جست‌وجوی استاد و پژوهشگر

Jeffrey R. Brownمشاهده پروفایل

پژوهشگر

• Economics of Aging
• Public Economics
• Behavioral Economics
• +۷ مورد دیگر

Jeffrey R. Brown is a Researcher at the University of Illinois Urbana-Champaign , affiliated with the College of Business and the Department of Finance . His work spans Economics of Aging and Public Economics , focusing on retirement planning, pension systems, annuity demand, and behavioral finance. His research examines trends in retirement income choices, including studies on TIAA participants and defined contribution plans. He investigates behavioral impediments to annuity valuation, the impact of complexity on financial decisions, and the role of default options in shaping retirement behaviors. His work also addresses fiscal policy, public pension underfunding, and state-level economic challenges. Jeffrey R. Brown’s recent publications analyze topics such as endowment spending rules, pension liability discounting, and the interplay between personality traits and financial distress. While his articles often use empirical data from retirement plans, longitudinal surveys, and corporate governance contexts, he has not been explicitly recognized for scientific awards in the provided texts. He has collaborated on grants like NB19-10: Annuity Demand by Defined Contribution Plan Participants , and his work intersects with policy design, financial regulation, and social security analysis.

ZIYA TOKمشاهده پروفایل

دانشیار

• Translation Studies
• French Language Teaching
• Computer-Assisted Translation
• +۳ مورد دیگر

ZIYA TOK is an Associate Professor in the Department of French Translation and Interpreting at Kırıkkale University's Faculty of Humanities and Social Sciences. His academic focus lies in translation studies, particularly French-Turkish translation, and the teaching of French as a foreign language. His educational background includes: Undergraduate and Graduate: French Translation and Interpreting, Kırıkkale University Doctorate: French Language Education, Hacettepe University Professor Tok's research spans translation technology, terminology management, and the pedagogy of foreign language teaching. He investigates challenges in translating specialized texts (e.g., forestry, banking, and poetry) and the role of computer-assisted tools in translation. His work also addresses discourse analysis in translation, particularly reported speech, and the integration of translation in language education curricula. The following list highlights his primary research areas: Translation Studies French Language Teaching Computer-Assisted Translation Machine Translation Terminology Discourse Analysis in Translation Analysis of his recent publications (2020-2025) reveals a strong emphasis on practical translation problems between French and Turkish, with a growing interest in technological solutions. His work bridges theoretical translation studies with applied linguistic challenges in the Turkish context, particularly in the development of terminology resources and pedagogical methods for translation education. A comprehensive review of the available information did not reveal any mentions of scientific awards, fellowships, or major honors received by Professor Tok. While Professor Tok's role as a faculty member likely involves student supervision, the provided text does not specify any current or past students, nor does it detail any research grants he may have secured. There is no indication in the source material of any laboratory affiliations, research centers, or collaborative teams led by Professor Tok.

Ivan Bratkoمشاهده پروفایل

استاد

• Machine Learning
• Knowledge-Based Systems
• Qualitative Modelling
• +۵ مورد دیگر

Ivan Bratko is a Professor of Computer Science at the University of Ljubljana's Faculty of Computer and Information Science. He founded the Artificial Intelligence Laboratory in 1985 and served as its head until 2017, remaining an active member. Until 2002, he also directed the AI group at the Jožef Stefan Institute. His academic journey includes B.Sc., M.Sc., and Ph.D. degrees in electrical engineering and computer science, all from the University of Ljubljana. Bratko's research spans machine learning, knowledge-based systems, qualitative modeling, intelligent robotics, heuristic programming, and computer chess. His work focuses on learning from noisy data, combining learning with qualitative reasoning, constructive induction, Inductive Logic Programming, and applications in medicine and dynamic system control. He has authored over 200 scientific papers and influential books including Prolog Programming for Artificial Intelligence (third edition, 2001), KARDIO: A Study in Deep and Qualitative Knowledge for Expert Systems (MIT Press, 1989), and Machine Learning and Data Mining: Methods and Applications (Wiley, 1998). His publication portfolio demonstrates consistent contributions to AI, with recent work emphasizing argument-based machine learning, qualitative modeling applications, and medical AI systems. These publications reveal strong interdisciplinary connections between theoretical AI and practical applications in environmental science, healthcare, and robotics. Fellow of the European Coordinating Committee for Artificial Intelligence (ECCAI) Member of the Slovene Academy of Arts and Sciences (SAZU) Former editorial board member of Artificial Intelligence , Machine Learning , Journal of AI Research , and other leading journals Co-founder and first chairman of the Slovenian AI Society (SLAIS) Bratko has secured numerous research projects including ARRS programs on artificial intelligence (2009-2020), the PARKINSCHECK project for Parkinson's disease detection, and European projects like X-MEDIA and XPERO. His laboratory serves as the central hub for AI research at the University of Ljubljana, fostering collaborations across medical, environmental, and industrial domains. He has mentored numerous researchers and maintained active collaborations through visiting positions at institutions including Edinburgh University, University of New South Wales, and Delft University of Technology.

Emanuel Kitzelmannمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Neurosymbolic AI
• +۴ مورد دیگر

Prof. Dr. Emanuel Kitzelmann is a Professor of Applied Artificial Intelligence at Brandenburg University of Technology and Scientific Director of the AI Laboratory since 2023. His work bridges classical symbolic AI and modern machine learning, with a focus on integrating Large Language Models (LLMs) with structured knowledge bases like knowledge graphs and ontologies to enable reliable, explainable AI. He co-leads the SCALE-C research project on secure AI content generation for cybersecurity and directs the SmartRetrieve project on GraphRAG for campus chatbots. University: Brandenburg University of Technology Department: Computer Science and Media Rank: Professor His research spans hybrid neurosymbolic AI, inductive program synthesis, and robotics as AI application areas. Recent publications explore hallucination mitigation in LLMs, RAG techniques, and AI educational tools. He actively collaborates with industry partners like membraPure and REMINE GmbH, supervising student projects in cybersecurity, chatbots, and image-based analysis. Key initiatives include workshops on machine learning with ZF Getriebe Brandenburg and program committee roles for ECAI 2025 and IJCLR 2025.

Alexis Blouëtمشاهده پروفایل

پژوهشگر ارشد

• Constitutional Law
• State Theory
• Human Rights
• +۷ مورد دیگر

Alexis Blouët is a CNRS Research Fellow at the Institute of Legal and Philosophical Sciences of the Sorbonne (ISJPS - UMR 8103), affiliated with Paris 1 Pantheon-Sorbonne University. His scholarly work bridges constitutional theory, political science, and area studies with a regional focus on the Middle East and North Africa, particularly examining constitutional transitions and legal frameworks in authoritarian contexts. Blouët completed his doctoral studies at Paris 1 Pantheon-Sorbonne University in 2018, defending his thesis titled The pre-constituent power: contribution to the study of the exercise of original constituent power based on the case of Egypt after the January 25 Revolution . His doctoral research introduced the innovative concept of 'pre-constituent power' to analyze the legal rules governing constitution-making processes, with a detailed case study of Egypt's constitutional transitions between 2011-2013. His research interests span constitutional law, state theory, human rights, law and religion, comparative law, and law and social sciences, with particular expertise in Middle Eastern and North African legal systems. Blouët's scholarly approach combines legal theory with empirical analysis of political transitions, focusing on how constitutional frameworks operate in non-democratic contexts and during revolutionary periods. Analysis of his recent publications (2021-2024) reveals a consistent focus on constitutional transitions in authoritarian contexts, with particular attention to Egypt, Lebanon, and Morocco. His work examines how legal frameworks function within authoritarian systems, the relationship between religion and constitutionalism, and the mechanisms of constitutional change in the Middle East. Blouët's scholarship demonstrates a distinctive methodological approach that blends legal theory with political analysis and area expertise. As a CNRS Research Fellow, Blouët contributes to the ILF-GERJC research team at ISJPS, where he participates in interdisciplinary projects examining legal frameworks in the Middle East. His scholarly contributions represent an important bridge between European legal theory and Middle Eastern constitutional developments, offering nuanced analyses of how constitutional principles operate in complex political environments.

Jasper Goselingمشاهده پروفایل

دانشیار

• Differential Privacy
• Network Coding
• Optimization Problem
• +۴ مورد دیگر

Jasper Goseling is an Associate Professor at the Digital Society Institute and affiliated with the Mathematics of Operations Research department. His research spans differential privacy, network coding, optimization, and wireless systems, often bridging theoretical and applied domains. Key research areas: Differential Privacy, Network Coding, Optimization, Wireless Sensor Networks, Machine Learning His recent work focuses on robust optimization techniques for local differential privacy, addressing trade-offs between data utility and privacy preservation. Earlier contributions include studies on energy-efficient data collection in sensor networks, caching strategies in wireless environments, and entropy-based analysis of hydrothermal systems. Article trends reveal a strong emphasis on privacy-preserving algorithms (2022-2024) and historical expertise in network coding, queueing theory, and thermodynamic entropy. His research integrates mathematical rigor with practical applications in wireless communication and data management. Activities include organizing the 45th Symposium on Information Theory and Signal Processing (2025) and leadership roles in the IEEE Benelux Chapter on Information Theory (Chair, 2017; Member, 2012-2017). He also contributed to the 2015 European School of Information Theory.

• Healthcare Informatics
• Software Engineering
• Data Interoperability
• +۴ مورد دیگر

Herwig Mayr is a Professor at the University of Applied Sciences Upper Austria, affiliated with the Research Center Hagenberg AIST (Applied Information Systems and Technology). His research bridges healthcare informatics, software engineering, and educational innovation, with a strong focus on practical applications in the Austrian healthcare sector. Research Focus: Healthcare IT systems interoperability (IHE standards, radiology data exchange) Telemedicine frameworks for clinical workflows Innovative pedagogical methods in software engineering education Sustainable ICT solutions and cross-platform accessible interfaces Recent Projects: KIMBO (2015-2016): Collaborative medical board systems for tumor diagnosis WIRE (2013-2014): Radiology image prefetching workflows for ELGA IHE-FIT (2011-2012): Intelligent feedback systems in telehealth Publication Trends: His recent works (2013-2018) demonstrate a consistent focus on healthcare data interoperability standards, telemedicine infrastructure in Austria, and experimental teaching methodologies using tools like LEGO® Serious Play™ for software engineering education.

• Exercise Physiology
• Altitude/Hypoxic Training
• Sports Medicine
• +۷ مورد دیگر

Professor Michael Hamlin serves as a full Professor in the Department of Tourism, Sport & Society at Lincoln University, New Zealand, where he directs the Sport and Exercise Science Laboratory and chairs the Environment, Society and Design Research Committee. His academic leadership spans over two decades with continuous appointments since 1999. Hamlin specializes in exercise physiology with world-renowned expertise in altitude/hypoxic training applications. His interdisciplinary research bridges elite athletic performance (including work with British & Irish Lions rugby and Olympic triathletes) and health outcomes for sedentary populations and chronic disease patients. Key research domains include concussion mechanisms in rugby, blood flow restriction training, and physiological adaptations to hypoxic environments. His work directly informs altitude training guidelines for elite sporting organizations globally. As a triple Fellow of the American College of Sports Medicine, European College of Sport Science, and Sport and Exercise Science New Zealand, Hamlin maintains significant editorial roles including Frontiers in Sports and Active Living. His research impact extends through media engagement with major publications and broadcasts, plus strategic partnerships with High Performance Sport New Zealand and national sporting bodies. Current projects examine hypoxic basketball training, concussion biomechanics, and protein supplementation effects on aging populations. Fellow of the American College of Sports Medicine Fellow of the European College of Sport Science Fellow of Sport and Exercise Science New Zealand Hamlin actively supervises PhD candidates investigating blood flow restriction, rugby head impacts, and pediatric physical activity while maintaining robust industry partnerships including the Asia Pacific Football Academy development. His leadership in negotiating the Athlete Friendly Tertiary Network memorandum demonstrates commitment to balancing elite athletic and academic development. Current research directions focus on hypoxic conditioning mechanisms, rugby safety innovations, and translational applications of exercise physiology across the human performance spectrum.

• Human-Computer Interaction
• Social Neuroscience
• Information Theory
• +۵ مورد دیگر

Juan Carlos Farah serves as both a Scientific Collaborator and Lecturer at the Fribourg School of Engineering and Architecture, part of the University of Applied Sciences and Arts of Western Switzerland (HES-SO). His academic appointments indicate an active role in both research and teaching within the institution's engineering and technology programs. Dr. Farah holds a PhD in Robotics, Control, and Intelligent Systems from the École Polytechnique Fédérale de Lausanne (EPFL), a Master of Science in Computing from Imperial College London, and a Bachelor of Arts in Economics from Harvard University. This interdisciplinary background spans computer science, engineering, and economics, providing a strong foundation for his current research endeavors. His research focuses on the intersection of human-computer interaction, social neuroscience, and information theory, with particular emphasis on how artificial intelligence with anthropomorphic traits affects human behavior and learning. Farah has made significant contributions to educational technology, especially in the development and evaluation of conversational agents for learning environments. His work examines how chatbots and large language models can be effectively integrated into educational contexts to support students while maintaining pedagogical integrity. An analysis of his recent publications reveals a strong trajectory in human-AI interaction within educational settings, with increasing focus on large language models since their emergence. His research spans multiple dimensions of educational technology including code review systems, computational thinking development, and the psychological impacts of technology on learners. The interdisciplinary nature of his work connects computer science, cognitive science, and educational theory. While no specific scientific awards are mentioned in the provided documentation, Dr. Farah's research has been published in reputable journals and presented at significant international conferences in educational technology and human-computer interaction. His research methodology combines both qualitative and quantitative approaches, often conducting controlled experiments with student populations to evaluate the effectiveness of educational technologies. Farah frequently collaborates with colleagues from multiple institutions, suggesting strong interdisciplinary research networks. His work appears to focus on practical applications of technology in real educational settings rather than purely theoretical investigations. Dr. Farah's research program appears centered around developing frameworks and tools for educational technology, with particular attention to how conversational agents can be designed to support specific learning objectives. His TRACE model for educational chatbot design and work on code review notebooks represent structured approaches to integrating AI technologies into pedagogical practices while addressing the unique challenges of educational contexts.

• Tax Law and Policy
• International Taxation
• Theoretical Tax Design
• +۴ مورد دیگر

Chris William Sanchirico serves as the Samuel A. Blank Professor of Law, Business, and Public Policy at the University of Pennsylvania Carey Law School, where he also co-directs the Center for Tax Law and Policy. His academic career is distinguished by rigorous interdisciplinary work that bridges legal analysis with economic theory and mathematical modeling. Sanchirico's research program demonstrates remarkable breadth while maintaining methodological rigor. His primary focus lies in tax law and policy with dual emphasis on contemporary international issues and theoretical tax design. His methodology reflects the eclecticism demanded by modern legal analysis, employing mathematical models, sophisticated statistical methods, and deep institutional analysis. A unifying feature across his diverse body of work is its critical, often skeptical appraisal of how mathematical models and techniques are applied to legal issues. The trajectory of Sanchirico's scholarly output reveals evolving focus areas within tax policy. His recent work has concentrated on international tax challenges including digital services taxation, global minimum tax frameworks, and the complex issues surrounding foreign-derived intangible income. His articles consistently demonstrate how theoretical tax principles intersect with practical policy implementation challenges faced by multinational corporations and tax authorities. Sanchirico's scholarly impact is evidenced by his ranking as #14 among U.S. tax professors in the 2024 Google Scholar H-Index with an H-Index of 25. This recognition places him among the most influential tax scholars in the United States, reflecting both the quality and impact of his research contributions to the field. As Co-Director of the Center for Tax Law and Policy, Sanchirico plays a significant role in shaping contemporary tax discourse. His work frequently informs policy debates, as evidenced by his public commentary on issues such as the Biden administration's proposals for corporate foreign income taxation and Senator McConnell's approaches to pandemic recovery incentives. His research bridges academic rigor with practical policy relevance, making substantial contributions to both scholarly and policy conversations in tax law.

Hiram Smithمشاهده پروفایل

استاد

• Sociolinguistics
• Historical Linguistics
• African American English
• +۳ مورد دیگر

Professor Hiram Smith serves in the Department of Spanish within Bucknell University's College of Arts and Sciences, specializing in the intersection of language, race, and systemic discrimination through sociolinguistic and historical linguistic frameworks. His research focuses on stigmatized dialects including African American English and Palenquero (a Spanish-based Creole from Colombia), demonstrating their systematic grammatical structures despite social prejudice. Smith examines how linguistic misunderstandings perpetuate discrimination in education and legal systems, using pedagogical examples like the 'be eating' construction in African American Vernacular English to illustrate real-world consequences of dialect bias. Through decade-long fieldwork on Palenquero speakers, he documents how cultural blending creates rule-governed language systems, challenging notions of linguistic 'correctness' while advocating for broader understanding of dialect diversity across contexts including Pennsylvania Dutch and global language influences.

• Mathematical Biology
• Computational Modeling
• Biophysics
• +۳ مورد دیگر

Sabine Fischer is a Professor for Supramolecular and Cellular Simulations at the University of Würzburg’s Center for Computational and Theoretical Biology (CCTB). She holds a PhD in Mathematics from the University of Nottingham (2009) and completed postdoctoral research at the University of Cambridge (2009-2011) and the University of Frankfurt (2011-2017). Her work focuses on mathematical modeling and data-driven simulations of biological processes across subcellular, multicellular, and multi-tissue scales. Key research areas include agent-based modeling of parasite collective behavior (e.g., Project 7 of SPP 2332 PoP), cell-cell interactions, and morphological modeling with Blender. Her group develops tools for image analysis and applies methods ranging from classical statistics to machine learning. Education: Diploma in Mathematics, University of Würzburg PhD in Mathematical Biology, University of Nottingham (2009) Professional Experience: Postdoc, University of Cambridge (2009-2011) Postdoc, University of Frankfurt (2011-2017) Development Engineer, h.a.l.m. Elektronik GmbH (2017-2018) Professor, University of Würzburg (since 2018) Her research integrates experimental data with computational models to study processes like mouse blastocyst differentiation, tissue-level organization, and parasitic locomotion. Current projects emphasize agent-based modeling of Trypanosoma collective behavior and the development of open-source tools like VESNA for 3D vessel analysis.

• RFID Technology
• Internet of Things (IoT)
• Wireless Sensor Networks
• +۳ مورد دیگر

Luca Catarinucci is affiliated with the University of Salento in Lecce, Italy. His research focuses on RFID technology, IoT systems, wireless sensor networks, and antenna design. He has collaborated extensively with researchers like Riccardo Colella and Luciano Tarricone, producing impactful work in smart healthcare systems, energy-autonomous sensors, and 3D-printed electromagnetic devices. His contributions span theoretical advancements in circuit design and practical applications in fields like environmental monitoring and biomedical research. Recent work emphasizes energy-efficient solutions and integration of AI-driven microcontrollers. Key research interests include improving RFID tag performance, developing IoT-aware architectures for healthcare, and advancing additive manufacturing techniques for antenna prototyping. His publications reflect a deep engagement with both hardware innovation and system-level integration of smart technologies. Notable projects include energy-autonomous parking sensors and novel RFID-based medical monitoring systems. Collaborations involve cross-disciplinary efforts in electrical engineering, computer science, and biomedical engineering, with applications ranging from industrial automation to personalized healthcare solutions. While no formal awards are listed, his prolific publication record and repeated funding of experimental platforms indicate significant academic influence.

Lorraine Liمشاهده پروفایل

استادیار

• Natural Language Processing
• Machine Learning
• Commonsense Reasoning
• +۴ مورد دیگر

Lorraine Li is an Assistant Professor in the Department of Computer Science at the University of Pittsburgh, affiliated with the Interdisciplinary Science Program (ISP) and the School of Computing and Information. She holds a PhD from the University of Massachusetts Amherst (2022) and conducted postdoctoral research at AI2's Mosaic team. Her work focuses on NLP, machine learning, and socially responsible AI systems. Education: PhD in Computer Science (UMass Amherst, 2022) Research explores evaluation frameworks for commonsense knowledge, model interpretability, and ethical AI applications in domains like education and law. Key interests include probabilistic models, long-tail reasoning, and geographic robustness in LLMs. Recent publications address confirmation bias in reasoning chains (ACL 2025), geographically diverse prompting (CVPR 2024), and uncommon scenario reasoning (NAACL 2024). She co-organized the AAAI 2024 Make symposium and serves on committees for ACL, EMNLP, and NAACL. Grants: Pitt Cyber funding (2024) Lab: Pitt NLP Seminar group

Christian Meilickeمشاهده پروفایل

پژوهشگر

• Artificial Intelligence
• Knowledge Graphs
• Ontology Matching
• +۵ مورد دیگر

Christian Meilicke is a Researcher at the Data and Web Science Group (DWS) within the School of Business Informatics and Mathematics at the University of Mannheim. His work focuses on artificial intelligence, ontology matching, and knowledge graph completion, with recent contributions to rule-based methods and their applications in business process modeling. He is heavily involved in teaching, coordinating courses such as 'Modeling Business Processes' and 'Artificial Intelligence.' His research interests include the integration of open and structured knowledge, probabilistic reasoning frameworks, and improving the efficiency of knowledge base systems. He has explored topics like inductive logic programming, automated debugging of ontologies, and the use of Markov Logic Networks for root cause analysis in IT systems. In terms of trends, his recent publications emphasize combining symbolic rule-based approaches with machine learning for knowledge graph tasks, such as activity recommendation and link prediction. He also investigates explainability in embeddings and temporal forecasting in knowledge graphs. His work often bridges theoretical advancements with practical applications in business informatics and data integration. No scientific awards have been explicitly mentioned. Christian has advised no formal students listed here but has contributed to teaching and mentoring through his courses and tutorials. His research and teaching are closely tied to the DWS Group, which focuses on data-centric AI and semantic technologies.