Find Academic Supervisors

• Chinese Philosophy
• Buddhist Philosophy
• Chinese Literature
• +4 more

Dr. Yasuhiro Takahashi is a Japanese scholar and Assistant Professor at Waseda University History Museum , with additional affiliations at Jumonji University, Shirayuri University, Nishogakusha University, and Komazawa University. His academic career spans over 15 years, focusing on Chinese philosophy, historical literature, and East Asian cultural transitions. Doctor of Literature (2021) from Waseda University Active member of Sangokushi Gakkai and The Sinological Society of Japan His research interests center on classical Chinese thought, particularly Three Kingdoms period scholarship, with deep expertise in: Chinese philosophical traditions Early medieval East Asian historiography Three Kingdoms political dynamics Classical Chinese textual analysis Recent research trends show consistent focus on: Three Kingdoms musical culture Personnel management theories in Cao Wei Elite migration patterns in Sun Wu Classical commentary traditions As an educator, he teaches: Chinese historical philosophy at Waseda University East Asian classical texts at Komazawa University Traditional cultural studies at Shirayuri Women's University Public engagement includes: Leading Academy Aitopia 's Three Kingdoms historical study group Organizing open lectures on Chinese classics Contributing to cultural education through Utsunomiya City Board of Education

• Data Mining
• Machine Learning
• Information Theory
• +4 more

Manabu Kobayashi is a Professor at the Center for Data Science of Waseda University, with previous faculty roles at Shonan Institute of Technology (1998-2014). His research spans data mining, machine learning, and information theory, with a focus on applications in document classification, ECOC frameworks, and latent structural models. Current Affiliation: Waseda University (2018-present) Previous: Shonan Institute of Technology (2002-2014) Research Interests: Specializes in distance metric learning, latent class modeling, and fault diagnosis systems using probabilistic frameworks. Key areas include: ECOC (Error-Correcting Output Codes) optimization Collaborative filtering for recommendation systems Reconfigurable logic circuits using DG-CNTFETs Privacy-preserving distributed linear regression Scientific Awards: PC Conference Best Paper Award (2025) World CIST'18 Best Paper Award IEICE Achievement Award (2017) 74th Information Processing Society of Japan Conference Excellence Award (2012) Article Trends: Recent work focuses on latent structure analysis for relational data (2025), ECOC performance with noisy classifiers (2023), and flipped classroom effectiveness through log-based grouping (2022-2025). Earlier contributions include reconfigurable logic circuits (2013-2014) and probabilistic fault diagnosis (2011-2012).

Marco RondinaView profile

Lecturer

• Data Science
• Computer Vision
• Artificial Intelligence
• +8 more

Marco Rondina is a Lecturer at the Polytechnic University of Turin , specifically within the Department of Control and Computer Science (DAUIN) . He is also a PhD student in Control and Computer Engineering , expected to graduate in 2026. His work bridges Data Ethics , Responsible AI , and Software Engineering . PhD Student: 2022–2025 Guest Researcher: Weizenbaum Institute, TU Berlin (2025) Marco's research focuses on data fairness to promote responsible AI development, addressing algorithmic bias , dataset documentation , and ethical data practices . His publications analyze gender stereotypes in LLMs, fairness in car insurance pricing, and biases in facial analysis systems for marginalized groups like people with Down syndrome. His recent articles emphasize neural-symbolic AI , data quality , and empirical evaluation frameworks for ethical compliance. He has received the Quality Award Template 2025 and actively contributes to teaching as a Teaching Assistant in courses like Business Information Systems and Data Ethics and Data Protection . Scientific Awards Quality Award Template 2025 Marco collaborates with the Internet Media Group (IMG) at DAUIN and participates in initiatives like the Nexa Center for Internet and Society . His outreach includes talks on AI ethics, algorithmic audits, and data discrimination risks.

Marianne VedelerView profile

Professor

• Medieval Archaeology
• Viking Age Archaeology
• Textile Archaeology
• +3 more

Marianne Vedeler serves as a Professor at the Museum of Cultural History, University of Oslo, within the Department of Archaeology since 2015, where she manages the Medieval Collection and integrates academic research with heritage curation to advance understanding of Norway's material culture from the Iron Age through the Middle Ages. Her educational foundation includes a Dr. Art in Archaeology, though specific institutional details of her degrees remain unspecified in available documentation. This doctoral training underpins her methodological rigor in artifact analysis and historical interpretation. Vedeler's research centers on Medieval and Viking Age archaeology , particularly the language of form in material culture and the socio-cultural significance of textiles, clothing, and accessories across centuries. She pioneers investigations into food culture and collection management systems, revealing how everyday objects encoded identity, status, and cultural exchange in historical societies through meticulous stylistic and contextual analysis. Her extensive 2018-2024 publication record demonstrates an increasingly interdisciplinary trajectory, merging archaeological fieldwork with metabolomics, ancient DNA analysis, and digital imaging to reconstruct past lifeways. This work consistently focuses on Norwegian contexts—especially medieval Oslo—exploring textile production networks, dietary shifts, and trade routes while developing innovative techniques for analyzing fragmentary evidence like food residues and degraded textiles. No specific scientific awards are documented in current sources, though her contributions are evidenced through leadership in major research initiatives and high-impact publications. Vedeler's scholarly impact extends through projects including TexRec (Virtual Reconstruction of Oseberg textiles) and FOODIMPACT (medieval urban food systems), supported by collaborative funding that enables cross-institutional teams to investigate cultural heritage through scientific and digital methodologies. She actively contributes to the Centre for Viking-Age Studies (ViS) and Cloth Cultures in and Beyond the Viking Age research group, fostering international dialogue on Scandinavian material culture while leveraging the Museum of Cultural History's collections for cutting-edge research and public engagement.

Marc BrunelleView profile

Professor

• Phonological Theory
• Phonetics
• Tone and Intonation
• +6 more

Marc Brunelle is a full Professor in the Department of Linguistics within the Faculty of Arts at the University of Ottawa. He serves as co-director of the Sound Patterns Laboratory (Laboratoire des structures sonores), a state-of-the-art phonetics facility funded by the Canada Foundation for Innovation. His academic profile reflects deep engagement with linguistic theory and empirical research focused on sound systems across languages. Professor Brunelle's research centers on phonological theory, phonetics, tone and intonation systems, sound change phenomena, and the effects of language contact on sound systems. His work primarily investigates Southeast Asian languages, with special emphasis on Vietnamese and Cham language families. He has made significant contributions to understanding register systems, phonological change processes like transphonologization, and the relationship between production and perception in tone languages. His research combines theoretical linguistics with empirical laboratory methods and extensive fieldwork documentation. Analysis of his recent publications reveals a strong focus on phonological systems across Mainland Southeast Asia, particularly examining register phenomena, voicing contrasts, and tonal systems in languages like Raglai, Jarai, Chrau, and Chru. His work frequently employs production and perception methodologies to investigate phonological change in progress, with particular attention to how linguistic variation manifests across different dialects and speech communities. A consistent theme throughout his scholarship is the documentation and analysis of endangered Southeast Asian languages, especially those within the Chamic subgroup. Professor Brunelle actively supervises Master's and PhD students working on prosody and phonetics/phonology of Southeast Asian languages. He has developed specialized software tools for Vietnamese language processing, including the Montreal Corpus tools for automatic conversion of quốc ngữ (Vietnamese script) to the International Phonetic Alphabet and for forced-alignment of Vietnamese transcriptions and recordings. His research program demonstrates sustained collaboration with scholars across multiple institutions and countries, particularly with Vietnamese and other Southeast Asian researchers. The Sound Patterns Laboratory he co-directs represents a significant research infrastructure for phonetic investigation, supporting both his own research program and that of his students and collaborators. His work bridges theoretical linguistics with language documentation efforts, particularly for endangered languages of Southeast Asia where he has conducted extensive fieldwork.

Shanyang ZhaoView profile

Professor

• Sociology of Knowledge
• Self and Self-Concept
• New Media
• +3 more

Shanyang Zhao serves as Professor in the Department of Sociology within Temple University's College of Liberal Arts, with additional affiliation in the Asian Studies Program. His academic profile demonstrates sustained engagement with foundational sociological questions through contemporary lenses. His research program centers on five interconnected domains: Sociology of Knowledge and epistemological paradoxes of situated truth Self and Self-Concept development in digital environments New Media's impact on social capital and identity formation Mental Health epidemiology and diagnostic frameworks Metatheoretical foundations of sociological inquiry Currently, Professor Zhao investigates the paradox of situated knowledge—examining how context-bound humans pursue objective knowledge while navigating inherent biases. His work challenges assumptions about scientific veracity, questioning whether relative truth criteria invalidate research purposes and exploring distinctions between social and natural sciences. This existential embedment theory framework represents his most significant contemporary contribution. Analysis of his 2014-2024 publications reveals three dominant trajectories: (1) self-theory reconceptualization through Jamesian frameworks, (2) digital sociology examining social media's impact on self-presentation and social capital, and (3) mental health epidemiology using population survey data. His interdisciplinary approach consistently bridges phenomenological theory, evolutionary perspectives, and empirical social research. No scientific awards were documented in the source materials. Information regarding student advising, grant funding, laboratory resources, or collaborative teams was not provided in available documentation. His teaching responsibilities include specialized courses in Sociology of Truth, Sociology of the Self, and quantitative methods.

Angie BowmanView profile

Associate Professor

• Public Health
• Psychometrics
• Health Disparities
• +5 more

Dr. Angie Bowman serves as Associate Professor in the Department of Health and Human Performance within Middle Tennessee State University's College of Behavioral and Health Sciences. Her academic appointments include teaching graduate courses in Social Epidemiology, Survey Methodology, Applied Biostatistics, and Advanced Data Analysis, alongside undergraduate instruction in Bioethical Issues and Biostatistics. Her educational background comprises a PhD in Human Performance (Public Health) and MA in Quantitative Psychology from MTSU, and a BA in Psychology from Eastern Illinois University. Research interests center on psychometric validation of patient-reported outcomes, social determinants of health modeling, and mental health literacy programming to reduce stigma. Her work combines biostatistics and psychometrics to analyze how socioeconomic factors influence healthcare access and disease progression. Dr. Bowman's publication portfolio reveals strong emphasis on rare disease populations (particularly mast cell disorders) and mental health stigma reduction. Her research demonstrates consistent application of advanced statistical modeling to health disparities, with significant contributions to understanding opioid stigma in rural communities and pandemic impacts on vulnerable patient groups. Collaborative work with The Mast Cell Disease Society has informed FDA fast-track drug approvals and provider education initiatives. Disability Access Champion (MTSU Disability and Access Center) She actively mentors students in research, with numerous mentees receiving Top 5 awards at Tennessee Public Health Association meetings and first-place honors at MTSU Scholars Week. Her $9+ million in collaborative grants span NIH, CDC, SAMHSA, and Department of Health projects, including Mental Health First Aid training implementation on campus. Current initiatives involve broadband access analysis in Tennessee and veterinary mental health landscape studies, often conducted through partnerships with the Center for Health and Human Services.

Lucy JagerView profile

Assistant Professor

• Cytopathology
• Anatomic Pathology
• Clinical Pathology
• +4 more

Lucy Jager, MD serves as an Assistant Professor in the Department of Pathology at Northwestern University's Feinberg School of Medicine, specializing in Cytopathology. She maintains dual board certification in Anatomic Pathology, Clinical Pathology, and Cytopathology through the American Board of Pathology, and is clinically affiliated with Northwestern Medicine. Her educational foundation includes: BS: Southern Methodist University (2009) MD: The University of Texas Health Science Center at San Antonio (2016) Residency: University of Colorado School of Medicine, Anatomic and Clinical Pathology (2020) Fellowship: Northwestern University Feinberg School of Medicine, Cytopathology (2021) Dr. Jager's research centers on advancing diagnostic precision in cytopathology through standardized reporting systems and practical diagnostic frameworks. Her expertise spans multi-organ systems including urinary tract cytology, adrenal gland diagnostics, salivary gland pathology, and challenging bone tumor cases. She actively contributes to developing evidence-based guidelines for cytopathology practice with emphasis on reducing diagnostic variability. Her 2022 publications reveal a cohesive research trajectory focused on creating standardized diagnostic pathways across diverse cytopathology subspecialties. Key themes include validation of reporting systems (Milan system for salivary glands), multi-institutional standardization efforts (adrenal gland cytology), and practical diagnostic algorithms for complex specimens (giant cell-rich bone tumors, urine cytology). This work consistently addresses diagnostic pitfalls and mimics across organ systems. Scientific Awards: No awards documented in current profile. Advising and Grants: Current profile contains no information regarding student mentorship, research grants, or funded projects.

Tobias HallmenView profile

Researcher

• Multimodal Conversation Analysis
• Machine Learning
• Artificial Intelligence
• +3 more

Tobias Hallmen is a Researcher at the University of Augsburg 's Chair of Human-Centered Artificial Intelligence within the Faculty of Applied Computer Science . His work focuses on multimodal conversation analysis using machine learning and artificial intelligence in psychotherapy and medical/educational training contexts. Research interests include: Automated evaluation of conversational quality through multimodal data (audio, video, text) AI-based assessment systems for therapy sessions and parent-teacher interviews Development of real-time feedback mechanisms for skill improvement Integration of behavioral signal processing and empathy modeling Recent publications demonstrate expertise in vocal burst analysis , emotional mimicry prediction , and multimodal foundation models for behavioral annotation. Key technical domains: deep learning architectures , cross-modal data correlation , and computer vision applications . The Chair team under Prof. Dr. Elisabeth André currently includes 23 members with 10 projects active, including TherapAI (psychotherapy analysis) and KodiLL (medical training systems). Tobias Hallmen's work particularly addresses speaker classification , reception signal analysis , and remote physiological measurement techniques like video-based heart rate detection .

Lingling FanView profile

Associate Professor

• Software Security Analysis
• Software Testing and Analysis
• Big Data-driven Analysis
• +3 more

Lingling Fan is an Associate Professor (100 Young Academic Leaders of Nankai University) at Nankai University, China. Her research focuses on software security analysis, software testing and analysis, and big data-driven analysis, with significant contributions to mobile application security, particularly in Android security and accessibility. Her research interests include: Software Security Analysis, with emphasis on mobile application security and vulnerability detection Software Testing and Analysis, particularly for Android applications and accessibility issues Big Data-driven Analysis for security and quality assessment of software systems Dr. Fan's publication record shows strong trends in automated security testing, vulnerability detection in open-source ecosystems, and accessibility analysis for mobile applications. Her work spans multiple disciplines including software engineering, security, and human-computer interaction, with a particular focus on practical applications for Android ecosystem and measurable real-world impact. Her notable scientific awards include: ACM SIGSOFT Distinguished Paper Award (ASE 2022) ACM SIGSOFT Distinguished Paper Award (ICSE 2021) ACM SIGSOFT Distinguished Paper Award (ICSE 2018) Research Tool Award at NASAC 2018 National Scholarship from The Ministry of Education, China (2018) ACM SIGSOFT CAPS Award (ASE 2018) Dr. Fan has served in various academic service roles including as a program committee member for major conferences such as ASE, ICSE, FSE, and ISSRE. She has also been a reviewer for prestigious journals including IEEE Transactions on Information Forensics and Security (TIFS), IEEE Transactions on Dependable and Secure Computing (TDSC), IEEE Transactions on Software Engineering (TSE), and ACM Transactions on Software Engineering and Methodology (TOSEM).

Ali BasiratView profile

Associate Professor

• Natural Language Processing
• Computational Linguistics
• Machine Learning
• +5 more

Ali Basirat is an Associate Professor in the Department of Nordic Studies and Linguistics at the Faculty of Humanities, University of Copenhagen, affiliated with the Center for Language Technology (CST). His research focuses on data-driven approaches to language technology, particularly explainable natural language processing and morphosyntactic analysis, with emphasis on universal patterns across languages and efficient language processing tools. His academic qualifications include: PhD in Computational Linguistics from Uppsala University (awarded 2018) Certificate in Higher Education Pedagogy from Linköping University (awarded 2022) Dr. Basirat's research centers on mathematical modeling of natural languages, with core interests in universal language models, representation learning, dependency syntax, and explainable NLP. He investigates data-driven syntax, word embeddings, grammatical gender patterns across languages, and adaptation of large language models for environmental studies and sustainable development goals. His work bridges theoretical linguistics with practical NLP applications. Analysis of his 2020-2025 publications reveals three dominant trends: (1) Advancements in multilingual dependency parsing through linguistic typology and syntactic nuclei exploration; (2) Investigation of grammatical gender representation in word embeddings and language models; (3) Application of NLP techniques to climate conceptual history and environmental studies. His research increasingly addresses efficiency challenges in large language model adaptation while maintaining cross-lingual performance. No major scientific awards are currently documented in his public profile. Dr. Basirat supervises master's theses in natural language processing and computational linguistics, focusing on machine learning, language modeling, syntactic parsing, and knowledge graphs. He teaches graduate courses including Scientific Programming and Representation Learning for Natural Language Processing (RL4NLP) at the University of Copenhagen's IT & Cognition and Computer Science programs. He is a core member of the Center for Language Technology (CST) and actively collaborates with the Nordic Language Processing Laboratory (NLPL). His research network extends through membership in the Association for Computational Linguistics (ACL), facilitating international collaborations across European institutions.

Martin J. HayesView profile

Professor

• Artificial Intelligence
• Computer Vision
• Wireless Communications
• +5 more

Professor Martin J. Hayes serves in the Department of Electronic and Computer Engineering at the University of Limerick's Faculty of Science and Engineering. His institutional affiliation includes campus location ERB2-021 and contact details: email Martin.J.Hayes@ul.ie and phone +353 (0)61 202577. His research concentrates on Artificial Intelligence and Computer Vision applications within Smart Manufacturing and Autonomous Vehicles . Key specialties include deep learning for defect detection, visual question answering systems, and real-time failure monitoring in industrial environments. He also investigates interoperable IoT security frameworks and private 5G network implementations for Industry 4.0. Analysis of recent publications (2023-2025) reveals dominant themes in AI-driven manufacturing solutions and autonomous driving technologies. His work consistently addresses data-constrained training environments and real-time performance requirements, with growing emphasis on human-machine interaction patterns and subjective evaluation frameworks for vision systems. Scientific Awards: No scientific awards were documented in available sources Advising and Grants: While specific student advisement records and grant details were not provided, Professor Hayes' extensive publication output across manufacturing automation, autonomous systems, and wireless communications indicates active leadership in multiple research initiatives. His involvement in the REEdI (Rethinking Engineering Education in Ireland) project demonstrates commitment to educational innovation alongside technical research.

Arne ThellView profile

Associate Professor

• Lichenology
• Taxonomy
• Phylogenetics
• +5 more

Arne Thell is an Associate Professor and Curator of cryptogams at Lund University, Department of Biology in Lund, Sweden. He is affiliated with Ingvar Kärnefelt's Lab and has an extensive publication record in lichenology, with over 130 publications that have garnered 57,501 reads and 3,233 citations according to ResearchGate metrics. Dr. Thell's research focuses on the systematics, taxonomy, and molecular phylogeny of lichens, particularly within families such as Teloschistaceae, Parmeliaceae, and other lichen-forming fungi. His expertise spans multiple continents, including comprehensive studies on European, Asian, South American, and Antarctic lichen flora. He has made significant contributions to understanding lichen biodiversity through the description of numerous new genera and species, and through rigorous taxonomic revisions using molecular approaches. His work demonstrates a strong emphasis on integrative taxonomy, skillfully combining morphological, chemical, and molecular data to resolve complex taxonomic uncertainties. Recent publications reveal his continued focus on the Teloschistaceae family, with particular attention to Xanthoria and related genera, as well as cetrarioid lichens. His research also encompasses biogeographic studies of lichen distribution and ecological investigations of lichen symbioses, providing valuable insights into symbiont selection and ecological preferences. Molecular phylogeny of lichen-forming fungi Taxonomic revisions using integrative approaches Biogeographic mapping of lichen species Studies on lichen symbiosis dynamics Documentation of regional lichen floras worldwide Dr. Thell maintains an extensive international collaborative network, working with researchers across multiple continents. His publications frequently feature collaborations with S.Y. Kondratyuk, Ingvar Kärnefelt, and other prominent lichenologists, reflecting the global nature of modern taxonomic research. As Curator of cryptogams at Lund University, he combines research excellence with collection management responsibilities, contributing significantly to the advancement of lichenological knowledge worldwide.

Emirhan GÜLERView profile

Assistant Professor

• Turkish Folk Music
• Musicology
• Bağlama (Turkish String Instrument)
• +5 more

Emirhan GÜLER serves as an Assistant Professor in the Department of Musicology at Adıyaman University State Conservatory. He began his academic career in 2015 as a Research Assistant at the same institution and was promoted to Assistant Professor on February 2, 2023. His academic journey includes a Doctorate in Music Education from Gazi University (2018-2021), a Master's in Musicology from Atatürk University (2013-2017), and a Bachelor's degree in Musicology from Atatürk University (2009-2013). Doctorate: Gazi University, Institute of Educational Sciences, Music Education (2018-2021) Master's: Atatürk University, Institute of Fine Arts, Musicology (2013-2017) Bachelor's: Atatürk University, Faculty of Fine Arts, Department of Musicology (2009-2013) GÜLER's research primarily focuses on Turkish folk music traditions, particularly in the Adıyaman region, with special attention to bağlama (a traditional Turkish string instrument), music theory, and pedagogy. His work bridges theoretical musicology with practical performance considerations, examining how traditional music functions within cultural contexts while addressing contemporary educational applications. He has published extensively on regional music characteristics, instrumentology, and the relationship between folk literature and musical expression. His recent publications reveal a strong regional focus on Adıyaman's musical heritage while expanding to broader Turkish folk music traditions. GÜLER frequently examines the intersection of music with social practices, agricultural life, and religious ceremonies. His technical work on bağlama construction, performance techniques, and tuning systems demonstrates deep engagement with both theoretical frameworks and practical musicianship. The research shows consistent attention to preserving traditional knowledge while adapting it for contemporary educational contexts. GÜLER has been involved in significant projects including the establishment of a Music Research and Sound Recording Studio Infrastructure at Adıyaman University State Conservatory (2019-2021) and research on Adıyaman Folk Songs (2015). He teaches courses in Turkish Folk Theory and Repertoire, Individual Instrument (Bağlama), Introduction to Musicology, and various music history and analysis courses across multiple academic years.

Nadia TahiriView profile

Assistant Professor

• Bioinformatics
• Evolutionary Biology
• Phylogeography
• +5 more

Nadia Tahiri is an Assistant Professor in the Department of Computer Science at the University of Sherbrooke. Her contact information includes email (Nadia.Tahiri@USherbrooke.ca) and phone 819-821-8000 (extension pending confirmation), with her office located at D4-2000. Her educational background comprises: Master of Science in Computer Science, Université du Québec à Montréal (2012) Ph.D. in Computer Science, Université du Québec à Montréal (2019) Postdoctoral Researcher in Environmental Health and Occupational Health, School of Public Health, Université de Montréal (2019-2021) Her research integrates computational methods with evolutionary biology, focusing on: Phylogenetic relationships between species distribution and genetic composition Classification methodologies for phylogenetic trees (consensus/supertrees) Quantitative Structure-Activity Relationship (QSAR) modeling for environmental contaminants Development of real-time phylogeography visualization dashboards Primary domains include bioinformatics, evolutionary algorithms, and environmental data modeling. No awards, student advising records, or grant information are documented in available materials.