جست‌وجوی استاد و پژوهشگر

Stefan Leuteneggerمشاهده پروفایل

استادیار

• Mobile Robotics
• SLAM (Simultaneous Localization and Mapping)
• Computer Vision
• +۷ مورد دیگر

Prof. Stefan Leutenegger is a tenure-track Assistant Professor at Technische Universität München (TUM), leading the Machine Learning for Robotics group within the TUM School of Computation, Information, and Technology. Previously, he held roles as Senior Lecturer (2018–2021) and Lecturer (2014–2018) at Imperial College London's Dyson Robotics Lab, where he founded the Smart Robotics Lab. He earned his PhD (2014) from ETH Zurich, focusing on autonomous solar-powered aircraft navigation, and holds BSc (2006) and MSc (2009) in Mechanical Engineering from ETH Zurich. His research centers on mobile robotics, particularly enabling robots (e.g., drones) to perceive and navigate complex environments using machine learning and sensor data fusion. Key focus areas include SLAM, event-based vision, 3D reconstruction, and autonomous exploration. He has pioneered algorithms like BRISK (2011), OKVIS (2014), and ElasticFusion (2016), advancing real-time robotics perception. Notable Awards: Imperial College President's Award (2018), Best ECCV Paper (2016), ETH Medal for Dissertations (2015). Labs: TUM's Machine Learning for Robotics Group, Imperial's Smart Robotics Lab. Publications: Over 100 papers, including seminal works in CVPR, ECCV, and Robotics: Science and Systems. Current projects include DigiForests (forest inventory via robotics), aerial additive manufacturing, and object-centric semantic mapping. His work bridges theory and practice, with applications in autonomous drones, construction robotics, and human-robot interaction.

• German Linguistics
• Syntax
• Formal Grammar
• +۳ مورد دیگر

Prof. Stefan Müller is a Professor at the Institute for German Language and Linguistics , part of the Faculty of Languages and Literature at Humboldt University. His research focuses on syntax, formal grammar theories (especially Head-Driven Phrase Structure Grammar), and computational linguistics. He leads the CoreGram Project , developing cross-linguistic grammars using HPSG formalisms. His work includes analyses of German syntax, constituent order, anaphoric binding, and register phenomena. He is also involved in open-access publishing initiatives through Language Science Press . Contact: St.Mueller@hu-berlin.de . Education and academic background details are not explicitly stated in the provided text, but his professional trajectory indicates deep expertise in theoretical linguistics. His research spans multiple languages including German, Mandarin, and Persian, with a focus on grammar implementation and syntax-semantics interfaces. Key contributions include the Head-Driven Phrase Structure Grammar Handbook (2024), analyses of headless nominal structures in German (2022), and exploration of large language models' theoretical implications (2024). He actively engages in interdisciplinary projects bridging formal grammar and computational methods.

Nate Fosterمشاهده پروفایل

استاد

• Programming Languages
• Networking
• Databases
• +۵ مورد دیگر

Nate Foster is a Professor of Computer Science at Cornell University and currently serves as the Associate Dean for Research in the Ann S. Bowers College of Computing and Information Science. He is also a Visiting Researcher at Jane Street and served as a Visiting Professor at École Polytechnique Fédérale de Lausanne during the 2023-24 academic year. His research uses ideas from programming languages to solve problems in networking, databases, and security. BA in Computer Science, Williams College (2001) MPhil in History and Philosophy of Science, University of Cambridge (2008, all work completed in 2003) PhD in Computer and Information Science, University of Pennsylvania (2009) Foster's research focuses on developing languages and tools that make it easy for programmers to build secure and reliable systems. His current work centers on the design and implementation of languages and tools for programmable networks, particularly using the P4 language. His past work includes bidirectional languages (also known as 'lenses'), database query languages, data provenance, type systems, mechanized proof, and formal semantics. His research group at Cornell has made significant contributions to network verification, software-defined networking, and formal foundations for programmable data planes. Analysis of Foster's recent publications reveals a strong focus on network verification and programming language foundations for networking. His work consistently applies formal methods to practical networking problems, with a particular emphasis on the NetKAT and P4 languages. Over the past five years, his research has evolved toward more complex network verification techniques, including infinite state verification, active learning of network models, and dependently-typed approaches to network programming. His work bridges theoretical computer science with practical networking systems, making formal methods accessible to network engineers. ACM Fellow (2025) ACM SIGPLAN Robin Milner Award (2023) ACM SIGCOMM Rising Star Award (2018) NSF CAREER Award (2013) Alfred P. Sloan Fellowship (2012) Multiple distinguished paper awards across top conferences including POPL, PLDI, and SIGCOMM Foster has advised numerous PhD and Master's students who have gone on to prominent positions in both industry and academia, with many continuing work in programming languages and networking. He has led multiple significant research grants including an NSF CAREER Award and has been involved in the P4 Language Consortium, serving as Chair of the P4 Language Governing Board. His work has been supported by various organizations including NSF, DARPA, and industry partners like Intel and Jane Street. Foster is also active in the programming languages research community, serving on numerous program committees and as Vice Chair of DARPA's Information Science and Technology (ISAT) study group. Foster leads a vibrant research group at Cornell focused on programming languages for networks, with collaborators from academia and industry. His group has developed several influential tools and frameworks including NetKAT, Petr4, and KATch. They maintain strong connections with the P4 community and work closely with industry partners to ensure their research has practical impact on real-world networking systems.

Christian Bizerمشاهده پروفایل

استاد

• Data Integration
• Entity Matching
• Schema Matching
• +۵ مورد دیگر

Professor Christian Bizer is a leading figure in web-based systems and data integration at the University of Mannheim , where he chairs Information Systems V: Web-based Systems . His research focuses on integrating data from multiple sources using large language models and LLM-based agents, with applications in product data extraction and DBpedia knowledge graph construction. He co-founded the DBpedia project and initiated the WebDataCommons initiative. Current research areas: Entity matching, schema matching, table annotation, information extraction, data discovery Key projects: WebMall benchmark, WInte.r integration framework, Schema.org analysis His work applies to e-commerce data integration and knowledge graph construction, with empirical studies on schema.org adoption. He supervises PhD students including Alexander Brinkmann and Ralph Peeters. Scientific Awards: Best Paper at iiWAS 2024 SWSA Ten-Year Award at ISWC 2019 Yahoo FREP Award 2015 Semantic Web Challenge winners Teaching includes courses on web data integration, web mining, large language models, and data mining for master's programs. He leads the DWS PhD colloquium and team projects on LLM agents for data integration.

• Islamic Studies
• Middle Eastern History
• Mamluk Sultanate
• +۹ مورد دیگر

Stephan Conermann serves as Professor of Islamic Studies and Dean of the Faculty of Arts and Humanities at the University of Bonn, where he has held continuous academic appointments since 2003. His institutional leadership includes directorship of the Annemarie Schimmel Kolleg (2010-2022), Bonn Center for Transcultural Narratology, and significant administrative roles culminating in his current deanship since 2023. Academic Background: Doctorate in Oriental Philology/Islamic Studies (Kiel University, 1996, magna cum laude) Magisterstudium in Asian History, Oriental and Slavic Philology (Kiel University, 1992) Conermann's research examines pre-modern Islamic societies through narrative strategies in historiography, with specialized focus on Mamluk Sultanate governance (1250-1517), Delhi Sultanate/Mughal transitions, and Transottomanica mobility dynamics. His work uniquely connects asymmetrical dependencies (particularly slavery systems), power structures, and global entanglements across South Asia, Middle East, and Eastern Europe. His extensive publication portfolio shows consistent thematic evolution toward comparative frameworks analyzing slavery beyond Eurocentric models, narrative construction of power across cultures, and mobility as historical catalyst. Recent scholarship increasingly integrates transcultural methodology with digital humanities approaches. Academic Leadership: Supervised 290+ theses (59 PhD, 96 Magister, 47 Master, 88 Bachelor) Acquired ~9 million euros in third-party funding (DFG, BMBF, DAAD) Editor of 15+ publication series including Mamluk Studies and Dependency and Slavery Studies Conermann directs the Bonn Center for Transcultural Narratology and co-leads the EXC 2036 'Beyond Slavery and Freedom' cluster, fostering interdisciplinary research on pre-modern dependency systems through international collaborations across Europe, Asia, and the Americas.

• Natural Language Processing
• Computational Linguistics
• Event Detection and Understanding
• +۴ مورد دیگر

Teruko Mitamura is a prominent researcher at Carnegie Mellon University with over three decades of contributions to natural language processing, computational linguistics, and artificial intelligence. Her work spans from foundational research in event representation to advanced applications in multimodal systems and question answering. Her research interests focus on event detection and understanding, question answering systems, information retrieval, and multimodal processing. She has made significant contributions to event coreference resolution, timeline construction, and cross-document event analysis, developing methodologies that have become standard in the field. Her work often bridges theoretical advances with practical applications, particularly in complex information environments requiring deep semantic understanding. Natural Language Processing : Specializing in event extraction, coreference resolution, and narrative understanding with over 179 publications Question Answering Systems : Developing advanced techniques for complex question answering, particularly through NTCIR QA Lab and PoliInfo tasks Multimodal Processing : Integrating textual, visual, and temporal information for richer understanding in systems like ProMQA Evaluation Methodologies : Creating robust frameworks for assessing NLP systems through TAC KBP Event Tracks Her recent publication trends show a strong focus on leveraging large language models for event understanding, multimodal question answering, and timeline construction. She has expanded her research into specialized domains including patent analysis and novelty examination, demonstrating the breadth of her research impact across academic and practical applications. Active participant in major NLP conferences including ACL, EMNLP, NAACL, and AAAI with consistent publications Long-standing collaborator with researchers at CMU's Language Technologies Institute including Eduard H. Hovy and Eric Nyberg Contributor to shared tasks that have shaped research directions in event processing and question answering Organizer of multiple NTCIR QA Lab tasks focused on political information question answering Dr. Mitamura has mentored numerous researchers who have gone on to make their own contributions to the field, as evidenced by her extensive co-authorship network and the progression of her former students and collaborators into faculty and research positions. Her work continues to evolve with the field while maintaining her focus on deep semantic understanding of events and narratives.

Martin Haspelmathمشاهده پروفایل

استاد مدعو

• Comparative Linguistics
• Language Universals
• Linguistic Typology
• +۳ مورد دیگر

Martin Haspelmath is a Senior Research Scientist at the Department of Linguistic and Cultural Evolution at the Max Planck Institute for Evolutionary Anthropology (MPI-EVA), Leipzig, and an honorary (adjunct) professor at Leipzig University. His research focuses on comparative linguistics, language universals, and typology, particularly in syntactic and morphological systems. He co-edited the World Atlas of Language Structures (2005/2013) and co-founded Language Science Press . Education: PhD in Linguistics, Freie Universität Berlin (1990–1993) MA in Linguistics, University of Cologne and University at Buffalo (1985–1989) Undergraduate studies in Linguistics, University of Vienna (1983–1985) Research Interests: Haspelmath investigates global grammatical diversity, form-function correspondences, and universals in syntax, morphology, and lexical systems. His work emphasizes comparative concepts for cross-linguistic analysis and critiques traditional grammatical categories. Grants & Projects: ERC project leader at Leipzig University (2015–2020) Co-creator of Grambank , an open-access database of grammatical structures Leading initiatives for open-access publication and linguistic data sharing Labs/Teams: Active in the MPI's Department of Linguistic and Cultural Evolution, collaborating on projects like APICS (Atlas of Pidgin and Creole Language Structures) and ValPal (Valency Patterns Leipzig).

• Machine Learning
• Reinforcement Learning
• Robotics
• +۳ مورد دیگر

Georg Martius is a Full Professor in the Department of Computer Science at the University of Tübingen's Faculty of Science and a Max Planck Research Group Leader at the MPI for Intelligent Systems. Since April 2023, he has been a core member of the DFG-funded Cluster of Excellence 'Machine Learning: New Perspectives for Science,' which received extended funding through 2032 for its mission to integrate machine learning into fundamental scientific discovery processes. His academic foundation includes a PhD from the University of Göttingen and Bernstein Center for Computational Neuroscience (2005), a Diploma in Computer Science from the University of Leipzig (2003), and a visiting research period at the University of Edinburgh's Division of Informatics. Postdoctoral positions followed at the Max Planck Institutes for Dynamics and Self-Organization (Göttingen, 2009), Mathematics in the Sciences (Leipzig, 2010), and IST Austria (2015). Professor Martius's research pioneers the intersection of reinforcement learning, robotics, and tactile sensing, with emphasis on developing autonomous systems capable of natural locomotion, dexterous manipulation, and physical-world understanding. His work bridges theoretical machine learning with practical hardware applications, particularly in creating differentiable simulators, superresolution tactile sensors, and biologically plausible learning frameworks for robotic control. Analysis of his 2024-2025 publications reveals dominant trends in offline reinforcement learning (especially goal-conditioned and diversity-maximization techniques), object-centric representation learning for video understanding, and tactile sensing innovations. A strong thread connects foundation models to world model construction, while his work on differentiable physics engines enables precise collision handling and contact dynamics for real-world robotic control. His leadership roles include directing the Distributed Intelligence research team at Tübingen and contributing to major collaborative initiatives like the Real Robot Challenge and Myochallenge 2022. The Cluster of Excellence appointment represents recognition of his contributions to transforming scientific methodology through machine learning, particularly in automating hypothesis generation and experimental design. Current projects focus on integrating large-scale machine learning with embodied intelligence, advancing tactile perception systems like the Minsight vision-based sensor, and developing neuroplasticity-inspired approaches for robust out-of-distribution detection. His work directly impacts fields requiring physical interaction intelligence, from autonomous navigation to medical robotics, with emphasis on sample-efficient learning from limited real-world data.

• Requirements Engineering
• Goal Modeling
• Conceptual Modeling
• +۷ مورد دیگر

Sotirios Liaskos is an Associate Professor in the School of Information Technology at the Faculty of Science, York University. He is a leading researcher in requirements engineering and conceptual modeling, with a focus on goal models, empirical evaluation, and model-driven engineering. Research Interests: Requirements Engineering Goal and Conceptual Modeling Empirical Software Engineering Model-Driven Design and Automation Uncertainty and Decision-Theoretic Reasoning in Models Applications in Blockchain and Reinforcement Learning His recent work emphasizes the empirical validation of modeling constructs, the integration of decision theory into goal models, and the automated generation of secure workflows and AI training environments. He has led and co-authored numerous experimental studies on model comprehensibility and semantic quality. Publication Trends: His publications consistently appear in top venues like ER, RE, and iStar. The last five years show a strong trend toward empirical evaluation of modeling languages, decision-theoretic goal models, and applications of goal modeling in emerging domains such as blockchain and reinforcement learning simulation design. Scientific Contributions: Developed frameworks for empirical evaluation of modeling language ontologies (Peira framework). Advanced decision-theoretic approaches to goal modeling under uncertainty. Pioneered model-driven methods for generating blockchain simulators and reinforcement learning environments. Conducted foundational empirical studies on the comprehensibility of contribution links and visualization alternatives in goal models. Advising and Collaboration: He has advised several researchers including Ibrahim Jaouhar, Wisal Tambosi, Mehrnaz Zhian, and Saba Zarbaf. He maintains a highly collaborative research profile with frequent co-authorship with John Mylopoulos, Shakil M. Khan, and other international researchers. He has served as a co-editor for multiple iStar workshop proceedings, indicating leadership in the goal-oriented requirements engineering community. Labs and Teams: While no specific lab name is mentioned, his work is closely associated with research groups focused on requirements engineering and conceptual modeling, likely within York University’s software engineering research cluster. His collaborations span institutions in Canada, Europe, and beyond.

Marcin Wągielمشاهده پروفایل

پژوهشگر

• Compositional Semantics
• Syntax-Semantics Interface
• Quantification
• +۴ مورد دیگر

Marcin Wągiel is a semanticist affiliated with Masaryk University's Department of Czech Language and the Centre for Corpus and Experimental Research on Slavic Languages at the University of Wrocław. As an Alexander von Humboldt Fellow at Leibniz-Zentrum Allgemeine Sprachwissenschaft (ZAS), he researches mereotopology across linguistic domains. His work focuses on compositional semantics, quantification, and morphologically complex expressions. Research interests include: Parthood and mereotopological structures Subatomic quantification Cross-linguistic analysis of Slavic languages Semantic change and event semantics He received the E.W. Beth Dissertation Prize for his work on subatomic quantification. Current projects explore classifier constructions and additive numerals across languages.

Manfred Drosteمشاهده پروفایل

استاد

• Theoretical Computer Science
• Automata Theory
• Logic
• +۶ مورد دیگر

Manfred Droste is a Professor at the Institute of Computer Science of the University of Leipzig, where he leads the Research Group on Automata and Formal Languages. He serves as Director of the Graduate Centre Mathematics, Computer Science and Natural Sciences and is Vice-speaker of the DFG-Research Training Group Quantitative Logics and Automata. His academic career spans decades of research and leadership in theoretical computer science and algebra. Prof. Droste's research focuses on theoretical computer science, particularly automata theory, logic, algebraic models for concurrent systems, and domain theory. In algebra, his interests include model theory, automorphism groups, and ordered algebraic structures. His work bridges theoretical foundations with practical applications in formal language theory and quantitative systems. His extensive publication record demonstrates a consistent focus on weighted automata, formal languages, and their logical characterizations. Over the years, his research has evolved to address increasingly complex quantitative models, with recent work focusing on weighted complexity classes, weighted linear dynamic logic, and decidability boundaries for weighted automata. Prof. Droste has received significant recognition including election to Academia Europaea, an honorary doctorate from Immanuel Kant Baltic Federal University, and fellowship in the Asia-Pacific Artificial Intelligence Association. These honors reflect his substantial contributions to theoretical computer science. He has supervised numerous PhD students including Dietrich Kuske, Paolo Boldi, and Karin Quaas, many of whom have become prominent researchers. His extensive grant portfolio includes multiple DFG projects on weighted automata and international collaborations through DAAD funding. Prof. Droste leads a vibrant research team including Andrea Hesse, Karin Quaas, Erik Paul, and others. He has organized the international workshop series "Weighted Automata: Theory and Applications" since 2002, fostering global collaboration in this specialized field.

• Computational Linguistics
• Natural Language Processing (NLP)
• Dependency Parsing
• +۵ مورد دیگر

Joakim Nivre is a Professor at Uppsala University's Department of Linguistics and Philology. He is a leading researcher in computational linguistics, with a focus on dependency parsing, Universal Dependencies (UD) framework development, and multilingual NLP applications. His recent work explores LLMs in climate change discourse analysis, pharmacovigilance explainability, and historical text processing. Key research areas: Dependency parsing theory, Universal Dependencies standardization, LLM evaluation Collaborations: SweSAT-1.0 benchmark development, ClimateEval project, PARSEME integration His 2025-2023 publications demonstrate expertise in explainable AI for healthcare, synthetic data generation for idioms, and multilingual benchmark design. Notably, he co-developed SweSAT-1.0 to evaluate Swedish LLMs and contributed to typology-informed UD revisions. Despite extensive work in NLP, no scientific awards are mentioned in available texts.

Jay Pujaraمشاهده پروفایل

پژوهشگر

• Artificial Intelligence
• Machine Learning
• Knowledge Graph Construction
• +۵ مورد دیگر

Dr. Jay Pujara is a Research Associate Professor of Computer Science at the University of Southern California (USC) and Director of the Center on Knowledge Graphs. He is also a Principal Scientist at the Information Sciences Institute (ISI) and leads research teams in data science and AI. Ph.D., University of Maryland, College Park (2016) M.S. and B.S. in Computer Science, Carnegie Mellon University Research Interests include artificial intelligence, probabilistic models, knowledge graph construction, statistical relational learning, NLP, and streaming inference. His work focuses on scalable algorithms for big data and uncertainty modeling in dynamic environments. Recent Publications highlight advancements in knowledge graphs, LLM reasoning, and table understanding. Notable topics include non-verbal abstract reasoning , faithful conversational datasets , and KGQA re-ranking . Scientific Awards : SWSA Ten-Year Award (2023), Outstanding Paper (IUI 2019), Top Reviewer (NeurIPS 2018), Best Paper (SRL Workshop 2016) Advising & Grants : Mentored 12+ graduate students, including Ph.D. advisees on topics like causal modeling and neuro-symbolic tasks. Secured NSF funding for table understanding in paleoclimate studies.

• African Studies
• Linguistics
• Historical Anthropology
• +۸ مورد دیگر

Katrin Bromber is a German Researcher at the Centre for Modern Oriental Studies in Berlin, where she has led the research group "Progress and its Discontents: Ideas, Practices, Materiality" since 2014. Her career spans senior research roles at ZMO and academic teaching positions at the University of Vienna. Nationality: German. Language skills: Native German, fluent English/Swahili, moderate Amharic, good reading knowledge in French/Russian, basic Tigrinya. Habilitation (2009–): African Studies, University of Vienna PhD (1993): African Linguistics, University of Leipzig MA (1988): Swahili Studies, University of Leipzig Katrin Bromber's research interrogates intersections of body politics , sports history , Swahili linguistics , and Ethiopian modernity . Her work traces how physical culture, media representation, and colonial/imperial narratives shape national identities across Africa and Asia. Current focus: "Progress" as contested concept in Ethiopian and Gulf urbanism. Key article trends reflect her translocal methodology: 2017 studies on Ethiopian stadiums and fitness culture ; 2014-2013 publications analyzing East African military press , sports branding in the Gulf , and Swahili poetry ; 2007-2000 works on colonial linguistic politics , Indian Ocean slavery , and German colonial Swahili promotion . Recurring sub-fields: body as political text, translocal modernity, media historiography. Scientific Awards: Research Grant of the Berlin City Council (1999-2000): Gendered Slavery study Service to the Scientific Community: Chairwoman, Academic Association for Horn of Africa Studies (2012–) Editorial Advisory Board - Stichproben. Vienna Journal of African Studies (2015–) Editorial Advisory Board - Studies of Department of African Languages and Cultures (2015–) Teaching Experience: Textlinguistics, Mediacommunication, African Linguistics, Swahili (elementary/advanced), Swahili Literature, Swahili in Arabic Script at Leipzig, Humboldt-Berlin, Free Berlin, and Vienna universities Anthropology of the Body at Mekelle University Summer School Field Research: Tanzania (1993-2003): Swahili Poetry, Intellectual History Kenya (2005): Indian Ocean WW2 UAE/Bahrain (2009): Sports and Body Cultures Ethiopia (2009-2015): Sports, Body Politics

Simon Razniewskiمشاهده پروفایل

استاد

• Knowledge-based Artificial Intelligence
• Natural Language Processing
• Data Science
• +۳ مورد دیگر

Simon Razniewski is a Professor of Knowledge-based Artificial Intelligence at TU Dresden and ScaDS.AI, focusing on integrating language models and knowledge bases. He previously held roles at Bosch Center for AI (2023–2024), Max Planck Institute for Informatics (2017–2021), and Free University of Bozen-Bolzano (2014–2017). His research spans knowledge extraction, computational logic, and data science applications. He holds a PhD (2014) and Diplom (MSc, 2010) from Free University of Bozen-Bolzano and TU Dresden, respectively. Research interests include large language models (LLMs), knowledge graph construction, and uncertainty quantification in natural language processing. His work bridges AI theory and practice, with publications at top venues like ACL and EMNLP. He teaches courses on LLMs and knowledge-aware AI, and has advised numerous collaborative projects across academia and industry. Prominent contributions include frameworks like GPTKB for LLM knowledge materialization and QUITE for Bayesian reasoning in NLP. His prior roles at Siemens IT and Globalfoundries inform his applied research focus. The International Center for Computational Logic (ICCL) at TU Dresden is his primary research hub, emphasizing interdisciplinary computational logic and AI advancements.