جست‌وجوی استاد و پژوهشگر

• U.S. Foreign Policy
• Taiwan Security
• International Relations
• +۶ مورد دیگر

Lee James is a Research Fellow at the Institute of European and American Studies, Academia Sinica, Taiwan. He is also a Senior Non-Resident Associate Fellow at the NATO Defense College and affiliated with the University of California Institute on Global Conflict and Cooperation. His work centers on U.S. foreign policy and Taiwan’s security in the Indo-Pacific region. His research interests include: U.S. Foreign Policy Taiwan Security International Relations Strategic Studies East Asian Politics Global Conflict and Cooperation Lee James’s recent publications span top journals such as International Studies Quarterly , Journal of Strategic Studies , and Journal of East Asian Studies , reflecting a strong focus on security dynamics, alliance politics, and political economy in the Asia-Pacific. His work increasingly engages with transatlantic coordination on China and technology-related security challenges. His scientific affiliations and visiting scholar status highlight his international recognition: Senior Non-Resident Associate Fellow, NATO Defense College Affiliated Researcher, University of California Institute on Global Conflict and Cooperation Visiting Scholar at a European Research Center on Contemporary Taiwan While no formal advising or grant information is available, his extensive publication record and institutional affiliations suggest active involvement in collaborative research projects and policy-relevant scholarship. He contributes to shaping discourse on democratic resilience and security in the face of authoritarian challenges.

• Computational Neuroscience
• Bayesian Inference
• Perception
• +۱۲ مورد دیگر

Ulrik Beierholm is an Associate Professor in the Department of Psychology at Durham University, with affiliations in the Biophysical Sciences Institute and the Durham Research Methods Centre. He previously held positions at the University of Birmingham’s Centre for Computational Neuroscience and Cognitive Robotics. His research lies at the intersection of psychology, neuroscience, and machine learning. His research focuses on how the human brain processes uncertainty in perception, decision-making, and learning. He employs Bayesian inference and reinforcement learning models to understand human behavior, validated through psychophysics , fMRI , and pharmacological methods. Key areas include multisensory integration , causal inference , perceptual clustering , and behavioral vigor . His work often explores developmental and aging effects on perception. His recent publications reveal a strong trend in modeling multisensory perception under uncertainty, with increasing focus on open-source tools (e.g., BCI Toolbox) and educational outreach (e.g., Neuromatch Academy). Themes include reliability-weighted cue integration, dopamine’s role in motivation, and developmental changes in perceptual strategies. Facebook Faculty Award - Virtual Reality (2016) Leverhulme Trust Grant (£250k) for 'Learning to perceive and act under uncertainty' (2017) Tubingen-Durham Joint Seedcorn Fund for 'The effects of mood on effort allocation during uncertainty' (2019) Dr. Beierholm has supervised PhD students and research assistants such as Nathanael Larigaldie, Denise Foresteire, and Laura Bird. He has secured competitive grants from the Leverhulme Trust and joint university funds, supporting projects on uncertainty, effort allocation, and multisensory perception. His collaborative network spans institutions in the UK, Germany, and the US. He co-organizes research workshops including the Probabilistic Brain Workshop and Computational Models of Social Interaction , and is involved in the Biophysical Sciences Institute Executive Board . His lab conducts behavioral experiments on multisensory integration, equipped with a soundproof room, projector, and 17-speaker array.

Jessica Rehseمشاهده پروفایل

پژوهشگر

• Educational Technology
• Inclusive Education
• Technical Education
• +۷ مورد دیگر

Jessica Rehse (M.Ed.) is a researcher and educator at the University of Potsdam, affiliated with the Faculty of Economics, Work, and Technology. She contributes to the Professorship for Technology and Technical Education, with strong engagement in the Didactics of Economic-Technical Education in inclusive contexts. Her work is centered on innovative educational technologies, including 3D printing, digital games, and virtual reality applications in teaching and learning. Her research interests focus on educational technology , inclusive technical education , and digital innovation in vocational pedagogy . She explores how immersive tools like VR and 3D modeling can enhance student engagement and accessibility in economic and technical subjects. Her work emphasizes hands-on, experiential learning and the integration of maker culture into school curricula. The recent publications of Jessica Rehse reflect a strong trend toward immersive and interactive learning environments . Her work spans virtual heritage tours, ecological simulations, and game-based moral education, demonstrating a multidisciplinary approach that bridges technology, pedagogy, and social inclusion. She frequently collaborates on interdisciplinary projects involving media studies, cultural education, and environmental awareness. She is actively involved in several research and development initiatives, including EDU-VActoRy, InnoWATerSpace, LLiT, and Tekajj—all aimed at shaping the future of inclusive, technology-driven education. These projects support the development of maker spaces, inclusive labs, and digital tools for diverse learners.

• Neuroscience
• Developmental Neuroscience
• Brain Circuit Development
• +۷ مورد دیگر

Prof. Dr. Ileana L. Hanganu-Opatz is a distinguished Professor at the Center for Molecular Neurobiology Hamburg (ZMNH), part of the University Medical Center Hamburg-Eppendorf's Faculty of Medicine. Her research focuses on the developmental mechanisms underlying brain circuit formation, particularly examining prefrontal-hippocampal networks and their role in cognitive maturation and neuropsychiatric disorders. Her primary research interests include Developmental Neuroscience , Brain Circuit Development , Neuropsychiatric Disorders , and Network Dynamics . Dr. Hanganu-Opatz employs sophisticated techniques including in vivo electrophysiology, optogenetics, and behavioral analysis to investigate how early neural activity patterns shape the development of cognitive functions. Her work has been particularly influential in understanding the developmental origins of network dysfunction in conditions like schizophrenia. Analysis of her publication record reveals a consistent focus on the ontogeny of brain networks, with particular emphasis on prefrontal-hippocampal communication, oscillatory activity patterns during development, and the cellular mechanisms underlying cognitive maturation. Her research bridges basic neuroscience with clinical relevance, aiming to identify early markers of network dysfunction that could inform preventative interventions for neuropsychiatric conditions. Scientific Recognition Recipient of the prestigious DFG Emmy Noether Grant, which supports outstanding early-career researchers in establishing their own independent research groups Dr. Hanganu-Opatz has led multiple significant research projects including the SFB 936/B5 series (across three funding periods from 2011-2023) and the PSYCHOCELL project (2016-2023), which investigated the cellular substrate of abnormal network maturation in neuropsychiatric disorders. Her work has been supported by substantial funding from the German Research Foundation (DFG). Her research is conducted within the Hamburg Center of Neuroscience framework, collaborating with researchers across multiple disciplines including immunology, cardiovascular research, and the Neuro-Immune-Network Hamburg, reflecting the increasingly interdisciplinary nature of modern neuroscience research.

Joachim Horneggerمشاهده پروفایل

استاد

• Pattern Recognition
• Medical Image Processing
• Computer Vision
• +۵ مورد دیگر

Prof. Dr.-Ing. Joachim Hornegger is the President of Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) and holds the Chair of Pattern Recognition at the Faculty of Engineering. He is also a member of the FAU Medical Faculty, reflecting his interdisciplinary contributions to medical imaging and computer science. Education: Studied Computer Science with a minor in Mathematics at Friedrich-Alexander-Universität Erlangen-Nürnberg Ph.D. in 1996 on statistical object modeling and recognition Advanced Management Program, Duke University His research focuses on pattern recognition , medical image processing , and computer vision , bridging engineering and medical applications. His work has strong industrial ties, particularly through his leadership roles at Siemens Medical Solutions. Though no recent publications are listed, his career demonstrates sustained impact in imaging system development and academic leadership. Academic Leadership: Vice Dean for Computer Science (2009–2011) Vice President for Research and Early Career Researchers (2011–2015) President of FAU (since April 1, 2015) He has been offered multiple high-level academic positions, including a C4 professorship at RWTH Aachen and a lecturer role at Harvard, which he declined in favor of continuing his work at FAU. His career uniquely combines deep technical expertise with strategic university leadership. Grants and Advising: While specific grants and advisees are not listed, his role as Chair of Pattern Recognition and leadership in research at FAU suggests extensive involvement in funding acquisition and student mentorship. His industrial experience further enriches his academic supervision and collaborative research initiatives. Labs and Teams: As Chair of Pattern Recognition, he leads a research group focused on image analysis and machine learning applications in medicine. His leadership extends to university-wide initiatives in research and innovation, shaping FAU’s strategic direction in science and technology.

• Fluid Dynamics
• Particle Physics
• Environmental Engineering
• +۳ مورد دیگر

Dr. Gregory Lecrivain is a Research Fellow at the Helmholtz-Zentrum Dresden-Rossendorf (HZDR), leading an independent research group on particle fluid dynamics. With expertise from institutions in France, the UK, Germany, and Japan, he specializes in multiphase flows and particle dynamics. Education : PhD-level qualification implied by research leadership role. International Experience : Marie Sklodowska Curie Individual Global Fellowship at Kyoto University (Japan). His research focuses on particle-fluid interactions in diverse systems, including: Aerosol resuspension in urban environments Granular mixing analyzed via ultrafast X-ray tomography Elasto-capillary deformation of flexible fibers Particle separation at gas-liquid interfaces Colloidal dynamics and pollutant propagation Scientific contributions span theoretical modeling, computational simulations (DNS, Eulerian/Lagrangian methods), and experimental validation using X-ray imaging. Recent publications (2013-2023) highlight applications in environmental engineering, material science, and fluid dynamics. Awards include the prestigious EU-funded Marie Curie Fellowship.

• High Harmonic Generation
• Femtosecond Laser Technology
• Adaptive Optics
• +۳ مورد دیگر

Dr. Kevin O'Keeffe is a Senior Lecturer in Physics at the College of Science, Swansea University. He received his doctorate from the Technical University of Vienna, Austria, and conducted postdoctoral research at the University of Oxford. His career includes a position as Stipendiary Lecturer at St. Hilda’s College, Oxford, before joining Swansea University in 2014. His research focuses on high-resolution spatial and temporal imaging using compact coherent x-ray sources derived from high harmonic generation (HHG). Key areas include femtosecond laser technology, adaptive optics, and x-ray microscopy. His work addresses quantum path characterization and spatial control of laser-driven harmonic sources for applications in ultrafast dynamics observation and nanostructure imaging. Recent publications highlight advancements in HHG brightness optimization, spatial beam shaping for XUV holography, and interferometric techniques to resolve quantum pathways. His projects have been funded by grants such as "Adaptive spatial control of soft x-rays for coherent microscopy applications" (2016–2018, £88,850). While no explicit awards are listed, his teaching contributions include modules like Modern Laser Systems and Advanced Research in Physics .

Erica Cosentinoمشاهده پروفایل

پژوهشگر ارشد

• Philosophy of Language
• Philosophy of Mind
• Philosophy of Psychology
• +۸ مورد دیگر

Erica Cosentino is a Research Fellow at the Department of Philosophy, Ruhr University of Bochum. Her work bridges the Philosophy of Language, Philosophy of Mind, and Cognitive Science, focusing on episodic memory, mental time travel, and the neuro-psychological basis of language processing. Her research explores how sensory-motor information shapes semantic processing, the evolution of language, memory’s role in self-identity, and consciousness in communication. Recent publications highlight interdisciplinary approaches to affordances, Bayesian pragmatics, and pain-related lexical cognition. Scientific projects include The Interaction of Bayesian Pragmatics and Lexical Semantics in Linguistic Interpretation under the DFG’s XPrag framework. Collaborations span comparative psychology (humans, chimpanzees, chicks) and experimental pragmatics.

• Biogeochemistry
• Biodiversity
• Artificial Intelligence in Biodiversity Research
• +۳ مورد دیگر

Lara Kösters is a Doctoral Researcher at the Max Planck Institute for Biogeochemistry in Jena, Germany, affiliated with the Biogeochemical Integration department and the Biod.AI.versity Observation & Integration research group. Her work bridges computational methods with biodiversity and biogeochemical research. Ph.D. student (2021–present), Max Planck Institute for Biogeochemistry, Jena, Germany Research assistant (2020–2021), Humboldt-Universität zu Berlin M.Sc. in Life Science (2018–2020), University of Münster B.Sc. in Life Science (2015–2018), University of Münster Her research focuses on Artificial Intelligence in biodiversity studies , biogeochemical integration , and computational biology . She develops AI-driven tools for plant identification and ecological data management, as evidenced by her publications on deep learning for morphometrics, DNA barcoding frameworks, and parasitic plant research. Lara’s recent work involves geometric morphometrics , taxonomic affinity modeling , and DNA barcoding , reflecting a trend toward data science and environmental informatics in her publications.

Maria Gültzowمشاهده پروفایل

پژوهشگر

• Mental Health
• Depression
• Population Health
• +۴ مورد دیگر

Maria Gültzow is an Affiliate Researcher at the Max Planck Institute for Demographic Research (MPIDR) in Rostock, Germany, affiliated with the Laboratory of Population Health within the Population Health Research Group. Her work bridges demography, epidemiology, and mental health research, focusing on how social, economic, and biological factors shape population mental health outcomes across the life course. Her research centers on mental health disparities, with particular emphasis on depression epidemiology, socioeconomic inequalities, and the interplay between genetic susceptibility and social environments. Key themes include labor market dynamics and gender gaps in depression among aging populations, childhood obesity's role in adolescent mental health disparities, and how partnership transitions interact with genetic factors to influence mental health trajectories. Her methodological approach combines large-scale demographic datasets with advanced epidemiological modeling to uncover mechanisms driving mental health inequalities. Analysis of her 2021-2024 publications reveals a cohesive research program examining mental health through intersecting lenses of demography and social epidemiology. She consistently investigates how structural factors (like labor market conditions and socioeconomic status) interact with individual-level factors (genetic predisposition, health behaviors) to produce mental health disparities across birth cohorts and demographic subgroups. Her work demonstrates growing focus on life-course perspectives, particularly how early-life and mid-life experiences manifest in later-life mental health outcomes. Maria Gültzow is embedded within MPIDR's Population Health Research Group, specifically contributing to the Labor Demography unit. This collaborative environment focuses on demographic aspects of population health, leveraging interdisciplinary approaches to address complex questions about health inequalities and social determinants of health. Her research directly supports the institute's mission to advance demographic science through innovative analyses of population dynamics.

• Adolescence
• Socioeconomic differences
• Social Learning
• +۲ مورد دیگر

Simon Ciranka serves as a Research Scientist at the Adaptive Rationality center of the Max Planck Institute for Human Development in Berlin since 2024, following a Salto Fellowship at Institut Nicod, École Normale Supérieure Paris (2023-2024) and postdoctoral research at the same Adaptive Rationality center (2021-2023). His educational trajectory includes a Dr. rer. nat. from Free University Berlin (2021) and doctoral training at the Max Planck UCL Centre for Computational Psychiatry and Ageing Research (2017-2020): PhD: Max Planck UCL Centre for Computational Psychiatry and Ageing Research (2017-2020) Doctorate: Free University Berlin (2021) Dr. Ciranka's research integrates computational modeling with developmental neuroscience to investigate adolescent decision-making under uncertainty. His work examines how socioeconomic status , social learning , and neuronal mechanisms shape risk perception and adaptive behavior. Key contributions include: Quantifying socioeconomic effects on reward valuation Modeling social influence as a double-edged sword in adolescence Linking reinforcement learning asymmetries to transitive reasoning Analyzing environmental statistics in developmental risk-taking His 11 publications (2019-2025) reveal a cohesive research program advancing computational frameworks for adolescent decision science. The work demonstrates increasing methodological sophistication in modeling social-ecological influences on neural decision mechanisms, with recent emphasis on socioeconomic determinants and uncertainty processing. Dr. Ciranka's research has been supported through competitive appointments including the Salto Fellowship and Max Planck Society positions. His collaborative work spans the Max Planck Institute for Human Development and international partners like University College London. As a core member of the Adaptive Rationality Research Team, he contributes to the center's mission of investigating psychological and neural foundations of adaptive decision-making across the lifespan through computational, behavioral, and neuroimaging approaches.

• Adaptive Rationality
• Decision Making
• Cognitive Psychology
• +۳ مورد دیگر

Ana Sofia Morais is a researcher and science communicator at the Max Planck Institute for Human Development in Berlin, Germany, specializing in adaptive rationality and cognitive decision-making processes. She is actively affiliated with the Adaptive Rationality research team and maintains ongoing contributions to psychological methodology and semantic memory research through publications and science communication. Her academic background includes: PhD in Psychology from Humboldt University, Berlin (2010) Licenciatura in Psychology from University of Lisbon (2004) Morais' research program centers on the intersection of adaptive rationality and real-world decision-making, with particular emphasis on experimental methodology biases, semantic memory architecture, and career decision analysis in academia. Her work bridges theoretical cognitive psychology with practical applications in scientific practice and higher education, examining how cognitive tools shape research outcomes and professional development pathways. Her publication trajectory reveals consistent focus on methodological rigor in psychological science, evolving from foundational semantic memory mapping (2013) to contemporary critiques of experimental neutrality (2022). The research demonstrates interdisciplinary integration across cognitive psychology, decision science, and higher education studies, with growing emphasis on the sociological dimensions of scientific practice. She actively participates in the Adaptive Rationality research ecosystem at the Max Planck Institute, contributing to both empirical research and science communication initiatives that translate complex cognitive concepts for broader audiences.

• Judgment and Decision-Making in a Social World
• Adaptive Judgment and Decision-Making
• Risky Decisions
• +۵ مورد دیگر

Thorsten Pachur is a Professor for Behavioral Research Methods at the Technical University of Munich (since 2022) and a Senior Research Scientist at the Max Planck Institute for Human Development in Berlin. His work focuses on judgment and decision-making, particularly in social contexts, adaptive rationality, and risky choices. He has led projects such as " Simple decision-making strategies " and " Search and Learn " at the Max Planck Institute. Education : Habilitation (2012, University of Basel), PhD in Psychology (2006, Free University of Berlin), Dipl.-Psych. (2002, Free University of Berlin), MSc in Health Psychology (2002, University of Sussex) Research Themes : Pachur investigates how social memory structures influence decision-making, the toolbox of cognitive strategies in risky choices, and the role of attentional processes in decisions. His work bridges prospect theory and heuristic models , examining how attention shapes probability weighting and outcome evaluation. Scientific Contributions : Recent publications include studies on the description-experience gap in intertemporal choices, age differences in risk perception , and attentional biases in sequential sampling . His 2024 work on COVID-19 vaccine refusal highlights deliberate ignorance and cognitive distortions. Scientific Awards : 2017 Fellow of the Association for Psychological Science (APS), 2001 DAAD Scholarship, 2005 Max Planck Postdoctoral Fellowship Grants : Funded by the Swiss National Science Foundation (SNSF), German Research Foundation (DFG), and Biäsch Foundation Editorial Roles : Consulting Editor for Journal of Experimental Psychology: Learning, Memory, and Cognition (2013–2025), Associate Editor for Cognitive Psychology (2025–), and member of boards for journals including Decision and Psychological Review .

Charlotte Dietzeمشاهده پروفایل

پژوهشگر

• Analysis
• Mathematical Physics
• Partial Differential Equations
• +۲ مورد دیگر

Charlotte Dietze is a Researcher at the Mathematical Institute of the Ludwig Maximilian University of Munich (LMU), within the Faculty of Mathematics, Computer Science and Statistics. She is an active member of the Working Group Analysis, Mathematical Physics and Numerics, teaching advanced courses including Mathematical Quantum Mechanics (WS 2024/2025) and Numerics I, and maintaining a dedicated office in Block B, 3rd floor, room 333. Her research centers on the rigorous mathematical foundations of physical systems, with core expertise in Analysis and Mathematical Physics . She investigates Partial Differential Equations governing quantum phenomena, Spectral Theory of operators on singular domains, and Many-body Quantum Mechanics systems. Her work bridges abstract mathematical frameworks with concrete physical applications, particularly in quantum dynamics and spectral asymptotics. Recent publications reveal a concentrated focus on spectral behavior in non-smooth geometries (e.g., Hölder domains and singular manifolds), eigenvalue problems with unconventional boundary conditions, and quantum many-body instabilities. Her 2024-2025 work demonstrates increasing sophistication in handling singular metrics and nonlinear quantum systems, often through novel analytical inequalities and semiclassical methods. No scientific awards are documented in the available information. While specific advising activities and grant funding are not detailed, her role in organizing the 2023 Workshop for Young Researchers indicates engagement with emerging scholars. Her PhD thesis Spectral estimates for singular systems establishes foundational work in her field. As a core member of LMU's Working Group Analysis, Mathematical Physics and Numerics, she contributes to a collaborative environment focused on spectral theory, quantum mechanics modeling, and numerical validation of analytical results, fostering interdisciplinary research at the mathematics-physics interface.

• Computer Vision
• Imaging
• Optimization Algorithms
• +۳ مورد دیگر

Michael Möller is a Professor for Computer Vision at the University of Siegen, Germany. His research focuses on integrating model-based and learning-based techniques in imaging and vision, with an emphasis on efficient optimization algorithms for solving high-dimensional minimization problems. Research Interests: Combining classical model-based methods with deep learning Optimization algorithms for inverse problems Applications in CT reconstruction, image segmentation, and quantum computing Development of energy-dissipating neural networks and non-smooth regularization techniques Scientific Awards: Best Paper Award at ISWC 2021 Best Paper Honorable Mention at GCPR 2020 Best Paper Award at VMV 2015 Collaborations and Grants: Active collaborations with institutions like IEEE, Springer, and universities across Europe. Publications in top-tier venues such as NeurIPS, CVPR, ICCV, and ICLR. His work spans theoretical frameworks (e.g., convex relaxations, spectral methods) and practical applications (e.g., medical imaging, THz defect detection).