جست‌وجوی استاد و پژوهشگر

Laia Turmo Vidalمشاهده پروفایل

پژوهشگر ارشد

• Wearable Technology
• Human-Computer Interaction (HCI)
• Sensory Technology
• +۳ مورد دیگر

Laia Turmo Vidal is a Digital Futures Postdoctoral Fellow at KTH Royal Institute of Technology, Sweden. Her current project, Connecting Bodies: Designing Shape-changing Wearables to Improve Remote Body-based Communication , explores how wearable technologies can foster somatic connections between remote individuals through tactile and haptic feedback. This work addresses the limitations of video-mediated communication in contexts requiring physical interaction, such as remote physiotherapy or long-distance relationships. Laia holds a PhD and MSc in Human-Computer Interaction from Uppsala University (Sweden) and a BDes in Multimedia Technologies from Universitat Politècnica de Catalunya (Spain). She has held research positions at institutions including the i_mBODY Lab at Universidad Carlos III de Madrid (Spain), UCL Interaction Center (UK), and UC Santa Cruz (USA). Her research focuses on multisensory technologies, wearable devices, and design methods that enhance physical, emotional, and social experiences in health and wellbeing domains. Her work emphasizes cooperative design approaches and the role of ambiguity in supporting diverse bodily experiences. Key themes include body perception transformation, intercorporeal biofeedback, and the ethical implications of wearable technologies. She co-designs methods like Movits (minimalist embodied sketching tools) and MeCaMInD (movement-based design cards) to advance interactive technology development. Laia’s research bridges HCI with artistic practices, exploring how sensory data and materiality can create novel human-environment interactions. Her recent studies investigate sonification for body awareness, feminist approaches to bodily sensing, and sustainable design for water sports. She collaborates closely with Kristina Höök (KTH) and Georgios Andrikopoulos (KTH) on advancing interaction design methodologies.

Manolis Chiouمشاهده پروفایل

مدرس

• Human-Robot Interaction
• Artificial Intelligence
• Robotics
• +۵ مورد دیگر

Manolis Chiou is a Lecturer (Assistant Professor) in Computer Science at Queen Mary University of London, part of the School of Electronic Engineering and Computer Science. His expertise lies in Human-Robot Teaming and Interaction within Variable Autonomy systems, emphasizing safety-critical and hazardous environments. Prior roles include Research Fellow at the University of Birmingham, leading the human-robot teaming group and co-founding the Extreme Robotics Lab. Education: PhD in Robotics and AI (University of Birmingham, 2017); MSc in Computational Intelligence (University of Sheffield, 2012); BEng in Automation Engineering (University of West Attica, 2011). Research focuses on developing AI/robotics frameworks for seamless human-robot collaboration, drawing on methods from AI, robotics, human factors, and cognitive science. Key themes include trust models in autonomous systems, variable autonomy paradigms, and operator workload management. Recent work explores robot health indicators, neurosymbolic control, and field-tested disaster response applications. Teaching includes modules on Computational Creativity and Machine Learning. His research has produced over 30 publications since 2015, with a focus on advancing mixed-initiative systems and trustworthy AI in robotics.

Jeffrey Boydمشاهده پروفایل

دانشیار

• Computer Vision
• Image Processing
• Optical Flow
• +۳ مورد دیگر

Jeffrey Boyd is an Associate Professor in the Department of Computer Science at the University of Calgary's Faculty of Science, serving as Director of the Computational Media Design (CMD) initiative. His research focuses on computer vision, video analysis, optical flow, and motion tracking with applications in audio-locomotion synchronization and wearable technologies. He holds a B.S. (1983) and M.S. (1986) in Electrical Engineering from the University of Calgary, followed by a Ph.D. in Computer Science from the University of British Columbia (1994). Notable achievements include recognition for graduate supervision (2015 nominee) and innovation in interactive media (2014 Armour39 Challenge). His work bridges computational methods with creative applications, evident in publications like Emotional Musification (2018) and particle filter research (2016). Academic contributions span special topics courses on wearable applications and interdisciplinary collaborations in auditory display systems. Grants and advising activities are central to his role, though specific details are not elaborated in the provided texts. The CMD lab under his direction likely focuses on cutting-edge media design innovations, though explicit lab descriptions are absent.

Jason Crowمشاهده پروفایل

مدرس ارشد

• Medieval History
• History and Theory of Architecture
• Digital Craft
• +۴ مورد دیگر

Dr. Jason Crow is a Senior Lecturer in the Department of Architecture at Monash University and a licensed architect in Pennsylvania. He holds a PhD in History & Theory of Architecture from McGill University, where he also served as founding CTO of the Facility for Architectural Research in Media and Mediation (FARMM). His research focuses on technological impacts on material ontology and craft knowledge, blending medieval architectural history with modern digital practices. Bachelor of Architecture, Clemson University (1993) Masters of Architecture, Iowa State University (1995) PhD in History & Theory of Architecture, McGill University (2014) Research interests include medieval architectural history, digital craft, and the intersection of theology/science with material practices. Recent projects include the Warracknabeal Creative Circuit (a regional makerspace) and decarbonizing building practices in Asia. He has supervised graduate researchers such as Mehdi Taheri and Darcy Zelenko. Grants include leadership roles in the 'Decarbonising Buildings in Asia' initiative and the 'Building Better Buildings' design innovation project. He co-founded the Monash Urban Lab and actively engages in architectural pedagogy reform through workshops like LISTEN: Indigenising Architectural Curricula.

Kevin Matthew Oliverمشاهده پروفایل

استاد

• Digital History
• Culturally-Responsive Teaching
• Distance Education
• +۴ مورد دیگر

Dr. Kevin Matthew Oliver is a Professor of Learning, Design, and Technology at North Carolina State University’s College of Education, holding a Ph.D. from the University of Georgia. He previously served as Department Chair for Teacher Education and Learning Sciences (2022–24) and currently teaches courses on instructional design and culturally-responsive pedagogy. His research focuses on digital history, culturally-responsive teaching, and STEM learning through makerspaces and robotics. He has mentored 16 doctoral students and advised 26 dissertations. Awards include the 2022 UNC System Faculty Fellow and Fulbright Specialist Roster (2021–25). Education: Ph.D. Instructional Technology, University of Georgia (1999) M.Ed. Educational Media and Instructional Design, UNC-Chapel Hill (1993) B.S. Communications-Advertising, University of Tennessee (1990) Research emphasizes technology-driven cultural representation (e.g., locative media projects in Prague and Vienna), distance education innovation, and STEM informal learning. He co-leads the Locative Press Lab, developing virtual tours and cultural heritage projects. His grants include funding from the Gates Foundation, NSF, and Burroughs-Wellcome Fund for initiatives like CIDRE and narrative-centered STEM education. Professional highlights include leading annual study abroad programs for teachers since 2011, serving as a Visiting Lecturer at Charles University (2017), and analyzing innovation in makerspaces across NC’s 17-campus system as a UNC System Fellow.

Vinayak Krishnamurthyمشاهده پروفایل

دانشیار

• Generative Design
• Human-AI Collaboration
• Geometric Modeling
• +۳ مورد دیگر

Vinayak Krishnamurthy is an Associate Professor and J. Mike Walker '66 Career Development Professor in Mechanical Engineering at Texas A&M University, with affiliate appointments in Computer Science & Engineering. He directs the Mixed Initiative Design Lab (MIDL), working at the intersection of computer-aided design, human-computer interaction, and artificial intelligence. Research develops computational frameworks for generative design, human-AI collaboration, geometric/topological modeling, and mixed reality interfaces. Innovations include topological interlocking systems for multi-robot additive manufacturing, statistically self-similar structures via chaos algorithms, and speech-based design tools for young learners. Recent honors include multiple ASME best paper awards and an NSF CAREER award. Teaching spans mechanical engineering and data science courses, with recognition through college-level teaching awards. Publications demonstrate strong interdisciplinary integration of computational geometry, human-centered AI, and advanced manufacturing.

Wei Zhanمشاهده پروفایل

استاد

• Control Systems
• Systems Engineering
• Nonlinear Control
• +۷ مورد دیگر

Wei Zhan is a Professor and Associate Department Head for Undergraduate Studies in the Department of Engineering Technology & Industrial Distribution at Texas A&M University's College of Engineering. He holds affiliations with the Multidisciplinary Engineering program, focusing on systems engineering, control systems, and renewable energy applications. His academic career includes leadership roles in curriculum development and student recruitment strategies. Dr. Zhan earned a D.Sc. in Systems Science from Washington University (1991), M.S. degrees in Systems Engineering (Washington University, 1988) and Control Engineering (Beijing University of Aeronautics and Astronautics, 1985), and a B.S. in Electrical Engineering (Beijing University of Aeronautics and Astronautics, 1983). His research spans nonlinear control systems , industrial process optimization , and educational innovation . Key areas include fault-tolerant motor control, renewable energy transition frameworks, and maker culture integration into engineering education. Recent publications emphasize energy systems decarbonization, robotics, and pedagogical advancements like capstone project integration. His work bridges academic research with real-world applications such as smart grid reliability, autonomous inspection drones, and lean six sigma methodologies. Dr. Zhan leads initiatives in program development, including the Product Innovation Cellar for student product development and multidisciplinary engineering education. His efforts in curriculum design and student recruitment reflect a commitment to addressing evolving industry needs.

• Computer-Human Interaction
• Virtual Reality (VR)
• Augmented Reality (AR)
• +۷ مورد دیگر

Associate Professor Selen Turkay holds a PhD in Instructional Technology and Media from Columbia University. She joined QUT in 2017, previously working at Harvard University as a Research Fellow (2013-2015) and Research Scientist (2015-2017). She is affiliated with the School of Computer Science within the Faculty of Science at QUT. Her research focuses on immersive technologies, including virtual/augmented reality (VR/AR), gamification, and their applications in education, healthcare, and urban design. Her teaching includes courses like Immersive Level Design and Design and Development of Immersive Environments . She leads research projects such as Enabling Situated Immersive Science Collaboration with Remote Sensing Data and Augmented Sociality: Enabling a Socialised Experience of Augmented Reality , funded by Australian Competitive Grants. Her work explores topics like human-robot interaction, prosocial behavior in games, and VR training efficacy in construction and geology education. Dr Turkay supervises PhD students in areas such as VR for geological field mapping, problematic gaming behavior, and remedial game prototypes for burn rehabilitation. Her contributions span HCI conferences like OzCHI and ACM/IEEE, with a focus on advancing technologies for education, healthcare, and urban innovation.

Yu-Wing Taiمشاهده پروفایل

دانشیار

• Computer Vision
• Machine Learning
• Deep Learning
• +۳ مورد دیگر

Yu-Wing Tai is an Associate Professor of Computer Science at Dartmouth College, one of the Ivy League institutions. His research focuses on Computer Vision, Deep Learning, and Multimodalities Generative AI. He holds a PhD from the National University of Singapore and has served as an Associate Editor for IEEE TPAMI and as an Area Chair for major conferences like CVPR, ICCV, and NeurIPS. He is a Senior Member of the IEEE. Previously, he held roles as a Senior Research Director at Kuaishou Technology (2020-2023), Adjunct Professor at HKUST (2017-2023), and Research Director at Tencent (2017-2020). His work spans low-level vision, image/video editing, 3D reconstruction, and applications of large generative models. His research highlights include Motion-Agent for human motion generation, ChatCam for camera control, and Gear-NeRF for 3D reconstruction. He advises a team of PhD students and has mentored alumni now in academia and industry worldwide. His teaching includes courses on Multi-modalities Generative AI and Computer Graphics.

Laurianne Sitbonمشاهده پروفایل

دانشیار

• Human-Computer Interaction
• Natural Language Processing
• Accessibility
• +۴ مورد دیگر

Associate Professor Laurianne Sitbon is an ARC Future Fellow and Associate Professor at QUT's School of Computer Science. Her work focuses on human-computer interaction, natural language processing, and accessibility for people with intellectual disabilities. She leads projects like designing pictorial communication frameworks and human-machine teaming systems. She holds a PhD from the University of Avignon and collaborates with organizations like Endeavour Foundation. Research interests include co-design methodologies, assistive technologies, and inclusive system design. Awards include ARC Future Fellowship. Supervises PhD projects on topics like multimodal communication, social robots, and human-AI collaboration in healthcare. Key projects include: A Pictorial Communication Framework for Inclusion (ARC FT190100855) Human-Machine Teaming: Designing Synergistic Learning (ARC DP200103582) Publications span over 50 peer-reviewed papers, emphasizing participatory design with neurodiverse populations. Collaborates internationally on inclusive AI applications and disability-inclusive technology.

Bart Hengeveldمشاهده پروفایل

استادیار

• Internet of Things
• Human-Computer Interaction
• Sound Design
• +۳ مورد دیگر

Bart Hengeveld is an Assistant Professor at Eindhoven University of Technology's Department of Industrial Design, specializing in the 'body language' of the Internet of Things and the role of sound in computational technologies. His research focuses on how embedded systems present themselves appropriately in human environments, with particular attention to tangible user interfaces (TUIs), social interaction design, and data embodiment. Academic Background: BSc/MSc in Industrial Design Engineering from Delft University of Technology (2003), PhD at TU/e (2011) Key Roles: Member of the ACM TEI Steering Committee, Program Chair of TEI’16 in Eindhoven Teaching: Awarded two Teacher of the Year titles, oversees courses like 'The Sound of Smart Things' and 'From Idea to Design' Research Interests emphasize sound as a communication medium for ubiquitous technologies, including projects on public displays for nursing homes (R2S system), pedestrian trajectory sonification, and embodied passwords. His work bridges design, computer science, and social sciences, with over 50 publications in venues like TEI, CHI, and Creativity & Cognition. Notable Projects: LOOP (physical data artifact), Slots-Memento (intergenerational storytelling), and LinguaBytes (language learning for toddlers) Awards: Multiple teaching accolades for innovative pedagogy Current affiliations include the Future Everyday research cluster and the Making With… group, exploring speculative design and embodied interaction paradigms.

Paul Formosaمشاهده پروفایل

استاد

• Moral Philosophy
• Political Philosophy
• Kantian Ethics
• +۷ مورد دیگر

Professor Paul Formosa serves as the Research Training Director in the School of Humanities at Macquarie University, where he belongs to the Discipline of Philosophy. He previously held leadership positions including Head of the Department of Philosophy, founding co-Director of the Macquarie University Ethics and Agency Research Centre, and Director of the Centre for Agency, Values and Ethics (CAVE). Formosa has been an elected member of the University Senate and Faculty of Arts Board, and served as Department PhD and MRes Director. His research expertise spans multiple philosophical domains with particular depth in: Moral and political philosophy Kantian ethics and moral psychology Human dignity and autonomy Philosophy of technology focusing on AI, social media, and video games Formosa has produced nearly 100 research outputs with over 2,000 citations, demonstrating significant scholarly impact. His recent publications reveal a clear trajectory toward examining ethical implications of emerging technologies, particularly artificial intelligence. His work consistently bridges traditional philosophical frameworks with contemporary technological challenges, especially in AI ethics, video game morality, and digital citizenship. His notable recognitions include: Australian Research Council DECRA Fellowship Chief Investigator on three ARC Discovery Projects Macquarie University Research Fellow As an academic leader, Formosa has supervised numerous graduate students across philosophy and computing disciplines. He has secured significant research funding including the ARC Discovery Project 'Generative AI and Creative Industries: Ethical, Legal and Work Implications' (2025-2028, $480,554). His editorial contributions include Games and Culture journal and Educational Philosophy and Theory. Formosa remains actively engaged with the Macquarie University Ethics and Agency Research Centre and continues to advance interdisciplinary research at the intersection of philosophy, technology, and ethics.

• Computer Science
• Mobile Computing
• Human-Computer Interaction
• +۴ مورد دیگر

Peter Reichl is a Professor in the Faculty of Computer Science, leading the Research Group Cooperative Systems. His work spans interdisciplinary research in Human-Computer Interaction, IoT systems, and Digital Ethics. He actively contributes to the UN Sustainable Development Goals through innovative technology solutions. Key projects include the European Distributed Data Infrastructure for Energy, COMPASS, and symbIoTe. Research interests include mobile computing, tangible interfaces, quantum computing education, and ethical implications of digital transformation. Over 134 publications since 2008 reflect his work in music technology, IoT frameworks, and socio-technical systems analysis. Recent articles highlight creative tech solutions like LEGO-based music sequencers and philosophical explorations of Digital Humanism. He has organized major events like the Dagstuhl Workshop on Quality of Experience (QoE Vadis?) and contributed to policy discussions on digital democracy in Austria. Key Projects: symbIoTe (2016-2018), COMPASS (IoT solutions), European Energy Data Infrastructure (2023-2025) Notable Activities: Panellist on Digital Transformation Ethics (2024), Poster Presenter for Muco app (2022) Labs/Teams: Research Group Cooperative Systems focuses on IoT interoperability and human-centered tech design.

• Social Psychology
• Human-Robot Interaction
• Gender Studies
• +۷ مورد دیگر

Prof. Dr. Friederike A. Eyssel is a Professor in the Department of Psychology at the Faculty of Psychology and Sport Science, Bielefeld University. She leads the research group "Applied Social Psychology and Gender Studies" at the Center for Cognitive Interaction Technology (CITEC), a central interdisciplinary research institute. Her work bridges psychology, robotics, and gender studies, focusing on human-technology interaction. Her research interests include social robotics, anthropomorphism, dehumanization, and gender dynamics. She explores how humans perceive and interact with robots and AI systems, combining experimental social psychology with cutting-edge technology. Her interdisciplinary approach is central to Bielefeld's strategic research area on the Socio-Technical World. Her recent work involves major interdisciplinary projects such as CRC TRR 318 "Constructing Explainability," PREDICT, and Bots Building Bridges (3B), reflecting her engagement with the societal implications of AI and intelligent systems. She has also contributed to initiatives like AI Academy OWL and the New Center for Co-constructive Artificial Intelligence. Bielefeld University Equality Prize (2021) Karl-Peter Grotemeyer Prize for Excellence in University Teaching (2021) IEEE-RAS Distinguished Lecturer Award (2022) Prof. Eyssel is actively involved in academic governance, serving as Chairwoman of the Ethics Commission and the Equal Opportunities Commission at Bielefeld University. She has held visiting professorships at institutions including New York University Abu Dhabi, TU Dortmund, and the University of Cologne. Her leadership in interdisciplinary research and commitment to equality and teaching excellence underscore her significant contributions to academia. She is affiliated with key research centers including CITEC, CoR-Lab, and the Interdisciplinary Center for Gender Studies (IZG), and collaborates with strategic partners such as Miele, Bertelsmann, and Honda. Her research is supported by major funding bodies including the DFG, ERC, BMBF, and VolkswagenStiftung.

Vishal Patelمشاهده پروفایل

دانشیار

• Computer Vision
• Machine Learning
• Image Processing
• +۳ مورد دیگر

Vishal Patel is an Associate Professor of Electrical and Computer Engineering at Johns Hopkins University (JHU), affiliated with the Vision & Image Understanding (VIU) Lab. He previously held the position of A. Walter Tyson Assistant Professor at Rutgers University and was part of the research faculty at the University of Maryland Institute for Advanced Computer Studies (UMIACS). He earned his Ph.D. in Electrical Engineering from the University of Maryland, College Park in 2010. His research focuses on computer vision, machine learning, biometrics, medical image analysis, and signal/image processing. Key areas include cross-spectrum face synthesis, domain adaptation, open-set recognition, and medical image restoration. He leads the VIU Lab, advancing AI-driven visual reasoning and applications in healthcare, autonomous systems, and security. Patel serves as an Associate Editor for IEEE Transactions on Pattern Analysis and Machine Intelligence and holds leadership roles in the IEEE Biometrics Council and Signal Processing Society. He has received numerous awards, including the 2021 IEEE SPS Early Career Award, NSF CAREER Award, and IAPR Young Investigator Award. His work has been recognized through Best Paper Awards at IEEE AVSS, BTAS, and ICPR, and he became an IAPR Fellow in 2024. Recent research highlights include developing novel diffusion models for medical video generation (e.g., GenVOG, EyePose), universal image restoration frameworks (UniRes), and multimodal AI tools for surgical skill assessment and maritime surveillance. His lab’s collaborations span bioengineering, robotics, and defense applications, emphasizing both theoretical advances and real-world impact.