جست‌وجوی استاد و پژوهشگر

Heather MacNeilمشاهده پروفایل

استاد

• Archival Theory
• Recordkeeping Histories
• Trustworthiness of Records
• +۴ مورد دیگر

Heather MacNeil is a Professor at the University of Toronto's Faculty of Information , specializing in archival theory, recordkeeping histories, and the trustworthiness of records. Her work bridges archival science with cultural studies, examining how archives and museums construct knowledge through documentation practices. Education : PhD, University of British Columbia (1995-1999) Master of Archival Studies, University of British Columbia (1984-1987) MA, Simon Fraser University (1980-1984) BA (Hons), University of Guelph (1976-1980) Research Focus : Archival representation and authenticity Cross-disciplinary knowledge organization Social justice implications of records Evolution of archival description genres Teaching : INF2185H: Libraries, Archives, Museums INF2146H: Trusting Records INF2174H: Histories of Records and Archives BKS2000H: Book History and Print Culture Recent Scholarship Trends** Her recent work emphasizes digital transitions in archival practices, historical analysis of recordkeeping systems, and the socio-cultural dimensions of archives. Collaborations with museums reveal interdisciplinary approaches to knowledge curation. Awards & Recognition** James J. Talman Award (2015) for innovative archival contributions Hugh A. Taylor Prize (2010) for groundbreaking article on archival theory Grants & Funding** SSHRC grants for projects on archives and social justice (2014-2017) Connaught Fund support for digital description research (2008-2010) Lab/Team Affiliations** Central contributor to the Faculty of Information's archival studies program, fostering collaborations across libraries, museums, and academic institutions.

• Robotics
• Computer Vision
• Machine Learning
• +۴ مورد دیگر

Nicolas RAGOT is an Associate Professor at CESI, affiliated with the Engineering and Numerical Tools department. He teaches Digital and embedded electronics, Microcontroller programming, System control, and Sensors at the Bachelor and Master levels. His research focuses on Environment perception for robotics and Computer vision, particularly in unconventional applications. He leads or collaborates on major research programs including ROJUNACO (2023–2025), FUSION (2023–2027), OASIS (2022–2024), and COLIBRY (2021–2024), all addressing robotics, digital twins, and industrial automation. He co-supervises PhD students Y. Feddoul, S. Ouarab, and S. Choudhary. His work spans smart mobility, assistive technologies, and energy-efficient systems. He is a member of the Secure Electronic Transactions (TES) competitiveness cluster's expert committee. Education: PhD in Computer Vision (University of Rouen, 2009), Master in Electrical Engineering (University of Paris XI, 2003), Engineering diploma (ESIGELEC, 1999). Research interests emphasize robot perception, human-robot collaboration, and extended reality integration. His publications span object detection, SLAM algorithms, and smart wheelchair systems. Current projects emphasize industrial robotics, digital twins, and real-time 3D reconstruction. Advising and grants include leadership roles in multiple research programs and co-supervision of three PhDs. His lab work focuses on Engineering and Numerical Tools, with contributions to CESI LINEACT's collaborative robotics initiatives.

• Artificial Intelligence and Data Science
• Decision Making & Optimization
• Machine Learning & Intelligence
• +۸ مورد دیگر

Min Lee is a Full-time Assistant Professor of Computer Science at Singapore Management University's School of Computing and Information Systems (SCIS). Holding a PhD from Carnegie Mellon University (2021), Lee specializes in Artificial Intelligence with a focus on Human-AI Collaborative Systems and their applications in healthcare. Their research bridges technical innovation with human-centric design, emphasizing trustworthiness, explainability, and accessibility in AI systems. Research interests include decision-making optimization, human-machine collaboration, and AI-driven solutions for healthcare challenges such as stroke rehabilitation, elderly care monitoring, and clinical decision support. Lee has pioneered low-cost AI/robotic solutions for post-stroke rehabilitation exercises, integrating socially assistive robotics with real-time feedback mechanisms. Recent work highlights AI's role in enabling trustworthy clinical decision-making through explainable AI (XAI) techniques like counterfactual explanations and gradient-based methods. Their systems address ethical concerns in predictive healthcare and advocate for stakeholder-inclusive design processes. Awards and grants: No specific awards mentioned in the profile, though research has been supported through collaborative projects with clinical partners and iterative user evaluations involving therapists and patients. Advising focuses on multidisciplinary projects spanning AI, healthcare, and human-computer interaction. Current advisees include BHOSALE Rimmon Saloman, TRAN Truong Thuy, and YANG Xinlin. Lee collaborates closely with clinical stakeholders to translate technical advancements into practical healthcare solutions, emphasizing iterative design and real-world applicability. Labs/teams: Active in SCIS's AI and Data Science initiatives, leading projects on intelligent decision support systems, socially assistive robotics for rehabilitation, and human-centered AI ethics frameworks.

Jörg Beckerمشاهده پروفایل

استاد

• Business Informatics
• Information Systems
• E-Government
• +۴ مورد دیگر

Prof. Dr. Dr. hc Jörg Becker is a Senior Professor at the University of Münster, leading the Chair of Business Informatics and Information Management. He holds prominent roles such as Director of the European Research Center for Information Systems (ERCIS) and former Pro-Rector for Strategic Planning. His expertise spans e-government, process management, and digital transformation. Becker earned his habilitation and doctorate from Saarland University, specializing in information systems and material flow control. Research focuses include hybrid value creation, trade information systems, and smart energy business models. He has advised numerous institutions and served on national committees like the Plattform 'Digitale Verwaltung' and the National E-Government Competence Center (NEGZ). His editorial roles include Business & Information Systems Engineering and Information Systems and e-Business Management. Becker has authored over 200 publications, with recent work on digital government competencies, citizen involvement in smart cities, and trust in information systems. Awards include Fellow of the German Informatics Society (GI) and honorary doctorates. His grants include projects on digital middle-tier towns and IT requirements for social security digitization.

Hanna-Riikka Roineمشاهده پروفایل

دانشیار

• Digital Culture
• Narrative Theory
• Game Studies
• +۷ مورد دیگر

Hanna-Riikka Roine is an Associate Professor in Digital Culture at the University of Bergen, affiliated with the Department of Linguistic, Literary and Aesthetic Studies and the Center for Digital Narrative. Her research bridges digital media, narrative theory, and speculative fiction, with a focus on games, imagination, and democratic discourse. Her research interests include: Digital culture and computational media Narrative theory and worldbuilding Game studies, particularly narrative agency in video games Speculative fiction as a tool for imagining futures Transmediality and digital storytelling The role of fiction in democratic imagination Her recent publications explore narrative forms in social media, romance mechanics in games like Dragon Age , and the limits of narrativizing environmental systems. She investigates how digital technologies entangle with human imagination, especially in speculative contexts. Notable research projects include: CO-SPEC (Academy of Finland, 2020–2023): On human-computer entanglement in speculation Imagine, Democracy! (Kone Foundation, 2023–2026): On narrative fiction as a democratic imagination tool in Finland She has co-edited special issues and books on digital environments, games, and speculative fiction, demonstrating leadership in interdisciplinary scholarship. While no formal scientific awards are listed, her funded projects and editorial roles signify academic recognition. She has collaborated with researchers such as Laura Piippo, Esko Suoranta, and Susanna Lindberg, contributing to a vibrant research network. She has also developed innovative pedagogical methods, such as using Twine game jams for assessment in higher education. Her work is situated within a strong digital humanities framework, connecting literary theory with contemporary media and societal challenges.

Paul Ralphمشاهده پروفایل

استاد

• Software Engineering
• Empirical Software Engineering
• Human-Computer Interaction
• +۱۷ مورد دیگر

Dr. Paul Ralph is a Professor in the Faculty of Computer Science at Dalhousie University , where he leads the Dalhousie Software Engineering Lab (DalSEL) . His work bridges software engineering, human-computer interaction, and project management, with a focus on empirical research and social sustainability in software development. Education: PhD in Computer Science, University of British Columbia BSc in Computer Science, Memorial University BComm in Business, Memorial University Dr. Ralph's research centers on the sociotechnical aspects of software engineering , particularly how team dynamics, ethics, and human factors influence software success. He rejects pseudoscientific models like Waterfall and SDLC, and avoids AI/ML/data science, instead emphasizing rigorous qualitative and quantitative human-participant studies. His lab is known for its work on socially sustainable software engineering and evidence standards in computing research. His recent publications reflect a strong trend toward methodological rigor, ethical computing, and human-centered practices . Themes include empirical standards, agile methods, requirements engineering, and the social impact of technology. He publishes in top venues like IEEE TSE and ICSE , and has authored over 80 scholarly works. Scientific Awards and Recognition: Award-winning scientist (multiple unspecified awards) Editor-in-Chief, SIGSOFT Empirical Standards for Software Engineering Research Dr. Ralph is actively involved in mentoring and funding graduate students , particularly through external scholarships like NSERC, Killam, and Banting. He prioritizes applicants from underrepresented groups and emphasizes original, non-AI-generated work. His lab offers strong industry connections, professional development, and support for tenure-track aspirations among postdocs. Labs and Research Groups: Dalhousie Software Engineering Lab (DalSEL) : Focuses on empirical, human-centered software engineering research, with active projects in social sustainability and evidence standards.

• Machine Learning
• Augmented Intelligence
• Data Science
• +۱۲ مورد دیگر

Simon Ruffieux is a Senior Researcher and Lecturer at the Department of Computer Science, University of Fribourg, and a member of the Human-IST Institute. He currently leads the HIP-Initiative (Human-IST x SwissPost Initiative) and coordinates academic projects related to Swiss Post. His academic roles include Lecturer and Senior Assistant , reflecting his active engagement in teaching and research. His research focuses on leveraging advanced technologies to support individuals, particularly those with special needs. Key areas include: Machine Learning and Data Science for urban systems (e.g., bike-sharing optimization) Human-Computer Interaction (HCI), especially gesture recognition and multimodal interfaces Augmented and Virtual Reality applications in rehabilitation and assistance Development of smart glasses for visually impaired users Physiological signal analysis for workload classification The 15 most recent publications reveal a strong trend in applying AI and data science to real-world challenges, particularly in assistive technologies and urban mobility. His work often involves interdisciplinary collaboration, integrating computer science with psychology, rehabilitation, and industrial applications. There is a consistent emphasis on user-centered design and real-world usability. Simon Ruffieux has not been mentioned as receiving specific scientific awards in the provided text. He has advised or collaborated with several researchers, including Nicolas Spycher, Samuel Torche, and Nicolas Ruffieux, on projects related to forecasting, AR, and gesture recognition. While no formal grant details are listed, his leadership of the HIP-Initiative suggests involvement in externally funded academic projects. His work is closely tied to the Human-IST Institute, where he contributes to interdisciplinary research in human-centered computing. He is actively involved in research teams focused on assistive technologies, gesture interaction, and data-driven urban solutions. The Human-IST Institute serves as the primary hub for his collaborative efforts, particularly through the HIP-Initiative with Swiss Post.

Li Chenمشاهده پروفایل

استاد

• Conversational AI
• Explainable AI
• Recommender Systems
• +۷ مورد دیگر

Professor Li Chen is a full Professor and Associate Head (Research) in the Department of Computer Science at Hong Kong Baptist University (HKBU), with an affiliate appointment at the Academy of Wellness and Human Development. She leads the Positive Intelligence Lab , focusing on intelligent technologies for human well-being. Her research spans conversational AI, explainable AI, recommender systems, and human-computer interaction. Education: PhD in Computer Science, Swiss Federal Institute of Technology in Lausanne (EPFL), Switzerland (Nominee for Best PhD Thesis Award) Master in Computer Software and Theory, Peking University, China Bachelor in Computer Science, Peking University, China Her research interests revolve around personalized conversational and explainable AI, with applications in entertainment, education, e-commerce, and mental well-being. She has published over 150 papers in top venues including ACM TOIS, IJHCS, CHI, SIGIR, AAAI, RecSys, and UMAP . Her work has been recognized with awards such as the RecSys Best Student Paper Award (2024), CHI Honourable Mention (2022), and multiple best paper awards at UMAP and UMUAI. The most recent publications reflect a strong trend toward fair, explainable, and user-centric recommender systems , with increasing integration of large language models , mental health applications , and conversational agents . Her research emphasizes user feedback, negative sampling techniques, and evaluation frameworks grounded in real user behavior. Scientific Awards & Recognition: President’s Award for Outstanding Performance in Teaching (Individual), HKBU (2024/25) President’s Award for Outstanding Performance in Research Supervision (2022/23) World’s Top 2% Most-Cited Scientists, Stanford University (2021–2024) ACM Senior Member (2015) RecSys’24 Best Student Paper Award CHI’22 Honourable Mention Award UMAP’20 Best Student Paper Award UMUAI 2018 Best Paper Award THE Awards Asia 2021 Excellence and Innovation in the Arts (Co-I) Professor Chen is actively involved in mentoring PhD and Master’s students such as Wanling Cai and Yuhan Zhao, who have co-authored award-winning papers. She has secured research funding through grants like the HKBU IRCMS Project. Her editorial leadership includes serving as Co-Editor-in-Chief of ACM Transactions on Recommender Systems (TORS) , Associate Editor for ACM TiiS , and Editorial Board Member for UMUAI . She has chaired major conferences including ACM RecSys’23 (General Co-Chair), RecSys’20 (Program Co-Chair), and UMAP’18 (Program Co-Chair). She leads the Positive Intelligence Lab , which conducts interdisciplinary research on AI for well-being. The lab has developed datasets like the Intent Annotation of Recommendation Dialogue (IARD) and focuses on user-centric AI design, mental health chatbots, and personalized recommendation interfaces.

Dave Bennettمشاهده پروفایل

استاد

• Geographic Information Science (GIScience)
• Environmental Decision-Making
• Human-Environment Interactions
• +۱۲ مورد دیگر

Dave Bennett is a Professor in the Department of Geography at the University of Iowa, within the College of Liberal Arts and Sciences. His work bridges geographic information science, environmental policy, and complex systems theory, with a strong emphasis on interdisciplinary research. He is actively involved in teaching and mentoring graduate students, offering courses in GIS, field methods, and environmental applications. Research Interests: His research lies at the intersection of technology, policy, and science, focusing on geographic information science (GIScience) and environmental decision-making. He is particularly interested in human-environment interactions and how complex, nonlinear responses emerge from system interactions. Much of his work is framed within complexity theory and employs agent-based modeling, evolutionary algorithms, and cyberinfrastructure to study land use change, watershed management, and disaster response. Publication Trends: His most recent publications (2010–2016) demonstrate a consistent focus on agent-based modeling, parallel computing, land use dynamics, and socio-environmental systems. These works often integrate high-performance computing and service-oriented architectures to simulate complex spatial processes. Key themes include resilience, opinion diffusion, mobility, and provenance in geosimulation. Scientific Awards: No specific awards or fellowships are mentioned in the provided text. Advising and Grants: Dave Bennett has advised numerous PhD and Master’s students, including current advisees Patrick Bitterman, Haoyi Xiong, Shuang Xu, and James Madden. He has served as principal investigator or senior personnel on multiple major grants from the NSF, USDA, NIH, and NGA, totaling millions of dollars. Key projects include 'People, Water, and Climate,' 'Geoinformatics for Environmental and Energy Modeling and Prediction (GEEMaP),' and 'Understanding Water-Human Dynamics with Intelligent Digital Watersheds.' Labs and Teams: While no specific lab name is mentioned, his research is conducted within multidisciplinary teams and leverages cyberinfrastructure platforms at the University of Iowa. His work often involves collaboration with engineers, ecologists, and social scientists, particularly through NSF-funded interdisciplinary programs.

• Computer Vision
• Machine Learning
• Human-Computer Interaction
• +۳ مورد دیگر

Olga Russakovsky is an Associate Professor in the Computer Science Department at Princeton University. She serves as Associate Director of the Princeton AI Lab and Chair of the Board of Directors at AI4ALL, a nonprofit dedicated to diversity in AI leadership. Her research focuses on computer vision, machine learning, human-computer interaction, and fairness in AI. She specializes in developing AI systems that reason about the visual world, emphasizing fairness, accountability, and transparency. Her work integrates computer vision with ethical AI frameworks, and she is affiliated with Princeton’s Center for Statistics and Machine Learning and Center for Information Technology Policy. Her publications address biases in datasets, explainable AI, and generative models. Her recent research trends include: Bias detection in datasets (e.g., CelebA, ImageNet) Interactive and explainable AI systems Generative models like diffusion and vision-language integration Deepfake detection and AI forensics Conceptual learning and few-shot training Scientific awards: NSF CAREER Award for fairer computer vision systems Co-founder of AI4ALL and Stanford AI4ALL outreach programs She advises students through AI4ALL initiatives and leads the Visual AI Lab, which focuses on robust, inclusive AI development. Her work bridges technical innovation with societal impact, particularly in diversity-focused education.

Oliver Alonzoمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Computing Accessibility
• Digital Accessibility for People with Disabilities
• +۳ مورد دیگر

Oliver Alonzo is an Assistant Professor in the School of Computing at DePaul University. His academic journey includes a Ph.D. in Computing and Information Sciences from the Rochester Institute of Technology, a B.S. in Computer Science from Creighton University with minors in Graphic Design and Musical Theatre. Prior to joining DePaul, he served as a post-doctoral assistant professor at Creighton University and completed internships at Meta (Facebook) and Adobe Research. Dr. Alonzo's research focuses on Human-Computer Interaction and Computing Accessibility, with particular emphasis on creating technologies that improve digital access for people with disabilities, especially those who are Deaf or Hard-of-Hearing (DHH). His work spans several key areas: Design and evaluation of automatic text simplification tools for DHH readers Captioning and visualization of non-speech sounds in multimedia content Accessibility solutions for social media platforms Tools to assist American Sign Language learners Multimedia accessibility in emerging technologies like virtual reality His recent publications demonstrate a consistent focus on developing and evaluating accessibility technologies through rigorous user-centered design with DHH communities. His research has evolved from foundational work on text simplification and sign language interfaces to broader explorations of digital accessibility across multiple platforms and contexts. Dr. Alonzo has received notable recognition for his work, including: CHI 2025 Honorable Mention for research on Deaf and Hard-of-Hearing user experiences with misinformation on social media An NSF CRII grant for a two-year project focused on making videos accessible by design for Deaf, Hard-of-hearing, Blind and Low-Vision viewers As an educator, Dr. Alonzo teaches courses including HCI 440 Introduction to User-Centered Design, HCI 445 User Research Methods, and HCI 511 Accessibility Considerations in HCI. His teaching philosophy emphasizes practical, hands-on learning experiences that connect theoretical concepts to real-world accessibility challenges. Outside academia, Dr. Alonzo is fluent in Spanish, English, and Portuguese, and is learning American Sign Language. He has a background in musical theatre and enjoys black & white photography, which informs his creative approach to accessibility research.

• Digital Health
• Mobile Computing
• Human-Computer Interaction
• +۴ مورد دیگر

Katarzyna Wac is a researcher at the University of Geneva affiliated with the Faculty of Economics and Management and the Information Science Institute . Her work bridges Digital Health , Mobile Computing , and Human-Computer Interaction , focusing on leveraging wearable devices, smartphones, and AI for health and quality of life (QoL) quantification. Research Themes: Digital biomarkers for Alzheimer's and migraines, QoL assessment via ubiquitous computing, peer- and self-reported behavioral data, and QoE of mobile applications. Labs: Leads the mQoL Lab , a platform for interactive, mobile, and wearable-based studies. Her recent publications explore Transformer models for health data analysis, social robots in homecare, and ethical frameworks for digital mental health. She has contributed to standards for proxy-reported QoL measures and personalized drug delivery systems in digital health. The multimodal integration of emotional signals and context-aware QoS/QoE provisioning for m-health services are recurring technical themes. Key collaborations include the MobiHealth project and COPD24 , translating future internet technologies into telemonitoring solutions. Her work spans from foundational studies on mobile cognition to applied ambulatory assessment of affect and health risks.

• Human-Computer Interaction
• Learning Sciences
• Artificial Intelligence in Education
• +۷ مورد دیگر

Hariharan Subramonyam is an Assistant Professor (Research) at Stanford University's Graduate School of Education and Computer Science (by courtesy) . He serves as the Ram and Vijay Shriram Faculty Fellow at the Institute for Human-Centered AI (HAI) and is a core faculty member of Stanford HCI . His research bridges Human-Computer Interaction (HCI) and the Learning Sciences , focusing on augmenting human learning through AI via cognitively informed design practices, co-design with learners/educators, and transformative AI-enabled learning experiences. His work emphasizes ethical AI, responsible design, and human values in technology. He earned a PhD in Information from the University of Michigan under Eytan Adar. Current projects include Script&Shift (layered interfaces for LLM writing), AltCanvas (accessible image editing for BVI users), and CogGen (AI tutoring systems). His teaching includes EDUC 432: Designing Explorable Explanations and CS 448B: Data Visualization . Key Research Areas Cognitively Informed AI Systems Human-AI Collaborative Writing Accessible Generative AI Tools Ethical AI Frameworks Interactive Learning Environments Awards & Grants Best Paper Award (CHI 2025) Honorable Mention Award (CHI 2025) HAI Hoffman Yee Grant (2024) Cover Story in Interactions Magazine (2024) Collaborative Networks Co-organizing CHI 2025 Tools for Thought Workshop Contributor to UIST 2024 Dynamic Abstractions Workshop Advising PhD students across Stanford, Georgia Tech, and Duke Collaborations with institutions including University of Michigan, National University of Singapore, and Technical University Munich

• Machine Learning
• Sentiment Analysis
• Online Learning
• +۹ مورد دیگر

Aamir Anwar is a researcher affiliated with the University of West London , focusing on interdisciplinary applications of artificial intelligence, machine learning, and human-computer interaction. His work bridges technology with education, healthcare, and cybersecurity, as evidenced by his publications on topics like emotion-aware online learning , malware detection in IoT devices , and smart systems for people with disabilities . Research Interests : Machine Learning, Sentiment Analysis, Online Learning, EEG Signal Processing, Smart Systems, Healthcare Informatics. Key Collaborations : Co-authored studies with researchers in cybersecurity, nursing education, and neuromarketing. Publication Trends : Recent articles span 2021–2024, emphasizing AI in education (emotion detection), deep learning for cybersecurity , and health-focused technologies (frailty assessment, seizure prediction).

Jon Barkerمشاهده پروفایل

استاد

• Noise-Robust Speech Processing
• Machine Listening
• Computational Modeling of Human Hearing
• +۴ مورد دیگر

Professor Jon Barker is a faculty member at the University of Sheffield , where he holds a Personal Chair in the School of Computer Science . He leads the Speech and Hearing (SpandH) research group and co-founded the CHiME international workshop series on robust speech recognition. Education : PhD in Computer Science (University of Sheffield, 1999); BA in Electrical and Information Sciences (Cambridge University). Research Focus : His work bridges machine listening and human auditory perception , with key contributions to noise-robust speech recognition , speech intelligibility prediction , and hearing aid signal processing for speech and music. Recent projects include the Clarity Challenges and Cadenza Challenges , large-scale machine learning initiatives to improve accessibility for hearing-impaired users. Publication Trends : Recent articles emphasize machine learning for hearing aid optimization , dysarthric speech recognition , audio-visual integration , and music demixing algorithms . Collaborations span speech processing, psychoacoustics, and biomedical engineering. Scientific Awards : EURASIP Best Paper Award (2009) ISCA Best Paper Award (2008) Grants and Leadership : He has secured major EPSRC grants including EnhanceMusic (2022-2026) and Challenges to Revolutionise Hearing Device Processing (2019-2025). He co-led the TAPAS Marie Curie Training Network (2017-2022) and led projects like AV-COGHEAR (2015-2018) and CHiME (2009-2012). Labs and Teams : Barker collaborates closely with the Speech and Hearing Research Group and contributes to international initiatives like the CHiME Workshop . His lab develops open datasets such as the Clarity Speech Corpus and Audio-Visual Lombard Corpus .