Find Academic Supervisors

• Machine Learning
• Remote Sensing
• Geospatial Representation Learning
• +3 more

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 TrembanisView profile

Professor

• Coastal and estuarine morphodynamics
• Sediment transport
• Hydrodynamics
• +3 more

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 SemetView profile

Researcher

• General Turkology
• Turkish-Chinese and Turkish-Mongolian language contacts
• Linguistic and cultural contacts among the Islamic Turkic peoples
• +3 more

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 MitchellView profile

Professor

• Artificial Intelligence
• Cognitive Science
• Complex Systems
• +4 more

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 ThébergeView profile

Professor

• Music Technology
• Sound Studies
• Internet and Music
• +3 more

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
• +3 more

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
• +4 more

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 TörökView profile

Professor

• Dynamical Systems
• Ergodic Theory
• Statistical Mechanics
• +4 more

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 XuView profile

Assistant Professor

• Machine Learning
• Remote Sensing
• Artificial Intelligence
• +4 more

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. ManmathaView profile

Adjunct Professor

• Computer Vision
• Information Retrieval
• Image and Video Retrieval
• +8 more

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. WilczewskiView profile

Associate Professor

• Modern East-Central European History
• Polish History
• History of Everyday Life
• +3 more

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 MewburnView profile

Professor

• PhD Student Experience
• PhD Graduate Employability
• Neurodivergence in PhD Study
• +3 more

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.

Stephanie RièsView profile

Associate Professor

• Cognitive Neuroscience
• Psycholinguistics
• Speech and Language Disorders
• +4 more

Stephanie Riès is an Associate Professor in the Department of Speech, Language, and Hearing Sciences at San Diego State University, where she directs the Laboratory for the Brain Dynamics of Language. Her research specializes in the cognitive neuroscience of human language, examining brain dynamics in language production, control processes, and neural reorganization following brain disorders. Education: BS in Biology from University of Rennes 1 MS in Cognitive Neuroscience from Aix-Marseille University MS in Cellular Biology and Animal Physiology from University of Rennes 1 PhD in Cognitive Neuroscience from Aix-Marseille University Her work integrates electrophysiology (EEG, EMG) and neuroimaging to study language production mechanisms and compensatory plasticity in conditions like stroke, epilepsy, and brain tumors. Key research areas include bilingual interference resolution, speech monitoring mechanisms, and neural reorganization patterns. Recent publications focus on neural hierarchies in speech production, neuroplasticity in language recovery, and advanced brain mapping techniques. Article analyses reveal strong emphasis on electrophysiological methods (sEEG, ERP), bilingual cognition, and clinical translation of neuroscience findings. Dr. Riès leads significant research initiatives through her laboratory, investigating brain-behavior relationships using intracranial recordings and developing novel approaches for speech activity detection across neurological populations.

Barbara S. Lancho BarrantesView profile

Senior Lecturer

• Bibliometrics
• Scientometrics
• Citation Analysis
• +7 more

Barbara S. Lancho Barrantes is a Senior Lecturer at the University of Brighton's School of Architecture, Technology and Engineering within the Computing and Mathematical Sciences department. She specializes in bibliometrics, scientometrics, and research analytics, with a focus on citation analysis, sustainable development goals, and research integrity. She holds a PhD in Bibliometrics from the University of Extremadura and has received prestigious awards including the Extraordinary PhD Award (2014) and the Responsible Research and Innovation Award (2022). Education includes a Bachelor's in Information Science (First Class Honours, 2006), a Master's in Digital Information Management (2007), and a PhD in Bibliometrics (2012). She is a Fellow of the Higher Education Academy and has held roles at institutions like the University of Leeds and Tecnologico de Monterrey. Research interests span citation dynamics, SDG mappings, and the impact of economic factors on scientific productivity. She leads the LIS Bibliometrics committee and organizes the annual international conference. Recent work includes exploratory factor analysis of SDG indicators and multilingual research dissemination practices. Key Awards: Extraordinary PhD Award, Responsible Research and Innovation Award Professional Affiliations: Chair of LIS Bibliometrics Committee, External Examiner at University of Wolverhampton Supervision Focus: Bibliometric methodologies, data science integration with research metrics Her articles analyze citation flows, SDG contributions, and questionable publishing threats. She advocates for responsible research metrics through workshops and peer-review activities in journals like Scientometrics and Education for Information .

Masahiro RyoView profile

Professor

• Environmental Data Science
• Artificial Intelligence
• Biodiversity Science
• +5 more

Masahiro Ryo is a Professor of Environmental Data Science at Brandenburg University of Technology (BTU) and leads the working group "Artificial Intelligence for Smart Agriculture" at the Leibniz Centre for Agricultural Landscape Research (ZALF). His research integrates machine learning with ecological systems to address global sustainability challenges, focusing on biodiversity, soil health, and AI-driven agricultural solutions. His work spans environmental data science, ecosystem services, and smart agriculture. Key themes include explainable AI for biodiversity monitoring, soil organic carbon prediction, and machine learning applications in ecological modeling. Recent publications highlight trends in environmental AI, with applications in yield mapping, fungal taxonomy, and global change ecology. He emphasizes the integration of ecological theory with deep learning to tackle small-data problems and improve model transferability. Contact: masahiroryo@gmail.com | Personal Website