جست‌وجوی استاد و پژوهشگر

Linqi Luمشاهده پروفایل

استادیار

• Human-AI Communication
• Health Persuasion
• Computational Social Science
• +۵ مورد دیگر

Linqi Lu is an Assistant Professor in the Department of Communication at the University of North Dakota. She holds her position in the College of Arts and Sciences, specializing in interdisciplinary research that bridges communication, computer science, and psychology. Her work focuses on multimodal framing, emerging AI technologies, and communication's critical role in advancing public health, social justice, and public safety. Ph.D. in Communication with minors in Computer Science and Educational Psychology University of Wisconsin-Madison, 2025 Dr. Lu's research interests span Human-AI Communication, Health Persuasion, Computational Social Science, Multimodal Framing, and Human-Computer Interaction. Her work demonstrates a strong interdisciplinary approach, connecting communication theory with practical applications in health technology and AI. She teaches courses including Risk and Crisis Communication (COMM 451) and Principles of Professional Communication (COMM 516). Her publication record shows a consistent trajectory of impactful research since 2020, with significant growth in 2022-2025. Her work primarily appears in high-impact health communication journals, with increasing focus on AI applications in communication research. Notably, she has published several 2025 articles exploring cutting-edge topics like multimodal LLaVA chatbots, visual framing in social protests, and advanced AI applications for content analysis. Through her Google Scholar profile, she has accumulated 247 citations with an h-index of 7 and i10-index of 6, indicating solid scholarly impact in her field. Dr. Lu frequently collaborates with researchers from the University of Wisconsin-Madison, including prominent scholars like Douglas McLeod and Dhavan Shah. Her research demonstrates strong connections between communication theory and practical applications in public health crises, particularly during the pandemic. She has secured research funding for projects related to health communication, risk perception, and digital interventions, though specific grant details aren't provided in the source material. Her work with interdisciplinary teams demonstrates her ability to bridge communication theory with computer science applications, particularly in developing AI tools for health communication research and interventions.

Martin Feickمشاهده پروفایل

پژوهشگر

• Human-Computer Interaction
• Extended Reality (VR, AR, MR)
• Embodied AI
• +۳ مورد دیگر

Martin Feick is a Researcher at the Institute for Information Systems (WIN) at Karlsruhe Institute of Technology (KIT), where he leads the Adaptive Immersion & Embodied AI research team. His work focuses on Human-Computer Interaction , Extended Reality , and Embodied AI systems bridging virtual avatars and robotics. Doctoral degree in Computer Science (2020-2025) from Saarland University Researcher at German Research Center for Artificial Intelligence (DFKI) (2019-2024) M.Sc. and B.Sc. in Computer Science from HTW Saar His research explores: Virtual Reality user perception Haptic feedback systems (via his VoxelHap toolkit) Avatar embodiment in qualitative research AI-robot integration for human-centric applications

Andrew Macfarlaneمشاهده پروفایل

استاد

• Information Retrieval
• Human-Computer Interaction
• Artificial Intelligence in IR
• +۷ مورد دیگر

Dr Andrew Macfarlane is a Reader in Information Retrieval at the School of Mathematics, Computer Science and Engineering, City, University of London, and a key member of the Centre for HCI Design. His research bridges information retrieval, human-computer interaction, and accessibility, with a focus on improving search technologies for users with disabilities such as dyslexia and aphasia. He holds a PhD in Information Science from City, University of London, supervised by Professors Robertson and McCann (Imperial College London), an MSc in Advanced Methods in Computer Science (University of London), and a BSc in Computer Science (University of Westminster). He also earned a PGCert in Academic Practice from City. His research interests center on AI techniques for information retrieval and filtering, image retrieval, knowledge organization, and the intersection of IR with cognitive and physical disabilities. He explores how search systems can be made more inclusive and effective for diverse user groups, particularly in professional and journalistic contexts. His recent publications reflect a strong trend toward human-centered IR, with increasing focus on AI in journalism, accessibility, and sociotechnical design. Themes include dyslexia and aphasia in search, machine learning in multimedia retrieval, and the integration of AI into editorial workflows, emphasizing user needs and ethical design. Fellow, British Computer Society (2018) Fellow, Higher Education Academy (2017) Chartered Member (CITP), BCS (2004) Chartered Engineer, Engineering Council (2001) Andrew Macfarlane has supervised numerous PhD students in information science and computer science, covering topics from music IR to ontology-based search. He has served as principal investigator on projects like 'PhotoBrief' (TSB-funded) and co-investigator on 'SocialSensor'. His extensive professional service includes roles on program committees for SIGIR, CIKM, ECIR, and editorial board membership for the Journal of Information Science. He is actively involved in the BCS Information Retrieval Specialist Group, where he is a long-standing member and former chair, and contributes to the design and evaluation of search systems through both academic research and real-world applications.

Katrin Angerbauerمشاهده پروفایل

پژوهشگر

• Human-Computer Interaction (HCI)
• Accessibility in Visualization
• Virtual Reality (VR)
• +۴ مورد دیگر

Katrin Angerbauer is a Researcher at the Institute for Visualization and Interactive Systems (VISUS) at the University of Stuttgart, Faculty of Computer Science. Her work bridges Human-Computer Interaction (HCI) , Accessibility in Visualization , and Immersive Technologies . She contributes to empirical studies on Virtual Reality (VR) , Augmented Reality (AR) , and 2D/3D visualization techniques , focusing on user experience, attention guidance, and inclusive design.

Sergio Sayagoمشاهده پروفایل

مدرس

• Human-Computer Interaction
• Ageing and Technology
• Accessibility
• +۳ مورد دیگر

Sergio Sayago is a Lecturer in Human-Computer Interaction within the Polytechnic School of the Universitat de Lleida (Spain), based at the Campus Universitari Igualada-UdL . With a PhD in Computer Science and HCI from Universitat Pompeu Fabra (2009, cum laude), he has held research and teaching roles at institutions including the University of Dundee, UC3M, and Universitat de Barcelona. Research Interests : HCI and ageing populations Age-inclusive interface design Gender-inclusive digital solutions Ethnographic and participant observational methods Cultural contexts in technology Digital empowerment of vulnerable groups Article Trends : Recent work focuses on age-inclusive design (conversational AI, generative tools), gender-inclusive platforms (Colombian employment portals), and cultural frameworks in HCI . His studies span qualitative analyses of older adults' technology use, accessibility heuristics for cognitive diversity, and sociotechnical challenges in ethical research. Academic Leadership : He serves as Associate Editor for Interacting with Computers and the International Journal of Human-Computer Studies , and is a CHI program committee member . He has coordinated the Bachelor’s in Computer Engineering at Igualada and organized Spain’s 1st Summer School for PhD Students in HCI .

• Recommender Systems
• User Modeling
• Personalization
• +۱۱ مورد دیگر

Alan Said is an Associate Professor in the Department of Applied IT at the University of Gothenburg, where he also serves as Head of Education. His research focuses on recommender systems, user modeling, personalization, and the human-centered evaluation of AI technologies. He is actively engaged in promoting responsible, fair, and sustainable AI through interdisciplinary research and community leadership. Research Interests: User Modeling and Personalization Recommender Systems (RecSys) Human-Computer Interaction (HCI) and Human-Centered AI (HCAI) Explainable and Responsible AI Green AI and Environmental Impact of Recommender Systems Reproducibility and Evaluation Methodologies His recent publications reflect a strong trend toward ethical, sustainable, and socially conscious AI, with a focus on fairness in healthcare, environmental cost measurement, and interdisciplinary approaches to recommendation. He contributes extensively to top-tier venues such as ACM RecSys and UMAP. Scientific Awards: ACM Distinguished Speaker Advising and Grants: Alan Said advises students on topics ranging from fairness in AI to human-centered explanations and sustainable recommender systems. He has been involved in organizing workshops and special issues that promote critical reflection and interdisciplinary collaboration in the RecSys community. He has participated in funded research projects, including international collaborations supported by agencies like Vinnova. Labs and Teams: He is a key organizer of the Human-centered AI (HCAI) podcast and has co-organized influential workshops such as BEYOND and INTROSPECTIVES at RecSys, fostering dialogue on the societal and ethical dimensions of AI. His work bridges computer science, psychology, design, and ethics, emphasizing collaboration across disciplines.

Haohan Wangمشاهده پروفایل

استادیار

• Trustworthy Machine Learning
• Computational Biology
• Healthcare Applications
• +۵ مورد دیگر

Haohan Wang is an Assistant Professor at the University of Illinois Urbana-Champaign's School of Information Sciences, with affiliations to the Carl R. Woese Institute for Genomic Biology and the National Center for Supercomputing Applications. His research focuses on developing trustworthy machine learning methods for computational biology and healthcare applications , emphasizing robustness , causality , and interpretability in vision-based models. Recent research trends in his work include: Large Language Model interactions with biomedical challenges (GenoAgent, GenoTex) Adversarial security in language and vision models (Guard, Jailbreakzoo) Genomic data analysis through robust machine learning frameworks (Precision Lasso, Kernel Mixed Models) Interactive toolkits like Robustar for data annotation and model training Scientific awards include recognition as Baidu's Top 50 AI+X Rising Young Scholars (2022), Best Paper Honorable Mention at WSDM 2023, and Broad Institute's Next Generation status (2019). Current projects explore AI-made scientists for biomedical discovery and Robustar development for GUI-based robust vision learning.

• Human-Computer Interaction
• User Experience
• Physical Computing
• +۲ مورد دیگر

Dr. Cameron Steer is a Lecturer in Computer Science at the University of the West of England (UWE Bristol), affiliated with the Faculty of Environment and Technology and the Computer Science and Creative Technologies Department . He specializes in Human-Computer Interaction (HCI), User Experience (UX), and Physical Computing, with a focus on tangible user interfaces and shape-changing technologies. PhD in Computer Science from Swansea University Prior Research Associate at the University of Bath for the ERC FORCE-UI project Joined UWE Bristol in September 2023 His research investigates novel interaction techniques using tangible interfaces , non-rigid surfaces , and deformable displays , particularly for digital art, design tools, and game controllers. His publications include studies on cross-modal correspondences between surface stiffness and visual elements, reconfigurable touchscreen systems, and tangible color-mixing interfaces. He actively collaborates with researchers in the Expressive Computer Interactions theme at UWE Bristol and has contributed to key conferences like CHI and MobileHCI.

Catherine O'Brienمشاهده پروفایل

پژوهشگر ارشد

• Human-Computer Interaction
• Qualitative Research
• Digital Forensics
• +۴ مورد دیگر

Catherine O'Brien is a Research Fellow in Human-Computer Interaction (Qualitative) at the Department of Computer Science, University College London. She conducts qualitative research on digital forensics and online content reporting tools, with expertise spanning both computer science and material culture studies. Her educational background includes: DPhil in Archaeology (cognitive and anthropological) from the University of Oxford MSc in Visual, Material, Museum Anthropology from the University of Oxford BA in Archaeology and Anthropology from the University of Oxford Dr. O'Brien's research focuses on the intersection of human experience and technology, particularly examining how digital interfaces impact wellbeing and how physical craft practices persist in digital environments. Her work combines material engagement theory with contemporary HCI challenges, exploring topics from pottery making during the pandemic to digital forensic triage for first responders. She employs diverse qualitative methods including digital ethnography, sensory ethnography, semi-structured interviews, and co-design workshops using evidence-based design artefacts. Her recent publications demonstrate a clear trajectory connecting material culture studies with contemporary digital challenges. Early work examined pottery skill development during the pandemic, while more recent publications focus on digital forensics and content moderation systems. This evolution shows her ability to apply anthropological perspectives to emerging technological challenges in security and social media. Dr. O'Brien is currently involved in two major research projects: "Towards a Smart Digital Forensic Advisor to Support First Responders with At-Scene Triage of Digital Evidence Across Crime Types" (UKRI funded) "UseCRT - Usability and User Experience of Online Content Reporting Tools" (REPHRAIN funded)

Sukran Karaosmanogluمشاهده پروفایل

پژوهشگر

• Immersive Virtual Reality
• Human-Computer Interaction
• Exergames
• +۴ مورد دیگر

Sukran Karaosmanoglu is a Researcher at the Department of Informatics , Faculty of Mathematics, Informatics and Natural Sciences of the University of Hamburg . She works under the Human-Computer Interaction research group led by Prof. Dr. Steinicke. Her roles include postdoctoral research, teaching, and scientific service on conference committees. B.Sc. in Psychology (Yaşar University, Türkiye, 2017) M.Sc. in Cognitive Systems (Ulm University, Germany, 2020) Ph.D. in Computer Science (University of Hamburg, 2025) Research Focus: Designing immersive VR games for societal impact, particularly in physical activity, active aging, and social interaction. Her work bridges game design, health informatics, and inclusive technology, contributing to UN SDG 3 (Good Health and Well-being). Recent projects include exploring AI in exergames for older adults and analyzing potential harms of immersive exergames. Teaching: Courses in Interactive Game Development , User Interface Software & Technology , and Usability Engineering & UX Design at the University of Hamburg from 2023-2025. She also co-led the German HCI Event organization in 2024-2025. Awards: CHI PLAY'24 Excellence in Reviewing Award 2023-2024 Honorable Mention Awards at ACM CHI DAAD Kongressreisenprogramm grant Scientific Service: CHI PLAY Steering Committee (2021-2025) SV Chair (2021-2022) Proceedings Chair (2023) WIP Chair (2024-2025) CHI Conference Reviewer (2021-2025) Publications: Her 27+ works span VR exergame design, social interaction in games, accessibility in immersive technology, and systematic reviews on HCI research quality. Key collaborations include co-authored studies with international researchers in Canada, Finland, and Germany.

Andrew Monkمشاهده پروفایل

استاد

• Human-Computer Interaction (HCI)
• Usability Research
• Assistive Technology
• +۳ مورد دیگر

Andrew Monk is Professor of Psychology at York University and Director of the Centre for Usability and Human-Computer Interaction Research (CUHTec). His research focuses on technology to support older adults' independence, including banking systems for individuals over 80, assistive technology for dementia care, and mainstream usability solutions. He has held leadership roles in the British HCI Group (Chair: 1997-2001) and the ACM Sig CHI community (ACM CHI Academy, 2005). Current affiliation: York University (Psychology Department) Leadership: Director of CUHTec Research Interests: Human-Computer Interaction (HCI) with emphasis on lightweight usability methods, secure delegation in digital payments, multimodal communication systems, and adaptive designs for aging populations. Publication Trends: His work spans 25+ years, showing sustained focus on user-centered design challenges from early hypertext systems (1989) to modern socio-technical frameworks for financial delegation (2014). Key themes include accessibility, security, and cognitive support through technology. Scientific Recognition Fellow of the British Computer Society ACM CHI Academy member (2005) Labs & Teams: As Director of CUHTec, he leads interdisciplinary research initiatives combining psychology and computing science to address real-world technological challenges.

Dave Kirkمشاهده پروفایل

استاد

• Human-Computer Interaction
• Design Research Methods
• Video-Mediated Communication
• +۷ مورد دیگر

Dave Kirk is Professor of Human-Centred Design and Director of Open Lab at Newcastle University, with over 20 years of research experience in Human-Computer Interaction (HCI). His work integrates field research, prototyping, and speculative design to create value-sensitive interactive technologies and future worlds. His research spans multiple application areas including: Video-Mediated Communication and Human-Building Interaction Memory, Memorialisation, and Cultural Heritage systems Human-Data Interaction and Digital Civics Digital Health, Wellbeing, and Human-Robot Interaction Slow Technology and Human-AI Interactions His publication portfolio shows consistent focus on speculative design methods and ethical technology development. Recent works explore alternate history artifacts for research (2024), virtual funeral design fiction (2025), and feminist museum reimagination (2023), demonstrating evolving expertise in cultural computing and meaningful technology design. Major projects include: EPSRC Centre for Digital Citizens (£3.8M, PI, finishing 2026) Northern Health Futures Digital Health Hub (£3.4M, Co-I, finishing 2026) Transforming Objective Real-world measUrement of Symptoms (£6.1M, Co-I, finishing 2028) He has supervised 11 PhD students through the EPSRC Centre for Doctoral Training in Digital Civics, with the final cohort completing in 2025. Kirk leads multi-institutional partnerships involving over 40 organizations, with significant engagement with Voluntary, Community, and Social Enterprise partners to develop regional innovation ecosystems.

Rachel Falconerمشاهده پروفایل

مدرس

• Digital Arts
• Feminist Technoscience
• Human-Computer Interaction (HCI)
• +۴ مورد دیگر

Rachel Falconer is a Lecturer in the Department of Computing at Goldsmiths, University of London, and serves as Head of the Digital Arts Computing BSc program. She is also the Goldsmiths Digital Project Manager. Her work bridges digital art curation, feminist technoscience, and critical engagement with emergent technologies. Falconer holds an MA in Curating Contemporary Art from the Royal College of Art and a BA in Industrial Design and Multimedia Communications from UCL/Politecnico di Milano. Her research focuses on networked curatorial strategies, human-computer interaction, and decentralized technologies. She has curated exhibitions at institutions like Tate, Barbican, and V&A, and her writing appears in Frieze , British Journal of Photography , and The Guardian . Falconer supervises PhD students in computational arts and digital arts computing, including primary supervision of Yajuan Han. Her articles explore themes like distributed knowledge production and the societal implications of AI. She frequently speaks at events such as EVA London and the Institute of Network Cultures, advocating for critical perspectives on technology's role in culture and society.

Shameem Ahmedمشاهده پروفایل

دانشیار

• Technology for Neurodivergent Individuals
• Human-Computer Interaction (HCI)
• Information and Communication Technologies for Development (ICTD)

Dr. Shameem Ahmed is an Associate Professor in the Department of Computer Science at Western Washington University. He co-founded and co-directs the NEAT (Next Generation Effective Affective Technology) research group, focusing on interdisciplinary work at the intersection of technology for neurodivergent individuals, human-computer interaction (HCI), and information and communication technologies for development (ICTD). Education: Ph.D. in Information Science from University of Illinois at Urbana-Champaign MS in Computer Science from University of Illinois at Urbana-Champaign MS in Computer Science from Marquette University B.Sc. in Computer Science and Engineering from Bangladesh University of Engineering and Technology His research explores assistive technologies for autistic individuals, including emotion detection, stress prediction, and accessible education design. Recent work includes IEEE COMPSAC 2024 publications on emotion recognition systems and assessment techniques for autistic students. His peer-reviewed articles span topics like mixed-reality training platforms , data-driven stress analysis , and self-healing middleware , with a focus on surveys, systematic reviews, and technology deployment in developing regions. He has mentored students receiving WWU CS Outstanding Graduate Student and Alumni Awards . Awards: Outstanding Poster Award, Undergraduate Scholars Poster Session, WWU (2017, 2016) Dissertation Fellowship, iSchool, UIUC (2014) Honorable Mention: Best Poster Award, ACM iConference (2013) Sohaib and Sara Abbasi Fellowship, CS, UIUC (2008) Runner-up, CS UIUC Internet Television (IPTV) Development Competition (2008) Shameem Ahmed teaches courses in database systems , mobile programming , and technology for social good . His NEAT lab has produced impactful tools like InterViewR for job interview training simulations and studies on autism support systems in Bangladesh.

• Human-Computer Interaction
• Virtual Reality
• Biomechanical Engineering
• +۴ مورد دیگر

Sidney S. Fels is a Professor at the University of British Columbia, affiliated with the Human Communication Technologies Lab in Vancouver. His research spans Human-Computer Interaction (HCI), Virtual Reality, Biomechanical Engineering, Speech Synthesis, and Medical Imaging. He focuses on innovative interfaces, surgical simulation, and AI-driven educational tools. Recent work includes advancements in touch interaction systems (e.g., HaloTouch), chatbot-assisted learning, and biomechanical modeling for medical applications. His research interests emphasize bridging computational models with real-world applications, particularly in healthcare and education. Notable contributions include contributions to CHI conferences, SIGGRAPH, and INTERSPEECH, showcasing work on AI ethics in learning environments, vocal tract modeling, and pervasive computing systems. Fels collaborates extensively with researchers in engineering, medicine, and computer science, reflecting his interdisciplinary approach to solving complex human-centric challenges. Labs/Teams: Human Communication Technologies Lab at UBC.