Find Academic Supervisors

Mary DavisView profile

Professor

• Academic Integrity
• Inclusive Education
• Universal Design for Learning
• +3 more

Professor Mary Davis is a Professor (Education and Student Experience) at Oxford Brookes Business School, serving as the institutional Academic Integrity Lead. Her work focuses on enhancing academic integrity through inclusive practices, particularly Universal Design for Learning (UDL) and ethical AI use. She chairs the Diversity & Inclusion Subcommittee and leads initiatives to improve teaching and learning for all students. Her roles include managing pre-master’s programs, supervising postgraduate writing projects, and contributing to staff development via HEA standards and Explore programs. Dr. Davis holds a PhD in Education from the Institute of Education (UCL), alongside MA TESOL, BA(Hons) in French and German, and certifications in TEFL. Her research explores academic writing development, neurodiverse students’ phraseology use, and policy inclusivity. With over 250 citations and 9,000+ reads on ResearchGate, her work appears in journals like the International Journal for Educational Integrity (impact factor 4.6). She actively contributes to international conferences and professional bodies, including the International Centre for Academic Integrity (ICAI) Board and the European Network for Academic Integrity (ENAI). Her recent articles emphasize inclusive academic integrity practices and AI’s role in education. She has delivered keynotes on UDL in academic integrity across global conferences, advocating for equitable policies. As an experienced external examiner, she has reviewed programs at 8 universities, including PhD theses and pre-sessional courses.

Amanda SladekView profile

Associate Professor

• Composition Pedagogy
• Literacy Studies
• World Englishes
• +3 more

Amanda Sladek is an Associate Professor in the Department of English at the University of Nebraska at Kearney (UNK), within the College of Fine Arts and Humanities. She serves as an editor for special issues in academic journals and teaches courses ranging from first-year composition to advanced rhetoric theory. Her research focuses on antiracism, linguistic justice, and innovative pedagogical strategies in writing instruction. Dr. Sladek holds a Ph.D. in English from the University of Kansas (2016) and a B.A. in English and Psychology from Midland University (2011). Her scholarship bridges writing studies, literacy theory, and sociolinguistics, with recent work addressing gendered language in academic discourse and digital tools for teaching language variation. Her courses include ENG100A (English for Academic Purposes), ENG303 (Introduction to Linguistics), and specialized topics such as 'Rural Literacies' and 'Writing Instruction and Multiple Literacies.' She has contributed to pedagogical resources like NCTE's Dynamic Activities for First-Year Composition and co-edited a special issue on writing studies and historical English language studies. Publications highlight her commitment to inclusive education, including studies on translingual grammar pedagogy and autoethnographic methods to combat linguistic prejudice. Her work has appeared in Composition Studies , Across the Disciplines , and Teaching Language Variation .

Marco HutterView profile

Professor

• Robotics
• Intelligent Systems
• Autonomous Navigation
• +4 more

Prof. Marco Hutter is a Full Professor at the Department of Mechanical and Process Engineering at ETH Zürich, and Deputy Head of the Institute for Robotics and Intelligent Systems. His research focuses on advanced robotics, including autonomous legged systems, robotic perception, and control strategies for challenging environments. He leads projects in areas such as forest inventory using legged robots, space exploration robotics, and mobile manipulation systems. His work emphasizes real-world deployment, with contributions to robotic navigation, sensor integration, and policy optimization. Prof. Hutter collaborates on large-scale datasets and frameworks like ROS-LLM for embodied AI, and explores applications in logistics, construction, and planetary exploration. His team develops both hardware (e.g., LEVA logistic vehicles) and software solutions (e.g., risk-guided diffusion models for safety-critical systems). Key projects include ETHcavation (construction environment understanding) and TartanGround (robot perception datasets). He pioneers work in agile locomotion policies, magnetic climbing robots, and multi-agent robotic teams for parcel delivery. His research bridges theoretical advancements with practical implementations, addressing challenges in terrain adaptation, energy efficiency, and robustness in autonomous systems.

Jean-Marc OdobezView profile

Adjunct Professor

• Computer Vision
• Machine Learning
• Deep Learning
• +6 more

Jean-Marc Odobez is a Senior Scientist at the IDIAP Research Institute and Adjunct Professor at the Swiss Federal Institute of Technology Lausanne (EPFL), where he is affiliated with the School of Engineering and serves on the Electrical Engineering Doctoral committee (EDEE). He leads the Perception & Activity Understanding Group at Idiap and has extensive teaching responsibilities across multiple departments. Dr. Odobez received his PhD in Computer Science from Rennes University in 1994. His research focuses on multimodal perception systems combining computer vision, statistical machine learning, and deep learning for activity recognition, behavior understanding, and human-robot interaction. His work spans diverse application domains including human health assessment, social robotics, and media content analysis. His recent research shows strong trends in gaze estimation, human activity recognition, and multimodal processing. His team has developed innovative solutions for gaze tracking, head pose estimation, and activity recognition using depth sensors and neural networks. His work increasingly bridges computer vision with digital humanities, particularly in the analysis of ancient Maya glyphs. IEEE member Associate Editor of Machine Vision and Applications journal Dr. Odobez has supervised numerous PhD students and serves as a committee member for the Electrical Engineering Doctoral program. He has been principal investigator for over 16 European and Swiss research projects and has worked on 10 technology transfer projects with SMEs. He co-founded Klewel SA and Eyeware SA, focusing on eye tracking and attention modeling technologies. His research group actively collaborates with industry partners and maintains strong connections with the computer vision and human-computer interaction research communities.

Jen Jen ChungView profile

Associate Professor

• Robotics
• Artificial Intelligence
• Machine Learning
• +6 more

Associate Professor Jen Jen Chung holds a position in Mechatronics at the School of Electrical Engineering and Computer Science, The University of Queensland. Her research focuses on robotic perception, planning, and learning, particularly in mobile manipulation, navigation through human crowds, and adaptive sampling. Prior to UQ, she was a Senior Researcher at ETH Zurich (2018–2022) and a Postdoctoral Scholar at Oregon State University (2014–2017). Her PhD from the University of Sydney (2014) centered on exploration strategies for autonomous systems. She also holds a B.E. in Engineering from the University of Sydney (2010). Education: PhD in Robotics, University of Sydney (2014) Bachelor of Engineering, University of Sydney (2010) Research interests span robotic manipulation , navigational algorithms , and learning-based systems . Current projects include developing robots that understand human-centric environments and optimizing path planning in dynamic settings. Her work integrates machine learning and perception to solve real-world robotics challenges. Grants and collaborations involve multi-agent systems and autonomous navigation. She leads the Robotic Perception, Planning, and Learning (RPPL) Lab , advancing research in manipulation and environmental interaction. Her contributions include over 60 peer-reviewed publications, with recent work on soft robotics and environmental impact-aware path planning.

• Artificial Intelligence
• Cognitive Psychology
• Educational Technology
• +3 more

Tobias Thejll-Madsen is a PhD Student and Tutor at the University of Glasgow's School of Psychology & Neuroscience. His research bridges cognitive psychology, artificial intelligence, and educational technology, with a focus on theory of mind in AI, learner behavior in digital education, and affective computing. He has contributed to studies analyzing facial expression communication and memory mechanisms. Institution: University of Glasgow Role: PhD Student (Tutor) Research interests include artificial intelligence's cognitive underpinnings, educational technology's impact on learning, and the intersection of neuroscience with computational models. His work on lecture recording usage patterns explores how peer norms influence student behavior, while his AI-focused research examines large language models' ability to understand social cues. Publications span topics like affective modeling advancements, mnemonic discrimination processes, and educational reflection frameworks. He co-developed the Reflection Toolkit to enhance evidence-based assessment practices. His work frequently integrates interdisciplinary approaches, combining empirical psychology with computational methods. No scientific awards listed. Currently engaged in tutoring and research activities within the School of Psychology & Neuroscience.

• Neuroscience
• Psychiatry
• Cognitive Neuroscience
• +3 more

Dr Tineke Grent-'T-Jong is an Affiliate in the School of Psychology & Neuroscience at the University of Glasgow. She specializes in investigating neural oscillations and their role in schizophrenia and psychosis. Her work combines magnetoencephalography (MEG) and neuroimaging techniques to study circuit dysfunctions in clinical populations. Research focuses include gamma-band oscillations, auditory processing deficits, and biomarkers for early psychosis detection. Education No formal education details explicitly provided in text, though her academic contributions suggest advanced degrees in neuroscience or related fields. Research Interests Dr Grent-'T-Jong's work revolves around understanding neural mechanisms underlying psychosis and schizophrenia through neurophysiological methods. Key topics include: Gamma-band oscillations and their disruption in psychiatric disorders Thalamo-cortical circuit dysfunction in schizophrenia MEG-based biomarkers for clinical high-risk populations Neurochemical correlates (GABA/glutamate) in auditory cortex Articles Trends Her recent work emphasizes translational neuroscience, linking neural oscillatory patterns to clinical outcomes. Studies often integrate multimodal neuroimaging (MEG/EEG) with computational models to explore circuit-level abnormalities in early psychosis. A key focus is identifying biomarkers predictive of clinical transitions. Awards No scientific awards explicitly mentioned in the provided text. Grants & Advising While specific grants are not listed, her collaborative research (e.g., with Prof. Uhlhaas) suggests involvement in funded projects. No formal advisee names are provided in the text. Labs/Teams Affiliated with schizophrenia and neuroimaging research groups at the University of Glasgow, collaborating internationally with institutions like the University of Cologne and University of Zurich.

Fabio FasoliView profile

Senior Lecturer

• Auditory Gaydar
• Sexual Prejudice
• LGBTQ+ Rights
• +5 more

Dr. Fabio Fasoli is a Senior Lecturer in Social Psychology at the University of Surrey, based in the School of Psychology within the Faculty of Health and Medical Sciences. He holds roles as Programme Leader for the Social Psychology MSc, co-director of the Sex, Gender, and Sexualities Research Centre, and Chair of the University Rainbow Network. He earned his PhD in Social Psychology from the University of Trento (2011) and has held postdoctoral positions across Europe before joining Surrey in 2016 as a Marie Sklodowska-Curie Fellow. His research focuses on auditory gaydar, derogatory language, LGBTQ+ rights, and gender equality. Key areas include the social perception of sexual orientation via voice cues, the impact of language on stigma, and body image in digital contexts. He collaborates internationally with scholars like Anne Maass and David Frost. Notable projects include investigations into voice-based discrimination, body positivity trends, and barriers for LGBTQ+ researchers in STEM. Fasoli’s work has been featured in outlets such as the Daily Mail and NY Post. He co-leads the University’s Institute for Sustainability and serves as Secretary of the International Association of Language and Social Psychology (IALSP). Current research explores narrative CVs’ role in reducing bias and improving funding equity for underrepresented groups.

Cuihua ShenView profile

Professor

• Computational Social Science
• Multimodal Misinformation
• AI-Mediated Environments
• +3 more

Cuihua (Cindy) Shen is a Professor of Communication at the University of California, Davis, and co-founder of the Computational Communication Research lab. She is affiliated with the Computational Social Science Designated Emphasis and the East Asian Studies program. Her research focuses on computational social science, online social networks, and AI-mediated misinformation. Dr. Shen holds a Ph.D. from the Annenberg School for Communication & Journalism at the University of Southern California, an M.A. from the National University of Singapore, and a B.A. from Zhejiang University. Her work combines big data analysis with surveys and experiments to study phenomena such as social network structures, misinformation diffusion, and user behavior in platforms like Facebook, WeChat, and MMORPGs. Her research has been funded by the NSF, Facebook, and Google Cloud, and has appeared in top journals including Journal of Computer-Mediated Communication and New Media & Society . Education: Ph.D., USC Annenberg (2010); M.A., National University of Singapore (2005); B.A., Zhejiang University (2003) Dr. Shen’s research interests span two core areas: (1) social network dynamics in online platforms, and (2) multimodal misinformation in AI-driven ecosystems. She has received multiple top paper awards, including the Fulbright U.S. Scholar Award. She serves as an Associate Editor at Journal of Computer-Mediated Communication and led the Computational Methods Division at the International Communication Association (2017–2022). Her recent work examines strategies to combat misinformation through digital literacy interventions and explores how exogenous events shape public discourse on social media. Key publications include studies on Twitch.tv well-being dynamics, context collapse management on WeChat, and fact-checking mechanisms in Chinese TikTok. Awards: Fulbright U.S. Scholar Award, Top Paper Awards (ICA 2015–2023), Carolyn Dexter Award Nominee Editorial Roles: Founding Associate Editor at Computational Communication Research , Past Chair of ICA’s Computational Methods Division Dr. Shen advises on computational communication methods and leads interdisciplinary teams in studying online behavior. Her lab collaborates on projects funded by major institutions, focusing on both theoretical advancements and practical solutions to digital misinformation challenges.

René SchäferView profile

Researcher

• Human-Computer Interaction
• User Interface Design
• Ethical Technology
• +3 more

René Schäfer is a Researcher at RWTH Aachen University's Department of Computer Science, specializing in Human-Computer Interaction (HCI). His primary focus is countering deceptive patterns in user interfaces and developing ethical design strategies. He has contributed to projects like RIME (textile interfaces) and ARPen (mid-air interaction), and coordinates the university's Fab Lab. As the i10 librarian, he manages publication databases and library systems. His research spans dark patterns, accessible AI applications, and tactile interfaces. He has supervised over 30 student theses, emphasizing deceptive pattern mitigation and HCI ethics. Schäfer actively reviews for top conferences like CHI and NordiCHI, and co-organizes academic workshops. His work bridges theoretical HCI research with practical tools, such as Flowboard for embedded programming education and tactile slider evaluations. Key contributions include cross-cultural studies on linguistic barriers in HCI, collaborative strategies against online booking deceptive practices, and developing generative AI solutions for digital accessibility. His 2020 master’s thesis on ARPen interaction design showcases his long-standing interest in innovative UI paradigms.

Natthapoj Vincent TrakulphadetkraiView profile

Associate Professor

• Mathematics Education
• Educational Research
• Pedagogy
• +5 more

Dr. Natthapoj Vincent Trakulphadetkrai is an Associate Professor of Mathematics Education at the University of Reading's Institute of Education. He specializes in integrating storytelling into mathematics teaching and learning, leading the international research consortium MathsThroughStories.org . His roles include Co-Director of the ITE and Professional Practice Research Centre, Deputy Director of the EdD program, and Module Convenor for multiple undergraduate and postgraduate courses. Education: PhD in Mathematics Education (University of Cambridge), MSc in International Public Policy (UCL), MSc in Comparative and International Education (University of Oxford), BA (Hons) in Primary Education (Brunel University). Research Focus: Gender representation in educational materials, language proficiency impacts on mathematical learning, and the role of visualization in supporting learners with ADHD. Key projects include ESRC Policy Fellowships on early-years mathematics and a British Academy grant to improve mathematical talk through story creation. Awards: Multiple teaching excellence nominations, research awards for best output and collaboration, and leadership in national education organizations like BERA and ATM. He supervises over a dozen PhD/EdD students, focusing on topics ranging from computer science education to cross-cultural mathematics pedagogy. His work has been cited in journals like Journal for Research in Mathematics Education and Frontiers in Education .

Liudmila KlimanovaView profile

Associate Professor

• Language Studies
• Multilingualism
• Multiculturalism
• +7 more

Dr. Liudmila Klimanova is an Associate Professor in the Department of Russian and Slavic Studies at the University of Arizona's College of Humanities. She holds affiliations with the Human Rights Practice Program and the National Center for Interpretation. Her research focuses on the intersection of language studies, multilingualism, multiculturalism, and technology, with a particular emphasis on Computer-Assisted Language Learning (CALL) and digital pedagogy. She serves as Core Faculty and Social-Cultural Dimensions Area Chair in the Second Language Acquisition and Teaching (SLAT) doctoral program, and co-directs the LLC Commons curricular resource project for Russian language instruction. Dr. Klimanova also leads the Footprints initiative, which trains language teachers in place-based learning and critical pedagogies. She is Editor-in-Chief of the Russian Language Journal and an Associate Editor for the Issues in the Teaching of East European and Eurasian Languages and Cultures series, while serving as Secretary for the Computer-Assisted Language Instruction Consortium (CALICO). Her teaching spans courses in Russian Studies, human rights in Eurasia, and language and digital media. Recent research explores virtual exchange dynamics, identity construction in digital spaces, and equitable technology integration in language education. She advocates for multilingualism and critical digital literacies through projects like hashtag-based identity performance studies and telecollaborative learning initiatives. Dr. Klimanova’s work bridges theoretical and applied aspects of language education, emphasizing technology’s role in fostering intercultural competence and social justice. Her publications address challenges such as marginalized learners’ representation in virtual exchanges and the semiotics of digital communication. She actively mentors students exploring technology’s impact on language identity and global communication.

• Human-Robot Interaction
• Social Robotics
• Cognitive Load Measurement
• +3 more

Dr. Muneeb Ahmad is a Senior Lecturer in Computer Science at Swansea University, specializing in human-centered robotics and adaptive interaction systems. His research integrates human-computer interaction principles with intelligent robotics to develop socially engaging systems. Research Focus: Dr. Ahmad's work explores trust dynamics, cognitive load measurement, and adaptive behaviors in human-robot interaction, with applications in education, healthcare, and assistive technologies. His key research themes include: Psychophysiological measurement of trust and cognitive load Cross-cultural adaptation in social robots Multimodal interaction systems Reinforcement learning for adaptive behaviors Ethical implications of social robotics Recent publications demonstrate innovations in robot design for elderly care, trust optimization algorithms, deception detection systems, and fair interaction frameworks. His methodological approaches combine machine learning with human-centered design principles. Dr. Ahmad actively contributes to the research community as General Chair of the International Conference on Human-Agent Interaction and Guest Editor for ACM Transactions in Human-Robot Interaction.

• Recommender Systems
• Privacy Issues in AI
• Fake News Detection
• +3 more

Özlem Özgöbek is an associate professor at the Department of Computer Science at NTNU, focusing on recommender systems, privacy in AI, and fake news detection. She holds a part-time role as a program manager at the Norwegian Research Center for AI Innovation (NorwAI) since November 2023. She coordinates the International Work-Integrated-Learning in Artificial Intelligence (IWIL AI) project and actively participates in organizing committees such as the INRA Workshop Series and the Norwegian Big Data Symposium (NOBIDS). She collaborates with the Center for Excellent IT Education (Excited) center, contributing to advancements in semantic web technologies and machine learning applications in education. Her research bridges academic and industrial challenges, emphasizing ethical AI deployment and user-centric systems. Key contributions include multimodal fake news detection frameworks, educational technology innovations, and sustainable wardrobe recommendation systems leveraging Linked Open Data. She has organized multiple international workshops (e.g., INRA 2021–2023) and contributed to benchmarking initiatives like MediaEval’s news image analysis tasks. Her academic work spans over 30 peer-reviewed publications since 2014, including studies on classroom interaction tools, privacy perceptions in recommender systems, and the Adressa news dataset for evaluation purposes. She maintains strong ties with collaborative projects such as the IWIL AI initiative, fostering international education-industry partnerships in AI.

• Children's Literature
• Girlhood Studies
• Fat Studies
• +12 more

Maria Österlund is an Associate Professor in the Department of Culture, History and Philosophy at Åbo Akademi University, Faculty of Humanities, Psychology and Theology. She is based in Finland and conducts interdisciplinary research at the intersection of children's literature, girlhood studies, fat studies, and visual literacy. Her work is deeply embedded in Nordic literary traditions, particularly Finland-Swedish literature. Her research interests include: Girlhood and female adolescence in literature Fat studies and body representation in young adult novels Silence and narrative voice in children’s books Trauma, evacuation, and historical memory in picturebooks Multilingualism in early childhood literature Word art as both artistic expression and pedagogical tool Her recent publications reveal a strong thematic continuity, focusing on identity, embodiment, and literary form. She frequently collaborates with scholars such as Maria Lassén-Seger and contributes to edited volumes and critical anthologies. Her work bridges academic research and public discourse, often engaging with contemporary debates on children’s literature and education. She has received notable scientific awards, including: Astrid Lindgren Foundation’s Solkatten research grant (2001) Young & Promising Scholar award from the International Research Society for Children’s Literature (1999) Hagforsmedaljen (2015) Handledarepriset (2016) Kanslers guldkantsstipendium (2019) Maria Österlund is actively involved in advising and academic service, including doctoral thesis evaluations, peer review, editorial work, and organizing research networks and workshops. She is a principal researcher in two major projects: 'Swedish children’s literature research and criticism in Finland' and 'Scientific anthology on word art as an art form and pedagogy in Swedish in Finland'. These projects emphasize collaboration, critical analysis, and educational innovation. She also leads the Ordkonstnätverket (Word Art Network) at Åbo Akademi, fostering interdisciplinary dialogue around literary arts.