جست‌وجوی استاد و پژوهشگر

Laura M Denzerمشاهده پروفایل

استادیار مدعو

• Visual Arts
• Contemporary Art
• Mixed Media
• +۴ مورد دیگر

Laura M Denzer is an Adjunct Assistant Professor in the Drawing, Painting Department of the School of Art + Art History at the University of Florida. She holds a BFA from the School of the Art Institute of Chicago (2011) and an MFA from the University of Florida (2017). Her practice focuses on spatial and corporeal investigations through collage, painting, and mixed media, exploring themes of memory, identity, and transformation. Denzer’s research examines how physical and abstract spaces shape personal and collective narratives. Her work often incorporates fragmented forms, architectural references, and domestic patterns to reflect on liminal states and life transitions. Recent projects address motherhood and pandemic experiences as catalysts for reimagining selfhood and temporal continuity. Her artistic output includes over 100 works across decades, with notable series from 2023-2024 featuring screenprints that blend color theory and narrative imagery. Earlier works like Arms Folded (2016) and Party Favors (2011) demonstrate her evolving engagement with material experimentation and conceptual layering. Denzer’s practice also extends to curatorial roles, including her guest editorship of Number Magazine #96: Dependency . Her creative process integrates found materials, intuitive color choices, and formal investigations to create compositions that balance rootedness and transience. Current work explores spatial fragmentation as a metaphor for life transitions, reflecting on both personal and societal upheavals.

Patrick Sturtمشاهده پروفایل

دانشیار

• Psycholinguistics
• Syntactic processing
• Language comprehension
• +۵ مورد دیگر

Patrick Sturt is a Reader in Psychology at the University of Edinburgh's School of Philosophy, Psychology and Language Sciences. His research focuses on syntactic processing in language comprehension, computational models of incremental parsing, anaphor resolution, and eye movements in reading. With over 100 publications and more than 3,300 citations, he is a recognized expert in psycholinguistics and language processing. Dr. Sturt's research interests span multiple areas of language processing. He investigates how humans comprehend sentences in real-time, with particular focus on syntactic structures, agreement phenomena, and anaphoric reference. His work often employs eye-tracking methodologies to examine the moment-by-moment processing of linguistic information. He has made significant contributions to understanding how readers handle syntactic ambiguities, garden-path sentences, and the role of prediction in language comprehension. His recent publications demonstrate a strong focus on cross-linguistic studies, particularly examining language processing in Mandarin Chinese and Korean. Many of his studies investigate how syntactic and semantic information interact during comprehension, and how linguistic structures like honorifics, classifiers, and non-canonical word orders are processed. His work bridges theoretical linguistics with experimental psycholinguistics, providing empirical evidence for models of sentence processing. Dr. Sturt actively supervises PhD students including Carine Abraham, Wenjia Cai, Chiuchou Hao, Ruomeng Zhu, and Christy Gu. He teaches Psychology of Language 1 and 2 at the MSc level, as well as Data Analysis for Psychology in R for first-year undergraduates. His teaching reflects his research expertise, providing students with both theoretical knowledge and practical analytical skills. Based in Room G29 of the Psychology Building at 7 George Square, Edinburgh, Dr. Sturt maintains regular office hours on Tuesdays from 3-4pm, providing accessibility to students and colleagues. His email address is patrick.sturt@ed.ac.uk.

• Geomechanics
• Rock Deformation
• Subsidence Modeling
• +۴ مورد دیگر

Dr. Peter Fokker is a Researcher at Utrecht University's Faculty of Geosciences, specifically within the Department of Earth Sciences and the Experimental Rock Deformation/HPT group. He is affiliated with the Research Programme in Earth Sciences Utrecht (DES/IVAU) and has been actively publishing in geomechanics, subsidence modeling, and induced seismicity for over three decades. His work primarily focuses on the application of geomechanical principles to understand and model subsurface processes related to resource extraction and geothermal energy. Dr. Fokker's research interests span several interconnected domains in geomechanics and subsurface engineering. His primary focus is on experimental rock deformation , studying how rocks behave under various stress conditions. He has made significant contributions to subsidence modeling , particularly in the context of gas field depletion in the Netherlands. His work on induced seismicity has helped understand the relationship between subsurface operations and seismic events. Additional interests include geothermal energy systems , reservoir engineering , and the application of data assimilation techniques to improve subsurface characterization. His research often bridges theoretical models with practical applications in energy resource management. An analysis of Dr. Fokker's recent publications (2020-2025) reveals a strong focus on practical applications of geomechanics to real-world challenges. His work increasingly integrates InSAR technology and data assimilation methods to monitor and model subsidence processes. There's a clear emphasis on geothermal energy applications , reflecting growing interest in sustainable energy solutions. His research also demonstrates a sophisticated approach to modeling complex reservoir behaviors across multiple scales, from laboratory experiments to field-scale operations. The interdisciplinary nature of his work is evident in collaborations spanning geology, engineering, and environmental science. Dr. Fokker has supervised multiple research projects and students throughout his career, as indicated by the "Supervised Work (4)" reference in his profile. His research has been supported by various grants focused on subsidence modeling, geomechanics of energy resources, and induced seismicity. He has been involved in significant collaborative efforts, including the Dutch National Scientific Research Program on Land Subsidence. Dr. Fokker is part of the Experimental Rock Deformation/HPT group at Utrecht University, which conducts laboratory experiments and develops theoretical models to understand rock behavior under various conditions. His work contributes to the broader research ecosystem focused on sustainable resource management and understanding subsurface processes, with particular relevance to the Dutch context of gas extraction and land subsidence.

Gunnar Blohmمشاهده پروفایل

استادیار

• Sensorimotor Neuroscience
• Clinical Medicine
• Neurology
• +۳ مورد دیگر

Gunnar Blohm is an Assistant Professor in the Department of Biomedical and Molecular Sciences at Queen's University, affiliated with the School of Medicine and Faculty of Health Sciences. His research focuses on sensorimotor neuroscience, particularly 3D sensorimotor control, eye-hand coordination, and computational modeling of neural processes. He holds a Ph.D. from Université Catholique de Louvain and has held postdoctoral positions at York University and his alma mater. Cross-appointed to the School of Computing, Department of Psychology, and Department of Mathematics and Statistics, he is also Vice-Director of the Connected Minds initiative. His research integrates behavioral experiments, brain imaging (MEG/EEG), and patient studies to understand how sensory information is transformed into goal-directed actions. Key areas include visuomotor transformations, multisensory integration, and Bayesian processes in neural computations. Blohm leads the Computational Sensorimotor Neuroscience Lab, emphasizing collaborative projects like Neuromatch Academy and contributions to open science initiatives. Affiliated with Queen's Centre for Neuroscience Studies and Ingenuity Labs, his work bridges computational approaches with clinical applications, aiming to develop frameworks for understanding brain dysfunction and clinical tools. His recent articles explore topics like saccade dynamics, pupil responses, and generative adversarial collaborations in scientific discourse.

Sheila Castilhoمشاهده پروفایل

استادیار

• Machine Translation
• Post-editing of Machine Translation
• Machine Translation Evaluation
• +۶ مورد دیگر

Dr. Sheila Castilho is an Assistant Professor at the School of Applied Language & Intercultural Studies, Dublin City University (DCU). She holds a PhD from DCU (2016) and a Master's from the University of Wolverhampton and University of Algarve. Her expertise lies in machine translation (MT), post-editing, and translation technology evaluation. She co-leads the New Trends in Translation Technology (NeTTT’22) conference and chairs DCU's Master in Translation Studies and Master in Translation Technology programs. Education: Licenciatura em Letras Inglês/Português (UNIOESTE University, Brazil) Master in Natural Language Processing (University of Wolverhampton & University of Algarve) PhD in Translation Technologies (Dublin City University) Research: Focuses on document-level MT evaluation, post-editing strategies, and user-centric MT assessment. Leads the DELA project and contributed to TraMOOC/iADAATPA initiatives. Published over 40 articles and co-edited 'Translation Quality Assessment: From Principles to Practice' (Springer, 2018). Grants & Projects: DCU PI for DELA (Document-level Evaluation) PRINCIPLE project (EU Low-resource MT) ELE (European Language Equality) initiative Labs/Teams: Active in ADAPT Centre (DCU) and collaborates with international NLP/MT communities (ACL, EMNLP, WMT).

Judy Hartمشاهده پروفایل

دانشیار

• Renewable Energy Materials
• Photocatalysis
• Solar Cells
• +۵ مورد دیگر

Associate Professor Judy Hart is a materials scientist at the School of Materials Science & Engineering, UNSW Sydney , specializing in the development of semiconducting materials for renewable energy applications. Her work integrates computational (DFT) and experimental approaches to understand composition-property relationships in systems like solid solutions , heterostructures , and doped materials for photocatalysis and solar cells . She leads projects funded by ARC Discovery and Linkage grants , including work on photo-electro-catalysis systems and stabilizing ceramic materials . Education: PhD in Materials Engineering (Monash University, 2007), BEng (Materials) (Monash, 2002) Professional Experience: Senior Lecturer (UNSW, 2017–), Lecturer (UNSW, 2013–2017), University of Bristol (2007–2012) Research Interests Her research focuses on designing materials for renewable energy , particularly photoelectrochemical water splitting and organic oxidation reactions . Key areas include Density Functional Theory (DFT) , defect engineering , band gap tuning , and nanostructured materials . She investigates ferroelectric polarization effects , metal oxide heterostructures , and stability of battery components , with applications in hydrogen production , CO2 conversion , and advanced battery materials . Scientific Awards Ramsay Memorial Fellowship (University of Bristol, 2007–2009) Teaching Contributions She is co-author of the 1st Australian & New Zealand edition of "Materials Science and Engineering: An Introduction" , and teaches courses on computational materials science , corrosion-resistant surfaces , mechanical behavior of metals , and materials design .

• Programming Language Theory
• Dependent and Refinement Types
• Computational Effects
• +۶ مورد دیگر

Danel Ahman is an Associate Professor at the Institute of Computer Science , University of Tartu , Estonia, specializing in programming language theory . His research focuses on dependent/refinement types , computational effects , and verified software . Education PhD in Theoretical Computer Science (University of Edinburgh, 2017) MPhil in Advanced Computer Science (University of Cambridge, 2012) BSc in Informatics (Tallinn University of Technology, 2010) Research Interests : Danel investigates programming languages with algebraic effects and effect handlers for verified software, exploring denotational/operational semantics and fibrational approaches to effects. His work bridges theoretical computer science with practical formal verification. Scientific Awards : Estonian Research Council grant (2025) Marie Skłodowska-Curie Fellowship (2019) PhD dissertation prize (2018) Google/Citrix dissertation awards (2012) Teaching & Supervision : He teaches courses like Logic in Computer Science and Functional Programming at the University of Tartu, and supervised BSc/MSc theses on topics including asynchronous effects and formal verification. Danel also organizes research seminars and guest lectures on F*.

• Plant Developmental Biology
• Epigenetics
• Plant Genetics
• +۵ مورد دیگر

Ueli Grossniklaus is an Ordinary Professor at the University of Zurich within the Faculty of Mathematical and Natural Sciences , affiliated with the Department of Plant and Microbiology . His work focuses on plant developmental biology, particularly epigenetic and genetic mechanisms governing reproduction and adaptation. Key Courses: Epigenetics, Plant Biology Workshop, Group Seminars on Current Research Laboratory Techniques: Advanced methods in plant cell mechanics, transcriptomics, and genome editing Research Interests span plant epigenetics, reproductive biology, and the interplay between environmental stress and genetic regulation. He investigates: Mechanistic control of gametogenesis and fertilization Epigenetic contributions to plant adaptation Evolutionary implications of asexual reproduction Biophysical forces in plant cell growth Publication Trends (2025–2018) reveal expertise in: Arabidopsis and fern model systems Epigenetic regulation (DNA methylation, histone dynamics) Apomixis and hybrid seed failure mechanisms Biomechanics of pollen tubes and carnivorous plants Genome editing tools (CRISPR) and long-read sequencing Scientific Collaborations include interdisciplinary projects on: Microfluidic devices for plant cell analysis Gene drive ecology and ethics 3D imaging of plant reproductive structures Advising and Grants focus on mentoring through research internships in developmental biology, genetics, and systems biology. His lab engages in: Epigenetic response to environmental stress Cell wall mechanics in reproduction Computational modeling of plant growth Laboratory Teams integrate plant biologists, bioengineers, and computational scientists to study: Mechanistic gene regulation Evolutionary developmental biology Microrobotics for cellular force measurement

• Behavioral Economics
• Industrial Organization
• Consumer Protection
• +۷ مورد دیگر

Botond Kőszegi is a Professor of Economics at the Faculty of Economics and Business, University of Bonn. His primary contact information includes the university email bkoeszeg@uni-bonn.de and phone number +49 228 73-60399. His research profile is prominently featured on the University of Bonn's economics department website. Kőszegi's research spans multiple areas within behavioral economics, with particular focus on how psychological factors influence market outcomes. His work examines consumer behavior in competitive markets, particularly when consumers exhibit systematic biases or misunderstandings. He has made significant contributions to understanding reference-dependent preferences, self-control problems, and how market structures interact with consumer naivete. His theoretical frameworks have important implications for consumer protection policies, especially in financial markets where consumers face complex decisions with limited attention. His publication record demonstrates consistent high-impact contributions to top economics journals including the Quarterly Journal of Economics, American Economic Review, Review of Economic Studies, and Econometrica. His recent work (2021-2025) shows increasing focus on digital markets, ecosystem competition, and the welfare implications of online steering practices. The progression of his research indicates a deepening exploration of how behavioral factors shape market outcomes across various contexts, from traditional consumer markets to emerging digital platforms. Kőszegi frequently collaborates with Paul Heidhues, with whom he has co-authored numerous influential papers. His collaborative network also includes researchers such as Matthew Rabin, Takeshi Murooka, and Philipp Strack. His work has been featured in major media outlets including the Financial Times and Zeit Online, indicating real-world policy relevance. His research program has evolved from foundational work on reference-dependent preferences to increasingly complex applications in digital markets and consumer protection. This trajectory reflects both theoretical depth and practical relevance, addressing pressing questions about how to design markets and regulations that account for realistic consumer behavior.

Thomas E. Bittnerمشاهده پروفایل

دانشیار

• Formal Ontology
• Applied Ontology
• Ontology of Space and Time
• +۳ مورد دیگر

Thomas E. Bittner serves as an Associate Professor in the Department of Philosophy at the University at Buffalo, specializing in formal and applied ontology with particular focus on spatial and temporal reasoning. His academic work bridges philosophy, computer science, and geographic information systems. His research interests encompass Formal and Applied Ontology , Ontology of Space, Time and Spatial Entities , Spatio-Temporal Reasoning , and Bio-Medical Ontology . He investigates fundamental questions about spatial relations, vagueness in geographic boundaries, and quantum-inspired models for geographic information systems, developing rigorous formal frameworks applicable to both philosophical and computational domains. His publication record demonstrates consistent engagement with cutting-edge topics in ontology, particularly exploring quantum geography concepts and computational implementations of formal ontologies. Key themes across his work include the representation of spatial vagueness, quantum-inspired geographic modeling, and verifiable computational ontology systems. Bittner holds a PhD from the Technical University of Vienna and teaches courses including Logic and Spatial Ontology. His contact information lists office location at 109 Park Hall on UB's North Campus with phone (716) 645-5149.

Pietro Ortolevaمشاهده پروفایل

استاد

• Decision Theory
• Behavioral Economics
• Experimental Economics
• +۵ مورد دیگر

Pietro Ortoleva is a Professor of Economics and Public Affairs at Princeton University , affiliated with the Department of Economics and the School of Public and International Affairs. His research spans Decision Theory , Behavioral Economics , Experimental Economics , and Political Economy , with a focus on understanding deviations from traditional economic models. Education: PhD in Economics, New York University (2009); BA in Economics, Università degli Studi di Torino (2004). Professional Roles: Coeditor of the American Economic Review (since 2021), former Editor of the Journal of Economic Theory (2018–2020), and editorial board member for multiple journals. His work investigates stochastic choice , ambiguity aversion , and reference-dependent preferences , often through incentivized experiments. Recent studies include the role of social norms in vaccine uptake , cautious utility models , and non-Bayesian belief updating . He has secured multiple National Science Foundation grants for projects on behavioral economics and decision-making under uncertainty. His 15 most recent publications reveal trends in behavioral decision theory , with emphasis on randomization preferences , time lotteries , cognitive biases , and political behavior . These studies frequently bridge economics, psychology, and public policy.

Hassan Z. Ashtianiمشاهده پروفایل

دانشیار

• Machine Learning Theory
• Privacy-Preserving Algorithms
• Gaussian Mixture Models
• +۵ مورد دیگر

Hassan Z. Ashtiani is an Associate Professor in the Department of Computing and Software within the Faculty of Engineering at McMaster University. His academic profile shows consistent engagement in both teaching and research activities, with evidence of active participation in major machine learning conferences and journals through 2025. Dr. Ashtiani's research focuses on the theoretical foundations of machine learning, with particular expertise in privacy-preserving algorithms, Gaussian mixture models, and adversarial robustness. His work bridges statistical learning theory with practical algorithm design, often addressing fundamental questions about sample complexity and computational efficiency in learning systems. A significant portion of his recent work explores the intersection of differential privacy with statistical learning, developing methods for private density estimation and distribution learning. Analysis of his publication record reveals a strong trend toward increasingly sophisticated theoretical frameworks for private and robust learning. His work consistently appears in top-tier venues including NeurIPS, ICML, COLT, and ALT, with recent contributions extending into agnostic private density estimation and robust learning with tolerance. The research demonstrates progression from foundational work on nearest neighbor search and clustering algorithms toward more complex problems in private learning of high-dimensional distributions. Dr. Ashtiani teaches across multiple levels of computer science education, including undergraduate courses in Automata and Computability (COMPSCI 2AC3) and Principles of Programming (COMPSCI 2S03), as well as graduate-level courses such as Fundamentals of Machine Learning (COMPSCI 4ML3) and Theoretical Foundations of Unsupervised Learning (CAS 775). His teaching portfolio shows consistent involvement in machine learning education since at least 2019, with evidence of teaching multiple sections each academic year. His scholarly impact is reflected in mentions across 3 news outlets, reference in 1 policy source, engagement from 7 X users, and 90 readers on Mendeley, suggesting growing recognition of his contributions to theoretical machine learning.

Anant Nyshadhamمشاهده پروفایل

دانشیار

• Development Economics
• Organizational Behavior
• Health Economics
• +۴ مورد دیگر

Anant Nyshadham is an Associate Professor of Business Economics and Public Policy at the Ross School of Business, University of Michigan. He holds positions as a Research Associate at the National Bureau of Economic Research (NBER), Affiliate of BREAD, Research Affiliate of the International Growth Centre (IGC), and J-PAL affiliated professor. He also serves as co-founder and Chief Strategy Officer of the Good Business Lab, a nonprofit promoting worker welfare initiatives. Education: BSc in Economics from the University of Pennsylvania (2006), PhD in Economics from Yale University (2012). Research focuses on enterprise dynamics, labor markets, managerial quality, and health outcomes in developing economies. Key themes include worker training, labor contracting, and the impact of environmental factors on productivity. His fieldwork spans countries like India, Kenya, Colombia, and Mexico. Recent publications analyze topics such as relational contracts in firms, health costs of energy policies, and the long-term effects of early-life interventions. He has received grants and awards for projects addressing organizational behavior and worker welfare. Labs/Initiatives: Leads research collaborations through the Good Business Lab and Ross School of Business, focusing on scalable solutions for improving labor practices and worker well-being.

Zsófia Zvolenszkyمشاهده پروفایل

دانشیار

• Philosophy of Language
• Formal Semantics
• Metaphysics
• +۴ مورد دیگر

Zsófia Zvolenszky is an Associate Professor at the Department of Logic, Institute of Philosophy, Eötvös Loránd University (ELTE). She earned her Ph.D. in Philosophy from New York University (2007) and is a Marie Curie Fellow (2016-2018). Her research focuses on the semantics of natural language, including proper names, indexicals, and modal logic, with a special emphasis on fictional discourse and relevance theory. Ph.D., Philosophy, New York University Marie Curie Fellow, Slovak Academy of Sciences Head of the Analytic Philosophy Ph.D. Program at ELTE Her recent work explores the intersection of literal and figurative meaning, particularly metaphor and malapropism, using relevance-theoretic frameworks. She has edited the Hungarian anthology Metaphor, Relevance, Meaning (2015/2016) and coordinates interdisciplinary collaborations through the Erasmus Collegium Language Research Group . Scientific awards include: Marie Curie Fellow (SASPRO, 2016-2018) She has supervised three Ph.D. students and secured two major grants: Principal Investigator, OTKA-NKFIH K-116191 (2016-2020) Senior Researcher, OTKA-NKFIH K-109456 (2013-2017)

• Computational Statistics
• Causal Inference
• Machine Learning
• +۳ مورد دیگر

Niels Richard Hansen is a Professor at the Department of Mathematical Sciences , University of Copenhagen, leading research at the intersection of Artificial Intelligence and Statistics . He co-founded the Copenhagen Causality Lab and focuses on automating causal explanation discovery from data using Bayesian networks, stochastic processes, predictive models, and machine learning. His work emphasizes creating interpretable and robust AI systems capable of generalizing across domains. His research has produced over 56 publications spanning causal inference , graphical modeling , stochastic processes , and machine learning . Recent work includes: Predictive and causal learning (2018 keynote) High-dimensional regression solutions (2016 lecture) Interdisciplinary applications in actuarial science , environmental statistics , and neuroscience He actively contributes to scientific communication through media appearances and public explanations of statistical concepts, including analyses of: Gaussian correlation inequality proofs Daylight saving time and blood clots Mathematical approaches to lotteries Climate change vs lunar effects