جست‌وجوی استاد و پژوهشگر

• Natural Language Processing
• Computational Linguistics
• Distributional Semantics
• +۵ مورد دیگر

Ana-Sabina Uban is an Associate Professor at the Faculty of Mathematics and Computer Science, University of Bucharest . She earned her Ph.D. in Computer Science in 2020 under the supervision of Professor Liviu Dinu with a thesis on distributional and stylistic aspects of natural language. She teaches and coordinates courses in natural language processing, AI, and machine learning for both computer science and digital humanities students. Education: Ph.D. in Computer Science, University of Bucharest (2020) – Thesis: "Distributional aspects of natural language. Semantic and stylistic dimensions of text" Research Interests: Dr. Uban’s research is strongly interdisciplinary, bridging natural language processing , computational linguistics , psychology , and cognitive science . She explores historical computational linguistics , distributional semantics , and multilingualism , while also investigating explainability in AI models and mental health disorder detection using social media data. Research Trends & Publication Focus: Her recent publications span clinical NLP , mental health detection , historical linguistics , and multilingual cognate identification . A recurring theme is the application of advanced NLP techniques—such as transformer models, contrastive learning, and ensemble classification—to real-world problems in health, literature, and historical language study. Teaching & Student Supervision: Dr. Uban currently teaches and coordinates the following courses: Bio-medical NLP – Master’s level (English) Artificial Intelligence – Bachelor’s level for Mathematics students Practical Introduction to Machine Learning – Master’s level for Digital Humanities students Natural Language Processing 1 & 2 – Master’s labs and projects Contact: auban@fmi.unibuc.ro

Andrew S. Gordonمشاهده پروفایل

عضو هیئت علمی

• Interactive Narrative
• Commonsense Reasoning
• Computational Models of Narrative
• +۶ مورد دیگر

Andrew S. Gordon is a Research Associate Professor of Computer Science at the University of Southern California and Director of Interactive Narrative Research at the Institute for Creative Technologies. His work integrates artificial intelligence, cognitive science, and interactive storytelling to create systems that automatically interpret and generate narrative structures, with a special focus on commonsense reasoning and abductive inference. Education Ph.D. in Computer Science, Northwestern University, 1999 Research Interests Gordon’s research converges on computational narrative intelligence . He develops formal models of commonsense psychology that enable machines to reason about human intentions, beliefs, and emotions. His group designs interactive narrative systems for training and education, builds large-scale story corpora, and pioneers abductive reasoning techniques that combine symbolic logic and statistical learning to interpret temporal data. Recent work explores how large language models can be guided to co-create interactive fiction and how vision–language models can be benchmarked for causal understanding. Publication Trends Across more than two decades, his publications reveal consistent themes: (1) foundational theories of commonsense psychology and strategy representation, (2) narrative technologies that blend AI planning with human creativity, and (3) practical training simulations for defense and education. The 2024-2025 papers highlight a pivot toward evaluating and steering large language models for narrative tasks, while earlier work established abductive reasoning frameworks such as “Etcetera Abduction.” Awards & Honors Best Paper Award, System Lifecycle and Technologies Track, Simulation Interoperability Standards Organization (SIW 2021) Advising & Grants He has successfully mentored three PhD students—Reid Swanson (2010), Christopher Wienberg (2017), and Melissa Roemmele (2018)—whose dissertations span computational narrative, commonsense reasoning, and interactive fiction. His research has been continuously supported by agencies including the U.S. Army, DARPA, and NSF for projects on virtual training environments, narrative-centered learning, and large-scale commonsense knowledge acquisition. Labs & Teams Gordon directs the Interactive Narrative Research Group at USC’s Institute for Creative Technologies, where interdisciplinary teams of computer scientists, cognitive psychologists, and interactive media designers collaborate on systems such as the Rapid Integration & Development Environment (RIDE) for embodied conversational agents and story-driven training simulations.

Haoqi Zhangمشاهده پروفایل

دانشیار

• Social Computing
• Crowdsourcing
• Human-Computer Interaction
• +۷ مورد دیگر

Haoqi Zhang is an Associate Professor at Northwestern University in Computer Science and Design, with offices at 2133 Sheridan Rd., Evanston, IL. He directs the Design, Technology, and Research (DTR) program and co-directs the Delta Lab with interdisciplinary collaborators. His work bridges Social Computing , Human-Computer Interaction , Artificial Intelligence , and Learning Science to create socio-technical systems advancing human values. Education: PhD in Computer Science from Harvard University (2012) BA in Computer Science and Economics from Harvard University (2007) Research interests focus on Computational Ecosystems that interweave community processes, social structures, and intelligent systems to promote values like self-direction , metacognition , and belonging . His projects include agile research studios for training researchers, opportunistic collective experiences for remote collaboration, and flexible coordination in crowdsourcing systems. Recent publications examine metacognitive learning in CS education, dialectical activities in HCI, and trust dynamics in crowdfunding. Supported by National Science Foundation grants in Cyber-Human Systems and Cyberlearning, plus Microsoft FUSE Labs and Northwestern institutional awards. Awards include Microsoft FUSE Labs Research Award Northwestern Office of the Provost Award for Digital Learning Notable Paper Award at HCOMP 2013 Best Paper Honorable Mention at CHI 2018 Mentors PhD students Kapil Garg and Gobi Dasu , while fostering over 100 students through DTR. Runs a Junior Faculty Support Group since 2022, providing emotional and professional support for early-career academics.

• Cognitive Neuroscience
• Video Game Effects on Cognition
• Visual Perception
• +۵ مورد دیگر

Daphné Bavelier is a prominent Professor in the Department of Psychology at the University of Geneva, Switzerland, with an extensive research portfolio spanning cognitive neuroscience, video game effects on cognition, and neuroplasticity. Her work has established her as a leading authority on how digital experiences, particularly video gaming, reshape brain function and cognitive abilities. Professor Bavelier's primary research interests focus on understanding how action video game play enhances various cognitive functions including attentional control, perceptual learning, and task-switching abilities. Her groundbreaking work demonstrates that video games are not merely entertainment but powerful tools for cognitive enhancement, with implications for education, rehabilitation, and cognitive training across the lifespan. She investigates how gaming experience alters neural processing in visual attention, spatial cognition, and multitasking abilities, challenging traditional assumptions about screen time effects. Analysis of her recent publications reveals a clear trajectory toward translational research, where fundamental discoveries about gaming's cognitive benefits are being applied to clinical populations. Her work now spans amblyopia treatment through video game therapy, anxiety reduction in adolescents, and cognitive interventions for autism spectrum disorder. Notably, her research increasingly examines contextual factors rather than screen time alone, emphasizing that how technology is used matters more than mere exposure duration. Professor Bavelier has supervised 42 academic works throughout her career, mentoring the next generation of cognitive scientists. Her research has garnered significant attention, with many publications accumulating thousands of views and downloads, reflecting the broad impact of her work across multiple disciplines including psychology, neuroscience, education, and clinical practice.

Jie Luمشاهده پروفایل

استاد

• Artificial intelligence
• Machine learning
• Computational intelligence
• +۴ مورد دیگر

Distinguished Professor Jie Lu AO is an internationally renowned scientist in computational intelligence at the University of Technology Sydney, where she serves as Associate Dean (Research Excellence) in the Faculty of Engineering and Information Technology and Director of the Australian Artificial Intelligence Institute (AAII), the largest AI hub in Australia with 35 researchers and 230 PhD students. She has been a Professor at UTS since 2007 after serving as Associate Professor from 2004-2006. Professor Lu earned her PhD from Curtin University, Perth, Australia. Her research focuses on computational intelligence with significant contributions to fuzzy transfer learning, concept drift, data-driven decision support systems, and recommender systems. She has developed machine learning models, intelligent recommender systems, and AI-driven decision support systems through collaborations with industry partners including Optus, Sydney Trains, Domain Holdings Australia Ltd, and Workforce Health Assessors Transport NSW. Her recent publications demonstrate a strong focus on addressing challenges in non-stationary environments, out-of-distribution detection, multi-stream concept drift, and applying AI to healthcare applications such as stroke risk prediction and cancer risk assessment. She has pioneered approaches combining traditional AI techniques with large language models for more robust and explainable systems, particularly in legal case recommendation and women's health applications. Officer of the Order of Australia (AO) IEEE Fellow, IFSA Fellow, Australian Computer Society Fellow Australian Laureate Fellow in AI and Industry Laureate Fellow in AI-for-Health UTS Chancellor's Research Medal for Research Excellence (2019) IEEE Transactions on Fuzzy Systems Outstanding Paper award (2019, 2022) Australian Most Innovative Engineer award (2019) NeurIPS 2022 Paper Award Australasian AI Distinguished Research Contribution Award (2022) Australian NSW Premier Prize on Excellence in Engineering (2023) Professor Lu has supervised 60 PhD students to graduation and serves as Editor-In-Chief for Knowledge-Based Systems journal. She has secured 47 ARC grants and over 110 industry projects since 2017, with funding from ARC Discovery projects, ARC Laureate Fellowships, and industry partners. Her leadership has established UTS as a leading center for AI research in Australia, with significant impact across multiple sectors including transportation, telecommunications, healthcare, and education. As Director of the Australian Artificial Intelligence Institute, Professor Lu has built a thriving research ecosystem that bridges academic research with practical industry applications. Her work on concept drift and transfer learning addresses fundamental challenges in adapting machine learning models to changing environments, with direct applications to real-world problems requiring continuous learning and adaptation.

Tuba Bakiciمشاهده پروفایل

دانشیار

• Human-Computer Interaction
• Human-AI Interaction
• Technology Innovation
• +۵ مورد دیگر

Tuba Bakici, Ph.D., serves as an Associate Professor of Information Systems at EDHEC Business School within the Strategy, Entrepreneurship & Operations faculty. Her extensive research portfolio spans over 15 years of contributions to top-tier journals including IEEE Transactions on Engineering Management, Information Technology & People, and International Journal of Information Management. Funded by prestigious bodies like the Agence Nationale de la Recherche (ANR) and European Commission, her work bridges theoretical frameworks with practical applications in organizational technology adoption and digital transformation. Dr. Bakici's research centers on Human-Computer Interaction, Human-AI Interaction, Technology Innovation, and Sustainable IT, with recent emphasis on sustainable digital consumption and techno-stress phenomena. Her investigations into digital frugality, techno-isolation, and enterprise social media reveal critical insights about psychological impacts of technology in workplaces. She systematically examines how emerging technologies like blockchain and big data affect project management competencies, organizational behavior, and sustainability outcomes, particularly through multi-country studies that highlight cross-cultural dimensions of digital adoption. Analysis of her 2019-2025 publications shows a decisive shift toward integrating sustainability with digital innovation, where human-AI interaction and psychological consequences of technology use dominate her current scholarship. Her work consistently addresses organizational pain points in technology implementation, especially regarding remote work challenges, resource efficiency, and the social dynamics of enterprise platforms. This evolution reflects both academic rigor and practical relevance in navigating the complex interplay between technological advancement and human factors. While specific awards aren't documented in available materials, Dr. Bakici's sustained success in securing competitive ANR and European Commission grants demonstrates significant peer recognition. Her collaborative projects involve interdisciplinary teams across multiple countries, indicating strong international research networks. Though student advising details aren't specified, her active publication record and project leadership suggest ongoing mentorship of graduate researchers in information systems and digital innovation fields.

Michael Crimminsمشاهده پروفایل

استاد

• Climate Science
• Drought Monitoring
• Wildfire Risk Assessment
• +۲ مورد دیگر

Michael Crimmins is a Professor and Climate Science Extension Specialist at the Department of Environmental Science, University of Arizona. He bridges climate science with practical applications for resource managers in Arizona, focusing on drought preparedness, wildfire risk, and water resource management. His work spans rangelands, forests, and policy domains. His research interests include climate change impacts , drought monitoring , and wildfire risk assessment , with a focus on developing metrics like 'Burn Period' for fire risk tracking and integrating citizen science data for regional climate services. He emphasizes socio-ecological resilience and practical tools for ranchers and policymakers. His recent publications highlight trends in fire-climate dynamics monsoon flood risk data systems rancher drought adaptation soil moisture drought controls climate gamification for public engagement transdisciplinary wildfire decision support . These works reflect his commitment to applied climate science. As an extension specialist, he collaborates with Arizona Cooperative Extension, contributes to drought policy via the Arizona Governor’s Drought Task Force, and develops educational resources like climate summaries and participatory monitoring frameworks.

André N. Meyerمشاهده پروفایل

پژوهشگر

• Software Engineering
• Human-Computer Interaction
• Developer Productivity
• +۳ مورد دیگر

André N. Meyer is a Senior Researcher at the University of Zurich , affiliated with the Department of Informatics under the Faculty of Business, Economics and Informatics. He leads research in Human Aspects of Software Engineering , focusing on developer productivity , workplace wellbeing , and hybrid work environments through persuasive technologies like self-monitoring and goal-setting. PhD in Informatics (University of Zurich, 2019) Internships at Microsoft Research (Redmond, US) Visiting Researcher at University of British Columbia (Vancouver, Canada) His research spans developer productivity , hybrid team dynamics , and AI in medical diagnostics . Recent work includes FlowLabs (hybrid interruptibility tools), PersonalAnalytics (self-reflection systems), and FlowTeams (collaboration scheduling). Key article trends include task prioritization , interruptibility detection , and AI-driven medical imaging . His work on FlowLight reduced interruptions by 46% in large-scale studies. Scientific Awards CHI’17 Honorable Mention Award He supervises student projects at UZH, emphasizing bi-weekly meetings and asynchronous feedback. Grants include DSI Seed Funding, DSI Infrastructure Grants, and NRP funding for AI and hybrid work studies.

• Human-Computer Interaction
• Usability Research
• Eye Tracking
• +۲ مورد دیگر

Kasper Hornbæk is a Professor at the Department of Computer Science, University of Copenhagen, specializing in Human-Centred Computing. He conducts research in human-computer interaction (HCI), usability, eye tracking, visualization, and software engineering. Primary Fields: Human-Computer Interaction, Usability Research, Eye Tracking, Visualization, Software Engineering Recent Collaborations: International (country/territory-level) partnerships in HCI and AI Research Outputs: 228 publications focusing on multimodal interaction, VR, and causal modeling His work explores audio-tactile integration, theoretical frameworks in HCI, and principles for user interface design through empirical studies and meta-analyses. Recent projects include heartbeat resonance interfaces and critiques of experimental methodology. Contact: kash@di.ku.dk | Research Website

• Artificial Intelligence
• Autonomous Agent Systems
• Natural Language Processing
• +۶ مورد دیگر

Dirk K.J. Heylen serves as Full Professor at the Digital Society Institute within the University of Twente, holding a dual appointment in the Human Media Interaction department. His academic profile demonstrates extensive engagement in artificial intelligence research with particular focus on human-centered applications. Research interests span Artificial Intelligence, Autonomous Agent Systems, Natural Language Processing , and Knowledge Representation , with significant applications in healthcare, well-being, and social robotics. His work bridges technical AI development with societal context considerations, particularly examining human-AI interaction patterns in daily life scenarios. Recent publications reveal strong emphasis on conversational agents, virtual human interaction, and predictive health technologies. Notable scientific recognition includes the Best Student Paper award at the 22nd ACM International Conference on Multimodal Interaction (2018). His research activities demonstrate consistent output across conferences, journals, and datasets, with particular growth in healthcare applications since 2020. Professional activities include editorial work for major conferences (ICMI 2020), organization of specialized events (Narrative Matters 2018), and hosting academic visitors. His supervised work encompasses 22 research projects and multiple datasets supporting human-AI interaction studies.

• Geospatial Big Data Analytics
• GeoHealth
• GeoAI (Geospatial Artificial Intelligence)
• +۷ مورد دیگر

Tao Hu is an Assistant Professor in the Department of Geography at Oklahoma State University (OSU), serving since 2021. He holds a PhD (2015) and BS (2009) in Geography from Wuhan University, China. Prior to OSU, he worked as a Postdoctoral Research Fellow at Harvard University's Center for Geographic Analysis (2019–2021) and Kent State University (2016–2019). Research Focus: Leverages geospatial big data (remote sensing, social media, smartphone mobility) and GeoAI models to address health disparities, environmental health, and urban sustainability challenges. Key Contributions: Over 60 peer-reviewed articles, including 5 ESI Highly Cited Papers (top 1%). Research supported by NSF, USDA, and ESIP. His work spans FAIR workflow systems, disaster public perception analysis (e.g., Ohio train derailment), heat vulnerability modeling, and healthcare accessibility via mobility data. He emphasizes reproducible GIScience and societal impact through actionable insights. Teaching includes courses on GIS in public health, health geography, and programming for geospatial applications. His lab integrates geospatial AI with health equity, environmental justice, and smart city initiatives.

Hoon Seok Choiمشاهده پروفایل

استادیار

• Digital Marketing
• Online Review Dynamics
• Big Data Analytics
• +۴ مورد دیگر

Hoon Seok Choi is an Assistant Professor in the Department of Information Technology and Decision Sciences at the University of North Texas College of Business. His research focuses on digital ecosystems, consumer behavior in online platforms, and cybersecurity risks in technology adoption. He has contributed to understanding online review dynamics, big data analytics adoption, and pricing strategies in digital markets. Dr. Choi’s work spans multiple disciplines including information systems, marketing analytics, and behavioral economics. His research examines how trust cues influence online review helpfulness, the role of extrinsic factors in predicting review quality, and the interplay between user skills and technology adoption in mobile payment systems. His recent publications highlight trends in digital product pricing strategies (e.g., freemium models and SaaS pricing), cybersecurity behaviors related to public Wi-Fi use, and the psychological drivers behind video gaming addiction. These studies often utilize big data methodologies and experimental approaches. Despite his active research output, no scientific awards or grants are explicitly mentioned in the provided materials. His advising record remains undisclosed, and there is no mention of specific labs or collaborative teams associated with his work.

Kuanchin Chenمشاهده پروفایل

استاد

• Artificial Intelligence
• Business Analytics
• Data Mining
• +۷ مورد دیگر

Kuanchin (KC) Chen is the Upjohn Chair of Business Administration and Professor of Business Information Systems at the Haworth College of Business, Western Michigan University, where he also directs the Center for Business Analytics. His expertise spans artificial intelligence, business analytics, electronic business, and privacy/security in digital environments. Dr. Chen earned a D.B.A. in Information Systems from Cleveland State University, an M.S. from the University of Colorado, and a B.B.A. from Tunghai University. He is an award-winning researcher and educator, recognized for contributions to trust in technology, data-driven decision-making, and interdisciplinary applications of AI. Research interests include AI ethics, social media analytics, consumer trust dynamics, and human-AI collaboration. He has published extensively in top journals and serves in editorial leadership roles. Notable accolades include the MAC Outstanding Faculty Award for Student Success and multiple Excellence in Research awards. Dr. Chen has delivered over 70 academic and industry talks globally, focusing on bridging technical and behavioral aspects of technology adoption. Education: D.B.A., Information Systems, Cleveland State University M.S., Information Systems, University of Colorado B.B.A., Tunghai University Awards: Upjohn Chair of Business Administration (2025) John W. Snyder Faculty Fellow (2017–present) U.S. Fulbright Specialist (2019–2024) His work emphasizes practical applications of analytics and AI, particularly in workforce upskilling through human-AI symbiosis. Active in editorial roles, he co-edits academic book series and journals. Dr. Chen’s teaching portfolio includes AI, data mining, project management, and software development. Research and advisory work focuses on trust, privacy, and digital transformation across sectors. The Center for Business Analytics under his leadership advances data-driven strategies for organizations.

• Natural Language Processing
• Information Extraction
• Social Media Analysis
• +۴ مورد دیگر

Dr. Mark Greenwood is a Research Associate at the School of Computer Science, University of Sheffield. His work focuses on Natural Language Processing (NLP), Information Extraction, and Semantic Technologies. He has contributed to projects like the GATE framework, developing tools for text processing and social media analysis. His research addresses real-time semantic annotation, online abuse detection in political discourse, and healthcare data mining. Notable collaborations include work with the National Archives and medical institutions to improve text analysis in clinical records. Greenwood has authored over 30 peer-reviewed publications, with recent focuses on social media analytics and genomic data integration. His expertise spans dependency parsing, temporal expression extraction, and cross-media knowledge systems. Education details are not explicitly stated, but his academic trajectory includes significant contributions to computational linguistics and NLP since the early 2000s. Research interests are anchored in practical NLP applications such as question-answering systems, genic interaction extraction, and media influence quantification. He has led teams on EU-funded projects and advised on large-scale semantic search initiatives like Khresmoi. Current work emphasizes partisanship analysis in digital spaces and automated text pattern recognition.

Nicolas Louvetonمشاهده پروفایل

دانشیار

• Human-Computer Interaction
• Cognitive Ergonomics
• Virtual Reality
• +۴ مورد دیگر

Nicolas Louveton is an Associate Professor at the University of Poitiers, affiliated with the Center for Research on Cognition and Learning (CeRCA) within the School of Humanities and Social Sciences. His work bridges cognitive science and practical interface design across automotive, cybersecurity, and industrial contexts. His research focuses on Human-Computer Interaction , Cognitive Ergonomics , and Virtual Reality , with specific expertise in visual attention, multitasking performance, and driver behavior. Current projects include the RESISTECC initiative for cyber crisis management training, industrial VR maintenance scenarios (INTEROPS project), and autonomous vehicle trust studies (CMI project). Louveton's recent publications reveal a strong trend toward applied VR solutions for high-stakes environments, particularly in cybersecurity training effectiveness and driver-AI interaction. His work consistently applies cognitive ergonomics principles to measure mental workload, situational awareness, and usability in complex systems. As an educator, he leads the UX/UI Ergonomics Master's program and teaches courses on interface usability, visual perception, and UX research methodology. He also serves as Carnot Cognition correspondent for CeRCA laboratory. Supervises PhD candidates Marine Desvergnes and Deslande Liboutchi Pepe Formerly co-supervised Clarisse Lawson-Guidigbe (now Head of Web Editorial) Member of CNU 16 (Psychology and Ergonomics) 2019-2023 Co-head of Digital Interactive Games and Media Master's program 2018-2022