Find Academic Supervisors

Donald E. BrownView profile

Professor

• Data Fusion
• Knowledge Discovery
• Predictive Modeling
• +5 more

Donald E. Brown is the W.S. Calcott Professor in the Systems and Information Engineering Department at the University of Virginia, serving as Founding Director of the Data Science Institute and Co-Director of the Translational Health Institute of Virginia. He holds a B.S. from the United States Military Academy (1973), M.S. and M.E. from UC Berkeley (1979), and a Ph.D. from the University of Michigan (1985). His research focuses on data fusion, knowledge discovery, and predictive modeling with applications in healthcare, security, and safety. Dr. Brown leads over 90 federal/state/private research projects, publishes extensively (120+ papers, 2 books), and is a Fellow of the IEEE. He has received prestigious awards including the Norbert Wiener Award and IEEE Millennium Medal. His work bridges academia and industry through Commonwealth Computer Research, Inc., providing data analysis services. He advises on national committees including the National Research Council and the NRC Committee on Transportation Security. His teaching excellence was recognized by students three times as 'best undergraduate teacher' (2001–2003). Research Interests: Data Fusion, Knowledge Discovery, Simulation Optimization, Machine Learning, Predictive Analytics Publications: Focus on healthcare analytics (e.g., Long COVID, tuberculosis, histopathology), AI-driven medical imaging (capsule endoscopy, eosinophil segmentation), and cybersecurity applications. Awards: IEEE Joseph Wohl Career Achievement Award (2017), Governor's Technology Award (1999), Norbert Wiener Award (2002). Grants/Projects: Over 90 funded projects on data science, healthcare tech, and security systems. He leads interdisciplinary initiatives like the iTHRIV Commons for health data sharing and develops AI tools for medical diagnostics at UVA. Current work includes AI in cardiovascular disease prediction, perioperative data digitization for LMICs, and real-time anomaly detection in healthcare systems.

• Natural Language Generation
• Artificial Intelligence
• Machine Learning
• +7 more

Dr Yaji Sripada is a Senior Lecturer in the School of Natural and Computing Sciences at the University of Aberdeen. His research integrates artificial intelligence, machine learning, natural language generation (NLG), and information visualization to enhance human-machine communication, particularly in automating data science workflows and ensuring model transparency. His research interests are centered on Natural Language Generation , Explainable AI , Human-Computer Interaction , and Fairness, Accountability, and Transparency in AI . He has pioneered work in generating textual summaries from complex data, especially in healthcare and environmental monitoring. His research bridges technical AI development with real-world applications in public transport, neonatal care, and digital governance. His recent publications (2023–2025) reflect a strong trend towards AI ethics , regulatory policy , and the integration of large language models (LLMs) in public infrastructure and automated verification. He also holds multiple patents in NLG and data processing technologies, underscoring his translational research impact. Dr Sripada is a co-founder of Arria NLG, a leading company in data-to-text technology, and has advised numerous researchers and students in AI and NLG. His collaborative work spans disciplines including computer science, environmental science, transportation, and law. He has contributed to policy discussions on AI regulation and copyright, demonstrating engagement with societal implications of AI. His work on bias amplification in generative AI highlights his commitment to responsible innovation. His research has been applied in diverse domains, including neonatal intensive care (e.g., BT-Nurse system), rural transport systems (e.g., TravelBot), and environmental data communication (e.g., river level reporting). He continues to lead innovative projects at the intersection of AI, data science, and human-centered design.

Virginie ROCHE-TIENGOView profile

Lecturer

• Irish theatre from the 17th to the 21st century
• Myths and borders
• Writing and language
• +6 more

Virginie ROCHE-TIENGO is a Lecturer in English Studies at Artois University, Faculty of Foreign Languages and Civilizations, where she has taught since 2022. Prior to this, she served at University of Paris 13 (Sorbonne Paris Nord) from 2004 to 2022, holding significant administrative positions including Vice-Dean for International and Institutional Relations (2018-2022) and Head of Master's programs. Her academic career spans over two decades with specialized expertise in Irish theater studies, particularly focusing on Brian Friel's works and Irish cultural representation. Her educational background features: 2003: Doctorate in Anglophone Studies from the University of Paris 4 Sorbonne. Dissertation: "The Lost Unity: Poetics of Myth in the Work of Irish Playwright Brian Friel." Supervised by Professor Élisabeth Angel-Perez. Awarded first class honors. Dr. ROCHE-TIENGO's research encompasses Irish theater from the 17th to the 21st century, with particular interest in myths and borders, writing and language, law and theater, enforced disappearances and diaspora, Irish theater and intercultural transfers, the Anglo-Irish conflict in visual and performing arts, dichotomies, hermeticism and transcendence in theater, and syncretism of Irish theater with other arts. Her scholarship demonstrates deep engagement with Irish cultural identity, political dimensions of theater, and the intersection of literature with legal and social frameworks across centuries of Irish dramatic production. Her publication record reveals a consistent scholarly trajectory focused on Irish theater, particularly the works of Brian Friel, while expanding into broader themes of cultural representation, diaspora, and intercultural exchange. Her research shows progression from close textual analysis of specific playwrights toward more expansive investigations of Irish cultural production in global contexts, including examinations of food representation, monetary symbolism, and the legacy of historical figures like Molière in Irish theater. The interdisciplinary nature of her work bridges literary studies, theater studies, cultural studies, and legal studies. Dr. ROCHE-TIENGO maintains active involvement in the academic community through service on scientific committees for international conferences, including the Spanish Association for Irish Studies (AEDEI) and the Nordic Irish Studies Network. Since 2023, she has served on the reading committee of the biannual scientific journal "Les Cahiers de la Nouvelle / Journal of the Short Story in English." Her international scholarly presence is evidenced by presentations at conferences across Europe, Japan, Mexico, Argentina, and the United States, reflecting the global significance of her research on Irish theater and culture.

• Human-Computer Interaction
• Social Computing
• Artificial Intelligence
• +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.

Boyan Paskalev BontchevView profile

Professor

• Software Architecture
• E-Learning Systems
• Adaptive Hypermedia
• +5 more

Boyan Paskalev Bontchev is a Professor in the Department of Software Technologies at Sofia University's Faculty of Informatics. With a PhD in Computer Science from the Center of Informatics and Computer Technology - Bulgarian Academy of Sciences, he has established himself as a prominent academic in software engineering and educational technology fields. His academic career includes teaching Java Server/Side Programming and OOAD-UML courses at Sofia University and New Bulgarian University since 2000. Professor Bontchev's research focuses on e-learning systems, adaptive hypermedia, and software architecture. His work centers around developing self-adaptive educational platforms, with significant contributions to the ARCADE e-learning platform that complies with IEEE LTSA standards. He has published extensively on topics including courseware composition, learning content interoperability, and assessment frameworks, demonstrating a consistent research trajectory in educational technology systems. His publications reveal a strong emphasis on practical applications of educational technology, particularly in self-adaptive hypermedia navigation, e-learning courseware delivery, and assessment interoperability. The research shows progression from foundational work on software architecture to increasingly sophisticated adaptive learning systems that incorporate learner modeling and personalized educational experiences. Professor Bontchev maintains active industry connections, having worked as a software engineer and project manager at companies including Rila Solutions, ESDI Ltd., and OBLOG Software Ltd. His international experience includes research stays at the University of Vienna and Technical University of Aachen, contributing to his broad perspective on educational technology development. With proficiency in multiple programming languages and environments including Java, JSP, Oracle, and web technologies, he bridges theoretical computer science with practical educational applications. His multilingual capabilities (English, Portuguese, German, Russian, Spanish) further enhance his international research collaborations and academic contributions.

Alexander SteenView profile

Assistant Professor

• Computational Logic
• Automated Reasoning
• Theoretical Computer Science
• +7 more

Alexander Steen is an Assistant Professor (Juniorprofessor) at the University of Greifswald within the Institute of Mathematics and Computer Science. His research focuses on computational logic, automated reasoning, and theoretical computer science, with significant contributions to higher-order logic (HOL) and non-classical reasoning systems. He leads the development of the Leo-III automated theorem prover, a versatile system supporting classical HOL with choice, polymorphic logics, and higher-order modal/deontic logics. Steen's academic journey includes a Dr. rer. nat. (summa cum laude) from Freie Universität Berlin (2018), followed by post-doctoral work at the University of Luxembourg (2018-2021) as a principal investigator for the AuReLeE project on legal reasoning automation. He holds a 2024 nomination for the University of Greifswald Teaching Award and was elected Fellow of the Academy of Sciences and Humanities in Hamburg (2022). Key Research Areas: Higher-Order Logic, Automated Reasoning, Non-Classical Logics, Legal Tech, Formal Methods in AI, Computational Ethics. Major Projects: Leo-III (DFG-funded automated prover), AuReLeE (FNR-funded legal reasoning), MET (modal logic embedding tool). His recent publications (2025-2022) explore diverse applications of HOL in non-classical reasoning, legal formalization, argumentation frameworks, and TPTP infrastructure extensions. Steen actively contributes to AI governance as co-speaker of the GI AI section and deputy member of Greifswald's Senate. He also engages in science communication through works like the 2024 science comic book Was wissen wir schon (What Do We Know?), featuring his automated reasoning research. Scientific Honors: CLAR 2023 Best Paper Award, IRIS 2020 LexisNexis Best Paper Award, CASC-27 LTB Division Winner, Woody Bledsoe Travel Awards (CADE 2018, 2016), GI Junior Fellowship (2018). Advising: Supervises ongoing PhD/MSc/BSc theses in logic-based AI, modal reasoning, and legal tech at University of Greifswald and Freie Universität Berlin.

• Language Usage Science
• Phonology
• Morphology

Prof. Dr. Gencer Elkılıç is a Full-time Professor at the Department of Western Languages and Literatures within the Faculty of Arts and Sciences at Kafkas University , Turkey. With a career spanning over two decades at the same institution since 2001, he has held administrative roles including Dean, Department Chair, and Director of Vocational Schools. His academic journey began with a PhD in English Language Teaching from Atatürk University (2000), preceded by an MA in Teaching English as a Foreign Language (1995) and BA in Foreign Language Education (1990).

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

Bettina FritzscheView profile

Professor

• Educational Research
• Qualitative Research Methods
• Ethnography
• +6 more

Prof. Dr. Bettina Fritzsche is a Professor of General Educational Science with a focus on qualitative research methods at the Institute of Educational Science , University of Education Freiburg. She serves as Dean of Studies, Faculty I, and Head of BA/MA Educational Science programs. Her research examines educational practices through reconstructive methodologies, ethnography, and videography, with particular attention to cultural comparison, vulnerability, and inclusion/exclusion dynamics in pedagogical settings. University: University of Education Freiburg Role: Professor, Dean of Studies, Program Head Departments: Institute of Educational Science Email: bettina.fritzsche@ph-freiburg.de Research Focus: Fritzsche specializes in reconstructive educational research , analyzing teacher-student interactions and institutional norms through a cultural comparative lens . Her work applies Judith Butler's recognition theory to study how heterogeneity and inequality manifest in schools, particularly through policies aimed at inclusion. She investigates meta-ethnographic synthesis and methodological pluralism to understand cross-cultural educational practices. Article Trends: Her publications emphasize praxeological approaches to schooling, ethnographic case studies , and transnational educational comparisons . Key themes include vulnerability production , symbolic exclusion , and pedagogical border-drawing , with methodological innovations in videography and cultural translation .

• Evidence Synthesis
• Systematic Reviews
• Meta-analysis
• +4 more

Dr Kaitlyn Hair is a Research Fellow at the Evidence for Policy and Practice Information Centre (EPPI Centre) within the Social Research Institute at University College London (UCL), holding a Wellcome Early Career Award. Her work focuses on automating evidence synthesis for dementia and neuroscience research to accelerate translational discovery. Her academic credentials include: Doctor of Philosophy, University of Edinburgh (2017-2021) Bachelor of Science (Honours), University of Glasgow (2012-2016) Hair specializes in developing computational tools for evidence synthesis, particularly in neurodegenerative diseases like Alzheimer's. Her research integrates systematic reviews, meta-analyses of preclinical models, and automation technologies to address fragmented evidence in biomedical research. She leads projects on living evidence summaries and deduplication tools like ASySD, emphasizing reproducibility and real-time data integration. Analysis of her recent publications reveals a strong trajectory toward AI-driven evidence synthesis, with increasing focus on living systematic reviews, natural language processing for intervention extraction, and cross-disease applications in stroke and chemotherapy-induced neuropathy. Her work bridges neuroscience, informatics, and methodological innovation. Key recognition includes: Wellcome Early Career Award Hair's grant portfolio centers on her Wellcome-funded project developing automation for dementia evidence synthesis. She actively mentors early-career researchers in scholarly communication and collaborates internationally through initiatives like CAMARADES. Her advisory contributions focus on improving reporting standards (e.g., ARRIVE guidelines) and evidence-based policy. She operates within UCL's Social Research Institute (EPPI Centre), a hub for systematic reviewing, and previously contributed to the University of Edinburgh's CAMARADES meta-research group. Current efforts target scalable AI solutions for evidence integration across neurological disorders.

Anna WainwrightView profile

Associate Professor

• Gender Studies
• Race Studies
• Renaissance Literature
• +7 more

Anna Wainwright is an Associate Professor of Italian Studies and Core Faculty in Women's and Gender Studies at the University of New Hampshire, where she serves as the coordinator for the Italian Studies program. Her academic home is within the Department of Classics, Humanities, and Italian Studies in the College of Liberal Arts. Dr. Wainwright earned her B.A. from the University of Chicago and completed both her M.A. and Ph.D. at New York University. Her scholarly trajectory demonstrates deep commitment to interdisciplinary approaches that bridge literary analysis with historical and cultural studies. Her research focuses on gender, race, politics, community and emotion in medieval and early modern Italy, with particular attention to women's writing and the Counter-Reformation period. She has pioneered work on widowhood as a cultural and political phenomenon in Renaissance Italy, examining how widows functioned as both symbols of loss and active participants in community formation. Notably, she explores the intersection of AI, machine learning, and the future of humanities education, bringing contemporary technological concerns to bear on historical scholarship. Dr. Wainwright's publications reveal consistent engagement with questions of representation, authority, and identity formation in Renaissance Italy. Her work demonstrates how literary texts served as sites for negotiating complex social issues including gender roles, religious identity, and cross-cultural encounters. She has made significant contributions to understanding race in Renaissance literature through careful analysis of texts like Tasso's Armida, while also examining how women writers strategically positioned themselves within patriarchal discourse. National Endowment for the Humanities Research Council of Norway Renaissance Society of America Gladys Krieble Delmas Foundation Dr. Wainwright has secured substantial research funding from major granting organizations to support her scholarly work. Her teaching portfolio is extensive, covering courses from elementary Italian language instruction to specialized seminars on topics like 'Mamma Mia! Italian Motherhood' and 'Honors/Feelings.' She has demonstrated commitment to innovative pedagogy, particularly in developing approaches for teaching race in Renaissance contexts. Her editorial work, including 'Teaching Race in the European Renaissance: A Classroom Guide,' reflects her dedication to shaping how these important topics are addressed in university classrooms. As coordinator of the Italian Studies program, Dr. Wainwright leads curriculum development and faculty collaboration. Her translation of Leonora Bernardi's pastoral tragicomedy 'Clorilli' demonstrates her commitment to bringing understudied women's works to contemporary audiences. Her research projects often involve collaborative networks with scholars across institutions and national boundaries, reflecting her transnational approach to Renaissance studies.

Monica BarniView profile

Professor

• Educational Linguistics
• Multilingualism
• Language Policy
• +5 more

Monica Barni is a Full Professor at the Department of Modern Literature and Culture, Sapienza University of Rome, specializing in Educational Linguistics and Multilingualism. She serves as the President of the Degree Course in Communication and Interpreting in Italian Sign Language (LIS and LIST) and directs the Ateneo Linguistic Center. Her research spans language policy, Italian L2 education, and the sociolinguistics of migration. Research Interests: Analysis of linguistic policies in Italy and Europe Assessment of language competencies Plurilingual and intercultural education Linguistic landscapes in multicultural urban contexts Translation theory and practice Recent Article Trends: Her 2025 and 2024 publications focus on urban multilingualism, language transmission in migrant families, and policy intersections in education. Earlier works (2022-2023) examine Italian certifications, museum semiotics during pandemics, and European linguistic frameworks like CEFR. Labs & Teams: She leads the Ateneo Linguistic Center and contributes to the GISCEL research network. Her work intersects with projects like Lingua e cittadinanza (Language and Citizenship) and international collaborations in Italian language education.

Marianne TurnerView profile

Associate Professor

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

Steven ZhouView profile

Assistant Professor

• leadership
• personality
• vocational psychology
• +10 more

Steven Zhou is an Assistant Professor of Psychological Science at Claremont McKenna College, where he leads the STATS Lab (www.statslabatcmc.com). His academic work bridges quantitative methods with psychological research, focusing on leadership, personality, and vocational psychology. With methodological expertise in psychometrics, machine learning, and data visualization, he actively contributes to both academic and practitioner communities through research, teaching, and consulting. Dr. Zhou's educational background includes: PhD in Organizational Psychology + Certificate in Computational Social Sciences from George Mason University BA in Organizational Psychology + Certificate in Conflict Resolution from Pepperdine University His research program centers on developing and refining psychological assessments while investigating bias in measurement systems. Dr. Zhou specializes in forced-choice personality assessments, leadership evaluation methodologies, and career calling research. His work consistently addresses the gap between academic research and practical application in organizational settings, with recent projects incorporating large language models and agent-based simulations to study complex behavioral phenomena. Dr. Zhou's publication record shows a clear trajectory toward increasingly sophisticated methodological approaches to organizational psychology questions. His recent work demonstrates growing integration of computational techniques (machine learning, NLP) with traditional psychological research, while maintaining strong connections to practical organizational applications. The research consistently addresses measurement challenges in leadership assessment and career development. His notable scientific achievements include: 2025 Jablin Dissertation Award from the International Leadership Association and Jepson School of Leadership Studies 2025 Chapman Dissertation Award from the Network of Leadership Scholars and Academy of Management 2023 Dissertation Research Award from the American Psychological Association 2022 Free Inquiry Grant from the Foundation for Individual Rights and Expression 2022 Graen Grant for Student Research on Leaders and Teams from SIOP 2021 Kenneth E. Clark Student Research Award from ILA and Center for Creative Leadership 2021 Outstanding Graduate Student Instructor from GMU Department of Psychology Dr. Zhou actively mentors both graduate and undergraduate students, with numerous student co-authors across his publication record. He has secured nearly $40,000 in external research funding to support his work on leadership assessment and psychometric methodology. His professional service includes editorial roles for multiple journals and leadership positions within the Society for Industrial and Organizational Psychology. As director of the STATS Lab, Dr. Zhou leads a research team focused on applying quantitative methods to understand leadership, career development, and personality. The lab's five research pillars include Psychometrics & Measurement Science, Bias in Measurement & Analytics, Leadership Assessment & Team Dynamics, Integrating Novel Methods into Research, and Career Development & Vocational Psychology, all emphasizing both methodological rigor and practical application.

Gina-Maria PomannView profile

Associate Professor

• Biostatistics
• Bioinformatics
• Science of Team Science
• +5 more

Gina-Maria Pomann is an Associate Professor of Biostatistics & Bioinformatics at Duke University's School of Medicine, where she serves as Director of the Biostatistics, Epidemiology, and Research Design (BERD) Methods Core. She leads a diverse team of quantitative experts including biostatisticians, data scientists, and bioinformaticians who contribute to groundbreaking research across clinical and translational domains. Dr. Pomann earned her Ph.D. from North Carolina State University (2015) and has developed expertise in novel statistical methodology for functional data and brain imaging. She has directed 30 collaboration teams across medical fields including Pediatrics, Global Health Institute, and Neurosurgery. Her primary research focuses on the science of team science, developing administrative structures and workforce development programs to support data-intensive biomedical research. Her research program demonstrates a consistent focus on improving how quantitative scientists collaborate with biomedical researchers. Recent publications examine integrating large language models in biostatistical workflows, methods for building quantitative collaboration units, workforce development for biostatisticians, and the organizational aspects of team science. Her 15 most recent articles (2023-2025) span topics from AI in healthcare to statistical education and collaborative research structures, reflecting her dual expertise in methodological statistics and research organization. Dr. Pomann has developed significant workforce development initiatives: BERD Core Training and Internship Program (BCTIP) for Masters of Biostatistics students Duke AI Health Fellowship Program (two-year postgraduate training) R25 grant: "Quantitative Methods for HIV/AIDS Research" as MPI She holds a joint appointment at Duke National University of Singapore and has secured multiple NIH grants including CTSA UM1 (2025-2032), Quantitative Team Science Program (2024-2029), and Quantitative Methods for HIV/AIDS Research (2018-2028). Her leadership has enabled the BERD Core to assist over 1,100 investigators and produce more than 550 collaborative manuscripts, while training over 100 student interns and 40 staff members in data-intensive biomedical research.