جست‌وجوی استاد و پژوهشگر

Natalia Umanskyمشاهده پروفایل

پژوهشگر ارشد

• Computational Social Science
• Political Communication
• International Relations
• +۴ مورد دیگر

Natalia Umansky serves as a Postdoctoral Research Fellow in Political Science at the University of Zurich's Faculty of Arts and Social Sciences, affiliated with the Institute of Political Science and the Digital Democracy Lab within the Digital Society Initiative (DSI). Her institutional profile highlights interdisciplinary engagement across DSI's Cybersecurity, Democracy, and Digital Humanities communities. Academic Background: PhD in Politics and International Relations (defence pending) from University College Dublin Iseult Honohan Scholar at University College Dublin's Connected_Politics Lab Her research pioneers Computational Social Science methodologies to analyze social media ecosystems, specializing in securitization theory applications to digital political communication. Current projects examine agenda-setting constellations in financial policy, hate speech detection frameworks, and TikTok's impact on youth political engagement. Methodologically, she integrates network analysis, natural language processing, and comparative case studies to investigate how security narratives propagate across digital platforms and influence democratic processes. Publication trends reveal a strategic evolution from foundational work on terrorism-migration linkages (2016) toward cutting-edge examinations of AI moderation systems (2024) and generative AI's role in security discourse (2025). Her scholarship consistently bridges political theory, data science, and platform governance with emphasis on empirical validation of computational models. Scientific Recognition: Iseult Honohan Scholar (University College Dublin) As a core member of Zurich's Digital Democracy Lab, Umansky contributes to high-impact collaborative projects analyzing digital threats to electoral integrity and developing transparency standards for algorithmic governance. Her work positions her at the forefront of computational political science, with emerging leadership in establishing methodological best practices for social media analysis in security contexts.

Yvonne Hallessonمشاهده پروفایل

دانشیار

• Subject Literacy
• Reading Development
• Writing Development
• +۴ مورد دیگر

Yvonne Hallesson is an Associate Professor and Senior Lecturer in Swedish at Uppsala University's Department of Nordic Languages, where she serves as Director of Studies for postgraduate education. Her research centers on subject literacy, focusing on students' reading and writing development through school texts across disciplines. Her academic qualifications include: Associate Professor of Swedish, Uppsala University (2021) Senior Lecturer in Swedish Language, Uppsala University (2019–present) Senior Lecturer in Didactics with focus on Swedish, Uppsala University (2016–2019) PhD in Language Didactics, Stockholm University (2015) Licentiate in Educational Science, Stockholm University (2011) Master of Education in Swedish and English, Stockholm University of Education (1999) Hallesson investigates the relationship between language and learning, particularly how students develop subject-specific literacy through text work in social sciences and other disciplines. Her research examines reading comprehension strategies, writing development, and the integration of national minority languages in educational contexts. She analyzes how text properties affect learning across different school subjects and student demographics. Her recent publications reveal consistent focus on subject literacy development, with particular attention to reading comprehension in social sciences and representation of national minority languages in textbooks. Her work demonstrates strong methodological emphasis on discourse analysis and classroom-based research, often involving collaborative teacher-researcher partnerships to bridge theory and practice. Hallesson supervises doctoral students including Jim Stefansson (main supervisor) and Linnea Wenell (assistant supervisor), and mentors numerous graduate students. She has secured significant research funding from the Swedish Research Council for projects including "Läsmetoder under lupp" (2022) and the current "Building subject knowledge in text" (2025-2027). She actively contributes to academic governance as board member of the Department of Nordic Languages and the research network SMDI, and coordinates Uppsala University's subject didactic network for Swedish and Swedish as a second language. She also represents the Swedish Teachers' Association in the Language Care Group.

• Wireless Communication
• Machine Learning
• Signal Processing
• +۴ مورد دیگر

Prof. Dr. Haris Gačanin is a faculty member at RWTH Aachen University, affiliated with the Institute for Distributed Signal Processing under the College of Electrical Engineering. His research focuses on integrating machine learning with wireless communication systems, particularly in industrial IoT, edge computing, and network optimization. Current academic rank: Professor Contact: harisg@dsp.rwth-aachen.de Research Interests: Wireless systems, machine learning, signal processing, and network optimization. Key contributions include: Adaptive resource allocation in IIoT and vehicular networks AI-driven channel estimation and feedback mechanisms Security-oriented emitter identification via metric learning Federated/transfer learning for edge environments Hardware-efficient deep learning models for mmWave and THz communications Methodological Focus: Combines reinforcement learning, attention mechanisms, and robust neural architectures with practical implementations on FPGA and vehicular systems.

• Machine Learning
• Remote Sensing
• Geospatial Representation Learning
• +۳ مورد دیگر

Stefan Oehmcke is an Assistant Professor at the Machine Learning Section of the Department of Computer Science , University of Copenhagen. His research focuses on applying machine learning techniques to environmental and geospatial analysis, particularly in forest ecology, tree monitoring, and climate impact studies. Research Trends: His recent publications emphasize deep learning for LiDAR data processing, multi-modal geospatial representation, and sustainable AI practices. Key Collaborations: Frequently collaborates with researchers in environmental science, remote sensing, and climate change (e.g., Martin Brandt, Christian Igel). Applications: Develops tools for forest biomass estimation, tree mortality mapping, and urban safety analysis using satellite imagery. While no specific educational background or scientific awards are mentioned in the provided texts, Oehmcke's work demonstrates technical innovation in AI explainability and environmental monitoring, with significant contributions to journals like Remote Sensing of Environment and Nature Communications .

Arthur Trembanisمشاهده پروفایل

استاد

• Coastal and estuarine morphodynamics
• Sediment transport
• Hydrodynamics
• +۳ مورد دیگر

Arthur Trembanis is a Professor at the School of Marine Science & Policy at the University of Delaware , where he conducts interdisciplinary research in coastal and marine geoscience. His work bridges oceanography, sediment dynamics, and autonomous systems, with a focus on understanding coastal morphodynamics, hydrodynamics, and seafloor mapping. Coastal & Estuarine Morphodynamics Sediment Transport Modeling Autonomous Underwater Vehicles (AUVs) Seafloor Mapping & Geoacoustics Trembanis leads the Coastal Sediments, Hydrodynamics, and Engineering Lab (CSHEL) , which explores the intersection of marine technology and environmental science. His recent publications highlight advancements in AI-driven seafloor mapping, autonomous survey platforms, and coastal response to extreme weather. He is also active in open-source tools for geological feature detection and educational outreach. The 15 most recent papers reflect trends in machine learning for coastal geology (e.g., AI for Carolina Bay detection), autonomous robotics in marine surveys, and storm impact analysis on coastal systems. Key subfields include LiDAR processing, bedform dynamics, and multi-platform data integration for environmental monitoring. Fulbright Fellowship (University of Sydney) SERDP Project MR20-1480 (Munition mobility in estuarine environments) Follow his work via the CSHEL website , Instagram , or YouTube for fieldwork and lab updates.

Ablet Semetمشاهده پروفایل

پژوهشگر

• General Turkology
• Turkish-Chinese and Turkish-Mongolian language contacts
• Linguistic and cultural contacts among the Islamic Turkic peoples
• +۳ مورد دیگر

Dr. Ablet Semet is a researcher at the University of Göttingen specializing in Turkology with expertise in Old Turkic language and cultural contacts among Turkic peoples. His institutional affiliation centers on Central Asian linguistic studies within the university's research framework, focusing on historical interactions between Turkic communities and neighboring civilizations. His research spans General Turkology, Turkish-Chinese and Turkish-Mongolian language contacts, and Islamic Turkic cultural exchanges. Semet's work emphasizes philological analysis of primary sources including the Xuanzang biography, Buddhist texts, and folklore traditions. His methodological approach combines textual criticism with historical linguistics to reconstruct cultural transmission routes across Eurasia. Analysis of Semet's 15 most recent publications reveals consistent focus on Old Turkic manuscripts (particularly Xuanzang-related texts), Buddhist narrative traditions, and comparative studies of measurement systems in Turkic cultures. His research demonstrates interdisciplinary integration of linguistics, religious studies, and historical anthropology with strong emphasis on manuscript evidence from Turfan and Central Asian collections. No scientific awards were documented in the available information. While no student advising or grant information appears in the provided materials, Semet's extensive collaborative work with scholars like Simone-Christiane Raschmann and Jens Wilkens indicates active participation in international research networks focused on Turkic manuscript studies.

Melanie Mitchellمشاهده پروفایل

استاد

• Artificial Intelligence
• Cognitive Science
• Complex Systems
• +۴ مورد دیگر

Melanie Mitchell is a Professor at the Santa Fe Institute, where she conducts research at the intersection of artificial intelligence, cognitive science, and complex systems. Her work focuses on conceptual abstraction and analogy-making in artificial intelligence systems, seeking to understand the mechanisms that enable both human and machine intelligence. Mitchell received her PhD in Computer Science from the University of Michigan in 1990 and has held positions at numerous institutions including the University of Michigan, Los Alamos National Laboratory, the Oregon Graduate Institute, and Portland State University. Her research bridges the gap between theoretical understanding of intelligence and practical AI development. Her recent publications explore fundamental questions about AI understanding, reasoning capabilities, and the relationship between language models and world knowledge. She has developed novel evaluation frameworks for assessing analogical reasoning and abstraction in AI systems, challenging assumptions about what current AI can truly comprehend. Her work often examines the limitations of large language models while proposing pathways for more robust and human-like artificial intelligence. 2010 Phi Beta Kappa Science Book Award for "Complexity: A Guided Tour" Finalist for the 2023 Cosmos Prize for Scientific Writing for "Artificial Intelligence: A Guide for Thinking Humans" Senior Scientific Award from the Complex Systems Society Distinguished Cognitive Scientist Award from UC Merced Herbert A. Simon Award of the International Conference on Complex Systems Mitchell actively advises numerous PhD students and postdoctoral researchers, fostering the next generation of researchers in AI and complex systems. She has also developed educational resources including the popular online course "Introduction to Complexity" on Complexity Explorer. Her public outreach includes a Substack newsletter "AI: A Guide for Thinking Humans," Science Magazine columns, and the podcast series "The Nature of Intelligence."

Paul Thébergeمشاهده پروفایل

استاد

• Music Technology
• Sound Studies
• Internet and Music
• +۳ مورد دیگر

Paul Théberge is a Professor at Carleton University, cross-appointed to the Institute for Comparative Studies in Literature, Art and Culture and the School for Studies in Art and Culture (Music). He teaches graduate courses in Cultural Mediations (technologies of culture), Film Studies (sound in visual media), and Music (sound studies), reflecting his interdisciplinary academic home within Ottawa's major research institution. His research interrogates the material and cultural dimensions of sound technologies, with core expertise in music-technology-culture intersections, internet-mediated musical practices, and sonic applications in film/television. Théberge's scholarship bridges musicology, media studies, and science and technology studies, examining how recording technologies reshape creative practice and auditory experience across historical periods from analog tape to digital streaming platforms. Analysis of his 15 most recent publications reveals persistent engagement with sound's materiality—from multichannel audio histories to the embodied nature of listening—and consistent exploration of technological transitions, particularly the internet's disruption of traditional music production/distribution models. His work demonstrates deep methodological versatility spanning archival research, ethnographic observation, and creative composition. Scientific recognition includes: International Association for the Study of Popular Music (US branch, 1998) Society for Ethnomusicology (2000) While the source text doesn't specify current advising activities, his extensive editorial work (e.g., co-editing Living Stereo ) and composition output suggest significant mentorship through collaborative projects. His research has been supported through Canada Research Chair funding and industry partnerships like Sony Classical International.

• Drawing Theory
• Phenomenology in Art
• Perceptual Studies
• +۳ مورد دیگر

Deborah Harty is a Senior Lecturer in Fine Art and Director of Doctoral Programmes at the School of Design and Creative Arts, Loughborough University. Her research focuses on drawing practice as a phenomenological inquiry, exploring perception, experience, and the theoretical underpinnings of visual art. She has been a key member of the TRACEY drawing research network since 2005, serving as a journal editor and co-director of its expanded platform. Alongside collaborator Phil Sawdon, she co-founded humhyphenhum , a practice-based research duo investigating drawing processes within contemporary art contexts. Her work bridges theory and practice, emphasizing drawing’s role in generating knowledge through interdisciplinary methodologies. Notable projects include investigations into temporal traces, collaborative drawing dialogues, and hybrid digital-physical approaches. Harty’s contributions span exhibitions, catalogues, and the Journal for Artistic Research, reflecting her commitment to advancing drawing as a critical research tool. As Director of Doctoral Programmes, she oversees postgraduate research in creative arts while maintaining an active profile in international exhibitions and research networks. Her practice-led outputs emphasize the symbiotic relationship between artistic creation and scholarly inquiry.

• Information Systems
• Artificial Intelligence
• Data Visualization
• +۴ مورد دیگر

Peter McBrien is an Associate Professor in the Department of Computing at Imperial College London, affiliated with the Faculty of Engineering. He holds dual affiliations with the Distributed Software Engineering group. His research focuses on conceptual modeling, ontology engineering, database systems, and temporal data management. He has been active in advancing techniques for data visualization, semantic web technologies, and relational database integration. Key research areas include: Ontology extraction from relational databases Type inference in transactional systems Schema transformation between heterogeneous models Peer-to-peer data integration protocols Temporal database systems His publication trends emphasize integration of heterogeneous data sources through formal methods, with notable contributions to OWL ontology implementation, hypergraph data models, and benchmarking big data query languages. Recent work focuses on Spark-based semantic reasoning and distributed knowledge exchange systems. Peter McBrien's research has been supported through Imperial College's infrastructure, with ongoing contributions to the AutoMed data integration framework and RoDEx protocols for unreliable networks. His work bridges theoretical foundations of data management with practical implementations in distributed systems.

Andrew Törökمشاهده پروفایل

استاد

• Dynamical Systems
• Ergodic Theory
• Statistical Mechanics
• +۴ مورد دیگر

Andrew Török is a Professor in the Department of Mathematics at the University of Houston. His research focuses on dynamical systems, ergodic theory, and their applications to statistical mechanics and probability. He has contributed to studies on random dynamical systems, extreme value theory, and stability properties of hyperbolic flows. Teaching responsibilities include courses like MATH 3364: Introduction to Complex Analysis. His work spans topics such as cohomology of dynamical systems, transitivity of group extensions, and statistical limit theorems for non-uniformly hyperbolic systems. Key publications address Birkhoff sum convergence, stable laws for Gibbs-Markov systems, and transitivity properties of Heisenberg group extensions. Research extends to applications in financial mathematics and market dynamics through studies on stock price fluctuations. Professional activities include organizing the Dynamics Colloquium and participating in interdisciplinary projects like gene network modeling. His address is at PGH Building, University of Houston, with contact via torok@math.uh.edu.

Yonghao Xuمشاهده پروفایل

استادیار

• Machine Learning
• Remote Sensing
• Artificial Intelligence
• +۴ مورد دیگر

Yonghao Xu is an Assistant Professor at the Department of Electrical Engineering , Linköping University , and affiliated with the Computer Vision Laboratory (CVL) and the Wallenberg Autonomous Systems Program (WASP) . His research bridges remote sensing , machine learning , and AI security . Research Trends Xu's recent publications focus on adversarial attacks and defenses in remote sensing, domain adaptation for semantic segmentation, and benchmark dataset creation (e.g., Sen2Fire). His work addresses challenges in urban sustainability , geospatial data analysis , and deep learning robustness . Labs & Programs He is associated with the Computer Vision Laboratory (CVL) , contributing to autonomous systems through the Wallenberg Autonomous Systems Program (WASP) , a major Swedish initiative in AI and robotics.

R. Manmathaمشاهده پروفایل

استاد مدعو

• Computer Vision
• Information Retrieval
• Image and Video Retrieval
• +۸ مورد دیگر

R. Manmatha is an Adjunct Professor in the College of Information and Computer Sciences at the University of Massachusetts Amherst and a Principal Scientist at Amazon A9 since 2013. His academic journey includes a Ph.D. in Computer Science from University of Massachusetts Amherst (1997), an M.S. in Electrical Engineering from University of Hawaii (1986), and a B.Tech in Electrical Engineering from Indian Institute of Technology Kanpur (1983). Research Interests Manmatha's work spans Computer Vision , Information Retrieval , and Document Analysis . Key projects include: Developing Vision-Language Models for GUI grounding and OCR-free document understanding Creating Word Spotting techniques for historical manuscripts like George Washington's papers Advancing Image Retrieval through statistical and relevance models Building Meta Search systems using score distribution analysis Optimizing Diffusion Transformers for text-to-image generation Scientific Contributions His research has led to numerous publications in conferences like SIGIR , CVPR , and ICDAR , focusing on: Automatic Image Annotation using cross-media relevance models Scale Space Techniques for handwritten manuscript segmentation Alignment Methods for document-groundtruth generation Indian Language Document Search via locality-sensitive hashing Transformer-based architectures for multimodal and document tasks Advising & Collaborations Manmatha has mentored students including Jiwoon Jeon , Shaolei Feng , Toni Rath , Jamie Rothfeder , and Nitin Srimal . He co-founded Snaptell (acquired by Amazon) and contributed to Amazon's mobile search technology. Labs & Teams He leads the Multi-media Indexing and Retrieval (MIR) group at the Center for Intelligent Information Retrieval (CIIR) , focusing on non-textual information indexing through ASCII conversion and direct content analysis.

Michał J. Wilczewskiمشاهده پروفایل

دانشیار

• Modern East-Central European History
• Polish History
• History of Everyday Life
• +۳ مورد دیگر

Mi Wilczewski is an Associate Professor of Instruction in the Department of Slavic Languages and Literatures at Northwestern University, with an affiliation to the Department of History. He serves as Director of Undergraduate Studies and faculty advisor for the Polish American Student Alliance (PASA), and is a Faculty Fellow at Willard Residential College. His research focuses on modern East-Central Europe, particularly Poland, emphasizing everyday life, rural reconstruction in interwar Poland, and debates on morality and sexuality in the region. Wilczewski holds a Ph.D. in History from the University of Illinois at Chicago (UIC), an MA in History from Michigan State University, and a BA in Sociology from La Salle University. He is the recipient of a 2013-2014 Fulbright IIE Student Research Grant. Prior to Northwestern, he taught at UIC and Loyola University Chicago while working as a program assistant for Polish Studies. His current research projects include Broken Land (exploring rural interwar Poland’s state-building efforts) and Sex in the Time of Sanacja (examining interwar Poland’s evolving discourses around sexuality). He also leads pedagogical initiatives such as Polish-language teaching materials development with the University of Białystok and the Poland in Chicago Digital Mapping Project . Wilczewski contributes to academic publishing as the book review editor for The Polish Review and Polish American Studies , focusing on history, social sciences, and diaspora studies.

Inger Mewburnمشاهده پروفایل

استاد

• PhD Student Experience
• PhD Graduate Employability
• Neurodivergence in PhD Study
• +۳ مورد دیگر

Professor Inger Mewburn is the Director of Researcher Development at The Australian National University (ANU), overseeing professional development programs for researchers. She holds a PhD from the University of Melbourne and specializes in research education, focusing on PhD student experiences, post-PhD employability, neurodivergence in academia, and generative AI applications in academic writing. Her work includes the influential Thesis Whisperer blog and books like How to Fix Your Academic Writing Trouble . Key research areas include analyzing non-academic job opportunities for PhD graduates using machine learning, exploring neurodivergent students' needs, and developing tools like the PostAc platform for job search. She has supervised numerous research students and led projects such as the INSIGNIA badge system for research training and the PostAc job search engine. Her contributions span pedagogical innovations, digital academic identity, and MOOC design. Notable collaborations include work with organizations like SEEK on industry demand tracking. Mewburn emphasizes practical solutions for researcher well-being and career navigation through initiatives like 'Shut up & Write!' writing groups. Her projects include analyzing precarious employment in academia, designing learning platforms, and exploring servant leadership in doctoral supervision. She advocates for inclusive academic practices and transparency in career pathways through systematic reviews and policy analysis.