Find Academic Supervisors

María Dolores Porto Requejo is a Professor at the Department of Modern Philology (Universidad Autónoma de Madrid), specializing in Cognitive Linguistics and Discourse Analysis . She is a key member of the research group DICo: Discurso, Identidad y Cognición , focusing on socio-cognitive aspects of discourse. PhD in English Philology (Universidad Autónoma de Madrid, 2004) Her research focuses on: Multimodal metaphor analysis Discourse strategies in digital media Socio-cultural embodiment in linguistic representations Emotion and attention dynamics in narratives Metaphor's role in political and social contexts Recent publications analyze metaphorical constructions of social change (water metaphors), polarization in digital news, and multimodal storytelling. Her work appears in journals like Discourse and Society , Metaphor and Symbol , and Language and Communication . She has contributed to various international conferences on cognitive linguistics, discourse analysis, and digital communication, including presentations at: 13th International Conference of the Spanish Cognitive Linguistics Association (2024) 21st International Congress of Linguists (2024) Waterphors 2024 conference (2024)

• Cognitive Linguistics
• Discourse Analysis
• Metaphor Studies
• +3 more

Dr. Tillman Weyde is a Reader in the Department of Computer Science at City, University of London , where he has been employed since 2021. He leads the Machine Intelligence and Media Informatics Research Group and is a member of the Machine Learning Group . Prior to this, he served as Senior Lecturer (2009–2021) and Lecturer (2005–2009) at City, and worked as a researcher at the University of Osnabrück (2001–2005), coordinating the MUSITECH project. His academic background includes PhD in Music Technology (2002), MSc in Computer Science (1999), and MSc in Mathematics, Music, Philosophy & Pedagogy (1994), all from the University of Osnabrück. Research Focus: Machine learning and signal processing methods for data analysis with applications in finance, audio, NLP, music, health, security, and education. His recent work emphasizes inductive biases in neural networks for rule-learning, extrapolation, generalization, and interpretability. Grants & Projects: Principal Investigator for the AHRC-funded Digital Music Lab (2012–2017) and Integrated Audio-Symbolic Model of Music Similarity (2017–present). Co-investigator in Innovate UK and EPSRC projects on safer gambling ( Advancing Consumer Protection , 2015–2018) and Raven (2012–2021). Collaborations: Affiliated with the Institute of Cognitive Science (Osnabrück), Intelligent Systems Research Laboratory (Reading), and the MPEG Ad-Hoc Group on Symbolic Music Representation. Awards: Co-author of the 2000 Comenius Medal-winning educational software Computer Courses in Music Ear Training and co-editor of the Osnabrück Series on Music and Computation . Publications: Over 150 peer-reviewed works including conference papers, journal articles, and book chapters, focusing on interdisciplinary applications of machine learning in music, health, and finance. Students: Supervised 13 PhD students across topics like grammar bias in neural networks, emotion recognition from audio, extrapolation behavior in neural networks, relation-based patterns, legal text parsing, and more.

• Machine Learning
• Signal Processing
• Data Analysis
• +5 more

Bongwon Suh is a Professor in the Department of Computer Science at the Korea Advanced Institute of Science and Technology (KAIST), College of Computing. With a prolific publication record spanning over two decades, Suh has established himself as a leading researcher in Human-Computer Interaction, Social Computing, and Artificial Intelligence applications. His research interests focus on Human-Computer Interaction, Social Computing, Artificial Intelligence, Large Language Models, Information Visualization, Recommender Systems, Multi-Agent Systems, and Accessibility Technologies. Suh's work often explores the intersection of social dynamics and technological systems, examining how AI and interactive systems can enhance human experiences in diverse contexts including education, entertainment, communication, and accessibility. Recent publications (2023-2025) demonstrate a strong focus on Large Language Model applications, with significant contributions in social simulation for education, conversational AI systems, multi-agent coordination, and accessibility technologies. His work frequently appears in top-tier venues including CHI, CSCW, UIST, and SIGIR, reflecting the high impact of his research. Suh has collaborated extensively with researchers across KAIST and internationally, with frequent co-authors including Changhoon Oh, Kyusik Kim, Hyungwoo Song, and Jeongwoo Ryu. His research program consistently bridges theoretical insights with practical applications, particularly in developing systems that enhance human social experiences through technology.

• Human-Computer Interaction
• Social Computing
• Artificial Intelligence
• +5 more

Dag Johansen is a Professor in the Department of Informatics at UiT The Arctic University of Norway, Tromso campus. His work spans multiple research areas at the intersection of computer science, sports science, medicine, health technology, and nutrition science. He leads the interdisciplinary "Corpore Sano" research center and is actively involved in several research groups including the Cyber Security Group (CSG) and Crime Control and Security Law. Professor Johansen's research focuses on developing fundamental software solutions for secure and error-free data processing in heterogeneous distributed systems, ranging from lightweight "Internet of Things" devices and mobile phones to large-scale cloud solutions. His work particularly emphasizes applications in sports technology, edge computing, and compliance technology. His research interests include distributed systems, cybersecurity, sports technology, edge computing, data privacy, AI for sports analytics, multimedia forensics, and compliance technology. His recent publication trends show a strong focus on AI applications for sports video analysis, particularly in soccer and ice hockey, where his team has developed AI-based cropping systems for social media representations. He also has significant work in data privacy and GDPR compliance, especially regarding the "third country problem," as well as applications of AI in sustainable fishing practices. His 2024-2025 publications demonstrate continued work in self-healing microservices, lightweight encryption for video feeds, and virtual reality training environments. Professor Johansen is actively involved in mentoring students and research collaborators, as evidenced by his extensive publication record with numerous co-authors including doctoral students and postdoctoral researchers. His work has received funding through various research projects focused on data analytics, privacy technology, cybersecurity, and sports technology applications. He leads the interdisciplinary "Corpore Sano" center, which brings together researchers from computer science, sports science, medicine, health technology, and nutrition science. His work also involves collaboration with the "Njord" project focused on sustainable fishing through AI applications, and he's involved in developing the "Áika" distributed edge system for AI inference.

• Distributed Systems
• Cybersecurity
• Sports Technology
• +7 more

Tania Allen is an Interim Department Head and Professor of Media Arts, Design and Technology at North Carolina State University's College of Design. She serves as a Faculty Fellow with the Center for Geospatial Analytics and co-directs the design research group co-lab, which focuses on critical mapping as a participatory design research tool. Her work bridges academic research with practical applications in community engagement and social justice. Her educational background includes: B.A. in History with Minors in Fine Arts/Graphic Design from Washington University Certificate in Visual Communication from the School of the Art Institute of Chicago Master of Graphic Design from North Carolina State University Allen's research centers on critical cartography and critical mapping as tools for design research. Building on theories from anthropology, action research, placemaking, and participatory design, her work seeks to 'thicken' the way data is visualized and the stories at the core of data collection and communication. Her approach emphasizes the reciprocal activity of encoding and decoding, bridging the researcher's perspective with the subject's lived experience. She challenges assumptions embedded in mapping processes while embracing cartography as both an analytic and synthetic research tool. Analysis of her publication trajectory reveals a clear evolution from foundational explorations of critical mapping toward concrete applications addressing social justice issues. Her recent work increasingly focuses on Confederate memorialization, urban development, and oppressive infrastructures, demonstrating her commitment to using design as a catalyst for community engagement and social change. This progression reflects growing sophistication in applying critical cartography to address systemic inequities. As a Faculty Fellow with the Office of Faculty Development, Allen helped create an online certificate program focused on higher-order thinking through critical and creative pedagogy. Her contributions to the TH!NK initiative have transformed campus teaching culture toward student-centered instruction that promotes critical thinking across disciplines. She has also taught Design Thinking, focusing on creative research strategies for beginning design students. Allen co-directs the cross-institutional colloquium 'Oppressive Infrastructures: Examining Systems of (in)Equity In/Through/By Data,' which investigates how data systems perpetuate inequality. Through her professional practice, she has worked with organizations including the Chicago Botanic Garden, Boston Symphony Orchestra, Accenture, MIT, and Harvard University, consistently focusing on design as a participatory process that empowers communities to address social issues and create change from the ground up.

• Critical Cartography
• Design Research
• Participatory Design
• +6 more

Yann LeCun is the Chief AI Scientist at Meta and holds the Jacob T. Schwartz Professorship at New York University in Computer Science, Data Science, Neural Science, and Electrical and Computer Engineering. He is a member of the National Academy of Engineering, National Academy of Sciences, and Académie des Sciences, and a fellow of ACM, AAAI, AAAS, and SIF. Research Interests: AI, Machine Learning, Computer Vision, Robotics, Computational Neuroscience, Physics of Computation. Labs: CILVR Lab (Computational Intelligence, Learning, Vision, Robotics), Computational and Biological Learning Lab at Courant Institute, Meta FAIR (Fundamental AI Research). Scientific Awards include the ACM Turing Award (2018), Queen Elizabeth Prize for Engineering (2025), VinFuture Grand Prize (2024), and multiple honoris causa doctorates. He has mentored numerous PhD students and postdocs, including Ying Wang, Yilun Kuang, and Quentin Le Lidec. Recent Publications focus on self-supervised learning, world models, video analysis, and representation learning, with key contributions to autonomous machine intelligence architectures.

• Artificial Intelligence
• Machine Learning
• Computer Vision
• +4 more

Prof. Fabio Galasso is a Full Professor in the Department of Computer Science at Sapienza University of Rome, where he heads the Perception and Intelligence Lab (PINLab). His research focuses on fundamental innovation in computer vision and machine learning, with particular emphasis on distributed intelligent systems, perception frameworks, and general intelligence within sustainable and interpretable AI contexts. His research interests span multiple domains of computer vision including video segmentation , motion forecasting , distributed intelligent systems , and shape reconstruction . Galasso's work emphasizes sustainable AI approaches that operate within constrained computational resources while maintaining interpretability and verifiability. His research bridges theoretical foundations with practical applications across retail, smart cities, and industrial settings. His recent publications demonstrate a clear progression toward increasingly complex human motion understanding and forecasting, with a strong emphasis on real-world applications. The research trajectory shows movement from foundational video segmentation techniques toward sophisticated motion prediction systems and anomaly detection frameworks that integrate multiple modalities. Key themes include temporal consistency, computational efficiency, and practical deployability in resource-constrained environments. His scientific achievements have been recognized with prestigious awards: 2019 IoT/WT Innovation World Cup 2019 Digital Champions Award 2018 Deutscher Digital Award Galasso has coordinated significant research initiatives including a Marie Sklodowska-Curie Actions project (Horizon 2020) and served as Principal Co-Investigator in multiple German-funded projects from the Ministry of Education and Ministry of Economics. His industry experience includes founding and directing OSRAM's Computer Vision Department in Munich, where he led R&D efforts connecting AI research with smart lighting applications, resulting in successful innovation transfers like the award-winning VISN product. He leads the Perception and Intelligence Lab (PINLab) at Sapienza University of Rome, fostering research that spans fundamental computer vision techniques to practical implementations in retail, smart cities, and industrial applications. The lab maintains strong connections with both academic institutions (including previous collaborations with University of Cambridge and Max Planck Institute) and industry partners.

• Computer Vision
• Machine Learning
• Artificial Intelligence
• +6 more

John M. Carroll is a Professor at The Pennsylvania State University , affiliated with the College of Information Sciences and Technology . He co-directs the Collaboration and Innovation Laboratory and leads the Center for Human-Computer Interaction . Secondary appointments span Computer Science and Engineering , Learning, Design and Technology , and Psychology . Education : Mathematics and Information Science (undergraduate), Experimental Psychology (Ph.D.) Research Focus : Human-Computer Interaction (HCI), community informatics, scenario-based design, and minimalist instructional models. Key Projects : Mobile timebanking systems, smart city initiatives, community data analytics, and accessibility technologies for visually impaired users. Scientific Awards include lifetime honors from ACM, IEEE, and AAAS. He has led NSF-funded projects on collaborative sensemaking, educational technology, and disaster response systems. His work bridges social theory, design practice, and computational innovation.

• Human-Computer Interaction
• Community Informatics
• Collaborative Systems
• +6 more

Karl Aberer is a full Professor for Distributed Information Systems at École polytechnique fédérale de Lausanne (EPFL) since 2000. From 2005 to 2012, he led the Swiss National Research Center for Mobile Information and Communication Systems (NCCR-MICS). Currently serving as Vice-President of EPFL responsible for information systems, he contributes to academic leadership while maintaining an active research profile. His research spans Distributed Systems Data Mining Machine Learning Social Computing Web Science Graph Neural Networks with recent work focusing on multimodal learning, federated unlearning, and social media analysis. He serves on the editorial boards of the VLDB Journal ACM Transactions on Autonomous and Adaptive Systems World Wide Web Journal and contributes to PeerJ Computer Science.

• Distributed Systems
• Data Mining
• Machine Learning
• +5 more

Wafa Aissa is a researcher affiliated with the CEDRIC Laboratory at Conservatoire National des Arts et Métiers (CNAM). Her work focuses on advanced topics in computer science and artificial intelligence, particularly in the domains of compositional visual reasoning and multimodal learning. Recent publications highlight her contributions to curriculum learning strategies and teacher-guided multimodal representations. These works align with the CEDRIC Laboratory's research axes in intelligent vision systems and machine learning. While specific details about her educational background, awards, or student supervision are not provided in the available text, her involvement in cutting-edge research is evident through her participation in international conferences and collaborations with researchers like M. Ferecatu and M. Crucianu.

• Computer Science
• Artificial Intelligence
• Machine Learning
• +3 more

Dr. Judith Riegert is a Research Associate at the Humboldt University of Berlin, Faculty of Humanities, Social Sciences, and Education, working at the Institute of Rehabilitation Sciences in the Department of Education for People with Intellectual Disabilities. She has been in this position since October 2016, with previous experience as Research Associate and Program Coordinator at the same institution. Her academic journey includes serving as Deputy Professor at Leibniz University Hannover (2016-2018) and as a Visiting Professor at Humboldt University (2019). 1997-2002: Studies at Justus Liebig University of Giessen and Heidelberg University of Education 2003-2004: Traineeship at Seminar for Didactics and Teacher Training Heidelberg 2004-2006: Special education teacher at Carl Orff Special School 2012: Completed doctorate (Dr. phil.) at Humboldt University Dr. Riegert's research focuses on educational theory questions in intellectual disability contexts, trans- and intermediality in inclusive literature teaching, pedagogical professionalization for inclusive subject teaching, and participation of adults with severe disabilities. Her work bridges theoretical frameworks with practical classroom applications, examining how to create meaningful learning experiences across subject areas while maintaining academic rigor. She investigates the tension between educational standards and individualized instruction, particularly in German, history, and mathematics education. Her recent publications demonstrate a strong focus on participation frameworks for people with severe disabilities, inclusive teaching methodologies across subject areas, and the development of pedagogical approaches that bridge educational theory and classroom practice. Her work consistently addresses the challenge of maintaining subject integrity while adapting instruction to diverse learning needs. November 5, 2014: Prize for Good Teaching 2014 from Humboldt University's Faculty of Humanities, Social Sciences and Education February 16, 2016: Honorary certificate from Polytechnische Gesellschaft Foundation for the 'Animals in Numbers' project Dr. Riegert provides academic advising for special education and primary school teaching students (surnames He to Z), supervises bachelor's and master's theses, and offers consultation hours both in person and via Zoom. Her advising focuses on supporting students in the M.Ed. program, particularly addressing application concerns and transcript issues. As a member of the German Society for Educational Science (DGfE), she contributes to research teams examining inclusive education methodologies and implementation of inclusive practices across educational settings.

• Inclusive Education
• Special Education
• Pedagogy for Intellectual Disabilities
• +5 more

Eva Svärdemo Åberg is a Senior Lecturer at the Department of Education, Stockholm University, where she serves as director of the master's programme in Education and the 'Design for learning' specialization. She is an active member of the Higher Education Learning Practices (HELP) research group, which engages in theoretical and empirical research on different aspects of higher education. Her research primarily focuses on academic writing, designs for learning, representation of knowledge, assessment practices and multimodal analysis of interaction and learning activities in different educational settings. Her work spans both theoretical frameworks and practical applications in educational contexts, with particular attention to how students develop academic skills and how teachers facilitate this process. Dr. Svärdemo Åberg's publications demonstrate a consistent engagement with educational theory and practice, with particular emphasis on how academic writing and multimodal communication function in educational settings. Her recent work shows increasing attention to collaborative design approaches and the challenges of implementing educational reforms in practice. She has contributed significantly to understanding how scientifically based working methods are represented in upper-secondary school diploma projects and how these texts relate to preparation for higher education. Her research often draws on new literacy studies and design theoretical perspectives. Dr. Svärdemo Åberg has been involved in projects examining teaching and learning experiences during the pandemic, documenting how both students and teachers adapted to emergency online teaching at Stockholm University.

• Academic Writing
• Designs for Learning
• Representation of Knowledge
• +3 more

Dan Gutfreund is a Principal Research Scientist and Senior Manager at the MIT-IBM Watson AI Lab, focusing on machine learning with applications to natural language processing and computer vision. He previously held managerial and technical roles at IBM's Haifa Research Lab and was involved in IBM Project Debater. Gutfreund earned his PhD in computer science from the Hebrew University in Jerusalem in 2005. His research spans Neuro-Symbolic AI , Computational Complexity , and Foundations of Cryptography , with notable contributions to datasets like Moments in Time and ObjectNet . His recent work includes multimodal models for the metaverse, generative AI for engineering design, and simulator-assisted training for interpretable systems. Gutfreund's publications reflect expertise in AI applications for supply chain prediction, avatar personalization, and reconciling virtual disputes. He has also explored evolutionary algorithms for software engineering and constraint-based generative models in design tasks.

• Machine Learning
• Natural Language Processing
• Computer Vision
• +3 more

Dr. Jenifer Jasinski Schneider serves as Interim Dean and Professor of Literacy Studies in the College of Education at the University of South Florida. Her leadership spans academic administration, research innovation, and community literacy initiatives, with significant contributions to K-12 writing instruction and children's literature scholarship. She earned her Ph.D. in Language, Literature, and Reading Education from The Ohio State University, establishing foundational expertise in literacy development and pedagogical theory. Dr. Schneider's research centers on children's composing processes through arts-based approaches, examining how process drama and children's literature foster symbolic development and meaning-making. Her work explores digital literacies' impact on multimodal composition, Irish children's literature through Fulbright-supported research in Ireland, and family literacy initiatives across diverse community contexts. She investigates evolving student strategies for print-based and digital text communication, emphasizing inclusivity and technological integration. Analysis of her recent publications reveals strong trends in diversity and inclusion through immersive technologies, interdisciplinary writing instruction (particularly mathematics integration), and critical digital literacies in post-truth discourse. Her scholarship bridges theoretical frameworks with practical classroom applications, consistently addressing contemporary challenges in teacher preparation and K-12 literacy education. Key scientific recognition includes: Fulbright Scholar award for research in Ireland Dr. Schneider has directed the Suncoast Young Authors Celebration for 20 years, championing student writing achievement, and currently serves on the Hillsborough Literacy Council Board. She pioneered open-access educational resources through her digital textbook The Inside, Outside, and Upside Downs of Children's Literature , demonstrating commitment to accessible pedagogy and community engagement in literacy advancement.

• Literacy Studies
• Children's Literature
• Arts-Based Literacy Education
• +3 more

Marianne Turner is an Associate Professor in Bilingual Education and TESOL at Monash University's School of Curriculum Teaching & Inclusive Education. Her research focuses on developing socially equitable understandings of language and building capacity for multilingual approaches across educational settings. She has established significant collaborations with Victorian Department of Education and Catholic Education through funded research projects. Her primary research interests include: Translanguaging as a framework addressing social inequity Integration of EAL and content-based learning in English-speaking contexts Language teacher pre-service education and professional development Content and language integrated pedagogies (CLIL) Educating for diversity and inclusion through multilingual strategies Recent publications demonstrate a clear trajectory toward practical implementation of translanguaging in Australian classrooms, with emphasis on teacher development, digital multimodal approaches, and policy frameworks. Her work consistently bridges theoretical concepts like trans-semiotizing with classroom applications through projects involving Home Languages in English Classrooms and Plurilingual Pedagogy initiatives. Turner actively disseminates research through teacher associations (VicTESOL, MLTAV), government resources, and media engagement. Current projects include English as an Additional Language (EAL) pedagogy development for secondary classrooms (2025) and Home Languages in the English Classroom research (2021-2022). She has supervised PhD students focusing on translanguaging approaches but is currently not accepting new candidates. Her research contributes to UN Sustainable Development Goals through advancing educational equity and inclusive language practices.

• Bilingual Education
• Teaching English to Speakers of Other Languages (TESOL)
• Translanguaging
• +5 more