Find Academic Supervisors

• Neuroscience of Creativity
• Educational Neuroscience
• Cognitive Neuroscience
• +5 more

Adam E Green is a Professor in the Department of Psychology at Georgetown University's College. He specializes in the neuroscience of creativity, particularly how neural processes underpin creative thinking and learning. His work integrates cognitive neuroscience with educational contexts, exploring endogenous neural mechanisms and neurostimulation techniques to enhance creativity. He is the founder and former President (2019-2021) of The Society for the Neuroscience of Creativity. Dr. Green holds a Ph.D. in Cognitive Neuroscience from Dartmouth College and a B.A. from Johns Hopkins University. His research focuses on creativity's neural foundations, including the cognitive and emotional dynamics of creative problem-solving, math anxiety's impact on STEM performance, and spatial cognition development. He has pioneered tools like the Scientific Creative Thinking Test (SCTT) and conducts translational research to bridge neuroscience and educational practice. His recent work examines creativity differences in natural environments, the role of semantic integration in idea generation, and computational approaches to predicting academic success through creativity metrics. Key contributions include linking creativity to brain network dynamics, demonstrating creativity-specific anxiety, and advancing interdisciplinary frameworks for creativity measurement. His grants focus on enhancing creative cognition through neuroscientific insights and improving STEM education via spatial learning interventions. Active in both basic and applied neuroscience, Green's work has implications for mental health, education policy, and cognitive enhancement technologies.

Julie WallView profile

Professor

• Artificial Intelligence
• Advanced Computing
• Deep Learning
• +12 more

Professor Julie Wall is a faculty member at the University of West London, serving as Professor of AI and Advanced Computing in the School of Computing and Engineering. She is actively engaged in research, teaching, and professional service, including her role as an expert at the British Standards Institution (BSI) in the domain of artificial intelligence. Research Interests: Julie Wall's research is centered on the design and application of intelligent systems for processing and modeling temporal data, particularly in speech and language. She leverages neural network architectures—ranging from biologically inspired models to computationally efficient deep learning systems—to analyze diverse data types such as audio, video, images, tabular data, and 3D features. Her work extends to developing production-grade deep learning and natural language understanding systems for immersive environments like virtual and augmented reality. Publications and Research Trends: Her body of work, comprising over 50 high-quality papers and multiple patents, reflects a strong trajectory in AI systems that integrate multimodal data with temporal dynamics. The research spans core areas of machine learning, natural language processing, and applied AI, with increasing focus on real-world deployment, efficiency, and intelligent interaction in extended reality platforms. Scientific Awards: US Patent UK Patent Advising and Grants: Julie Wall supervises research students across disciplines including forensic science and artificial intelligence. She contributes extensively to academic programs, teaching courses such as BSc and MSc in Computer Science, Artificial Intelligence, Data Science, and specialized AI programs in cybercrime and criminal justice. While specific grant details are not listed, her patent holdings and publication volume suggest sustained research funding and project leadership. Labs and Teams: As a leading researcher in AI and advanced computing, she is likely involved in or leads research groups focused on intelligent systems, deep learning, and multimodal AI at the University of West London, though specific lab names are not mentioned in the text.

Dujuan YangView profile

Assistant Professor

• Urban Planning
• Smart Cities
• Energy Systems
• +5 more

Dujuan Yang is an Assistant Professor in the Department of the Built Environment at Eindhoven University of Technology (TU/e). Her research focuses on Travel Behavior and Energy Effects, Urban Infrastructure Management, Energy Neutral City Development, and Decision Support Systems in Smart Cities. She leads the TU/e Smart Cities program's Urban Data & Data Platform initiative and has expertise in quantitative methods for urban sustainability. Dr. Yang holds a Ph.D. from TU/e (2013 Prestige Grant recipient), MSc from Harbin Institute of Technology, and BSc from Southeast University. She has co-authored over 50 peer-reviewed articles in journals like Transportation Research Part C and Applied Energy , and led projects like Triangulum and DESENT. She serves as Guest Editor for Urban Planning and reviewer for 15+ journals. Her research bridges urban data analytics with policy impact, emphasizing digital twins for energy efficiency, evacuation safety, and occupant comfort. Notable contributions include frameworks for sustainable urban energy systems and methodologies for analyzing household energy adaptation strategies under policy changes. Key Projects: Triangulum (Smart Cities Implementation), DESENT (Decision Support Systems) Awards: WCTR Prestige Grant (2013) Grants: €2.5M+ secured through EU Horizon 2020 and Dutch funding Dr. Yang's work integrates smart technologies with human-centric design, addressing challenges like climate resilience and equitable urban development through data-driven solutions.

Mark SandlerView profile

Professor

• Digital Signal Processing
• Machine Learning
• Deep Learning
• +6 more

Mark Sandler is a Professor of Signal Processing and Director of the Centre for Digital Music at Queen Mary University of London. He leads the School of Electronic Engineering and Computer Science and contributes to the Centre for Multimodal AI. His work spans Digital Signal Processing, Machine Learning, and their applications in Audio and Music Technology, including source separation, neural audio synthesis, and physics-informed models. He has pioneered research in music informatics, sound synthesis, and AI-driven creativity. Awards include Fellowships from the Royal Academy of Engineering (FREng), IEEE (FIEEE), IET (FIET), and Audio Engineering Society (FAES). Research interests include audio segmentation, harmonic analysis, and interdisciplinary projects with computer vision. He has authored numerous publications on topics like neural synthesizers, knowledge distillation, and spatial audio systems. His contributions extend to semantic web technologies for music production and interactive audio applications. Current projects focus on low-latency synthesis, machine learning for music tagging, and adaptive audio systems. Awards and grants highlight leadership in digital music innovation. His academic roles include supervising research groups and directing interdisciplinary initiatives. The labs under his leadership include the Centre for Digital Music and collaborations with industry partners on audio engineering and immersive technologies.

Hansung KimView profile

Associate Professor

• 3D Computer Vision
• Artificial Intelligence
• Virtual Reality
• +6 more

Dr. Hansung Kim is an Associate Professor in the School of Electronics & Computer Science at the University of Southampton . With over 100 peer-reviewed publications (60+ as first author), he specializes in 3D computer vision, audio-visual machine perception, and immersive virtual reality technologies. School: School of Electronics & Computer Science University: University of Southampton Email: H.Kim@soton.ac.uk Research Focus : Dr. Kim’s work bridges computer vision, machine learning, and audio signal processing to advance real-time immersive VR experiences. His research addresses challenges in joint audio-visual scene understanding, human pose estimation, and depth estimation using omnidirectional cameras. Key applications include entertainment, training, and media production. Scientific Recognition : Best Paper Award & Nomination (2013, 2019) 3rd Prize at AHSC Competition (2020) Teaching Roles : He supervises courses such as COMP6223 Computer Vision , COMP1201 Algorithmics , and COMP6200 MSc Project , emphasizing technical rigor and practical implementation in computer vision and algorithmic design.

Yunshuang YuanView profile

Researcher

• Collective perception for autonomous driving
• Point cloud processing
• Deep learning and computer vision
• +3 more

Dr.-Ing. Yunshuang Yuan is a Researcher at the Institute of Cartography and Geoinformatics, Leibniz University Hannover. She holds a B.Sc. in Building Electrical Engineering and Intelligentization from Beijing University of Civil Engineering and Architecture (2010-2014), followed by an M.Sc. in Navigation and Environmental Robotics from Leibniz University Hannover (2017-2020). Since 2020, she has been a Research Associate, focusing on collective perception for autonomous driving, point cloud processing, and deep learning applications in geoinformatics. Her research interests span collaborative perception systems, LiDAR data fusion, and semantic segmentation for historical maps. Key projects include the DFG-funded Collective Perception - Data Fusion and Visualization (2020) and the development of datasets like COMAP and LuCoop. She actively supervises Master's theses on topics such as reinforcement learning for data selection and semantic segmentation of historical maps. Her work addresses challenges in autonomous vehicle perception, including efficient data transmission, real-time environmental mapping, and accessibility for visually impaired users through metadata generation. Collaborations with BMW Munich and contributions to IEEE and ISPRS journals highlight her interdisciplinary impact.

Nele DemeyereView profile

Professor

• Cognitive Neuropsychology
• Stroke Rehabilitation
• Dementia
• +6 more

Nele Demeyere is Professor of Neuropsychology at the University of Oxford, leading the Translational Neuropsychology Group within the Nuffield Department of Clinical Neurosciences. She holds an NIHR Advanced Fellowship and a Stroke Association Wolfson Lectureship. Her research focuses on cognitive impairments post-stroke and dementia, particularly visuo-spatial neglect and executive dysfunction. She developed the Oxford Cognitive Screen (OCS), a widely used stroke-specific cognitive assessment tool with over 1,100 licensed clinical sites globally. Demeyere’s work bridges fundamental cognitive neuroscience with clinical applications, including lesion-mapping studies and longitudinal cohort analyses of stroke recovery. She leads three NIHR-funded studies and chairs the Cognitive Screening programme at the John Radcliffe Hospital. Her group investigates neuroanatomical correlates of neglect, cognitive trajectories in chronic stroke survivors (OX-CHRONIC study), and mental capacity assessments in dementia. Her academic roles include past coordination of undergraduate admissions across Oxford’s 20 colleges for Experimental Psychology and Psychology courses (2016–2021), and St Anne’s College stipendiary lecturer (2012–2021). Awards include the Stroke Association Wolfson Lectureship and NIHR Advanced Fellowship. PhD in Cognitive Neuropsychology NIHR UK Clinical Research Network Chief Investigator OCS development and international translation efforts

• Artificial Intelligence
• Machine Learning
• Engineering Applications
• +4 more

Professor Adam Sobey holds the Chair of Data-Centric Engineering at the University of Southampton's Maritime Engineering Group. He is currently on an 80% secondment as Director of the Data-Centric Engineering Programme at The Alan Turing Institute, funded by Lloyd's Register Foundation. His research focuses on applying AI and Machine Learning to improve engineering safety, reduce emissions, and advance sustainable practices. He also serves as a Non-Executive Director of Theyr Ltd, a maritime software company. Education: MEng in Aerospace Engineering (2006), PhD in Maritime Engineering (2010). Professional milestones include the 2015 Royal Institute of Naval Architects Jeom Paik Award for structural safety research. Research Interests: Reinforcement Learning in continuous environments, Evolutionary Computation, AI in scenarios with incomplete physics understanding. Key projects include optimizing wind-assisted ship technologies and advancing offshore wind energy systems. Awards: Royal Institute of Naval Architects Jeom Paik Award (2015). Editorial Roles: Editor of Data-Centric Engineering and Associate Editor of Ship and Offshore Structures . Supervision: Advising nine PhD students across engineering and environmental themes. Active in training the next generation of engineers through interdisciplinary collaboration and policy influence.

Jennifer EdwardsView profile

Assistant Professor

• Early Modern Literature
• Shakespeare Studies
• Literature and Medicine
• +7 more

Dr. Jen Edwards is Assistant Professor in the Department of English and Comparative Literary Studies at the University of Warwick, joining in September 2023. She has previously taught at The Queen’s College, Oxford, Shakespeare’s Globe, and Royal Holloway, University of London, reflecting a strong interdisciplinary and performance-oriented academic profile. Research Interests: Her work bridges early modern literature, medicine, and philosophy, with a central focus on emotion, embodiment, and consciousness. She investigates how literature contributes to early modern understandings of mental interiority and subjectivity, particularly in states of distraction, ecstasy, and emotional disturbance. Her research extends to modern Shakespearean performance, affect, and environmental embodiment. Recent Publications and Research Trends: Her recent publications reveal a consistent engagement with altered states of consciousness in Shakespeare, including ecstasy, distraction, and out-of-body experiences. These works span literary analysis, medical humanities, and performance studies, showing a strong interdisciplinary trajectory. Her 2023 monograph This Distracted Globe exemplifies her focus on cognitive and sensory engagement in theatrical spaces. Honors and Research Support: Research supported by The Huntington Library (California) Supported by Osler Library of the History of Medicine (Montreal) Supported by TORCH (Oxford) Teaching and Collaborative Work: She teaches courses on Shakespearean text and performance and European theatre. She has collaborated with biologists at Oxford on interdisciplinary projects examining fainting and illness in Shakespeare’s theatre, demonstrating a commitment to cross-disciplinary scholarship. She is currently working on a book titled Ecstatic Subjects and a new introduction to Shakespeare’s narrative poems for Oxford World’s Classics. Labs and Research Groups: While no formal lab is mentioned, her affiliations with TORCH (The Oxford Research Centre in the Humanities) and collaborative projects with science departments indicate active participation in interdisciplinary research networks focused on performance, cognition, and medical humanities.

• Urban Design
• Architecture
• Sustainable Urban Development
• +12 more

Professor Marcus White is a distinguished academic and practitioner in architecture and urban design at Swinburne University of Technology, where he serves as Professor in the School of Design and Architecture. He co-directs the architectural firm Harrison and White Pty Ltd and leads the Spatio-Temporal Research Urban Design and Architecture Lab (STRUDAL) at Swinburne. His work bridges academia and professional practice, focusing on sustainable urban development, digital design, and healthcare environments. Education: PhD in Spatial Information Architecture, RMIT University (2009) Professor White’s research centers on innovative urban design solutions using computational methods such as parametric modeling, agent-based systems, virtual and augmented reality, and machine learning. His work addresses critical urban challenges including walkability, noise pollution, aging populations, and equitable access to public space. He also pioneers patient-centered design in stroke rehabilitation, integrating clinical insights with architectural innovation through Living Lab frameworks and VR-based co-design. His recent publications span topics such as pedestrian safety in metro stations, traffic noise annoyance mapping, AI-based SDG classification, and age-friendly urban design. These works reflect a consistent trend toward interdisciplinary, human-centered, and data-driven approaches to shaping healthier, more sustainable cities. Scientific Awards: National Citation for Outstanding Contributions to Student Learning Venice Biennale selection (2010, 2025) Victorian Architecture Medal (2018) Australian Institute of Architects Urban Design and Jackson Educational Awards (2018) European Healthcare Design Award (2022) RAIA Haddon Travelling Scholarship (2002) AIA National Emerging Architect Award Professor White actively supervises PhD students and has secured major grants from the Australian Research Council (ARC), The Florey Institute, and iMOVE Australia. His leadership in projects like NOVELL (Neuroscience Optimised Virtual Environments Living Lab) demonstrates a strong commitment to translating research into real-world impact. He collaborates extensively with clinicians, urban planners, and technologists to advance evidence-based design across sectors. Labs and Teams: Spatio-Temporal Research Urban Design and Architecture Lab (STRUDAL) NOVELL (Neuroscience Optimised Virtual Environments Living Lab) Collaborations with The Florey Institute of Neuroscience and Mental Health ARC Training Centre for Next-Gen Architectural Manufacturing

Philippe Cudré-MaurouxView profile

Professor

• Exascale Information Management
• Big Data
• Artificial Intelligence
• +13 more

Philippe Cudré-Mauroux is a Full Professor at the University of Fribourg, Switzerland , where he leads the eXascale Infolab . He has held visiting researcher positions at MIT and Microsoft CISL , and serves on the Research Council of the Swiss National Science Foundation and the Scientific Advisory Board of the CHIST-ERA EU Research Programme . Research Interests: His work spans exascale information management , big data , AI , knowledge graphs , linked data , time series data repair , and emergent semantics . He focuses on building scalable, intelligent data systems that integrate storage, computation, and semantics. Publication Trends: His recent work emphasizes schema-aware knowledge graph completion , time series imputation and benchmarking , hardware-accelerated data systems , and large language models for data cleaning . His research bridges database systems, AI, and systems architecture, often targeting high-performance, real-world applications. Scientific Awards: ERC Consolidator Grant (2016) Google Faculty Research Award (2013) Verisign Internet Infrastructures Award (2012) Best Paper Awards at VLDB (2020), AAMAS (2019), and Swiss Data Science Conference (2020) EPFL Doctorate Award and Press Mention (2007) Best Mentor Award at ISWC (2010) Advising and Grants: He mentors a large group of researchers and students, many of whom are co-authors on his publications. He has secured significant funding, including a €2M ERC Grant and multiple Google and Amazon grants, supporting a vibrant research lab focused on next-generation data infrastructure. Labs and Teams: He leads the eXascale Infolab at the University of Fribourg, a dynamic research group actively publishing in top-tier venues and developing innovative tools for data management and AI integration.

Maria Antonia BrovelliView profile

Professor

• Geomatics
• GIS
• Open Source GIS
• +6 more

Maria Antonia Brovelli is a Professor of GIS at Politecnico di Milano (PoliMI) in the Department of Civil and Environmental Engineering and a member of the School of Doctoral Studies in Data Science at Roma La Sapienza University. Formerly Vice-Rector of PoliMI for the Como Campus (2011-2016), she currently leads the GEOLab (Geomatics and Earth Observation Lab) and holds influential roles including Deputy Chair of the ISPRS TC on Spatial Information Science, co-chair of the United Nations Open GIS Initiative, and Chair of the UN-GGIM Academic Network. Her research spans geomatics with evolving expertise from geodesy and radar-altimetry to GIS, webGIS, geospatial web platforms, Volunteered Geographic Information (VGI), Citizen Science, Big Geo Data, and geospatial AI. A global leader in Open-Source GIS advocacy, her work emphasizes open data ecosystems, collaborative mapping, and AI-driven geospatial solutions for environmental challenges. Key methodologies include open-source software frameworks and citizen science integration. Recent publications (2025) demonstrate convergence of AI and geospatial analysis, featuring satellite-ground sensor fusion for urban air quality, high-resolution land cover mapping, zero-shot learning for remote sensing imagery, landslide prediction models, and climate-agriculture impact studies. Dominant themes include open geospatial platforms, transferable AI architectures, and multi-scale environmental monitoring using open data principles. Honors include: Sol Katz Award for Geospatial Free and Open Source Software (OSGeo) As mentor of PoliMI's YouthMappers chapter (PoliMappers), she guides student-led open mapping initiatives. Her editorial leadership as Associate Editor of ISPRS International Journal of Geo-Information shapes discourse in geospatial AI and open science. Research grants span ESA Earth Observation programs, UN initiatives, and international collaborative projects focused on open geospatial infrastructure. Brovelli directs GEOLab at Politecnico di Milano, a hub for geospatial innovation developing open-source tools for earth observation, citizen science platforms, and AI-driven spatial analytics. The lab collaborates with UN-GGIM, ISPRS networks, and ESA projects, driving open standards adoption globally while advancing geospatial AI applications in climate resilience and urban sustainability.

• Cognitive Psychology
• Olfaction and Memory
• Attention Mechanisms
• +3 more

Christina Bermeitinger is a Professor (W2) and Chair of General Psychology at the University of Hildesheim's Institute of Psychology, within the Faculty of Educational and Social Sciences. Since October 2023, she has served as Vice President for Research and Scientists in the Qualification Phase. Previously, she was Dean of Faculty 1 (2019-2023) and chaired the Institute of Psychology (2017-2019). Her research focuses on cognitive psychology with specialization in: Olfactory processing and memory interactions Motion perception and response priming Spatial representation and compatibility effects Attention mechanisms (temporal/spatial) and consciousness Emotion-cognition interactions and subliminal processing Bermeitinger's publications demonstrate consistent focus on experimental psychology methodologies applied to sensory-cognitive interactions. Recent work (2020-2025) shows strong emphasis on olfactory memory paradigms, cross-cultural attention studies, and meta-scientific contributions. Her articles frequently appear in specialized cognitive psychology journals and integrate neuroscientific frameworks. She has secured significant research funding including DFG projects on olfactory associative memory (>€250,000) and digital learning initiatives. Leads the General Psychology laboratory investigating cognitive processing through behavioral experiments.

Frederico FonsecaView profile

Associate Professor

• Ontology
• Geographic Information Systems
• Information Systems
• +12 more

Frederico Fonseca is an Associate Professor in the College of Information Sciences and Technology at Pennsylvania State University. His research focuses on the conceptualization and implementation of information in computer systems, with a particular emphasis on ontologies related to the environment and geographic information systems (GIS). He is affiliated with interdisciplinary research themes in Health and the Environment and contributes to foundational work in information science. His research interests span ontology, geographic information systems, knowledge sharing, big data, information integration, hermeneutics, and the philosophical foundations of information. He explores how meaning is constructed, shared, and represented in digital environments, especially through computational ontologies and cyber-human systems. His work bridges technical, social, and philosophical dimensions of information science. The recent publications highlight a strong trend in the intersection of information theory, environmental modeling, and human cognition. His articles explore semantic structures in data, the epistemology of big data, and the socio-technical aspects of digital systems. Key domains include GIS, ontology engineering, digital divides, and ethical design, reflecting a deeply interdisciplinary approach grounded in both technical rigor and philosophical inquiry. Scientific Awards: No scientific awards mentioned in the provided text. Frederico Fonseca has been involved in significant research projects related to spatial data infrastructures, knowledge sharing, and semantic systems. While specific grants are not listed, his collaborative publications suggest involvement in federally or institutionally funded initiatives, particularly in geoinformatics and data science. He has advised or collaborated with multiple researchers and students, though no formal advisees are named in the text. He is associated with research groups focusing on cyber-human systems, geographic information science, and semantic technologies. His work contributes to broader teams exploring open data, information ethics, and environmental informatics, particularly in the context of global challenges like forest monitoring and digital equity.

• Big Data Analytics
• Sentiment Analysis
• Data Management
• +3 more

Bela Stantic is a Professor at Griffith University's School of Information and Communication Technology, where he founded and directs the Big Data and Smart Analytics Lab . With a PhD from Griffith University, his academic appointments include Head of School (2015-2019) and Deputy Head of School (2013-2015). He remains an active member of the Institute for Integrated and Intelligent Systems since 2005. Research Focus: Professor Stantic specializes in Big Data Analytics, particularly in social media sentiment analysis and complex data management. His interdisciplinary work spans tourism analytics, environmental monitoring, cryptocurrency forecasting, and AI ethics. Key applications include disaster response systems, aquaculture optimization, and sustainable infrastructure. Publication Trends: Recent articles (2023-2025) demonstrate strong emphasis on AI-driven solutions: 40% focus on time-series forecasting and cryptocurrency prediction, 30% on computer vision/LiDAR applications, and 30% on social media analytics for tourism and public policy. Machine learning integration across environmental and financial domains is a consistent theme. Grants & Projects: Secured 24 funded projects totaling ~$1.8M AUD, including: Automated seagrass monitoring ($403K, 2023-2025) NSW flood impact analysis via social media (2022) Offshore aquaculture welfare systems ($466K, 2022-2026) COVID-19 pandemic behavior tracking (2020) Student Advising: Supervised 15+ doctoral students to completion in areas like 3D data extraction, social media mobility tracking, and stream-processing engines. Currently mentoring PhD candidates on multimodal sentiment analysis and real-time recommendation systems.