جست‌وجوی استاد و پژوهشگر

• Human-Computer Interaction (HCI)
• Geoinformatics
• Ubiquitous Computing (Ubicomp)
• +۷ مورد دیگر

Johannes Schöning is a Professor of Human-Computer Interaction (HCI) at the University of St. Gallen and leads the Ubiquitous Media Technology Lab . His research focuses on developing user interfaces that empower individuals and communities through data-driven decision-making, with interdisciplinary applications in geographic information science, public health, medical contexts, and extreme environments like space missions. He emphasizes methodological rigor from AI, computer graphics, and cognitive psychology. Organizes AlpCHI 2026 Chair of ACM Eugene Lawler Award Committee Editorial Board, AI Perspectives (Springer Nature) Research Trends : His publications from 2025–2024 reveal a focus on Mixed Reality (autoethnography, weight perception), Accessibility (visual impairment support), Environmental HCI (CO2 eco-feedback), and Geospatial Technologies (navigation externalities, map analytics). Interdisciplinary work appears in journals like Nature and PLOS ONE . Scientific Recognition : ACM Distinguished Member Best Paper & Accessibility Awards (Interact 2019, MobileHCI 2015) Junior Fellow, Gesellschaft für Informatik (2013) Academic Service : Active in conference leadership (SIGCHI Switzerland Chair 2021–2023, ISS 2016 Program Chair) and reviewing for top venues including ACM CHI , Ubicomp , and IEEE VR . Regular reviewer for European science foundations and DFG/BMBF proposals.

George C Tsengمشاهده پروفایل

استاد

• Genomics
• Bioinformatics
• Statistical Learning
• +۹ مورد دیگر

Dr. George C Tseng serves as Professor and Vice Chair for Research in the Department of Biostatistics at the University of Pittsburgh School of Public Health, with secondary appointments in Human Genetics and Computational and Systems Biology. His educational background includes a BS (1997) and MS (1999) in Mathematics from National Taiwan University and an ScD (2003) in Biostatistics from Harvard School of Public Health. Dr. Tseng's research focuses on developing statistical methodologies for genomic and bioinformatic applications to advance precision medicine. His work spans multiple high-impact areas including multi-omics data integration, machine learning for high-dimensional data, cluster analysis for disease subtyping, and statistical methods for experimental design in omics studies. His approach emphasizes close collaboration with biological and clinical researchers to ensure methodological relevance to real-world problems. His publication record demonstrates consistent contributions to top statistical and bioinformatics journals, with recent work focusing on congruence analysis between animal models and humans, outcome-guided clustering methods, and high-dimensional causal mediation analysis. Elected Fellow, American Statistical Association (2017) Statistician of the Year, ASA Pittsburgh Chapter (2017) Provost's Award for Excellence in PhD Mentoring, University of Pittsburgh (2019) Clinical Research Scholar (K12) Award, NIH (2007-2009) Elected Member, International Statistical Institute (2012) Dr. Tseng has successfully mentored over 25 PhD students who have secured positions in academia, industry, and government agencies. His laboratory has maintained continuous NIH funding as principal investigator since 2012, including current grants R01CA285337 (2025-2030) and R01LM014142 (2023-2026). The Tseng Lab operates as a collaborative research environment focused on translating statistical innovations into practical solutions for biological and medical challenges, with strong connections to multiple research centers and clinical departments at the University of Pittsburgh.

• Control Technology
• Distributed Optimization
• Machine Learning
• +۴ مورد دیگر

Mikael Johansson is a Professor at Kungliga Tekniska Högskolan (KTH), specializing in Control Technology . He teaches and coordinates courses such as Distributed Optimization (FEL3311) and various advanced-level degree projects in computer science, electrical engineering, and systems engineering. His research spans Control Systems , Machine Learning , and Optimization , with a focus on asynchronous algorithms, federated learning, and applications in energy systems and construction. His work includes 15 recent publications on topics like neural networks, distributed optimization, and battery technology. Notable areas of contribution are in asynchronous learning, federated learning with privacy constraints, and quasi-Newton methods for optimization. His research bridges theoretical advancements with practical applications in urban design, healthcare, and autonomous systems.

• Spatial and Temporal Representation in Humanities
• Geospatial Data Modeling
• Digital Humanities
• +۷ مورد دیگر

Professor Leif Isaksen is a leading scholar in Digital Humanities and Ancient History at the University of Exeter, holding a chair in the Department of Classics, Ancient History, Religion and Theology. He also serves as Theme Lead for Humanities, Heritage and the Creative Industries at the Institute for Data Science and Artificial Intelligence (IDSAI). With a background in archaeology and a focus on Spatial-temporal representation in humanities Intelligent systems for historical data Digital skills development in arts and humanities , his work bridges classical scholarship and computational innovation. His research includes Pelagios Network projects like Recogito and Peripleo , which revolutionized semantic annotation and geospatial analysis of ancient texts. He directed the Cluny Hill Dig and co-founded initiatives like Hot Source! and DISKAH to democratize digital humanities skills. Key professional roles include: Executive Board Chair of ADHO (2019-2021) Co-Director of Web Science CDT at Southampton Active leadership in CAA, EADH, and ISHMap Scientific honors include fellowships at the Society of Antiquaries of Scotland and former affiliations with the Alan Turing Institute and Society of Antiquaries of London . His work aligns with UN Sustainable Development Goals 9: Industry, Innovation and Infrastructure and 4: Quality Education .

• Computational Social Science
• Conversational AI
• Discourse and Pragmatics
• +۴ مورد دیگر

Maarten Sap is an Assistant Professor at Carnegie Mellon University's Language Technologies Institute with a courtesy appointment in the Human-Computer Interaction Institute. He also holds a part-time research scientist position at the Allen Institute for AI (AI2) as an AI safety lead. Current affiliations: CMU (2022–present), AI2 (2022–present) Prior: Postdoctoral Researcher at AI2 (2021–2022), Research Intern at AI2 (2018–2019) and Microsoft (2019) His research focuses on enhancing AI systems with social intelligence and addressing social biases in language technology. Key themes include: Ethical AI and Human-Centric Design Narrative Dynamics and Social Context Analysis AI Agents and Social Intelligence Toxic Language Detection and Cultural Bias Mitigation Recent publications examine: AI safety frameworks like HAICOSYSTEM Clinical reasoning alignment (ALFA) Multilingual moderation (PolyGuard) Cultural sensitivity in non-verbal AI (Mind the Gesture) Personality shaping in LLMs (BIG5-CHAT) Scientific Recognition: 2025 Okawa Research Grant Best Paper Runner Up - NAACL 2025 Outstanding Paper - EMNLP 2023 Best Paper - FAccT 2023 Best Paper - WeCNLP 2020 He advises a diverse group of PhD students across CMU and MIT, and has served on multiple program committees including ACL, EMNLP, and FAccT. His work appears in top venues like Nature Machine Intelligence, PNAS, and ACL.

Natalia Díaz Rodríguezمشاهده پروفایل

استادیار

• Artificial Intelligence
• Deep Learning
• Reinforcement Learning
• +۶ مورد دیگر

Natalia Díaz Rodríguez is an Assistant Professor of Artificial Intelligence at ENSTA ParisTech, where she works in the Computer Science and Systems Engineering department within the Autonomous Systems and Robotics Lab (U2IS). She is also affiliated with the INRIA Flowers team, focusing on developmental robotics. Her research spans deep learning, reinforcement learning, continual learning, and symbolic AI, with applications in explainable AI, computer vision, and robotics for social good. Her academic background includes a double PhD in Artificial Intelligence from Abo Akademi University and the University of Granada, alongside MSc degrees in Soft Computing and Computer Engineering from the University of Granada. She contributes to interdisciplinary AI, particularly in robotics, ethics, and healthcare applications, and co-organizes workshops on continual learning. Double PhD in Artificial Intelligence (2015), Abo Akademi University and University of Granada Doctoral diploma on Innovation and Entrepreneurship (2017), EIT Digital MSc in Soft Computing and Intelligent Systems (2012), University of Granada MSc in Computer Engineering (2010), University of Granada Her recent publications focus on trustworthy AI, including bias identification, counterfactual explanations, and continual learning strategies, reflecting her commitment to ethical and robust AI systems. She also explores AI applications in structural engineering, climate visualization, and financial risk assessment, emphasizing practical deployment and interpretability.

Desmond Elliottمشاهده پروفایل

دانشیار

• Vision-Language Models
• Multimodal Machine Learning
• Natural Language Processing
• +۵ مورد دیگر

Desmond Elliott is an Associate Professor and Villum Young Investigator at the Department of Computer Science, University of Copenhagen. His research focuses on vision-language models, multilingual and multimodal processing, with particular emphasis on tokenization-free language modeling approaches. He leads a research group actively working on pixel language models and cross-lingual multimodal understanding. University of Copenhagen, Department of Computer Science Villum Young Investigator Associate Editor for JAIR (2025-2028) Senior Area Chair for ACL 2025 Elliott's research spans vision-language integration, multilingual NLP, and multimodal machine learning. His work explores how language models can operate directly on visual pixels without traditional tokenization, enabling more seamless integration of vision and language processing. He investigates compositional generalization in multimodal systems, retrieval-augmented image captioning, and cross-lingual transfer in vision-language tasks. His group develops methods for low-resource language processing and creates benchmarks for evaluating multimodal systems across diverse cultural contexts. His recent publications demonstrate strong trends in pixel-based language modeling, synthetic dataset generation through retrieval augmentation, and multilingual vision-language processing. The work spans theoretical advances in model architectures and practical applications in areas like medical text analysis, food culture understanding, and social media content moderation. His research often bridges computer vision and natural language processing with a focus on making these technologies accessible across diverse languages and cultures. Best Paper Honorable Mention at CVPR Visual Concepts Workshop 2025 Best Long Paper Award at EMNLP 2021 Area Chair Favourite paper at COLING 2018 Elliott actively supervises student projects in BSc and MSc programs related to his research interests. His research has received substantial funding from Google (2024-2025), Facebook (2022-2024), Villum Foundation (2021-2026), Novo Nordisk Foundation (2019-2024), and European Union (2023-2026). He regularly recruits postdocs for projects including the Danish Foundation Models project and the Responsible AI for the People Project. His group holds regular meetings on Tuesdays from 13:00-14:00 in IF G.03, with an active mailing list for announcements. The research environment appears collaborative, with frequent co-authorship across institutions and regular participation in major NLP and computer vision conferences.

Ulrik Brandesمشاهده پروفایل

استاد

• Social Network Analysis
• Graph Theory
• Network Science
• +۳ مورد دیگر

Ulrik Brandes serves as Full Professor and Head of the Department of Humanities, Social and Political Sciences at ETH Zurich, holding the Professorship for Social Networks. He actively teaches courses including Network Analysis and Applied Network Science: Sports Networks for Fall semester 2025, with office location at WEP J 14, Weinbergstr. 109, Zurich. His research spans Social Network Analysis, Graph Theory, and Network Science, with significant applications in sociology, sports analytics (particularly soccer and Australian Football League), and archaeological networks. As a longstanding member of the International Network for Social Network Analysis (since 2001) and the Academy of Sociology (since 2017), he bridges theoretical graph algorithms with practical interdisciplinary applications, recently expanding into sports analytics through the Football Scouting Association (2023). Analysis of his recent publications reveals strong thematic continuity in network centrality, temporal dynamics, and robustness, with increasing application diversity across sports analytics, archaeological trade networks, and decentralized social media platforms. His work consistently emphasizes efficient computational methods for real-world network problems. Honors: Simmel Award (2024) Prof. Brandes maintains active research leadership through departmental oversight and course development, though specific grant details and student advisement records are not publicly documented in available sources. His departmental role indicates substantial administrative responsibilities alongside research and teaching commitments.

• Criminology
• Policy and administration
• Public health
• +۸ مورد دیگر

Kate Bowers is a Professor of Security and Crime Science and Head of Department at University College London's Department of Security and Crime Science. She is also Director of the Jill Dando Institute of Security and Crime Science, with over 30 years of experience in crime science research. Education: Doctor of Philosophy, University of Liverpool (1999) Master of Arts, University of Liverpool (1994) Bachelor of Science, University of Durham (1993) Kate's research focuses on quantitative methods and data analytics in crime analysis and prevention, with special interests in predictive policing, big data approaches, evidence-based crime prevention, and innovative data utilization. Her work explores spatial, temporal and spatio-temporal crime patterns, crime radiation theory, and the relationships between crime and environmental context. Her research has been funded by organizations including the UK Government, US Department of Justice, Police, and UK research councils (EPSRC, ESRC, AHRC). She has contributed to three world-leading REF case studies and served as Editor-in-Chief of the Crime Science Journal. Teaching Contributions: Programme Convener for MSc in Crime Science (8 years) Co-developed many MSc modules including Preventing Crimes, Quantitative Methods and Crime Mapping, Spatial Analysis Involved in curriculum development and internal quality assurance External examiner and advisor at University of Leicester and Abertay University

Sible Andringaمشاهده پروفایل

استاد

• Second Language Acquisition
• Bilingualism
• Language Pedagogy
• +۵ مورد دیگر

Sible Andringa is Professor of Second Language Pedagogy at the University of Amsterdam's Faculty of Humanities, officially inaugurated on June 16, 2023. Dr. Andringa serves as Academic Director of the Institute for Dutch Language Education (INTT), Coordinator of the Language Learning, Literacy and Multilingualism research group, and Coordinator of the Master's program in Dutch as a Second Language and Multilingualism. Dr. Andringa's research focuses on second language acquisition and bilingualism, specifically investigating the added value of explicit instruction, how input distribution affects language learning outcomes, and the role of awareness in language learning trajectories. Key ongoing projects include the Meta-LLL project examining how literacy shapes language learning, the SLA4All initiative for reproducing SLA research with non-academic samples, and the OASIS project creating accessible research summaries for practitioners. Previously, Dr. Andringa led Project MIND studying bilingual daycare effects and contributed to the Stilis project on listening proficiency. As General Editor of the Dutch Journal of Applied Linguistics (DuJAL), Dr. Andringa promotes open science principles in language research. Recent publications demonstrate a focus on addressing sampling biases in SLA research, open access publishing ethics, and practical applications of language acquisition research for educational settings. Academic Director, Institute for Dutch Language Education (INTT) Coordinator, Language Learning, Literacy and Multilingualism research group Coordinator, Master's program Dutch as a Second Language and Multilingualism General Editor, Dutch Journal of Applied Linguistics (DuJAL) Member, Mastery Team for Modern Foreign Languages Member, OASIS project team Member, IRIS database advisory group Dr. Andringa supervises PhD candidates including Kyra Hanekamp and Darlene Keydeniers, particularly in research related to bilingual daycare environments and language development. The research program has received funding from the Dutch ministry of Social Affairs for Project MIND and continues to secure support for ongoing projects examining language learning mechanisms. Dr. Andringa leads the Language Learning, Literacy, and Multilingualism research group which investigates language and literacy acquisition across the lifespan, with emphasis on how language skills are learned, maintained, and used in educational contexts. The group meets weekly to discuss projects, plans, funding opportunities, and research topics while promoting collaboration, methodological innovation, and open science principles.

Katie Headrick Taylorمشاهده پروفایل

دانشیار

• Digital Literacies
• Equity Studies
• Historical & Philosophical Foundations of Education
• +۳ مورد دیگر

Katie Headrick Taylor is an Associate Professor at the University of Washington College of Education , Department of Learning Sciences & Human Development . Her work focuses on reimagining public education through digitally mediated, intergenerational learning initiatives that prioritize equity and collaboration across diverse communities. Research Interests: Digital Literacies Equity Studies Learning Sciences & Human Development Qualitative Research Methods Technology in Teaching and Learning Her recent publications explore themes such as locative literacies , community technology mapping , and equity-driven STEM collaboration , emphasizing mobile and geospatial technologies. Theoretical frameworks center race, class, culture, gender, and place in learning processes.

Rachel Miduraمشاهده پروفایل

استادیار

• Digital history
• Early modern Europe
• History of information
• +۹ مورد دیگر

Rachel Midura is an Assistant Professor of Digital and Early Modern European History in the Department of History at Virginia Tech's College of Liberal Arts and Human Sciences. Her research focuses on the intersection of digital methodologies and early modern European history, particularly examining how communication networks shaped political power and intelligence gathering during the sixteenth and seventeenth centuries. Education: PhD in History from Stanford University (2014-2020) Rachel Midura specializes in digital history approaches to early modern Europe, with particular expertise in the history of information systems. Her work examines how the development of postal networks, print technology, and state intelligence operations created an 'information age' in the early modern period, long before the digital revolution of our own time. She integrates twenty-first century understanding of media and social networks with traditional historical approaches to develop new models for understanding historical communication. Her research often draws on extensive digitization projects to synthesize innovative historical perspectives on how information moved, was controlled, and shaped political power in early modern Europe. Midura's scholarly output demonstrates a consistent focus on the connections between physical travel routes, communication networks, and intelligence gathering in early modern Europe. Her work bridges traditional historical research with digital humanities methodologies, creating new pathways for understanding how information circulated in pre-modern societies. Through data-driven approaches to historical travel itineraries and postal networks, she reveals how early modern states developed sophisticated surveillance and intelligence systems that anticipated modern practices. Scientific Awards: Early Career Scholarly Impact Award (2025) Honorable Mention: Article Prize for Early Modern and Medieval History (2024) As an educator, Midura has developed innovative courses that integrate digital methodologies with historical content, including specialized offerings on espionage and surveillance in early modern Europe. Her teaching philosophy emphasizes the importance of making historical knowledge accessible through digital curation and annotation. She actively participates in professional development activities focused on inclusive teaching practices and has received funding for curriculum innovation in digital history education. Midura leads the Early Modern Digital Itineraries (EMDigIt) project, which transforms early printed itinerary books to support new data-driven approaches to the history of travel. This NEH-funded initiative represents a significant contribution to digital humanities methodology while advancing our understanding of historical mobility patterns and information networks.

Thad Starnerمشاهده پروفایل

استاد

• Wearable Computing
• Human-Computer Interaction (HCI)
• Augmented Reality
• +۷ مورد دیگر

Thad Starner is a Professor in the College of Computing at Georgia Institute of Technology and Technical Lead/Manager on Google's Glass. He directs the Contextual Computing Group (CCG), co-founded the Animal Computer Interaction Lab, and contributes to Georgia Tech's Ubicomp Group and Brainlab. A wearable computing pioneer since 1993, he has over 500 publications and 80 issued U.S. patents. Coined 'augmented reality' in 1990 Developed CopyCat for ASL learning in deaf children Invented Passive Haptic Learning for skill acquisition His research spans wearable interfaces for Deaf-hearing communication, dolphin interaction systems (CHAT), dog-handler communication (FIDO), and brain-computer interfaces for ALS patients. Current projects focus on optical aging simulation, XR input methods, and animal behavior telemetry. Recent publications (2023-2025) explore AR display ergonomics, AI-augmented reasoning, sign language recognition, and animal-computer interaction. His work has been featured in 60 Minutes, BBC, National Geographic, and Time Magazine. CHI Academy (2017) Lemelson-MIT Prize finalist White House Champions of Change finalist He advises graduate students in wearable systems and teaches AI and prototyping courses. His lab developed the Perceptive Workbench for gesture tracking and created early Eigenfaces research for face recognition.

• Computer Vision
• Machine Learning
• Video Analysis
• +۵ مورد دیگر

Professor Hossein Rahmani serves at the School of Computing and Communications , Lancaster University , with a focus on Computer Vision and Machine Learning . His career spans institutions like the University of Western Australia (PhD), Shahid Beheshti University (MSc), and Isfahan University of Technology (BSc). Research Interests : Computer Vision, Machine Learning, Video Analysis, Action Recognition/Detection, Object/Human Pose Estimation, 3D Reconstruction, Diffusion Models, Human-Object Interaction Editorial Roles : Associate Editor for IEEE Transactions on Neural Networks and Learning Systems , Pattern Recognition , ACM Computing Surveys ; Area Chair for CVPR 2025, ICLR 2025, ECCV 2024, IJCAI 2024 His recent work leverages diffusion models for domain-generalized object pose estimation, 3D scene editing, and human mesh recovery, published in top venues like TPAMI , CVPR , ICCV , and ECCV . He received the Best Scientific Paper Award from the International Conference on Pattern Recognition and actively supervises 5 PhD students with interdisciplinary projects in digital health and data science.

• Computer Vision
• Image Analysis
• Machine Learning
• +۵ مورد دیگر

Serge Belongie is a Professor at the Department of Computer Science (DIKU) at the University of Copenhagen, where he holds dual affiliations with the Pioneer AI research section and the Image Analysis, Computational Modelling, and Geometry section. His academic position places him at the forefront of interdisciplinary research connecting computer vision with language models, geospatial analysis, and cultural understanding. Professor Belongie's research program encompasses several critical domains in modern artificial intelligence: Advanced computer vision and image analysis techniques Vision-language model integration and multimodal systems 3D point cloud processing and semantic segmentation Geospatial representation learning for environmental applications Fine-grained object recognition and detection Cultural context understanding in AI systems His recent publication record reveals a sophisticated trajectory toward developing precise control mechanisms for vision-language models, with applications spanning forensic analysis, cultural heritage preservation, and social media understanding. The research demonstrates increasing sophistication in handling cultural context and enabling fine-grained manipulation of visual content through natural language interfaces. Professor Belongie maintains an active research group producing significant scholarly output, with over 280 research publications documented in his academic profile. His work is supported by research funding that enables cutting-edge exploration in multimodal AI systems with practical societal impact. He plays a key role in the Pioneer AI center at the University of Copenhagen, which focuses on advancing artificial intelligence through interdisciplinary collaboration and innovative research approaches that bridge theoretical computer science with real-world applications.