Find Academic Supervisors

Brenda RinardView profile

Lecturer

• Rhetoric
• Genre Theory and Pedagogy
• Multilingual Writing
• +3 more

Brenda Rinard is a Continuing Lecturer and Assistant Director of the Writing Across the Curriculum (WAC) Program at the University of California, Davis. She specializes in teaching advanced composition and discipline-specific writing courses, including UWP 101, UWP 104D, and graduate-level writing seminars. Her work focuses on rhetoric, genre pedagogy, multilingual writing, and cross-disciplinary writing initiatives. Rinard has held administrative roles in writing programs at both UC Davis and Stanford University, where she developed curricula for international students. Education : Ph.D. in Education (Language, Literacy, and Culture), UC Davis, 2010 MA in English Composition, San Francisco State University, 2002 BA in English (High Honors), UC Berkeley, 1997 Research Interests : Genre theory, writing transfer to professional contexts, STEM writing instruction, and large-classroom pedagogy. Current projects explore genre awareness as a bridge between academic and workplace writing. Awards : Nominated twice for the ASUCD Excellence in Education Award (2012, 2014) Grants & Service : Principal Investigator on a Spencer-Teagle grant (2008–2010); active in writing program administration, grant-writing consulting, and peer review for Gifted Child Quarterly and NCTE. Labs/Teams : Core contributor to UC Davis’s WAC Program and the Area Three Writing Project.

Anna PotView profile

Researcher

• Affective Science
• Linguistics
• Cognitive Aging
• +3 more

Anna Pot is a Postdoctoral Scholar in the Department of Psychology at Stanford University, specializing in Affective Science. Her research focuses on the intersection of language, aging, and cognitive processes, particularly in multilingual/migrant populations. Key areas include language barriers affecting elderly migrants, cognitive effects of bilingualism in aging adults, and the role of language use in promoting wellbeing. Research interests emphasize sociolinguistic factors impacting health outcomes, intergenerational communication challenges, and neurocognitive aspects of language proficiency. She investigates how multilingualism influences cognitive reserve and how language policies can support aging populations. Her work has explored topics such as phonetic convergence in interactions, alcohol's impact on language production, and diagnostic tools for academic literacy. This spans both theoretical contributions (e.g., cognitive models of bilingual aging) and applied solutions (e.g., language awareness programs for migrant communities).

• Thin Films
• Material Science
• Oxide Materials
• +4 more

Guus Rijnders is a Full Professor at the University of Twente in the Department of Inorganic Materials Science. His research focuses on advanced materials synthesis and characterization, particularly thin films, oxide materials, and ferroelectric systems. With expertise in pulsed laser deposition techniques, he investigates novel materials for electronic, energy storage, and sensor applications. Research interests encompass nanomaterials science, with emphasis on designing and optimizing functional materials through controlled growth processes. Key areas include perovskite oxides for energy applications, nanoscale ferroelectric phenomena, and developing oxide superlattices with tailored electronic properties. His work bridges fundamental materials science with device engineering for next-generation technologies. Recent publications demonstrate extensive work on ferroelectric capacitors, perovskite thin films, and oxide interfaces. Research trends show consistent focus on energy storage materials, nanoscale characterization techniques, and novel synthesis methods for complex oxides. Articles frequently explore structure-property relationships in functional materials with applications in electronics and energy conversion. He maintains active collaborations across Europe and internationally, contributing to multidisciplinary projects in materials research. His group utilizes advanced fabrication and characterization facilities at the MESA+ Institute.

Marco MagginiView profile

Professor

• machine learning
• neural networks
• kernel machines
• +6 more

Marco Maggini is a Full Professor in the Department of Information Engineering and Mathematics at the University of Siena, a position he has held since joining the university in 1996. His academic career spans over 25 years with foundational expertise in computer engineering and artificial intelligence, focusing on theoretical and applied machine learning research. His educational background includes: Laurea degree (cum laude) in Electronics Engineering from the University of Florence (1991) Ph.D. in Computer Engineering and Control Systems from the University of Florence (1995) Prof. Maggini's research encompasses machine learning, neural networks, kernel machines, and the integration of symbolic and sub-symbolic knowledge systems. He extends these foundations into practical applications including web mining, search engine technology, pattern recognition, natural language processing, and computer vision. This interdisciplinary approach bridges theoretical computer science with real-world implementation challenges across multiple domains. Analysis of his 15 most recent publications (2023-2025) reveals a dominant focus on multilingual NLP applications, particularly educational puzzle generation for low-resource languages (Italian, Arabic, Persian, Turkish) using LLMs. His work demonstrates consistent innovation in named entity recognition, commonsense reasoning evaluation, and cross-lingual adaptation techniques. Secondary research threads include medical imaging segmentation, molecular property prediction, and AI security vulnerabilities, reflecting his broad technical mastery across computer vision, bioinformatics, and adversarial machine learning. No specific scientific awards were mentioned in the provided documentation, though his editorial roles indicate peer recognition within the academic community. While student mentoring details are absent from the source material, his position as Full Professor and leadership of SAILab imply active graduate supervision. His extensive publication record (120+ papers) and editorial service suggest significant research grant involvement, though specific funding sources remain undocumented. He directs the Siena Artificial Intelligence Laboratory (SAILab), which serves as an interdisciplinary hub for advancing machine learning theory and applications. The lab's current projects emphasize educational technology, multilingual NLP systems, and the integration of symbolic reasoning with neural architectures, maintaining strong industry and international academic collaborations.

Andrew ThompsonView profile

Researcher

• Nineteenth-Century Literature
• George Eliot Studies
• Dante and Italian Literature
• +7 more

Andrew Thompson is an academic at De Montfort University, affiliated with the School of Humanities and Performing Arts within the Faculty of Arts, Design and Humanities. He holds a PhD in English from the University of Cardiff and has established a robust research profile in 19th-century literature, particularly focused on George Eliot and her intellectual, cultural, and political contexts. His educational background includes a BA in English from Cambridge University, an MA in Linguistics (TESOL) from the University of Surrey, and a PhD in English from Cardiff University. These qualifications underpin his interdisciplinary research and teaching expertise. Thompson’s research centers on the Victorian novel, especially George Eliot’s works, with a strong emphasis on her engagement with Italian culture, Dante, the Risorgimento, and Darwinism. He explores themes of moral philosophy, national identity, exile, and intertextuality, often bridging literary analysis with historical and philosophical inquiry. His work reflects a deep commitment to textual scholarship, as seen in his critical editions of Eliot’s notebooks. His recent publications reveal a sustained focus on George Eliot’s research practices, annotations, and literary sources, particularly her use of Dante and Italian history. The articles span from the 1990s to 2021, showing long-term scholarly dedication. Key trends include manuscript studies, intellectual history, and the intersection of literature with science and politics. Fellow of the Higher Education Academy Thompson has contributed significantly to academic discourse through critical editions, book chapters, and peer-reviewed articles. While no formal students or research grants are listed, his editorial work and collaborations (e.g., with William Baker) suggest active scholarly partnerships. His early work in medical English education (MEDERA project) also highlights interdisciplinary outreach. He is affiliated with the Institute of English at DMU, where he contributes to research group activities. His work on George Eliot’s notebooks and Anglo-Italian cultural mediation situates him within a vibrant scholarly community focused on Victorian literature and transnational influences.

Yonathan ArbelView profile

Professor

• Artificial Intelligence
• Commercial Law
• Consumer Law
• +3 more

Yonathan Arbel serves as the William Alfred Rose Professor of Law and Director of the AI Legal Studies Initiative at the University of Alabama School of Law, where he has been a faculty member since 2017. His interdisciplinary scholarship bridges artificial intelligence, commercial law, and economic analysis, establishing him as a leading voice in law and technology. His educational background includes: Doctoral degree in law and economics from Harvard Law School (Olin and Byse fellow) JSM degree from Stanford Law School Joint degree in Law and Humanities (summa cum laude) from Hebrew University in Jerusalem Professor Arbel's research integrates doctrinal, economic, and socio-legal methodologies to address contemporary challenges in contract interpretation, defamation, and AI regulation. His work demonstrates exceptional innovation in applying machine learning to legal text analysis and developing market-based solutions for information integrity. He has pioneered empirical approaches to studying contract readability and nano-contracts, while his status theory of defamation law redefines traditional frameworks through sociological lenses. His publication trajectory reveals a strategic pivot toward AI-law intersections since 2022, with 10 of 15 most recent articles focusing on artificial intelligence applications, regulation, and safety. This builds upon his foundational work in commercial law and defamation, creating a cohesive research program examining how technological change reshapes legal doctrines and enforcement mechanisms. His scientific recognition includes: Olin and Byse fellowships at Harvard Law School Winner of the American College of Consumer Financial Services Writing Competition (2021) Four teaching distinction awards Multiple selections for prestigious workshops including Stanford/Yale/Harvard Junior Faculty Forum As Director of the AI Legal Studies Initiative, Professor Arbel leads interdisciplinary collaborations exploring regulatory frameworks for emerging technologies. His publicly available teaching tools—including the Hypo Name Generator and Law Review Article Template—demonstrate commitment to pedagogical innovation. Prior consultancy experience (2010-2017) informs his practical approach to contract design and regulatory implementation. The AI Legal Studies Initiative serves as his primary research hub, fostering cross-disciplinary dialogue between legal scholars, computer scientists, and policymakers to address pressing challenges in algorithmic accountability and AI governance.

• Mathematical Statistics
• Probability Theory
• Applied Statistics
• +3 more

Ernst Hansen is an Associate Professor at the Department of Mathematical Sciences, University of Copenhagen . He is based at University Park 5, Copenhagen Ø, and his work spans mathematical statistics, probability theory, and applied statistical modeling in public health and finance. Email: erhansen@math.ku.dk Research areas: Public health interventions, Markov chain applications, measure-theoretic probability, and statistical education His publications include textbooks and peer-reviewed articles on topics such as neck/shoulder pain prevention , continuous-time rating transition probabilities , and geometric drift analysis . While his work intersects with causal inference and stochastic processes, no formal awards or student advising records are documented in the provided texts.

Maziar RaeinView profile

Associate Professor

• Graphic Design
• Typography
• Visual and Spatial Ability
• +5 more

Maziar Raein is an Associate Professor at the Oslo National Academy of the Arts (KHiO) , specializing in Graphic Design and Methodology. He holds a BA (Hons) in Fine Art and an MA in Independent Film from Central Saint Martins (CSM). Before moving to Oslo, he taught on the BA Graphics course at CSM, leading the Context programme, and founded Codex Design, a brand identity agency that worked with companies like Lastminute.com. Research Focus : Visual and spatial ability, reflective practice, typographic archives, and audience engagement in music performance. Leadership Roles : Director of KHiO's Typographic Archive and Senior Advisor in Research at CEMPE (Centre of Excellence in Music Performance Education). His publications and projects explore interdisciplinary methodologies, asemic writing, and craftsmanship. Recent work includes the Radical Interpretations research program reinterpreting musical works for percussion. Scientific Contributions : Co-developed the landmark Writing-PAD project with Julia Lockheart. Recognized by HEFCE-FDTL for advancing creative writing models in art & design.

Florian HaasView profile

Senior Lecturer

• Linguistics
• Corpus Linguistics
• Historical Linguistics
• +5 more

Florian Haas is a Senior Lecturer in Linguistics at the Institute for English and American Studies , Friedrich Schiller University Jena , where he has taught since 2009 across BA, MA, and teacher training programs. His research focuses on recent morphosyntactic changes in English , contrastive linguistics , typology , and usage-based construction grammar , with a notable Habilitation thesis on the history of human impersonal pronouns in English. Education : PhD in Linguistics (2008, Free University of Berlin, summa cum laude), MA in European Master's Degree in Linguistics (2002), MA in English Studies (2002). His research interests span corpus-driven analysis of language change, cross-linguistic contrasts (particularly English-German), and cognitive approaches to grammar. His publications emphasize diachronic shifts in pronouns, genre-specific linguistic patterns, and constructionist analyses of syntax. He has supervised numerous student theses on topics like political framing, bilingualism, and sociolinguistic variation in English. Academic service includes roles as Erasmus coordinator, reviewer for journals like Journal of Pragmatics , and memberships in societies such as the Association for Linguistic Typology .

Karin LeistnerView profile

Researcher

• Magneto-ionic Materials
• Nanoelectrodeposition
• Magnetic Nanostructures
• +5 more

Dr. Karin Leistner serves as Group Leader for Nanoelectrodeposition and Magneto-ionic Materials at the Leibniz Institute for Solid State and Materials Research Dresden (IFW Dresden). Her research focuses on the intersection of electrochemistry and magnetism, developing energy-efficient methods for voltage-controlled magnetic nanostructures. Her primary research interests include Magneto-ionic Materials , Nanoelectrodeposition , Magnetic Nanostructures , and Voltage-Controlled Magnetism . Through electrochemical approaches, she pioneers methods to manipulate magnetic properties at the nanoscale without requiring external magnetic fields, enabling applications in low-power spintronics and memory devices. Her work emphasizes redox transformations, electrolytic gating, and interfacial engineering to achieve programmable magnetism in hybrid metal/oxide systems. Analysis of her publication trends reveals consistent innovation in magneto-ionic effects (2021-2025), with increasing focus on microscale patterning (2023-2025) and energy-efficient device applications . Her research spans fundamental electrochemistry (e.g., self-terminated electrodeposition) to applied nanotechnology (e.g., magnetoresistance switching aerogels), demonstrating strong translational potential. Recent work integrates advanced characterization techniques like Kerr microscopy with electrochemical control for precise magnetic manipulation. Dr. Leistner has delivered over 20 invited talks at international institutions including TU Chemnitz, Forschungszentrum Jülich, and Simon Fraser University, highlighting her recognition as a leading expert in electrochemically controlled magnetism. Her collaborative research spans multiple continents, with publications co-authored by teams in Germany, USA, Mexico, Austria, and Slovenia. She leads research activities within IFW Dresden's nanoelectrodeposition laboratory, utilizing specialized electrochemical cells coupled with in situ magnetic characterization. Her group maintains strong collaborations with transmission electron microscopy facilities for real-time observation of electrochemical deposition processes, as demonstrated in joint work with the Wigner Research Centre for Physics.

Daniel SteinView profile

Professor

• American Popular Culture
• Graphic Narratives
• Serial Storytelling
• +5 more

Daniel Stein is a full Professor of North American Literary and Cultural Studies at the University of Siegen and currently serves as Dean of the Faculty of Arts and Humanities . He co-edits the Anglia: Journal of English Philology , the oldest English philology journal globally, and leads the SIEGN book series on graphic narratives. As part of the DFG Research Unit Popular Seriality and the Collaborative Research Center 1472 , he explores digital transformations of serial popular culture. PhD from Georg-August-University Göttingen Master's in American Studies from Johannes Gutenberg-University Mainz Former lecturer at University of Michigan His research spans superhero comics , science fiction serials , and 19th-century city mystery novels , focusing on how serial forms shape cultural memory and identity. Recent work examines digital fan forums as epitexts and transnational adaptations like Spider-Man manga. He has published extensively on paratextual negotiations in popular media and race representation in graphic narratives. Key editorial roles include: Co-editor of The Cambridge Companion to the American Graphic Novel (2023) Editor of Comics and Videogames (2021) Founding member of the African Atlantic Research Group Active in meme studies and digital humanities , his work traces the evolution of popular culture from print to digital platforms, emphasizing participatory canon formation and identity politics in fan communities.

• Library and Information Science
• Bibliometrics
• Information Behavior
• +5 more

Brady D. Lund is an active researcher in Library and Information Science with significant contributions to bibliometrics, information behavior, and the ethical implications of artificial intelligence in scholarly communication. His research spans multiple domains including data science ethics, information literacy, and public library services, with particular attention to how digital technologies impact information practices across diverse populations. Lund's research interests focus on the intersection of information science and emerging technologies, particularly examining how AI systems affect scholarly publishing practices, research ethics, and information behavior. His work on ChatGPT's impact on academic writing and AI authorship policies has been particularly influential in library and information science circles. He also investigates information literacy among vulnerable populations, including rural older adults during the pandemic, highlighting the critical role of libraries in community information ecosystems. Analysis of Lund's recent publications reveals a clear trajectory toward examining the ethical dimensions of AI in information contexts, with increasing focus on transparency frameworks, data privacy, and the practical implementation of AI systems in professional settings. His collaborative work spans multiple disciplines, connecting information science with healthcare, cybersecurity, and public policy. Lund demonstrates strong collaborative patterns, frequently working with Ting Wang and Nishith Reddy Mannuru across multiple publications. His research shows methodological diversity, employing both quantitative bibliometric approaches and qualitative investigations of information behavior. While specific grant funding isn't detailed in the publication records, his work addresses significant societal challenges related to information access, digital equity, and ethical technology implementation.

Rune Johan KrumsvikView profile

Professor

• Artificial Intelligence
• Digital Learning
• ICT in Education
• +8 more

Rune Johan Krumsvik is a Professor of Education at the University of Bergen (UiB) and Professor II at Volda University College. He founded the Digital Learning Communities (DLC) research group (2007) and the Western Norway Graduate School of Educational Research II (WNGER II). His affiliations include editorial roles at the Nordic Journal of Digital Literacy (Editor-in-Chief) and Frontiers in Pediatrics (Associate Editor). Professor, Department of Education, UiB (2010–) Professor II, Volda University College (2003–) Honorary Research Fellow, University of Bristol His research spans artificial intelligence , doctoral education , ICT in schools , formative assessment , and classroom management in technology-dense environments. He explores connections between AI, social media, mental health, and digital competence, with recent work focusing on large language models (LLMs) in education and healthcare. Scientific publications show a focus on AI applications ( 76 peer-reviewed articles , h-index 31). Key trends include: EdTech implementation in Norwegian primary/secondary schools AI in formative/summative assessment Digital competence frameworks Classroom technology management Teacher education digital skills Mental health impacts of screen time Scientific awards: Teaching Award , UiB Faculty of Psychology (2012) Excellent Teaching Practitioner accreditation (2020) Supervision includes: Main supervisor for 12 PhD candidates (11 completed) Co-supervisor for 6 PhD candidates Supervisor for 14 master’s and 12 bachelor’s students He leads the Digital Learning Communities Artificial Intelligence Centre (DLCAIC), focusing on AI research in education/healthcare, societal impacts of AI, and digital competence development.

Stuart JohnstoneView profile

Professor

• Biological psychology
• Psychophysiology
• ADHD assessment and diagnosis
• +7 more

Professor Stuart Johnstone is a prominent researcher and educator in the School of Psychology at the University of Wollongong. He has held academic positions at UOW since 1999, progressing from Lecturer to his current role as Professor since 2018. He previously served as Deputy Head of School (Teaching and Learning) from 2020-2023 and Acting Head of School in 2024. He also maintains a Visiting Professor position at Zhejiang Normal University's Faculty of Special Education since 2018. His educational background includes a PhD and Bachelor of Science (Honours Class I) from the University of Wollongong, followed by post-doctoral work at the University of Sydney's Department of Psychological Medicine. He is a Registered Psychologist with the Australian Health Practitioner Regulation Agency (2001-2022). Johnstone's research focuses on neurophysiological approaches to understanding and treating ADHD, particularly using brain electrical activity measures to improve assessment and diagnosis. His work spans biological psychology, psychophysiology, and developmental psychology, with emphasis on neurocognitive training interventions for children with ADHD. He has developed innovative approaches to ADHD assessment that incorporate EEG measurements alongside traditional clinical evaluations. His publication record demonstrates consistent focus on ADHD neurophysiology, with recent work expanding into cross-cultural applications, portable EEG technology for educational settings, and animal-assisted interventions. His research shows growing emphasis on practical applications of neurocognitive assessment and training, with increasing attention to remote delivery methods and cross-cultural validity of interventions. UOW Vice-Chancellors Award for Outstanding Achievement in Research Commercialisation (2013) UOW Vice-Chancellors Award for Global Strategy (2018) Johnstone actively supervises numerous PhD students, with current projects examining sleep patterns in ADHD, human-dog interactions for wellbeing, and test anxiety in school children. His research is supported by multiple grants including external funding from the Prevention Research Support Program and internal University of Wollongong grants focused on neurocognitive assessment and training. His work has strong international collaboration, particularly with Chinese institutions. He coordinates courses in Biological Psychology and Psychophysiology and has developed international educational programs in Singapore. His research group focuses on translating neurophysiological findings into practical assessment tools and interventions for ADHD, with recent work emphasizing portable technology and cross-cultural applications.

Can LiuView profile

Assistant Professor

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

Dr. Can Liu is an Assistant Professor at the School of Creative Media, City University of Hong Kong, where she leads the ERFI Lab (Laboratory of Empirical Research for Future Interfaces). Her research focuses on designing future interfaces for ubiquitous technologies through empirical understanding of human cognition and behavior, with emphasis on multimodal interaction combining physical and digital elements. Education: PhD in Human-Computer Interaction, Université Paris-Sud (France), INRIA labs ex)situ and ILDA MSc in Media Informatics, RWTH Aachen University (Germany) Dr. Liu's research spans three primary domains: AI-assisted Input (using LLMs/NLP to enhance text manipulation and speech interfaces), Spatial Computing (multimodal interfaces for AR/VR and large displays), and Hybrid/Remote Collaboration (supporting intuitive remote interaction through understanding collocated collaboration). Her work integrates empirical user studies with real-world system deployments in public spaces. Recent publications demonstrate strong trends toward LLM-integrated interfaces, wearable computing applications, and novel interaction techniques for foldable devices. Her team consistently publishes at top venues including CHI, UIST, and CSCW, with increasing focus on practical AI integration for everyday tasks. Awards and Recognition: Best Paper Award at ACM CHI 2014 (top 1%) Honourable Mention at ACM CHI 2012 (top 5%) Dr. Liu actively mentors PhD students and researchers while securing substantial research funding including Google Faculty Research Awards, National Natural Science Foundation grants, and RGC Early Career Schemes. She serves on numerous program committees including ACM CHI (Associate Chair 2024, 2022, 2021, 2020, 2019, 2017) and co-organizes research initiatives like the HCIX Summer Research Program. Her laboratory ecosystem includes the ERFI Lab, affiliation with the Augmented Materiality Lab and Kowloon Interaction Center, and active participation in the Greater Bay HCI community, supporting both fundamental research and industry collaboration with partners including Google, Huawei, and Lenovo.