitment to bridging robotics engineering with human-centric design.

• Robotics
• Smart Manufacturing
• Advanced Materials Processing
• +9 more

Xiaoqi Chen is an Adjunct Professor in the Department of Mechanical Engineering & Product Design Engineering at Swinburne University of Technology, School of Engineering. He previously served as Deputy Director of the Manufacturing Futures Research Institute and Professor in the same department. Prior to Swinburne, he was Professor and Director of Mechatronics Engineering at the University of Canterbury (2006–2019), and held senior research roles in Singapore and the UK. Education: B.Eng. in Mechanical Engineering, South China University of Technology M.Sc. in Materials Technology, Brunel University, UK PhD in Electrical Engineering and Electronics, University of Liverpool, UK Prof. Chen’s research spans robotics, smart manufacturing, advanced materials processing, additive manufacturing, and autonomous systems . He is a strong advocate for translating research into commercial applications, evidenced by spin-offs like Invert Robotics Ltd. His work integrates intelligent systems with industrial processes to improve efficiency and sustainability. He is deeply involved in the ARC Training Centre for Collaborative Robotics in Advanced Manufacturing, co-leading the Biomimic Cobots program. His recent publications highlight advancements in robotic grinding, fault diagnosis using deep learning, composite materials, and additive manufacturing of superalloys . These works reflect a trend toward intelligent, data-driven, and sustainable manufacturing systems with applications in aerospace, energy, and healthcare. Scientific Awards and Recognitions: Fellow of the Royal Society of New Zealand Fellow of Engineering New Zealand (F.EngNZ) Fellow of Society of Manufacturing Engineers (F.SME) Fellow of American Society of Mechanical Engineers (F.ASME) New Zealand Hi-Tech Start-Up Excellence Award (2012) New Zealand Forest Owners Association Award (2015) Singapore National Technology Award Mechanical Engineering Research Award, University of Canterbury Advising and Grants: Prof. Chen supervises multiple PhD students in areas such as compliant mechanisms, soft robotics, and intelligent fault diagnosis. He is a Chief Investigator on industry-linked grants, including a project on rapidly-deployable soft robotic assistive devices funded by KNW DESIGN PTY LTD. His editorial roles include serving as Associate Editor for IEEE Transactions on Industrial Electronics and IEEE Transactions on Automation Science and Engineering. Labs and Teams: He leads research teams in robotics and advanced manufacturing at Swinburne and is a key figure in the ARC Training Centre for Collaborative Robotics in Advanced Manufacturing. His work bridges academia and industry, focusing on real-world deployment of robotic and intelligent systems.

• Computer Vision
• Artificial Intelligence
• Robotics
• +7 more

Christopher McCarthy is an Associate Professor in the Department of Computing Technologies within the School of Science, Computing and Emerging Technologies at Swinburne University of Technology. His research focuses on computer vision algorithms applied to robotics, intelligent transport systems, and assistive technologies, particularly for people with low vision. He serves as Stream Leader in Swinburne’s Innovative Planet Research Institute, leading the Intelligent Transport stream, and is a Chief Investigator in the Australian Cobotics Centre funded by the ARC. He has held research roles at CSIRO Data61, the Bionics Institute, and the University of Melbourne, contributing to bionic eye technology under the Bionic Vision Australia consortium. His research interests include: Computer Vision and AI for real-time systems Robot perception and navigation Assistive technologies for low-vision and blind users Intelligent transport systems and video analytics Human-machine interaction and cyber-human teams His recent publications reflect strong trends in deep learning, continual learning, and real-world deployment of vision systems in transport and healthcare. He has led numerous field trials and evaluations to assess system performance in real-world contexts. His work is highly interdisciplinary, combining computer science with engineering, medicine, and urban planning. Christopher McCarthy has received multiple awards, including: FSET Research Collaboration Award Excellence in Industry Engagement Special Commendation – VC Research Impact Finalist – National Disability Award in Technology Best Paper Award (IEEE) Excellence in Teaching (University of Melbourne) He has supervised over 20 HDR students in areas including robotics, AI, assistive tech, and transport analytics. He has led major research grants from ARC, Defence, SmartCrete CRC, iMOVE, and city councils. He also served as Academic Director for Work-Integrated Learning (2016–2023) and coordinated professional placements. His teaching includes core computer science units such as Computer Systems and Object-Oriented Programming. He maintains ongoing affiliations with: Bionics Institute (Honorary Member) Bionic Vision Australia (Affiliate) Data61 (Honorary Member) Royal Children's Hospital, Melbourne International Task Force for Vision Restoration Outcomes (Chair)

• Robotics
• Mechanical Engineering
• Control Systems
• +3 more

Hafsa Nouhi is a doctoral researcher at the ORCID -affiliated Faculty of Engineering Sciences, Vrije Universiteit Brussel, Belgium. Her research focuses on control systems for flexible robotics and collaborative robots (cobots). Doctoral scholarship recipient Active in robotics research since 2025 Research Interests Flexible link manipulator control Vibration suppression in robotic systems Safety protocols for human-robot interaction Dynamic modeling of cobots Scientific Awards Doctoral Scholarship Conference Participation 44th Benelux Meeting on Systems and Control (March 18–20, 2025) - Presented "Safe control for flexible link manipulators"

Christopher M GreeneView profile

Associate Professor

• Industry 4.0
• Robotics (Collaborative Robots/Cobots)
• Quality Engineering
• +5 more

Dr. Christopher M. Greene is an Associate Professor at the School of Systems Science and Industrial Engineering, Binghamton University. His research focuses on applying Industry 4.0 technologies to enhance manufacturing systems, including collaborative robotics, additive manufacturing, and data analytics. He holds a BS from Syracuse University and MS/PhD degrees from Binghamton University. His expertise spans quality engineering, AI-driven robotics, and electronics manufacturing. Key research areas include improving solder joint reliability, optimizing manufacturing processes via DMAIC/Six Sigma, and leveraging augmented reality in cobotics. Recent publications emphasize defect analysis in electronics, healthcare robotics ethics, and material science advancements. He actively contributes to advancing quality control frameworks in printing and pharmaceutical processes. His work bridges theoretical models with industrial applications, aiming to solve real-world manufacturing challenges.

• Robotics
• Manufacturing Engineering
• Mechanical Engineering Design
• +5 more

Fabio Pini is an Associate Professor at the University of Modena and Reggio Emilia's Department of Engineering 'Enzo Ferrari'. His research focuses on robotics, manufacturing engineering, and advanced design methodologies. He leads the IDEALab (Intelligent Design, Engineering, and Automation Laboratory) and teaches courses in Smart Robotics, Automotive Design, and Additive Manufacturing. Education: Not explicitly stated in provided texts. Research Interests: Collaborative robotics and human-robot interaction Computer-aided design (CAD) and topology optimization Additive manufacturing processes and sustainability Automotive component design and lightweighting Robotics in medical applications (e.g., surgical navigation) Manufacturing process integration and automation Teaching: Smart Robotics (Master's in Electronics/Computer Engineering) Formula SAE Vehicle Design (Mechanical Engineering) Integrated Computer-Based Design (Mechanical Engineering) Automotive Computer-Aided Design (Advanced Automotive Engineering) Labs/Teams: IDEALab focuses on intelligent design systems, robotic automation, and advanced manufacturing solutions. Collaborations include industry partners for automotive and medical robotics projects.

Andreas Kornmaaler HansenView profile

Assistant Professor

• Industry 4.0
• Digital Transformation
• Robotics (Manufacturing)
• +4 more

Andreas Kornmaaler Hansen is an Assistant Professor at the Department of Architecture, Design and Media Technology within Aalborg University's Technical Faculty of IT and Design. His primary affiliation is with the AAU Design Lab. He holds a PhD in Human-Centred Production and focuses on Industry 4.0, manufacturing innovation, and human-robot interaction. His work addresses digital transformation challenges in SMEs, workforce competency development, and assistive robotics applications. Research interests include: Robotization in manufacturing work environments Human-centred design of industrial technologies SME digitalization barriers and solutions Collaborative robotics training methodologies Recent publications highlight participatory studies in socially assistive robotics for mental health, thematic analysis of manufacturing robotization, and interpretive structural models for SME production improvements. He contributes to projects like ZeroWaste (2024-2028) and Innovation Factory North (2019-2022), focusing on transforming manufacturing ecosystems. Key collaborations involve interdisciplinary teams addressing Industry 4.0 challenges through learning factories and sandbox approaches. His work emphasizes bridging technological innovation with human-centric considerations in production systems.

Jill UrbanicView profile

Professor

• Additive Manufacturing
• Robotics and Automation
• Ergonomics and Biomechanics
• +4 more

Professor Jill Urbanic is a faculty member in the Department of Mechanical Engineering at the University of Windsor’s Faculty of Engineering. Her research focuses on additive manufacturing, robotics, ergonomics, and sustainable design. She has coordinated capstone projects and advised numerous students, including those involved in innovations like 3D-printed medical devices, sustainable material handling solutions, and ergonomic studies in agriculture. She received notable awards such as the Wighton Fellowship (2013) for innovative teaching and Tech Researcher of the Year (2021). Her work integrates advanced manufacturing techniques with real-world applications, including collaborations with local industries and responses to crises like the COVID-19 pandemic. She has led projects on residual stress analysis in additive manufacturing, robotic automation for textiles, and musculoskeletal risk mitigation in manual labor. Prof. Urbanic also co-founded CAMufacturing Solutions, emphasizing practical industry-academia partnerships. Her teaching emphasizes hands-on laboratory experiences, such as robotic arm design, CAD/CAM applications, and material prototyping. She has organized interdisciplinary events like the WE-Spark think tank and contributed to open house initiatives to engage prospective students. Collaborations with peers like Dr. Duncan Lam highlight her cross-disciplinary creativity, blending engineering with art and storytelling.

Pantelis SopasakisView profile

Lecturer

• Model Predictive Control
• Embedded Numerical Optimization
• Stochastic Optimal Control
• +5 more

Dr. Pantelis Sopasakis is a Lecturer in the School of Electronics, Electrical Engineering and Computer Science at Queen's University Belfast, Northern Ireland. His research focuses on developing efficient numerical optimization algorithms and model predictive control (MPC) methodologies for uncertain systems, with applications in autonomous vehicles, smart infrastructure networks, and advanced manufacturing. He leads projects on embedded optimization solvers, GPU-accelerated MPC, and stochastic control for systems like water networks and microgrids. His work emphasizes real-time implementation and safety-critical applications in robotics and energy systems. He teaches postgraduate and undergraduate courses in control theory and signals, and is actively involved in supervising PhD students in areas like parallel algorithms and MPC for uncertain systems. Key achievements include the development of the Open-Source Optimization Engine , widely used for embedded MPC. Research interests span distributed embedded intelligence, intelligent uncertain-aware MPC, and biomedical applications of control systems. He collaborates internationally on projects involving risk-averse control, multi-agent systems, and circular economy applications. His interdisciplinary work bridges optimization theory, robotics, and energy systems, with a focus on scalable and real-time solutions. Teaching includes modules on control systems fundamentals and advanced MPC concepts, supported by his textbook Control Systems: An Introduction . Dr. Sopasakis has contributed to over 50 publications, with recent work on conformal prediction for stochastic control, distributed collision avoidance, and thermodynamical material networks. He participates in conferences and editorial activities, and has organized events like the 2025 IEEE UK and Ireland Robotics Conference. His research group is part of the Energy, Power, and Intelligent Systems and Control clusters at Queen's.

Milan WolffgrammView profile

Research Professor

• Robotics
• Human-Robot Interaction
• Industrial Engineering
• +3 more

Milan Wolffgramm serves as a Principal Investigator at Saxion University of Applied Sciences, holding dual affiliations with the Employability Transition research group (Academy of Human Resources) and the Smart Mechatronics and Robotics research group (Academy of Life Science, Engineering & Design). Recently nominated as a finalist for the New Scientist Science Talent 2025 award—recognizing young scientific innovators across the Netherlands and Flanders—he stands as the sole university of applied sciences graduate among 15 nominees. His research spans over seven years of pioneering work on human-robot collaboration in industrial production environments , focusing on how interactive robots can support frontline workers. This culminated in a practice-oriented PhD dissertation developed in partnership with the University of Groningen, featuring actionable tools for designing effective human-robot workflows with direct worker involvement. Key Research Themes : Industrial automation, workforce transition in tech-driven manufacturing, and practical implementation of collaborative robotics (cobots) Impact Translation : Findings systematically converted into business publications and teaching materials for higher professional education, vocational training, and secondary schools Wolffgramm views his Science Talent nomination as critical recognition for applied sciences research, stating it validates Saxion's contribution to building a 'high-tech, competitive, and sustainable Netherlands with viable jobs for everyone.' The award winner will be announced during Science Weekend (October 4-5, 2025), followed by a featured presentation at the November 2025 Science Gala alongside leading scientists like Hans Clevers. New Scientist Science Talent 2025 Finalist (only UAS graduate nominee)

Thiago Rocha SilvaView profile

Associate Professor

• Software Technology
• End-User Development
• Domain-Specific Languages
• +12 more

Thiago Rocha Silva is an Associate Professor in the Software Engineering group at the Maersk Mc-Kinney Moller Institute, University of Southern Denmark (SDU). His work bridges software engineering, human-robot interaction, and end-user development, with a focus on making robotic systems accessible through intuitive programming interfaces. University: University of Southern Denmark Institute: Maersk Mc-Kinney Moller Institute Department: Software Engineering Academic Rank: Associate Professor His research interests are centered on end-user development , domain-specific languages , and interactive systems , particularly in the context of robotics and software engineering. He investigates how users can program robots without deep technical expertise, using gesture-based interfaces, visual-textual synchronization, and low-code environments. The recent publications highlight a strong trend in human-robot collaboration , focusing on user-centric design, behavior modeling, and programming frameworks that empower non-experts. These works span robotics, software engineering, and human-computer interaction, often employing participatory and user-centered methodologies. Thiago actively leads and contributes to major research initiatives, including projects on sustainable human-robot synergy in extended reality and low-code programming for mobile robotics. He supervises students and teaches courses such as End-User Development and Software Engineering and Organization . He is involved in interdisciplinary collaborations, particularly in projects integrating AI, robotics, and Earth observation data. His work emphasizes practical applications in smart societies, logistics, and physical training.

Barbara MikusView profile

Professor

• Production Management
• Supply Chain Management
• Risk Management
• +5 more

Prof. Dr. Barbara Mikus has served as Professor of Business Administration, especially Industrial Management, at the Faculty of Business Administration and Industrial Engineering (FWW) of Leipzig University of Applied Sciences (HTWK Leipzig) since 2004. She held leadership roles including Dean of Studies (2007–2020) , Dean of the Faculty of Economics (2012–2015) , and Vice Rector for Education (2019–2024) . Currently, she chairs the WW and WING Audit Committees and serves on the University Council of the Cooperative State University Saxony (2025–2030) . Studied Business Administration at Georg-August University of Göttingen (1989–1994) Doctorate in Economics (1997), Habilitation (2003) at University of Göttingen Co-editor of Journal for Planning & Corporate Management (ZP) (1995–2004) Her research focuses on production management , supply chain risk , strategic logistics , and sustainable manufacturing . Recent work examines human-robot collaboration (2020) and resource-based location planning (2002). Publications address decision models in risk management (1998), KPI systems (2010), and make-or-buy strategies (2010). Key article trends include sustainability in manufacturing (2020), supply chain risk frameworks (2015), human-machine interaction (2015), and economic evaluation of logistics centers (2011). Her 1998 Principal-Agent Theory analysis remains influential in organizational economics. She contributes to academic governance as Scientific Advisory Board member for Der Betriebswirt journal (since 2007) and Faculty Council member (current). Her career spans editorial roles at Springer-Verlag (1995–2004), research at the Institute for Business Production and Investment Research (1994–2004), and leadership in multiple national commissions.

• Enterprise Resource Planning (ERP)
• Industry 4.0
• Internet of Things (IoT)
• +7 more

Paolo Chiabert is a Tenured Associate Professor at the Department of Management and Production Engineering (DIGEP) of the Polytechnic of Turin . He is also a member of the CARS@PoliTO Center focusing on Automotive Research and Sustainable Mobility. His academic career spans multiple international engagements, including teaching roles at the Turin Polytechnic University in Tashkent (2013-2014). Research interests include: Enterprise Resource Planning (ERP) Industry 4.0 and 5.0 technologies Internet of Things (IoT) for smart production Lean Manufacturing methodologies Manufacturing Execution Systems (MES) Product Lifecycle Management (PLM) systems His research projects involve: CAPT'N'SEE (2021) - Additive Manufacturing for luxury industry HOME (2018-2021) - Hierarchical Open Manufacturing Europe FlexAGV (2017) - Flexible AGV systems DISLO-MAN (2016-2019) - Industry 4.0 shopfloor operations Scientific contributions focus on IoT integration , digital twin frameworks , and sustainable manufacturing , with recent works on: AI sustainability across product lifecycles One-of-a-kind production optimization IoT taxonomy for Industry 4.0 education Hybrid machine learning for aeroponic systems Knowledge reuse barriers in product development He supervises PhD students including: Temur Turgunboev - Remote multi-agent collaboration Niccolo' Giovenali - Irregular shape packing algorithms Luigi Panza - Technological innovations for sustainable manufacturing Mansur Asranov - IoT for Smart Production Ahmed Mekki Awouda - Industry 5.0 compliant IoT architectures Active in teaching at all levels, with recent courses in: Lean Manufacturing approaches Industry 4.0 production systems Production management fundamentals Graphical communication and mechanical manufacturing Industrial programming laboratory