جست‌وجوی استاد و پژوهشگر

• Computational Linguistics
• Psycholinguistics
• Language Processing
• +۴ مورد دیگر

Richard Futrell is an Associate Professor at the University of California, Irvine (UCI), affiliated with the Department of Language Science. He leads the Language Processing Group, focusing on computational models of human and machine language processing. His work bridges information theory, Bayesian cognitive modeling, and natural language processing (NLP) interpretability. University of California, Irvine Department of Language Science Language Processing Group leader His research examines how linguistic structures emerge from cognitive and communicative pressures. Key areas include dependency locality, surprisal theory in sentence processing, and efficiency-driven language evolution. He investigates how memory constraints, predictability, and information density shape syntactic and morphological patterns across languages. Recent publications analyze code-switching efficiency, syntactic priming, ERP component modeling, and agent-based language contact simulations. His work frequently employs Bayesian modeling, neural network analysis, and cross-linguistic corpora to uncover universal principles in language processing. ACL Best Paper Award (2024) Best Paper Award for Computational Modeling of Language (2023) Marr Prize for Best Student Paper (2017) He has developed datasets like SPACER for error repair analysis and contributed to phonotactic learning frameworks. His collaborations span cognitive scientists, computational linguists, and neuroscientists, advancing understanding of language production, comprehension, and structural optimization.

Frankie T. K. Fongمشاهده پروفایل

مدرس

• Early Childhood Social Cognitive Development
• Imitative Behaviour
• Selective Trust
• +۵ مورد دیگر

Dr. Frankie T. K. Fong is a Lecturer in Developmental Psychology at Victoria University of Wellington, New Zealand. He also holds adjunct and guest appointments at Sunway University, Malaysia, and the Max Planck Institute for Evolutionary Anthropology, Germany, alongside an honorary research role at the University of Queensland's School of Psychology. Frankie earned his PhD from the University of Queensland and specializes in early childhood social cognitive development. His research explores how children imitate behaviors, select trusted sources, and interpret normative actions across diverse social and cultural contexts. He investigates the influence of predagogical cues, social motivations, task efficiency, and digital media on social learning outcomes. His recent work examines imitation of costly rituals, cross-cultural variations in learning modes, and the role of digital screens as social partners for children. Collaborative projects span urban and indigenous communities in East and West Malaysia. Dr. Fong contributes to academic hiring and promotion rigor through initiatives like Meta-Psychology , emphasizing generalizability in psychological research. He has secured grants from the John Templeton Foundation and The Issachar Fund to explore cultural cognition and education's impact on science and religion. Though not currently available for direct supervision, he has advised PhD candidates on topics including imitation dynamics, cumulative culture, and gender norms in matrilineal and patrilineal societies.

Ditte Alexandra Winther-Lindqvistمشاهده پروفایل

استاد

• Educational Psychology
• Early Childhood Education
• Pedagogy of Care
• +۵ مورد دیگر

Ditte Alexandra Winther-Lindqvist is a Professor at the Danish Institute of Education (Aarhus University), specializing in Educational Psychology. Her work focuses on early childhood education, pedagogy of care, play theory, and grief psychology, with a strong emphasis on sustainability and ethical practices in educational settings. Research Interests: Ethics of care, pedagogy, children's wellbeing, play dynamics, grief in educational contexts, and sustainable development goals. Projects: Leads the UNESCO CHAIR initiative 'Supporting Early Years Care and Education' (2022–2027) and contributes to 'Strengthening pedagogical care in daycare institutions' (2024–2027). Scientific Awards: Recipient of the 2023 Award for best practice in School-Based Family Counseling for ‘Green transition and Worldcare in ECEC’. Collaborations: Active in international networks, including the International Society for Theoretical Psychology (ISTP) and the International Play Association, Denmark.

Tony Ingessonمشاهده پروفایل

مدرس ارشد

• Intelligence Analysis
• Counter-espionage
• Military Decision-Making
• +۴ مورد دیگر

Tony Ingesson is a Senior Lecturer in the Department of Political Science at Lund University, specializing in intelligence analysis, counter-espionage, and military decision-making. With a background in the Swedish Armed Forces where he worked with technical data acquisition for airborne weapons systems and communications, he brings practical military experience to his academic work. His research interests span intelligence analysis methodologies, counterintelligence operations, deception and manipulation at tactical levels, clandestine communications, and industrial espionage. Ingesson has developed a particular expertise in how psychological mechanisms and biases influence intelligence analysis, as well as the historical connections between military conscription and democratization. His work bridges theoretical political science with practical security applications. Analysis of his recent publications reveals a strong focus on contemporary security challenges, particularly the intersection of traditional and emerging technologies in intelligence operations. His work examines how historical communication methods persist in modern conflicts, the evolving nature of espionage in high-trust societies like Sweden, and the application of intelligence analysis techniques to non-traditional fields such as precision oncology. Ingesson demonstrates consistent scholarly output across both academic journals and public-facing platforms like The Conversation, indicating his commitment to making complex security issues accessible to broader audiences. Ingesson actively participates in interdisciplinary research projects, including 'Clandestine Communications: Old Technologies, New Opportunities' and 'Greyzone genomics' at the Pufendorf IAS. His teaching portfolio encompasses political science methods, intelligence analysis techniques, counterterrorism, and deception studies, reflecting the breadth of his expertise. While specific details about student advising aren't provided in the available information, his role as Senior Lecturer indicates involvement in mentoring students through his teaching responsibilities. His research team involvement includes collaboration with researchers like Magnus Andersson on clandestine communications and David Gisselsson Nord on the intersection of genomics and security. These collaborations demonstrate his ability to bridge disciplinary boundaries while maintaining focus on core intelligence and security issues.

Arnold Japutraمشاهده پروفایل

دانشیار

• Consumer-brand relationships
• Consumer negative behaviours
• Dark-side of brands
• +۷ مورد دیگر

Dr. Arnold Japutra is an Associate Professor of Marketing at Southampton Business School, University of Southampton. His research focuses on brand management, consumer behaviour, relationship marketing, and the adoption of emerging technologies such as AI, AR/VR, and robotics. Recognized among the Top 2% of Global Scientists, he has published in leading journals including the Journal of Business Research, European Journal of Marketing, International Marketing Review, Journal of International Management, Journal of Travel Research and Tourism Management. Dr. Japutra has held academic roles at the University of Western Australia and Universitas Indonesia, and has extensive experience in teaching, corporate training, and consulting for global organizations. His research interests include: Consumer-brand relationships Consumer negative behaviours Dark-side of brands Human-Robot interactions Adoption of new technologies (e.g., AI, AR, VR) Brand management (e.g., brand attachment, brand loyalty, brand equity) Technology adoption and consumer behaviour (e.g., impulsive and compulsive buying) Dr. Japutra's research sits at the intersection of branding, consumer psychology, and emerging technologies. His work examines how consumer–brand relationship factors drive both positive behaviors and negative ones such as impulsive buying, compulsive consumption, and trash-talking. He investigates how psychological traits shape consumer decision-making and has recently been exploring human-technology interactions with a focus on AI, robotics, AR, and VR. His publication pattern shows a clear evolution from traditional brand management topics toward increasingly technology-focused research, particularly examining the psychological impacts of AI and digital interfaces on consumer behavior. Dr. Japutra has received numerous prestigious awards, including: Stanford 2% Global Scientist Citation Rankings (2023, 2024) Business School Mid-Career Research Award, University of Western Australia (2023) Best Researcher Award, Faculty of Economics and Business, Universitas Indonesia (2023, 2022) Best paper at Journal of Hospitality and Tourism Management (2019) Best Researcher Award and Top Publication Award, Tarumanagara University (2016) Dr. Japutra is actively accepting PhD students and has extensive experience mentoring graduate researchers. His research has been supported by various grants though specific funding sources aren't detailed in the provided materials. He has also delivered corporate training and consulting services for numerous global organizations, bridging academic research with practical business applications.

Ralf Stanewskyمشاهده پروفایل

استاد

• Circadian Rhythms
• Biological Clocks
• Neurobiology
• +۳ مورد دیگر

Professor Ralf Stanewsky leads the Stanewsky Group at the Institute of Neuro- and Behavioral Biology, University of Münster. His research focuses on the molecular mechanisms of circadian rhythms in Drosophila melanogaster , particularly how environmental cues like light and temperature reset the circadian clock. The group employs genetic, molecular, histological, and behavioral approaches to study sensory pathways and their integration in central clock neurons. Member of the Multiscale Imaging Centre (MIC) and Imaging Network – Microscopy Current lab members: Ph.D. students Anna Katharina Eick, Angelica Coculla, Maia Zabel Barroso Technical assistants Regina Hube and Ume Aiman Research Themes Light and temperature synchronization of circadian clocks Temperature compensation mechanisms in biological timing Neuronal integration of environmental signals Evolutionary aspects of circadian regulation Professor Stanewsky’s work spans molecular clock components (e.g., cryptochromes, timeless gene variants) to broader ecological implications of temporal niche choice. His lab investigates how clock gene expression responds to seasonal changes and environmental stressors, while also exploring novel synchronization pathways beyond classical photoreceptors. Publication Trends Recent articles emphasize temperature-dependent clock regulation , evolutionary capacitance via Hsp90 , and non-canonical phototransduction in circadian systems. Key subfields include nuclear transport dynamics, kinase evolution, and computational modeling of periodic patterns across species. Contact Information Institute of Neuro- and Behavioral Biology, University of Münster MIC | Röntgenstraße 16, D-48149 Münster, Germany Email: stanewsky@uni-muenster.de Phone: +49 251 8321029

• Macroevolution
• Speciation
• Herpetology
• +۵ مورد دیگر

Daniel Rabosky is a Professor in the Department of Ecology and Evolutionary Biology at the University of Michigan, where he also serves as Curator at the Museum of Zoology. His research program spans macroevolution, speciation dynamics, and phylogenetic comparative methods, with particular expertise in Australian reptiles and squamate evolution. Rabosky maintains an active laboratory and is currently seeking new graduate students and postdoctoral fellows to join his research team. Rabosky's research interests focus on macroevolutionary patterns and processes, particularly the connections between microevolutionary dynamics and large-scale biodiversity patterns. His work integrates phylogenetic comparative methods with ecological and morphological data to understand speciation processes, adaptive radiations, and the evolutionary dynamics of reptile communities, especially Australian skinks. He has made significant contributions to methodological developments in evolutionary biology through software tools like BAMM (Bayesian Analysis of Macroevolutionary Mixtures) and BAMMtools for analyzing evolutionary rate heterogeneity across phylogenetic trees. Analysis of Rabosky's recent publication record reveals a strong focus on evolutionary theory, methodological development, and empirical studies of reptile diversification. His work spans theoretical macroevolution, phylogenetic comparative methods, Australian herpetology, and the connections between population-level processes and macroevolutionary patterns. The research demonstrates increasing integration of genomic data with traditional morphological and ecological approaches, reflecting broader trends in evolutionary biology. Rabosky actively mentors graduate students including Matheus Januário and Tristan Schramer, and supervises postdoctoral fellows Michael Harvey, Jonathan Mitchell, Sonal Singhal, and Rudolf von May. His laboratory receives research funding supporting multiple projects in macroevolutionary dynamics, with recent grants likely supporting work on the connections between metapopulation ecology and speciation rates, as evidenced by his 2025 Ecology Letters paper. The Rabosky Lab maintains a strong presence in both theoretical and empirical evolutionary biology, with particular strengths in phylogenetic methods development, squamate reptile evolution, and the interface between micro- and macroevolution. The lab actively collaborates with researchers across institutions and contributes to major initiatives like the openVertebrate project for 3D imaging of museum specimens.

Sophie Caronمشاهده پروفایل

دانشیار

• Neuroscience
• Neurobiology
• Sensory Systems
• +۵ مورد دیگر

Sophie Caron is an Associate Professor in the Department of Biological Sciences at the University of Utah, where she leads a research laboratory investigating fundamental mechanisms of brain function using Drosophila melanogaster as a model system. Her work focuses on how the brain generates internal representations of the external world, stores memories, and translates these into behavior through multisensory integration. Education: B.S. from Université de Montréal Ph.D. from New York University Dr. Caron's research centers on the Drosophila mushroom body—a critical brain center for learning and memory—with emphasis on multisensory integration mechanisms. Her lab investigates how the brain combines information from multiple sensory modalities (olfaction, vision, etc.) to form unified percepts, challenging traditional views of sensory processing. Key discoveries include the demonstration that mushroom body connectivity follows near-random patterns that maximize memory capacity, and the identification of cross-modal sensory pathways beyond olfaction. Current work explores evolutionary adaptations in neural circuits across Drosophila species and developmental mechanisms establishing sensory wiring. Analysis of her 15 most recent publications (2019-2024) reveals three dominant research trajectories: (1) high-resolution mapping of Kenyon cell inputs using advanced techniques like dye electroporation, (2) computational modeling of how connectivity patterns shape sensory representation and learning, and (3) evolutionary studies of circuit architecture across Drosophila species. Her work consistently bridges experimental neuroanatomy with theoretical frameworks, emphasizing the interplay between random and structured wiring principles in neural circuit design. Scientific Awards: NSF CAREER Award (2021) for research on brain size evolution and neuronal circuit adaptation Dr. Caron mentors graduate students in the University of Utah's Molecular Biology Program and directs an active laboratory utilizing genetic, imaging, and behavioral approaches. Her research program is supported by competitive grants including the NSF CAREER award, with collaborations spanning neuroscience and evolutionary biology. Current projects investigate multisensory integration mechanisms, evolutionary drivers of neural circuit specialization, and developmental basis of sensory wiring. The Caron Lab maintains specialized facilities for Drosophila neurogenetics, advanced microscopy, and behavioral analysis. Her team collaborates with the University of Utah's Brain Institute and Center for Cell and Genome Science, contributing to interdisciplinary initiatives in neural circuit mapping and evolutionary neuroscience. Ongoing work explores how sensory representations evolve in response to ecological pressures and how circuit architecture enables flexible behavior in complex environments.

Rajiv Sinhaمشاهده پروفایل

استاد

• River Science
• Fluvial Geomorphology
• Sedimentology
• +۵ مورد دیگر

Prof. Rajiv Sinha is a Professor in the Department of Earth Sciences at Indian Institute of Technology Kanpur . With a PhD from the University of Cambridge (1992), his career spans over two decades at IITK, including roles as Head of Department since 2014. Education: PhD (University of Cambridge, 1992), M.Tech (University of Roorkee, 1987), B.Sc (Patna University, 1983) Key Affiliations: Member of International Association of Sedimentologists, SEPM, Quaternary Research Association, and Indian Professional Societies Research Focus: Specializing in river science , Prof. Sinha investigates fluvial geomorphology , sedimentology , and natural hazards like Kosi floods . His work integrates remote sensing and GIS for climate change and paleoclimate reconstruction , notably studying the Ganga river system and its anthropogenic impacts . Scientific Leadership: His publications (2013-2017) reveal: Anthropocene river systems (2016) Indus Civilization paleohydrology (2017) Kosi megafan dynamics (2015) Monsoon evolution (2010, 2014) Groundwater management (2016) Awards & Recognitions: Pandit Girish Ranjan Chair Professorship (2013) National Mineral Award (2002) Alexander von Humboldt Fellowship (2000) UGC Research Fellowship (1988) University Gold Medal (1987) Collaborative Network: Partners include University of Durham , Imperial College London , and Institute du Physique de Globe, Paris . Currently leading Ganga River Basin Management studies and river science initiatives at IITK.

• Business Process Management
• Process Mining
• Complex Event Processing
• +۵ مورد دیگر

Prof. Dr. Matthias Weidlich is a faculty member at Humboldt University of Berlin within the Institute of Computer Science under the Faculty of Mathematics and Natural Sciences . His research focuses on Process Mining , Complex Event Processing , and Data Privacy with applications in Business Process Management and Scientific Workflows . Research Interests: Business Process Management and Process Mining Complex Event Processing and Stream Data Analysis Data Privacy and Security in Process Systems Scientific Workflow Systems and User Behavior Heterogeneous Network Embeddings Algorithm Design and Optimization Recent Publications (2023-2025) demonstrate expertise in: Efficient stream processing techniques Privacy-preserving process mining frameworks Scientific workflow analysis tools Graph neural network applications Multi-modal data integration Adaptive querying systems Contact: Office: Unter den Linden 6, 10099 Berlin Phone: 030 2093-41277 Email: matthias.weidlich@hu-berlin.de Web: hu.berlin/data

Mikail Rubinovمشاهده پروفایل

استادیار

• Network Neuroscience
• Computational Neuroscience
• Brain Connectivity
• +۴ مورد دیگر

Mikail Rubinov serves as Assistant Professor of Biomedical Engineering (primary appointment), Computer Science, Psychiatry, and Psychology at Vanderbilt University's School of Engineering. His interdisciplinary work bridges computational neuroscience, network science, and clinical applications. His research focuses on integrative statistical models of large-scale neural data , exploring brain network organization across species and scales. Key interests include evolutionary principles of brain networks, transcriptomic basis of neural individuality, information transfer in neural systems, and neuropsychiatric connectivity phenotypes. The Rubinov Lab develops computational frameworks for analyzing complex neural systems and integrates neuroscientific knowledge with multi-omics data. Recent publications reveal strong trends in network neuroscience methodology development (circular analysis frameworks, unbiased sampling techniques) and translational applications (epilepsy networks, autism spectrum connectomics, gut-brain axis interrogation). His work increasingly incorporates transcriptomic data with neuroimaging at biobank scale. NIH Grant Writing Workshop (June 2022) NIH Workshop Short Talks (April 2023) Rubinov actively mentors graduate and undergraduate students across Biomedical Engineering and Computer Science. His lab maintains collaborations with UCSF, HHMI Janelia Research Campus, Weizmann Institute, and international neuroscience consortia. Current projects include integrative models of large-scale neural data and transcriptomic basis of neural individuality. The Rubinov Lab operates within Vanderbilt's Department of Biomedical Engineering with extensive cross-school collaborations. Technical resources include GitHub repositories for constraint network models (cnm-code), volumetric segmentation (voluseg), and brain connectivity toolboxes.

Coen Teulingsمشاهده پروفایل

استاد

• Labor Economics
• Macroeconomics
• Urban Economics
• +۶ مورد دیگر

Prof. Coen Teulings is a Professor of Economics at Utrecht University's Department of Economics, part of the Law, Economics, Governance and Organisation faculty. He holds concurrent roles as a Fellow at CEPR, IZA, and CES-Ifo. Previously, he served as Professor of Economics at the University of Cambridge (2013–2017) and part-time Professor at the University of Amsterdam (2004–2017). His professional history includes seven years as President of the Netherlands Bureau for Economic Policy Analysis (CPB), CEO of SEO Economic Research (2004–2006), and Director of the Tinbergen Institute (1998–2004). Teulings earned a Master's degree in Economics (cum laude, 1985) and a PhD (1990) from the University of Amsterdam. He has advised governmental and international bodies, including the Dutch House of Commons Economic Advisors and the UK's Office for Budget Responsibility. His research focuses on labor economics, macroeconomics, urban economics, and policy analysis, with notable work on minimum wages, income inequality, and secular stagnation. He co-edited the 2014 E-book on Secular Stagnation with Richard Baldwin. Teulings' recent publications address topics like agglomeration effects, urban retail dynamics, and wealth distribution. He contributes to policy debates through roles on the AFM Capital Markets Committee and supervisory boards of institutions like the Boekmanstichting. His ancillary activities include a biweekly column in the Financial Daily (FD) and academic governance roles in the Netherlands and Europe.

Mark A. Wolfsonمشاهده پروفایل

استاد مدعو

• Accounting
• Finance
• Taxation and Business Strategy
• +۴ مورد دیگر

Mark A. Wolfson is an Adjunct Professor at Stanford University’s Stanford Graduate School of Business, where he has served since 1977. He previously held the Dean Witter Professor title and served as Associate Dean and Acting Dean. His academic roles include teaching at Harvard Business School (1988–1989) and the University of Chicago (1981–1982), and visiting scholar positions at MIT Sloan School of Management and Stanford’s Hoover Institution. He is also a Research Associate at the National Bureau of Economic Research since 1988. Education: PhD in Accounting, University of Texas at Austin, 1977 Master of Accounting Science (MAS), 1974 Bachelor of Science (BS), University of Illinois, 1973 Research Interests: Dr. Wolfson focuses on financial structures, incentive arrangements in organizations, taxation’s role in business strategy, and the impact of information disclosures on financial markets. His recent work explores philanthropy ecosystems, private equity dynamics, and strategic impact investing. He emphasizes interdisciplinary approaches linking accounting, finance, and public policy. Key Awards and Recognition: Wildman Medal (1991) Notable Contribution Award to Accounting Literature (1989, 1992) Distinguished Teaching Award from Stanford GSB (1990) Pomerance Prize (CBOE) for Options Research (1981) Professional Activities: Founder and Managing Partner of Jasper Ridge Partners Senior Advisor to Oak Hill Capital Management Advisor to the William and Flora Hewlett Foundation’s Investment Committee Board Member of Stanford’s Knight-Hennessy Scholars Program Executive Committee Member of the Stanford Institute for Economic Policy Research He advises on philanthropy and investment management, blending academic rigor with real-world finance practice. His work bridges theoretical frameworks and practical applications in capital markets and nonprofit strategy.

Johan Chuمشاهده پروفایل

استادیار

• Management Science
• Organizational Behavior
• Strategy
• +۵ مورد دیگر

Johan Chu is the Sarofim Family Career Development Assistant Professor and an Assistant Professor of System Dynamics at the MIT Sloan School of Management. His research focuses on the dynamics of social power, corporate advantage, and competitive strategies in the digital age. He explores how technological advancements reshape markets, inequality, and organizational structures. Chu holds dual PhDs: a PhD in Physics (Artificial Life) from Caltech (1990s) and a later PhD in Management & Organizations from the University of Michigan Ross School of Business. Prior to academia, he consulted in the U.S., Korea, and China; led enterprise software ventures; and managed a global executive search firm's Asia-Pacific Consumer Practice. His research streams include: 1) durable dominance of firms/ideas; 2) mass attention direction via technology; and 3) evolving work/organizational power in the 21st century. Empirical methods include simulations, large datasets, social network analysis, machine learning, and qualitative interviews. His work bridges physics-inspired computational models with social science theory, addressing topics like scientific collaboration decline, corporate governance shifts, and elite dynamics. Recent insights highlight slowed scientific progress in large fields and the strategic role of attention economies.

• Materials Science
• Geotechnical Engineering
• X-ray Computed Tomography
• +۵ مورد دیگر

Dr Yulai Zhang is a researcher in the Department of Materials Physics at the Australian National University . His work focuses on advanced imaging techniques for material and geological analysis. Expertise: X-ray micro-computed tomography (μCT), pore-scale and multiscale modeling, coal seam and ore characterization Collaborations: International partnerships in coal bed methane, mineral liberation, and rock failure analysis His research applies 4D/X-ray tomography to study dynamic processes in copper ores, shale, and coal, including fragmentation, diffusion, and fracture networks. Recent publications highlight innovations in super-resolution imaging , feature extraction methods , and in-situ studies of mineral behavior under stress. Dr Zhang actively supervises students and contributes to ore beneficiation, CO2 geo-sequestration, and unconventional reservoir characterization. Collaborative projects involve institutions in Australia and Indonesia, with a focus on digital rock physics and microstructural evolution .