جست‌وجوی استاد و پژوهشگر

• Childhood theory
• Child Well-being
• Generational and educational order
• +۵ مورد دیگر

Lisa Fischer is a Postdoctoral Researcher at the Department of General and Historical Education within the Faculty of Humanities and Educational Sciences at the Technical University of Berlin. She has been working since 2022 on the BMBF joint project "The Well-being of Children in Socio-Spatial Contexts" (WIKK*I), specifically leading the Ethnography Berlin subproject. Fischer is also a founding member and co-director of the Qualitative Childhood Studies – Early Career Researcher Network since 2019 and serves on the Commission for Anti-Discrimination and Equality at TU Berlin's Faculty I. Her educational background includes dual diplomas in Sociology and Education from Goethe University Frankfurt am Main (2016 and 2015 respectively), following studies in pedagogy, sociology, social psychology and psychoanalysis. Prior to her academic career, she worked as a pedagogical specialist at Rebstock primary school in Frankfurt am Main (2014-2016) and gained research experience through various student assistant positions. Fischer's research centers on childhood theory and digitalization, examining how children navigate relationships and spatial environments in contemporary society. Her doctoral project, ongoing since 2016, investigates "Discursive Relationship Practices of Young People in Digitalized Everyday Worlds," analyzing the tension between relationships as constitutive of modern childhood and cultural debates about children's 'relationship skills' in the context of digital technology use. Her methodological expertise lies in qualitative-empirical approaches, particularly post-structuralist discourse-analytical ethnography. Her recent publications and presentations demonstrate a consistent focus on child well-being, spatial contexts, digital practices, and ethical considerations in childhood research. The trajectory of her work shows increasing attention to intersectional perspectives on children's experiences in learning environments, with particular emphasis on out-of-school settings and the principle of openness. Childhood Research Award from the Martha Muchow Foundation (2018) The International Society for Child Indicators (ISCI) Award in honor of Christine Hunner-Kreisel (2024) Fischer actively supervises early career researchers through her leadership in the Qualitative Childhood Studies network and has presented her work at major international conferences including the DGfE Congress, ISCI conferences, and the ISA World Congress of Sociology. Her research often involves collaborative work with colleagues including Susann Fegter, Stella März, and Karen Geipel, reflecting her commitment to interdisciplinary and international scholarly collaboration.

Richard Kempterمشاهده پروفایل

استاد

• Computational Neuroscience
• Memory Systems
• Hippocampal Circuitry
• +۵ مورد دیگر

Richard Kempter is a Professor at Charité - Universitätsmedizin Berlin's Institute of Neuroscience, where he leads research in computational neuroscience with a focus on hippocampal circuitry and memory systems. His work bridges experimental neuroscience with theoretical modeling, examining how neural networks support spatial navigation, memory formation, and consolidation processes. His research interests center on the computational principles underlying hippocampal function, particularly in memory consolidation, spatial navigation, and neural coding. Kempter investigates how hippocampal circuits generate sharp wave-ripple events, how grid cells form spatial representations, and how memory traces transform during systems consolidation. His work combines computational modeling with experimental data analysis to develop testable theories about neural mechanisms. Analyzing Kempter's recent publications reveals a strong focus on hippocampal CA3 circuitry, with particular attention to sharp wave-ripple complexes and their role in memory consolidation. His work demonstrates how specific connectivity patterns between pyramidal neuron subtypes enable memory replay, while his computational models explain how grid-like representations emerge in entorhinal cortex. The research spans multiple scales from single-cell properties to network dynamics, with applications to both rodent and human memory systems. Kempter's scientific contributions have appeared in top-tier journals including Nature , Neuron , and PNAS , reflecting the significance of his work in understanding fundamental neural mechanisms. His publications demonstrate consistent innovation in developing computational frameworks that explain experimental observations while generating new testable predictions about memory systems. His research team collaborates extensively across institutions, working with experimental neuroscientists to bridge theoretical models with empirical data. Current projects examine how neural synchrony creates functional filters during rest states, how population sparseness affects memory capacity, and how subtype-specific connectivity enables sequential activation during memory replay events.

Michael Brechtمشاهده پروفایل

استاد

• Neuroscience
• Somatosensory Cortex
• Memory Consolidation
• +۶ مورد دیگر

Michael Brecht is a Professor at Humboldt University of Berlin, Faculty of Life Sciences, Department of Biology. His research focuses on neural mechanisms underlying somatosensory processing, memory consolidation, kinship behavior, and social play. He leads a research group investigating brain circuits related to these functions, with particular emphasis on the lateral septum, periaqueductal gray, and somatosensory cortex. Professor Brecht's research interests include: Neural circuits for somatosensory processing and body map representation Mechanisms of memory consolidation from synapses to systems Neural basis of kinship behavior and social recognition Neurobiology of social play and vocal communication Spatial coding and navigation systems in the brain His recent publications reveal a consistent focus on understanding how specific brain regions encode social and sensory information. Brecht's work frequently employs advanced techniques including electrophysiology, calcium imaging, optogenetics, and large-scale neural recording to investigate circuit mechanisms. A notable trend in his research is the investigation of sex differences in neural processing, particularly in genital somatosensory representation, and the identification of specialized neural architectures for social behaviors like kinship recognition. Scientific contributions include: Discovery of nepotopy (topographical representation of kin/nonkin) in the lateral septum Demonstration of sex differences in genital cortex representation Identification of glycine-dependent mechanisms in social play behavior Mapping of vocalization-related activity in brainstem nuclei Elucidation of perirhinal input mechanisms for neocortical learning Professor Brecht actively mentors students and collaborates with researchers across multiple institutions. His laboratory investigates both fundamental neural mechanisms and their implications for understanding social behavior. Current work appears focused on understanding the molecular and circuit-level basis of kinship memory and the neural substrates of social play behavior across development.

Hamed Alaviمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Smart Environments
• Urban Computing
• +۵ مورد دیگر

Hamed Alavi is a tenured Assistant Professor at the University of Amsterdam and founding member of the Digital Interaction Lab. His work bridges computer science, architecture, and urban design to develop inclusive intelligent spaces that reflect human values across architectural and urban dimensions. His educational background includes a PhD in Computer Science from the Swiss Federal Institute of Technology (EPFL) and post-doctoral research at University College London (UCL). Prior to academia, he led an educational technology start-up for eight years with global impact. Alavi's research focuses on Human-Building Interaction (HBI), exploring how intelligent environments can co-create inclusive spaces through biophilic design, physiological sensing, and human-centered methodologies. His work emphasizes socio-technical integration in smart buildings and cities, addressing neurodiversity, environmental comfort, and ethical data practices. His recent publications reveal strong trends in multisensory interaction design, urban computing, and inclusive technology development. Key themes include physiological-environmental sensing integration, AI ethics in urban contexts, and human experience frameworks for smart buildings, with growing emphasis on neurodiverse populations and biophilic elements. Scientific recognition includes: Inclusive City-Making Grant (PI, €3.8M, NWO) Best Paper Award at CHI 2025 As Principal Investigator for the NWO-funded Inclusive City-Making project, Alavi leads large-scale interdisciplinary research translating academic insights into urban solutions. His entrepreneurial background informs practical technology deployment strategies and industry-academia collaboration models. The Digital Interaction Lab, which he co-founded, serves as a research hub for intelligent environment design, bringing together computer scientists, architects, and urban planners to prototype responsive built environments through living lab methodologies and wild deployment studies.

• Fluid Dynamics
• Atmospheric Physics
• Turbulence
• +۵ مورد دیگر

Gholamhossein Bagheri is a Scientist and Group Leader at the Max Planck Institute for Dynamics and Self-Organization in Göttingen, Germany, where he heads the Turbulence and Particles in Fluids research group within the Laboratory for Fluid Physics, Pattern Formation and Biocomplexity (LFPB). His research focuses on the complex physics of particle-laden turbulent flows across environmental, atmospheric, and biological systems. Dr. Bagheri's research spans multiple interconnected domains of fluid physics with significant real-world applications. His primary areas of investigation include: Cloud physics and aerosol-cloud interactions, particularly their role as major sources of uncertainty in weather models and climate projections Atmospheric transport of non-spherical particles such as volcanic ash, microplastics, pollen, and snowflakes Indoor air quality dynamics and the spatio-temporal evolution of respiratory aerosols relevant to infectious disease transmission Development of advanced measurement techniques for studying particle-laden flows in both laboratory and field conditions Analysis of Dr. Bagheri's publication record reveals a trajectory from fundamental fluid dynamics toward increasingly applied research addressing critical environmental and public health challenges. His work on respiratory particle transmission during the COVID-19 pandemic provided key evidence for mask efficacy that influenced policymakers and the public. His research consistently tackles significant uncertainties in atmospheric science while developing innovative instrumentation to bridge laboratory and field measurements. Dr. Bagheri leads an active research team that has developed several groundbreaking measurement platforms including the Max Planck CloudKite (MPCK), the HoloTrack instrument for cloud droplet measurements, and the WinDarts system for atmospheric turbulence measurements. His group has conducted major field campaigns such as the Pallas Cloud Experiment (PaCE) in September 2022 and IMPACT (In-situ Measurement of Particles, Atmosphere, Cloud, and Turbulence) from May to June 2024, where up to six second-generation WinDarts units were successfully deployed over Pallas, Finland.

Nira Libermanمشاهده پروفایل

استاد

• Psychological Distance
• Construal Level Theory
• Decision Making
• +۷ مورد دیگر

Nira Liberman is a Professor of Social Psychology at Tel Aviv University, where she has been a faculty member since 2001. She completed all her formal education at Tel Aviv University, earning her Bachelor's degree in Psychology and Comparative Literature, Master's degree in Social Psychology, and PhD in 1997. She also completed postdoctoral work at Columbia University and taught at Indiana University, Bloomington before returning to Tel Aviv University. Professor Liberman's research focuses on psychological distance and its effects on decision making, evaluation, motivation, and mental representation. She is particularly known for her work on Construal Level Theory (CLT), which examines how psychological distance influences cognitive processing. Her research also extends to Obsessive-Compulsive Disorder (OCD), where she developed the Seeking Proxies for Internal States (SPIS) model, as well as to essentialism, disgust, and conservatism. Her Social Psychology Lab investigates how people mentally traverse beyond the immediate 'here and now' to consider future and past time, distant locations, other people, and hypothetical (counterfactual) events. The lab examines what enables such expansion of mental scope and the consequences of this expansion, including how psychological distancing affects cognitive performance, working memory, and decision making. Professor Liberman's publication record shows consistent productivity across multiple domains of psychology. Her recent work continues to explore the intersection of Construal Level Theory with OCD mechanisms, moral judgment, and cognitive performance. Her research demonstrates strong theoretical integration across social, cognitive, and clinical psychology domains, with particular attention to the embodied and neural correlates of abstract thinking. Professor Liberman has established productive collaborations with researchers worldwide, most notably with Yaacov Trope with whom she has co-authored numerous foundational papers on Construal Level Theory. Her work has been published in top-tier psychology journals including Journal of Personality and Social Psychology, Psychological Review, and Journal of Experimental Psychology. Her lab continues to investigate fundamental questions about how people navigate between proximal and distal concerns, how abstraction enables traversing psychological distance, and how these processes relate to clinical phenomena like OCD. Professor Liberman's research program represents a sophisticated integration of basic cognitive processes with real-world applications in clinical and social domains.

Julia Mikolaiمشاهده پروفایل

مدرس

• Demography
• Quantitative Population Geography
• Children's Life Courses
• +۵ مورد دیگر

Dr Julia Mikolai is a Lecturer in Demography/Quantitative Population Geography in the Population and Health Research Group at the School of Geography and Sustainable Development at the University of St Andrews. Her research focuses on demographic patterns and life course transitions, with particular expertise in children's life courses, family dynamics, residential mobility, and cross-national comparisons. Dr Mikolai's research interests span multiple dimensions of demographic behavior and life course analysis. Her work examines how individuals navigate key life transitions including partnership formation and dissolution, fertility decisions, residential moves, and housing choices. She employs sophisticated longitudinal data analysis techniques to track these trajectories over time and across different national contexts. Her research particularly emphasizes the intersection of demographic processes with spatial mobility and housing circumstances, revealing how these factors shape life outcomes. A significant portion of her work focuses on immigrant populations and their demographic adaptation in host countries. Analysis of Dr Mikolai's publication record shows consistent focus on life course transitions, particularly around partnership, fertility, and residential mobility. Her work frequently employs comparative approaches across European countries and utilizes advanced methodological techniques including sequence analysis and multistate event history models. A notable trend in her recent work is the expansion into pandemic-related demographic impacts, as evidenced by her research on mortality patterns during COVID-19, demonstrating her ability to address emerging population health challenges. ERC Starting Grant for the ChildLives project (funded by UKRI under the Horizon Europe Guarantee scheme) As Principal Investigator of the ChildLives project, Dr Mikolai leads a significant research initiative examining children's life courses through an ERC-funded grant. Her collaborative approach is evident in her extensive co-authorship network, particularly with researchers like Hill Kulu, with whom she has published multiple studies on partnership and fertility trajectories. While specific grant details beyond the ERC Starting Grant aren't provided in the available information, her publication record suggests involvement in multiple international research collaborations examining demographic patterns across national contexts. Dr Mikolai is affiliated with the Population and Health Research Group at the University of St Andrews, which appears to be her primary research environment. This group provides the collaborative framework for her demographic research, particularly in the areas of population geography and life course analysis, with connections to broader European demographic research networks.

Fabian Schönfeldمشاهده پروفایل

پژوهشگر ارشد

• Theoretical neuroscience
• Computational neuroscience
• Machine learning
• +۵ مورد دیگر

Dr. Fabian Schönfeld is a postdoctoral researcher at the Institute of Neural Computation (INI), which is part of the Faculty of Computer Science at Ruhr-Universität Bochum. He works in the Theory of Neural Systems group, focusing on computational modeling of the hippocampus using Slow Feature Analysis and other machine learning techniques. His educational background includes: Diploma in Computer Science from FAU Erlangen (2004-2009) PhD in Neuroscience from the International Graduate School of Neuroscience (2010-2016) Dr. Schönfeld's research primarily focuses on theoretical neuroscience, particularly on modeling the hippocampus and spatial cognition. His work combines computational approaches with neuroscience to understand how the brain processes spatial information. He has extensively used Slow Feature Analysis to model place cell behavior in the rat hippocampus, arguing for its feasibility as a fundamental principle of cognitive data processing. His research interests also extend to deep learning, artificial intelligence, and the intersection of these fields with neuroscience. His publications demonstrate a consistent focus on hippocampal function and spatial representation, with an increasing sophistication in modeling approaches over time. The research shows how computational models can help understand neural mechanisms of spatial representation, navigation, and memory formation, with applications in both neuroscience and artificial intelligence. Dr. Schönfeld has supervised several bachelor's theses on topics related to robot navigation using Slow Feature Analysis and has taught courses on Scientific Computing with Python. His academic service includes: Supervising bachelor's theses (2012-2013) Teaching Scientific Computing with Python (2015-2017) Tutoring high school students in mathematics and physics (2007-2010)

Sandhiya Vijayabaskaranمشاهده پروفایل

پژوهشگر

• Computational Neuroscience
• Reinforcement Learning
• Spatial Navigation
• +۳ مورد دیگر

Dr. Sandhiya Vijayabaskaran is a researcher at the Institute of Neuroinformatics (INI), Faculty of Computer Science, Ruhr University Bochum, Germany. Her work employs computational methods to understand spatial navigation and neural representations. Education M.Sc. in Computational Engineering, Ruhr-Universität Bochum (Thesis: "Transfer of learned associations in a reinforcement learning context") B.E. in Mechanical Engineering, M.S Ramaiah Institute of Technology, India Research Interests Her primary research focuses on computational neuroscience and reinforcement learning. She investigates how artificial agents develop spatial representations during navigation tasks, emphasizing relationships between artificial neural networks and biological systems (e.g., hippocampal place cells). This bridges AI and neuroscience to model cognitive processes underlying spatial behavior. Publication Trends Her 2019-2025 publications consistently explore spatial navigation via reinforcement learning. Key contributions include mammalian navigation taxonomies, neuroscience simulation frameworks (CoBeL-RL), and egocentric/allocentric representation emergence. These studies advance computational principles of spatial cognition with direct relevance to hippocampal function. Advising and Affiliation Dr. Vijayabaskaran has supervised Master's theses, including Al-Dilaimi's 2021 work on egocentric navigation representations. She is integral to the INI research group, which integrates experimental psychology, neurophysiology, and machine learning to study cognition and develop artificial cognitive systems.

• Computational Neuroscience
• Spatial Navigation
• Neural Modeling
• +۳ مورد دیگر

Dr. Behnam Ghazinouri is a Computational Neuroscientist at the Institute of Neuroinformatics (INI), Faculty of Computer Science, Ruhr University Bochum. His research centers on modeling spatial navigation and memory mechanisms using spiking neural networks, with emphasis on hippocampal place cells and grid cells in both healthy and pathological conditions. Originally trained in physics, he transitioned to computational neuroscience for his doctoral work. His interdisciplinary background bridges theoretical physics, neuroscience, and machine learning to develop biologically plausible neural models. His primary research focuses on computational modeling of spatial navigation systems, neural mechanisms of spatial memory formation, spiking neural network simulations of hippocampal function, and pathological impacts of neurological disorders (Alzheimer's, Parkinson's) on spatial cognition. He investigates how place/grid cell degradation affects navigation behavior and develops models to simulate disease progression. Recent publications (2024-2025) demonstrate consistent focus on spatial coding efficiency, mammalian navigation taxonomy, and grid cell functionality through computational modeling. These works integrate closed-loop simulations with neurobiological principles to analyze neural coding efficiency and behavioral outcomes in spatial tasks. Dr. Ghazinouri has supervised Master's theses including grid cell property research in spatial navigation. His work operates within the INI's interdisciplinary framework that combines neurophysiology, machine learning, and robotics to advance cognitive systems research.

Sven Bertelمشاهده پروفایل

استاد

• Human-Computer Interaction
• Usability Engineering
• Spatial Cognition
• +۵ مورد دیگر

Sven Bertel is a Professor at Flensburg University of Applied Sciences in the Faculty of Information and Communication, where he leads the CIVU – Center for Interaction, Visualization and Usability. His research focuses on Human-Computer Interaction, particularly in usability engineering, spatial cognition, and educational technology applications. Professor Bertel's research interests span several interconnected domains. His primary focus is on spatial cognition and mental rotation, where he investigates how people solve spatial problems and how these abilities can be trained through technology. A significant portion of his work applies these principles to medical ultrasound training through the development of SonoGame, a serious game designed to improve visuospatial skills for medical professionals. He also explores digital competencies development, particularly how user-centered software development can be integrated into educational contexts to prepare students for a digital world. His publication trends reveal a consistent focus on spatial abilities and educational technology since 2017, with recent work (2021-2024) increasingly emphasizing medical applications of spatial cognition research. His collaborations span multiple disciplines, particularly with medical researchers in ultrasound imaging and educators working on digital transformation in teaching. Professor Bertel is actively involved in several research projects related to digital competencies and medical training technologies. His leadership of the CIVU center indicates his role in coordinating interdisciplinary research efforts focused on interaction design, visualization techniques, and usability engineering. His teaching responsibilities include courses in the Applied Informatics program, with a specific focus on usability engineering. Through his work, he bridges theoretical research in spatial cognition with practical applications in medical training and educational technology.