جستجوی استاد راهنمای دانشگاهی

Jacky Bourgeois is an Assistant Professor of Data-Centric Design at Delft University of Technology's Faculty of Industrial Design Engineering (IDE), leading the Data-Centric Delft Design Lab. His work bridges Human-Computer Interaction, Data Science, and Participatory Design, focusing on methods like data donation to empower collaborative data exploration. He holds a computer science background, previously researching ubiquitous technologies for domestic energy practices of 'energy farmers' (solar households). Key projects include the PROMISE study on patient-led oncological care and the Data Donation initiative promoting ethical data practices. Education: Background in Computer Science; academic focus on sustainable design engineering and IoT. Teaching includes courses like 'Data-Centric Design for...' (2024) and 'Digital Product Development' (2023). Research Interests: Data as subjective inquiry material, data intimacy, data commons, and human-data interaction in home contexts. Notable contributions include PAIRcolator for collaborative data reflection and Tangi for 360° video insights. Awards include Best Paper at CHI 2025 and DIS '24 Best Paper. Grants & Collaborations: NWO-funded research on hospital sounds (2024), IoT Rapid Proto Labs for industry-academia partnerships, and ancillary role as a scientific employee at The Open University (2025–2027). Labs & Teams: Director of the Data-Centric Delft Design Lab; collaborates with the HCI Data & Design SIG. Current projects address ethical frameworks for data donation and patient-centered healthcare systems.

• Data-Centric Design
• Human-Computer Interaction
• Data Science
• +۵ مورد دیگر

Panos Markopoulos is a Professor of Design for Behavior Change at Eindhoven University of Technology (TU/e), affiliated with the Industrial Design department. He also serves as an Adjunct Professor at the University of Technology Sydney (UTS) and a Visiting Scientist at Kemphenhaeghe Expertise Center for Epileptology, Sleep Medicine, and Neurocognition. Academic Background: Electrical Engineering (NTUA), Computer Science (Queen Mary, University of London), and Human-Computer Interaction (PhD, Queen Mary) Research Focus: Ambient Intelligence, Behavior Change Support Systems, Wearable Technology, and Child-Computer Interaction Editorial Roles: Founding Editor of Elsevier’s Journal on Child Computer Interaction, Chief Editor of Taylor & Francis’ Behavior and Information Technology His research explores adaptive persuasive systems, family-aware technologies, and user-centered design methodologies. Key publications include work on persuasion profiling, collaborative design, and evaluation frameworks for children’s interactive products. He has contributed extensively to academic literature, with notable works spanning from 2004 to 2016, emphasizing personalized user experiences, ambient intelligence, and rehabilitation technologies. His expertise bridges interaction design, behavioral science, and technological innovation for societal impact. Professional Activities: European Commission evaluator, editorial leadership in HCI Teaching: Design for Behavioral Change, Final Master Project guidance

• Ambient Intelligence
• Behavior Change Support Technology
• Sleep Quality Monitoring
• +۶ مورد دیگر

Dr. Rong-Hao Liang is an Assistant Professor at Eindhoven University of Technology (TU/e), affiliated with both the Future Everyday Group (Department of Industrial Design) and the Signal Processing Systems Group (Department of Electrical Engineering). His research bridges intelligent sensing systems and user interface technology for ubiquitous computing and embodied human-computer interaction . He co-organized international ACM conferences (CHI, UIST, DIS) and has over 70 peer-reviewed publications and 10 patents. PhD in Computer Science (2014) and MSc in Electrical Engineering (2010) from National Taiwan University Founded GaussToys Inc. in 2015, focusing on magnetic-field sensors Cross-appointed to Electrical Engineering in 2021 His research explores intelligent sensing systems , tangible user interfaces , and physiological sensors for real-world challenges. Key trends in his work include ubiquitous health monitoring (e.g., preterm infants), wearable technology , and innovative interaction design . Articles like GaussBits and NFCStack demonstrate his focus on magnetic and RFID-based tangible systems . Scientific awards include the ACM CHI 2013 Best Paper Award , 2014 Honorable Mentions , and the ACM SIGGRAPH Asia 2012 Emerging Technologies Prize . He mentors passion-driven projects in user interface design and embedded systems , emphasizing technical rigor and creativity. His STRAP project (2020–2025) addresses heart disease prevention via big data and AI . Labs and teams include the Future Everyday Group and Signal Processing Systems Group , with collaborations across healthcare , education , and technology startups . His work aligns with UN Sustainable Development Goals , particularly good health and well-being .

• Human-Computer Interaction
• Tangible User Interfaces
• Intelligent Sensing Systems
• +۷ مورد دیگر

Himanshu Verma is an Assistant Professor at the Knowledge and Intelligence Design Group within the Faculty of Industrial Design Engineering at Delft University of Technology. His research focuses on Human-AI Collaboration, Cognitive Empathy, and designing AI systems attuned to human needs. Prior to TU Delft, he held postdoctoral roles at the University of Fribourg, EPFL, and HES-SO Valais-Wallis, Switzerland. Education: PhD in Computer Science (EPFL, Switzerland), focusing on collaborative group interactions and shared environments. Postdoctoral research in Human-Computer Interaction and Ubiquitous Computing. Research Interests: Empathy-Centric Design for inclusive technologies. Social Signal Processing in human-AI interactions. Health, well-being, and accessibility in AI systems. Key Projects: Co-leads the PERISCOPE (H2020) research project. Designs tools like EmpathiCH and COCTEAU for empathy-driven decision-making. Teaching: Design Analytics (2023–2024). Empirical Design Research (2024). Labs & Teams: Active in the Knowledge and Intelligence Design Group, focusing on AI ethics, hybrid workspaces, and empathetic systems.

• Human-AI Collaboration
• Cognitive Empathy
• Health and Well-being
• +۵ مورد دیگر

Bart J. Hengeveld is an Assistant Professor at Eindhoven University of Technology (TU/e), affiliated with the Industrial Design department within the Faculty of Industrial Design. He leads the Future Everyday research cluster, focusing on the intersection of sound design and IoT systems. His work explores how embedded technologies can communicate through sound and tangible interaction in ways that enhance human experience. Education: BSc/MSc in Industrial Design Engineering, Delft University of Technology (2003) PhD in Industrial Design, TU/e (2011), with concurrent training in double bass at Codarts Conservatory Research Interests: Acoustic communication in IoT systems Tangible interaction design Social implications of ubiquitous computing Sound as a medium for human-technology interaction Recent Research Trends: Focus on multimodal interfaces combining sound/light/haptics Studies on sound design for healthcare and smart living environments Investigations into ethical and inclusive IoT soundscapes Awards: Two Teacher of the Year awards at TU/e, reflecting his commitment to pedagogical excellence. Advising & Projects: Supervised 113 student projects including interactive installations like 'Naktis' and 'Sonostapp' Leading the €1.5M 'Role of Sound in Hybrid Work Environments' project (2023–2026) Organized TEI 2016 conference and serves on its steering committee Teams/Labs: Core member of TU/e's Future Everyday cluster, collaborating with multidisciplinary teams on embodied interaction research.

• Internet of Things (IoT) Interaction Design
• Sound Design
• Tangible Interaction
• +۳ مورد دیگر

Maarten van Steen is a Professor active in the fields of Distributed Systems , Artificial Intelligence , and Cybersecurity . With an h-index of 35 and over 5,400 citations, his work focuses on Edge AI , Privacy Preservation , and WiFi-Based Sensing . His research emphasizes non-intrusive authentication, anonymization techniques, and crowd monitoring without compromising individual privacy. Key research areas: Distributed Systems, Privacy Preservation, WiFi Security Recent projects: RoomKey, LocKey, FlowPrint Crowd-monitoring applications: Subway travelers, pedestrian dynamics Van Steen's work combines Machine Learning with Homomorphic Encryption to develop privacy-first solutions. He has contributed to mobile app fingerprinting , WiFi authentication , and blockchain scalability challenges. His 2024–2025 publications reveal trends in contextual security , crowd behavior analysis , and automated threat intelligence . Notable methods include Bloom Filters, automata learning, and WiFi beacon frame analysis. Dutch Cyber Security Best Research Paper Award 2024 Runner-up (shared prize) Van Steen supervises research teams and collaborates on datasets like Code for Threat Intelligence Processing and DeepCASE . His work spans 20+ years , with 208 total research outputs and significant contributions to decentralized systems, network traffic analysis, and urban mobility.

• Distributed Systems
• Artificial Intelligence
• Edge AI
• +۴ مورد دیگر

Dr. Marit Bentvelzen is an Assistant Professor at the Faculty of Science , Utrecht University , specializing in Human-Centered Computing . She holds a PhD in this field (2024) with her thesis titled Reflection by Interaction: How Technology can Support Users in Reflecting on Personal Data . Research Interests focus on designing technologies that support self-reflection , personal data interpretation , and human-computer interaction . Her work spans data visualization , virtual reality , and fitness tracking systems , emphasizing user-centered design and technology-mediated reflection . Publications highlight her contributions to reflective metrics in fitness trackers, VR-based reflection tools , and data physicalization . She explores how qualitative data representation (e.g., weather metaphors for stress) and smart toys can enhance intergenerational connectedness and self-compassion . Teaching includes courses on Human-Centered Computing at Utrecht University, bridging technology design and user experience principles.

• Human-Computer Interaction
• Personal Informatics
• Data Visualization
• +۶ مورد دیگر

Luca Ardito is an Assistant Professor in the Department of Control and Computer Engineering at the Polytechnic University of Turin, where he contributes to the Software Engineering research group and serves as an Editorial Board Member for PeerJ Computer Science. His educational background includes: BSc in Computer Engineering from Politecnico di Torino MSc in Computer Engineering from Politecnico di Torino Ph.D. in Computer Engineering from Politecnico di Torino Dr. Ardito's research focuses on mobile and ubiquitous computing, green software, programming languages, and empirical software engineering. He investigates mobile development/testing, software sustainability, programming language analysis (particularly Rust), and evidence-based software engineering methodologies. His work bridges theoretical frameworks with practical applications to enhance software quality and environmental efficiency. His sole authored publication analyzes Rust code properties through empirical metrics, demonstrating his specialization in programming language evaluation and software quality assessment. This aligns with broader trends in empirical software engineering research. No scientific awards were documented in the provided materials. Information regarding graduate student supervision and research funding sources was not specified in the available text. He actively participates in the Software Engineering research group at Politecnico di Torino, which investigates software development lifecycle optimization, testing methodologies, and emerging technology integration.

• Mobile and Ubiquitous Computing
• Green Software
• Programming Languages
• +۱ مورد دیگر

Mariet Theune serves as an Assistant Professor at the University of Twente's Digital Society Institute within the Human Media Interaction department. She specializes in artificial intelligence and human-computer interaction research, with particular expertise in natural language processing and conversational agent development. Her academic work has been recognized with multiple awards including the Best Student Paper Prize (2018) and Hypertext Douglas Engelbart Best Paper Award (2021). Active in her field, Theune contributes to academic publishing as an editor for journals like Personal and Ubiquitous Computing (2024) and Humanities (Switzerland) (2022). She also participates in conference organization (e.g., Shaping the Future of AI symposium 2024) and examination activities (e.g., PhD examinations 2024). Her research output consistently focuses on conversational systems, dialogue management, and text classification technologies. Theune's recent publications examine lexical alignment mechanisms in human-agent interactions, including systematic reviews (2025), GPT model comparisons (2024), price bargaining chatbot implementations (2024), and text classification approaches using annotator disagreement (2024). These works span computer science, AI, and human-computer interaction domains. Her research methodology emphasizes both technical implementation and user experience analysis. Scientific Awards: Best Student Paper Prize (2018) Hypertext Douglas Engelbart Best Paper Award (2021)

• Artificial Intelligence
• Natural Language Processing
• Human-AI Interaction
• +۳ مورد دیگر

Miguel Bruns Alonso serves as an Associate Professor in the Future Everyday cluster of the Department of Industrial Design at Eindhoven University of Technology (TU/e). He also holds the position of program director for the TU/e Innovation Space, which fosters interdisciplinary hands-on education bridging engineering design and entrepreneurship. Bruns Alonso's research focuses on the aesthetics and emotional expressivity of interactive products with programmable material qualities, a concept he terms "interactive materiality," with particular emphasis on haptic and shape-changing interfaces. His work explores how interactive products can respond to behavioral expressions with haptic feedback and shape change, investigating how shape change and haptic feed-forward subtly affect human behavior. Analysis of his publications reveals a consistent trajectory in understanding how physical interfaces can create meaningful emotional connections through dynamic material properties and responsive behaviors. His 2018 work on "Grand challenges in shape-changing interface research" established foundational frameworks The "Ripple thermostat" (2018) demonstrated practical applications in home environments His earlier works established theoretical foundations in behavior transformation through interactive materiality His research has been supported by significant funding including participation in GHOST (Generic Highly Organic Shape-changing inTerfaces), a successful Future Emerging Technologies project funded by EU-FP7. He has also been awarded a Fulbright Grant for his work as a visiting researcher. Bruns Alonso has extensive teaching experience at both bachelor's and master's levels. At the bachelor's level, he teaches courses relating to creativity and the basics of designing form and aesthetics of interaction. At the master's level, he teaches courses on dynamic and interactive form/materiality and how this affects perception and behavior. He previously held leadership positions as Director of Education for the bachelor's degree program and Deputy Director of the master's degree program in the Department of Industrial Design. His academic journey began with industrial design engineering studies at TU Delft, where he obtained both his MSc and PhD. His PhD research focused on "Relax! Inherent feedback during product interaction to reduce stress," exploring how interactive products can respond to behavioral expressions of affect through haptic feedback. He has also conducted research as a visiting researcher at the Center for Design Research of Stanford University (supported by a Fulbright Grant) and at the Design Research and Ubiquitous Computing Groups of Aarhus University in Denmark.

• Interactive Materiality
• Haptic Interfaces
• Shape-Changing Interfaces
• +۳ مورد دیگر

Andrea Brunello serves as an Assistant Professor (tenure-track) at the Department of Humanities and Cultural Heritage (DIUM) of the University of Udine, while maintaining a dual affiliation with the Department of Mathematics, Computer Science and Physics (DMIF) where he participates in the Data Science and Automatic Verification Laboratory. He holds a prominent position on the board of directors for the AI4CH Initiative, reflecting his unique bridging of technical AI development and humanities scholarship. His educational foundation includes a Computer Science degree earned through an international program between the University of Udine and Austria's University of Klagenfurt, followed by a PhD in Computer Science, Mathematics, and Physics from Udine. His doctoral research included a significant international component at the University of Western Australia, where he specialized in temporal logic and formal methods. Dr. Brunello's research program demonstrates remarkable interdisciplinary reach: Technical AI Development: Specializing in machine/deep learning architectures with emphasis on model interpretability (XAI), neural network applications, and temporal data processing Domain Applications: Medical diagnostics, intelligent sensor systems, localization technologies, and digital humanities projects Data Infrastructure: Expertise spanning relational and NoSQL databases, data warehousing, and decision support systems Theoretical Contributions: Work on symbolic/subsymbolic AI integration and spatio-temporal data modeling His professional engagements extend beyond academia through substantial collaborations with industry partners including u-blox, SAL Silicon Austria Labs, GAP srlu, and beanTech. He regularly conducts specialized training for non-academic audiences on data integration, decision support systems, and explainable AI implementation. As an active PeerJ Editor & Reviewer with over 900 contribution points, he maintains strong connections with the international computer science research community. Dr. Brunello directs his efforts through the Data Science and Automatic Verification Laboratory at DMIF and the interdisciplinary AI4CH Initiative, creating pathways for meaningful technology transfer between humanities scholarship and advanced computational methods.

• Artificial Intelligence
• Machine Learning
• Deep Learning
• +۹ مورد دیگر

Christina Schneegass is a researcher at Delft University of Technology's Faculty of Industrial Design Engineering, specializing in Human-Centered Design and Perceptual Intelligence. She holds a Ph.D. in Media Informatics and Human-Computer Interaction from Ludwig-Maximilians University Munich, alongside M.Sc. and B.Sc. degrees in Applied Cognition and Media Sciences from the University of Duisburg-Essen. Her work focuses on cognitive processes in Human-Computer Interaction (HCI), particularly in educational technology, cognitive augmentation, and neurotechnology. She has explored topics like AR-enhanced TV experiences, chatbot response delays, and haptic interface design. Her research emphasizes balancing technological innovation with cognitive enhancement, leveraging neurotechnologies to understand user perception. She teaches courses such as Cognitive and Psychological Design and Cognitive Ergonomics . Schneegass collaborates on projects like Dark Haptics (2025) and Broadening the Mind (2024), advancing interactive system design and neurotechnology applications.

• Human-Computer Interaction (HCI)
• Cognitive Science
• Educational Technology
• +۳ مورد دیگر

Prof. Gerd Kortuem is a Professor of Internet of Things (IoT) at Delft University of Technology's Faculty of Industrial Design Engineering. His research focuses on the intersection of Human-Computer Interaction (HCI), Artificial Intelligence (AI), and Design, emphasizing responsible AI, generative AI, and data-centric design. He leads the Knowledge and Intelligence Design group and collaborates across labs like the Data-Centric Design Lab and Responsible Sensing Lab. Since 2018, he has directed the MSc Integrated Product Design program, teaching courses such as Generative AI and Design, and Artificial Intelligence and Society. Academically, Prof. Kortuem holds a PhD from the University of Oregon (USA) and a Diploma in Informatics from Stuttgart University (Germany). His career includes roles at Lancaster University, the Open University, Oxford University, and industry stints at Apple, IBM, and Fraunhofer Institute. He currently serves as Associate Editor for the ACM's Interactive, Mobile, Wearable, and Ubiquitous Technologies journal and advises Fronesys Inc. His research projects include BRIDE (exploring smart public infrastructure), IoT Rapid Proto Labs (accelerating IoT product development), and Contestable AI (designing ethically transparent AI systems). Awards include DIS '24 Best Paper (2024) and multiple Reviewers' Favourite Awards for impactful contributions to eHealth and AI ethics. Prof. Kortuem’s work bridges technical innovation with societal impact, addressing challenges in urban analytics, healthcare technology, and ethical AI deployment. His labs and courses drive interdisciplinary education and research in data-driven design methodologies.

• Internet of Things (IoT)
• Human-Computer Interaction
• Artificial Intelligence
• +۷ مورد دیگر

Debargha (Dave) Dey is an Assistant Professor in the Department of Industrial Design at Eindhoven University of Technology. He holds dual roles as an EAISI Foundational Assistant Professor and EAISI High Tech Systems researcher. His work focuses on human factors in Intelligent Transportation Systems and Future Mobility, with expertise in ubiquitous computing, multimodal interaction, and automotive user interfaces. He earned a PhD cum laude from TU Eindhoven in 2020, followed by postdoctoral research at TU Eindhoven and Cornell Tech. Education background includes a Master's in Computer Science from Vanderbilt University (2012), PDEng in User-System Interaction from TU Eindhoven (2017), and a PhD in Human-Machine Interaction (2020). Research interests emphasize traffic safety, autonomous vehicle-pedestrian interaction, and cross-cultural behavior modeling for AV development. His work addresses UN Sustainable Development Goals related to safe cities and communities (SDG 11). Recent research explores external human-machine interfaces (eHMIs) for autonomous vehicles, using VR simulators and participatory design methods. He investigates multimodal communication (light/sound) effectiveness and collaborative in-car activities' fairness. Awards: AutomotiveUI '22 Best Paper Award (2022) CHI '20 Best Paper Award (2020) AutomotiveUI '20 Honorable Mention (2020) Best Demo Award (2017) Active in ACM SIGCHI and AutomotiveUI communities, he serves on steering committees and organizes conferences like AutomotiveUI 2023. His work bridges academia and industry through collaborative projects on smart mobility solutions.

• Human Factors in Transportation
• Intelligent Transportation Systems
• Ubiquitous Computing
• +۴ مورد دیگر

Dr. Tilman Dingler is an Associate Professor in the Knowledge and Intelligence Design (KInD) section at the Faculty of Industrial Design Engineering (IDE), Delft University of Technology. He holds a PhD in Computer Science from the University of Stuttgart and has held roles at the University of Melbourne and Osaka Prefecture University. His research focuses on cognition-aware systems, intelligent reading interfaces, and digital health technologies. He is an expert in designing systems that adapt to cognitive states to enhance information processing and mitigate biases. Education: PhD in Computer Science, University of Stuttgart (Germany) Master of Science in Web Science, University of San Francisco (USA) Honours Degree in Technology Management, University of Munich (Germany) Research Interests: Cognition-Aware Systems: Sensing cognitive states like attention and alertness Bias-Aware Systems: Detecting and mitigating cognitive biases in decision-making Digital Health: Proactive monitoring systems for chronic disease management Intelligent Reading Interfaces: Enhancing readability and reading habits Article Trends: Recent work explores interventions to reduce social media addiction, AI-generated content for non-native readers, and tools for analyzing 360° video. His studies often bridge HCI, AI ethics, and health tech. Awards: Wolfgang Heilmann Award (twice) Fulbright Scholar Grants & Collaborations: Secured funding from NHMRC and Japan Science and Technology Agency. Leads projects like ODECO (Open Data Ecosystem) and SmartHeart (home-based heart failure monitoring). Labs & Teams: Active in IDE’s Human-Centred AI and Sustainable Design Engineering groups. Co-founded the SIGCHI Melbourne Local Chapter.

• Cognition-Aware Systems
• Intelligent Reading Interfaces
• Digital Health
• +۳ مورد دیگر