Human-Machine Interface Design Professors and Supervisors in Netherlands

Myrthe Plaisierمشاهده پروفایل

استادیار

Eindhoven University of TechnologyNetherlands

Dr. Myrthe Plaisier is an Assistant Professor at the Human Technology Interaction group within the Industrial Engineering and Innovation Sciences school at Eindhoven University of Technology . She holds a PhD in Experimental Physics from Utrecht University (2010) and conducted postdoctoral work at Bielefeld University and Vrije Universiteit Amsterdam. Research Interests : Multisensory technology for sensory substitution Haptic perception and tactile feedback systems Assistive technology for deafblind individuals Audiovisual temporal integration in virtual environments Vibrotactile spatial acuity Article Trends : Her research spans haptic device design, spatial perception studies, sensory substitution methodology, and tactile communication frameworks. Recent works focus on outdoor virtual reality synchronization, wearable navigation aids, and vibrotactile co-design tools for accessibility. Scientific Awards : 2010: Thesis award from Dutch Psychonomics Society 2011: NWO Rubicon grant 2013: NWO VENI grant 2024: Horizon 2020 Marie Sklodowska-Curie grant #812719 Grants & Collaborations : She has secured multiple competitive grants including NWO VENI and Rubicon, and participates in European consortiums like SUITCEYES. Her work involves cross-disciplinary collaboration with institutions across Germany and the Netherlands.

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Jan Martijn van der Werfمشاهده پروفایل

دانشیار

Utrecht UniversityNetherlands

Jan Martijn van der Werf serves as Associate Professor in Process Science at Utrecht University's Faculty of Science, Department of Information and Computer Science. Since September 2022, he has held the position of Programme Director for the Bachelor Information Sciences, overseeing curriculum development and academic operations for both Business Informatics and Information Sciences programs. Education: Dual PhD in Computer Science from Eindhoven University of Technology and Humboldt Universität zu Berlin (Thesis: 'Compositional Design and Verification of Component-based Information Systems') Research Focus: Van der Werf's work centers on process mining and behavioral modeling in software architectures, with emphasis on the interplay between data and processes. His expertise spans Conceptual Modelling of Information Systems , Enterprise Architecture , and Service-Oriented Architecture , addressing challenges in process discovery, verification, and practical implementation within complex organizational contexts. Current research explores the human dimensions of process mining adoption and AI-driven event log extraction. Publication Trends: Recent work (2023-2024) reveals increasing focus on methodological rigor in process discovery, human factors in process mining initiatives, and formal verification techniques for Petri nets. His publications bridge theoretical foundations with practical applications, particularly in event log extraction using large language models and visualization of complex process chronologies from heterogeneous data sources. Academic Contributions: Van der Werf teaches core courses in Process Modelling and Software Architecture , actively participates in academic workshops (including the 2020 'Information System Modeling' workshop), and supervises graduate research. His Scopus profile indicates 77 research outputs and supervision of 3 students, reflecting sustained scholarly engagement in process science and information systems.

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Merel Scholmanمشاهده پروفایل

استادیار

Utrecht UniversityNetherlands

Dr. Merel Scholman is an Assistant Professor at Utrecht University within the Department of Languages, Literature and Communication and affiliated with the Institute for Language Sciences . Her research focuses on how people use language to create meaning through discourse relations , investigating cognitive processing of coherence markers in written, spoken, and visual communication. PhD in Language Science and Technology from Saarland University (summa cum laude, 2019) Research Master in Linguistics from Utrecht University (cum laude, 2015) Visiting researcher at Lancaster University and University of Edinburgh Her work combines theoretical psycholinguistics with computational modeling , using quantitative empirical methods like corpus analysis and crowdsourcing experiments. Recent research examines cross-modal discourse signals across Nigerian Pidgin , English , and European languages , while methodological contributions explore annotation reliability and experimental design. Publications demonstrate expertise in discourse markers , coherence relations , and low-resource NLP , with applications to gesture synthesis , spoken language analysis, and educational tools . She received the Veni grant for her project on natural discourse structure signals across modalities. As an educator, she contributes to the Communication and Information Sciences (BA) and Linguistics (RMA) programs, teaching courses like Writing Style as a Choice . Her methodological innovations in crowdsourcing and annotation frameworks have shaped discourse analysis practices in computational linguistics.

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Ed Nijssenمشاهده پروفایل

استاد

Eindhoven University of TechnologyNetherlands

Ed Nijssen is a Professor of Technology Marketing at the Eindhoven University of Technology (TU/e) within the Innovation, Technology Entrepreneurship and Marketing (ITEM) group of the School of Industrial Engineering. His research integrates marketing, innovation, and sales strategy, with a focus on servitization and digital transformation in B2B contexts. He has held visiting professorships at Michigan State University, NYU, and Bocconi University. Research interests include: Servitization (solutions-based business models) Marketing/Sales-R&D interface Digital solution selling Brand advocacy in frontline services Product-service systems Scientific contributions span over 143 research outputs, including systematic reviews on B2B branding and effectual entrepreneurial marketing. His awards include multiple Teacher of the Year recognitions and publication prizes. He teaches courses in Entrepreneurial Marketing , Marketing and Innovation , and Validation to Sales , while serving on editorial review boards for Industrial Marketing Management and Journal of Product Innovation Management .

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Mohsen Kaboliمشاهده پروفایل

استادیار

Eindhoven University of TechnologyNetherlands

Mohsen Kaboli is an Assistant Professor (Part-time) at Eindhoven University of Technology (TU/e) in the Netherlands, affiliated with the Department of Electrical Engineering and the Electronic Systems group. Since 2018, he has served as head of the AI, Robotics & Cognitive Vehicle research lab at BMW Group’s Center of Invention in Munich, Germany. Previously, he held positions at Radboud University’s Institute for Brain and Cognition (2019-2022) and Technical University of Munich (TUM) as a postdoctoral research fellow. His research focuses on Embodied Robotics, Visuo-Tactile Interactive Perception, and Machine Learning, with applications in Robotic Grasping, Human-Robot Collaboration, and Neuromorphic Computing. He leads European-funded projects like PHASTRAC (Oscillatory Neural Networks for AI Edge Computing) and INTUITIVE (Tactile User Interfaces). Keywords: Tactile Intelligence, AI, Robotics Application Domains: Mobile Robotics, Medical Instrumentation, Neuroprosthetics His recent publications (e.g., ViTract, Shared Visuo-Tactile Perception) emphasize robust object pose estimation and shape reconstruction using Bayesian filtering and Graph Neural Networks. He has authored ~40 academic works and contributed to 20 patents. Scientific Awards : IEEE Senior Member (2018) Georges Giralt Ph.D. Award (Finalist) IEEE ICRA Outstanding Paper Award (Finalist, 2023) IEEE FLEPS Outstanding Student Award (Winner, 2022) IEEE ROSE Outstanding Paper Award (Winner, 2024) Mohsen Kaboli serves as Editor/Associate Editor for IEEE ICRA, IROS, R-AL, T-RO, and IJRR. His work bridges tactile perception, AI, and robotics, with impacts in wearables, medical devices, and autonomous systems.

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Dipti Kapoor Sarmahمشاهده پروفایل

مدرس

University of TwenteNetherlands

Dipti Kapoor Sarmah is a Lecturer specializing in cybersecurity, steganography, and cryptography. Her work bridges theoretical and applied aspects of secure data transmission, digital forensics, and cyber threat mitigation. Current role: Lecturer in Semantics, Cybersecurity & Services Key research areas: Cryptography, Steganography, Phishing analysis, IoT security Her research explores hybrid cryptographic-steganographic systems, gamified cybersecurity education, and innovative approaches to combat MageCart e-skimming attacks using reverse proxy architectures. She has systematically analyzed zero-knowledge protocols (zk-SNARK, zk-STARK, Bulletproofs) for privacy-preserving authentication. Recent publications address pandemic-era phishing trends, consumer IoT security standards, and data mining applications in insurance fraud detection. Her work frequently intersects with artificial intelligence and machine learning techniques for secure image processing. Notable recognition includes the EMMSAD 2025 Best Paper Award for collaborative research on phishing attack ontologies. Her activity spans diverse formats including peer-reviewed journal articles, conference contributions, and systematic literature reviews. With a Scopus h-index of 5 and over 128 citations, her research output spans 2008-2025, showing consistent contributions to cybersecurity, particularly in steganography optimization algorithms and digital forensics.

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Jan-Willem van 't Kloosterمشاهده پروفایل

دانشیار

University of TwenteNetherlands

Jan-Willem van 't Klooster is an Associate Professor affiliated with the Digital Society Institute, TechMed Centre, and BMS Lab at the University of Twente. His research bridges Artificial Intelligence, Human-Computer Interaction, and Health Informatics, focusing on social robotics, virtual reality, and e-health technologies. Education: PhD in a field related to Artificial Intelligence or Human-Computer Interaction. His work explores the societal context of AI, with a focus on physiological computing, mental workload detection, and user experience in digital systems. Recent projects include AI-reinforced social robotics for rheumatic disease patients and VR-based emotion assessment using multimodal data. Scientific awards include the Best Conference Paper Award (2019). He has contributed to datasets like Perceived Mental Workload Detection using Multimodal Physiological Data and served as an editor for conference proceedings such as IHCI 2024. His research trends emphasize neurostimulation, wearable device validation, and mobile e-coaching applications. Scientific Awards Best Conference Paper Award (2019) Van 't Klooster engages in public outreach, including media appearances on the Dutch CoronaMelder app and its societal impact. He actively participates in academic activities like invited talks on social robotics and oral presentations at international conferences.

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Saber Darmoulمشاهده پروفایل

دانشیار

University of TwenteNetherlands

Dr. Saber Darmoul is an Associate Professor specializing in Systems Engineering and Multidisciplinary Design. His research bridges artificial intelligence with industrial applications, focusing on cyber-physical production systems, operational resilience, and smart transportation. He actively explores knowledge representation, reinforcement learning, and agent-based modeling to address complex system challenges. Key Research Interests: Operational resilience, AI in manufacturing, multi-agent systems, smart mobility Technical Expertise: Ontology modeling, simulation platforms, immune-inspired control architectures His recent publications (2025-2019) demonstrate a consistent focus on integrating artificial immune systems into control architectures for transportation and manufacturing. Notable trends include: Development of knowledge-based systems for dynamic reconfiguration Application of multi-criteria decision frameworks in production environments Advancing predictive maintenance strategies through distributed systems Exploring 6G system-of-systems engineering While no explicit awards or student advisement information appears in available records, his 15 most recent publications reflect sustained academic productivity and evolving focus from foundational control systems (2017-2019) to advanced applications in Industry 4.0 (2020-2025).

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Shenghui Wangمشاهده پروفایل

استادیار

University of TwenteNetherlands

Shenghui Wang is an Assistant Professor in Human Media Interaction with a focus on hybrid human-AI systems. Affiliated with OCLC Research Europe since 2012, his work bridges artificial intelligence, virtual reality, and cultural heritage digitization. Research Interests: Ontology modeling, eye-tracking integration, multimodal conversational agents, and FAIR metadata principles for cultural data Key Activities: Organized HHAI 2025 and ISWC 2025 conferences; presented at ICT Open 2024 and Hybrid Intelligence Consortium meetings Current Work: Developing social VR frameworks for collaborative art exploration and evaluating RAG-based chatbots in healthcare contexts His recent publications emphasize Human-Computer Interaction in educational and cultural settings, with specific attention to: Personalized learning systems Virtual heritage applications Ontology-driven VR environments Author disambiguation algorithms Wang's research contributes to UN Sustainable Development Goals through innovative applications in education, cultural preservation, and accessible AI systems.

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Herman van der Kooijمشاهده پروفایل

استاد

University of TwenteNetherlands

Prof. Dr. Ir. Herman van der Kooij is a leading academic in Biomechatronics and Rehabilitation Technology , affiliated with the University of Twente (0.8 FTE) and Delft University of Technology (0.2 FTE). He chairs the Biomechatronics group at UT and has made groundbreaking contributions to wearable robotics for medical and industrial applications. His research focuses on human balance control , neuromechanical modeling , and exoskeleton-assisted mobility . He develops technologies like the LOPES gait rehabilitation robot and the Mindwalker exoskeleton , combining experimental and computational approaches to advance wearable robotics. His work spans soft robotics , real-time EMG-driven control , and low-cost sensor integration . Van der Kooij has published over 170 peer-reviewed works and received prestigious Dutch VIDI and VICI grants . He leads national programs in Wearable Robotics and 4TU Soft Robotics , and serves as associate editor for IEEE journals. He founded two specialized labs: the Rehabilitation Robotics Laboratory (with Roessingh Research and Development) and the Virtual Reality Human Performance Lab , which integrates robotics, motion capture, and VR for testing. He emphasizes active learning in courses like Biorobotics and Biomechatronics , encouraging students to learn through hands-on projects and mistakes. His work also explores non-medical applications of exoskeletons, including industrial ergonomics and entertainment technology .

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Antonios Liapisمشاهده پروفایل

دانشیار

Codarts RotterdamNetherlands

Antonios Liapis is an Associate Professor at the Institute of Digital Games, University of Malta. He completed his PhD in September 2014 under the supervision of Georgios N. Yannakakis at the IT University of Copenhagen. His academic journey includes an M.Sc. in Information Technology from the same institution and a 5-year Diploma in Electrical and Computer Engineering from the National Technical University of Athens. Dr. Liapis has held various academic positions at the University of Malta: Post-doctoral Researcher (2014-2015), Lecturer (2015-2020), Senior Lecturer (2020-2022), and currently Associate Professor (2022-present). He has served as General Chair for multiple international conferences including FDG (2020), GALA (2019), and EvoMusArt (2018-2019). He is an Associate Editor of the IEEE Transactions on Games and a member of the Games Technical Committee of the IEEE Computational Intelligence Society. His research focuses on Artificial Intelligence as an autonomous creator and as a facilitator of human creativity. Key areas include computationally intelligent tools for game design and computational creators that blend semantics, visuals, sound, plot, and level structure to create various game genres including horror, adventure, shooter, and dungeon crawler games. His work has resulted in over 150 peer-reviewed publications and several research awards. Dr. Liapis has secured multiple research grants from the European Commission, including projects on AI-powered robotic material recovery, virtual reality aided design, and learning science through coding and play. His notable project series "Data Adventures" demonstrates the use of open data from Wikipedia, DBpedia, Wikimedia Commons, and OpenStreetMap to automatically generate adventure games with complete plots, characters, items, and locations. His scientific contributions have been recognized with several awards including Best Paper Awards at major conferences, Best Reviewer Award, and Runner-Up Best Student Paper Award. Dr. Liapis has also co-organized 16 workshops in diverse conferences throughout his career. Research interests include: Artificial Intelligence for creative applications Procedural Content Generation in games Computational Creativity systems Machine Learning for game design Affective Computing in virtual environments Human-AI collaboration in creative processes His recent work shows a strong trend toward integrating Large Language Models with game design, exploring quality diversity algorithms for creative applications, and advancing affect modeling for improved player experience. The research spans computer science, artificial intelligence, game studies, and human-computer interaction, with practical applications in education, entertainment, and design.

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Pengcheng Liuمشاهده پروفایل

دانشیار

National Research Institute for Mathematics and Computer ScienceNetherlands

Pengcheng Liu is an Associate Professor in the Department of Computer Science at the University of York, holding this position since January 2020. He maintains active memberships in IEEE, IEEE Robotics and Automation Society (RAS), IEEE Control Systems Society (CSS), and the International Federation of Automatic Control (IFAC), while serving on the IEEE Technical Committee for Bio Robotics, Soft Robotics, Robot Learning, and Safety, Security and Rescue Robotics. His research spans robotics, machine learning, automatic control, and optimization, with specialization in humanoid robotics, rehabilitation systems, agricultural applications, and human-computer interaction. Key focus areas include developing lightweight neural networks for embedded agricultural systems, bionic-companionship frameworks for service robots, EMG-controlled rehabilitation devices, and precise control of robotic manipulators using ROS/Gazebo. His work consistently bridges theoretical control systems with practical implementations in healthcare and precision agriculture. Analysis of his publication trends reveals strong emphasis on applying machine learning to real-world robotics challenges, particularly in resource-constrained environments (e.g., agricultural robotics with efficient neural networks) and human-centered applications (e.g., rehabilitation gloves and brain-computer interfaces). Recent work demonstrates increasing integration of computer vision with control systems for autonomous operation. His notable scientific awards include: Global Peer Review Awards from Web of Science (2019) Outstanding Contribution Awards from Elsevier (2017) Dr. Liu has secured and managed research funding through major programs including EPSRC, Newton Fund, Innovate UK, Horizon 2020, Erasmus Mundus, FP7-PEOPLE, and NSFC. He serves as a regular reviewer for EPSRC, NIHR, and NSFC grant panels while reviewing for over 30 flagship journals and conferences in robotics, AI, and control systems. His editorial roles include Associate Editor for IEEE Access and PeerJ Computer Science, where he has edited 17 publications. Though specific lab affiliations aren't detailed, his research in agricultural robotics, rehabilitation systems, and humanoid platforms suggests active collaboration with York's robotics and AI research groups, particularly in developing practical implementations of control algorithms and machine learning models for real-world deployment.

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