جست‌وجوی استاد و پژوهشگر

• Sustainability Communication
• Business Ethics
• Environmental Discourse Analysis
• +۳ مورد دیگر

Mark Brown is a Professor at the Department of Communication and Culture at BI Norwegian Business School. He holds a PhD from the University of Oslo (2008) and has extensive experience in academia since 1998, transitioning from business roles in sales and IT. His research focuses on the intersection of language, business, and environmental discourse, emphasizing sustainability communication, corporate social responsibility, and ethical stakeholder dialogue. He has published widely on topics such as corporate environmental rhetoric, Wendell Berry’s ecological philosophy, and the application of John Rawls’ political theory to business ethics. Education Background: PhD in Humanities (2008), University of Oslo MPhil in English (1997), University of Oslo Bachelor of Arts (1995), University of Oslo MSc in Chemical Engineering (1982), Imperial College London Research Interests: Combines linguistic analysis with environmental and business ethics, exploring how corporations construct discourses around sustainability and nature. Key themes include corporate greenwashing, stakeholder communication dynamics, and the rhetorical framing of ecological issues. Teaching: Specializes in intercultural communication at the undergraduate level, including courses on business cultures, ethical dilemmas, negotiation strategies, and presentation skills. His pedagogical work integrates digital learning tools and higher-level cognitive development in students. Grants/Advising: No explicit grants listed, but his research has been supported through institutional affiliations and academic collaborations. He has advised on educational initiatives like the Learning Lab Pilot Programme (2014–2015). Labs/Teams: Active in interdisciplinary research groups focusing on communication studies, sustainability, and ethics. Collaborates frequently with colleagues in humanities and business schools.

Pavel Naumovمشاهده پروفایل

مدرس

• Responsible Mechanism Design
• Logic
• Decision Theory
• +۳ مورد دیگر

Dr. Pavel Naumov is a Lecturer in Computer Science at the University of Southampton, affiliated with the Agents, Interaction, and Complexity research group. His work focuses on Responsible Mechanism Design , integrating scientific, philosophical, and legal principles to study shared responsibility in collaborative decision-making systems. He holds a PhD from Cornell University and a summa cum laude diploma from Lomonosov Moscow State University, specializing in mathematical logic and automated theorem proving. Naumov actively supervises PhD students including Qi Shi and Benjamin James Plummer, and collaborates internationally on projects spanning ethics, logic, and multi-agent systems. His research examines how social norms, trust, and knowledge influence accountability in both human and machine decision-making. Key areas include responsibility diffusion in multi-step decisions, ethical dilemmas in strategic games, and anonymization frameworks for data privacy. Naumov’s recent publications explore topics like three-valued logic, trust-based belief systems, and dynamic logic in clandestine operations. His work bridges formal logic with real-world applications, aiming to ensure transparency and fairness in complex systems.

• Computer Networks
• Unmanned Aerial Vehicles (UAVs)
• Semantic Communication
• +۱۲ مورد دیگر

Gökhan Seçinti is an Assistant Professor in the Department of Computer Engineering at Istanbul Technical University, Faculty of Computer and Informatics. He currently serves as Vice Dean and has previously held the role of Vice Department Head. His research focuses on next-generation wireless networks, UAV communications, semantic communication, and AI-driven networking solutions. Research Interests: His work spans Unmanned Aerial Vehicles (UAVs) , Semantic and Task-Oriented Communication , Software-Defined and Cognitive Networks , 6G Communications , and AI in Networking . He develops practical testbeds for deep learning-based communication architectures and explores digital twin applications in aerial networks. Publication Trends: Recent publications emphasize decentralized UAV service deployment, beam alignment using UWB localization, TDMA scheduling for aerial swarms, and semantic flow control. These reflect a strong trend toward intelligent, adaptive, and context-aware communication systems for IoT and mobility. Best Paper Award, IEEE, 2022 Best Conference Paper, IEEE, 2016 Best Poster Paper Award, IEEE, 2015 Advising and Grants: He has supervised 4 academic works and leads multiple funded research projects, including TÜBİTAK and SRP grants on federated learning in flying networks, semantic VANETs, AI-based intrusion detection, and UAV-assisted IoT for crisis management. Labs and Teams: His work is supported by active research teams at ITU, focusing on testbed development using SDRs, digital twins, and real-world deployment of UAV networks. He collaborates internationally, including past affiliations with Northeastern University.

• Theoretical Computer Science
• Formal Methods
• Programming Language Theory
• +۷ مورد دیگر

Michał Paweł Skrzypczak is an Associate Professor at the Institute of Informatics, Faculty of Mathematics, Informatics, and Mechanics, University of Warsaw. He is actively involved in teaching and academic service, with a focus on theoretical computer science and formal methods. His research interests lie primarily in theoretical computer science , particularly program semantics , program verification , logic in computer science , and automata theory . These interests are reflected in his long-standing teaching of advanced courses such as Program Semantics and Verification , Logics for Computer Scientists , and Automata on Infinite Trees . While no publications are listed in the provided text, the consistent engagement with formal methods and mathematical logic across multiple courses over more than a decade suggests a sustained research trajectory in foundational aspects of computing. Scientific Awards: No awards listed. He has contributed to the academic development of students through teaching and exercise sessions, particularly in core theoretical subjects. Though no formal advisees are listed, his role as an instructor in graduate-level courses indicates mentorship responsibilities. He is affiliated with the Institute of Informatics at the University of Warsaw, which serves as his primary academic unit. There is no mention of specific research labs or teams, but his collaborations with researchers like Prof. Andrzej Tarlecki and Prof. Paweł Urzyczyn suggest integration into a strong logic and semantics research group.

Vassilis Christophidesمشاهده پروفایل

استاد

• Databases
• Web Information Systems
• Big Data Processing
• +۹ مورد دیگر

Vassilis Christophides is a Professor of Computer Science at the University of Crete and holds an advanced research position at Inria Paris, where he leads work in the MiMove team. His research spans databases, web information systems, big data processing, and IoT analytics, with a strong emphasis on entity resolution, data integration, and scalable data mining. He has supervised numerous research projects funded by the European Union and the Greek State, and has published over 130 articles in top-tier conferences and journals. Research Interests: His primary research areas include Databases, Web Information Systems, Big Data Processing and Analytics, and Information Systems for the Internet of Things. He also focuses on entity resolution, knowledge graphs, streaming data, and explainable AI, particularly in the context of anomaly detection and fairness-aware data systems. His recent work explores hybrid attention models for entity alignment and causal analysis in time series classification. Recent Research Trends: Analysis of his recent publications (2021–2025) reveals a strong focus on entity resolution with fairness constraints, explainable anomaly detection, and adaptive scheduling in IoT edge analytics. He also investigates deepfake detection, crop type mapping using satellite data, and structural bias in knowledge graphs, demonstrating a broad and impactful research portfolio at the intersection of data management and machine learning. Scientific Awards: 2004 SIGMOD Test of Time Award Best Paper Award, ISWC 2003 Best Paper Award, ISWC 2007 Advising and Grants: While specific student names are not listed in the provided texts, Christophides has co-authored numerous papers with researchers such as Vasilis Efthymiou, Ioannis Tsamardinos, and Nikolaos Myrtakis, suggesting active mentorship. He has been the scientific coordinator of multiple EU and national research projects, indicating substantial grant leadership and project management experience. Labs and Teams: He is affiliated with the MiMove team at Inria Paris, a research group focused on mobility and data-intensive systems. His work bridges academic and applied research, leveraging Inria’s infrastructure for large-scale data experimentation and innovation in IoT and edge computing environments.

• Digital Humanities
• Historical Auxiliary Sciences
• Medieval History
• +۵ مورد دیگر

Georg Vogeler is Professor of Digital Humanities at the Institute for Digital Humanities, Faculty of Humanities, University of Graz. He leads research in digital scholarly editing, digital diplomatics, and semantic technologies in humanities. He is also associated with the Austrian Centre for Digital Humanities of the Austrian Academy of Sciences, where he served as Scientific Director from 2018 to 2022. Professor, Center for Information Modeling, University of Graz (since 2016) Scientific Director, Austrian Centre for Digital Humanities (2018–2022) Member, Profile Area 'Dimensions of Europe', University of Graz Participant, Research Network 'Human Factor in Digital Transformation' Georg Vogeler's research centers on the intersection of digital technologies and historical scholarship. His work emphasizes digital diplomatics , digital editing , and the application of semantic web technologies to medieval sources. He specializes in late medieval financial records and the administrative practices of Emperor Frederick II. His methodological focus includes information modeling and digital infrastructure for humanities scholarship. The recent publications reflect a strong trend in rethinking traditional scholarly editing through digital methods. His work bridges historical auxiliary sciences with computational approaches, emphasizing structured data, distant reading, and machine-actionable editions. Keywords across his articles include digital humanities, medieval history, scholarly editing, and semantic modeling, with subfields such as text encoding, document analysis, and digital philology. Scientific Awards: No awards explicitly listed. Advising and Grants: Supervised Master’s thesis by Toni Büchel (University of Vienna, 2021–2022) Doctoral supervisor for Frederike Neuber (2017–2018) Principal Investigator, FWF-funded project 'The Reichstag of 1576' (2018–2022) Principal Investigator, EU-funded project 'From Digital to Distant Diplomatics' (2022–2026) Involved in international digital publishing infrastructure projects with Stanford and University of Virginia Labs, Teams, and Research Groups: Georg Vogeler is affiliated with the Center for Information Modeling at the University of Graz and has led major collaborative efforts in digital humanities. He participates in the 'Human Factor in Digital Transformation' research network and contributes to international initiatives such as the TEI Consortium, Biblissima, and COST-Action CA16204. He is a co-editor of key book series and serves on editorial boards, indicating strong integration into global digital humanities communities.

Afra Alishahiمشاهده پروفایل

استاد

• Computational Linguistics
• Language Acquisition
• Neural Models of Language
• +۵ مورد دیگر

Afra Alishahi is a Full Professor at Tilburg University's Department of Cognitive Science and Artificial Intelligence within the Tilburg School of Humanities and Digital Sciences. Her research focuses on computational models of human language acquisition and grounded language learning, leveraging neural models to explore how language processing and acquisition occur. She has held roles including Assistant Professor at Tilburg University (since 2011) and Postdoctoral Fellow at Saarland University (2008-2011). Her work bridges computational linguistics, cognitive science, and artificial intelligence, with contributions to understanding language learning mechanisms through models that integrate visual, auditory, and linguistic data. Education: PhD (university unspecified), with prior academic roles in Iran and Germany. Awards: CoNLL 2017 Best Paper Award, 2023 Outstanding Paper Award, NWO Aspasia Grant (2015), and NWO Natural Artificial Intelligence Grant (2015). Her research has been supported by grants such as the Dutch National Research Agenda-funded project on interpreting deep learning models for text and sound. Research Interests: Grounded language learning, interaction effects in language acquisition, and neural model interpretability. Key areas include multi-modal learning (e.g., linking speech to visual scenes), computational modeling of child language learning, and probing neural networks for linguistic knowledge. She co-organized workshops like BlackboxNLP (2018-2020) and has authored over 60 publications, including influential works on phonology encoding in neural models and gender disambiguation in machine translation. Teaching: Courses include Cognitive Models of Language Learning , Computational Linguistics , and Language, Cognition & Computation . She advises master's theses and leads projects in data science and AI. Lab/Team: Leads research on computational modeling, collaboration with interdisciplinary teams (e.g., with Grzegorz Chrupała, Afsaneh Fazly), and involvement in initiatives like the Interpreting Deep Learning Models for Text and Sound project.

Jianwen Suمشاهده پروفایل

استاد

• Database Systems
• Formal Verification
• Web Services
• +۵ مورد دیگر

Jianwen Su is a Professor in the Department of Computer Science at the University of California, Santa Barbara (UCSB), where he has been since 1990. He holds a Ph.D. in Computer Science from the University of Southern California and B.S./M.S. degrees from Fudan University in China. His research focuses on databases, formal verification, web services, business process management (BPM), and workflow systems. He has contributed to data-centric workflow modeling, artifact-based BPM frameworks, and tools like the Web Service Analysis Tool (WSAT). Adjunct professorships at Peking, Fudan, and Donghua Universities in China. Key roles: General co-chair of ICSOC 2013, PC chair of PODS 2009, and general chair of SIGMOD 2001. Recipient of the 2000 Outstanding Faculty Award (UCSB College of Engineering) and IBM Faculty Awards (2007, 2008). Research spans database query languages, incremental query evaluation, spatial databases, and formal verification techniques for software systems. Current emphasis is on data modeling for workflows and BPM systems.

• Computer Science
• Electrical Engineering
• Machine Learning
• +۷ مورد دیگر

Andrew Ho is an active academic researcher with publications spanning computer science, electrical engineering, and interdisciplinary applications. His recent work focuses on hybridizable discontinuous Galerkin methods for plasma simulations (2024) and AI/LLM applications in scholarly knowledge organization. 2025: Project Alexandria (LLM for copyright-free knowledge) 2024: Hybridizable DG plasma methods, GPU-accelerated kinetic simulations 2023: Low-resource translation techniques 2022: Multimodal VR interfaces 2003-2006: High-speed serial link transceivers and radiography artifact detection His research interests include: Computer science applications in plasma physics and medical imaging LLM-based scholarly knowledge graphs and literature reviews High-speed communication systems Educational technology implementations Co-authors include Vladimir Stojanovic (Stanford, 2003-2005), Carl W. Werner (2003-2005), and Genia Vogman (GPU plasma simulations, 2024).

Felix Bräuerمشاهده پروفایل

استادیار

• Epistemology
• Social Epistemology
• Philosophy of Language
• +۴ مورد دیگر

Felix Bräuer serves as Assistant Professor at the Chair for Theoretical Philosophy/Philosophy of Language (Chair I) within the Department of Philosophy at the School of Humanities, University of Mannheim since 2019. Previously, he held an Assistant Professor position at Saarland University from 2018 to 2019. His academic qualifications include: PhD in Philosophy, Humboldt University (2018) Philosophy studies at University of Wuppertal Philosophy studies at UC Berkeley Dr. Bräuer specializes in epistemology with concentrated expertise in social epistemology and testimony-based justification, examining how social norms function within knowledge transmission systems. His research extends to philosophy of language through analysis of assertion mechanisms and expressivist frameworks, while maintaining active scholarly engagement with Existentialism, Phenomenology, and Aesthetics as reflected in his teaching portfolio. Methodologically, he bridges analytic philosophy with social practice theory to investigate epistemic dependence in communal contexts. Publication trends from 2017-2022 reveal consistent exploration of testimony epistemology, with major contributions addressing reductionism debates, constitutive rules of assertion, and epistemic dependence frameworks. His work demonstrates increasing integration of social norm theory with linguistic philosophy, particularly evident in the 2022 Synthese article on expressivism transparency and the 2021 monograph analyzing testimonial dependence. Core thematic threads connect practical risk assessment in testimonial communities (2017) with contemporary analyses of engagement conditions in assertion (2021).

Liu Hongyanمشاهده پروفایل

استاد

• Big data management and analysis
• machine learning
• data mining
• +۷ مورد دیگر

Professor Liu Hongyan is a full-time Professor in the Department of Management Science and Engineering at Tsinghua University's School of Economics and Management, where he has served since 1994, achieving the rank of Professor in 2011 after previously holding positions as Associate Professor (2003-2011) and Teacher. His research bridges theoretical data science with practical applications across e-commerce, healthcare, and social media platforms. Education: PhD in Management, School of Economics and Management, Tsinghua University (2001) His research focuses on big data management , machine learning , and business intelligence with specialized expertise in personalized recommendation systems , medical/financial data analysis , and computer vision applications . Recent work integrates large language models and causal inference to solve complex problems in short video platforms, live streaming, and healthcare analytics, emphasizing real-world impact through industry collaborations. Analysis of his 15 most recent publications (2023-2025) reveals a strong trajectory toward multimodal AI systems combining recommendation engines with computer vision, particularly in 3D animation for advertising and healthcare. Key trends include LLM-enhanced display advertising, emotion-aware facial animation, and medical image annotation using adversarial learning, while maintaining core contributions to behavioral data mining in social networks. Scientific recognition includes: National Archives Administration's Outstanding Scientific and Technological Achievement Award Multiple Best Paper Awards at international conferences Outstanding Doctoral Dissertation Supervisor designation from the Society for Management Science and Engineering Special Award for National Natural Science Foundation project on user behavior pattern discovery Professor Liu has secured leadership roles in major National Natural Science Foundation projects including Innovation Research Groups and international cooperation initiatives. His industry impact is demonstrated through patented recommendation systems adopted by multiple companies, particularly in personalized content delivery for live streaming and short video platforms. As an Outstanding Doctoral Dissertation Supervisor, he mentors the next generation of data science researchers. He serves as Deputy Director of Tsinghua University's Center for Artificial Intelligence and Management Research and holds key positions in national academic societies including the E-Commerce and Cyberspace Management Committee (China Management Modernization Research Association) and the Information Systems Engineering Committee (Chinese Society for Systems Engineering).

• Mathematics Education
• Interactive Multimedia in Teaching
• Educational Technology
• +۵ مورد دیگر

Marina Milovanović is a Professor at the University of Singidunum, Faculty of Informatics and Computing, Department of Mathematics. She holds dual doctoral degrees from the Faculty of Science, University of Kragujevac (Department of Mathematics, 2014) and Faculty of Entrepreneurial Business, Union University (2008), along with Master's and Bachelor's degrees from the Faculty of Mathematics, University of Belgrade (2000-2005 and 1995-2000 respectively). Faculty of Science, University of Kragujevac, Department of Mathematics (PhD, 2014) Faculty of Entrepreneurial Business, Union University (PhD, 2008) Faculty of Mathematics, University of Belgrade (Master's, 2000-2005) Faculty of Mathematics, University of Belgrade (Bachelor's, 1995-2000) Svetozar Marković High School, science and mathematics major (1991-1995) Professor Milovanović specializes in Mathematics Education and Educational Technology, with particular expertise in interactive multimedia applications for teaching mathematics. Her research consistently bridges theoretical mathematics with practical educational technology solutions, evolving from traditional multimedia approaches to incorporating cutting-edge AI and machine learning techniques. She has authored multiple books including 'Interactive multimedia in mathematics teaching' (2015) and collections of solved mathematics problems for entrance exams. Her recent publication record through 2025 demonstrates active engagement in interdisciplinary research, particularly at the intersection of educational technology, artificial intelligence, and practical applications in fields ranging from software engineering to medical diagnostics. Her work shows a clear trajectory from foundational educational technology research toward more sophisticated AI-enhanced learning systems. Professor Milovanović has made significant contributions to semantic web applications in education, particularly through Moodle LMS enhancements, and has explored SCADA applications in industrial contexts. Her collaborative research spans multiple countries and institutions, reflecting an international scholarly network. She has extensive experience developing computer tools for engineering education and has published on diverse topics including petroleum industry processes, environmental management, and financial mathematics. Her work demonstrates consistent application of computational approaches to solve domain-specific problems across multiple disciplines.

• Formal Verification
• Software Testing
• Programming Languages
• +۶ مورد دیگر

Alastair F. Donaldson is a Professor and Director of Research in the Department of Computing at Imperial College London, where he leads the FastPL research group. His academic career spans over a decade at Imperial, progressing from Lecturer (2011-2014) to Senior Lecturer (2014-2017), Reader (2017-2020), and Professor (2020-present). He has also held significant industry positions, including Founder and Director of GraphicsFuzz Ltd. (acquired by Google in 2018), Senior Software Engineer at Google (2018-2021), and Visiting Researcher at both Google and Microsoft Research Redmond. Donaldson earned his PhD from the University of Glasgow under Alice Miller, following a BSc (hons, First Class) in Computing Science and Mathematics. His postdoctoral work included an EPSRC Postdoctoral Research Fellowship at the University of Oxford and a Research Fellowship at Wolfson College Oxford. His research focuses on formal analysis, software testing and programming languages techniques for improving software reliability, with special emphasis on high-performance systems. Donaldson's work bridges theoretical foundations with practical applications, particularly in compiler testing, GPU programming verification, and metamorphic testing. His research has significantly influenced both academia and industry, as evidenced by the acquisition of his startup GraphicsFuzz by Google. Analysis of his recent publications reveals a strong focus on fuzz testing techniques applied across diverse domains including compilers, GPUs, cryptographic protocols, and large language models. His work consistently combines formal methods with practical testing approaches, addressing challenges in compiler correctness, memory models, and API verification across multiple platforms. 2017 BCS Roger Needham Award EPSRC Early Career Fellowship Best Paper Award, EuroSys 2024 Best Paper Award, MET 2021 Best Paper Award, IWOCL 2019 Best Paper Award, IISWC 2019 Best Paper Award, ICST 2016 ACM SIGSOFT Distinguished Paper Award, ISSTA 2023 ACM SIGSOFT Distinguished Paper Award, FSE 2017 ACM SIGPLAN Most Influential OOPSLA Paper Award, 2022 (for GPUVerify) As Director of Research in the Department of Computing, Donaldson oversees research strategy and development. His FastPL research group investigates novel techniques for programming, testing and reasoning about high performance systems. He has served on numerous program committees and held leadership roles including PLDI Steering Committee Chair (2022-2025) and PACM-PL Advisory Board member. His industry engagement includes testifying as an Expert Witness in the IBM UK Ltd v LzLabs GmbH & Ors case. The FastPL research group, which Donaldson leads, focuses on formal analysis, software testing and programming languages. The group has made significant contributions to compiler testing, GPU verification, and metamorphic testing techniques, with practical impact demonstrated by the acquisition of GraphicsFuzz. Current research directions include fuzzing for zero-knowledge proof circuits, randomized testing of decompilers, and systematic testing of large language models for code generation.

Duygu Yavuzمشاهده پروفایل

استادیار

• Historical Linguistics
• Turkic Dialects
• Conceptual Metaphor Analysis
• +۳ مورد دیگر

Dr. Duygu Yavuz is an Assistant Professor at Yeditepe University's Faculty of Arts and Sciences, Department of Turkish Language and Literature. Her academic journey includes a PhD in Turkish Language and Literature from Sakarya University (2011-2017), MA in Old Turkish from Mimar Sinan Fine Arts University (2009-2011), and BA in Turkish Language and Literature from the same institution (2005-2009). Education: PhD: Turkish Language and Literature, Sakarya University (2011-2017) MA: Old Turkish, Mimar Sinan Fine Arts University (2009-2011) BA: Turkish Language and Literature, Mimar Sinan Fine Arts University (2005-2009) Her research focuses on historical linguistics, Turkic dialectology, metaphorical semantics, and loanword adaptation in Old Turkish texts. She has extensively analyzed Turkic conceptual systems through light and fire metaphors, verb morphology, and reduplication patterns in folklore. Recent publications examine Harezm Turkish, Uyghur texts, and compounding mechanisms in Turkic languages. She has presented at international conferences on topics like dialectal variations and cultural symbolism in historical linguistics. Teaching Experience: Turkish Language History (EDTR 121, TLL 113) Old Turkish (EDTR 211-212, TLL 219-220) Contemporary Turkish (EDTR 261-262, TKL 201-202) Teacher Training (PTUR 402-403) Previously worked at the Turkish Ministry of National Education (2014) teaching Turkish Language and Literature. Affiliated with academic societies tracked through memberships in indexing services like TR DİZİN, MLA, and SOBIAD.

• Creative processes in conflict contexts
• Cultural transfers
• Digital humanities
• +۷ مورد دیگر

Fatiha Idmhand is a Professor at the University of Poitiers , specializing in Contemporary Hispanic Literature and Digital Humanities. She leads the Archivos CRLA team and contributes to the Multilingualism, Translation, Creation Team . Her research examines creative processes under situational constraints (wars, exiles, imprisonments), focusing on cultural transfers and digital humanities methodologies. She is currently a researcher in residence at the Musée national Picasso Paris (2023-2024). PI of 10 projects (2013-2025), including Pablo Picasso en toutes lettres (2018-present) and Archivos 3.0 (2019-2022) 2023: Deputy Coordinator, Consortium ARIANE (HumaNum) 2021-2023: President, Humanistica association Her digital humanities work integrates computer science with text analysis, developing tools like e-Man and CHispa for Hispanic manuscript digitization. She advocates for FAIR data principles in author corpus management. Major publications appear in Digital Humanities Quarterly , La Gazette des Archives , and Word and Text . She actively participates in international conferences like DH and Humanistica , with recent presentations on AI-humanities collaboration.