جست‌وجوی استاد و پژوهشگر

David Finkelsteinمشاهده پروفایل

دانشیار

• Epistemology
• Metaphysics
• Philosophy of Mind
• +۵ مورد دیگر

David Finkelstein serves as Associate Professor in the Department of Philosophy and The College at the University of Chicago. He earned his AB in philosophy and psychology from Harvard University (1984) and PhD from the University of Pittsburgh (1994). His research centers on Epistemology , Metaphysics , and Philosophy of Mind , with signature contributions to understanding self-knowledge, consciousness distinctions, and Wittgensteinian rule-following. Finkelstein's work examines how we express inner states through avowals and explores the grammatical structures governing first-person authority. Publications including Expression and the Inner (2003) and recent psychoanalytic studies reveal consistent engagement with Locke, Wittgenstein, and the interplay between language and mental phenomena. His scholarly trajectory shows deepening exploration of unconscious cognition while maintaining rigorous analytical foundations. Finkelstein teaches advanced seminars connecting philosophical concepts to wonder, magic, freedom, and personal identity, demonstrating exceptional ability to bridge historical frameworks with contemporary debates in philosophy of mind.

Hangfeng Heمشاهده پروفایل

استادیار

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

Hangfeng He is an Assistant Professor of Computer Science and Data Science at the University of Rochester , affiliated with the Hajim School of Engineering & Applied Sciences. He holds a PhD from the University of Pennsylvania and focuses on machine learning and natural language processing. His research emphasizes incidental supervision for natural language understanding, interpretability of deep neural networks, and reasoning in natural language. Education : PhD in Computer Science from University of Pennsylvania Research Interests : Machine Learning (especially deep learning theory, generalization, and optimization) Natural Language Processing (incidental supervision, language understanding, and multimodal reasoning) Reasoning (inductive biases, temporal data analysis, and model interpretability) Research Trends : His work spans foundational AI research and applied NLP, with recent focus on large language models, multimodal systems, and constraint-aware methods. He explores how models generalize from limited supervision and mitigate biases in real-world data. Key themes include improving model robustness, understanding inductive mechanisms, and applying AI to financial and social text analysis. Labs/Teams : While specific lab affiliations aren’t listed, his work aligns with the Department of Computer Science’s research clusters in AI, machine learning, and data science.

Franjo Ceceljaمشاهده پروفایل

استاد

• Systems Engineering for Energy and Industrial Applications
• Optimisation and Decision Making
• Knowledge Modelling (Ontology Engineering)
• +۳ مورد دیگر

Dr. Franjo Cecelja is a Reader in the School of Chemistry and Chemical Engineering at the University of Surrey. He holds a Dipl. Eng. from the University of Zagreb, an M.Sc. from Cranfield Institute of Technology, and a Ph.D. from Brunel University. His research focuses on systems engineering for energy and industrial applications, optimization, decision making, and semantic technologies. He has led projects such as the FP7 (Marie Curie LTN) initiative on renewable energy systems engineering (£425k, 2013–2018). His work spans ontology engineering applications in biorefining, waste valorization, and sustainable processing. Notable contributions include semantic frameworks for model and data integration in biorefineries and decision support systems for industrial symbiosis. Education: Ph.D., Brunel University (Optical Sensors for Electric Fields) M.Sc., Cranfield Institute of Technology (Control & Signal Processing) Dipl. Eng., University of Zagreb (Aerospace Technology) His research interests integrate ontology engineering with process systems engineering to address challenges in biorefining, industrial symbiosis, and sustainable resource management. Recent publications emphasize semantic technologies for waste valorization, PFAS treatment, and decision-making frameworks in biorefining. Dr. Cecelja’s FP7 project demonstrated leadership in renewable energy systems, leveraging semantic networking facilities and value chain optimization. His work bridges academic research with industrial applications, emphasizing circular economy principles and model-driven decision support. Labs/Teams: His research is conducted within the University of Surrey’s School of Chemistry and Chemical Engineering facilities, collaborating with interdisciplinary teams on biorefining and process systems engineering.

Martin Ottoمشاهده پروفایل

استاد

• Mathematical Logic
• Model Theory
• Complexity Theory
• +۴ مورد دیگر

Prof. Martin Otto is a Professor of Mathematics at the Technische Universität Darmstadt, specializing in Logic and Mathematical Foundations of Computer Science. He holds a position in the Department of Mathematics (Fachbereich 4) and serves as Dean of Studies. His academic journey includes a PhD from the University of Freiburg (1990), habilitation from RWTH Aachen (1996), and prior roles as a Lecturer/Reader at Swansea University (1999–2003). Research Interests: Mathematical Logic, Model Theory, Complexity Theory, Algorithmic Model Theory, Finite Model Theory, and Logic in Computer Science. Notable contributions include work on bisimulation, guarded logics, and inquisitive semantics. His research bridges structural properties in mathematics and computational expressiveness. Teaching: Courses span Mathematical Logic, Model Theory, Linear Algebra, and Modal Logics. Recent offerings include Introduction to Mathematical Logic (2024/25), Logic & Knowledge Representation, and advanced seminars on model-theoretic topics. Publications: Over 50 peer-reviewed papers in journals like the Journal of Symbolic Logic, and conference proceedings such as LICS and CSL. Key works address guarded fragments, bisimulation invariance, and finite model theory applications. Affiliations: Member of the Logic Group at TU Darmstadt. Editorships include the Bulletin of Symbolic Logic and Lecture Notes in Logic. Organized workshops like AlMoTh 2020 (cancelled due to pandemic) and participated in Simons Institute programs (2016).

Melanie Feinbergمشاهده پروفایل

استاد

• Data Modeling
• Critical Data Studies
• History of Information Science
• +۳ مورد دیگر

Melanie Feinberg is a Professor at the School of Information and Library Science (SILS), University of North Carolina at Chapel Hill. She specializes in data modeling, critical data studies, and the history of information science. Her research examines the human dimensions of data, blending information science, design, and humanities perspectives. She holds a BA in Humanities from Stanford University, an MIMS from UC Berkeley, and a PhD in Information Science from the University of Washington. Feinberg’s work focuses on classification systems, metadata architectures, and the design of expressive information collections. Her book Everyday Adventures with Unruly Data (MIT Press, 2022) explores how data interacts with human practices. She teaches courses like Foundations of Information Science (INLS 201), Organizing Information (INLS 520), and Metadata Architectures (INLS 720). Her research has been recognized with awards including the Marie Skłowdoska-Curie Fellowship (2019-2021) and IAH Faculty Fellowship (2018-2019). Her articles span HCI, library science, and design, addressing topics like database interactions, rhetorical design, and ethical classification systems. She has advised numerous projects on digital curation, metadata standards, and data-driven storytelling. Feinberg’s interdisciplinary approach bridges technical systems and humanistic inquiry. She actively contributes to academic discourse through her work on classification ethics, data criticism, and the role of design in shaping information systems.

Peter Jansenمشاهده پروفایل

دانشیار

• Natural Language Processing
• Artificial Intelligence
• Cognitive Science
• +۵ مورد دیگر

Peter Jansen is an Associate Professor at the University of Arizona's College of Information Science with a joint appointment at the Allen Institute for Artificial Intelligence (Ai2). He specializes in natural language processing (NLP), cognitive artificial intelligence, and automated scientific discovery. His research focuses on virtual environments for scientific reasoning, such as ScienceWorld and DiscoveryWorld, and methods for explainable AI through projects like the Explanation Bank. Education: PhD in Psychology and Neuroscience from McMaster University, and a Bachelor of Independent Studies from the University of Waterloo. His interdisciplinary background combines NLP, computer science, physics, and electrical engineering. Key projects include open-source hardware initiatives like the science tricorder (featured in over 50 media outlets and exhibited at the German Museum of Technology in Berlin) and TextWorldExpress, a text-game simulator. His work emphasizes grounding science education through sensing and developing AI systems capable of systematic reasoning and explanation generation. Current roles include advising students in automated scientific discovery and contributing to cross-listed courses in Computer Science and Linguistics. He maintains an active presence in academic outreach through teaching, conferences, and publications.

• Natural Language Processing
• Machine Learning
• Deep Learning
• +۵ مورد دیگر

Ahmed AbuRa'ed is a Researcher at the Department of Information and Communication Technologies (DTIC) at Universitat Pompeu Fabra (UPF), Barcelona. He is affiliated with the TALN research group and the Large-Scale Text Understanding Systems Lab. His work focuses on advancing knowledge in scientific text summarization, information extraction, and machine learning. Education: PhD in Computer Science (2020), UPF, Barcelona, Spain M.Sc. in Computer Science (2015), University of Trento, Italy B.Sc. in Computer Information Systems (2007), An-Najah University, Nablus, Palestine Research Interests: Natural Language Processing (NLP), Machine Learning/Deep Learning, Semantic Web, Information Extraction, Data Mining, and Scientific Document Summarization. His projects include developing systems for automatic generation of state-of-the-art reports, scientific text summarization, and cross-document relation discovery. Publications Focus: His 15 most recent articles (2016–2021) emphasize advancements in scientific literature analysis, including citation detection, text simplification, and cross-document summarization. Notable works involve systems like LaSTUS/TALN for scientific text processing and OlloBot for Arabic health dialogue agents. Labs & Teams: Active member of the TALN research group and the Large-Scale Text Understanding Systems Lab at UPF's DTIC department. Open to collaborations in NLP, Machine Learning, and related fields via email or Skype.

Tristram McPhersonمشاهده پروفایل

استاد

• Metaethics
• Normative Ethics
• Applied Ethics
• +۳ مورد دیگر

Tristram McPherson is Professor in the Department of Philosophy at Ohio State University's College of Arts and Sciences, with joint affiliations at the Center for Ethics and Human Values and Sustainability Institute. His education includes a Ph.D. from Princeton University (2008) and B.A. from Simon Fraser University (2003). Professor McPherson investigates foundational philosophical questions in ethics, particularly metaethical issues concerning moral objectivity, conceptual ethics, and normative justification frameworks. His research examines whether ethical facts can be objective features of reality and how such facts might coexist within scientific understandings of the world. Current work bridges metaethics with practical concerns including animal ethics, food ethics, and climate justice. McPherson also directs initiatives bringing philosophy to underserved communities through prison education programs and youth philosophy camps. Publications demonstrate broad methodological approaches drawing from epistemology, metaphysics, and philosophy of language to address questions about moral judgment, normative authority, and practical reasoning.

John McDowellمشاهده پروفایل

استاد

• Greek Philosophy
• Philosophy of Language
• Philosophy of Mind
• +۳ مورد دیگر

John H. McDowell is the University Professor of Philosophy at the University of Pittsburgh, holding the distinguished title of Distinguished University Professor. He joined the university in 1986 after teaching at University College, Oxford. His academic affiliations include visiting positions at Harvard University, the University of Michigan, UCLA, and Princeton University. McDowell is renowned for his work in Greek philosophy, philosophy of language, philosophy of mind, metaphysics, epistemology, and ethics. He delivered the prestigious John Locke Lectures at Oxford University in 1991. His research explores foundational questions in analytic philosophy, particularly the interplay between Kantian thought and contemporary philosophy of mind. Key themes include intentionality, perceptual experience, and the relationship between conceptual frameworks and reality. McDowell's contributions challenge traditional distinctions between mind and world, emphasizing the role of 'second nature' in shaping rational agency. Mdowell's publications reflect a deep engagement with historical and contemporary debates. Recent works highlight his exploration of naturalism within metaphysical and epistemological frameworks, blending rigor with creative reinterpretations of Kant and Sellars. His academic honors include fellowships in both the British Academy and the American Academy of Arts and Sciences. While no specific grants or advising records are detailed, his prolific scholarly output and prestigious lectureships underscore his impactful academic leadership. His CV, available as a PDF, likely contains further details on teaching, service, and collaborations.

Richard Boyceمشاهده پروفایل

دانشیار

• Clinical Decision Support Systems
• Pharmacovigilance
• Drug Interaction Analysis
• +۳ مورد دیگر

Richard Boyce is an Associate Professor in the Department of Biomedical Informatics at the University of Pittsburgh's School of Computing and Information. His work focuses on clinical decision support systems (CDSS), pharmacovigilance, and distributed knowledge bases. He leads research in drug interaction analysis, particularly involving natural products like cannabis, and develops machine learning tools for healthcare applications. His address is 530 DBMI Building, Pittsburgh, PA 15260, with contact email rdb20@pitt.edu. Boyce’s research integrates clinical and pharmacological data to improve patient safety through advanced analytics. Recent projects include predicting Alzheimer’s disease using EHR data, falls prediction in nursing homes, and optimizing CDSS modules for resource-limited settings. His team also develops open-source knowledge graphs for life sciences, enhancing data interoperability. Education: Details not explicitly listed in the provided text. Labs/Teams: Affiliated with the Department of Biomedical Informatics and School of Computing and Information at Pitt. Publications highlight his contributions to pharmacovigilance signal detection, machine learning in healthcare, and ontology engineering. Notable works include studies on cannabis-drug interactions and CDSS design for clinical practice.

Antoine Geissbuhlerمشاهده پروفایل

استاد

• Medical Informatics
• eHealth
• Telemedicine
• +۷ مورد دیگر

Antoine Geissbuhler is a Full Professor at the University of Geneva's Faculty of Medicine, Department of Radiology and Medical Informatics. He serves as Dean of the Faculty of Medicine since July 2023, following his role as Vice-Rector for Digital Strategy and Innovation. Additional leadership positions include Director of the HUG Innovation Center and Chief Physician of the eHealth and Telemedicine Department at Geneva University Hospitals (HUG), recognized as a WHO collaborating center. He also presides over BioAlps, Western Switzerland's life sciences cluster. Geissbuhler's research focuses on designing and implementing IT tools in healthcare, with emphasis on telemedicine networks and digital health strategies. His work spans global contexts including Africa, Asia, and Latin America through the RAFT project connecting hundreds of healthcare professionals across 20 countries. Key domains include maternal health monitoring, shared medication plans, AI chatbots for patient education, and digital solutions for non-communicable diseases. His publications reveal strong trends in implementation science, particularly frameworks for reporting digital health interventions (iCHECK-DH) and learning from implementation failures. WHO Collaborating Center designation for eHealth department President of BioAlps life sciences cluster (since 2022) Architect of Swiss eHealth strategy implementation Developer of RAFT telemedicine network As an educator, Geissbuhler has pioneered telemedicine training across resource-limited settings through the RAFT network. His leadership extends to digital health policy, including contributions to global standards for health information systems and ethical frameworks for health data reuse. Current initiatives emphasize patient-centered digital tools and strengthening health system resilience through technology.

• Digital Twins
• Smart Cities
• Blockchain Technology
• +۵ مورد دیگر

Noel Crespi is a Professor and Director of Studies at Telecom SudParis, part of Institut Polytechnique de Paris. He leads research in the NeSS group and is affiliated with SAMOVAR, a prominent research laboratory focusing on networks, systems, and services. His work spans multiple domains in telecommunications, networking, and smart systems. His primary research interests include digital twins for smart cities, blockchain technologies, Internet of Things (IoT) security and applications, 5G/6G networking, and machine learning applications in network management. He has published extensively on these topics, with over 100 publications in top-tier journals and conferences. His recent work shows a strong focus on digital twin applications for urban management, particularly in traffic and air quality monitoring. He has developed modular frameworks for smart city digital twins that integrate real-time data from multiple sources. His research also explores blockchain applications for network security, access control, and service provisioning in next-generation cellular networks. Dr. Crespi has received significant recognition for his work on digital twins, with his 2020 paper "Digital twin in the IoT context" in Proceedings of the IEEE being highly cited. His current research explores the integration of AI with digital twin technologies for sustainable urban development. He has supervised numerous PhD students and collaborates extensively with researchers across Europe and internationally. His work often involves interdisciplinary approaches, bringing together computer science, networking, urban planning, and environmental science. Dr. Crespi has been instrumental in developing frameworks for network digital twins, with applications in traffic management, air quality monitoring, and resource allocation in smart cities. His research demonstrates practical implementations in cities like Madrid, showing measurable improvements in urban management.

Haihua Chenمشاهده پروفایل

استادیار

• Artificial Intelligence
• Data Science
• Data Quality
• +۷ مورد دیگر

Haihua Chen is an Assistant Professor of Data Science in the Department of Information Science at the University of North Texas (UNT), with a co-affiliation in Health Informatics. They lead the Intelligent Data Engineering and Analytics (IDEA) Lab, focusing on interdisciplinary research in artificial intelligence, data science, and informatics. Chen earned a Ph.D. in Information Science (concentrating in Data Science) from UNT in 2022, an M.S. in Information Science from Wuhan University, and dual B.S. degrees in Information Science and English Literature from Central China Normal University. Research interests span applied machine learning, data quality evaluation, NLP, and informatics applications in legal and healthcare domains. Notable work includes developing frameworks for measuring scientific novelty, constructing high-quality legal and biomedical datasets, and leveraging AI for precision medicine and disaster response. Chen has secured over $499K in external grants, including NSF REU and HSI projects, and $20K+ in internal grants. Their work has been published in top journals like Journal of Informetrics , IEEE Transactions on Reliability , and Scientometrics , with a strong focus on innovation measurement and data-centric AI. Teaching includes courses on computational methods, data analysis, and AI in healthcare. Professional leadership roles include chairing ASIS&T SIG-STI and editorial roles for Journal of the Association for Information Science and Technology , Knowledge and Information Systems , and others. Awards include UNT’s Great Grads Award and the Linda Schamber Writing Award.

• Philosophy of Mind
• Philosophy of Perception
• Philosophy of Psychology
• +۴ مورد دیگر

Anders Nes is a Professor in the Department of Philosophy and Religious Studies at NTNU in Trondheim. His research focuses on philosophy of mind, perception, language, and action, with notable contributions to debates on the perception-cognition distinction and the nature of conscious inference. He has held previous affiliations including Researcher at the Center for the Study of Mind in Nature (CSMN) in Oslo, and fellowships at Oxford University's Christ Church and Balliol Colleges. Nes actively participates in academic dissemination, including panel discussions on AI ethics and digitalization. He organizes the Trondheim Philosophy of Perception Circle and teaches advanced perception seminars. His work bridges analytic philosophy with cognitive science, emphasizing phenomenological and epistemological dimensions of mental processes. Research interests include philosophical aspects of artificial intelligence, non-conceptual content in utterance comprehension, and the phenomenology of thinking. Key themes in his writing address intentional processes, modular stimulus-control in perception, and the role of consciousness in inferential reasoning. Nes' recent articles explore reasons-responsive embodied processes and the epistemic roles of perception versus cognition.

• Software Reusability
• Reverse Inheritance
• E-Learning
• +۵ مورد دیگر

Ciprian Bogdan Chirila is a Senior Lecturer at the University Politehnica of Timisoara (Faculty of Automation and Computer Science, Computing and Information Technology Department) and also teaches at Ioan Slavici University . His career spans over two decades, with roles in teaching, research, and software development. Education : PhD in Computer Science (2010, University Politehnica Timisoara & University Nice-Sophia Antipolis) Master's in Computer Science & Software Engineering (2002) Engineer Diploma in Automation & Computer Science (2001) Analyst-Programmer Diploma (1996) Research Interests : His work focuses on reverse inheritance for software reusability, generative learning objects for education, and software quality assessment using code metrics. He explores interdisciplinary applications in healthcare, mathematics education, and industrial IT services. Article Trends : Recent publications emphasize adaptive e-learning frameworks , gamification in education , and model-driven development . Key themes include automated assessment , dynamic content generation , and integration of standards like SCORM and xAPI . Scientific Awards : Microsoft Award, Student Scientific Communications Session (2001) Award, Student Scientific Communications Session (2002) Third Place, Mechanics and Robotics Contest (1998) Fourth Place, Traian Lalescu Mathematics Contest (1998) Teaching & Development : He has led laboratory sessions and lectures in Data Structures , Compiler Design , Operating Systems , and Heuristic Methods . He organizes programming contests and develops centralized materials management software as a volunteer engineer.