جست‌وجوی استاد و پژوهشگر

Christoph Pflaumمشاهده پروفایل

استاد

• simulation of airships
• computational optics
• high performance computing
• +۲ مورد دیگر

Prof. Christoph Pflaum holds the position of Professor of Computational Engineering at the University of Erlangen-Nürnberg's Department of Computer Science. His academic journey includes a PhD (1996) and Habilitation (1999) from Technical University Munich and University of Würzburg, respectively. His research focuses on computational optics, high-performance computing, numerical analysis, and multigrid methods, with applications in laser simulation and energy-efficient systems. Education : 1992: Diploma in Mathematics, Technical University Munich 1996: Dr. rer. nat., Technical University Munich 1999: Habilitation, University of Würzburg Research Interests : PDE solvers on sparse grids, laser dynamics (thermal lensing, solid-state amplifiers), computational fluid dynamics for airships, and optical system optimization. His work bridges theoretical numerical methods with industrial applications in photonics and renewable energy. Key Contributions : Developed simulation tools for high-power lasers and solar cells, including LASCAD and FDFD methods. Advances in multigrid algorithms and finite element analysis for complex optical systems. Teaching : Courses in theoretical computer science, scientific computing, and computational optics, emphasizing practical implementation using advanced numerical libraries and HPC. Grants & Projects : Led research on laser systems optimization (Innonet SOL), solar cell simulations (Photonics Europe), and high-performance computing initiatives (Par-EXPDE project).

Lukas Egliمشاهده پروفایل

پژوهشگر

• Agroecology
• Community-supported agriculture
• Food systems
• +۳ مورد دیگر

Dr. Lukas Egli is a Researcher in the Department of Computational Landscape Ecology at UFZ. His work addresses sustainable food systems through socio-ecological approaches. Research examines community-supported agriculture models and their impacts on sustainability. Develops frameworks for resilient agricultural systems through crop diversification and landscape management. Publications analyze relationships between farm management, biodiversity conservation, and production stability. Contributes to understanding how diversified farming systems enhance food security under climate variability.

• Global Change Biology
• Migration Ecology
• Wildlife Disease Dynamics
• +۳ مورد دیگر

Simeon Lisovski is a Researcher at the Alfred Wegener Institute (AWI) in Potsdam, Germany, specializing in Polar Terrestrial Environmental Systems. His work focuses on global change biology in polar regions, migration ecology, and wildlife disease dynamics. He leads the Polar Ecology and Health section, coordinating interdisciplinary research to address ecological challenges in Arctic and Antarctic environments. Affiliations: Alfred Wegener Institute, Polar Terrestrial Environmental Systems Section Key Projects: Coordinator of the BMBF-funded 'SQUEEZE' project, investigating climate impacts on Arctic ecosystems Research interests include migratory bird behavior, disease dynamics in wildlife populations, and the ecological consequences of climate change. His studies utilize geolocation tracking, remote sensing, and genomic tools to understand ecosystem processes in polar regions. Recent work highlights the importance of stopover regions for migratory species and the spread of pathogens in Antarctic wildlife.

• Climate Dynamics
• Climate Modelling
• Polar Research
• +۳ مورد دیگر

Prof. Thomas Jung is a leading climate scientist at the Alfred Wegener Institute (AWI) in Bremerhaven, Germany. As a Professor of Climate Dynamics, he holds key roles including Head of the Climate Dynamics Section, Vice-Director of AWI, and Spokesperson of the Research Programme "Changing Earth – Sustaining our Future". His work focuses on analyzing, modeling, and predicting the climate system with an emphasis on polar regions, ocean dynamics, and extreme weather events. He coordinates major initiatives such as the Polar Prediction Project (YOPP) and the ESM project, advancing high-resolution Earth system modeling (e.g., nextGEMS) and digital twin technologies for climate adaptation. Research interests include Arctic Ocean circulation (Beaufort Gyre, sea ice dynamics), mesoscale eddies in polar seas, and the impact of climate change on extreme weather. He leads development of coupled models like AWI-CM3 and FESOM2, emphasizing kilometer-scale simulations to capture critical climate processes. Notable contributions include real-time climate attribution studies (e.g., storm Boris rainfall intensification) and advancing climate services via projects like Destination Earth. Prof. Jung’s expertise spans ocean-atmosphere interactions, cryosphere dynamics, and climate model validation using observations from expeditions like MOSAiC. He actively collaborates internationally through networks like IDEA-S4S and chairs global initiatives to improve Arctic weather prediction and climate adaptation strategies.

• Computer Science
• Electrical Engineering
• Machine Learning
• +۳ مورد دیگر

Xue Jiang is a faculty member at Shanghai Jiao Tong University's School of Electronic Information and Electrical Engineering, China. Their research focuses on interdisciplinary areas including machine learning, signal processing, biomedical engineering, and cybersecurity. With a prolific publication record, they specialize in neural networks, fault diagnosis systems, federated learning, and brain-computer interfaces. Key research interests include developing intelligent algorithms for fault detection in mechanical systems, advancing medical imaging techniques through deep learning, and enhancing privacy in distributed data frameworks. Their work spans applications in robotics, cybersecurity, and bioinformatics. Notable contributions include adversarial robustness studies for EEG-based systems and PML-based computational methods for wave propagation analysis. Publications highlight innovations across engineering and computer science, with a focus on practical implementations in real-world systems. Collaborations with institutions like the Hong Kong University of Science and Technology and Harbin Institute of Technology reflect their extensive academic network.

Kirstin Zimmerمشاهده پروفایل

استاد

• Logistics
• Aviation Management
• Quantitative Methods
• +۳ مورد دیگر

Prof. Kirstin Zimmer holds the position of Professor for Logistics and Quantitative Methods at Frankfurt University of Applied Sciences' Faculty 3: Business and Law. She serves as Head of the Aviation Management (B.A.) degree program and specializes in research areas including logistics optimization, aviation management strategies, and quantitative methodologies for supply chain analysis. Her teaching portfolio includes courses such as Logistics I/II, Transport Logistics, and Operations Research. Her research focuses on environmental sustainability in aviation, market potential of emerging transportation technologies like flight taxis, and historical developments in air traffic systems. She has published extensively in journals like the European Journal of Operational Research and Zeitschrift für Tourismuswissenschaften, with notable work on supply chain coordination mechanisms and climate-conscious aviation policies. Prof. Zimmer's academic contributions bridge theoretical frameworks with practical industry applications, particularly in addressing challenges like airspace management and sustainable consumption patterns among younger generations. Her publications reflect a multidisciplinary approach combining operations research, environmental economics, and aviation policy analysis.

Robert Gaschlerمشاهده پروفایل

استاد

• Environmental Psychology
• Cognitive Psychology
• Data Visualization
• +۵ مورد دیگر

Prof. Robert Gaschler is a Professor of Experimental Psychology specializing in Learning, Motivation, and Emotion at FernUniversität in Hagen. He holds a Dr. rer. nat. from Humboldt University Berlin and has held academic roles at the University of Koblenz-Landau and Humboldt University. His research focuses on interdisciplinary applications of psychology in energy/environment contexts, sequence learning, dual-tasking, and data visualization. He leads the MaxFab project exploring energy price trends and production timing visualization. Active in academic governance, he serves on FernUniversität's Faculty Board and the European Society of Psychology Learning and Teaching's Executive Committee. Education: 2009: Dr. rer. nat. in Psychology, Humboldt University Berlin 1998–2003: Psychology studies at Humboldt University Berlin Research Interests: Interdisciplinary psychology research in energy/environment fields, data graphic perception, sequence learning mechanisms, multitasking cognition, and e-learning strategies. He investigates how visual data representations influence decision-making in climate policy contexts and energy markets. Grants & Projects: DFG-funded research on multitasking mechanisms, MaxFab project on industrial energy optimization via data visualization, and EU-funded studies on pro-environmental behavior frameworks. Labs/Teams: Leads General Psychology: Learning, Motivation, Emotion lab at FernUniversität, collaborating with interdisciplinary teams in climate science and healthcare communication.

Bastian Schröterمشاهده پروفایل

استاد

• Sustainable Energy Systems
• Urban Energy Transition
• Decarbonization Strategies
• +۴ مورد دیگر

Prof. Bastian Schröter is a Professor of Energy Technology at the University of Applied Sciences Stuttgart, focusing on sustainable energy systems and urban decarbonization. He holds a PhD from the University of Augsburg and has extensive industry experience with Siemens and McKinsey. His research emphasizes regional energy transition, greenhouse gas accounting, and water-energy interactions. Education: PhD (Dr. rer. nat.) in Environmental Science, University of Augsburg (2010-12) M.Sc. Physics, Universities of Jena, Grenoble, and Munich (2002-07) Research Interests: Urban energy systems and decarbonization strategies GIS-based modeling for renewable energy potential analysis Policy frameworks for sustainable infrastructure His projects include SektorSim³ (mobility-energy transition) and CircularGreenSimCity (resource-efficient urban planning). Grants & Projects: Funded by BMWi and BMBF for EnSys-LE (local energy markets) and INSOURCE (food-water-energy nexus) EU Horizon Project W4RES (women in renewable energy) Awards & Roles: Member of Stuttgart's Climate Innovation Council Alumni of the German Academic Scholarship Foundation Labs/Teams: Leads the Competence Center for Sustainable Energy Technology at HFT Stuttgart, collaborating with institutions like ewi Research & Scenarios and the City University of New York.

Ahsanullah Mohsenمشاهده پروفایل

پژوهشگر

• Management
• Economics
• Organizational Behavior
• +۴ مورد دیگر

Ahsanullah Mohsen is a researcher at Osnabrück University of Applied Sciences' Faculty of Management, Culture and Technology. His academic background includes a Master of Science in Economics and Management from Ruhr University Bochum (2017) and a Bachelor of Science from Goa University (2015). With over a decade of professional experience in Afghanistan, he has held roles such as Academic Vice-Chancellor, Department Head, and strategic planning committee member at multiple universities. His research focuses on organizational behavior, entrepreneurship in conflict zones, and development economics. Fluency in English, German, Persian, Pashto, and Hindi/Urdu Advanced skills in SPSS, Stata, and Microsoft Office Research Interests: Mohsen explores how macroeconomic variables impact economic growth, the role of organizational culture in performance, and barriers to women's entrepreneurship in developing nations. His recent work emphasizes Afghanistan's business environment, job satisfaction in education sectors, and green innovation prospects in fragile states. He combines quantitative analysis with field insights from South Asia. Publications span peer-reviewed journals like the International Journal of Research and Analytical Reviews and book chapters in Emerald and World Scientific collections. His work on Afghanistan's STI gap analysis was commissioned by UNECE. He frequently presents at international conferences such as EBES and RSEP.

Nikolaus Ballenbergerمشاهده پروفایل

استاد

• Physiotherapy
• Clinical Judgment
• Epidemiology
• +۴ مورد دیگر

Prof. Dr. Nikolaus Ballenberger is a Professor at the Faculty of Economics and Social Sciences (WiSo) at Osnabrück University of Applied Sciences, specializing in Physiotherapy with a focus on clinical judgment. He holds a Master’s in Physiotherapy Science from Universities of Zurich and Maastricht (2008) and an M.Sc. in Epidemiology from Maastricht University (2009). His career includes roles as an epidemiologist at Ludwig Maximilian University Munich and as a lecturer in epidemiology and statistics. He joined Osnabrück in 2014 as a Professor, overseeing research in clinical decision-making, epidemiological study design, and biomechanics. His research interests span methodological rigor in clinical studies, evidence-based practice, and musculoskeletal health. Notable projects include the MusikPhysioKohort study on music students’ health and the ROSE initiative exploring learning health systems. He advises CRAFTA and the PT journal Physiotherapy . Publications emphasize systematic reviews, meta-analyses, and methodological critiques of clinical trials, addressing biases and data handling in rehabilitation research. His work bridges epidemiology, clinical practice, and educational innovation in physiotherapy.

Johannes Schobelمشاهده پروفایل

استاد پژوهشی

• Digital Medicine
• Health Informatics
• Mobile Health (mHealth)
• +۳ مورد دیگر

Professor Dr. Johannes Schobel is a Research Professor in Digital Medicine and Care at Neu-Ulm University of Applied Sciences, where he also serves as Academic Advisor and Head of the Health Informatics (B.Sc.) degree programme. His work focuses on mobile health (mHealth) applications, AI-driven medical imaging, and digital solutions for clinical challenges such as tinnitus, pediatric behavioral analysis, and cancer therapy. He leads projects integrating machine learning with clinical workflows, including tumor segmentation algorithms and telemedicine platforms. His research spans mHealth app development, medical device regulation, and interdisciplinary approaches to healthcare innovation. Notable projects include the ProVIA trial for pediatric behavioral analysis via smartphones, the Corona Health platform for pandemic monitoring, and AI-based tools for histopathological analysis of glioblastoma. He emphasizes user-centric design in healthcare technology, addressing gaps between clinical needs and digital solutions. Recent work explores ecological momentary assessment for chronic conditions, such as tinnitus variability tracking and stress management. He collaborates with industry through the Technology Transfer Center (TTZ) Günzburg to translate research into practical tools, exemplified by AI-supported web applications for game developers and geriatric care systems. His academic contributions include over 50 peer-reviewed publications, focusing on mHealth app evaluation frameworks, machine learning in pathology, and digital twin technologies for healthcare systems. He advises on ethical medical device regulation and has pioneered gamification strategies for orofacial therapy adherence in children.

Ingrid Aichertمشاهده پروفایل

پژوهشگر

• Neurology
• Speech Pathology
• Neuroscience
• +۴ مورد دیگر

Dr. Ingrid Aichert is a researcher in the Clinical Neuropsychology Research Group (EKN) at Ludwig Maximilian University of Munich, specializing in neurogenic speech and language disorders. She has been affiliated with the university since 2002, contributing to studies on apraxia of speech, aphasic phonological disorders, and speech motor planning. Her work integrates neurophysiological and clinical approaches to understand speech production deficits and develop evidence-based therapies. Education: PhD in Speech Pathology, University of Potsdam (2007) Studies in German Language & Literature and Psychology, Goethe University Frankfurt (1995–1996) Speech Pathology degree, University of Potsdam (1996–2002) Research Interests: Her research focuses on neurophonetics, functional predictors of communicative outcomes in speech disorders, and the role of metrical patterns in speech recovery. She investigates how rhythmic entrainment and auditory priming can aid patients with Parkinson's disease and apraxia of speech. Teaching: She leads seminars on apraxia diagnostics/therapy, aphasia management, and dyslexia/dysgraphia. Her pedagogical work emphasizes model-based clinical practice and evidence-based interventions. Labs/Teams: She is part of the Institute of Phonetics and Speech Processing (IPS) and the Clinical Neuropsychology Development Group (EKN), collaborating on interdisciplinary projects in speech motor control and neurorehabilitation.

Florian Meinfelderمشاهده پروفایل

مدرس

• Data Analysis with Missing Values
• Data Fusion
• Statistical Methodology
• +۵ مورد دیگر

Dr. Florian Meinfelder is a Lecturer for Special Tasks and Coordinator of the Master's Program in Survey Statistics at the University of Bamberg's Department of Statistics and Econometrics. He holds a PhD in Statistics from the Otto-Friedrich University of Bamberg (2009) and previously worked in middle management at GfK SE, leading their Data Integration Competence Center. His research focuses on data analysis with missing values, data fusion, empirical Bayes procedures, and nearest-neighbor algorithms. He has contributed to the development of the BaBooN software package for imputation methods and serves as an Associate Editor for the Journal of Official Statistics . His work bridges academic research with practical applications in official statistics and survey methodology. Education: Studied Social Sciences at FAU Erlangen-Nuremberg, conducted research at Harvard University and the University of Michigan. Professional Experience: 8 years in industry roles at GfK SE, followed by academic roles since 2010. Key Contributions: Over 20 peer-reviewed publications on statistical methodology, data integration, and survey design. Engaged in collaborative projects and methodological advancements in handling incomplete data and multinational survey systems. Research Interests: Methodological innovations in missing data imputation, data fusion techniques, Bayesian methods, and the application of statistical theory to real-world problems. His work emphasizes bridging gaps between theoretical frameworks and practical implementation in official statistics and econometrics.

John-Oliver Englerمشاهده پروفایل

استاد

• Sustainability Science
• Ecological Economics
• Applied Statistics
• +۴ مورد دیگر

Prof. John-Oliver Engler is a Professor (W1) of Bioeconomy and Resource Efficiency at the University of Vechta (since 2022) and a Visiting Professor at Leuphana University Lüneburg's Methodology Centre (since 2023). His research focuses on risk, uncertainty, sustainability in human-environment systems, applied statistics, and ecological economics. He has held roles including Research Associate at Leuphana (2017–2022) and Actuary at BNP Paribas Cardif (2016). PhD in Ecological Economics (Leuphana, 2011–2015) M.Sc.-equivalent in Physics (Konstanz University, ETH Zurich, University of Hawaii, 2004–2010) Teaching includes modules on biology fundamentals, sustainability education, risk management, applied statistics for sustainability research, and rural transformation. Courses emphasize practical skills like data visualization and evidence-based management. Recent publications address econometric paradigms, global catastrophic risk quantification, degrowth theory critiques, and nuclear energy debates. He leads projects such as the EU-funded 'DivGrass' (2023–2027) for climate-resilient agriculture and 'Justice Dimensions of Sustainability' doctoral program (2025–2029). Member of University Senate (2025–present) Deputy Chair of Ethics Committee Deputy Director of VISTRA Projects Engler's work bridges quantitative methods with sustainability challenges, emphasizing interdisciplinary solutions for climate adaptation and equitable resource management.

Panagiota Tzamouraniمشاهده پروفایل

پژوهشگر

• Household Finance
• Survey Methodology
• Macroeconomics
• +۴ مورد دیگر

Panagiota Tzamourani is a Senior Economist at the Research Centre of the Deutsche Bundesbank, specializing in household finance, survey methodology, and macroeconomic analysis. Her work focuses on understanding household financial behavior, wealth distribution, and the distributional effects of economic policies. She has contributed to designing and analyzing major surveys like the Panel on Household Finances (PHF), providing critical insights into household debt patterns and financial literacy across Europe. Her research spans topics such as climate change behavior, the impact of monetary policy on asset prices, and the role of interviewer effects in survey data quality. Tzamourani’s work emphasizes methodological rigor, particularly in latent variable models and bootstrap techniques. She has published extensively in journals like the European Economic Review and the Journal of the Royal Statistical Society, and her findings inform policy debates on inequality, financial stability, and sustainable economic practices.