جست‌وجوی استاد و پژوهشگر

• Spatial Modeling
• Temporal Modeling
• Semantic Modeling
• +۷ مورد دیگر

Prof. Thomas H. Kolbe serves as Chair of Geoinformatics at the Technical University of Munich (TUM), where he leads research in spatial, temporal, and semantic modeling of urban environments. His work focuses on developing foundational frameworks for 3D/4D city models, digital twins, and smart city applications through international standardization efforts including CityGML and IndoorGML. His research spans virtual city modeling, urban system simulation, and GIS integration with emerging technologies. Current projects emphasize AI-driven urban scenario generation, semantic streetspace modeling, and IoT integration in digital twin ecosystems. Recent publications demonstrate strong interdisciplinary connections between computer vision, urban planning, and geospatial data science, with particular emphasis on practical implementations of 3D city models for sustainability challenges. Prof. Kolbe actively contributes to professional organizations including the Round Table GIS eV (as Chairman since 2013) and the Munich Data Science Institute (as core member since 2021). His leadership extends to the Leonhard Obermeyer Center for digital methods in the built environment and the Hans Eisenmann Forum for agricultural sciences. His work bridges theoretical geoinformatics with practical urban applications through numerous collaborative projects with municipal governments and industry partners.

• Data Mining
• Privacy-Preserving Computation
• Artificial Intelligence
• +۳ مورد دیگر

Onur KARDEŞ serves as Assistant Professor in the Department of Computer Engineering at Beykent University's Faculty of Engineering and Architecture since 2020. His prior academic appointments include: Research Assistant, Department of Computer Science, Stevens Institute of Technology (2004-2008) Lecturer, Department of Mathematics and Computer Science, Faculty of Arts and Sciences, Beykent University (2000-2004) His research integrates data mining, privacy-preserving computation, and artificial intelligence with practical applications in educational technology and urban systems. Key contributions include developing privacy-enhancing protocols for distributed data mining and pioneering generative AI solutions for automated student assessment and digital teaching assistants. Analysis of his 2023-2025 publications reveals accelerating focus on generative AI implementations, particularly in educational evaluation (automated examination paper analysis) and urban planning (AI-driven smart city frameworks). This evolution demonstrates strategic adaptation to emerging technologies while maintaining core expertise in secure computation and data mining.

Åsa Maria Wikforssمشاهده پروفایل

استاد

• Philosophy of Language
• Philosophy of Mind
• Semantic Externalism
• +۵ مورد دیگر

Åsa Maria Wikforss is a Professor in Theoretical Philosophy at Stockholm University, specializing in intersections of philosophy of language, mind, and epistemology. Her research focuses on semantic externalism, content externalism, and normativity of meaning, with significant grants from the Swedish Research Council and Bank of Sweden Tercentenary Foundation. Ph.D., Columbia University (1996) Docent, Stockholm University (2002) Research interests include challenges to semantic normativity, self-knowledge, and knowledge resistance. She critiques Kripke-Putnam theories of natural kind terms and develops 'reason-providing functionalism' for belief characterization. Key publications address transparency of content, semantic externalism, and belief justification Organized international workshops on internalism/externalism and Wittgenstein/Davidson Scientific awards include: Swedish Research Council grants (2007-2010, 2013) Bank of Sweden Tercentenary Foundation grant (2004-2006) Project leadership in CCCOM and Eurounderstanding initiatives She supervises doctoral students and has co-led Nordic graduate seminars on epistemology and philosophy of mind. Her popular science work addresses knowledge resistance, pseudoscience, and self-knowledge in media debates.

• Machine Learning
• Artificial Intelligence
• Quantum Computing
• +۵ مورد دیگر

Sophia Natasha Wilson is a Research Fellow in the Department of Computer Science (DIKU) at the University of Copenhagen, specializing in machine learning applications across interdisciplinary domains. She is affiliated with the SCIENCE AI Centre and holds a cross-departmental position at the Niels Bohr Institute . Her research bridges theoretical machine learning with practical implementations in healthcare, quantum computing, and environmental sustainability. University of Copenhagen Department of Computer Science (DIKU) Niels Bohr Institute SCIENCE AI Centre Her research focuses include: Quantum-enhanced machine learning algorithms Explainable AI for healthcare applications Environmental sustainability in computing Emotion-aware language models Quantum computing hardware optimization Public health risk modeling Her recent publications demonstrate cross-disciplinary work in quantum machine learning (hybrid optical processors, qubit stabilization), health informatics (hypothyroidism analysis, nursing values evaluation), and ethical AI (sustainable AI, fairness in recommender systems). Technical work also appears in non-Euclidean generative models and real-time adaptive systems . Current projects include quantum dot array simulation (QDarts platform) and federated learning for personalized medicine . She contributes to the TreeSense center for remote sensing of global tree resources and works on climate-aware AI frameworks.

• Natural Language Processing
• Legal Informatics
• Multilingual NLP
• +۳ مورد دیگر

Ilias Chalkidis is an Assistant Professor specializing in Natural Language Processing at the Department of Computer Science, University of Copenhagen. He is actively affiliated with the Natural Language Processing research section, contributing to both theoretical and applied advancements in the field. His research spans multiple high-impact domains with particular emphasis on: Legal natural language processing and multilingual legal reasoning Large language model applications in political and social contexts Fairness-explainability trade-offs in AI systems Innovative representation learning techniques for textual data Analysis of his recent publications reveals a strong focus on bridging legal informatics with cutting-edge NLP methodologies. His work on multilingual legal corpora (including the 689GB MultiLegalPile dataset) and legal decision influence prediction demonstrates practical applications for judicial systems. Simultaneously, his investigations into LLMs as voting assistants and European political spectrum analysis showcase innovative intersections between computational social science and language technology. His technical contributions to contrastive learning and hyperbolic embeddings provide foundational advances for document representation. Chalkidis actively participates in the research community through workshop organization (Natural Legal Language Processing Workshop 2023-2024) and conference presentations. His research has been published in top-tier venues including ACL, EMNLP, and ECAI, with significant citations reflecting community impact. While specific advising relationships aren't documented in the provided materials, his collaborative work patterns suggest active mentorship within the NLP research ecosystem.

Thijs van Edeمشاهده پروفایل

استادیار

• Cybersecurity
• Machine Learning
• Artificial Intelligence
• +۳ مورد دیگر

Thijs van Ede serves as an Assistant Professor in the Semantics, Cybersecurity and Services research group at the University of Twente's Faculty of Electrical Engineering, Mathematics and Computer Science. His academic work centers on security automation through machine learning and AI integration, with specialized expertise in large language models for intrusion detection systems and anomaly analysis in rapidly evolving network environments. His research program bridges theoretical AI advancements with practical cybersecurity applications, focusing on contextual security analysis using deep neural networks and Natural Language Processing techniques for cyber threat intelligence sharing. This work manifests in open-source tool development emphasizing collaborative science, including frameworks for encrypted traffic analysis and security event log interpretation. Recent publications demonstrate consistent innovation in applying deep learning to network security challenges, particularly through the DeepCASE (2022) and FlowPrint (2020) frameworks that address anomaly detection in security logs and mobile application fingerprinting respectively. These works establish patterns in leveraging sequential data analysis for real-time threat identification. Through active mentorship of the Twente Hacking Squad student team, he cultivates next-generation cybersecurity talent via Capture The Flag competitions while maintaining research infrastructure through open-source security tools. His academic service includes developing accessible research implementations that bridge theoretical concepts and operational security solutions. As a core member of the Semantics, Cybersecurity and Services research group, he contributes to the University of Twente's Digital Society Institute initiatives, focusing on deployable AI security systems that operate effectively in dynamic enterprise environments. His work maintains strong connections between academic research and practical security operations through toolchain development and student engagement.

Marco Aurélio Gerosaمشاهده پروفایل

عضو هیئت علمی

• Human Aspects of Software Engineering
• Software Engineering Education
• Computer Supported Cooperative Work (CSCW)
• +۷ مورد دیگر

Marco Aurélio Gerosa is a Professor at Northern Arizona University and was previously an Associate Professor at the University of São Paulo (USP), Brazil . He is affiliated with the School of Informatics, Computing, and Cyber Systems (SICCS) at NAU and the Department of Computer Science at USP. His research focuses on the Human Aspects of Software Engineering , including Software Engineering Education , Computer Supported Cooperative Work (CSCW) , and AI-Assisted Software Engineering . He has published extensively on topics such as Open Source Software development, Bots and Chatbots in software engineering, and Mining Software Repositories techniques. His recent work explores Using Large Language Models (LLMs) for educational purposes in programming, data science, and software engineering Developing chatbots to facilitate newcomer onboarding to OSS projects Investigating the evolution of Integrated Development Environments (IDEs) Assessing the impact of software bots on projects Understanding how to design effective chatbot languages Dr. Gerosa has received numerous scientific awards, including ACM SIGSOFT Distinguished Paper Award Best paper awards at ICSE and International Symposium on Open Collaboration IEEE Computer Society TCSE Distinguished Paper and Service Awards Productivity grants from CNPq (Brazilian Council for Scientific and Technological Development) He has graduated numerous PhD students who are now researchers in top institutions worldwide and has been a mentor to many more at various levels. His research projects have secured over USD 1 million in funding. Dr. Gerosa is also involved in the development of tools and environments for software engineering, including MetricMiner for repository analysis and various gamification platforms to enhance developer engagement. He brings over 25 years of teaching experience across multiple universities, teaching courses ranging from Introduction to Programming to Advanced Topics on Web Development and Collaborative Systems Development.

Danna Gurariمشاهده پروفایل

استادیار

• Computer Vision
• Human-Computer Interaction
• Accessibility
• +۴ مورد دیگر

Dr. Danna Gurari is an Assistant Professor in the Computer Science Department at the University of Colorado Boulder and Founding Director of the Image and Video Computing Group. She specializes in computer vision, human-computer interaction, accessibility, and biomedical data analysis, emphasizing interdisciplinary approaches. Since 2017, she has taught over 400 students in graduate and undergraduate courses while leading a multidisciplinary research team. Her research spans 60+ peer-reviewed articles and has been supported by NSF, CZI, Microsoft, Adobe, and Amazon. She mentors over 30 mentees annually, from undergraduates to postdocs. Her work bridges academia and industry, informed by prior roles at Boulder Imaging and Raytheon. Education: Ph.D. in Computer Science from Boston University, postdoctoral fellowship at University of Texas at Austin, and industry experience at Raytheon. Research focuses on visual interpretation for accessibility, biomedical image analysis, privacy preservation, and hybrid human-machine systems. Key lab projects include AI solutions for blind individuals, cancer radiation therapy optimization, and visual privacy tools. Awards: Recognitions at top venues including WACV, CHI, CSCW, and MICCAI. Active in funding and grants, including NSF Explore Access and Google Cloud Education grants. Labs/Teams: Leads the Image and Video Computing Group, collaborating with medical campuses and industry partners. Projects include VizWiz Grand Challenge and disability-first dataset development.

• Philosophy of Mathematics
• Formal and Philosophical Logic
• Philosophy of Language
• +۳ مورد دیگر

Luca Incurvati is an Associate Professor in the Department of Philosophy and the Institute for Logic, Language and Computation (ILLC) at the University of Amsterdam. He leads the Formal Semantics and Philosophical Logic research unit at ILLC and serves as an editor of The Review of Symbolic Logic . Previously, he held roles at the University of Cambridge, including a PhD from St John's College and Research Fellowships at Magdalene College and Lecturer in the Faculty of Philosophy. His research focuses on philosophy of mathematics, formal and philosophical logic, philosophy of language, meta-ethics, and metaphysics. Notable projects include the ERC-funded EXPRESS Project exploring expressivist semantics through disagreement analysis. His work bridges foundational questions in logic with semantic and epistemic investigations. Incurvati has published extensively on topics such as supervaluationism, inferentialism, set-theoretic conceptions, and epistemic modality. His books include Conceptions of Set and the Foundations of Mathematics (2020) and Reasoning with Attitude (2023, with Julian Schlöder). His research often addresses logical pluralism, the semantics of negation, and the philosophical implications of multilateral frameworks. He has received grants such as the ERC Starting Grant (2018–2023) and contributes to academic leadership through editorial roles and conference organization. His interdisciplinary approach integrates logic, metaphysics, and linguistic analysis to advance foundational debates in philosophy.

Ewan Dunbarمشاهده پروفایل

استادیار

• Computational Linguistics
• Speech Perception
• Unsupervised Learning
• +۳ مورد دیگر

Ewan Dunbar is an Assistant Professor of Computational Linguistics at the University of Toronto (downtown campus), affiliated with St. Michael's College. He holds appointments in the Department of French, Department of Linguistics, and Department of Computer Science. His research explores human speech perception, technological advancements in speech processing, and related areas such as unsupervised learning and language acquisition. Educational Background: While specific degrees aren't listed, his research and appointments indicate advanced training in linguistics and computational sciences. Research Interests: Dunbar focuses on how humans perceive speech, developing computational models of speech perception, and advancing unsupervised learning techniques. He leads the Perceptimat Research Group and organizes the Zero Resource Speech Challenge, a machine learning competition promoting unsupervised approaches to speech processing. Awards: He has received notable grants including the 2028 NSERC Discovery Grant, 2028 NSERC Discovery Launch Supplement, and 2023 Connaught New Researcher Award, all supporting his work on computational psycholinguistics and speech perception models. Advising & Grants: While specific student names aren't listed, his grants indicate involvement in mentoring undergraduates (e.g., 2024 NSERC Undergrad Studentship Grant). His labs focus on creating speech perception tools and benchmarks like Perceptimatic. Labs/Teams: Director of the Perceptimat Research Group, organizer of the Zero Resource Speech Challenge.

Yonghao Xuمشاهده پروفایل

استادیار

• Machine Learning
• Remote Sensing
• Artificial Intelligence
• +۴ مورد دیگر

Yonghao Xu is an Assistant Professor at the Department of Electrical Engineering , Linköping University , and affiliated with the Computer Vision Laboratory (CVL) and the Wallenberg Autonomous Systems Program (WASP) . His research bridges remote sensing , machine learning , and AI security . Research Trends Xu's recent publications focus on adversarial attacks and defenses in remote sensing, domain adaptation for semantic segmentation, and benchmark dataset creation (e.g., Sen2Fire). His work addresses challenges in urban sustainability , geospatial data analysis , and deep learning robustness . Labs & Programs He is associated with the Computer Vision Laboratory (CVL) , contributing to autonomous systems through the Wallenberg Autonomous Systems Program (WASP) , a major Swedish initiative in AI and robotics.

R. Manmathaمشاهده پروفایل

استاد مدعو

• Computer Vision
• Information Retrieval
• Image and Video Retrieval
• +۸ مورد دیگر

R. Manmatha is an Adjunct Professor in the College of Information and Computer Sciences at the University of Massachusetts Amherst and a Principal Scientist at Amazon A9 since 2013. His academic journey includes a Ph.D. in Computer Science from University of Massachusetts Amherst (1997), an M.S. in Electrical Engineering from University of Hawaii (1986), and a B.Tech in Electrical Engineering from Indian Institute of Technology Kanpur (1983). Research Interests Manmatha's work spans Computer Vision , Information Retrieval , and Document Analysis . Key projects include: Developing Vision-Language Models for GUI grounding and OCR-free document understanding Creating Word Spotting techniques for historical manuscripts like George Washington's papers Advancing Image Retrieval through statistical and relevance models Building Meta Search systems using score distribution analysis Optimizing Diffusion Transformers for text-to-image generation Scientific Contributions His research has led to numerous publications in conferences like SIGIR , CVPR , and ICDAR , focusing on: Automatic Image Annotation using cross-media relevance models Scale Space Techniques for handwritten manuscript segmentation Alignment Methods for document-groundtruth generation Indian Language Document Search via locality-sensitive hashing Transformer-based architectures for multimodal and document tasks Advising & Collaborations Manmatha has mentored students including Jiwoon Jeon , Shaolei Feng , Toni Rath , Jamie Rothfeder , and Nitin Srimal . He co-founded Snaptell (acquired by Amazon) and contributed to Amazon's mobile search technology. Labs & Teams He leads the Multi-media Indexing and Retrieval (MIR) group at the Center for Intelligent Information Retrieval (CIIR) , focusing on non-textual information indexing through ASCII conversion and direct content analysis.

Gilles-Maurice de Schryverمشاهده پروفایل

استاد پژوهشی

• African Linguistics
• Bantu Corpus Linguistics
• Lexicography
• +۹ مورد دیگر

Gilles-Maurice de Schryver is a Research Professor of African Linguistics at Ghent University (since 2015) and an extraordinary professor at the University of Pretoria (since 2014). He holds an MSc in Microelectronic Engineering (1995), an MA (1999), and a PhD (2005) in African Languages and Cultures. His research focuses on Bantu corpus linguistics Lexicography (specializing in Swahili, Northern Sotho, Zulu, Xhosa) Artificial intelligence applications in dictionary-making Digital language technology for African languages His recent work examines the intersection of large language models (LLMs) and lexicography, including studies on Swahili corpus evolution (1999-2024) Epistemic modality in Swahili AI-driven translation equivalents Dictionary user behavior analysis Scientific contributions include Award-winning dictionaries for Northern Sotho, Zulu, and Xhosa (Oxford University Press) Leadership as past President of Afrilex (2009-2013) and EURALEX (2018-2021) Founding member of the African Language Technology group Co-facilitator of Americalex-S and Chair of Globalex

Marten van Schijndelمشاهده پروفایل

استادیار

• Computational Linguistics
• Psycholinguistics
• Neural Network Language Models
• +۳ مورد دیگر

Marten van Schijndel is an Assistant Professor of Computational Linguistics at Cornell University, affiliated with the Cognitive Science Program and the Department of Linguistics within the College of Arts and Sciences. His research focuses on incremental language processing, comparing human linguistic behavior with computational models like neural networks. He organizes the Computational Psycholinguistic Discussions (C.Psyd) and collaborates with the Cornell Computational Linguistics Lab (CLab) and Cornell NLP Group. Van Schijndel’s work bridges computational modeling and psycholinguistics, probing how humans and models process language incrementally, particularly through methodologies like fMRI and behavioral experiments. His research interests include computational modeling of language processing, neural network representations, and the interplay between syntax, semantics, and discourse. Notably, he investigates ungrounded learning in neural models, exploring what linguistic aspects emerge from statistical patterns alone. Recent contributions include studies on semantic change quantification, phonotactic effects in context, and discourse predictability in Hindi word order. Van Schijndel teaches courses such as Computational Linguistics II and leads seminars on natural language processing. He actively advises students like John R. Starr, Ashlyn Winship, and Zander Lynch, whose work spans experimental paradigms for semantic spaces, implicit arguments in sentence processing, and semantic role localization. His recent activities include co-organizing workshops on event representation (PEER 2025) and presenting at the University of Rochester on event construction from language. Media highlights include research on tracking anti-immigrant hate speech and semantic evolution in French texts.

• Collaborative Research and Discovery
• IT-Enabled Business Process Innovation
• Knowledge Mining and Visualization
• +۳ مورد دیگر

Christopher Asakiewicz is a Teaching Professor at the School of Business, Stevens Institute. His research focuses on Collaborative Research and Discovery, IT-Enabled Business Process Innovation, Knowledge Mining and Visualization, Healthcare Analytics, Cognitive Systems, and Artificial Intelligence. PhD in Information Management (2003), Stevens Institute MS in Electrical Engineering (1983), Stevens Institute BS in Electrical Engineering and Computer Science (1977), Columbia University His research explores the intersection of artificial intelligence and healthcare, particularly in accelerating translational research through knowledge mining, cognitive systems, and data integration. He has pioneered methods for leveraging AI in biobanking, collaborative discovery, and healthcare analytics, with a focus on enterprise-level applications. Recent publications highlight applications of AI and machine learning in translational research, healthcare analytics, and IT-enabled business process innovation. His work often bridges computer science, systems engineering, and life sciences. Asakiewicz contributes to institutional service through roles on the Institute Curriculum Committee and BI&A Advisory Board. He has secured significant research funding for projects involving Merck Pharmaceuticals, Genesis Research, and the Department of Defense.