جست‌وجوی استاد و پژوهشگر

Pierre Monninمشاهده پروفایل

پژوهشگر

• Knowledge Graphs
• Semantic Web
• Graph Embedding
• +۴ مورد دیگر

Pierre Monnin is a Junior Fellow in AI at Université Côte d'Azur , conducting research within the Wimmics team at the I3S Laboratory . He also teaches within the EFELIA Côte d'Azur program. His work spans multiple institutions through funded projects like SHACKLE (EU Horizon), ECLADATTA and AT2TA (ANR), with collaborations at Télécom Paris , Università di Bari , and INESC-ID in Lisbon. Previous roles include temporary lecturer at TELECOM Nancy (2023-2024) and researcher at Orange (2020-2023). Research Interests focus on the knowledge graph lifecycle (construction, matching, refinement, mining, discovery) from neurosymbolic AI and analogical reasoning perspectives. He explores Domain knowledge injection into ML models Symbolic-semantics for graph embeddings Zero-shot bootstrapping techniques Context-aware semantic annotation Link prediction with constraint enrichment Life sciences applications Recent scientific awards include: Best Paper Award at ESWC 2024 (Student & Resource Papers) Best Thesis Award from French Association EGC (2022) 1st Prize (Accuracy Track) at Semantic Web Challenge (2021) His teaching portfolio covers AI fundamentals for foreign languages, marketing, and adult education programs, with specialized courses in Semantic Web technologies NoSQL databases XML tools Compiler implementation He supervises multiple PhD students and interns on topics involving neurosymbolic refinement , knowledge reconciliation , and analogical reasoning . Key software contributions include: KGPrune - Web application for thematic Wikidata subgraph extraction PyGraft - Synthetic knowledge graph generation tool DAGOBAH UI - Semantic table interpretation interface He also maintains datasets like PGxLOD and YAGO4-LP for pharmacogenomics and link prediction.

Dirk Geeraertsمشاهده پروفایل

استاد

• Lexical Semantics
• Lexicology
• Cognitive Linguistics
• +۶ مورد دیگر

Dirk Geeraerts is a full Professor of Linguistics at the University of Leuven (KU Leuven), where he has held a faculty position since 1993. He studied Germanic languages (Dutch and English) and holds a bachelor's degree in Philosophy, earning his PhD in 1981. His academic career includes professorships at the Kortrijk campus of the University of Leuven (1986–1993) and the University of Leiden (1985–1986), as well as foundational research at the Instituut voor Nederlandse Lexicologie (1977–1985). Research Focus : Geeraerts specializes in lexical semantics , lexicology , and cognitive linguistics , particularly examining social variation , diachronic change , and empirical semantic methods . His work bridges theoretical and applied lexicography, notably through his editorial role in the Van Dale Groot woordenboek van de Nederlandse taal (1995–2005). Scientific Contributions : Founded the international journal Cognitive Linguistics Co-editor of The Oxford Handbook of Cognitive Linguistics Managing editor of the Cognitive Linguistics Research monograph series Honors and Awards : 1978: L.K. Engels Award 1992: Flemish Government Award for Wat er in een woord zit 2003: Member of the Royal Academy for Dutch Language and Literature (KANTL) 2020: Matthias de Vries Medal for Dutch lexicology contributions Labs and Teams : Established the Quantitative Lexicology and Variational Linguistics (QLVL) research group at the University of Leuven, advancing empirical approaches to lexical and semantic studies.

• Database Systems
• Stream Processing
• Distributed Data Management
• +۵ مورد دیگر

Volker Markl is a Professor at Technische Universität Berlin in the Institute of Software Engineering and Theoretical Computer Science, with additional affiliations at the Berlin Institute for the Foundations of Learning and Data (BIFOLD) and the German Research Center for Artificial Intelligence (DFKI). His research spans database systems, stream processing, and distributed data management with significant contributions to both theoretical foundations and practical implementations. Markl's research interests focus on next-generation data management systems, particularly for streaming and IoT environments. His work addresses critical challenges in distributed query processing, system integration, and performance optimization. He has pioneered approaches for stream processing in volatile infrastructures and developed innovative techniques for GPU-accelerated database operations. His NebulaStream project represents a major contribution to distributed stream processing systems. His publication record demonstrates consistent impact across top database venues including VLDB, SIGMOD, and ICDE. Recent work shows increasing focus on machine learning integration with database systems, privacy-preserving query processing, and educational approaches for teaching large-scale data management. Markl has mentored numerous researchers who have become prominent in the database community, with frequent collaborators including Steffen Zeuch, Tilmann Rabl, and Philipp Grulich. His leadership extends to major research initiatives and collaborations across European institutions.

Roberto Giacobazziمشاهده پروفایل

استاد

• Theory of computation
• Programming languages
• Abstract interpretation
• +۳ مورد دیگر

Roberto Giacobazzi is a Professor at the University of Arizona specializing in theoretical computer science with a focus on abstract interpretation, program analysis, and verification. His research bridges theoretical foundations with practical applications in software security and verification systems. Dr. Giacobazzi received his Ph.D. from the University of Pisa in Italy in 1993, establishing a long-standing academic career focused on the theoretical underpinnings of program analysis. His educational background forms the foundation for his contributions to abstract interpretation theory. His primary research interests center around abstract interpretation, a theoretical framework for approximating program semantics. This work spans theory of computation , programming languages , program analysis and verification , and logic in computer science . Giacobazzi has made significant contributions to understanding completeness and precision in abstract interpretation, with applications extending to code obfuscation, security analysis, and more recently, AI fairness in legal contexts. His work demonstrates how theoretical computer science concepts can address practical software engineering challenges. An analysis of his recent publications (2022-2025) reveals a consistent research trajectory with increasing sophistication in abstract interpretation theory. His work shows a growing emphasis on completeness properties, precision limitations, and security applications. Notably, his 2024 publication on "Fairness of AI Systems in the Legal Context" indicates an expansion of his theoretical expertise into AI ethics and regulatory compliance, demonstrating the versatility of abstract interpretation frameworks. Dr. Giacobazzi has contributed extensively to major conferences in programming languages and verification, including SAS (Static Analysis Symposium), POPL (Principles of Programming Languages), and VMCAI (Verification, Model Checking, and Abstract Interpretation). His publications reflect deep theoretical insights while maintaining relevance to practical software analysis challenges. His research has significant implications for software security, particularly in code obfuscation techniques based on abstract interpretation. The systematic approach to measuring incompleteness in abstract interpretations has provided new frameworks for understanding and improving program analysis tools. His work continues to influence both academic research and practical applications in program verification and security.

• Public Law
• Constitutional Law
• Environmental Law
• +۵ مورد دیگر

Professor Simona Cristea, PhD, is a distinguished academic at the University of Bucharest’s Faculty of Law, holding a tenured position in the Public Law Department. She serves as a core faculty member contributing to academic leadership through her involvement in the Faculty’s governance bodies and research centers. Her email is simona.cristea@drept.unibuc.ro. Her research focuses on public law, environmental law, urban legal frameworks, and general legal theory. She has authored foundational texts on legal theory and jurisprudence, while also engaging with contemporary issues like sustainable development and urban planning regulations. Her work frequently bridges Romanian legal practice with comparative legal studies, particularly in European and international contexts. Professor Cristea’s recent publications highlight thematic trends in urban law jurisprudence, environmental protection mechanisms, and doctrinal analysis of legal systems. She has written extensively on administrative law procedures related to construction permits and urban development, reflecting her expertise in regulatory governance. While no scientific awards are explicitly listed, her prolific publication record and academic contributions indicate significant scholarly recognition. She is actively involved in educational initiatives such as the British Law Center and the Bucharest Pre-Moot program, fostering legal education and international collaboration. Her advisory role extends to academic programs and research centers like the Centre for Studies in Competition Law and the Human Rights Centre. She collaborates with international networks such as the Rotterdam Law Network and ELPIS, enhancing interdisciplinary legal research. Professor Cristea’s academic activities include leading seminars and workshops, as evidenced by her seminar manuals on legal doctrine and jurisprudence. She maintains strong ties with the legal profession through her participation in moot court competitions and judicial training programs.

Koushik Senمشاهده پروفایل

استاد

• Software Engineering
• Programming Languages
• Formal Methods

Koushik Sen is a Professor in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley. His research focuses on developing software tools and methodologies to enhance programmer productivity and software quality, with expertise in Software Engineering, Programming Languages, and Formal Methods. Education: B.Tech from Indian Institute of Technology, Kanpur M.S. and Ph.D. in Computer Science from University of Illinois at Urbana-Champaign Research Focus: Professor Sen pioneers automated testing techniques including concolic testing and DART (Directed Automated Random Testing). His work bridges formal methods with practical software development, emphasizing bug detection, program synthesis, and AI-driven software analysis tools. Recent innovations include machine learning approaches for code recommendation and fuzzing. Publication Trends: His recent publications (2019-2023) demonstrate strong emphasis on fuzzing techniques, program synthesis, and AI/ML applications in software engineering. Notable domains include smart contract security, automated testing, and developer tooling, with frequent collaborations in top-tier conferences. Awards and Honors: NSF CAREER Award (2008) Sloan Foundation Fellowship (2011) IFIP TC2 Manfred Paul Award (2010) Okawa Foundation Research Grant (2015) Multiple ACM SIGSOFT Distinguished Paper Awards UIUC Distinguished Alumni Educator Award (2014) Leadership: Active program committee member for premier conferences (PLDI, ICSE, ISSTA) and keynote speaker. His research is supported by NSF, Okawa Foundation, and Sloan Foundation.

Tanvir Arafinمشاهده پروفایل

استادیار

• Hardware Security
• Trusted Computing
• IoT Security
• +۴ مورد دیگر

Tanvir Arafin serves as an Assistant Professor in the Department of Cyber Security Engineering at George Mason University, where his research focuses on hardware security and trust mechanisms for emerging computing platforms. With publications in premier venues including IEEE Transactions on Very Large Scale Integration Systems, IEEE Transactions on Computers, and ACM International Conference on Computer-Aided Design, he addresses critical security challenges in next-generation systems through rigorous hardware-software co-design approaches. His research portfolio spans Hardware Security, Trusted Computing, and IoT Security, with specialized expertise in Side-Channel Attacks and Secure Hardware Design. Dr. Arafin investigates electromagnetic side-channel vulnerabilities in O-RAN networks, develops countermeasures for autonomous vehicle cybersecurity, and pioneers RRAM-based security solutions for memory-constrained devices. His work bridges theoretical security models with practical implementations, emphasizing real-world applicability in edge computing environments and autonomous navigation systems. Current projects explore machine learning integration for anomaly detection in connected vehicles and secure acceleration of cryptographic operations. Analysis of Dr. Arafin's 2022-2025 publications reveals strategic focus areas: electromagnetic fingerprinting for radio units in O-RAN (2025), spatial acceleration of Kolmogorov-Arnold Networks (2025), and NTT-based cryptography accelerators (2024). His research demonstrates consistent innovation in securing autonomous navigation systems and edge devices, with emerging work on in-memory computing architectures using resistive memory technologies. Key trends include hardware-centric defense against model inversion attacks, voltage overscaling for lightweight authentication, and robust multi-robot coordination in dynamic environments. Scientific Awards: No scientific awards, fellowships, or medals were documented in the source materials. Dr. Arafin leads significant collaborative research, including the NSF CISE-MSI grant (DP: CNS) for edge-based robust multi-robot systems. His educational initiatives feature Capture-the-Flag competitions targeting underrepresented students in cybersecurity. Current grant activities emphasize practical security solutions for autonomous navigation, multi-robot coordination, and IoT edge devices, with demonstrated focus on translating research into deployable countermeasures for real-world threats in dynamic operational environments.

Ablet Semetمشاهده پروفایل

پژوهشگر

• General Turkology
• Turkish-Chinese and Turkish-Mongolian language contacts
• Linguistic and cultural contacts among the Islamic Turkic peoples
• +۳ مورد دیگر

Dr. Ablet Semet is a researcher at the University of Göttingen specializing in Turkology with expertise in Old Turkic language and cultural contacts among Turkic peoples. His institutional affiliation centers on Central Asian linguistic studies within the university's research framework, focusing on historical interactions between Turkic communities and neighboring civilizations. His research spans General Turkology, Turkish-Chinese and Turkish-Mongolian language contacts, and Islamic Turkic cultural exchanges. Semet's work emphasizes philological analysis of primary sources including the Xuanzang biography, Buddhist texts, and folklore traditions. His methodological approach combines textual criticism with historical linguistics to reconstruct cultural transmission routes across Eurasia. Analysis of Semet's 15 most recent publications reveals consistent focus on Old Turkic manuscripts (particularly Xuanzang-related texts), Buddhist narrative traditions, and comparative studies of measurement systems in Turkic cultures. His research demonstrates interdisciplinary integration of linguistics, religious studies, and historical anthropology with strong emphasis on manuscript evidence from Turfan and Central Asian collections. No scientific awards were documented in the available information. While no student advising or grant information appears in the provided materials, Semet's extensive collaborative work with scholars like Simone-Christiane Raschmann and Jens Wilkens indicates active participation in international research networks focused on Turkic manuscript studies.

Gérard Berryمشاهده پروفایل

استاد

• Computer Science
• Lambda Calculus
• Functional Programming
• +۵ مورد دیگر

Gérard Berry (born December 25, 1948) is a distinguished French computer scientist currently serving as Professor at the Collège de France, holding the permanent chair Algorithmes, machines et langages (Algorithms, Machines, and Languages) since 2012. He previously held the Informatique et sciences numériques chair (2009-2010) and the Technological Innovation Liliane Bettencourt chair (2007-2008) at the same institution. Before joining Collège de France full-time, he served as Director of Research at INRIA Sophia Antipolis (2009-2012) and at École des Mines de Paris (1977-2001). His research spans over 30 years in three main fields: lambda calculus and functional programming, parallel and real-time programming languages, and design automation for synchronous digital circuits. He is particularly renowned for developing the Esterel programming language. His work bridges theoretical computer science with practical industrial applications. Berry's research has evolved to include current work in Hop and HipHop for Web programming, formal verification of compilers, and languages for computer music. His publications demonstrate consistent contributions to programming language theory, formal methods, and their applications in hardware and software systems. Gold Medal of CNRS (2014) Chevalier de l'Ordre de la Légion d'Honneur (2012) Member of French Academy of Sciences (2002) Member of Academia Europaea (1993) Monpetit Prize of Académie des sciences (1990) Berry has advised 17 PhD students and reviewed numerous theses. His industrial experience includes serving as Chief Scientist Officer of Esterel Technologies (2000-2009), where he directed the implementation of the Esterel v7 compiler. He has also held significant leadership roles including President of the Scientific Council of IRCAM and membership on the Scientific Council of the National Education. His teaching at Collège de France has covered topics ranging from the foundations of computation to the societal impact of digital technology, with courses including The Informatics of Time and Events and Proving Programs: Why? When? How? His laboratory work has focused on developing practical applications of theoretical computer science concepts.

Zhiyuan Liمشاهده پروفایل

استاد

• Program Analysis
• Compiler Design
• Parallel Computing
• +۶ مورد دیگر

Zhiyuan Li is a Professor in the Department of Computer Sciences at Purdue University's College of Engineering. His primary research and teaching focus on program analysis, transformation, and run-time management for high-performance computing and multicore systems, as well as reliable software for networked embedded systems. Professor Li teaches graduate-level courses including CS502: Compiling and Programming Systems and CS591RS1: Research Seminar for First-year Graduate Students. Office: LWSN 3154H Contact: li@cs.purdue.edu Phone: +1 765-494-7822 Professor Li's research spans multiple areas within computer science, with particular emphasis on compiler design, program analysis, and parallel computing. His work addresses fundamental challenges in enabling efficient execution of applications on modern parallel architectures, including multicore processors and large-scale distributed systems. He has made significant contributions to techniques for data dependence analysis, loop parallelization, array privatization, and memory optimization in compilers. His research also extends to reliable software development for embedded and sensor network systems, where resource constraints and reliability requirements present unique challenges. Professor Li's publication record demonstrates consistent contributions to top-tier conferences and journals in computer science, particularly in the areas of parallel computing, compiler optimization, and high-performance numerical methods. His work shows a progression from foundational compiler techniques to applications in scientific computing domains such as computational fluid dynamics for jet engine noise simulation. This interdisciplinary approach connects low-level program analysis with real-world engineering applications requiring petascale computing resources. Principal Investigator for NSF/PetaApps project on jet engine noise simulation Principal Investigator for Intel-sponsored research on data dependence profiling Extensive service on program committees for major conferences including ICS, PPoPP, and LCTES Professor Li has been actively involved in mentoring graduate students through research projects and course instruction. His jet engine noise simulation project specifically mentions training three Ph.D. graduate students and involving undergraduate research assistants. As coordinator for the first-year graduate research seminar, he plays a significant role in guiding new students through the transition to graduate research work in computer science. His laboratory work focuses on developing compiler techniques and runtime systems for parallel and high-performance computing. The research infrastructure includes implementations in GCC for fast data dependence profiling and support for SIMD/SSE instructions, demonstrating practical applications of theoretical compiler techniques.

Benjamin GAN Kok Siewمشاهده پروفایل

دانشیار

• Human-Machine Collaborative Systems
• Human-Computer Interaction
• Information Systems & Technology
• +۵ مورد دیگر

Benjamin GAN Kok Siew is a Full-time Faculty Associate Professor of Information Systems (Education) at the School of Computing and Information Systems (SCIS), Singapore Management University (SMU). He has held this position since 2005 and served as Academic Director of the DHL-SMU Analytics Lab (2018–2020) and NEC-SMU Solutions Lab (2016–2017). His academic journey includes a PhD in Computer Science from the University of Iowa (1995), followed by roles at the Institute of Systems Science, National University of Singapore (1997–2005), and industry experience as a software engineer in the U.S. (1990–1997). His research focuses on Human-Machine Collaborative Systems , Technology-Enhanced Learning , and Global Software Project Management . Key contributions include developing interactive learning tools like ITSS (Interactive Web-Based Programming Tutorials) and exploring climate change education through multidisciplinary approaches. He has published widely in software engineering education, capstone course design, and global teamwork pedagogy. Dr. GAN has led numerous grants, including initiatives on climate action pedagogy (2021), logistics optimization (2020), and technology-enhanced learning (2006–2019). He has received awards such as the National Day Award (2015) and Spring Singapore Merit Award (2016). His teaching spans courses like Global Software Project Management, Interaction Design, and Capstone Projects, emphasizing hands-on experience and industry alignment. Grants & Projects: DHL-SMU Analytics Lab, Vehicle Routing Problem for Cross-Docking Labs & Teams: Co-founder of DHL-SMU Analytics Lab, Collaborator in SMART (Singapore-MIT Alliance) Service Roles: Member of University Tribunal, Library Advisory Committee, and Singapore Computer Society

R. Sekarمشاهده پروفایل

استاد

• Computer Security
• Network Security
• Software Security
• +۳ مورد دیگر

R. Sekar serves as SUNY Empire Innovation Professor and Associate Chair in the Department of Computer Science at Stony Brook University, actively contributing to academic leadership and research initiatives. Education Ph.D. in Computer Science from Stony Brook University (1991) B. Tech in Electrical Engineering from Indian Institute of Technology, Madras (1986) Research Interests Professor Sekar's research focuses on practical software and systems security solutions, integrating principles from programming languages, compilers, operating systems, algorithms, networks, and artificial intelligence. His work addresses critical challenges including software vulnerability mitigation (buffer overflows, SQL injection, XSS), malware defense, high-performance intrusion detection (network and host-based), attack isolation/recovery mechanisms, self-healing systems, and distributed system monitoring. This interdisciplinary approach emphasizes building real-world systems to solve tangible security problems. Scientific Awards Chancellor's award for Excellence in Scholarship and Creative Activities (2011) SUNY Research and Scholarship Award (2006) Faculty Service award, Department of Computer Science (2002-2004) Promising Inventor Award, Research Foundation of SUNY (2003) Department Research Excellence award (2000-2002) Advising and Grants While the source text does not specify doctoral advisees or individual grant projects, Professor Sekar's sustained research productivity and award history indicate substantial external funding and mentorship activities. His leadership as Associate Chair further demonstrates institutional commitment to academic guidance. Labs and Teams Professor Sekar directs the Security Lab (SECLab) at Stony Brook University, as evidenced by his research website https://seclab.cs.sunysb.edu/sekar/ , which serves as the operational hub for his security research initiatives and team collaborations.

• Educational Inequalities
• Gender Studies
• Well-being in Education
• +۳ مورد دیگر

Prof. Maeve O'Brien holds a Professorship in Sociology and Human Development at DCU's Institute of Education (St Patrick's Campus). She previously served as Head of the School of Human Development and has extensive experience as a teacher and Home/School Liaison Coordinator in Dublin's inner city. Her academic journey spans roles in full-time research, teacher education, and curriculum development, particularly in human development frameworks for wellbeing education. Education: BEd (Initial Teacher Training) MEd (Boston University) MA in Education (UCD) PhD (Equality Studies, UCD) Research Interests: Social class and gender inequalities in education Caring relationality in pedagogical practices Well-being curriculum development (e.g., NCCA Human Development Framework) Teacher educator identity and professional praxis Critical community-building in teacher education Her work emphasizes dialogic methods for exploring professional identity and has led initiatives like the ESAI SIG on transformative pedagogies. She co-edited the Irish Educational Studies journal and initiated DCU's Faculty reading group on educator wellbeing. Grants & Collaborations: Current projects include a transnational wellbeing-teacher education initiative with the University of Florida Valencia and a book project on 'Community of Praxis' in ITE. Past collaborations include EU-funded research on childcare labor valuation and Freire-inspired pedagogy symposia. Her research outputs span wellbeing frameworks, care ethics in education, and gendered labor analyses, with a focus on bridging theory and practice in equitable educational systems.

Amy O'Connorمشاهده پروفایل

دانشیار

• Corporate Social Responsibility (CSR)
• Public Relations
• Corporate Communication
• +۵ مورد دیگر

Amy O'Connor is an Associate Professor of Strategic Communication at the Hubbard School of Journalism & Mass Communication, University of Minnesota. Her research centers on corporate social responsibility (CSR) communication, stakeholder engagement, and corporate-community relationships, particularly in extraction industries. She authored The Mine Next Door and edited the award-winning Routledge Handbook on Corporate Social Responsibility Communication (2022). Her teaching emphasizes collaborative learning, critical thinking, and community engagement. Ph.D., Purdue University (Communication) M.A., Western Michigan University (Organizational Communication) B.A., Washington State University (Mass Communication/Advertising) Research interests include CSR communication, institutionalization of CSR, stakeholder expectations, and ethnographic studies in mining communities. Recent work explores CSR in polarized and digital environments, corporate-nonprofit partnerships, and the interplay between location and CSR practices. Key article trends highlight CSR communication challenges in polarized societies, digitalization impacts, mining industry dynamics, and stakeholder behavioral intentions. Her 2025 study on SPIRIT in clinical trials bridges health communication and ethical research practices. University Honors Program Fellow (2024-2025) Recognized as most popular and influential CSR scholar (2020 bibliometric analysis) Award-winning editor of Routledge Handbook on CSR Communication (2022) Amy mentors students through the Dean's First-Year Research and Creative Scholar (DFRACS) program and supervises UROP participants. Her work integrates academic rigor with practical CSR solutions, reflecting the University of Minnesota's land grant mission.

Todd Chernerمشاهده پروفایل

استاد

• Digital Literacy
• Educational Technology (EdTech)
• Design Thinking
• +۳ مورد دیگر

Dr. Todd Cherner is a Professor in the Curriculum and Instruction Department at the UNC School of Education , University of North Carolina at Chapel Hill. With a career spanning K-12 teaching and higher education, he focuses on leveraging technology to promote equity and critical literacy. He holds a B.S. (2004) from the University of Central Florida, M.Ed. (2008) from Clemson University, and Ph.D. (2012) from the University of Tennessee. His research examines how implicit biases manifest in educational technologies and explores equitable technology integration strategies. Key areas include critical media literacy, AI ethics in education, and bridging the gap between extended reality (XR) tools and classroom practice. He has been honored with the University Teaching Awards (2022-23) for his innovative approaches. Recent work emphasizes generative AI frameworks for educators, AI literacy in teacher preparation, and immersive learning through XR. His scholarship spans over two decades, with publications in journals like Contemporary Issues in Technology and Teacher Education and International Journal of Multicultural Education . Cherner collaborates with educators to design inclusive instructional technologies and advocates for systemic reforms addressing privatized funding in education. His lab focuses on creating accessible tools that empower both teachers and students through technology.