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Yuchong Zhang is a Postdoc Fellow at KTH Royal Institute of Technology's Division of Robotics, Perception and Learning, supervised by Prof. Danica Kragic. He completed his Ph.D. at Chalmers University of Technology (2018-2023) and holds an M.Sc. from Nanyang Technological University (2016-2017) and B.Eng. from Hangzhou Dianzi University (2012-2016). Ph.D. in Interaction Design, Chalmers University of Technology, Sweden (2018-2023) M.Sc. in Computer Science, Nanyang Technological University, Singapore (2016-2017) B.Eng. in Computer Engineering, Hangzhou Dianzi University, China (2012-2016) His research centers on human-robot interaction through human-centered design, with expertise in augmented/mixed reality , interactive AI , and affective computing . He bridges cognitive science and engineering to develop intuitive interfaces for industrial tomography and wearable robotics, emphasizing perceptual accuracy and user experience in immersive systems. Publications from 2019-2025 reveal evolving focus from industrial AR visualization (2019-2021) to brain-robot interfaces (2025) and wearable robotics (2024). Key trends include multimodal feedback in AR, EEG-based control systems, and social drone design, consistently applying human-centered methodologies across HCI, robotics, and sensory augmentation domains. He supervises master's projects in interaction design and mobile development while contributing to major initiatives like BOS (Body-centric Operating System) and ELSA (European Lighthouse on Secure AI). His work integrates hardware prototyping with user studies for industrial and assistive applications. As part of KTH's Robotics, Perception and Learning group, he collaborates on projects including TOMOCON (industrial tomography sensors) and European AI safety frameworks, leveraging his background in cross-cultural academic environments (China, Singapore, Sweden).

• Human-Robot Interaction
• Augmented Reality
• Mixed Reality
• +5 more

David Lamas is a faculty member at Universidade Lusófona, Portugal, with a Doctor of Philosophy in Computer Science. His research focuses on Human-Computer Interaction, Trust in Technology, Affective Computing, and Digital Libraries. He has contributed extensively to academic literature through journal articles, conference papers, and book chapters. Doctor of Philosophy in Computing Mestrado in Informática (Ciências da Computação) Licenciatura in Informática (Matemáticas Aplicadas) Postgraduate Certificate in Strategic University Management Postgraduate Certificate in Strategic Direction and Community Engagement His research interests lie at the intersection of human behavior and technology, particularly in modeling trust using psychophysiological signals, emotion recognition in dyadic interactions, and designing wearable systems for emotional support. He explores how users perceive and interact with AI systems, especially in high-risk and cross-cultural contexts. His work integrates HCI principles into software development practices, particularly in developing countries. The recent publications reflect a strong trend in affective computing, trust modeling, and wearable technologies. His work spans facial emotion databases, vibrotactile feedback systems, and psychophysiological signal analysis. These contributions highlight a focus on user-centered design, ethical AI, and the application of technology in mental health and public services. David Lamas has not been mentioned with any scientific awards in the provided text. He has advised or collaborated with several researchers, including S. Sousa, V. Tomberg, A. Ogunyemi, I. B. Da Rosa, and others, particularly in studies related to trust, e-learning, and software industry practices. While specific grants are not listed, his extensive publication record suggests active research funding and project leadership. His work often involves international collaboration, especially with researchers in Estonia, Nigeria, and Afghanistan. David Lamas is involved in research projects related to body-centric computing, brain-computer interfaces (e.g., BrainHack project), and digital library infrastructure. His work on vibrotactile displays (e.g., Be Me Vest, Vibmory) indicates active development in wearable technology for emotional and cognitive augmentation. He also contributes to the design of e-government architectures and digital inclusion initiatives in developing regions.

• Human-Computer Interaction
• Trust in Technology
• Affective Computing
• +7 more

Zakaria Djebbara is an Associate Professor at Aalborg University's Department of Architecture, Design and Media Technology, part of The Technical Faculty of IT and Design. His research explores how built environments influence human cognitive processes, focusing on neural synchronization patterns and the interplay between architectural features and attention/working memory. He employs Virtual Reality (VR) combined with mobile EEG and body tracking to study these phenomena. Key Projects: "Neuronal and Urban rhythms effect on memory" (2024-2027, PhD supervision) "Architecture & Transitions: an enactive and electrophysiological approach" (2017-2020) Research Themes: Neuroarchitecture and cognitive neuroscience Embodied cognition and sensorimotor interactions Mobile brain/body imaging (MoBI) His work bridges architecture, neuroscience, and technology, examining how spatial rhythms and visual patterns shape neural activity. Recent studies include EEG investigations in historical cities like Ghardaïa, Algeria, and VR experiments analyzing navigation strategies. Awards: 2021 Spar Nord Fondens Forskningspris 2020 Brain Products MoBI Award Key Contributions: Developed the BeMoBIL pipeline for multimodal neuro-architectural data analysis Advocated for biophilic design and adaptive facades to enhance well-being Co-organized the Designing Atmospheres symposium (2023)

• Neuroarchitecture
• Cognitive Neuroscience
• Virtual Reality
• +3 more

Junhan Kong is a 5th-year Ph.D. candidate in the Information School at the University of Washington, advised by Prof. Jacob O. Wobbrock. She holds roles as a Pre-doctoral Instructor and has served as a Teaching Assistant across multiple courses at UW and CMU. Her research focuses on human-computer interaction and accessibility, particularly in enabling technologies to adapt to user abilities through quantitative analysis of input behavior and sensor data. She has interned at Adobe Research and Meta Reality Labs, contributing to projects like the Ability-Based Design Toolkit (ABD-MT), which won the MobileHCI 2024 Best Paper Award. Junhan's educational background includes dual Bachelor's and Master's degrees in Computer Science from Carnegie Mellon University, with minors in Statistics and Machine Learning. Her work integrates human ability characterization, mixed-initiative interface adaptations, and accessible gesture systems for users with motor disabilities. She has also explored AR applications to support older adults and complex UI users. Her teaching contributions include instructing UW's Special Topics in Accessibility course and coordinating the UW DUB Doctoral Colloquium. She actively reviews for top conferences like CHI, UIST, and ASSETS, and has received Special Recognition for her reviews. Junhan's research has been recognized with awards including the MobileHCI Best Paper Award (2024) and an Adobe Intern Expo award (2023). Her work emphasizes practical developer tools and user-centric design principles to bridge gaps in accessible technology.

• Human-Computer Interaction
• Accessibility
• Quantitative Characterization of Human Abilities
• +4 more

Ali Cengiz Beğen is a Professor in the Computer Science Department at Ozyegin University in Istanbul. He is also the founder of Networked Media , a technology consulting firm specializing in IP video systems. His career includes technical leadership roles at Comcast and Cisco , where he developed advanced video delivery solutions. Education: PhD in Electrical and Computer Engineering (Georgia Tech, 2006), BSc in Electrical Engineering (Bilkent University, 2001) Research Interests focus on network support for real-time media , including optimized content encoding, low-latency live streaming, and protocol innovation for IP video. His work bridges academic research with industry standards like ISO/IEC JTC1/SC29 (MPEG/JPEG), where he serves as Head of the Turkish National Body . Current projects explore Media-over-QUIC transport , multi-CDN streaming , and reinforcement learning for adaptive streaming. His scientific contributions include 40+ US patents and publications in IEEE Transactions on Multimedia , IETF RFCs, and ACM SIGMM. Awards highlight his impact: Emmy® Award for Technology and Engineering (2020) ACM SIGMM Test of Time Award (2021) SVTA Industry Fellow (2021) ACM Distinguished Member (2020) IEEE Senior Member (2019) Microsoft Bandwidth Estimation Grand Challenge Runner-up (2021) Professional Service includes IEEE Communications Society Distinguished Lecturer (2016-2020) and keynotes at conferences like IEEE ICME and SVTA Webinars . He actively consults for media-tech companies and law firms on video transport standards.

• IP Video Systems
• Network Support for Real-Time Media
• Video Transport
• +3 more

Marco Cavaglia is a Senior Researcher in Industrial Bioengineering at the Polytechnic University of Turin , affiliated with the Department of Mechanical and Aerospace Engineering (DIMEAS) . With a PhD in Neuroscience (University of Insubria, 2004) and medical specialization in Anesthesia (University of Turin, 1994), he bridges clinical expertise with bioengineering research. Education: PhD in Neuroscience (2004), Specialization in Anesthesia (1994), Medicine and Surgery Degree (1990) Current Roles: Senior Researcher (2001-present), Inventor of CPAP device for low-oxygen consumption (patent pending), Review Editor for Frontiers in Cardiovascular Medicine Research Interests focus on: Lipid-centric neuroscience - Investigating lipid bilayer mechanics in neuronal membranes and consciousness modulation Heart-Brain interactions - Mitigating neurological complications in cardiovascular surgery Biomedical device innovation - Co-inventor of DIVOC (REVERSE COVID) ventilation system Information theory & meditation - Analyzing Maharishi Transcendental Meditation's neurological effects His scientific contributions include patents, 17+ publications, and editorial leadership. Teaching spans Biomechanical Design and Multiscale Biomechanics in Biomedical Engineering (2021-2024). Awards include the 2021 Wiley TOP DOWNLOADED ARTICLE recognition.

• Neuroscience
• Anesthesia
• Biomedical Engineering
• +3 more

Florian Müller serves as Assistant Professor for Mobile Human-Computer Interaction at Technical University of Darmstadt, leading the Urban Interaction Lab. His research pursues seamless integration of digital information, AI agents, and physical environments into unified Extended Reality (XR), with focus on novel interaction techniques for mobile XR and human-AI collaboration through body-centric, tangible, and haptic interfaces. Müller's primary research spans Extended Reality, Human-Computer Interaction, and Mobile Interaction with specialization in Haptic Interfaces, Tangible Interfaces, and Body-Centric Interaction. He investigates how multimodal sensory feedback enhances user experiences in immersive environments, particularly examining AI-driven adaptation for context-aware XR systems and the social implications of pervasive interactive technologies in urban settings. Recent publications (2024-2025) demonstrate strong interdisciplinary trends across multisensory XR (taste modulation, thermal feedback), social VR/AR applications (privacy, content sharing), and human-AI co-creation systems. Key domains include health (motor control assessment), education, and urban interaction contexts, with consistent emphasis on user experience, safety, and practical implementation challenges. Müller directs the Urban Interaction Lab at TU Darmstadt, which develops and evaluates interactive technologies for public spaces through prototyping novel mobile and XR interfaces. The lab's work emphasizes real-world deployment in urban environments, focusing on social engagement, situational awareness, and seamless interaction between physical and digital layers of city infrastructure.

• Extended Reality
• Human-Computer Interaction
• Mobile Interaction
• +4 more

Prof. Dr. Christian Meske is a faculty member at Ruhr University Bochum , holding the Chair of Socio-technical System Design and Artificial Intelligence since September 2021. He previously served as an Assistant Professor at Freie Universität Berlin (2017–2021) and conducted postdoctoral research at the University of Duisburg-Essen (2015–2017) and University of Münster (2012–2015). Education: Diploma in Business Administration (Diplom-Kaufmann), University of Potsdam His research focuses on the intersection of Artificial Intelligence , socio-technical systems , and digital transformation . Key areas include Explainable AI , Digital Twins , AI Governance , and Human-AI Interaction . His recent publications analyze algorithmic transparency, digital nudging, and affordance theory in AI systems. Notable trends in his work include: Foundational AI models and their ethical implications Relational quality in social networks Feedback mechanisms in mobile health applications Philosophical perspectives on digital twin perception Design principles for AI-based decision support Scientific accolades include: Best Paper Award at ICAART (2022) ICIS Best Short Paper in Health IS (2020) AIS Best Information Systems Publication of the Year (2016) Elite Award for Excellence (European University Information Systems, 2015) He has contributed to projects like sciebo – the Campuscloud for NRW and supervised student initiatives such as 'Mobile Learning.' Meske is an active member of the Association for Information Systems , German Informatics Society , and other academic bodies, focusing on computer-supported cooperative work and digital ethics.

• Socio-technical Systems
• Artificial Intelligence
• Digital Transformation
• +7 more

Choi Hee-eun is an Assistant Professor at Seoul National University's College of Human Ecology, Department of Clothing and Textiles. Her work focuses on data-driven garment design and production systems. Specialty: Apparel Technical Design & Production Contact: heeeun.choi@snu.ac.kr Address: Building 222, Room 311, 1 Gwanak-ro, Gwanak-gu, Seoul 08826 Research Areas : Sizing & Fitting standardization Human Factors & Ergonomics integration Smart Wearable Design Automated Apparel Production Virtual Tailoring Systems Garment Performance Evaluation

• Apparel Technical Design & Production
• Sizing & Fitting
• Human Factors & Ergonomics
• +2 more

Dr Nadine von Frankenberg und Ludwigsdorff is a Postdoctoral Researcher at the Technical University of Munich (TUM) , affiliated with the Institute for Informatics I1 . She conducts research and teaches in the areas of ubiquitous computing, smart environments, and occupant-centric building control systems. Her office is located in Garching b. München, and she can be reached at nadine.frankenberg@tum.de . Education & Dissertation: In 2022 she defended her doctoral dissertation “Rationale Management for Event-Based Arbitration of Thermal Quality in Shared Spaces” at TUM, laying the groundwork for her subsequent work in human-in-the-loop building controls. Research Interests: Ubiquitous and pervasive computing Smart environments and IoT Building control systems with human-in-the-loop Occupant-centric & personalized indoor environmental quality Digital twins, machine learning, and occupant health Her work unites computer science, HCI, and building technology to create adaptive systems that balance energy efficiency with individual comfort and well-being. Publication Profile: Across 2016-2022 she authored or co-authored more than a dozen peer-reviewed papers in top venues such as BuildSys , CHI , Ubicomp , ICSE , and SIGCSE . A clear trend emerges: early work (2016-2017) focused on visualization and assessment tools for smart buildings, followed by 2018-2020 contributions on sensor-based thermal comfort inference, machine-learning control algorithms, and cloud architectures for multi-device studies. Most recently, her 2021-2022 publications center on conflict resolution and rationale management for shared thermal spaces, culminating in her 2022 dissertation. Scientific Service & Awards: Program Committee member: ICSE 2021-2023, SIGCSE 2017-2023, HICSS-56 2023, CSEE&T 2020-2022, SEUH 2020 Publicity Chair: CSEE&T 2020, SEUH 2020 Publication Co-Chair: BuildSys 2020 Teaching & Student Supervision: She has been a recurring instructor and lab supervisor for Introduction to Software Engineering (EIST) , iPraktikum , and Interactive Learning seminars since 2018. Additionally, she has advised or co-advised more than 25 Bachelor’s, Master’s, and Guided Research theses on topics spanning thermal comfort systems, digital twins, mHealth applications, and IoT network simulation. Labs & Teams: She is a core member of the Research Group for Applied Software Engineering (ASE) at TUM, collaborating closely with Prof. Bernd Brügge’s chair and interdisciplinary partners in architecture, psychology, and health informatics.

• Ubiquitous computing
• Smart environments
• Building control systems
• +4 more

Dr. Otto Muzik is an Associate Professor in the Department of Pediatrics at Wayne State University School of Medicine . His research focuses on PET imaging and Pediatric imaging , with specific interests in Epilepsy , Brown Adipose Tissue (BAT) , and brain network connectivity using PET and fMRI methodologies. Key research themes include: Understanding neural mechanisms in human thermoregulation Developing automated AI-driven solutions for motion correction in total-body PET/CT Optimizing dose reduction strategies in PET/MR epilepsy imaging Translating novel radiotracers like [18F]FETrp for clinical cancer imaging Advancing theranostic approaches in nuclear medicine Exploring predictive processing models in brain function He actively teaches graduate courses in Nuclear Medicine Physics and Imaging Physics , and collaborates with Vaibhav Diwadkar on neuroimaging research. His work appears in journals like Wiley Interdisciplinary Reviews: Cognitive Science and Journal of Nuclear Medicine .

• Medical Imaging
• Neuroimaging
• Pediatric Radiology
• +4 more

Jaakko Kauramäki is a Researcher at the Cognitive Brain Research Unit, University of Helsinki, affiliated with the Centre of Excellence in Music, Mind, Body and Brain (MMBB). His work bridges psychology, neurosciences, and cognitive science. University: University of Helsinki Department: Cognitive Brain Research Unit Fields of Interest: Auditory processing, speechreading, music therapy, aging neuroscience, social presence His recent publications focus on auditory rehabilitation technologies, neural responses to music in spinal injury patients, and social psycho-physiology in audio drama interactions. He has contributed to 20 publications since 2005 and is involved in two major projects, including a 2024–2026 Academy of Finland initiative. Jaakko serves as an Operator for the Research Infrastructure for Psychology and Logopedics (RIPL) and collaborates on multidisciplinary projects involving Finnish phonetics, deafness, and auditory cognition. His work includes developing mobile applications for hearing impairment and analyzing neural mechanisms in auditory perception.

• Neurosciences
• Cognitive Science
• Psychology
• +4 more

Antonius Marinus Bogers serves as Assistant Professor at the Royal School of Library and Information Science (RSLIS), University of Copenhagen, a position held since December 2011 following his 2009 appointment. His research focuses on applying information access technologies to unlock large collections through recommender systems, social bookmarking, and information retrieval innovations. His academic foundation includes: Ph.D. in Computational Linguistics and Artificial Intelligence from Tilburg University (2009) M.A. in Information Management (2001) and M.A. in Computational Linguistics & AI (2004) from Tilburg University Dr. Bogers investigates how search, browsing, and recommendation technologies enhance information discovery, with particular emphasis on serendipity in social contexts. His work bridges theoretical information science with practical applications for social media and digital archives, examining how users encounter meaningful information unexpectedly through systems like Twitter and social bookmarking platforms. This research trajectory demonstrates consistent evolution from foundational recommender system work toward complex social information behavior analysis. His 2011-2013 publications reveal a concentrated exploration of social information access mechanisms, particularly how metadata schemes, recommendation fusion, and social sharing platforms facilitate serendipitous discovery. This body of work shows methodological progression from controlled laboratory experiments measuring serendipity to real-world analysis of Twitter micro-serendipity and radio archive metadata development. Dr. Bogers actively mentors the next generation of information scientists through comprehensive thesis supervision across diverse topics including social news motivation, virtual museum engagement, and expert search systems. His teaching portfolio spans core information architecture, digital knowledge systems, and specialized courses on collective intelligence and cultural heritage unlocking. He contributes to the research ecosystem through project leadership in initiatives like LARM (radio broadcast archives access) and RIX (search engine fusion), while maintaining active participation in professional communities including ACM and BCS-IRSG. His technical expertise spans scientific programming for citation analysis and metadata implementation, demonstrated through collaborations with organizations like CiteULike and the Danish Ministry of Agriculture. These practical engagements complement his theoretical contributions to information access research.

• Recommender Systems
• Social Bookmarking
• Information Retrieval
• +4 more