Find Academic Supervisors

• High Resolution Magnetic Resonance Imaging
• Quantitative Cardiovascular MRI
• Cardiac Magnetic Resonance Fingerprinting
• +2 more

Daniel Herzka is an Associate Professor at the Department of Radiology , School of Medicine , Case Western Reserve University . His research focuses on high-resolution magnetic resonance imaging , quantitative cardiovascular MRI , and cardiac magnetic resonance fingerprinting . Herzka develops innovative MRI techniques for in vivo neurography and cardiovascular applications , including interventional MRI and low-field MRI systems . Doctor of Philosophy in Biomedical Engineering, Johns Hopkins University School of Medicine (2004) Master of Engineering in Biomedical Engineering, Johns Hopkins University (1999) Professional affiliations include membership in the International Society for Magnetic Resonance in Medicine (ISMRM), Society for Cardiovascular Magnetic Resonance Imaging (SCMR), Medical Image Computing and Computer Assisted Intervention Society , and American Heart Association (AHA). Herzka's research has produced significant publications in Magnetic Resonance in Medicine , Journal of Cardiovascular Magnetic Resonance , and Radiology , primarily focusing on cardiac imaging , low-field MRI , and interventional radiology . His recent work explores accelerated T2 mapping , low-rank reconstruction , and cardiac interventional devices . Herzka's scientific contributions span MRI physics , sequence optimization , and clinical translation of imaging technologies . Key collaborators include researchers from National Institutes of Health , Johns Hopkins University , and University Hospital Bonn . Developed real-time free-breathing cardiac imaging with self-calibrated radial GRAPPA Innovated sorted Golden-step phase encoding for self-gated cine MRI Created analytical polyhedral MRI phantoms for imaging validation

• Implicit Psychological Assessment
• Social Categorization and Prejudice
• Expectation Violations
• +3 more

Prof. Dr. Sarah Teige-Mocigemba serves as University Professor and Head at the Department of Psychological Diagnostics (Teige-Mocigemba Group) within the College of Psychology at Philipps-University of Marburg. She holds a W3 professorship in psychological diagnostics since 2023, having declined a similar position at Albert-Ludwigs-University Freiburg in the same year. Current affiliation: Philipps-University of Marburg Academic rank: Full Professor Research focus: Implicit psychological processes in attitudes, stereotypes, self-concept, and systemic approaches to psychological diagnostics Research Interests: Her work centers on developing and analyzing implicit psychological assessment methods, including: Theoretical analyses of implicit procedures Construct-independent factors affecting implicit measures Social categorization and prejudice Prejudice reduction interventions Expectation violations and stereotype maintenance Context effects in psychological assessment Systemic approaches to psychological diagnostics (in collaboration with Beatriz Arias Martin) Publication Trends: Her 15 most recent articles (2004-2025) demonstrate consistent focus on: Implicit bias measurement techniques Validation of psychological assessment tools Expectation violation models Prejudice and stereotype research Cognitive processes in aggression Online self-assessment methodologies Scientific Awards: Notable recognitions include: Spokesperson for DFG Graduate College 2271 (2017-2026) Brigitte-Schlieben-Lange Program Stipend (2017) Baden-Württemberg Foundation Postdoctoral Grant (2011-2014) Eugen-Fink Early Career Award (2009) Academic Leadership: She supervises doctoral students Paul Bacher, Violetta Biermann, and Kiara Roth. Her research team includes Dr. Manuel Becker and Dr. Massimo Köster. She has served in various academic governance roles including: Mentor in ProProfessur Mentoring Program (since 2022) Chair of the Equal Opportunities Commission (since 2020) Member of the Steering Committee for Graduate College 2271 (since 2019) Member of Marburg's Faculty Council (2018-2022)

Ralf GaluskeView profile

Professor

• Systems neurophysiology
• Neuronal plasticity
• Cortical network interactions
• +2 more

Prof. Dr. Ralf Galuske leads the Systems Neurophysiology group at Technische Universität Darmstadt, focusing on the spatio-temporal dynamics of cortical network interactions. His research explores hierarchical processing in the cerebral cortex, particularly feedback mechanisms from higher cortical areas to primary visual cortex, and the role of brain arousal states in representational plasticity. Core member of the Centre for Cognitive Science at TU Darmstadt Research spans comparative neuroanatomy (human vs. other species) and functional architecture of sensory systems Employs multi-electrode recordings, optical imaging, and tract tracing methods His work reveals how cortical representations depend on both stimulus exposure and brain state modulation via the mesencephalic reticular formation. Current projects include mapping human cortico-cortical connections using DiI tracing and diffusion MR techniques.

Tie CuiView profile

Lecturer

• Public Service Management
• Value Co-creation
• Service Ecosystems
• +5 more

Tie Cui serves as a Lecturer in Service Management at the University of Edinburgh Business School since April 2023, specializing in public service design and transformation. Her academic journey includes prior lecturing positions at the University of Greenwich (2021-2022) and Edinburgh Napier University (2022-2023). Dr. Cui holds a PhD from the University of Edinburgh (2021), fully funded by the Centre for Service Excellence (CenSE), following an MSc in Public Administration from Lanzhou University and a BSc in Public Administration from Shandong University. Her research centers on public service ecosystems , examining value co-creation and destruction in addressing grand challenges like climate change and pandemics. She employs qualitative methodologies to investigate policymaking, collaborative governance, and social innovation. Her work appears in leading journals including Public Administration Review , Public Administration , and Public Management Review . Analysis of her 24 publications reveals consistent focus on service ecosystem theory applied to crisis management (particularly pandemic responses) and environmental challenges. Her recent work increasingly integrates digital transformation themes with traditional public administration frameworks, demonstrating evolving research trajectories toward AI implementation and data-driven governance. Dr. Cui actively contributes to scholarly discourse through presentations and panel chairing at major conferences including IRSPM, PMRC, and PUBSIC. Her international collaborations span multiple continents, reflecting the global relevance of her public service research. She mentors students in public administration and service management, though specific advisee names aren't documented in available sources. Her research has secured funding through competitive channels including the Centre for Service Excellence, enabling fieldwork on Scottish public service innovations. Dr. Cui participates in the university's Service Innovation Lab, contributing to interdisciplinary projects examining healthcare service redesign and climate adaptation strategies through ecosystem lenses. Her current work explores AI ethics in public service algorithms and post-pandemic service recovery frameworks.

Michael HendersonView profile

Associate Professor

• Parkinson’s disease
• Neurodegenerative disease models
• α-synuclein pathology
• +4 more

Dr. Michael Henderson is an Associate Professor in the Department of Neurodegenerative Science at Van Andel Institute (VAI) and Director of the VAI Brain Bank. His research focuses on neurodegenerative diseases like Parkinson’s and dementia with Lewy bodies (DLB), investigating protein pathologies (e.g., α-synuclein, tau) and genetic risk factors (e.g., LRRK2, GBA1). He earned his B.Sc. in Biological Science from Florida State University, Ph.D. in Neuroscience from Yale University (under Dr. Sreeganga Chandra), and conducted postdoctoral work at the University of Pennsylvania (with Drs. Virginia Lee and John Trojanowski). Promoted to Associate Professor in 2024, his lab combines primary neuron cultures, animal models, and computational modeling to study disease mechanisms and therapeutic targets. Key research areas include: (1) Mapping α-synuclein pathology spread via brain connectivity networks, (2) Evaluating LRRK2 kinase inhibitors and glucocerebrosidase modifiers, (3) Identifying cell-type vulnerabilities using spatial transcriptomics, and (4) Translating discoveries into clinical trials. His lab has published over 120 peer-reviewed papers, including 63 in high-impact journals (2024 alone). Notable grants include a $5.8M NIH grant (2025) studying cellular senescence in Parkinson’s and a $9M Aligning Science Across Parkinson’s award (2021). Awards include the NSF Graduate Research Fellowship (2012) and NIH Ruth L. Kirschstein Award (2017). His team includes 10+ advisees (Ph.D. students, postdocs, and technicians), with active collaborations across institutions like Yale and the University of Pennsylvania. The Henderson Lab aims to accelerate therapies by bridging basic science and clinical applications.

Saskia De KlerkView profile

Associate Professor

• Entrepreneurial Ecosystems
• Networking
• Innovation
• +5 more

Associate Professor Saskia De Klerk is a faculty member at the University of the Sunshine Coast (UniSC), Queensland, Australia, serving as Discipline Lead for Marketing, International Business, and Tourism within the School of Business and Creative Industries. She holds adjunct positions at North-West University (South Africa) as Associate Professor and at UNSW Canberra as Adjunct Senior Lecturer. Education: PhD (Potchefstroom University) MCom (Potchefstroom University) BCom(Hons) (Potchefstroom University) BComm (Potchefstroom University) Research Interests: Entrepreneurial Ecosystems & Regional Development Networking & Social Capital Innovation & Bricolage Strategies Sustainable Practices (Circular Economy) Women Entrepreneurs & Leadership Her work focuses on advancing entrepreneurship through ecosystem mapping, cultural adaptation, and sustainable resource utilization. Awards & Recognition: Senior Fellow of the Higher Education Academy (2021) Best Paper Award, USC Research Celebration (2018) Outstanding Service Award for Journal Reviewing (2019) Certified Accidental Counsellor (Lifeline Australia, 2018–2020) Grants & Projects: Lead researcher on $926k ACIAR-funded project on Pacific horticultural loss reduction Co-investigator on Australian Govt.-funded accelerator ecosystem study ($100k impact) Sunshine Coast Food & Agribusiness Profiling ($10k council grant) Military Veteran Entrepreneurship grant ($8k) Labs & Collaborations: UniSC Seaweed Research Group Sunshine Coast Regional Innovation Project Team (SCRIPT) North-West University’s TREES Tourism Research Group Teaching & Mentorship: Mentor for Generation Innovation (2019–2023) Telstra Mayor Innovation Program Mentor (2022) Supervised 14 global PhD students across diverse fields

• Quantitative Science Studies
• Social Network Analysis
• Interdisciplinary Research
• +5 more

Bart Thijs is an Assistant Professor at the Faculty of Economics and Business of KU Leuven , Belgium. He is affiliated with the Department of Management, Strategy and Innovation and serves as a research expert at ECOOM , the Research and Development Monitoring Research Centre. He is also a member of Leuven.AI , the KU Leuven Institute for Artificial Intelligence, and participates in various faculty councils and program committees. Research Focus His research lies at the intersection of quantitative science studies , social network analysis , and interdisciplinary research evaluation . He employs advanced bibliometric and AI-based techniques to study knowledge networks, citation patterns, and the impact of interdisciplinary collaboration. His work often involves the development of new indicators and methodologies for assessing scientific output and collaboration. Projects & Collaborations NIKAW (2023–2027): Tracing the Impact of Change on Citation Networks in Ancient Literary Texts using Social Network Analysis. NIKAW (2022–2026): Networks of Ideas and Knowledge in the Ancient World. AI & Ancient World Scholarship (2021–2023): Linking traditional scholarship with digital tools via AI. Interdisciplinary Research & Impact (2020–2025): Co-promoting interdisciplinary initiatives. Teaching He teaches courses such as Analysis of Large Scale Social Networks and Advanced Research Methods in Quantitative Science and Technology Studies , contributing to both methodological and domain-specific education in scientometrics and network science.

Márton KarsaiView profile

Associate Professor

• Network Science
• Computational Social Science
• Data Science
• +5 more

Márton Karsai is an Associate Professor and Head of the Department of Network and Data Science at Central European University (CEU). He also serves as a Research Professor at the Rényi Institute of Mathematics (Hungary) and Editor-in-Chief of Advances in Complex Systems . His work focuses on computational social science, human dynamics, and data-driven modeling of socioeconomic systems. Karsai holds advanced degrees including a DSc from the Hungarian Academy of Sciences and an HDR (Habilitation) in Computer Science from École Normale Supérieure de Lyon. His research integrates temporal networks, human mobility, and social contagion phenomena, often using large-scale datasets from digital platforms and wearable sensors. Notable projects include studies on evacuation behavior during disasters, vaccination hesitancy, and urban socioeconomic stratification. Karsai leads interdisciplinary initiatives like the DyLNet project, which examines social interactions and language development in preschool environments through sensor technology. Recent publications highlight innovations in network clustering algorithms (PASCO), epidemic modeling with generalized contact matrices, and the application of machine learning to infer socioeconomic status from satellite imagery. His work bridges computational methods with real-world challenges in public health, urban planning, and humanitarian development.

Luciana Mendes BarbosaView profile

Lecturer

• Climate Change Politics
• Socio-Environmental Conflicts
• Development Projects in Global South
• +7 more

Luciana Mendes Barbosa is a Lecturer in Sociology (Climate Change) at Lancaster University, within the Faculty of Arts and Social Sciences (FASS). Her research focuses on the politics of climate change, socio-environmental conflicts, and development projects in the Global South, particularly examining precarity, climatic hazards, and resistance to injustices in urban informal settlements in Brazil. She holds a MSc in International Relations from Pontificia Universidade Católica de Minas Gerais (PUC-Minas) and a BA (Hons) in Geography from Universidade Federal de Minas Gerais (UFMG). Education: BA (Hons) in Geography, Universidade Federal de Minas Gerais (UFMG) MSc in International Relations, Pontificia Universidade Católica de Minas Gerais (PUC-Minas) Research Interests: Barbosa’s interdisciplinary work combines human geography with sociology to analyze how environmental policies intersect with social inequities. Key themes include: Climate change governance and its political dimensions Socio-environmental conflicts in marginalized communities Racial segregation and urban development in Brazilian cities Medical cannabis advocacy and patient networks in Latin America State-led environmental initiatives and their impacts on informal settlements Publications Trends: Her recent publications (2019–2024) emphasize medicinal cannabis as a site of social mobilization and healthcare autonomy, alongside critical analyses of urban displacement in Brazil. Earlier work (2010–2014) explored climate change securitization and transboundary water governance, reflecting her expertise in global environmental politics. Projects & Grants: ADAPTA-Mossoró : 10/2025–09/2025 – Focuses on urban climate adaptation strategies in Mossoró, Brazil Accumulation by segregation and dispossession : 01/2024–Present – Examines racial segregation in Brazilian social housing policies Labs/Teams: She is affiliated with the Critical Geographies research group at Lancaster University, which interrogates spatial inequalities and political ecologies.

Charlotte ForemanView profile

Academic

• Polymer Composite Materials
• Mechanical Engineering
• Moisture Absorption in Materials
• +4 more

Charlotte Foreman is a Senior Teaching Fellow and Programme Director for Mechanical Engineering programs at the School of Mechanical Engineering Sciences, University of Surrey. She focuses on both engineering pedagogy and polymer composite material research for marine applications. Research Interests Investigation of moisture absorption and accelerated aging in polymer composites 3D printing applications in higher education Salutogenic approaches to university teaching Scientific Contributions 2022: Studies on polymer composite degradation under multi-condition aging 2021: Recipient of Cadzow Smith Award 2020: Evaluation of 3D printing in engineering curriculum development

Marjorie SolomonView profile

Professor

• Cognitive Development
• Autism Spectrum Disorder
• Neuropsychology
• +5 more

Dr. Marjorie Solomon is the Oates Endowed Professor of Psychiatry at the University of California-Davis, serving as Associate Director of the MIND Institute and the Imaging Research Center. Her research focuses on cognitive development in autistic children, adolescents, and young adults, employing neuropsychological and fMRI methodologies. She leads a clinical trial evaluating cognitive behavioral therapy (CBT) and medication efficacy in ASD-anxiety comorbidity, using fMRI as a biomarker. As co-Director of the NIMH T-32 Autism Research Training Program, she trains future researchers. Her work examines neural and behavioral predictors of cognitive development, internalizing problems, and social determinants of health in autism. Key interests include sex differences in brain development, cortical thickness variations, and white matter pathways influencing language outcomes. She investigates sensory processing, decision-making under uncertainty, and the relationship between symptom severity changes and psychopathology. Dr. Solomon has secured a $3.8M NIMH R01 grant for studying neural predictors in ASD. Her research spans over 20 years, with publications addressing fMRI biomarkers, autism phenotypes, and interventions like the ACCESS program for young adults. She explores intersectionality in Black/African American autistic populations and machine learning approaches to functional impairment classification. Her clinical contributions include pioneering the STAAR trial for anxiety treatment and evaluating oxytocin’s effects in primate models. She emphasizes translating neuroimaging findings into actionable clinical strategies for improving adaptive functioning and mental health outcomes in neurodiverse populations.

• Neuroimaging
• Brain Mapping
• Computational Neuroscience
• +4 more

Paul M. Thompson, PhD is a Professor at the Keck School of Medicine of the University of Southern California, with appointments across 8 departments including Neurology, Psychiatry, Biomedical Engineering, and Quantitative & Computational Biology. He leads the ENIGMA Consortium , a global network of 2500+ scientists across 47 countries conducting large-scale neuroimaging-genetics studies of 30+ brain disorders. His research integrates neuroimaging, mathematics, computer science , and clinical medicine to map brain diseases and develop AI tools for early detection. Education: MA in Mathematics & Classics (Oxford), PhD in Neuroscience (UCLA) Labs: Director of the USC Imaging Genetics Center (50+ researchers) and $11M NIH ENIGMA Center for Worldwide Medicine, Imaging & Genomics Key research areas include: Alzheimer’s Disease : Identifying genetic risk variants and AI-driven subtyping for novel treatment targets Psychiatric Disorders : Mapping brain changes in schizophrenia, depression, OCD, and bipolar illness Developmental Neuroscience : Tracking brain growth in children and fetal programming effects Global Health : India ENIGMA Initiative studying brain aging in diverse populations His recent publications focus on deep learning for MRI analysis , diffusion models for synthetic imaging , and genetic correlates of brain structure in journals like Nature Genetics , Science , and Nature . Major Awards : 2023 Society for Brain Mapping & Therapeutics: Pioneer in Medicine Award 2021 U.S. Alzheimer Association: Zenith Award 2015 Kent Innovations in Academia Award Leadership : Director, ENIGMA Center for Worldwide Medicine ($11M NIH) Director, AI4AD ($18M NIH Initiative) Founder, India ENIGMA Initiative

Matt LeschView profile

Lecturer

• Comparative Public Policy
• Political Science
• Public Health Policy
• +5 more

Dr Matt Lesch is a Lecturer in the Department of Politics at the University of York. His interdisciplinary research bridges comparative public policy, political science, and public health, focusing on ideas and policy change, policy transfer processes, and evidence-policy dynamics. He has explored these themes in alcohol policy, public health, and taxation domains across Europe, Australia, North America, and Africa. PhD, University of Toronto (2017) MA, University of British Columbia BA (Hons.), Western University His research includes the Wellcome Trust-funded TRAPS program on alcohol industry influence and participation in international collaborations like the WHO Europe/EU Evidence into Action Alcohol Project, UK/Ireland Alcohol Research Network, and Kettil Bruun Society. He welcomes PhD applications in comparative public policy, particularly in health policymaking and ideational analysis. Recent publications examine alcohol policy framing during crises, corporate social responsibility in retail, and cross-jurisdictional policy transfers. His work has been published in BMJ Global Health , BMC Public Health , Globalization and Health , and Addiction . Contact: matt.lesch@york.ac.uk

Xuan Vinh ToView profile

Research Fellow

• Neuroimaging
• Traumatic Brain Injury (TBI)
• Neuroinflammation
• +5 more

Dr. Xuan Vinh To is a Postdoctoral Research Fellow at the Queensland Brain Institute, The University of Queensland. His research focuses on neuroimaging techniques and their application to traumatic brain injury (TBI), neuroinflammation, and neurodegenerative diseases such as Alzheimer's. He holds a PhD in Neuroscience from The University of Queensland (2021). Education: PhD in Neuroscience, The University of Queensland, 2021 Research Interests: Development of advanced MRI techniques for TBI assessment Neuroinflammation biomarker discovery Functional connectivity analysis in aging and disease Preclinical imaging in rodent models Machine learning applications in neuroimaging Publications Trends: His work shows strong focus on translational neuroimaging, particularly in TBI pathophysiology and recovery mechanisms. Recent studies explore MRI biomarkers linking inflammation, structural changes, and cognitive outcomes in both clinical and preclinical settings. Data Resources: He has contributed multiple datasets on TBI neuroimaging through platforms like The University of Queensland's data repository, enabling reproducible research in rodent models and clinical TBI cohorts.

Dee WuView profile

Associate Professor

• Medical Imaging
• Radiation Therapy
• Biomedical Engineering
• +7 more

Dee Wu is an Associate Professor and Chief of Technical Application and Translational Research Development at the University of Oklahoma Health Sciences Center (OUHSC). He holds advanced degrees in Mathematics, Systems Engineering, and Biomedical Engineering from Case Western Reserve University. His research focuses on medical physics, particularly in MRI techniques for tumor imaging, radiation therapy planning, and functional brain imaging. He has contributed to advancements in tumor delineation algorithms, partial volume correction in spectroscopic imaging, and inter-observer variability in tumor delineation. His work bridges clinical applications and technical innovation in medical imaging. Education: B.S., Mathematics, Case Western Reserve University M.S., Systems Engineering, Case Western Reserve University M.S., Biomedical Engineering, Case Western Reserve University Ph.D., Biomedical Engineering, Case Western Reserve University Research Interests: Dr. Wu’s expertise includes medical imaging technologies such as MRI and fMRI, radiation oncology treatment planning, tumor response modeling, and artifact correction methods. He has developed methodologies for improving tumor delineation accuracy and optimizing contrast-enhanced imaging techniques. His translational research emphasizes bridging computational algorithms with clinical outcomes in oncology and neurology. Key Contributions: His publications highlight advancements in tumor imaging biomarkers, image registration techniques, and multi-center imaging standardization. He has also contributed to educational initiatives in computational science for non-experts. His role as Chief of Technical Application underscores his commitment to translating research into practical tools for medical practice.