جستجوی استاد راهنمای دانشگاهی

Mark Billinghurst is a Professor and Director of the Australian Research Centre for Interactive and Virtual Environments at UniSA STEM, University of South Australia. His work focuses on Augmented Reality (AR), Virtual Reality (VR), and empathic computing, emphasizing remote collaboration, human-computer interaction, and inclusive design. He has authored influential books like Computer-Supported Collaboration: Theory and Practice (2024) and pioneered systems such as Empathy Glasses and gaze-tracking interfaces for collaborative tasks. Education & Affiliations: Mark Billinghurst is affiliated with the Empathic Computing Laboratory and has collaborated globally with institutions like Keio University, Nokia, and the University of Canterbury. His research spans AR applications in manufacturing, healthcare, and social interaction, with a focus on improving accessibility and user experience. Research Interests: Dr. Billinghurst’s research explores AR/VR for remote guidance, wearable technologies, and emotional interfaces. He investigates how gaze cues, multimodal feedback, and AI can enhance collaboration and empathy in virtual environments. His work bridges technical innovation with human-centric design, addressing challenges in industrial assembly, mental health, and workplace transformation. Publications & Impact: His 2016 study on gaze tracking in remote collaboration (cited over 100 times) and 2024 book on AR collaboration highlight his contributions. Recent projects include Vibe360 (group emotion analysis) and CAEVr (biofeedback-driven empathy systems). He actively contributes to conferences like IEEE VR and CHI, shaping the future of immersive technologies. Labs & Future Work: His lab develops tools like the SAR system for aircraft drilling and empathic agents (EMiRAs). Future directions include AI-driven emotional interfaces, inclusive metaverse design, and VR solutions for cognitive rehabilitation.

• Augmented Reality
• Virtual Reality
• Human-Computer Interaction
• +۳ مورد دیگر

Yu Xiao is an Associate Professor at the Department of Information and Communications Engineering, Aalto University, specializing in edge computing, extended reality (XR), wearable computing, and crowdsensing. Their research contributes to the UN Sustainable Development Goals, particularly in education and technology innovation. Active in mobile cloud computing and decentralized systems Principal Investigator in EU-funded projects (EMIL, TUTL) Expert in 5G networks, autonomous systems, and human activity recognition Yu Xiao's work spans interdisciplinary domains, including healthcare (cardiovascular resuscitation devices) and urban mobility (autonomous vehicle interactions). They have received multiple awards, including Best Paper Awards and Nokia Foundation Scholarships. Focus on low-latency communication and multiagent reinforcement learning Developed frameworks like FediLive for decentralized social networks Contributed to 128+ publications and software tools Recent collaborations include institutions like Pontificia Universidad Católica de Chile and participation in IEEE committees. Their research integrates blockchain for secure IoT communication and advanced AR applications.

• Edge Computing
• Extended Reality (XR)
• Wearable Computing
• +۷ مورد دیگر

Dr. Sheng Yang is an Assistant Professor in the School of Engineering at the University of Guelph. He leads the Design Innovation and Intelligent Manufacturing (DIIM) lab, focusing on advancing additive manufacturing, generative design, and smart manufacturing technologies. His research integrates IoT, big data analytics, and bio-inspired design to address challenges in aerospace, green energy, and healthcare. Key areas include computational design for additive manufacturing, data-driven mass customization, and digital twin-based optimization. Education: Ph.D. in Mechanical Engineering from McGill University (2019), followed by a Postdoctoral Fellowship at McGill (2019–2020). Joined University of Guelph in 2020. Research interests span energy efficiency, complex system optimization, and personalized healthcare products. Recent work emphasizes digital twin synchronization in robotics, machine learning for quality prediction, and sustainable additive manufacturing processes. Notable awards include the 2019 Association of Commonwealth Universities Blue Charter Fellowship and 2018 ASME Best Paper Award. His lab actively seeks partnerships in personalized healthcare, product design, and smart manufacturing. Grants and collaborations focus on advancing manufacturing technologies and sustainability. No formal advisees listed, but active in graduate training through lab projects. The DIIM lab explores cutting-edge solutions for industrial and societal challenges through interdisciplinary approaches.

• Additive Manufacturing
• Digital Twin Technology
• Smart Manufacturing
• +۷ مورد دیگر

Zhu-Tian Chen is an Assistant Professor in the Department of Computer Science and Engineering at the University of Minnesota, Twin Cities, where he leads research in data visualization, human-computer interaction, and augmented reality. Prior to this, he held postdoctoral positions at Harvard University and UC San Diego, working with leading researchers in visual computing and interactive design. Ph.D. in Computer Science, Hong Kong University of Science and Technology B.Eng. in Software Engineering, South China University of Technology His research focuses on augmenting human intelligence through hybrid human-AI systems, particularly in everyday and outdoor environments. He specializes in designing intelligent AR interfaces, embedded visualizations, and language-oriented interactions for applications in sports analytics, education, and data analysis. His work integrates human-centered design with applied machine learning to create intuitive and effective visualization tools. The recent trend in his publications shows a strong emphasis on intelligent AR systems for dynamic scenes, LLM-based code generation interfaces, and real-time augmentation of sports videos using natural language and gaze-based interactions. His work frequently appears in top-tier venues such as IEEE VIS, ACM CHI, and UIST. Best Paper Award, ACM CHI'23 Best Short Paper Honorable Mention, EuroVis'23 Best Paper Honorable Mention, IEEE VIS'22 (twice) Certificate of Distinction and Excellence in Teaching, Harvard University Hong Kong Ph.D. Fellowship Dr. Chen actively mentors undergraduate, master’s, and PhD students, as well as visiting scholars and interns, and is building a new research lab focused on visualization for intelligent AR systems. He has served on program committees for major conferences including ACM CHI, IEEE VIS, and EuroVis, and has been invited to speak at institutions such as Apple, JP Morgan, and multiple universities worldwide. He also contributes to the academic community through grant reviewing for NSF and the Department of Energy. He leads research projects in intelligent AR systems for sports, language-oriented interactions with LLMs, and immersive data visualization, often in collaboration with institutions like Harvard, UC San Diego, and HKUST. His lab welcomes students and collaborators interested in visualization, HCI, and applied AI.

• Data Visualization
• Human-Computer Interaction
• Augmented Reality
• +۷ مورد دیگر

Dr. Michael Otto is affiliated with the University of Ulm, Department of Computer Science, within the Faculty of Engineering. His research focuses on virtual technologies for production planning, immersive virtual assembly assessments, and markerless motion capture systems. He has contributed to projects like ARVIDA (Cost-efficient motion capture systems) and INTERACT (Human-centered workplaces). His work bridges computer science, manufacturing systems, and human factors. Key contributions include developing frameworks for motion capture, virtual reality benchmarking, and augmented reality applications in industrial contexts. Notable achievements include receiving the Best Industrial Paper award (2015) for his work on ubiquitous tracking using depth cameras. His research addresses challenges in assembly planning, ergonomic assessments, and spatial interaction in manufacturing environments. Education/Background: Former External PhD Candidate at University of Ulm. Research Interests: Dr. Otto’s work emphasizes practical applications of virtual and augmented reality in manufacturing. He explores how technologies like markerless motion capture and immersive environments can optimize assembly processes, enhance worker ergonomics, and improve production verification workflows. His projects often involve interdisciplinary collaboration with industry partners. Articles Overview: His publications (2014–2025) span topics such as augmented reality visualization, motion tracking algorithms, and VR-based simulation tools. These contributions highlight advancements in scalable systems, sensor fusion, and human-motion analysis within industrial contexts.

• Virtual Technologies for Production Planning
• Immersive Virtual Assembly Assessments
• Markerless Motion Capture Technologies
• +۳ مورد دیگر

Michele Gattullo serves as an Assistant Professor within the Department of Mechanics, Mathematics & Management at the Polytechnic University of Bari, Italy, specializing in design methods for industrial engineering (ING-IND/15). His research bridges cutting-edge extended reality technologies with practical industrial applications, focusing on human-centered solutions for manufacturing, maintenance, and workplace design. Dr. Gattullo's research portfolio centers on Augmented Reality, Virtual Reality, and Biophilic Design, with significant contributions to Human-Computer Interaction in industrial contexts. He investigates how nature-inspired elements in virtual workspaces enhance employee well-being and productivity, while simultaneously developing practical AR tools for assembly guidance, technical documentation, and maintenance support. His work uniquely integrates ergonomics, cognitive psychology, and industrial engineering to optimize human-technology interaction in complex production environments. Analysis of his 15 most recent publications reveals two dominant research trajectories: biophilic design frameworks for virtual/metaverse workspaces (2023-2025) and industrial AR authoring methodologies. The biophilic stream establishes evidence-based guidelines for digital nature integration, while the AR stream delivers validated tools like ADAM and minimal AR approaches that streamline technical documentation creation. Both trajectories emphasize user experience validation through rigorous industrial studies, demonstrating strong interdisciplinary impact across computer science, industrial engineering, and environmental psychology. Scientific Awards: No awards or honors were documented in the available sources. Advising and Grants: The provided materials contain no information regarding graduate student supervision, research grants, or funding sources. His academic profile emphasizes publication output over mentoring activities or project financing details. Laboratories and Teams: While Dr. Gattullo's research involves advanced XR technologies, the source text does not specify laboratory facilities, research groups, or collaborative teams associated with his work at Politecnico di Bari.

• Augmented Reality
• Virtual Reality
• Biophilic Design
• +۳ مورد دیگر

Gaurav Nanda serves as an Assistant Professor in the School of Engineering Technology at Purdue University, where he leads research at the intersection of artificial intelligence and human-centered systems. His work develops intelligent decision support frameworks applicable across critical domains including occupational safety, smart manufacturing infrastructure, healthcare analytics, and educational technology. Education Background Ph.D. in Industrial Engineering, Purdue University Dual Degree: B.Tech. and M.Tech. in Agricultural and Food Engineering (Major) with Electrical Engineering Minor, Indian Institute of Technology Kharagpur His research program integrates applied machine learning and natural language processing to solve complex problems in safety analytics (injury surveillance systems), Industry 4.0 (IoT-enabled manufacturing), healthcare (breast cancer prediction models), and STEM education (MOOC feedback analysis). Current projects emphasize human-AI collaboration, with growing focus on ethical AI implementation and social justice integration in engineering contexts. The INDESS Research Group he directs develops systems that balance algorithmic precision with human factors considerations. Recent publications (2023-2025) demonstrate accelerating adoption of large language models and vision-language systems across application domains, particularly in safety analytics and educational technology. Key trends include human-in-the-loop validation frameworks, explainable AI interfaces, and multimodal data integration (eye-tracking, text, sensor data). His work increasingly addresses fairness considerations in AI deployment, especially regarding diversity in engineering education and workplace safety systems. Dr. Nanda actively mentors the next generation of engineers through the INDESS Research Group , advising Ph.D. candidates Madhumathi Ponnusamy and Shuning Yin, while previously supervising Master's graduates including Srushti Vichare and Meet Suthar. His research receives support through Purdue-affiliated institutes including ICON (Control/Optimization Networks), RDE (Digital Enterprise), and FWL (Future Work/Learning). He maintains active service roles as Editorial Board Member for the International Journal of Industrial Ergonomics and as reviewer for leading publications including IEEE Transactions on Learning Technologies and Safety Science. The research group maintains strong industry connections through the Purdue School of Engineering Technology, with projects spanning manufacturing automation, healthcare informatics, and educational technology platforms. Current initiatives focus on real-time anomaly detection systems, ethical AI frameworks for safety-critical applications, and inclusive curriculum development for engineering education.

• Applied Machine Learning
• Natural Language Processing
• Decision Support Systems
• +۴ مورد دیگر

Jana Gonnermann-Müller is a research assistant at the Chair of Business Information Systems, Processes and Systems at the University of Potsdam . Holding an M.Sc. in Psychology from Humboldt University of Berlin, her work focuses on human-machine interaction, particularly examining learning, decision-making, and trust in technological collaborations. Degree: Master of Science (M.Sc.) in Psychology Alumni: Humboldt University of Berlin Current Role: Scientific Associate at University of Potsdam Research explores cognitive factors in augmented reality and AI assistance systems , employing experimental designs and eye tracking methodologies. Key projects include investigating visual guidance in AR, comparing AR display types, and developing frameworks for generative AI in education. Publications (2023-2025) demonstrate expertise in digital education , cognitive load optimization , and technology-enhanced learning . Collaborations span institutions like Hong Kong Polytechnic University , University of California, Davis , and Weizenbaum Institute , with corporate consulting on learning technology implementation. Technical focus areas include: Human-System Design Optimization Eye Tracking & Usability Studies AI Recommender Systems Industry 4.0 Implementation Research applications extend to: Secondary Education Technology Assembly Line AR Integration Change Management Systems Maintenance AR Visualization

• Human-Machine Interaction
• Educational Technology
• Cognitive Load Theory
• +۴ مورد دیگر

Linda Walters is a Pegasus Professor in the Department of Biology within the College of Sciences at the University of Central Florida. She directs the Coastal and Estuarine Ecology Laboratory (CEELAB), conducting field research at UCF's main campus and the Fellers House Field Station in Canaveral National Seashore. Her work focuses on Florida's Indian River Lagoon system, integrating ecological research with community engagement. Her research spans three primary domains: oyster reef restoration addressing boat wakes, algal blooms, invasive species, and microplastics; living shoreline stabilization studying mangrove/marshgrass recruitment and microplastic pollution; and wading bird conservation examining habitat use and human impacts. She employs interdisciplinary approaches combining field ecology, biogeochemistry, hydrodynamics, and social science, with strong emphasis on community science and K-12 outreach through children's storybooks and oyster storytelling yoga. Recent publications reveal intensifying focus on microplastic pollution pathways, climate-driven ecosystem shifts (tropicalization), and innovative restoration techniques like biodegradable materials. Her work increasingly integrates technology such as 360° virtual field trips and GIS mapping to enhance research accessibility and public engagement. Dr. Walters secures major funding from NSF, NOAA, Disney Conservation Fund, and state agencies. Her lab collaborates extensively with Florida Fish and Wildlife, National Park Service, Florida Sea Grant, and community organizations. She actively mentors undergraduate and graduate students through UCF's Biology Department, requiring prospective researchers to engage with CEELAB's restoration and outreach activities prior to developing independent projects. CEELAB operates as a hub for coastal research, bringing together biologists, engineers, social scientists, and volunteers. The lab maintains strong community ties through restoration workshops with Coastal Conservation Association-Florida and Mudhole Tackle, plus regular outreach events documented on their Facebook page. Their work directly informs regional conservation efforts in Florida's threatened estuarine ecosystems.

• Marine Ecology
• Estuarine Ecology
• Conservation Biology
• +۷ مورد دیگر

Andreas Fender is a researcher at the Visualization Institute of the University of Stuttgart (VISUS), affiliated with the Schmalstieg Working Group. He has held postdoctoral positions at ETH Zurich (Switzerland) and the University of Sussex (England), following his PhD at Aarhus University (Denmark) with an internship at Microsoft Research (USA). His research focuses on Human-Computer Interaction, particularly in Augmented and Virtual Reality (AR/VR) and camera networks. He develops novel input methods for productivity and artistic expression in Mixed Reality environments, creating hybrid physical-digital systems like OptiBasePen, PressurePick, InfinitePaint, and DeltaPen. Recent work includes contributions to Mixed Reality input methods (UIST 2024, CHI 2022) and collaborative systems (Asynchronous Reality). Projects like GuitarPie (UIST 2025) and OptiBasePen (UIST 2024) demonstrate his focus on mobile interaction and ergonomic design. Scientific accolades include the Best paper award at CHI 2022 Best application paper award at ISS 2019 . At VISUS, he collaborates with Dieter Schmalstieg and leads hiring for PhD students and PostDocs exploring physical-digital workflows, artistic tools, and critical AI engagement. His work integrates machine learning, hardware prototyping, and spatial user interfaces to redefine future workplaces.

• Human-Computer Interaction
• Augmented Reality
• Virtual Reality
• +۶ مورد دیگر

Professor Henry Duh is Associate Dean (Global & Industry Engagement) and Full Professor at the School of Design, The Hong Kong Polytechnic University. He also serves as Director of the PolyU-NVIDIA Joint Research Centre and Research Centre for Art and Culture Technology. PhD in Psychology, Industrial Design, and Engineering Postdoctoral Training: NASA-Johnson Space Centre His research focuses on human-centric augmented/virtual reality systems, interaction design, and immersive technologies. With over 150 publications and 6,100 citations, he explores cognitive behaviors in digital environments and develops applications for training, education, and cultural preservation. Recent publications demonstrate expertise in adaptive testing frameworks, VR locomotion mechanics, and AI-driven design tools. His work bridges psychology, computer science, and digital art through interdisciplinary approaches. Editor-in-Chief: Journal of Visual Languages and Computing (Elsevier) FAA certified Advanced Ground Instructor and Private Pilot As principal investigator, he secured millions in grants from institutions like the National Research Foundation Singapore, Australian Research Council, and Microsoft. He collaborates with CISCO, Oracle, and Microsoft to align curricula with industry needs. He has led academic units at University of Tasmania and La Trobe University, and held visiting positions at Tsinghua University and National Taiwan University.

• Augmented Reality
• Virtual Reality
• Interaction Design
• +۳ مورد دیگر

Dr. Markus Tatzgern serves as Professor for Mixed Reality and Game Development and Head of Research at the Department for Creative Technologies, Salzburg University of Applied Sciences. He leads the Digital Realities Lab, a multi-disciplinary research group focused on human-centered solutions at the intersection of software, design, and creative engineering for technology interaction. His academic foundation includes a Master of Science and Doctorate with highest distinction from Graz University of Technology. He furthered his expertise through post-doctoral research at the Christian Doppler Laboratory for Handheld Augmented Reality, recognized as a world-leading facility in mobile AR. Tatzgern's research spans Augmented Reality, Virtual Reality, Mixed Reality, and Human-Computer Interaction with emphasis on practical applications. His work addresses critical challenges in view management, haptic feedback systems, industrial procedure visualization, medical imaging interfaces, and game development. Key contributions include novel techniques for eye-perspective rendering, breathing-based VR interaction, and latency compensation in medical robotics. His publication trajectory reveals evolving focus from foundational AR visualization (2010-2016) toward applied XR solutions in healthcare, industrial training, and user experience optimization (2017-2024). Recent work demonstrates increasing integration of physiological inputs, real-world safety applications, and enterprise-grade XR prototyping. Scientific recognition includes: Honorable Mention for Best Paper at CHI 2022 for 'AirRes Mask' breathing interface Honorable Mention for Best Paper at IEEE 3DUI 2017 for adaptive rendering techniques As Head of Research, Tatzgern actively shapes the field through program committee roles and peer review for top venues including ACM CHI and IEEE VR. His four patents in AR visualization demonstrate translational impact from academic research to practical applications. The Digital Realities Lab operates as an innovation hub where software engineers, designers, and creative technologists collaborate on next-generation interaction paradigms. Current projects emphasize medical XR applications, industrial training systems, and accessibility-focused AR solutions for vulnerable populations.

• Augmented Reality
• Virtual Reality
• Mixed Reality
• +۳ مورد دیگر

Björn Johansson is a Professor at Chalmers University of Technology, specializing in Production Systems. His research focuses on sustainability aspects of manufacturing through virtual tools, aiming to minimize environmental, social, and economic impacts. Key methodologies include flow simulation, dynamic environmental assessments, 3D visualization, and layout optimization. Primary research areas: Sustainable Manufacturing, Digital Twins, Environmental Impact Assessment Collaborations: Mélanie Despeisse, Henrik Söderlund, and others in automotive, battery production, and maritime industries His work emphasizes integrating digital technologies (e.g., VR, IoT) with sustainable practices, addressing challenges in supply chain resilience, human-robot collaboration, and circular economy models. Recent studies explore VR training environments, 5G-enabled manufacturing, and extended reality (XR) frameworks. Current projects involve 44 initiatives across battery systems, servitization, and digitalization for sustainability. Publications span 179 articles, including topics like digital twin implementation, ergonomic VR assessments, and hybrid simulation models for environmental analysis.

• Sustainable Manufacturing
• Production Systems
• Virtual Reality
• +۷ مورد دیگر

Prof. Jörg F. Wollert serves as Professor at Aachen University of Applied Sciences (FH Aachen), Germany, where he leads research within the MASKOR institute focusing on next-generation manufacturing systems. His academic career spans over two decades with continuous contributions to industrial automation, evolving from early wireless communication research to current Industry 4.0 leadership. Research focuses on semantic interoperability frameworks for field-level device integration, human-centered gamification in manufacturing workflows, and resilient multi-agent control systems for smart factories. His work bridges theoretical ontologies with practical implementations, emphasizing worker experience through VR training systems and digital assistance. Recent publications demonstrate growing emphasis on context-aware capability inference and adaptive production environments . Analysis of his 2022-2025 publications reveals three dominant trajectories: (1) Semantic architectures for field device interoperability (40% of recent work), (2) Gamification mechanisms enhancing human performance (35%), and (3) Multi-agent systems for production resilience (25%). His research consistently addresses the human-technology interface, with 70% of recent articles incorporating human factors considerations. As founder of the Wireless-Technologies-Kongress series (2006-2008), Prof. Wollert established early frameworks for industrial wireless communication now foundational to Industry 4.0. His MASKOR institute team develops practical implementations including the Digital Twin Academy initiative and IO-Link integration frameworks currently deployed in German manufacturing SMEs.

• Industry 4.0
• Manufacturing Automation
• Semantic Interoperability
• +۵ مورد دیگر

Dr. Behzad Abbasnejad is a Lecturer in the School of PCPM at RMIT University, specializing in Building Information Modelling (BIM), digital construction management, and sustainable built-environment solutions. He holds a PhD from Queensland University of Technology (2018) and teaches courses such as Introduction to Buildings and Integrated Building Information Modelling . His research focuses on BIM implementation, digital construction methods, and workflow optimization. He has published over 30 academic papers and secured funding for projects like digital manufacturing automation and virtual site visits for photovoltaic panels. His work bridges research and industry, emphasizing data-driven decision-making and sustainability. Research interests include BIM integration, DfMA, construction quality costs, and organizational learning. He has advised on projects involving lean construction-BIM synergy, mass timber supply chains, and AR-based safety inspections. Funding areas include prefabricated logistics modeling and sustainable construction technologies. Dr. Abbasnejad has taught in Melbourne and Hong Kong, contributing to curriculum development for hybrid and online learning models. No specific labs or teams are explicitly mentioned, though his collaborative projects imply engagement with industry partners and research networks.

• Building Information Modelling (BIM)
• Digital Construction Management
• Organisational Learning
• +۳ مورد دیگر