Find Academic Supervisors

• Music Education
• Choral Music Education
• Adolescent Voice Development
• +3 more

Bridget Mary Sweet serves as Professor and Area Chair in the School of Music at the University of Illinois Urbana-Champaign, teaching music education pedagogy including choral methods, middle-level general music, graduate courses, and healthy practices for musicians. Her email is bsweet@illinois.edu. Her research centers on middle-level choral education, adolescent voice change (both female and male), empowering young music students, and LGBTQ+ issues in music classrooms. With extensive experience as a teacher, clinician, and adjudicator for adolescent singers, her work emphasizes lived experiences and qualitative methodologies. Recent publications (2018-2024) demonstrate consistent focus on adolescent vocal development, with studies on straw phonation effects, vocal identity formation, and systemic challenges like motherhood in academia. Her research bridges voice science and social justice, frequently examining intersections of gender, identity, and pedagogy. Dr. Sweet actively engages with educational communities through workshops at institutions including West Aurora High School, Glenbard East High School, Loyola Academy, and Prairie Junior High School, mentoring music educators in choral techniques and adolescent vocal development.

• Gesture Studies
• Cognitive Psychology
• Nonverbal Communication
• +4 more

Mingyuan Chu is a Lecturer in the School of Psychology at the University of Aberdeen, with research focusing on the interplay between nonverbal behavior and cognitive processes. Affiliated with the School of Psychology within the College of Life Sciences and Medicine, Chu maintains an active research profile utilizing EEG, virtual reality, motion tracking, and eye-tracking methodologies. Chu's educational background includes a PhD in Psychology from the University of Birmingham (2008), an MSc in Neuropsychology from the University of Bristol (2005), and a BSc in Applied Psychology from Nankai University (2004). Professional memberships include being an Editorial Board member for GESTURE, the Experimental Psychology Society, and the International Society for Gesture Studies. Research centers on four key areas: (1) language-action system interactions, (2) gesture facilitation in problem-solving and language processing, (3) pragmatic and emotional processing during communication, and (4) individual differences in gesture-speech integration. Methodologically, the work combines electrophysiological, virtual reality, motion tracking, eye-tracking, and behavioral experimentation approaches. Publication analysis reveals consistent focus on nonverbal communication across 22 publications (2008-2025), with recent work emphasizing cross-cultural gesture differences, subliminal pain perception, and individual differences in gesture production. The research demonstrates strong continuity in gesture-cognition relationships while expanding into cultural and clinical dimensions. EPS Small Grant (2022-2023) Leverhulme Research Project Grant (2020-2022) EPS Symposium Grant (2020) Research Enhancement Scheme, University of Aberdeen (2019) Carnegie Incentive Grant (2018-2019) British Academy Small Grant (2016-2018) Teaching responsibilities include Advanced Psychology A, Methodology A/B, Memory and Language, and Current Topics in Psychological Studies at Levels 2-4. As Senior Personal Tutor and International Exchange Officer, Chu plays significant administrative roles within the School of Psychology. The research program maintains active collaborations across cognitive neuroscience, linguistics, and cross-cultural psychology domains.

Ioannis VlahavasView profile

Professor

• Logic Programming
• Knowledge representation and Reasoning
• Automated Planning
• +3 more

Ioannis Vlahavas is a Professor in the School of Informatics at Aristotle University of Thessaloniki since 2003, where he directs the Intelligent Systems Lab. He has held significant leadership roles including Chair of the School of Informatics (2003-2005, 2013-2017) and Dean of the School of Science and Technology at the International Hellenic University (2007-2016). His career spans over three decades with continuous contributions to artificial intelligence research and education. Education: Ph.D. in Computer Science, Aristotle University of Thessaloniki (1988) B.Sc. in Physics, Aristotle University of Thessaloniki (1982) Professor Vlahavas's research focuses on foundational AI areas including Logic Programming, Knowledge Representation and Reasoning, Automated Planning, and Machine Learning. His work bridges theoretical frameworks with practical applications in autonomous systems, healthcare diagnostics, and financial modeling. He has pioneered methodologies in reinforcement learning and multi-agent systems, with particular emphasis on personality emulation in gamified environments and transformer-based architectures for complex real-world problems. His recent publications reveal a strong trajectory toward deep reinforcement learning, transformer optimization, and low-resource language processing. Key application domains include autonomous driving (5 of 15 recent papers), biomedical text mining (particularly drug-drug interaction extraction), and personality modeling in gaming environments. There is notable cross-pollination between finance (portfolio theory applications, cryptocurrency trading) and AI methodology development. Scientific Awards: EurAI Fellow (2017) Professor Vlahavas has mentored numerous graduate students through PhD candidate programs and research projects. His leadership extends to organizing major international conferences including the 24th IEEE International Conference on Tools with AI (2012) and the 9th Hellenic Conference on Artificial Intelligence (2016). He serves on editorial boards and has guest-edited special journal issues on AI applications. He directs the Intelligent Systems Lab at Aristotle University, which operates as a multidisciplinary research hub focusing on machine learning, natural language processing, and intelligent system applications across healthcare, transportation, and finance sectors. The lab maintains strong industry connections including RealMINT, the university spin-off where he serves as CEO.

David J. AndersonView profile

Professor

• Neuroscience
• Neurobiology
• Neural Circuits
• +5 more

David J. Anderson is the Seymour Benzer Professor of Biology at the California Institute of Technology (Caltech), serving as Director and Leadership Chair of the Tianqiao and Chrissy Chen Institute for Neuroscience. He is also a long-standing Investigator of the Howard Hughes Medical Institute (HHMI), appointed in 1989. His academic credentials include an A.B. in Biochemical Sciences from Harvard University (1978, summa cum laude) and a Ph.D. in Cell Biology from Rockefeller University (1983), where he trained with Nobel Laureate Günter Blobel. Postdoctoral training followed at Columbia University with Nobel Laureate Richard Axel. Anderson's research centers on the neurobiological basis of emotional behaviors, particularly fear, anxiety, and aggression. His lab employs mice, Drosophila, and the jellyfish Clytia hemisphaerica to dissect neural circuits using optogenetics, chemogenetics, single-cell RNA sequencing, and advanced behavioral analysis. Key discoveries include identifying aggression-controlling neurons in the hypothalamus and fear-processing microcircuits in the amygdala. Recent publications reveal a strong emphasis on decoding aggression circuits through computational modeling of neural dynamics, whole-brain imaging, and cross-species comparisons. His work integrates molecular, cellular, and systems approaches to understand how internal emotional states emerge from neural activity and influence behavior. Major scientific awards include: 2018 Edward M. Scolnick Prize in Neuroscience 2017 New York Academy of Medicine Salmon Award 2016 Perl-UNC Neuroscience Prize 2007 National Academy of Sciences election Multiple named professorships and fellowships As an HHMI Investigator since 1989 and Allen Distinguished Investigator (2010), Anderson has secured substantial research funding. He serves on the Scientific Advisory Board of the Allen Institute for Brain Science and has mentored numerous trainees. His lab develops cutting-edge tools like the Mouse Action Recognition System (MARS) for behavioral analysis. The David Anderson Lab operates as a multidisciplinary hub integrating genetics, neurophysiology, and computational methods. Current collaborations with engineering groups focus on machine vision for behavior quantification, while expanding the Clytia model to investigate primitive internal states in brainless organisms.

• Medieval History
• History of Dance
• Cultural Sociology of Knowledge
• +3 more

Adrien Belgrano is an Associate Professor of History at the Versailles Academy since 2017 and a Lecturer at the University of Versailles – Saint-Quentin en Yvelines since 2024. He is an attached member of the Center for Historical Research (CRH) and the AHLoMA research team at the Ecole des Hautes Etudes en Sciences Sociales (EHESS) in Paris. His academic career includes a Doctorate in History and Civilizations from EHESS (2023), a Master's degree in Social Sciences with a focus on History from EHESS (2012), and a Bachelor's degree in History from the University of Aix-Marseille I (2010). Belgrano's research focuses on medieval dance history, particularly examining the 'age of the carole' (1170s-1390s) through the lens of communicational constructivism. His work analyzes how dance was represented in medieval narratives across different contexts - in aristocratic literature, clerical exempla, and royal remission letters. He investigates the vocabulary, organization, and social functions of medieval dance, with particular attention to the transition from 'carole' to 'dance' terminology and its cultural significance. His publications reveal a strong focus on interdisciplinary approaches, combining historical, linguistic, anthropological, and sociological perspectives to understand medieval dance practices. The research shows consistent engagement with questions of how dance functioned as a social practice, its relationship to religious authority, and its representation in various medieval discourses. His work demonstrates particular expertise in Latin and French medieval terminology related to dance. Among his notable achievements are winning the EHESS Thesis Prize in 2023 and the Bella Ilaria Caccia Prize in 2024 from the University of Verona/AirDanza. He actively participates in significant research projects including MUDANZA (2023-2027) on dancing women and rituals, and HECO (2017-2021) on choreutic heterotopias in Mediterranean visual and literary culture. Belgrano has established a robust presence in academic discourse through numerous conference presentations, research seminars, and publications across multiple venues. His collaborative work with scholars like Licia Buttà demonstrates his integration into international research networks focused on medieval dance history. He also engages in public outreach through podcasts, documentaries, and media appearances, bringing medieval dance history to broader audiences.

• Requirements Engineering
• Speech Emotion Recognition
• Cloud Computing
• +3 more

Vito Veneziano is a researcher at the University of Hertfordshire , affiliated with the Department of Computer Science under the School of Physics, Engineering & Computer Science . His work spans multiple domains within computing, focusing on practical applications and theoretical analysis. Research Interests : Requirements Engineering and stakeholder dynamics Speech emotion recognition and deep learning Cloud computing algorithm optimization Usability analysis in software and ERP systems Interdisciplinary approaches to political context in engineering Human-computer interaction in gamified environments Recent Projects include AI-powered conversation trees for debt collection, metabolic disorder prediction using machine learning, and speech emotion recognition systems. Collaborations involve Manor Pharmacy Group, University of Hertfordshire colleagues, and industry partners.

• Natural Language Processing
• Computational Linguistics
• Sentiment Analysis
• +3 more

Prof. Dr. Senem Kumova Metin is an Associate Professor in the Software Engineering Department at İzmir University of Economics. She earned her B.S. in Electrical and Electronics Engineering (2001), M.S. (2005), and Ph.D. (2011) from Ege University. Her research focuses on Natural Language Processing and Computational Linguistics , with specific applications to Turkish language. Key areas include emotion detection , sentiment analysis , word embeddings , multiword expressions , and language modeling for agglutinative languages. Recent publications highlight advancements in emotion-enriched vector representations, transformer-based models for Turkish NLP, and hybrid methods for emotion detection in low-resourced languages. She also contributes to dataset expansion for multiword expressions and statistical analysis of Turkish lexical structures. Her academic output spans journals and conferences in computer science and linguistics , with emphasis on practical applications in NLP.

• Parallel Programming
• GPU Programming
• Image Processing
• +5 more

Sándor Szénási is a Professor at the Department of Informatics within the Faculty of Economics and Informatics at J. Selye University, where he serves as the person responsible for the Applied Informatics study program. With over two decades of academic experience, he has established himself as a leading researcher in parallel programming, GPU programming, and image processing, with recent expansion into machine learning applications. Eötvös Loránd University, Faculty of Science and Informatics (2001-2004): Information technology teacher Budapest Polytechnic, John von Neumann Faculty of Information Technology (1997-2001): B. Engineer in Information Technology Óbuda University (2010-2013): PhD in Applied Informatics Habilitation at Óbuda University (2019): Information Science and Technology Professor inauguration at Óbuda University (2022) Szénási's research spans computational methods with practical applications across multiple domains. His early work focused on parallel and GPU programming for image segmentation and heat transfer simulation. More recently, he has integrated machine learning techniques with traditional computational approaches, particularly in metaheuristic optimization, speech processing, and inverse problem solving. His interdisciplinary research bridges computer science with transportation safety, manufacturing, and medical applications. His recent publications reveal a clear evolution toward hybrid computational approaches that combine machine learning with traditional algorithms. There is a strong emphasis on optimization techniques, particularly metaheuristics enhanced with machine learning components. His work spans diverse application areas including speech emotion recognition, autonomous vehicle control, additive manufacturing, and heat transfer simulation, while maintaining a core focus on computational efficiency and parallel processing. Szénási has been actively involved in multiple EFOP-funded research projects including 'Improvement of higher education institutes for better teaching quality and accessibility,' 'Dynamics and control of autonomous vehicles,' and 'Solving the Inverse Heat Conduction Problem with Machine Learning.' His collaborative work with researchers like Gábor Kertész, Zoltán Vámossy, and Imre Felde demonstrates his commitment to interdisciplinary research.

Erika ComascoView profile

Associate Professor

• Psychoneurobiology
• Women's mental health
• Hormonal effects on brain
• +5 more

Erika Comasco is an Associate Professor at Uppsala University's Department of Neuroscience and a SciLifeLab Fellow. Her research focuses on the psychoneurobiology of women's mental health, particularly examining how gonadal hormones influence behavior and mental health through molecular, genetic, endocrine, pharmacological, neurophysiological and neuroimaging approaches. Her primary research interests include the molecular underpinnings of gonadal hormones' influence on women's behavior and mental health, with emphasis on characterizing biomarkers for sex-specific disorders like premenstrual dysphoric disorder. She also investigates the effects of early-life stress and alcohol exposure on brain and behavior, examining (epi)gene-environment interactions in both rodent models and human population-based samples, with special focus on adolescence as a critical period for vulnerability to alcohol use and misuse. Her publication record demonstrates consistent research activity from 2012 through 2025, with a clear focus on women's mental health across the reproductive spectrum. Her work spans neuroimaging studies, genetic analyses, pharmacological interventions, and systematic reviews, with particular emphasis on premenstrual dysphoric disorder, hormonal effects on brain function, and the biological aspects of mood disorders related to reproductive transitions. Dr. Comasco leads a research group that includes multiple postdoctoral researchers and PhD students. Her collaborative network is extensive, with frequent co-authorship with researchers from Uppsala University and international institutions, particularly in studies examining hormonal influences on brain and behavior.

Marko BachlView profile

Assistant Professor

• Computational Social Science
• Political Communication
• Online Behavior
• +4 more

Marko Bachl serves as an Assistant Professor at the Institute of Sociology within the Department of Political and Social Sciences at Freie Universität Berlin. Based at Garystr. 55, Room 274, Berlin, he co-directs the DiMES (Digital Methods Innovation Lab) initiative, focusing on advancing computational approaches in social science research. His research centers on computational social science with emphases on political communication dynamics, gendered online interactions, and health information behavior. Key investigations include the impact of sexism on women's political participation, trust allocation in digital news ecosystems, and methodological innovations in computational text analysis. His work bridges theoretical communication frameworks with cutting-edge digital methods to address contemporary societal challenges. Analysis of his recent publications reveals a consistent integration of computational techniques with substantive social science questions, particularly regarding social media's role in political engagement and public health communication. His scholarship demonstrates methodological rigor through preregistered experiments, large-scale behavioral data analysis, and critical evaluation of measurement error in digital contexts. As DiMES co-director, Bachl leads initiatives developing innovative research tools like the MediaLiveTracker for real-time response measurement and promotes interdisciplinary collaboration through workshops on computational methods.

• Children's and Adolescent Literature
• Literacy Education
• Culturally Diverse Texts
• +4 more

Lauren Aimonette Liang is an Associate Professor in the Department of Educational Psychology at the University of Utah, where she has served since 2011. She directs the LEAP-Quest Academic Learning Communities and co-directs the READ-U Program (Reading with Empathy, Awareness, and Depth with U). Her work focuses on children's and adolescent literature integration in education, emphasizing diversity, comprehension strategies, and social-emotional growth. PhD in Curriculum and Instruction - Literacy Education (University of Minnesota) MA in Cognition and Development (University of California, Berkeley) BA in English and American Studies (University of Notre Dame) Dr. Liang's research explores: Selection and pedagogical use of global/culturally diverse literature Text characteristics influencing student comprehension Multimodal literacy through book trailers and makerspaces Teacher education curriculum development Impact of digital storybook features on learning Social-emotional learning through literature Her publications span top journals like Reading Research Quarterly and Reading Psychology , with a 2025 book Courageous Conversations in the Classroom addressing mental health through literature. Current grants include the READ-U Program (Beverley Taylor Sorenson Foundation) and past US Department of Education funding. Professional recognition includes: University Professorship (2016-2018) Outstanding Undergraduate Research Mentor Award (2024) College of Education Teaching Award (2009) Dina Feitelson Research Award (2022) She has organized numerous community-engaged author visits and developed frameworks like "PURPOSEful Text Selection" for educators, while serving on prestigious award committees such as the Caldecott Medal and Batchelder Award panels.

• Machine Learning
• Quantum Computing
• Medical Data Analysis
• +3 more

Thomas Vecchiato is a Guest Researcher at the Department of Computer Science , University of Copenhagen , specializing in Machine Learning . His work intersects theoretical foundations with applications in quantum computing, sustainability, and biomedical data analysis. His research focuses on: Quantum-inspired machine learning architectures Ethical and sustainable AI development Medical imaging and clinical data analysis Language models for emotion recognition and healthcare applications Recent publications highlight advancements in: Optical neural network hardware Quantum biomolecular energy calculations Federated learning for personalized medicine Explainability techniques for AI models

• Machine Learning
• Computer Science
• Quantum Computing
• +3 more

Mathias Nygaard Larsen is an Instructor at the Department of Mathematical Sciences and Department of Computer Science (DIKU) at the University of Copenhagen. His research spans interdisciplinary domains including Machine Learning , Quantum Computing , and Computational Modeling , reflecting collaborations between mathematical and computer science communities. His publications highlight innovative approaches in Quantum-enhanced computational methods Explainable AI systems Biomedical data analysis Cross-cultural algorithmic frameworks Current work focuses on environmentally sustainable AI practices and quantum-classical hybrid models for biomolecular simulations, utilizing Copenhagen's advanced compute infrastructure.

• Perinatal Mental Health
• Maternal Depression
• Child Development
• +7 more

Franca Aceti is a Researcher at the Department of Human Neurosciences, Sapienza University of Rome. Her work focuses on perinatal mental health, maternal depression, child development, and psychiatric screening tools. University: Sapienza University of Rome Department: Department of Human Neurosciences Research Themes: Franca Aceti investigates: Perinatal depression and its psychosocial determinants Maternal personality traits and filicide risk Parental psychopathology impacts on preschool depression Accuracy of the Edinburgh Postnatal Depression Scale (EPDS) Neurodevelopmental disorders in autism and chromosomal abnormalities Publications: Recent studies include: Meta-analyses of EPDS screening accuracy Systematic reviews on maternal-child attachment and epigenetics Genomic studies in Autism Spectrum Disorders Psychological profiling of filicide mothers Methodologies: She employs systematic reviews, cross-sectional studies, and meta-analyses of individual participant data, often collaborating on multi-center projects.

• Neuroscience
• Behavioral Neuroscience
• Developmental Biology
• +3 more

Stephanie Josephine Eder is a researcher affiliated with the Faculty of Life Sciences, Department of Neuroscience and Developmental Biology. Holding BSc and MSc degrees, her work spans interdisciplinary research at the intersection of neuroscience, psychology, and computational modeling. Education: BSc, MSc in Life Sciences disciplines Her research focuses on behavioral and physiological responses to stimuli, including fear responses, motor command modulation in confined environments, and nonconscious processing in auditory tasks. She also investigates evolutionary behavioral strategies in C. elegans and transcriptional regulation in neurodevelopment. Recent projects include the ÖAW-Doc-Stipendium (2024-2026) on modulation of distributed motor commands. She has published 10 peer-reviewed articles, including datasets (e.g., SpiderPhy) and gene regulatory studies (e.g., ONECUT3). Her work contributes to the UN Sustainable Development Goals through psychological and physiological insights. Scientific Awards: Out of the Box Award 2022 Eder has presented at conferences including Science to Science poster sessions on motor responses (2024), C. elegans behavior (2023), and consumer psychology (2019). Her collaborations span neuroscience, computer science, and molecular biology domains.