جست‌وجوی استاد و پژوهشگر

• Labor Economics
• Economic Policy
• Macroeconomics
• +۳ مورد دیگر

Fabien Postel-Vinay is a Professor of Economics at the Department of Economics, University College London (UCL), and concurrently serves as Research Director at the Institute for Fiscal Studies (IFS). His research focuses on labor market dynamics, unemployment, wage determination, and the interplay between economic policies and labor markets. He holds dual affiliations with UCL and IFS, contributing to both academic research and policy analysis. Postel-Vinay’s work emphasizes understanding labor mobility, wage posting mechanisms, and the impact of business cycles on employment. His recent studies address post-pandemic job opportunities, mental health effects on labor trajectories, and structural labor market analysis. He has extensively published on topics such as public versus private sector wage gaps, temporary employment dynamics, and employer-employee matching processes. His research often combines theoretical models with empirical data, focusing on macroeconomic implications of labor market policies. Key themes include the role of age in policy design during crises, the cyclical job ladder dynamics, and the measurement of employer-to-employer reallocation. Despite his prolific output, no scientific awards or grants are explicitly mentioned in the provided text. Postel-Vinay collaborates with institutions like IFS to inform policy through studies on labor market responses to economic shocks, such as the pandemic’s impact on employment structures. His work bridges theoretical microeconomics with applied policy analysis, addressing both academic and societal challenges in labor economics.

Andrew M. Olneyمشاهده پروفایل

استاد

• Natural Language Processing
• Intelligent Tutoring Systems
• Dialogue Systems
• +۵ مورد دیگر

Andrew M. Olney is Professor in both the Institute for Intelligent Systems and Department of Psychology at the University of Memphis. His work bridges artificial intelligence, cognitive science, and education, with a primary focus on natural language interfaces for learning. His educational background includes a Ph.D. in Computer Science from the University of Memphis (2006), an M.S. in Evolutionary and Adaptive Systems from the University of Sussex (2001), and a B.A. in Linguistics with Cognitive Science from University College London (1998). Dr. Olney's research centers on intelligent tutoring systems and natural language processing applications in education. His specific interests include vector space models, dialogue systems, unsupervised grammar induction, and computational representations of meaning. He has made significant contributions to conversational intelligent tutoring systems and task-oriented natural language interfaces, with particular emphasis on dyadic interaction and engagement in learning contexts. Analysis of his recent publications reveals a consistent focus on leveraging AI for educational enhancement, particularly through automated content creation, question generation, and adaptive learning systems. His work spans multiple disciplines including computer science, cognitive science, linguistics, and education, demonstrating strong interdisciplinary integration. Scientific Awards and Recognition: Best Paper Award, Proceedings of Empowering Education with LLMs (2023) Associate Editor, International Journal of Artificial Intelligence in Education (Impact Factor 4.9) Dr. Olney has been actively involved in mentoring graduate students and securing research funding. He has served as Principal Investigator on $6M of federal grants within a total of $18M in federal grant funding. His service includes former editorship of the Journal of Educational Data Mining (2017-2022) and former leadership roles as Director/Associate Director of the Institute for Intelligent Systems (2006-2017). He currently coordinates both the Cognitive Science Graduate Certificate and Undergraduate Minor in Cognitive Science at the University of Memphis. His BrainTrust project, funded by the NSF, addresses the knowledge engineering bottleneck for intelligent tutoring systems through innovative approaches to virtual student simulation and knowledge representation.

Erik Nookمشاهده پروفایل

استادیار

• Emotion Regulation
• Developmental Psychology
• Clinical Neuroscience
• +۳ مورد دیگر

Erik Nook is an Assistant Professor at Princeton University, leading the Logic of Emotion Lab . His research focuses on the interplay between language and emotion, integrating developmental, neuroscience, and translational approaches to understand emotional processes and their implications for psychological health. He holds a Ph.D. from Harvard University and is a trained clinical psychologist. Key research areas include emotion regulation strategies, neurodevelopmental bases of emotional perception, and the application of linguistic analysis to psychotherapy outcomes. His work bridges basic science and clinical practice, with particular attention to psychopathology and mental health interventions. Recipient of the APS Rising Star award, Dr. Nook advises three graduate students and maintains an active research team. His lab explores topics such as emotion differentiation in youth, neural correlates of emotional experience, and the role of language in shaping psychological resilience.

Kourosh Davoudiمشاهده پروفایل

دانشیار

• Natural Language Processing
• Machine Learning
• Deep Learning
• +۳ مورد دیگر

Kourosh Davoudi is an Associate Professor of Computer Science at Ontario Tech University's Faculty of Science. He holds a PhD in Computer Science from York University with a focus on Machine Learning and Data Mining. Prior to joining Ontario Tech in 2019, he was a postdoctoral research fellow at the University of Waterloo's Department of Management Sciences. His research interests span Natural Language Processing, Deep Learning, Reinforcement Learning, Graph Mining, and Machine Learning. He actively supervises graduate students in these areas and teaches courses such as Data Mining and Artificial Intelligence. His research emphasizes practical applications of AI techniques in areas like outbreak detection, sentiment analysis, and automated grading systems. Recent work includes innovations in neural document segmentation, vision-language models, and hybrid outbreak detection using social media data. His publications consistently address challenges in algorithm design, explainable AI, and domain-specific NLP applications. Dr. Davoudi has contributed to conferences such as COLING, EMNLP, and IEEE transactions, focusing on interdisciplinary applications of machine learning. His work bridges theoretical advancements with real-world problems in healthcare, education, and social media analysis.

Jack Mostowمشاهده پروفایل

استاد پژوهشی

• Educational Technology
• Artificial Intelligence
• Natural Language Processing
• +۳ مورد دیگر

Jack Mostow is a Research Professor affiliated with the Human-Computer Interaction Institute at Carnegie Mellon University. His work focuses on educational technology, artificial intelligence, and natural language processing. He is renowned for developing Project LISTEN's automated reading tutor that listens to children's oral reading, integrating speech recognition and machine learning to improve literacy. His research addresses challenges in child literacy, automated assessment, and the application of AI in education. Key contributions include advancing speech recognition accuracy for children’s voices, designing adaptive tutoring systems, and exploring EEG and visual features to gauge learning states. He has contributed to global education initiatives, such as the XPRIZE field study, and developed tools for iterative improvement of intelligent tutoring systems. His work emphasizes scalable educational technologies for under-resourced regions and data-driven approaches to enhance learning outcomes. Mostow’s publications span over two decades, addressing topics like reinforcement learning for instructional policies, semi-supervised affect perception, and difficulty-controllable question generation. His research bridges AI, education, and human-computer interaction, aiming to create systems that adapt to learners’ needs while advancing computational methods for educational analytics.

Nianwen Xueمشاهده پروفایل

استاد

• Machine Learning
• Natural Language Processing
• Chinese language processing
• +۴ مورد دیگر

Nianwen Xue is a Professor in the Computer Science Department and Language & Linguistics Program at Brandeis University, leading the Chinese Language Processing Group. He holds affiliations with the Michtom School of Computer Science, Benjamin and Mae Volen National Center for Complex Systems, and serves on editorial boards of Computational Linguistics and Lingua Sinica. His research focuses on computational linguistics, machine learning, and cross-linguistic meaning representations. He previously held roles at the University of Colorado and University of Pennsylvania. Education: Ph.D. in Linguistics from University of Delaware, M.A. and B.A. in Linguistics from Nankai University. Research projects include the Chinese Treebank, OntoNotes, and initiatives funded by NSF, DARPA, and IARPA. Teaching includes courses on Natural Language Systems and Computational Corpus Linguistics. He has organized major NLP conferences like CoNLL Shared Tasks and DMR workshops. Research interests emphasize semantic parsing, discourse analysis, and computational social science, with over 100 publications in top venues like ACL, EMNLP, and Computational Linguistics. His work bridges theoretical linguistics and applied NLP, advancing cross-lingual resources and formal meaning representations.

Aleksander Berentsenمشاهده پروفایل

استاد

• Blockchain Technology
• Cryptocurrencies
• Monetary Policy
• +۵ مورد دیگر

Prof. Dr. Aleksander Berentsen is a Professor of Economics at the University of Basel’s Faculty of Business and Economics, specializing in Blockchain, Cryptocurrencies, and nonconventional monetary policy. His research addresses topics like Central Bank Digital Currencies (CBDC), negative interest rates, and financial innovation. He has held visiting positions at top institutions including UC Berkeley and the University of Pennsylvania, and is a research fellow at the Federal Reserve Bank of St. Louis. Berentsen co-authored the influential book Bitcoin, Blockchain, and Cryptoassets: A Comprehensive Introduction (MIT Press, 2020), and has published extensively in journals like the American Economic Review and the Review of Economic Studies. Education: Studied at the Universities of Basel, Bern, and the London School of Economics. Key roles include advisory positions for the Swiss National Bank, ECB, and Bank for International Settlements. His work bridges theoretical economics with practical policy, particularly in digital finance and monetary systems. Research Interests: Blockchain technology, CBDC design, cryptocurrency stability, monetary policy tools (e.g., negative interest rates), and financial inclusion. He explores how decentralized systems can reshape traditional financial frameworks, with a focus on liquidity, stability, and regulatory challenges. Publications highlight his contributions to understanding cryptoasset dynamics, CBDC frameworks, and the societal implications of digital currencies. His 2020 book is widely praised as a foundational text for both academics and practitioners. Current projects include zero-knowledge proofs in blockchains and CBDC remuneration strategies. Labs/Teams: Co-founded the Center for Innovative Finance at the University of Basel to advance interdisciplinary research in fintech and digital currencies.

Barry Pryorمشاهده پروفایل

استاد

• Botany
• Plant Pathology
• Agricultural Science
• +۳ مورد دیگر

Barry Pryor is a Professor at Oregon State University (OSU), affiliated with the Department of Botany and Plant Pathology. His work focuses on agricultural botany and plant pathology, contributing to understanding plant diseases and sustainable agricultural practices. Contact: Email , Phone: 541-737-4314. Research interests span plant-pathogen interactions, crop disease management strategies, and botanical innovations in agriculture. No specific awards or publications are listed here. No advising records or grants are mentioned in the provided text. Lab affiliations or collaborative teams are not detailed.

Christian Waughمشاهده پروفایل

استاد

• Emotion Regulation
• Stress and Coping
• Resilience
• +۴ مورد دیگر

Christian Waugh serves as Professor of Psychology at Wake Forest University, based in Greene Hall 445 with contact email waughce@wfu.edu. He directs the Emotion and Motivation Lab (eMolab), as evidenced by his active research website https://emolab.psych.wfu.edu , and teaches courses within the Department of Psychology. His research centers on emotion regulation mechanisms, particularly cognitive reappraisal strategies, stress reactivity, and resilience across the lifespan. Key investigations examine how individuals maintain emotional states during stressors, the neural underpinnings of positive emotion's buffering effects, and age-related differences in recovery from adversity. His work integrates psychological, biological, and social perspectives to understand affective processing dynamics, with significant focus on temporal aspects of emotional experience and coping. Analysis of his 2023-2025 publications reveals dominant themes in reappraisal implementation phases, affective working memory, and pandemic-related stress adaptation. His methodological approach combines fMRI, physiological monitoring, ecological momentary assessment, and computational modeling to explore how positive emotions facilitate stress resilience. Notable patterns include the temporal anchoring of regulatory strategies and the differential impacts of distraction versus avoidance coping. Scientific awards: No awards were documented in the source material. Regarding academic advising and research funding, the source text provides no specific details about graduate students, grants, or sponsored projects. However, his active laboratory and extensive publication record suggest ongoing mentorship and research support activities typical of senior faculty. Waugh leads the Emotion and Motivation Lab (eMolab), which investigates neural and psychological mechanisms of emotion regulation through multiple experimental paradigms. Current research examines stressor reactivity in aging populations, virtual reality mood induction techniques, and computational models of resilience, with strong emphasis on translating findings to real-world coping applications.

Joshua J. Littleمشاهده پروفایل

پژوهشگر ارشد

• Islamic Studies
• Hadith Studies
• Quranic Studies
• +۳ مورد دیگر

Joshua J. Little serves as a Research Fellow at the Department of Jewish, Christian, and Islamic Origins within the Faculty of Religion, Culture and Society at the University of Groningen, specializing in critical analysis of early Islamic religious texts and scholarship. Education Background MPhil in Islamic Studies & History from the University of Oxford DPhil in Asian & Middle Eastern Studies from the University of Oxford Research Focus : Dr. Little's work rigorously investigates Hadith literature through its origins, transmission pathways, and regional variations, while examining early Sunni scholarly frameworks and contemporary analytical methodologies. His scholarship extends to Quranic formation studies, creating interdisciplinary bridges between Islamic Studies, Religious History, and Middle Eastern textual criticism. This research significantly advances understanding of Islamic religious tradition development through historical and philological lenses.

Jan-Willem van Groenigenمشاهده پروفایل

استاد

• Soil Biogeochemistry
• Nitrogen Cycle
• Phosphorus Cycle
• +۵ مورد دیگر

Prof. Jan-Willem van Groenigen is a full professor in the Department of Soil Biology at Wageningen University. He serves as Chair of the Editors-in-Chief of Geoderma and Subject Chair for Agriculture & Biological Sciences on Scopus's Content Selection and Advisory Board. His research focuses on soil biogeochemistry, emphasizing nitrogen and phosphorus cycles, and the role of soil fauna like earthworms in agricultural systems. He advocates for integrating natural processes with agricultural practices to enhance sustainability and mitigate climate change. Education: Not explicitly detailed in provided text, but holds a PhD in Soil Science or related field. Affiliations: Wageningen University, Geoderma leadership, Scopus CSAB. His research interests include understanding how soil organisms influence nutrient cycles in managed ecosystems, with a focus on carbon sequestration, greenhouse gas emissions, and sustainable agriculture. He has supervised 19 PhD students and over 100 MSc/BSc students, contributing to projects like phosphorus availability in manure and peat soil management. Prof. van Groenigen has received prestigious awards, including the Philippe Duchaufour Medal (2024) for integrating agricultural management with environmental science. He actively communicates research through media outlets and popular science platforms, emphasizing soil's role in global challenges.

Ottmar Etteمشاهده پروفایل

استاد

• Alexander von Humboldt studies
• Literary theory
• Francophone literature
• +۹ مورد دیگر

Ottmar Ette is Chair of Romance Literature at the University of Potsdam, Germany, where he has held a professorship since 1995. A leading scholar of Alexander von Humboldt and comparative literature, Ette has established himself as a major intellectual figure through his development of TransArea Studies and the conceptual framework of 'Lebenswissenschaft' (science of life). His academic career spans multiple continents with significant contributions to understanding the intersections of literature, globalization, and cross-cultural knowledge. Ette's research interests form a rich interdisciplinary tapestry exploring literary studies as life science , conviviality (living together), and the poetics of movement within TransArea Studies. His work examines how literary knowledge functions as essential repository of human experience, particularly regarding ethically relevant themes such as migration, belonging, and survival. The scholar has pioneered approaches to understanding literature beyond national boundaries, focusing on 'literatures without fixed abode' and the 'vectorial imagination' that transcends traditional dichotomies between national and world literature. His extensive publication record reveals consistent engagement with globalization processes across historical periods, with particular emphasis on the works of Alexander von Humboldt as a lens for understanding interconnected knowledge systems. Ette's scholarship demonstrates remarkable breadth, spanning from 18th century francophone literature to contemporary transareal literary phenomena, while maintaining focus on how literary texts generate knowledge for living in increasingly interconnected worlds. 2014 Research Award Escuela Nacional de Altos Estudios from UNAM 2014 Honorary Member of the Modern Language Association of America 2013 Ordinary Member of the Berlin-Brandenburg Academy of Sciences 2012 Chevalier dans l'Ordre des Palmes Académiques (France) 2010 Ordinary Member of the Academia Europaea 2001 Hugo Friedrich/Erich Köhler Research Award 1991 Young Scholars Award for Romance Literature 1987 Heinz-Maier-Leibnitz Award Ette has directed significant research projects including the 3-year Research Project on Humboldt's American Travel Diaries (2014-2017) and the 18-year project 'Travelling Humboldt - Science on the Move' at the Berlin-Brandenburg Academy of Sciences. He co-founded multiple DFG-funded Research Training Groups including 'lebensformen + lebenswissen' (2006), 'Zwischen Räume' (2009), and 'Sichtbarkeit und Sichtbarmachung' (2011). His editorial work encompasses founding the electronic journal HiN - Alexander von Humboldt in the Net and serving as co-editor of Iberoamericana and Istmo. As co-founder of the ForLaBB (Research Network Latin America Berlin-Brandenburg), Ette has created important institutional frameworks for transnational scholarly exchange. His academic leadership extends through organizing numerous international conferences on topics ranging from 'Caribbean(s) on the Move' to 'Conviviality in Difference,' fostering collaborative research environments that bridge disciplinary and geographical boundaries.

Donat Fähمشاهده پروفایل

استاد

• Seismology
• Geophysics
• Earthquake Engineering
• +۷ مورد دیگر

Prof. Donat Fäh is a faculty member at ETH Zurich's Institute of Geophysics, part of the Swiss Seismological Service (SED). His work focuses on advancing seismic hazard assessment and site response modeling in Switzerland and beyond. He leads interdisciplinary projects integrating geophysical surveys, machine learning, and empirical data to refine risk models for urban areas like Basel and Lucerne. Key contributions include developing the ERM-CH23 national earthquake risk framework and improving methodologies for nonlinear soil behavior analysis using KiK-net data from Japan. His research emphasizes high-resolution amplification mapping, subsurface characterization via ambient vibrations, and understanding glacial and subaqueous slope dynamics. Research interests span seismic site effects, soil mechanics, landslide stability monitoring, and the application of advanced geophysical inversion techniques. He collaborates internationally to enhance earthquake risk communication and building code compliance, particularly in low seismicity regions. Current efforts include refining 3D geophysical models for urban settings and exploring Bayesian methods for subsurface structure identification. His work bridges fundamental geophysical research with practical engineering solutions for infrastructure resilience. Advising and grants: No formal advisees or grant details are explicitly listed in the provided texts. His collaborative projects, however, suggest involvement in large-scale initiatives such as URBASIS and the Swiss strong-motion network modernization. Labs and teams: Prof. Fäh is affiliated with the Swiss Seismological Service (SED) and actively contributes to ETH Zurich’s seismic monitoring infrastructure. His team collaborates with institutions in Japan (KiK-net network) and applies cutting-edge geophysical techniques to study subglacial environments and lakebed geotechnics.

• Cellular Physiology
• Molecular Biology
• Signal Transduction
• +۳ مورد دیگر

Yukina Oshimo is a Research Fellow in the Department of Cellular & Molecular Physiology at Yale University School of Medicine. Her academic appointment focuses on advanced research within the biomedical sciences, specifically in cellular and molecular mechanisms. Affiliated with Yale School of Medicine, her work contributes to foundational understandings of physiological processes at the cellular level. While specific educational background details are not provided here, her current role indicates expertise in interdisciplinary physiological research. Research interests center on molecular interactions and cellular signaling pathways critical to physiological functions. No specific publications or grants are listed in the provided data, though her affiliation suggests involvement in cutting-edge biomedical investigations. No awards or recognitions are mentioned in the current text. Labs or teams associated with her work are not explicitly detailed, but given her departmental affiliation, she likely collaborates within Yale’s broader cellular and molecular research networks.

• Machine Learning
• Data Science
• Social Sciences
• +۷ مورد دیگر

Prof. Dr. Markus Strohmaier holds the Chair of Data Science in Economics and Social Sciences at the University of Mannheim's Business School. His research focuses on applying machine learning and data science to understand socio-economic systems and human behavior, leveraging text, relational, and emerging data types. He teaches graduate courses and supervises theses in these areas. Research interests include algorithmic fairness, behavioral analysis via computational methods, and the societal implications of AI. Notable work addresses demographic representativeness in large language models, bias mitigation in rankings, and gender gaps in blockchain adoption. His team is located at L15, 3rd floor – Room 307 in Mannheim, adjacent to the central station. Collaborations span interdisciplinary topics like social media analysis, network dynamics, and computational social science. Key contributions include developing benchmarks for neural network similarity (Resi) and frameworks for measuring algorithmic fairness perceptions (FairCeptron). Research often bridges technical innovation with societal impact, addressing ethical challenges in AI and data-driven decision-making.