Find Academic Supervisors

• Environmental Psychology
• Cultural Heritage Preservation
• Built Environment Analysis
• +3 more

Barbara Fogarasi is a Junior Research Fellow and lecturer at the Environmental Psychology Lab within the Institute of People–Environment Transaction at Eötvös Loránd University. Her work focuses on the psychological dimensions of cultural heritage preservation, built environment perception, and community-driven revitalization projects. Her research explores how people interact with historic buildings and sites, emphasizing the cognitive and emotional dimensions of heritage valuation. Key projects include the Nivegy Valley Parish House rehabilitation and participatory restoration studies demonstrating heritage's impact on social well-being. Fogarasi's recent work (2021-2024) examines expert vs non-expert perceptions of historic environments, revealing semantic frameworks shaping heritage interpretation. Earlier studies (2007-2017) investigated Transylvanian garden histories and rural heritage management strategies. Her lab focuses on integrating environmental psychology principles into cultural heritage conservation practices, advocating for community-embedded approaches to preservation.

• Database Systems
• Semantic Heterogeneity
• Federated Databases
• +3 more

Dennis McLeod is a Professor at the University of Southern California , specializing in Database Systems , Ontology Engineering , and Semantic Heterogeneity resolution. His work bridges Federated Database Systems and Web Engineering , focusing on component-based architectures, adaptive ontologies, and geospatial data processing. Key Research Areas : Semantic heterogeneity, ontology-driven data mining, mobile web information management, and distributed systems. Collaborations : Extensive partnerships with researchers like Qing Li , Cyrus Shahabi , and Stefania Leone across institutions. Publications (2014-1995) span topics from component-based web engineering to distributed earthquake science , with recent work on geostreaming, social network tag-geotag analysis, and spam filtering using ontologies. His contributions include frameworks for multi-resolution document transmission , object-oriented database sharing , and adaptive query optimization in federated systems. Scientific Impact : Co-chairs and tutorials at major conferences (VLDB, CoopIS, ICDE). Co-edited proceedings for ICWL 2008 and contributed to Expert Database Systems (1989-1991). Pioneered INTERBASE for controlled sharing in federated databases (1990).

Mariya TonevaView profile

Professor

• Computational Neuroscience
• Natural Language Processing
• Machine Learning
• +2 more

Mariya Toneva is a Tenure-track Professor (W2) at the Max Planck Institute for Software Systems in Saarbrücken, Germany, where she leads the Bridging AI and Neuroscience (BrAIN) group. Her research integrates machine learning, natural language processing, and neuroscience to develop computational models of language processing in the brain and improve NLP systems through brain alignment. Her research vision focuses on bidirectional benefits: 1) Using brain data to develop better language models that align with human cognition, and 2) Using insights from language models to understand human language processing. Current projects investigate how episodic memory can enhance long-term LLM agents and how speech models can better reflect neural processing hierarchies. Toneva's recent publications demonstrate significant contributions in brain-LLM alignment, with work appearing at ICLR, CogSci, TMLR, EMNLP, and INTERSPEECH. Her research group systematically examines why language models align with brain recordings and develops methods to improve this alignment through brain-tuning techniques. She actively seeks PhD students and postdoctoral researchers for projects involving neuropixel data analysis of speech processing and multimodal transformer architectures. Toneva regularly presents keynotes at major conferences (e.g., ELLISxUniReps Speaker Series) and participates in workshops on NeuroAI and cognitive modeling. Her interdisciplinary approach combines techniques from machine learning, natural language processing, and cognitive neuroscience to address fundamental questions about language representation in both artificial and biological neural systems.

• Data Science
• Machine Learning
• Spatial Analysis
• +5 more

Curdin Derungs is a Lecturer in Data Science at the Lucerne School of Computer Science (HSLU), Switzerland. He specializes in applying statistical and machine learning techniques to energy systems, spatial analysis, and natural language processing. His professional competencies include data-driven automation, deep learning, time series analysis, and energy systems optimization. Derungs holds a PhD in Natural Sciences (University of Zurich, 2013) with a focus on NLP and spatial analysis, and a DAS in Applied Statistics (ETH Zurich, 2019). Earlier degrees include a Master's in Geography (2008) and Atmospheric Physics (ETH Zurich, 2008). His research explores intersections between data science and environmental sustainability, including energy efficiency optimization, spatial language dynamics, and landscape modeling. Recent work focuses on occupant behavior in energy systems, geotagged text analysis, and soil formation modeling. Key projects include SCCER FEEB&D Work Package 2 on renewable energy systems, the Romande Energy Demonstrator, and urban greening studies. He actively contributes to interdisciplinary initiatives like the IGE Innovationswettbewerb 2019 and Innovationspark Zentralschweiz.

Diane BrentariView profile

Professor

• Sign Languages
• Phonology
• Morphology
• +7 more

Dr. Diane Brentari is the Mary K. Werkman Professor of Linguistics at the University of Chicago and Co-Director of the Center for Gesture, Sign, and Language. Her research focuses on sign language grammars, phonology, and the emergence of protactile systems in DeafBlind communities. She holds a Ph.D. from the University of Chicago (1990) and has taught there since 2011. Key interests include modality effects on language structure, language variation, and typological comparisons. Her work has been supported by the National Science Foundation, a Guggenheim Fellowship, and the Neubauer Collegium. Notable contributions include books like Sign Language Phonology (2019) and edited volumes on sign language creation and phonological theory. Awards include Fellow of the Linguistic Society of America and membership in the American Academy of Arts and Sciences. Research Highlights: Analysis of Nicaraguan Sign Language emergence, tactile phonology in protactile communities, and cross-modal comparisons of gesture and sign. Courses Taught: Phonological Analysis, American Deaf Community Studies, and Seminars on Multiple Verb Predicates. Dr. Brentari's lab investigates sign language morpho-phonology and its sociocultural dimensions. Recent projects explore how tactile languages utilize touch and proprioception as linguistic resources. Her work bridges theoretical linguistics with empirical studies of language emergence and variation.

Angel ChangView profile

Research Fellow

• Computer Vision
• Machine Learning
• 3D Scene Understanding
• +3 more

Angel Chang is a Hans Fischer Fellow at the Technical University of Munich (TUM), hosted by Prof. Matthias Nießner in the Visual Computing Focus Group. She holds affiliations with Simon Fraser University and Eloquent Labs. Her research bridges natural language processing with 3D scene understanding, focusing on grounding textual descriptions to 3D data through innovations like ScanNet and ShapeNet. Key contributions include dense captioning, object localization in RGB-D scans, and unified vision-language models. Her work addresses challenges in 3D scene reconstruction, CAD model alignment, and interactive environments. Notable projects include SAPIEN for simulated part-based interactions and PartNet, a benchmark for hierarchical 3D object understanding. Chang's research aims to advance AI systems that interpret and generate complex 3D environments using multimodal data. Publications span top venues like CVPR and ACM Transactions on Graphics, demonstrating impact in computer vision, robotics, and machine learning. She collaborates across institutions to develop datasets and frameworks that drive progress in digital scene modeling and human-AI collaboration.

• Complex Systems
• Network Analysis
• Mobility Data
• +3 more

Vsevolod Salnikov is a Researcher affiliated with the Namur Institute for Complex Systems at the University of Namur. His work focuses on complex systems, network analysis, and mobility data applications. He has led research projects such as OpenNext (2017-2019) and MyOpenNext (2020-2021), which developed predictive models and mobile applications for transportation analysis. Salnikov holds a Doctor of Sciences degree in Human Mobility from the University of Namur (2015), focusing on data acquisition and algorithmic solutions for mobility challenges. His research interests span topology, dynamics of networks, transportation economics, and higher-order network analysis. Notable contributions include studies on emergent grammar dynamics, simplicial complex applications in mathematics, and taxi price comparison mobile apps. Salnikov actively participates in conferences, presenting work on topics like non-Markovian dynamics and community detection in temporal networks. Key projects include leveraging mobility data for public interest and developing tools for urban transport optimization. His datasets include contributions to studies on emergent grammar dynamics, reflecting interdisciplinary collaborations in linguistics and network science.

Serdar BulutView profile

Professor

• Modern Turkish Language
• Anatolian Dialects
• Turkish Linguistics
• +5 more

Prof. Serdar Bulut is a Full Professor at the Department of Turkish Language Education, Faculty of Education, Alanya Alaaddin Keykubat University. He holds a PhD in Turkish Language and Literature from Adiyaman University (2017) and a Master's degree from Ordu University (2012). His academic career includes roles as Department Head, Director of Research and Application Center, and Deputy Director at multiple institutions. Education: PhD: Adiyaman University, Turkish Language and Literature (2017) MA: Ordu University, Turkish Language and Literature (2012) Licentiate: Ondokuz Mayis University (2009) Research Interests: Serdar Bulut specializes in Turkish dialectology, focusing on Anatolian, Ottoman, and modern Turkish language variations. His work explores lexical patterns in regional dialects (e.g., Alanya, Giresun, Gümüşhane), historical texts (e.g., Shahnameh translations), and language education for visually/hearing-impaired learners. He emphasizes preserving endangered dialects and advancing methodologies in Turkish language instruction. His recent publications (2024–2018) analyze children’s tales, dialectal proverbs, plant naming conventions, and 3D technology applications in special education. He has received awards like the Young Researcher Award (2018) and the ALKU 2020 Success Award. Grants & Labs: He led projects on linguistic contributions of foreign scientists to Turkish and Turkish dialectal vocabulary compilation. His work appears in journals like Turkish Studies and Journal of History School . Labs/Teams: Involved in research teams at the Research and Application Center, focusing on language preservation and educational technology integration.

• Internet of Things (IoT)
• Edge Computing
• eHealth Systems
• +7 more

Dr. Menychtas Andreas is an Assistant Professor at the Department of Digital Systems, School of Informatics and Communications, University of Piraeus. He holds a PhD from the National Technical University of Athens (2009), specializing in service-oriented architectures. His teaching focuses on distributed computing, programming, and information systems development across multiple institutions including the University of Piraeus and Hellenic Open University. Research interests center on modern computing infrastructures, software development, and IoT applications, with particular emphasis on Edge Computing, smart cities, telemedicine, and machine learning. He has led over 20 European and national projects, publishing >100 articles with 1,900+ citations. Key areas include AR healthcare solutions, bias mitigation in AI, and secure medical IoT systems. Notable contributions include the MedSecurance project (medical IoT security), CrowdHEALTH platform (big data-driven public health policies), and AGILE framework (open-source edge computing). His work bridges theoretical research with practical implementations in wearable tech, telemedicine systems, and urban smart infrastructure. Grants and collaborations highlight extensive industry partnerships, with current focus on digital twins for healthcare robotics (AI4Work), AI-driven pandemic monitoring, and gamification in healthcare platforms. His lab develops innovative solutions at the intersection of AR, edge computing, and healthcare informatics.

Fujian YanView profile

Teaching Professor

• Robotics
• Human-Robot Interaction
• Computer Vision
• +3 more

Fujian Yan is an Assistant Teaching Professor at Wichita State University. He specializes in robotics, human-robot interaction, and spatial reasoning. His research focuses on developing frameworks for intuitive collaboration between humans and robots, including volumetric reconstruction, motion primitives, and real-time communication systems. He is affiliated with Wichita State University, where his office is located in Jabara Hall. Yan’s research interests include advancing robotic capabilities in understanding spatial constraints, object semantics, and human-robot teaming. His work integrates neural logic learning and dictionary-based methods to enhance robotic scene comprehension and tactile interaction. Recent contributions address challenges in touch detection, common reality interfaces, and mutual understanding between humans and machines. His publications span topics like motion diagnostics, augmented reality integration, and collaborative frameworks. Despite no explicit awards mentioned, his work reflects sustained innovation in human-robot systems. Advising and grants details are currently unavailable. He is part of Wichita State’s academic community, contributing to teaching and research in robotics and related fields.

Lukáš MakkyView profile

Associate Professor

• Aesthetic Theory
• Structuralist and Semiotic Analysis
• Prehistoric Art Interpretation
• +2 more

Lukáš Makky is an Associate Professor at the Institute of Aesthetics and Art Culture within the Faculty of Arts at the University of Prešov, specializing in aesthetic theory, prehistoric art interpretation, and structuralist analysis. His academic journey includes degrees in History, English Literature, and Aesthetics, culminating in a 2015 doctoral thesis on prehistoric aesthetics. He coordinates UNESCO Philosophy Day Night and holds editorial roles at ESPES and Codex Historico-Critica. Makky's research explores aesthetic frameworks for ancient artifacts, poststructuralist theory, and definitions of art. His work consistently addresses the boundaries of artistic interpretation across historical periods. His publications demonstrate a focus on semiotic analysis of prehistoric cultures, ethical dimensions of authenticity, and critical reappraisals of Walter Benjamin's theories. He has led multiple grants including VEGA projects on Slovak aesthetic history and KEGA initiatives on empathy in art education. As principal investigator for '150 Years of the End of Art' (2017-2020), he examined philosophical perspectives on artistic evolution. His editorial work includes volumes on peripheral art spaces and metamorphoses in cultural centers. Makky is an active member of the International Association for Aesthetics and Society for Aesthetics in Slovakia. He serves on editorial boards while teaching courses spanning film theory, art interpretation, and critical analysis at bachelor's and master's levels.

Mary PetersonView profile

Professor

• Cognitive Science
• Perception
• Figure-Ground Perception
• +4 more

Mary Peterson is a Professor in the Department of Psychology at the University of Arizona, serving as Director of the Cognition Science Program and Chair of the Cognitive Science Graduate Interdisciplinary Program. She also holds roles in the Evelyn F. McKnight Brain Institute and the School of Mind, Brain and Behavior, leading the Visual Perception Laboratory. Her research focuses on perceptual organization, figure-ground perception, and the interplay between memory and visual processing. She investigates how semantic information, context, and prior experience influence object detection and spatial cognition. Dr. Peterson’s work spans developmental, computational, and neuroscientific perspectives, addressing topics like aging effects on perception, attentional mechanisms, and the neural underpinnings of visual segmentation. She employs methodologies such as eye tracking, EEG, and fMRI, collaborating across disciplines to bridge cognitive psychology and neuroscience. Her lab explores how humans segment objects from backgrounds, integrate sensory input with conceptual knowledge, and adapt perceptual strategies based on context and task demands. Key areas include the role of inhibition in figure-ground competition, the impact of semantic priming on visual attention, and the development of object perception in infancy. She has contributed to debates on predictive coding, hierarchical Bayesian models, and the influence of memory on perception. Her recent work examines aging-related changes in perceptual processing, linking neural mechanisms to behavioral outcomes in older adults.

James BrockmoleView profile

Professor

• Visual Attention
• Visual Memory
• Gaze Control
• +3 more

James Brockmole is a Professor and Department Chair at the University of Notre Dame’s College of Arts and Letters. His research bridges visual attention, memory, and spatial cognition, with a focus on how gaze control and embodied cognition influence perception. He has held leadership roles including Associate Dean for the Social Sciences and Editor-In-Chief of Psychonomic Bulletin & Review . Brockmole earned his Ph.D. from the University of Illinois at Urbana-Champaign and completed a postdoctoral fellowship at Michigan State University. His work employs eye-tracking methodologies to study real-time cognitive processes, particularly in dynamic environments. Research interests include the interplay between attention and memory, the impact of aging on visual cognition, and the role of tool use in spatial perception. His lab’s interdisciplinary approach addresses questions like how attentional biases affect learning and decision-making, and how technological interventions (e.g., gaze-based systems) can mitigate mind wandering in educational settings. Recent work explores the cognitive mechanisms underlying art perception, human-AI interaction, and the neural correlates of statistical learning. Articles highlight trends in mind wandering detection, math anxiety’s impact on attention, and the computational modeling of gaze behavior during scene viewing. His contributions to cognitive science have advanced methodologies in visual cognition and shaped educational technology design.

Marianne GullbergView profile

Professor

• Second Language Acquisition
• Bilingualism
• Language Processing
• +3 more

Marianne Gullberg is a Professor of Psycholinguistics at Lund University, where she serves as Director of the Lund University Humanities Lab and Director of Huminfra , Sweden's national infrastructure for humanities research. She leads the research programs TEAM (Transdisciplinary Approaches to Learning, Acquisition, Multilingualism) and LAMiNATE (Language Acquisition, Multilingualism, and Teaching) , and previously co-founded the Nijmegen Gesture Centre at the Max Planck Institute for Psycholinguistics. Research Focus : Adult second language acquisition, bilingual processing, gesture production/comprehension, and multimodal communication. Leadership : President of the International Society for Gesture Studies , Vice-president of the European Second Language Association (2000-2007), and active in national and international academic societies. Honors : 2019: European Second Language Association Distinguished Scholar Award 2019: Swenson Prize in Humanities 2014: Rausing Prize in Humanities 2013: Wallenberg Scholar 2010: Lars & Eva Gårding’s Prize in Linguistics Multiple academy memberships including Academia Europaea and Royal Swedish Academy of Sciences Editorial Roles : Editor/Associate Editor for Language Learning , Frontiers in Psychology: Language Sciences , Gesture , and others.

Hang DaiView profile

Professor

• Computer Vision
• Medical Image Segmentation
• 3D Object Detection
• +2 more

Dr. Hang Dai is transitioning to a Full Professor position at Wuhan University after serving as Honorary Research Fellow at the University of Glasgow's School of Computing Science. His research spans computer vision, medical image analysis, and autonomous driving systems. With over 26 publications, he develops deep learning methods for 3D segmentation, object detection, and video enhancement. Research areas include: Advanced 3D semantic segmentation for LiDAR data Semi-supervised medical image analysis Multi-modal fusion for autonomous vehicles Current projects focus on certainty-guided contrastive learning for medical imaging and attention mechanisms for depth super-resolution.