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Julia BrichView profile

Researcher

• Game Design
• Serious Games
• Human-Computer Interaction
• +5 more

Julia Brich is a Researcher at Ulm University, affiliated with Prof. Weber's research group. She holds a B.Sc. from the University of Applied Sciences Ulm (2011) and an M.Sc. from Ulm University (2014), both focused on distributed systems. Her research centers on game design, adaptive systems, and human-computer interaction, particularly in serious games and virtual reality environments. She has contributed to projects like 'Serious Games – Skill Advancement Through Adaptive Systems' and 'EffIS – Efficient and Interactive Studying'. Her work spans end-user programming for smart homes, emotion-driven game adaptivity, and VR-based educational tools. Key contributions include the LiverDefense tower defense game framework for research and the Ubidoo multi-user tracking system. Julia has also explored contextual tutorials in VR and integrated questionnaires for maintaining user presence in games. Awards and grants are not explicitly mentioned, but her research has been published in venues like IEEE VR, CHI Play, and Springer. She has collaborated with institutions like EADS Germany and contributed to interdisciplinary projects blending game design with educational and industrial applications.

Andreas MatzarakisView profile

Associate Professor

• Human Biometeorology
• Urban Climatology
• Tourism Climatology
• +3 more

Prof. Dr. Andreas Matzarakis is an Associate Professor and academic at the University of Freiburg, specifically within the Department of Meteorology. His roles include leading research projects and contributing to climate-related initiatives. He has held positions such as research assistant, research associate, and adjunct professor, with significant contributions to the Center for Medical Meteorological Research. His research focuses on human biometeorology, urban climatology, tourism climatology, and climate impact research, with notable projects like Clim'Ability Design and I4C. He has developed models like RayMan and SkyHelios for applied climatology. Education: Studied meteorology at Ludwig Maximilian University of Munich, earned doctorate from Aristotle University of Thessaloniki, and completed habilitation at Albert Ludwig University of Freiburg. Research Projects: Includes Clim'Ability Design (ERDF INTERREG), I4C (AI Lighthouses, BMU), and work on heat-health warning systems. Editorships: Editor-in-Chief of Biometeorology section in Atmosphere and editorial board member of Finisterra . Research Interests: Thermal indices, urban microclimate adaptation, climate tourism, and health impacts of environmental changes. His work emphasizes interdisciplinary approaches linking biometeorology with urban planning. Publications: Over 150 peer-reviewed articles on topics ranging from thermal comfort in cities to climate change impacts on health, with a focus on model development and real-world applications. Labs/Teams: Involved in the Meteorological Institute at the University of Freiburg and collaborates on projects like urbisphere and PAUL (ICOS Cities). His work integrates sensor networks and AI for environmental monitoring.

• Mathematics Education
• Epistemology of Mathematics
• Visual Semiotics in Mathematics
• +3 more

Heinz Steinbring is a Professor at the University of Duisburg-Essen, where he leads the Steinbring working group within the Research Group EInmaL. His academic career centers on mathematics education with a distinct epistemological perspective, focusing on primary school learning environments and teacher development. Research Focus: Steinbring investigates how visual materials, manipulatives, and mathematical signs function as epistemological tools in knowledge construction. His work emphasizes the interplay between social interaction and cognitive constraints in mathematical learning, particularly examining how students interpret visual representations and how teachers facilitate meaning-making through discourse. Key themes include the role of semiotic systems in transitioning from concrete to abstract thinking and the epistemological foundations of classroom communication. Publication Trends: Analysis of his 15 most recent publications (2011-2020) reveals consistent exploration of visual-semiotic dimensions in mathematics education. His research demonstrates evolving sophistication in analyzing classroom interactions, with increasing emphasis on stochastic concepts, frame-based interpretation models, and epistemological barriers in primary mathematics. The corpus shows strong continuity in theoretical frameworks while expanding empirical applications across diverse mathematical topics. Academic Leadership: As working group leader, Steinbring supervises doctoral fellow Katharina Mros and maintains active research collaboration within the EInmaL group. His email contact (heinz.steinbring@uni-due.de) and office location (WSC-O-2.43) indicate ongoing institutional engagement at the University of Duisburg-Essen.

• Semantic Web
• Linked Data
• RDF/S Provenance
• +4 more

Irini Fundulaki is a prominent researcher in the Semantic Web and Linked Data domains. Her work focuses on data provenance, access control, and benchmarking for RDF systems. She has collaborated extensively with institutions across Europe and contributed to annual Ontology Alignment Evaluation Initiatives. Research Interests: Dr. Fundulaki's research spans Provenance management in RDF/S datasets Usage control policies via reification Ontology alignment and semantic interoperability Benchmarking tools for linked data systems XML access control frameworks Publication Trends show sustained contributions to semantic data management, with recent works on SPARQL provenance (2024), Geo-Spatial link discovery (2023), and precision medicine ecosystems (2020).

• Star Formation
• Planet Formation
• Molecular Clouds
• +4 more

Jonathan Henshaw is a Researcher in the Department of Planet and Star Formation at the Max Planck Institute for Astronomy (MPIA) in Heidelberg, Germany, where he contributes to the Star Formation research group. His work focuses on observational astrophysics, utilizing cutting-edge facilities like ALMA and JWST to investigate star and planet formation processes across diverse galactic environments from the Milky Way's Galactic Center to nearby extragalactic systems. His primary research interests encompass molecular cloud dynamics, star formation efficiency, and interstellar medium physics. Key specializations include the structure and kinematics of the Central Molecular Zone (CMZ), cloud-cloud collisions, shock-induced star formation, and the role of galactic environments in regulating star formation. He actively analyzes data from major international surveys including PHANGS (Physics at High Angular resolution in Nearby GalaxieS) and ALMA CMZ Exploration Survey (ACES), with particular emphasis on high-resolution gas properties and feedback mechanisms. Analysis of his 15 most recent publications (2023-2025) reveals a strong concentration on Galactic Center phenomena, especially 3D structure modeling of the CMZ using multi-wavelength data. His work consistently bridges observational data with theoretical frameworks to understand star formation laws, with recurring themes including molecular gas depletion times, cloud-scale physics, and the impact of supernova remnants on interstellar clouds. The PHANGS collaboration dominates his extragalactic research, examining star formation across 70+ nearby galaxies at unprecedented resolution. As an active member of MPIA's Star Formation group, Dr. Henshaw participates in collaborative projects analyzing ALMA and JWST datasets to unravel the initial conditions of star and planet formation. His research leverages MPIA's expertise in millimeter-wave astronomy and computational modeling to address fundamental questions about how molecular clouds evolve and fragment under various galactic conditions, with implications for understanding galaxy evolution across cosmic time.

• Criminology
• Adolescent Delinquency
• Policing
• +4 more

Prof. Dietrich Oberwittler is a sociologist and criminologist affiliated with the Max Planck Institute and the University of Freiburg. He holds the title of Extra-Curricular Professor of Sociology at the University of Freiburg and leads the independent research group Space, Contexts, and Crime at the Max Planck Institute. His research focuses on urban crime contexts, adolescent delinquency, policing, victimization, and quantitative methodology. Education: Studied social sciences and history at the Universities of Münster, Bonn, and University College London. Earned a PhD from the University of Trier with a thesis on juvenile justice systems in Germany and England (1850–1920). Professional roles include: Senior Researcher at the Max Planck Institute for Criminology since 2006 Privatdozent (Associate Professor equivalent) at Universities of Bielefeld (2006–2008) and Freiburg (from 2008) Marie Curie Fellow at the University of Cambridge (2004–2006) Key research interests involve neighborhood effects on crime, policing strategies in multiethnic societies, and cross-cultural crime analysis. Major projects include studies on: Neighborhood perceptions of disorder and collective efficacy COVID-19 pandemic impacts on crime patterns Comparative policing practices in France and Germany Professional affiliations include membership in the European Society of Criminology, German Sociological Association, and advisory roles for international journals and institutes. He has authored/co-authored over 50 publications, including seminal works on juvenile delinquency, victimization surveys, and urban crime dynamics. Key achievements: Marie Curie Fellowship (2004–2006), elected representative of scientific staff at Max Planck Society (2012–2018), and leadership roles in major collaborative studies (e.g., PADS+, ACCS). Current projects focus on spatial crime analysis, pandemic crime effects, and neighborhood resilience mechanisms. His work bridges criminological theory with empirical quantitative methods, emphasizing contextual and cross-cultural perspectives.

• Machine Learning
• Computer Vision
• Safety-Critical Systems
• +7 more

Ran Wei is a researcher at the University of Science and Technology of China, Department of Chemistry, with extensive contributions across interdisciplinary domains. His work bridges Computer Science , Biomedical Imaging , and Transportation Systems , focusing on active inference models, digital twins, and multimodal learning. Academic Affiliation : University of Science and Technology of China, Department of Chemistry Research Themes : Ran Wei's research explores active inference for adaptive systems, multimodal fusion in computer vision, and domain-specific knowledge graphs for engineering applications. He also investigates federated learning on heterogeneous networks and automated safety analysis for cyber-physical systems. Recent Article Trends : His publications from 2025–2021 span AI-driven engineering (e.g., construction project management), biomedical imaging (lesion detection, radiomics), and transportation systems (driver behavior modeling). Methodologically, he integrates transformers , Bayesian inference , and active learning frameworks. Scientific Collaborations : Ran Wei collaborates with experts in autonomous vehicles (Alfredo García, Anthony D. McDonald), biomedical engineering (Qiaolin Ye, Yifan Cai), and safety-critical systems (Tim Kelly, Simon Foster).

• Bioinformatics
• Artificial Intelligence
• Computer Science
• +3 more

Jie Hao is a researcher at the Information Security Center of Beijing University of Posts and Telecommunications , with a focus on interdisciplinary applications spanning Bioinformatics , Artificial Intelligence , and Medical Informatics . His work bridges computational methods with real-world challenges in healthcare, ecology, and network optimization. Recent publications highlight his contributions to Single-cell RNA sequencing deconvolution (2025) AI-driven intergenerational communication in VR (2025) Digital health applications for COPD management (2025) Deep reinforcement learning for vehicle routing (2025) His methodological innovations include adaptive attention mechanisms for object detection (2025), memory-efficient DNN accelerators (2025), and bilevel optimization algorithms with unbounded smoothness (2024). Collaborations span institutions like University of Melbourne and Chinese Academy of Sciences , reflecting his cross-disciplinary impact.

• Cognitive Neuroscience
• Neurology
• Interoception
• +4 more

Marta Gerosa is a doctoral researcher at the Berlin School of Mind and Brain, affiliated with Humboldt-Universität zu Berlin and the Department of Neurology at the Max Planck Institute for Human Cognitive and Brain Sciences (MPI CBS) in Leipzig, Germany. She is a stipend-holder of the DAAD Research Scholarship and a member of the Mind-Body-Emotion research group. Academic Education: Doctoral candidate (2022–present), Berlin School of Mind and Brain (Humboldt-Universität zu Berlin & Charité – Universitätsmedizin Berlin) 2nd Level Degree in Biomedical Sciences (2019–2022), University School for Advanced Studies IUSS, Pavia, Italy M.Sc. in Psychology, Neuroscience and Human Sciences (2019–2021), University of Pavia & IUSS B.Sc. in Psychological Sciences (2016–2019), University of Pavia, Italy Her research focuses on bodily self-awareness, brain-body interactions, interoception, multisensory integration, sense of agency, decision-making, and post-stroke body representation disorders. She investigates how cardiorespiratory signals influence voluntary action and agency, methodological variability in interoception tasks, and neural mechanisms of emotion regulation and body ownership. Recent publications highlight her work in psychophysiology, methodological innovation, and clinical applications. She has contributed to systematic reviews on fear conditioning and meta-methods analyses of heartbeat counting tasks, alongside studies on neural asymmetry and graphic perseveration. Scientific Awards: DAAD Research Scholarship Marta also served as an academic tutor in Cognitive Neuroscience at the University of Pavia, Italy (2020–2022), teaching Basic Anatomy and Physiology of the Nervous System and Clinical Neuropsychology. She has participated in multiple research projects, including training at the Cognitive and Forensic Neuropsychology Lab, ASST Niguarda Hospital, Milan, and the ICoN Center in Pavia.

• Neurology
• Music Cognition
• Brain Plasticity
• +3 more

Professor Thomas Fritz is a Group Leader in the Department of Neurology at the Max Planck Institute for Human Cognitive and Brain Sciences in Leipzig, Germany. His research focuses on music-evoked brain plasticity, neurocognition of music, and the application of music in rehabilitation and clinical settings. He holds a Visiting Professorship for Empirical Music Research at Ghent University since 2015. Education includes a diploma thesis on emotion and music at the Max Planck Institute for Neuropsychology, a PhD collaboration at the Max Planck Institute for Human Cognitive and Brain Sciences, and an MFA in interface design and new media. His work bridges neuroscience, musicology, and technology, with a focus on music's impact on emotion, motor control, and cognitive performance. Key research interests include the neural mechanisms underlying music perception, the therapeutic potential of music in rehabilitation (e.g., Jymmin® system), and the cross-cultural and evolutionary origins of music. He has conducted studies on music's effects in diverse populations, including patients with chronic pain, elderly individuals, and those with Parkinson’s disease. Publications emphasize innovative applications of music feedback in exercise and rehabilitation, neuroplasticity induced by musical engagement, and the physiological correlates of musical emotion. His interdisciplinary approach integrates neuroscience, engineering, and clinical practice to advance therapeutic interventions and cognitive enhancement techniques.

Christian BlümelhuberView profile

Professor

• Strategic Communication
• Marketing
• Consumer Behavior
• +4 more

Christian Blümelhuber is a Professor for Strategic Organizational Communication at Berlin University of the Arts since 2013. Previously, he held the InBev-Baillet Latour Chair for Euromarketing at the Free University of Brussels (2006–2013). He earned his Dr. oec. publ. from Ludwig-Maximilians-University of Munich in 2000. His research focuses on strategic communication, consumption contexts, game strategies, and series dynamics. Notable innovations include co-developing research methods like 'Vnipping' for market segmentation and co-creating sports like SoccaFive and J-Tennis (now Mickey's Tennis). His work bridges theoretical frameworks with practical applications, emphasizing cross-cultural and cross-industry analyses. Blümehuber has taught globally at institutions including Virginia Tech University (USA), Warwick Business School (UK), and universities in Asia (Seoul, Ho Chi Minh City). He emphasizes experimental methodologies and has published extensively on consumer behavior, market dynamics, and strategic branding. His recent studies explore 'liquid society' consumption patterns and post-heroic publishing trends. Professional activities include consultative work and participation in events like the 08 Wirtschaftsforum. He maintains affiliations with multiple academic networks and regularly contributes to marketing science journals.

Stephan ThoberView profile

Researcher

• Hydrology
• Climate Modeling
• Environmental Informatics
• +3 more

Dr. Stephan Thober is a Group Leader of the HydroScientific Software Development (HSD) group at the Helmholtz Centre for Environmental Research - UFZ in Leipzig. He holds a PhD in Geosciences from Friedrich Schiller University of Jena and a Diploma in Mathematics from the University of Greifswald. His work focuses on advancing computational hydrosystems, particularly through the development and maintenance of the mesoscale Hydrologic Model (mHM). He is also a visiting scientist at the European Centre for Medium-Range Weather Forecasts (ECMWF) and leads the DestinE Climate Adaptation Digital Twin project. His research interests include hydrologic process representation, multiscale parameter regionalization, and climate change impacts on water resources. Thober has led projects such as HOKLIM, investigating high-resolution climate projections for Europe, and contributed to the Ulysses project for global hydrological forecasting. His expertise spans statistical downscaling, land-surface modeling, and drought analysis. He has secured over €4 million in funding for initiatives like calibration of ECLand models and hydrological seasonal prediction services. His work emphasizes interdisciplinary applications, integrating environmental informatics and climate adaptation strategies. Key achievements include developing drought indices for future climates, improving reservoir modeling techniques, and advancing metadata practices for simulation workflows. His team’s contributions to tools like HydroRiver and the mHM model have enhanced global hydrological understanding and climate resilience planning.

• Arctic Ecology
• Benthic Ecology
• Marine Biodiversity
• +3 more

Dr. Jennifer Dannheim is a researcher at the Alfred Wegener Institute (AWI) within the Deep-Sea Ecology and Technology department. Her work focuses on Arctic and North Sea benthic ecosystems, emphasizing anthropogenic impacts, functional ecology, and food web dynamics. She leads research on benthic communities in the context of renewable energy infrastructure and climate change. Key roles include delegation in the ICES Benthos Ecology Working Group (BEWG), membership in the Council of Arctic Flora and Fauna (CAFF), and the Circumpolar Biodiversity Monitoring Program (CBMP). Her research integrates long-term observation data from AWI's HAUSGARTEN observatory and other Arctic sites. She collaborates on projects like PANABIO and BISAR, addressing biodiversity data challenges and environmental impacts of offshore wind farms. Publications span Arctic benthic biodiversity, deep-sea sponge habitats, and the ecological effects of marine infrastructure. Her work bridges field studies, data science (e.g., CRITTERBASE), and policy-relevant research to inform sustainable ocean management.

• Biogeochemistry
• Climate Science
• Hydrology
• +3 more

Dr. Sujan Koirala is a Researcher at the Max-Planck-Institute for Biogeochemistry, Department of Biogeochemical Integration (BGI). His work focuses on Model-Data Integration of carbon and water cycles, developing process-based models to quantify uncertainties in structural and observational data. Key research interests include global water and carbon budget dynamics, groundwater's role in ecosystems, and the quantification of land-atmosphere CO2 exchange. He contributes to frameworks like the SINDBAD model and ESMValTool for climate and biogeochemical modeling. His recent studies address interannual variability in ecosystem productivity, machine learning applications in hydrology, and the impacts of climate change on water limitations. Education details are not explicitly provided, but his research spans biogeochemistry, hydrology, and climate science. Collaborations involve global hydrological models and satellite data integration. He is affiliated with the Model-Data Integration research group and has published extensively on carbon cycle modeling, groundwater dynamics, and disturbance regimes in forest ecosystems.

• Hydrometeorology
• Climate Modeling
• Numerical Weather Prediction
• +3 more

Evgenii Churiulin is a Scientific Programmer at the Max Planck Institute for Biogeochemistry (2022–present). He holds a Ph.D. (2019) and M.Sc./B.Sc. (2016/2014) in hydrology from Lomonosov Moscow State University and Russian State Hydrometeorological University. His research focuses on hydrometeorology, improving numerical parameterization schemes for snow cover, vegetation, and fires in climate models, and developing scripts for data analysis from models like COSMO and OCN. He has held roles including Postdoctoral Fellow at the University of Kassel (2020–2022), Researcher at the Hydrometcenter of Russia (2017–2020), and Junior Researcher at the Arctic and Antarctic Research Institute (2014–2017). He lectured at Lomonosov Moscow State University (2017–2019) on hydrology and snow hydrology. His work emphasizes climate modeling innovations, snow dynamics, and interdisciplinary collaborations. Education: Ph.D. in Geographical Science (Hydrology), Lomonosov Moscow State University (2016–2019) M.Sc. in Hydrometeorology, Russian State Hydrometeorological University (2014–2016) B.Sc. in Hydrometeorology, Russian State Hydrometeorological University (2010–2014) Research Interests: Climate modeling, snow cover parameterization, vegetation-fire interactions, numerical weather prediction, and data analysis frameworks for climate models. His work bridges hydrometeorological processes with computational tools like COSMO-CLM and SnoWE models to enhance predictive accuracy in regional climate systems. Publications & Contributions: Over 15 peer-reviewed articles and technical reports, including key contributions to COSMO-Ru and SnoWE models. His work on snow water equivalent estimation and flood modeling has advanced hydrological forecasting. He also co-authored a comprehensive Arctic atlas and holds software certificates for SnoWE model development. Awards & Recognition: None explicitly listed, though his contributions to climate modeling are recognized through active participation in workshops like COST HarmoSnow. Grants & Labs: Part of the SnoWE model development team and collaborates with institutions like the Hydrometcentre of Russia. His work is supported by projects in numerical weather prediction and climate model refinement.