جست‌وجوی استاد و پژوهشگر

Fang Wangمشاهده پروفایل

استاد

• Social Media Analytics
• E-commerce Behavior
• AI Applications
• +۳ مورد دیگر

Dr. Fang Wang is Professor at Wilfrid Laurier University's Lazaridis School of Business and Economics. Her research examines social media ecosystems, digital consumer behavior, and AI applications across domains including influencer marketing, e-commerce, and educational technology. Key research streams investigate: 1) Social media influencer dynamics including virtual influencers, parasocial relationships, and threat mechanisms; 2) E-commerce platform design factors affecting review helpfulness, seller networks, and livestream commerce; 3) AI adoption challenges in conversational agents, fitness apps, and educational contexts; and 4) Augmented reality applications in media consumption. Methodologies combine text mining, experimental designs, network analysis, and systematic reviews. Her work appears in information systems, marketing, and human-computer interaction venues. Recent projects analyze pandemic impacts on pharmaceutical disclosures, homophily in livestream commerce, and generativity of enterprise IT systems. Teaching interests focus on empirical methods and technology-business interfaces.

Zhilin Guoمشاهده پروفایل

پژوهشگر

• Artificial Intelligence
• Computer Vision
• Deep Learning
• +۵ مورد دیگر

Zhilin Guo is a PhD student in the Department of Computer Science and Technology at the University of Cambridge , associated with the Core Lab and supervised by Prof. Cengiz Öztireli . His research focuses on AI algorithms for high-fidelity 3D scene understanding , reconstruction , and editing , driven by a passion for enabling machines to interpret and recreate the real world. His academic background includes a Master's degree in Computer Science from Columbia University , where he worked on spatial-temporal 3D hand pose estimation for Parkinson's Disease evaluation under Prof. Zhiguo Cao and Prof. Yang Xiao . He holds a Bachelor's degree from Boston University , where his foundation in Computer Science and Artificial Intelligence was established. Research Interests: Artificial Intelligence, Computer Vision, Deep Learning, 3D Scene Reconstruction, Neural Radiance Fields, Medical Image Analysis Experience: Neuromorphic Computing (2023-present), Hand Pose Estimation (2022-2023), Self-driving Algorithm Research (2020-2022), fMRI Data Analysis (2019). Publications: 4+ peer-reviewed articles at conferences like NeurIPS , ECCV , and journals including IEEE Journal of Biomedical and Health Informatics . Outside research, he enjoys tennis , jogging , and miniature painting . He actively seeks academic collaborations and can be contacted at zg296@cam.ac.uk .

Florian Lingenfelserمشاهده پروفایل

پژوهشگر ارشد

• Human-Centered Artificial Intelligence
• Social Robotics
• Emotion Recognition
• +۵ مورد دیگر

Dr. Florian Lingenfelser is a Research Fellow at the Chair for Human-Centered Artificial Intelligence, affiliated with the Faculty of Applied Computer Science at the University of Augsburg. He focuses on advancing human-centered AI technologies, particularly in social signal interpretation and emotion recognition. His work integrates real-time analysis of human behavior through gestures, facial expressions, and speech. Key research contributions include the Social Signal Interpretation (SSI) framework, a C++-based tool enabling parallel processing of multi-modal data from sensors. This framework supports machine learning pipelines, personalized model creation, and cross-device synchronization. His projects emphasize applications in healthcare, education, and industry 4.0, addressing topics like cobot worker mental health (MindBot), emotion-aware virtual agents (EMPAT), and empathetic data systems (CEEDs). Lingenfelser collaborates on initiatives such as FORSocialRobots, BIGEKO, and AVASAG, advancing AI's role in social interaction. His lab (HCM-Lab) develops sentient entities like PRESENT (photorealistic avatars) and GLASSISTANT (wearable AI assistants for memory care). Current work explores trust-building in AI systems (OC-Trust) and culturally adaptive behavior generation (Cube-G).

• Virtual Reality (VR)
• Computer Graphics
• Human-Computer Interaction
• +۳ مورد دیگر

Alejandro Beacco Porres is a Researcher at the Universitat Politècnica de Catalunya (UPC) in the Department of Computer Science, affiliated with the Barcelona School of Informatics (FIB). He is a core member of the ViRVIG research group focusing on Virtual Reality, Real-Time Graphics, and Crowd Simulation. His work bridges computer graphics, human-computer interaction, and clinical applications of VR. Research interests include real-time crowd rendering techniques, embodied VR experiences, and applications in mental health. Notable contributions include QuickVR toolkit development, studies on virtual body ownership effects, and VR-based therapy for anxiety and psychosis. He has collaborated extensively with Prof. Mel Slater and international teams on projects funded by Horizon Europe and Spanish National Research Programs. Publications span high-impact journals like Scientific Reports, IEEE Transactions, and The Lancet Psychiatry. His work explores both technical advancements (e.g., avatar reconstruction from images) and socio-ethical implications of VR. Active in both academia and industry, he has led projects addressing cultural heritage visualization and medical training simulations. Education includes a PhD in Computer Science from UPC (2014), with dissertation on real-time crowd simulation. He maintains strong ties with the European Association for Computer Graphics (Eurographics) through conference organizing and peer review activities.

June Weiمشاهده پروفایل

استاد

• E-Commerce
• Information Security
• Human-Computer Interaction
• +۵ مورد دیگر

Dr. June (Jun) Wei is a Professor in the Department of Business Administration at the University of West Florida's Lewis Bear Jr. College of Business. She holds a Ph.D. in Industrial Engineering from Purdue University. Her research focuses on e-business, mobile communication systems, information security, and human behavior in digital environments. She has over 100 publications in journals like Electronic Commerce Research and International Journal of Mobile Communications . Wei's work bridges technology and business, addressing topics such as mobile banking risk assessment, rural digital governance, and wearable device adoption. She has received the 2016 Dyson Award for Excellence in Service and serves as Senior Editor of International Journal of Mobile Communications and Editor-in-Chief of Electronic Government: An International Journal . Education: Ph.D. in Industrial Engineering from Purdue University Professional Experience: Former software engineer at Marconi Communications and quality control specialist at Bausch & Lomb Research Interests: Mobile systems design, e-commerce innovation, IT in healthcare, and human-computer interaction Her research emphasizes practical applications, including frameworks for GPS-based mobile shopping systems and risk assessment models for manufacturing supply chains. She collaborates closely with students on publishable research and funding proposals.

Llogari Casas Cambraمشاهده پروفایل

پژوهشگر ارشد

• Augmented Reality (AR)
• Mixed Reality (MR)
• Artificial Intelligence (AI)
• +۶ مورد دیگر

Dr. Llogari Casas Cambra is a Research Fellow at the School of Computing Engineering and the Built Environment, Edinburgh Napier University. He holds a PhD from the same institution as part of a Horizon 2020 Marie Curie Fellowship. His work focuses on Augmented Reality (AR), Mixed Reality (MR), and Artificial Intelligence (AI), with notable contributions including Intermediated Reality – a groundbreaking tool animating real-world objects through AR. He has secured grants from the European Commission (£929,077 for CAROUSEL+ project) and Innovate UK, and his research has been showcased at ACM SIGGRAPH and IEEE conferences. His research interests span generative AI, real-time graphics optimization, and socially interactive systems. Key achievements include developing emotionally intelligent avatars (MoodFlow), voice-driven VR environments (HoloJig), and facial detail reconstruction on mobile devices (FaceMagic). He has been awarded the Young Computer Researcher Award (2021) and the Jóvenes máshumano Prize (2024). Education: PhD (Edinburgh Napier), M.Sc. Computer Animation (Kingston University), B.Sc. Multimedia (UPC) Leadership: Founded 3FINERY LTD and Flash Park, securing over £500k in grants Patents: 4 issued including Intermediated Reality systems and facial rendering techniques

• Human-Centred Computing
• Information Systems
• Ethics in Technology
• +۷ مورد دیگر

Sian Joel-Edgar is an Associate Professor in Human-Centred Computing and Director of Post-Graduate Taught Programs at Northeastern University London. She previously held roles as a Staff Tutor at the Open University and Lecturer at Aston University. Her research focuses on human-centered computing, ethics of emerging technologies, and digital transformation, particularly in healthcare, HR, and creative industries contexts. She holds a PhD in Human-Computer Interaction from Napier University, Edinburgh, and an MSc in Computer Science from the University of East Anglia, alongside being a Fellow of the Higher Education Academy. Her research explores AI adoption barriers/enablers in HR, ethical implications of VR, and social media's role in political activism (e.g., #IBelieveHer campaign analysis). She has published widely on AI transparency, generative AI for thematic analysis, and immersive learning technologies. Teaching includes courses on digital transformation strategy, AI ethics, and business process management at postgraduate levels. Awards include recognition from the Higher Education Academy. Current roles involve overseeing taught postgraduate programs and leading interdisciplinary research projects on AI and socio-technical systems.

Kris Hauserمشاهده پروفایل

استاد

• Robot Motion Planning
• Robot Control
• Autonomous Systems
• +۶ مورد دیگر

Kris Hauser is a Professor in the Department of Computer Science at the University of Illinois at Urbana-Champaign (UIUC), with affiliate appointments in the Departments of Electrical and Computer Engineering and Mechanical Science and Engineering. He holds a PhD in Computer Science from Stanford University and B.A. degrees in Computer Science and Mathematics from UC Berkeley. Prior to UIUC, he served as faculty at Indiana University (2009–2014) and Duke University (2014–2019), where he founded the Intelligent Motion Lab. He has also consulted for Waymo since 2019 and is the Director of the Coordinated Sciences Lab Robotics Group at UIUC. His research focuses on robot planning and control, semi-autonomous systems, and applications in intelligent vehicles, medical robotics, and legged locomotion. Key methodologies include optimization, probabilistic methods, AI, and physics simulation. His work bridges theory with real-world applications, such as robotic surgery, warehouse automation, and autonomous driving. Prof. Hauser has received notable awards including the NSF CAREER Award, Siebel Scholar Fellowship, and multiple Amazon Research Awards. He actively engages in teaching advanced robotics courses at UIUC and has contributed to open-source robotics frameworks like the Klamp't package. His lab emphasizes interdisciplinary collaboration, with projects ranging from UV disinfection robots to telepresence avatars.

Zahra Montazeriمشاهده پروفایل

مدرس

• Computer Graphics
• Physics-based Rendering
• Material Modeling
• +۳ مورد دیگر

Zahra Montazeri is a Lecturer (Assistant Professor) in the Department of Computer Science at the University of Manchester. Her research focuses on physics-based computer graphics, particularly photorealistic rendering and appearance modeling for complex materials like cloth, hair, and fur. She holds a PhD in Computer Science from the University of California, Irvine (UCI), and has industry experience at Disney Research, WetaDigital, Industrial Light & Magic (ILM), Pixar, and Luxion. **Education:** PhD in Computer Science (UCI, 2015–2021) M.Sc. in Computer Science (UCI, 2015–2017) B.Sc. in Computer Engineering (Sharif University of Technology, Iran, 2010–2014) **Research Interests:** Zahra’s work bridges academic and industrial applications, emphasizing practical and efficient rendering techniques. Her key areas include physics-based rendering, material modeling for fabrics, and virtual reality optimizations like foveated rendering. She collaborates with industry leaders such as WetaDigital and has contributed to movies like The Mandalorian and Avatar: The Way of Water . **Articles Trends:** Recent work focuses on texture-free cloth rendering, dynamic BTF synthesis, and neural-based material models. Her research often addresses computational efficiency while maintaining photorealism, with applications in film, gaming, and VR. **Awards:** Best Paper Award at EGSR (2023) Best Visuals Award at EGSR (2023) UCI Doctral Fellowship (2015) LightSpeed Venture Partners Summer Fellowship (2016) **Advising & Grants:** Advises four PhD students and has one alumni (David Petrescu). Her group actively collaborates with industry and explores applied research in rendering and virtual environments. She serves on program committees for PG, EGSR, and I3D. **Labs/Teams:** Leads a research group at Manchester focused on graphics and virtual environments, with interdisciplinary projects in computer vision, AI, and material science.

• Cognitive Psychology
• Experimental Neuropsychology
• Affordances
• +۷ مورد دیگر

Claudia Scorolli is an Associate Professor at the University of Bologna's Department of Philosophy and Communication Studies, specializing in General Psychology. She leads the XR-GRACE research group focused on Extended Reality applications for creativity and sustainability. As coordinator of post-graduate professional internships in Cognitive Psychology and Experimental Neuropsychology, she bridges academic training with professional practice. Her interdisciplinary work spans cognitive science, embodied cognition, and human-AI interaction, with notable contributions to affordance theory, creative ontology development, and VR applications in social sensitivity. Education includes a Ph.D. in Cognitive Science (2009), PsyD in Psychotherapy (2014), and advanced training in psychodrama. She has held senior roles in EU projects like MEETINGDEM (dementia care support programs) and ROSSI (robotic communication). Her research explores how materials, language, and technology shape perception and creativity, with a focus on sustainability and cultural factors. She maintains active collaborations in AI ethics, XR aesthetics, and embodied language processing. Awarded Full Professor qualification (2021-2030), she advises on Erasmus+ mobility and teaches research methods in cognitive science. Her work appears in venues like Frontiers in Psychology and IEEE VR, with recent emphases on VR-induced empathy, AI creativity attribution, and sustainable material perception.

Lee Tusmanمشاهده پروفایل

دانشیار

• Decentralized Networks
• Generative Processes
• Sonification of Data
• +۵ مورد دیگر

Lee Tusman is an Associate Professor of New Media and Computer Science at Purchase College's School of Film and Media Studies. His work spans interactive media, software art, and curatorial projects, emphasizing open-source practices and collaborative DIY culture. He holds a BA from Brandeis University and an MFA from UCLA's Design Media Arts program. His research focuses on decentralized networks, generative processes, and alternative interfaces. Lee’s projects include Messlife (a virtual art warehouse), Borscht Belt System (exploring Jewish cultural history through AI), and Self-Doubting System (a generative zero-player game). He co-founded Processing Community Day NYC and Babycastles, an artist-run space promoting experimental games. His work has been exhibited globally, including at MIT, The Hammer Museum, and the Barnes Foundation. Lee actively mentors through the Processing Foundation and has secured grants from NYC Department of Cultural Affairs and Pew Center for Arts & Heritage. His podcast Artists and Hackers explores intersections of art, technology, and culture. His digital tools emphasize accessibility, as seen in workshops for underrepresented groups in tech.

Ifeoma Nwoguمشاهده پروفایل

دانشیار

• Human Behavior Modeling
• Sign Language Understanding
• Probabilistic Modeling
• +۵ مورد دیگر

Ifeoma Nwogu is an Associate Professor in the Department of Computer Science and Engineering at the University at Buffalo. She holds an appointment in the School of Engineering and Applied Sciences, specializing in research areas including human behavior modeling, sign language understanding, and probabilistic modeling. Her work spans computer vision, robotics, and AI with applications in healthcare, education, and social signal processing. Her research focuses on advancing technologies for sign language interpretation, infant vocal analysis, and human-robot interaction. Key projects include developing automated code generation frameworks for social robots, 3D motion synthesis systems for sign language avatars, and methodologies for emotion recognition in facial interactions. She teaches courses such as CSE 455/555 (Pattern Recognition), CSE 610 (Special Topics), and CSE 706 (Seminars), reflecting her expertise in AI and machine learning. Nwogu's recent publications emphasize cross-disciplinary applications of machine learning, including medical imaging anonymization, multi-agent systems, and ethical considerations in data privacy. Her work bridges computational methods with societal needs, particularly in education accessibility for deaf communities and stroke rehabilitation technologies.

Xiaobin Chenمشاهده پروفایل

استادیار

• Artificial Intelligence in Education
• Intelligent Computer Assisted Language Learning (ICALL)
• Second Language Acquisition
• +۷ مورد دیگر

Xiaobin Chen is a Junior Professor at the University of Tübingen, affiliated with the Hector Institute for Empirical Educational Research within the Faculty of Humanities and the Department of Social Sciences. He leads research at the intersection of artificial intelligence and language education, with strong institutional support from the German Federal Ministry of Education and Research (BMBF). His work is deeply collaborative, involving partnerships with researchers across institutions and active participation in the LEAD Graduate School & Research Network. His research focuses on leveraging artificial intelligence and natural language processing to enhance second language learning. Key areas include Intelligent Computer-Assisted Language Learning (ICALL), automated language assessment, readability modeling, and the design of pedagogically sound AI tools such as conversational agents and interactive reading platforms. His work emphasizes aligning technological innovation with educational theory and classroom needs. The recent publications reflect a strong trajectory in AI-driven educational research, particularly in applying NLP to analyze learner language, develop intelligent tools, and assess language proficiency. Themes across the articles include individual differences in learning, human-AI collaboration, automated scoring, and the integration of AI into real-world educational settings, especially in EFL contexts. Xiaobin Chen leads two major BMBF-funded research projects: Aisla - Intelligent Language Assistant for Learning English in Everyday Situations (2021–2024) AI in Education: Pedagogically Oriented Language Knowledge Extraction and Readability-Controllable Natural Language Generation (2022–2025) These projects support his team’s development of innovative, theory-informed AI systems for language learning and assessment. He is associated with the KIBi Research Group , which focuses on integrating knowledge, interaction, and behavior in intelligent educational systems. The group develops and evaluates digital tools that adapt to learners’ needs, using data from interaction logs and linguistic analysis to drive personalization.

Xavier Puigمشاهده پروفایل

پژوهشگر

• Embodied AI
• Artificial Intelligence
• Computer Science
• +۴ مورد دیگر

Xavier Puig is a Research Scientist at FAIR, focusing on Embodied AI and human-centered intelligent systems. Previously, he earned his Ph.D. from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL), advised by Professor Antonio Torralba. He also holds a double degree in Computer Science and Telecommunications from UPC's CFIS program. Education Ph.D., MIT (CSAIL), 2022 B.S./B.S., UPC (CFIS program), 2016 Research Interests span building agents that collaborate with humans through goal anticipation, task coordination, and realistic behavior modeling in simulation environments. His work integrates Embodied AI , Multi-agent Systems , and 3D Scene Understanding with applications in Human-Robot Collaboration and Interactive Decision-Making . Recent Trends in his publications emphasize Planning in Multi-agent Environments , Language-guided Robotics , Procedural Scene Generation , and Human Foundation Models for embodied tasks. Scientific Awards Best Paper Award, NeurIPS Cooperative AI Workshop (2020) Spotlight Presentation, ICLR (2021)

• Medical Image Analysis
• Computer Vision
• Machine Learning
• +۴ مورد دیگر

Vajira Thambawita is a researcher at the University of Oslo's Department of Informatics, specializing in medical image analysis and AI-driven healthcare solutions. With over 90 publications since 2019, their work spans gastrointestinal endoscopy, reproductive medicine technology, and multimedia systems for clinical applications. Research focuses on medical image segmentation (polyp detection, sperm tracking), anomaly detection in time-series data, and multimodal analysis for clinical decision support. Key projects include the Medico Multimedia Task at MediaEval (sperm tracking), VISEM-Tracking dataset, and ImageCLEFmedical challenges for GI tract analysis. Their work bridges computer vision with clinical practice through collaborations with Oslo University Hospital and Simula Research Laboratory. Recent publications demonstrate strong trends in generative AI for medical data augmentation (SinGAN-Seg, PolypConnect), explainable AI for clinical validation , and multimodal integration (SoccerNet-Echoes). The research consistently targets real-world clinical problems with emphasis on transparency and robust evaluation. Thambawita actively contributes to major benchmark challenges including ImageCLEF, Medico, and Medical AI competitions, serving as organizer and participant in advancing evaluation standards for medical AI systems.