جست‌وجوی استاد و پژوهشگر

Robert Dicksonمشاهده پروفایل

استاد

• Physical Chemistry
• Spectroscopy
• Fluorescence Imaging in Biology
• +۵ مورد دیگر

Robert Dickson is the Vasser Woolley Professor of Chemistry at the Georgia Institute of Technology. His research group develops advanced spectroscopic, statistical, and imaging technologies for studying biological dynamics in medicine and nanoscale systems. The lab specializes in novel nanomaterials , particularly noble metal quantum dots for ultrasensitive imaging, and optically modulatable fluorescent proteins for background-free biological visualization. Their work has been recognized through multiple awards including the Camille Dreyfus Teacher-Scholar Award and NSF CAREER Award . Education: B.A. from Haverford College (1991), Ph.D. from University of Chicago (1996) Affiliation: Georgia Tech College of Sciences, Department of Chemistry and Biochemistry Research Interests span three major areas: Nanomaterials for Imaging : Developing ultrabright biodegradable Ag/Au nanoclusters with ligand-tunable emission from blue to near-infrared, utilizing dark states for optical modulation and background suppression Optical Modulation Imaging : Engineering fluorescent proteins with controllable dark states for enhanced sensitivity in live cell imaging, enabling discrimination of bound vs. diffusing species and quantitative protein interaction studies Bioinformatics for Diagnostics : Creating adaptive multidimensional statistical metrics to reduce antibiotic susceptibility testing time from 48 hours to 4 hours, with ongoing work to shorten blood culture steps to 10-hour total treatment identification Scientific Awards include Vasser Woolley Chaired Professor Camille Dreyfus Teacher-Scholar Award Alfred P. Sloan Foundation Fellow National Science Foundation CAREER Award Senior Editor, Journal of Physical Chemistry

• Perception
• Metacognition
• Subjective Experience
• +۶ مورد دیگر

Megan Peters is an Associate Professor at the University of California, Irvine, with appointments in both the Department of Cognitive Sciences and the Department of Logic and Philosophy of Science within the School of Social Sciences. She serves as president and co-founder of Neuromatch.io and is a Fellow in the Brain, Mind & Consciousness program at the Canadian Institute for Advanced Research (CIFAR). Her research focuses on the intersection of perception, metacognition, and subjective experience, employing methodologies including fMRI, computational modeling, and artificial intelligence. Peters investigates how humans form metacognitive judgments about their perceptions and decisions, examining the neural and computational mechanisms underlying confidence, uncertainty, and conscious awareness. Her work spans theoretical frameworks in philosophy of science to practical applications in neuroscience methods. Peters' recent publications reveal a strong emphasis on metacognitive processes across various domains, with particular attention to how uncertainty is represented in the brain and communicated through behavior. Her research integrates computational neuroscience with philosophical approaches to consciousness and perception, creating a unique interdisciplinary perspective. She has made significant contributions to understanding the representational geometry of psychological spaces, the dynamics of perceptual decision-making, and the development of novel methods for analyzing neural data. Fellow, CIFAR Brain Mind & Consciousness Program As co-founder and president of Neuromatch.io, Peters has created a global platform for computational neuroscience education that has democratized access to advanced training. Her leadership in organizing large-scale virtual conferences has demonstrated innovative approaches to scientific collaboration across geographical boundaries. Through her work with Neuromatch, she has mentored numerous students and early-career researchers in computational neuroscience methods. Peters maintains active involvement in the consciousness science community, regularly participating in and organizing events such as the Metacognitive Science Satellite meeting and CCN (Cognitive Computational Neuroscience) conferences. Her research laboratory investigates fundamental questions about how the brain generates subjective experiences and metacognitive awareness, with implications for both theoretical understanding and potential clinical applications.

Quentin Mérigotمشاهده پروفایل

استاد

• Optimal Transport
• Inverse Problems
• Numerical Analysis
• +۱ مورد دیگر

Quentin Mérigot is a Professor in Applied Mathematics at the University of Paris-Saclay, affiliated with the Faculty of Science at Orsay and the Institut de Mathématique d'Orsay. He serves as the Director of the Master in Optimization program, a joint initiative between University of Paris-Saclay and Institut Polytechnique de Paris. Dr. Mérigot completed his Doctoral Thesis at the University of Nice Sophia-Antipolis in 2009, followed by a Habilitation à diriger les recherches at the University of Grenoble in 2014. His research focuses on the intersection of optimal transport theory, numerical analysis, and geometric methods for data analysis. Mérigot has made significant contributions to the development of numerical methods that leverage optimization and computational geometry techniques. His work spans theoretical foundations and practical applications, including seismic tomography, reflector design, and crowd motion modeling. He is particularly known for his work on stability properties of optimal transport maps and the development of efficient algorithms for solving optimal transport problems. Analysis of Mérigot's recent publications reveals a strong focus on quantitative stability properties of optimal transport maps, with applications spanning from machine learning to optics and fluid dynamics. His work demonstrates a consistent theme of bridging theoretical mathematical analysis with computational methods, particularly through the development of Lagrangian discretization techniques and Newton-type algorithms for solving complex geometric problems. Junior member of the Institut universitaire de France (IUF) Professor Mérigot has supervised numerous PhD students including Alex Delalande, Anatole Gallouët, Clément Sarrazin, Jocelyn Meyron, and Julien André. He has also hosted several postdoctoral researchers such as Jean-Baptiste Keck, Andrea Natale, Federico Stra, Thomas Gallouët, and Hiba Abdallah. His current research projects include PEPR PDE-AI and OT @ Lagrange, which likely represent significant collaborative efforts with funding support. Mérigot is an active member of the mathematical community, with his research bridging pure mathematical analysis, computational methods, and practical applications across various scientific domains. His work demonstrates the power of optimal transport theory as a unifying framework for diverse problems in mathematics and its applications.

• Medical Imaging
• Magnetic Resonance Imaging (MRI)
• Diffusion MRI
• +۵ مورد دیگر

Wenchuan Wu serves as Associate Professor in the Nuffield Department of Clinical Neuroscience within Oxford University's Medical Sciences Division and holds a Research Fellowship at Wolfson College. His work pioneers advanced MRI methodologies for elucidating brain structure and function through innovative acquisition and reconstruction techniques. Research focuses on submillimeter-resolution diffusion MRI, rapid brain connectivity mapping, computational artifact reduction, ultra-high field (7T) neuroimaging, and post-mortem studies of unfixed human brains. His methodologies integrate joint k-q acceleration, structured low-rank reconstruction, and Gaussian process modeling to overcome traditional resolution and distortion limitations in neurological imaging. Recent publications demonstrate accelerating trends in high-resolution diffusion imaging, with emphasis on motion correction, boundary artifact suppression, and multi-contrast integration. His work bridges computational innovation with clinical neuroscience, particularly in infant brain development and vascular imaging applications. Wu leads collaborative projects within Oxford's Diffusion Acquisition & Reconstruction and Ultra High-Field MRI Physics groups, working closely with Ziyu Li, Xinyu Ye, and Qijia Shen. His research is funded by the Royal Academy of Engineering and Wellcome Trust, supporting development of next-generation imaging protocols for both in vivo and post-mortem applications.

• Environmental Science
• Geospatial Informatics
• Machine Learning
• +۳ مورد دیگر

Hamid Mehmood serves as an Adjunct Assistant Professor at McMaster University's School of Earth, Environment & Society, contributing to interdisciplinary environmental and societal research through computational methods. His scholarly focus spans multiple domains: Environmental Science (flood/reservoir mapping, carbon cycle analysis) Geospatial Informatics (GNSS/WLAN positioning, Landsat/GIS platforms) Machine Learning (neural networks for urban/environmental applications) Public Health (AMR, cardiovascular coping, clinical trials) ICT for Development (Urdu systems for farmers, mobile scaling) Recent publications demonstrate a shift toward urgent global challenges: 2024 machine learning-driven urban slum mapping in Indonesia, 2022 environmental health reviews on antimicrobial resistance, and 2021 geospatial platforms for flood management. His work consistently bridges technical innovation (e.g., Google Earth Engine, IVIG trials) with socio-economic contexts in Pakistan, Saudi Arabia, and Southeast Asia, while earlier research (2013-2015) established foundations in neural network-optimized positioning systems.

• Spatial Planning
• Demographic Change
• Infrastructure Planning
• +۸ مورد دیگر

Dr. Tatjana Fischer is a Senior Lecturer at the Institute of Spatial Planning, Environmental Planning and Land Rearrangement, part of the Department of Landscape, Water and Infrastructure at the University of Natural Resources and Life Sciences, Vienna (BOKU). Her work bridges demographic change, spatial planning policy, and social infrastructure, with a focus on aging populations, rural-urban dynamics, and accessibility. Habilitation in Spatial Research and Planning (2023) Doctoral Degree in Environmental Technology (2005) Research Interests: Infrastructure planning under demographic shifts, transdisciplinary methodologies, and accessibility in tourism and urban development Her recent publications explore residential mobility among the elderly, climate change adaptation strategies, and temporary housing solutions, reflecting her commitment to sustainable spatial frameworks. She has secured funding from the Austrian Research Promotion Agency (FFG), European Commission, and national ministries for projects addressing flood risk management, social infrastructure, and return migration patterns. Awards include the Alois Mock-Wissenschaftspreis (2024), BOKU Nachhaltigkeitspreis (2023), and multiple grants from the Austrian Federal Ministry for Science and Research. Fischer actively contributes to public discourse through presentations at global conferences on topics like disability-inclusive planning, regional resilience, and demographic trends. Key Projects: Identification and Assessment of Non-Climate Risk Drivers (2026-2028), Accessible Spaces for All (2023-2026), and Regional Resilience in Ötscher Region (2023-2025) Leadership: Project lead in 12+ research initiatives since 2009

Malini Olivoمشاهده پروفایل

استاد مدعو

• Medtech
• Biophotonics
• Nanobiophotonics
• +۳ مورد دیگر

Prof. Malini Olivo, F.SNAS, F.AIMBE, F.Optica, is a globally renowned academic in Medtech and Biophotonics. She serves as a Distinguished A*STAR Fellow and Distinguished Principal Scientist at A*STAR Skin Research Labs (A*SRL), leading the Translational Biophotonics Laboratory . Concurrently, she holds Adjunct Professor roles at National University Health System (NUS) , Singapore; LKC School of Medicine at NTU , Singapore; and Royal College of Surgeons in Ireland . Her research bridges Biophotonics, Nanobiophotonics, and clinical diagnostics, focusing on photoacoustic hybrid imaging , confocal Raman spectroscopy , SERS , and diffuse optics . Projects include OPTIMAS (AI-assisted skin metrology), Ultrasound-guided photoacoustic imaging for breast cancer margins, and Ovasers (SERS-based ovarian cancer diagnostics). Her 15 most recent publications (2019-2024) span biomedical imaging, wearable diagnostics, and SERS technology, reflecting her expertise in Cancer Diagnostics , VOC detection , and point-of-care systems . She has secured over $50 million in global grants, including the $8.3 million IAF-PP TBIP program, and co-founded two MedTech companies. SingHealth Research Excellence Award (Cancer Diagnostics) Singapore President’s Technology Award (2024) for Respiree Fellowships: SNAS, AIMBE, OPTICA, Institute of Physics She has led five first-in-human clinical trials in skin cancer, breast cancer, and inflammatory diseases. Her lab team includes Veena Venugopal, Abundo Maria Paulene Bernal, Ghayathri Balasundaram, Zhang Ruochong, and Jaclyn Siw Sook Lin. Her work ranks among the top 2% of the world’s most cited scientists.

• High Resolution Magnetic Resonance Imaging
• Quantitative Cardiovascular MRI
• Cardiac Magnetic Resonance Fingerprinting
• +۲ مورد دیگر

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
• +۳ مورد دیگر

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 Galuskeمشاهده پروفایل

استاد

• Systems neurophysiology
• Neuronal plasticity
• Cortical network interactions
• +۲ مورد دیگر

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 Cuiمشاهده پروفایل

مدرس

• Public Service Management
• Value Co-creation
• Service Ecosystems
• +۵ مورد دیگر

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 Hendersonمشاهده پروفایل

دانشیار

• Parkinson’s disease
• Neurodegenerative disease models
• α-synuclein pathology
• +۴ مورد دیگر

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 Klerkمشاهده پروفایل

دانشیار

• Entrepreneurial Ecosystems
• Networking
• Innovation
• +۵ مورد دیگر

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
• +۵ مورد دیگر

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 Karsaiمشاهده پروفایل

دانشیار

• Network Science
• Computational Social Science
• Data Science
• +۵ مورد دیگر

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.