Find Academic Supervisors

• 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

Yuvin Adnarain ChinniahView profile

Professor

• Occupational Health and Safety
• Industrial Safety
• Machine Safety
• +5 more

Dr. Yuvin Adnarain Chinniah serves as a Full Professor and Department Director in the Department of Mathematical and Industrial Engineering at Polytechnique Montreal. His expertise spans occupational health and safety, industrial safety engineering, and machinery risk assessment. He actively contributes to the Research Group on Globalisation and Management of Technology (GMT) and Laboratoire Poly-Industries 4.0. Dr. Chinniah's research focuses on occupational health and safety with particular emphasis on machinery safety, risk assessment methodologies, human-robot collaboration, and safety standards implementation. His work bridges theoretical frameworks with practical applications in industrial settings, addressing critical issues like confined space safety, lockout/tagout procedures, and safety in Industry 4.0 environments. His research integrates ISO and CSA standards into practical safety solutions for industrial machinery. His recent publications demonstrate a clear trajectory from traditional machine safety toward advanced applications involving robotics, digital transformation, and human-robot collaboration. The research consistently addresses safety optimization in manufacturing processes, with increasing focus on cyber-physical systems, AI integration for hazard detection, and safety-driven production planning. His work maintains strong connections to industrial standards while pushing boundaries in collaborative robotics safety. Dr. Chinniah has successfully supervised 9 Ph.D. students and 10 Master's students, with thesis topics covering confined space safety, lockout/tagout procedures, human-robot collaboration safety, and machinery risk assessment. His teaching portfolio includes key courses in safety engineering, ergonomics, and maintenance engineering. He leads significant research projects related to occupational safety in industrial settings, with particular focus on machinery safety standards implementation and risk assessment methodologies.

Marco NicotraView profile

Associate Professor

• Feedback Control
• Nonlinear Systems
• Model Predictive Control
• +7 more

Marco Nicotra is an Associate Professor and Associate Chair for Undergraduate Education in the Department of Electrical, Computer and Energy Engineering at the University of Colorado Boulder. He leads the Robust and Optimal Control and Cyber-physical Systems (ROCC) research group, focusing on constrained control of nonlinear systems with applications in robotics, aerospace, quantum engineering, and energy systems. His work emphasizes developing systematic control frameworks for safety-critical systems, including Control Barrier Functions and Reference Governors. Education: While specific academic credentials aren't detailed, his faculty role implies a PhD in a related discipline. His research spans theoretical control engineering and applied domains like autonomous systems and quantum sensing. He collaborates with institutions such as NREL and NASA, and holds funding from NSF, NASA STRI, and others. Research Highlights: Control Barrier Functions (CBFs): Systematic design for safety-critical systems, including robotics and autonomous vehicles, ensuring safety guarantees with minimal input modification. Wind Energy: Uses UAVs for wind field estimation in farms, improving turbine efficiency through adaptive measurement strategies. Quantum Sensing: Advances in shaken lattice interferometry for precision gravity measurements, part of the NASA-funded Quantum Pathways Institute. Grants & Collaborations: Leads the NSF-funded CMMI-DCSD project (Award 2411667) on CBF design and the NASA STRI Quantum Pathways Institute. Collaborates with industry partners like NAVSEA and academic institutions globally. Labs & Teams: Directs the ROCC lab, focusing on real-time control systems. Supervises a multidisciplinary team of PhD and MS students working on robotics, quantum control, and energy systems.

• Augmented Reality
• Human-Centric Manufacturing
• Industry 5.0
• +3 more

Ahmed Khafaga is a Research Fellow and Doctorate Student at the Centre for Manufacturing and Materials, specializing in the integration of immersive technologies for human-centric manufacturing systems. His work focuses on enhancing resource efficiency and worker wellbeing through Industry 5.0 principles, with active contributions to digital manufacturing and smart factory innovations. His research spans Augmented Reality, Industry 5.0, Human-Centric Manufacturing, and Digital Manufacturing, emphasizing human-operator-centered design in industrial environments. He investigates how immersive technologies can optimize production processes while prioritizing worker safety and ergonomics, with secondary expertise in metrology and non-contact measurement techniques for industrial quality assurance. Analysis of his publications reveals a consistent trajectory toward human-technology symbiosis in manufacturing, where Augmented Reality and cobot systems bridge Industry 4.0 automation with human-centric values of Industry 5.0. His work demonstrates growing influence in smart manufacturing literature, particularly in contextualizing immersive technologies for practical industrial adoption. Ahmed serves as Principal Investigator for the active thesis project 'Industry 5.0 Enhancing Resource Efficiency And Workers’ Wellbeing With The Use Of Immersive Technologies' (commenced January 2022), which examines real-world implementation of AR assistance systems in manufacturing workflows to improve both productivity and occupational health. He operates within the Centre for Manufacturing and Materials research ecosystem, collaborating on interdisciplinary projects that merge digital engineering with human factors analysis to develop next-generation manufacturing solutions.

Germano VeigaView profile

Assistant Professor

• Industrial Robotics
• Robotics and Automation
• Human-Robot Collaboration
• +3 more

Germano Veiga is an Assistant Professor at the Faculty of Engineering of the University of Porto and Senior Researcher at INESC TEC in Porto. He holds a PhD in Mechanical Engineering (Robotics and Automation) from the University of Coimbra (2010). His research focuses on future industrial robotics, including plug-and-produce technologies, mobile manipulators, and human-robot interfacing. He has led major EU projects such as H2020 ScalABLE4.0 and coordinated teams in FP7 initiatives like CARLoS and STAMINA. His work emphasizes automation in automotive manufacturing, sensor integration, and collaborative robotics. Education: PhD in Mechanical Engineering (Robotics and Automation), University of Coimbra, 2010 Mechanical Engineering Degree Research Interests: Industrial robotics, human-robot collaboration, automated manufacturing systems, 3D sensing, and quality control. His recent projects address challenges in automotive assembly lines, bin-picking robotics, and ergonomic laboratory automation. Recent Projects: Coordinator of H2020 ScalABLE4.0 (2017-?) FP7 ECHORD Executive Committee (2009-2012) FP7 SMErobotics (part of coordination team) Advising & Grants: Supervised 6+ graduate theses in robotics and automation. Active in EU-funded research coordination. Labs & Teams: Leads robotics teams at INESC TEC focusing on Industry 4.0 solutions and cyber-physical systems integration.

Jeremy RickliView profile

Associate Professor

• Sustainable Manufacturing
• Disassembly Automation
• Digital Manufacturing
• +5 more

Dr. Jeremy Rickli is an Associate Professor in the Department of Industrial and Systems Engineering at Wayne State University. He founded the Manufacturing and Remanufacturing Systems Laboratory (MaRSLab) , focusing on sustainable manufacturing, disassembly automation, and data-driven decision-making in production systems. His work bridges academic research with industrial applications through collaborations with Ford Motor Company and NSF-funded initiatives. Ph.D. in Industrial & Systems Engineering (2013), Virginia Tech M.S. (2008) and B.S. (2006) in Mechanical Engineering, Michigan Tech MaRSLab explores four key research areas: Uncertainty Management in Remanufacturing , Data-Driven Decision Innovation , Collaborative Robotic Automation , and Point Cloud Quality Monitoring . Notable projects include NSF REU Site leadership for sustainable manufacturing education and DOE-funded critical materials recovery research. His research trends emphasize manufacturing sustainability (11/15 articles), robot-human collaboration (5/15), and advanced quality monitoring (4/15). Key methodologies include data analytics (6/15), disassembly optimization (5/15), and point cloud analysis (3/15). Scientific Recognition Outstanding WSU ISE Faculty Award (2014/2015) NSF IGERT Trainee in Sustainable Futures (2006-2008) Advisor to award-winning student research (1st place, 2015 Great Lakes IIE Conference) Dr. Rickli mentors through both formal advisement (1 named student) and NSF REU program leadership. His NSF and MTRAC grants support transformative work in robotic welding , aluminum stress analysis , and sustainable systems . The lab maintains Detroit-focused outreach through Athletes for Charity STEM Youth Literacy Program and WSU STEM Day .

L. PeternelView profile

Researcher

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

L. Peternel is a Robotics researcher at Delft University of Technology's Faculty of Mechanical, Maritime and Materials Engineering, specializing in Human-Robot Interaction and Rehabilitation Robotics. With 56 research outputs including conference contributions, journal articles, and patents, Peternel leads cutting-edge work in impedance control, teleoperation, and collaborative robotics applications spanning medical rehabilitation, off-Earth habitat construction, and service robotics. Research focuses on developing advanced control frameworks enabling natural human-robot collaboration. Key areas include impedance-based teleoperation systems, human motor control-inspired co-manipulation strategies, and biomechanics-aware robotic physiotherapy. Recent work explores quadruped navigation, supermarket service robots with LLM interfaces, and off-Earth habitat construction systems that integrate computer vision with human-robot teamwork. Publications demonstrate strong emphasis on practical implementations with real-world impact across medical, industrial, and extraterrestrial environments. Article trends reveal consistent focus on physical human-robot interaction mechanisms, particularly impedance control methodologies and safety-critical applications. The research portfolio spans rehabilitation robotics (shoulder therapy systems), collaborative construction (off-Earth habitats), and service robotics (supermarket assistants), with increasing integration of AI and computer vision components in recent years. Best Paper Award at FICTA 2024 for Computer Vision- and Human-Robot Interaction-Supported Assembly Finalist Best Interactive Paper Award at Humanoids 2023 for robotic shoulder rehabilitation work Peternel leads the Rhizome project developing autonomous systems for off-Earth habitat construction and collaborates extensively across disciplines including biomechanics, computer science, and aerospace engineering. Media coverage including the Dutch press feature "Een robot als collega" highlights real-world impact of this research. Supervised work includes PhD candidates in robotics, with ongoing projects focusing on patient-centered rehabilitation systems and autonomous construction robotics for space applications.

Amir PIRAYESHView profile

Associate Professor

• Supply Chain Management
• Process Modeling
• Simulation
• +12 more

Dr. Amir Pirayesh is an Associate Professor in Operations, Supply Chain and Information Management at KEDGE Business School, France. His research focuses on supply chain optimization, process modeling, and sustainability in manufacturing and logistics systems. He holds a PhD in Industrial and Mechanical Engineering from École nationale supérieure des arts et métiers (ENSAM) and previously worked at ENSAM as an ATER (Associate Professor of Teaching and Research). He has contributed extensively to European research projects under the Factories of Future and Horizon 2020 programs. PhD in Industrial and Mechanical Engineering (ENSAM, 2014) Current affiliation: KEDGE Business School Prior affiliation: InterOP-VLab His research spans four key domains: supply chain optimization (vaccine distribution, waste recycling), smart manufacturing (collaborative robots, assembly line balancing), enterprise modeling (interoperability, conceptual frameworks), and sustainability analytics (circular economy, environmental/social integration). Recent work applies reinforcement learning to scheduling and semantic frameworks for IoT interoperability. Article trends show a strong focus on pandemic response logistics (2021-2025), followed by collaborative robotics (2024), smart grid energy management (2022-2023), and circular economy applications (2023-2025). Co-authors include M. Mohammadi, M. Karimi Mamaghan, and O. Battaia, indicating collaborations across French, Iranian, and Portuguese institutions. As a former InterOP-VLab researcher and ENSAM ATER, Dr. Pirayesh has extensive experience in model-driven enterprise management, with applications in healthcare logistics, sustainable manufacturing, and digital dentistry. He teaches courses on supply chain modeling, simulation, and information systems optimization.

• Human-Robot Collaboration
• Safety Assessment
• Maintenance Management
• +5 more

Liliane Pintelon serves as Full Professor at KU Leuven's Faculty of Engineering Science within the Department of Mechanical Engineering. She leads the Subdivision Maintenance and Health Care Logistics and holds key memberships in the Division Industrial Management, Traffic and Infrastructure, LIM - KU Leuven Institute for Mobility, Council of the Faculty of Engineering Science, POC Mobiliteit en Supply Chain, and Education-Support Committee Group Biomedical Sciences. Her research centers on systemic safety frameworks for human-robot collaboration in industrial and healthcare settings, with emphasis on risk assessment methodologies, maintenance optimization, and health care logistics. Current investigations integrate multi-criteria decision making for hospital wayfinding and supply chain resilience in robotic warehouse systems, addressing critical gaps in technology adoption and worker safety. Recent publications reveal a dominant trend toward system-wide safety validation in human-robot interdependencies, particularly through FMEA-PRAT hybrid models and empirical cobot safety readiness assessments. Her work consistently bridges industrial robotics with healthcare applications, demonstrating cross-sector applicability in warehouse management, hospital navigation, and maintenance-spare parts optimization. As primary supervisor for PhD candidates including N. Berx and A. Adriaensen, she directs major funded projects such as the Safety Readiness Model for Human-Robot Collaboration (2020-2024), Systemic Safety Assessment Method for Human-Robot Interdependencies (2018-2023), and Home Care Technology Management (2015-2025), reflecting sustained research leadership in operational systems engineering.

Matthias KrausView profile

Researcher

• Conversational AI
• Proactive Conversation
• Spoken Dialogue Systems
• +4 more

Dr. Matthias Kraus is a Researcher at the Chair of Human-Centered Artificial Intelligence , part of the Institute of Computer Science under the Faculty of Applied Computer Science at the University of Augsburg . His work bridges Conversational AI , Spoken Dialogue Systems , and Human-Computer Trust , with a focus on proactive interaction and multimodal user modeling. His research explores trust modeling in mixed-initiative systems, socially-aware reinforcement learning for dialogue agents, and responsible personalization in human-robot cooperation. He has published extensively on multi-user chatbots , proactive tutoring , and trust dynamics in collaborative environments. Key article trends include dialogue act annotation , household robotics , and ethics in conversational interfaces . His team develops user-centered AI for healthcare, education, and industry, as seen in projects like KodiLL and MindBot .

• Technology Management
• Industry Convergence
• Technology Forecasting
• +3 more

Nathalie Sick is a Senior Lecturer in Contemporary Technology Management at the University of Technology Sydney (UTS), affiliated with the School of Mechanical and Mechatronic Engineering and the Centre for Advanced Manufacturing. She holds a PhD in innovation management from the University of Münster and has held roles including Deputy Head of School (Teaching and Learning) at UTS. Her research focuses on interdisciplinary collaboration, industry convergence, and technology forecasting, particularly in technology-driven sectors like energy storage and Industry 4.0. Education: PhD in Innovation Management (University of Münster), MSc in Business Administration and Industrial Engineering. Research interests include bridging boundaries between academia, industry, and government; leveraging digital technologies for sustainable production; and analyzing innovation ecosystems. She has contributed to frameworks for Industry 4.0 adoption, collaborative robotics safety, and value stream mapping. Her work spans over 100 publications, emphasizing actionable insights for socio-technical systems and open innovation strategies. Teaching and leadership: Developed courses in technology management, strategic leadership, and advanced manufacturing. Spearheaded programs like the Associate Degree of Advanced Manufacturing and the NETM micro-credential in industrial automation. Active in curriculum design and interdisciplinary education initiatives. Labs and teams: Core member of UTS's Centre for Advanced Manufacturing, leading projects on convergence in manufacturing and sustainable technologies. Collaborates with Siemens and industry partners on applied research.

Saif HuqView profile

Senior Lecturer

• Robotics Engineering
• Rehabilitation Robotics
• Dynamics Modelling and Control
• +5 more

Dr. Saif Huq is a Senior Lecturer in Robotics Engineering and Course Leader for the Robotics with Artificial Intelligence MSc at the School of Computing and Digital Media, London Metropolitan University. He holds a PhD in rehabilitation robotics from the University of Sheffield, UK, and academic degrees from the University of Dhaka, Bangladesh. Prior to London Met, he held roles at Institute of Technology Sligo (Ireland) and University Tun Hussein Onn Malaysia. His research focuses on dynamics modelling, control systems, collaborative robotics, and rehabilitation robotics, with a strong emphasis on applications like FES-induced movements, UAV magnetic signature attenuation, and automated manufacturing processes. Dr. Huq has secured grants exceeding €150,000 for projects such as remote robotics labs and autonomous cobot operation. He teaches modules including Robotic Systems, Sensors & Control, and Applied Robotics, and actively supervises PhD students. Education: PhD in Rehabilitation Robotics, University of Sheffield (UK) MSc in Applied Physics and Electronics, University of Dhaka (Bangladesh) BSc (Hons) in Applied Physics and Electronics, University of Dhaka (Bangladesh) Research Interests: Modeling and control of robotic systems Collaborative robotics (cobotics) Soft robotics and safety protocols Multi-modal sensor fusion for autonomous systems Functional electrical stimulation (FES) applications His work bridges theoretical control systems with real-world engineering challenges in healthcare and manufacturing. Recent Research Trends: Dr. Huq’s publications emphasize adaptive control algorithms for rehabilitation robotics, magnetic interference mitigation in UAVs, and thermal control in automated welding processes. His 2017-2019 work focused on FES-induced movement restoration for paraplegics, while earlier projects (2014-2015) addressed UAV actuator design and fiberglass composite manufacturing. Grants & Collaborations: £5,000 Rescaling Fund (2020-2022): Robot-assisted waste management with AI €75,000 Connacht Ulster Alliance Bursary (2020-2024): Cobot obstacle avoidance €75,000 President’s Bursary (2020-2024): Zero-emission mobility systems Teaching & Leadership: As Course Leader for the Robotics with AI MSc, he designed modules like Robotic Systems and Sensors, and actively integrates research into teaching through labs like the Remote Robotics Educational Lab (2021-2022). Labs & Teams: His research leverages collaborations with academic and industry partners to advance robotics applications in healthcare and manufacturing sectors.

Robert Huy GipView profile

Visiting Assistant Professor

• Human Resource Management
• Organizational Behavior
• Leadership
• +3 more

Robert Huy Gip is a Visiting Assistant Professor and ACES Fellow at Texas A&M University's Department of Hospitality, Hotel Management and Tourism, situated within the Conrad N. Hilton College of Global Hospitality Leadership. His academic work bridges rigorous research with industry实践, informed by over eight years of professional experience in hospitality, hotel, and events management. Education: B.S. Interdisciplinary Studies, University of Central Florida (2016) M.S. Hospitality and Tourism Management, University of Central Florida (2018) Ph.D. Hospitality Administration, University of Houston (2023) Research Interests: Dr. Gip focuses on human resource management, organizational behavior, leadership effectiveness, and employee health/well-being. He explores topics like leadership diversity, workplace mistreatment mitigation, and the intersection of technology (e.g., service robots) with human resources in hospitality settings. His work emphasizes practical applications for improving service industry operations and employee well-being. Awards & Recognition: Phi Beta Delta Honor Society (2023) 2022 Best Paper Award in The Service Industries Journal (co-authored) Professional Contributions: Dr. Gip serves on the editorial board of International Journal of Tourism, Culture & Communication and reviews for top hospitality journals. His research has been presented at numerous academic conferences, advancing discourse on modern hospitality leadership and employee dynamics.

• Automation and Robotics
• Human-Robot Collaboration
• Manufacturing Technologies
• +12 more

Dario Antonelli is a Tenured Associate Professor at the Polytechnic University of Turin , Department of Management and Production Engineering (DIGEP). He is a member of the Interdepartmental Center J-Tech@PoliTO and has been active in research and teaching since 2003. Academic Rank: Associate Professor Department: Management and Production Engineering (DIGEP) Research Affiliations: J-Tech@PoliTO Research interests focus on Automation and Robotics , particularly Human-Robot Collaboration in industrial domains. His work bridges Industry 4.0 with Educational Technologies , addressing sustainability, inclusivity, and smart manufacturing systems through Machine Learning , Human-Centered Design , and Collaborative Robots . Teaching and Training Projects include leadership roles in Erasmus+ initiatives like ICoLearn (2023-2026) and MAESTRO (2019-2022), focusing on Blended Learning , Virtual Reality education, and Industry 4.0 pedagogy. He teaches Mechanical Technology and Production Systems at graduate and undergraduate levels. ICoLearn: Digital Transformation & Sustainable Growth JANUS: VR-Based Robotics Education MAESTRO: Sustainable Industry 4.0 Training TIPHYS: Social Network Doctoral Education Publications span AI applications in assembly, Digital Twins for mobile manipulators, Blended Learning frameworks, and inclusive manufacturing practices. His work appears in journals like Journal of Intelligent Manufacturing , CIRP Annals , and Sustainability . Research Projects include EU-funded CO-DESNET, corporate agreements with KIRON, and regional initiatives like ADIUVARE (2011-2013) and AMICO (2010-2012), focusing on collaborative demand networks , adaptive welding cells , and healthcare process innovation .

• Robotics
• Automatic Control
• Human-Robot Interaction
• +5 more

Prof. Cesare Fantuzzi is a Full Professor at the Department of Engineering Sciences and Methods , University of Modena and Reggio Emilia. His expertise lies in robotics, automatic control, and human-robot interaction , with a focus on Industry 4.0/5.0 applications . He teaches courses in Industrial Robotics, Automatic Control, and Industrial System Control , emphasizing practical implementation in real environments. His research spans collaborative robotics, fault diagnosis systems, adaptive interfaces, and digital twin technology . Notable projects include IOT-enabled diagnostics for welding cobots , high-velocity robotic programming architectures , and smart AGV traffic management . Publications cover control barrier functions, passivity-based interaction methods, and universal design for industrial HMIs , often in collaboration with European research teams. Recent work explores self-configuring BLE networks , adaptive training systems , and natural gesture-based robot control . He employs Microsoft Teams for teaching materials and open-source IoT platforms in research implementations.