Find Academic Supervisors

• 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.

Arantza Albertos San JoséView profile

Professor

• Adolescent Risk Behavior
• Positive Parenting
• Structured Leisure Activities
• +5 more

Arantza Albertos San José is a Professor at the Faculty of Education and Psychology, University of Navarra, and a researcher in the INFINITY project at the Institute for Culture and Society. Her work focuses on protective factors against adolescent risk behaviors, including structured leisure activities, self-control, and positive parenting. PhD in Education (2007) from University of Navarra Pre-doctoral research in Rome Post-doctoral work at Utrecht University (2023-2026) on adolescent alcohol use and cyber dating violence Current project: Longitudinal analysis of intimate partner violence determinants in Spanish adolescents (2023-2026) funded by Health Research Fund Her research spans adolescent psychology, technology addiction, and behavioral epidemiology. Recent work explores sexting practices, digital risks, and leisure-time interventions for behavioral regulation. She has participated in projects funded by Cajanavarra Foundation and Carlos III Health Institute. Key publication areas include: cyber dating abuse , problematic technology use , and alcohol consumption patterns . Articles demonstrate cross-cultural analysis across Spanish-speaking countries, integrating psychological and sociological frameworks.

Keith BurtView profile

Associate Professor

• Developmental Psychopathology
• Adolescent Development
• Resilience
• +4 more

Keith Burt is an Associate Professor in the Department of Psychological Science at the University of Vermont, affiliated with the Clinical Psychology and Developmental Psychopathology programs. His work focuses on understanding the interplay between competence (academic/social success) and psychopathology across adolescence and young adulthood. He emphasizes resilience mechanisms and multifactorial risk assessment. Educations: B.A. Pomona College (1998), M.Phil. Cambridge University (1999), M.A. and Ph.D. University of Minnesota (2006-2007). Research interests include developmental psychopathology, resilience processes, and statistical modeling of mental health trajectories. The Burt Laboratory examines risk/resilience dynamics in transitioning populations, particularly around social-emotional skill degradation and intervention efficacy. His work frequently employs structural equation modeling and longitudinal designs. Publications highlight themes like community cohesion impacts on youth mental health, pandemic-era social-emotional decline, and substance use prediction models. While no specific awards are listed, his consistent output reflects sustained research excellence. Advising focuses on students with strong statistical analysis skills and interest in developmental psychopathology. Lab activities emphasize translational research bridging basic and clinical psychology.

• Bilingualism
• Cognitive Psychology
• Language Processing
• +5 more

Sayuri Hayakawa is an Assistant Professor in the Department of Psychology at Oklahoma State University, where she directs the Language, Cognition, and Behavior Lab. She joined OSU in January 2023 after serving as a Research Assistant Professor at Northwestern University from 2019-2022. Her educational background includes: PhD in Cognitive Psychology from the University of Chicago (2017) MA in Cognitive Psychology from the University of Chicago (2009) BA in Psychology from Boston University (2008) Dr. Hayakawa's research focuses on the impact of language and bilingual experience on cognition and behavior . Her work explores how linguistic factors influence judgment and decision making, with particular attention to risk assessment, moral dilemmas, and health-related choices. She investigates how using native versus foreign languages affects cognitive processes including memory, sensory perception, and mental imagery. Her research employs methodologies such as eye-tracking, behavioral experiments, and computational modeling to understand the complex interplay between language and thought. Analysis of Dr. Hayakawa's recent publications reveals strong thematic consistency across her work, with a central focus on the foreign language effect - how cognitive and emotional processes differ when operating in a non-native language. Her research spans multiple domains including medical decision-making, risk perception, memory, and semantic processing. A distinctive feature of her work is the application of basic cognitive research to real-world contexts, particularly healthcare settings where language differences could significantly impact patient outcomes. Dr. Hayakawa teaches undergraduate and graduate courses in Cognitive Psychology at Oklahoma State University. Previously at Northwestern University, she taught courses on Language and Cognition and Science Communication. Her teaching portfolio also includes experience with MBA-level courses on Negotiation, Leadership, and Management from her time at the University of Chicago. She directs the Language, Cognition, and Behavior Lab at Oklahoma State University, which appears to focus on the intersection of language processing, cognitive mechanisms, and real-world decision making. The lab likely involves both undergraduate and graduate students in research projects examining how language shapes thought across various contexts.

Theresa S. BetancourtView profile

Professor

• Implementation Science
• Health and Human Rights
• Mental Health
• +7 more

Theresa S. Betancourt is the Salem Professor in Global Practice at the Boston College School of Social Work and Director of the Research Program on Children and Adversity (RPCA) . Her research focuses on the psychosocial consequences of adversity on children and families, resilience in mental health, and cross-cultural mental health interventions. She leads studies on war-affected youth in Sierra Leone, refugee families, and HIV/AIDS-affected children, with a focus on scalable interventions like the Youth Readiness Intervention (YRI) and the Sugira Muryango family-strengthening program in Rwanda. Education: B.A., Linfield College M.A., University of Louisville Sc.D., Harvard University Research Interests: Implementation Science, health and human rights, mental health disparities, refugee and immigrant health, trauma, and child development. Her work emphasizes culturally adapted interventions to address poverty, violence, and social determinants of health in low-resource settings. Grants & Projects: PI on NIH/NIMHD-funded studies evaluating family-based mental health interventions for refugees and the LEGO Foundation-funded PLAY Collaborative scaling initiative in Rwanda. She collaborates with the World Bank on youth employment programs integrating mental health services in Sierra Leone. Awards: 2020 Blanche F. Ittleson Award 2016 Alice Hamilton Award Labs/Teams: Oversees the Research Program on Children and Adversity (RPCA) , focusing on implementation science and global mental health equity. Her team develops evidence-based interventions for vulnerable populations in conflict zones and humanitarian settings.

John D. MayerView profile

Professor

• Emotional Intelligence
• Personal Intelligence
• Personality Psychology
• +4 more

John D. Mayer is a Professor in the Department of Psychology at the University of New Hampshire. He holds a Ph.D. from Case Western Reserve University and B.A. degrees in English and English Composition from the University of Michigan. His research focuses on emotional and personal intelligence, personality psychology, and psychometrics, particularly the Personality Systems Framework. He supervises the Personality Laboratory and has authored influential textbooks like Personality: A Systems Approach and Personal Intelligence . His work addresses the measurement of emotional and personal intelligence, including the MSCEIT and TOPI tests. Key publications span theoretical frameworks, meta-analyses of intelligences, and applications in education and workplaces. He teaches courses in personality psychology, tests and measurement, and social psychology. Education: Ph.D., Psychology, Case Western Reserve University M.A., Psychology, Case Western Reserve University B.A., English, University of Michigan B.A., English Composition, University of Michigan Research & Grants: Focus on emotional/personal intelligence, personality measurement, and psychometrics. Developed MSCEIT and TOPI tests. Explored applications of personal intelligence in academic and professional settings (e.g., West Point cadet performance). Awards: While no explicit awards are listed, his contributions to emotional intelligence research are widely recognized in the field. Labs/Teams: Director of the Personality Laboratory at UNH, integrating theoretical and empirical research on personality systems. His work bridges psychological theory and practical measurement, emphasizing the role of personal and emotional intelligence in understanding human behavior.

Read MontagueView profile

Professor

• Neuroscience
• Psychiatry
• Addiction Studies
• +3 more

Read Montague is a Professor in the Department of Physics at Virginia Tech, affiliated with the Virginia Tech Carilion Research Institute (VTCRI), where he directs the Human Neuroimaging Lab. He holds a Ph.D. from the University of Alabama at Birmingham. His research focuses on computational neuroscience, mental health disorders (e.g., borderline personality disorder, anorexia nervosa), and the neurobiological underpinnings of social interaction and decision-making. Utilizing advanced neuroimaging, machine learning, and behavioral paradigms, his work bridges basic neuroscience with clinical applications. Key areas include neuromodulation (dopamine, serotonin), social cognition, and translational psychiatry. Recent work explores neural mechanisms in psychiatric conditions, such as impaired mentalizing in depression and disrupted self-other generalization in borderline personality disorder. His lab develops tools like real-time neurotransmitter sensing (e.g., dopamine fluctuations during decision-making) and computational models of mental health outcomes. Montague’s interdisciplinary approach addresses challenges in diagnosis, treatment, and understanding human behavior at societal scales. Awards and grants are not explicitly listed here, but his contributions span over 200 publications. He collaborates globally, advancing translational research from lab to clinic. Current projects include neural reconfiguration during social exchanges and the impact of early childhood experiences on adult brain function.

Panagiotis KarkazisView profile

Associate Professor

• Embedded Systems
• Internet of Things (IoT)
• Cloud Computing
• +7 more

Panagiotis Karkazis serves as Associate Professor in the Department of Computer Engineering at the School of Engineering, University of Western Attica. His academic foundation includes a BSc in Electrical Engineering from the Technological Institute of Piraeus (1999), an MSc in Electronic Communication from Kingston University (2005), and a PhD from the Technical University of Crete (2014) focused on trusted routing protocols in wireless sensor networks. His industry background as an Embedded Systems Software Engineer in telecommunications R&D complements his academic profile. His research spans Embedded Systems, IoT, Cloud Computing, SDN/NFV, and Wireless Sensor Networks, with recent emphasis on 6G networks, Reconfigurable Intelligent Surfaces, and blockchain applications. Key interests include user-centric network design, AI-driven optimization, and industrial IoT implementations. His work bridges theoretical networking with practical applications in cybersecurity, renewable energy education, and Industry 4.0/5.0 systems. Analysis of his recent publications reveals three dominant trends: 1) Next-generation wireless technologies (RIS, 6G) addressing interference and reliability challenges; 2) Meta operating systems (NEMO) and data spaces for distributed computing; 3) Interdisciplinary applications combining blockchain with serious gaming for education and supply chain security. His work consistently integrates AI/ML techniques for network optimization and demonstrates strong European research collaboration. As director of the Industrial Information Systems Lab, Karkazis leads research in industrial IoT, embedded systems, and network virtualization. He has served as principal researcher in numerous National and European projects including 5GTANGO and FASTER, focusing on SDN/NFV, cloud infrastructure, and real-time communications. His lab actively develops solutions for smart factories, cybersecurity in farm-to-fork supply chains, and safety hazard detection in Industry 5.0 environments.

Rajendra A. MoreyView profile

Professor

• Neuroscience
• Psychiatry
• Neuroimaging
• +4 more

Rajendra A. Morey is a Professor of Psychiatry and Behavioral Sciences at Duke University, with affiliations in Psychology & Neuroscience (Trinity College of Arts & Sciences) and the Duke-UNC Brain Imaging and Analysis Center. His research focuses on neuroimaging techniques (fMRI, DTI) to study brain changes in PTSD, TBI, and other neuropsychiatric disorders. He holds leadership roles in the Duke Institute for Brain Sciences and has led over 40 grants, including NIH-funded studies on brain structure and function in trauma-affected populations. Education: M.D., Drexel University, 1997 M.S., Case Western Reserve University, 1992 B.S., Case Western Reserve University, 1985 Research Interests: Dr. Morey’s work integrates genetics, neuroimaging, and clinical data to understand trauma’s impact on brain structure/function. Key areas include PTSD neurobiology, TBI sequelae, and accelerated aging mechanisms in veterans. He co-leads ENIGMA initiatives to standardize neuroimaging analyses across global datasets. Grant Highlights: Structural/Functional Architecture of Cortico-Cerebellar Systems in PTSD (NIH, 2025–2029) Genomic Architecture of Functional Brain Networks in PTSD (NIMH, 2023–2026) ENIGMA-Brain Injury Data Harmonization (2020–2025) Publications: Recent work addresses PTSD symptom classification via fMRI (Nature Neuroscience, 2024), ENIGMA’s chronic pain initiative (PAIN, 2024), and TBI’s epigenetic aging effects (J Gerontol, 2024). Over 150+ peer-reviewed articles span brain injury, neuroimaging standards, and PTSD genetics. Labs/Teams: Member of Duke’s Brain Imaging Center and ENIGMA consortia, advancing multisite neuroimaging research. Collaborates with clinical teams on veteran health and translational neuroscience.

Sen ChengView profile

Professor

• Computational Neuroscience
• Neural Mechanisms of Learning and Memory
• Hippocampal Dynamics
• +5 more

Prof. Sen Cheng is a Professor at the Institute of Neuroinformatics (INI), part of the Faculty of Computer Science at Ruhr-Universität Bochum. His research focuses on computational neuroscience, particularly the neural mechanisms underlying learning, memory, and spatial navigation. He leads a lab investigating hippocampal dynamics, combining mathematical modeling with optogenetic and electrophysiological data analysis. Collaborations span neuroscientists in Germany and internationally. Research interests include hippocampal replay mechanisms, episodic memory functions, and the interplay between sensory inputs and neural networks. His work bridges computational models (e.g., spiking neural networks) with experimental data from rodents and humans. Recent projects explore deep reinforcement learning agents for spatial navigation and the role of grid cells in cognitive mapping. Publications span Neuron , Current Biology , and eLife , addressing topics like hippocampal network stabilizations, spatial coding efficiency, and cerebellar contributions to fear extinction. Teaching includes courses on computational neuroscience, artificial neural networks, and mathematical psychology. Lab activities involve interdisciplinary research through colloquia like Brains in Space and supervision of master’s and bachelor’s theses in areas like reinforcement learning algorithms and embodied associative networks. The INI’s mission drives his work, linking biological insights to artificial cognitive systems design.

Michael AmslerView profile

Researcher

• Automated Media Content Analysis
• Political Communication
• Social Media Analysis
• +3 more

Michael Amsler is a Researcher at the University of Zurich’s Institute of Mass Communication and Media Research, part of the Faculty of Arts. He holds dual roles as a Postdoctoral Scholar in Media Research and a Research Assistant in the Department of Computational Linguistics (Innosuisse Project ReAdvisor). His research focuses on automated media content analysis, political communication, and computational linguistics applications in social media environments. Amsler earned his MA in Mass Communication and Media Research (2012) and completed his PhD in the NCCR Democracy project (2020). Education: MA 2012 (UZH), PhD 2020 (UZH) Affiliations: Institute of Mass Communication, Department of Computational Linguistics, ARGUS der Presse AG (2013-2020) His work bridges computational methods with political communication studies, analyzing media framing of governance, populist strategies, and emotionalized discourse. Key projects include SIFT (media coverage toolkit) and ReAdvisor (innosuisse NLP project). His publications span sentiment analysis frameworks, verb-based polarity classification, and social media’s role in amplifying political anger. Notable contributions include developing Sentiframes (verb-centric German sentiment resources) and exploring how alternative media drive polarized reactions. His research emphasizes automated tools for analyzing governance legitimacy and public accountability through language technologies.