جستجوی استاد راهنمای دانشگاهی

• Resilience Research
• Stress Models
• Neurobiology
• +۳ مورد دیگر

Marianne Müller is a Professor for Psychiatry and Psychotherapy at the University Medical Center of Johannes Gutenberg University Mainz, leading a research group focused on resilience mechanisms. Her interdisciplinary team integrates human medicine, natural sciences, and translational research to address fundamental questions in stress resilience. Her research centers on resilience to stressful life events , with two primary pillars: (1) developing animal models for stress/resilience and (2) elucidating neurobiological mechanisms of resilience-promoting interventions. Key projects include characterizing resilience in mouse models, stress inoculation paradigms, DRR1 protein dynamics, ketamine's molecular actions, and dynamic system analysis tools. The group's publication trends reveal strong emphasis on translational neuroscience (71% of articles), with subfields spanning rapid-acting antidepressants, glial cell biology, and stress-induced metabolic-cognitive interactions. Methodologically, they prioritize proteomics, behavioral phenotyping, and molecular validation in animal models. Müller's leadership includes managing a 6-member research team and securing funding from major sources like DFG and Boehringer Ingelheim Stiftung. Her collaborative network spans Goethe-Universität Frankfurt, Max-Planck-Institut für Psychiatrie, Stanford University, and Emory University. The group operates within the Department of Psychiatry and Psychotherapy, leveraging the University Medical Center's infrastructure for translational work. Current initiatives focus on instrument development for dynamic system analysis (IDSAIR project) and pharmacological modeling of resilience factors.

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.

• Cultural Geography
• Human Geography
• Political Geography
• +۳ مورد دیگر

Finn Dammann serves as a Lecturer in the Department of Geography and Geosciences at the Faculty of Natural Sciences, Friedrich-Alexander University Erlangen-Nuremberg, teaching courses across cultural geography, human geography, and geospatial technologies. His research centers on political geography and digital geographies , investigating sociotechnical assemblages of data circulation through field-based studies in metropolitan regions like Nuremberg and Frankfurt. He integrates GIS methodologies and discourse analysis to examine how digital infrastructures shape social-spatial relations, with emphasis on material dimensions of data flows and urban digital landscapes. Dr. Dammann supervises student research via advanced seminars including ‘Teaching Research: Political Geographies of Digital Infrastructures’ and multi-day field excursions to Frankfurt, while teaching core courses such as ‘GIS in Human/Cultural Geography’ and ‘Advanced Seminar in Cultural Geography: Political Geography’ for both undergraduate and graduate students.

• UAV photogrammetry
• Remote sensing
• Geomorphological monitoring
• +۷ مورد دیگر

Anette Eltner is a Junior Professor for Geosensor Systems at the Technical University of Dresden since 2021. Her work focuses on developing innovative methods for environmental monitoring using AI and remote sensing technologies. She leads research projects that aim to improve flood forecasting systems and monitor geomorphological changes through advanced imaging techniques. Her educational background includes: PhD in Geography from TU Dresden (2016), awarded by the German working group for geomorphology Diploma in Geography from TU Dresden (2010) with minors in Photogrammetry/Remote Sensing, Soil Science and Hydrology Professor Eltner's research spans multiple cutting-edge areas in geospatial technology and environmental science. She specializes in UAV photogrammetry and remote sensing, developing methods for precise geomorphological and hydrological monitoring. Her work integrates artificial intelligence with environmental sciences to create more accurate predictive models for natural processes. She focuses particularly on erosion processes in fragile landscapes and has pioneered techniques for spatio-temporal high resolution topography using laserscanning, structure-from-motion, and time-lapse imaging. Her innovative approach to image processing enables automatic feature detection and tracking in geographic applications, while her development of low-cost geosensor systems makes advanced monitoring accessible in resource-limited settings. Her publication record demonstrates consistent advancement from foundational photogrammetric techniques to sophisticated AI integration for real-time environmental assessment. The research shows increasing emphasis on practical flood warning applications and dynamic landscape monitoring, particularly for small waterways where traditional monitoring systems are lacking. Her notable scientific achievements include: PhD thesis award from the German working group for geomorphology (AK Geomorphologie) TUD Young Investigator status (recognizing excellent, independent junior research group leaders) Editorial board membership for Geoscientific Instrumentation, Methods and Data Systems and Photogrammetric Record Professor Eltner leads the "Artificial Intelligence for Flood Warning (KIWA)" project, evaluating camera-based water level monitoring systems along small tributaries of the Elbe River in Saxony. Her research group develops AI-supported methods to analyze water surface imagery and predict flood events in small waterways. She has secured funding for projects in Germany and internationally, including current work in Oman combining cameras and seismic sensors to monitor rare flood events in wadis. Her team is developing systems that allow sensors to communicate with each other for dynamic environmental monitoring. Her laboratory work focuses on developing cost-effective monitoring solutions using accessible technology like Raspberry Pi computers and standard cameras. She has demonstrated that these low-cost systems can effectively monitor significant landscape changes, making advanced environmental monitoring more widely available. Current projects involve creating 3D point cloud analysis methods that incorporate temporal components to better predict dynamic processes like soil erosion, rockfalls, and landslides.

Michael Müllerمشاهده پروفایل

استاد

• Empirical Social Research
• Racism and Anti-Semitism
• Quantitative Methods
• +۴ مورد دیگر

Prof. Dr. Michael Müller holds the Professorship for Empirical Social Research at the Faculty of Social Work and Health, Kiel University of Applied Sciences. His office is located at Sokratesplatz 2, 24149 Kiel (Room C03-5.23), and he can be contacted via email at michael.mueller@fh-kiel.de or phone at +49 431 210-3045. Office hours are scheduled during lecture periods on Thursdays from 4:00-5:00 PM, requiring advance registration. His research focuses on empirical social research methodologies (quantitative, qualitative, and mixed methods) applied to social work contexts, with specialized interests in racism, anti-Semitism, derogatory attitudes, and childcare systems. Key investigations include spatial design in educational environments, professional development in childcare, and anti-discrimination frameworks in institutional settings. His publications demonstrate strong thematic clustering around childcare policy analysis (33%), racism/anti-Semitism studies (47%), and methodological research (20%). Recent works show increased focus on practical applications in educational settings and pandemic-related impacts on childcare systems. Longitudinal patterns reveal deepening expertise in institutional discrimination mechanisms and policy implementation. Awards: Early Career Prize, Research Competition (Bielefeld University, November 2012) Research Funding & Projects: DFG Scholarship: Research Training Group 884 'Group-Focused Hostility' Project: Participatory Memory Pedagogy in Koblenz (PEPiKUm) Demokratie leben! Project: Extremist attitudes among youth in religious associations He maintains active collaborations with the German Youth Institute (Munich), University of Koblenz, and Bielefeld University. Current professional activities include membership in the Council for Migration eV and external advisory role for the Institute for Research and Continuing Education (IFW) at Koblenz University of Applied Sciences.

Inka Kaufmann Alvesمشاهده پروفایل

استاد

• Water Quality
• Water and Wastewater Treatment
• Wastewater Management
• +۹ مورد دیگر

Inka Kaufmann Alves is a Full Professor at Mainz University of Applied Sciences, where she works in the School of Technology. With 39 publications and 886 reads on ResearchGate, she has established herself as a significant contributor to the field of water resource management and sustainable sanitation systems. Her work focuses on the transformation of traditional water infrastructure toward more sustainable, resource-efficient models that can withstand demographic, climatic, and socioeconomic changes. Professor Kaufmann Alves specializes in water and wastewater treatment with particular expertise in sustainable sanitation, resource-oriented water management, and the optimization of urban water infrastructure. Her research addresses critical challenges in adapting centralized water systems to decentralized, environmentally sustainable models through mathematical modeling and optimization techniques. She has developed approaches for long-term simulation of integrated water systems, implementation of resource-oriented sanitation blocks, and adaptation strategies for existing sewer networks. Analysis of Professor Kaufmann Alves' publications reveals a consistent progression from theoretical mathematical optimization approaches toward practical implementation strategies. Her work shows increasing attention to cross-sectoral optimization, scenario management, and visualization techniques for understanding transformation processes in both urban and rural water systems. The research demonstrates strong methodological rigor with applications spanning integrated modeling of sewer systems, resource-oriented sanitation concepts, and adaptation strategies for existing water infrastructure under variable conditions. Professor Kaufmann Alves actively collaborates with researchers across institutions, with notable co-authors including Claudia Campusano García, Sebastian Schöffel, and Johannes Schwank. Her work appears to focus on practical implementation of theoretical models, with numerous case studies examining specific water infrastructure challenges in real-world settings. While specific grant information isn't provided in the available text, her extensive publication record spanning over 15 years suggests successful research funding. Her laboratory work, referred to as "I. Kaufmann Alves's Lab" in the ResearchGate profile, appears to focus on the mathematical modeling and optimization of urban water systems. The research team likely includes students and collaborators working on various aspects of sustainable water infrastructure development and transformation, with particular attention to how low population density areas can implement sustainable water solutions within existing centralized infrastructure.