جست‌وجوی استاد و پژوهشگر

Jeanette Hussongمشاهده پروفایل

استاد

• Fluid Mechanics
• Aerodynamics
• Multiphase Flows
• +۷ مورد دیگر

Prof. Dr.-Ing. Jeanette Hussong is a Professor and Head of the Fluid Mechanics and Aerodynamics department at TU Darmstadt's College of Mechanical Engineering. Her research focuses on particle flow dynamics, multiphase systems, and advanced flow measurement techniques. Key areas include supercooled droplet impact mechanisms, icephobic coatings, and thermal management in electric machines. She employs computational models like Reynolds stress modeling and advanced experimental methods such as A-PTV and phosphorescence decay analysis. Recent work explores microfluidic oxygen distribution, snowflake melting behavior, and nanoscale dewetting instabilities. Hussong leads studies on aerodynamic ice accretion, blood analog fluid dynamics, and supersonic atomization processes for metal powder production. Her interdisciplinary contributions bridge fluid mechanics, materials science, and biomedical engineering. Education details are not explicitly listed in the provided texts, but her academic title (Dr.-Ing) indicates a Doctorate in Engineering. Research highlights include over 50 peer-reviewed articles on droplet impact dynamics, phase change phenomena, and multiphase flow simulation. She collaborates on projects involving industrial applications such as turbine cooling systems and additive manufacturing. Laboratory facilities support high-speed imaging, particle tracking velocimetry, and thermal field analysis. Current initiatives focus on optimizing spray cooling systems and developing predictive models for particle fractionation in microfluidic channels. Awards and grants are not explicitly mentioned in the available data, but her extensive publication record suggests sustained research excellence. Advising activities and student supervision details are not provided in the scraped content. Her work has direct applications in aerospace engineering, renewable energy systems, and biomedical device development.

Kapil Patilمشاهده پروفایل

پژوهشگر ارشد

• Science Policy
• Nuclear Technology
• Defense Technology
• +۳ مورد دیگر

Dr. Kapil Patil is a Research Fellow at Friedrich-Alexander-Universität Erlangen-Nürnberg, holding a postdoctoral position in the ERC-funded project 'Living with Radiation: The Role of the International Atomic Energy Agency in the History of Radiation Protection' at STGS. His research focuses on science policy, nuclear diplomacy, and defense technology sectors. He earned his Ph.D. in Science Policy from Jawaharlal Nehru University, New Delhi, where his thesis explored public technology procurement in India’s military radar industry. Dr. Patil’s career includes roles at the Research & Information System for Developing Countries (RIS) and the Indian Pugwash Society, collaborating on projects like India’s nuclear program sponsored by the Indian Board of Nuclear Sciences (BRNS). He co-edited India’s Nuclear Energy Programme: Challenges, Prospects, and Public Concerns (2014). Notably, he received the 2018 Emerging Leaders Fellowship from the Korean Ministry of Unification and participated in the Nuclear History Boot Camp (2011). His current research examines post-Cold War radiation protection standards and IAEA’s role in global governance. He has published widely on science diplomacy, technology policy, and international relations, with articles spanning cybersecurity, AI applications, and nuclear energy challenges. Dr. Patil’s work integrates historical analysis with policy advocacy, emphasizing ethical and geopolitical dimensions of scientific advancements. His contributions bridge academic research and practical policy implementation in defense, energy, and nuclear sectors.

Anita Schöbelمشاهده پروفایل

استاد

• Operations Research
• Mathematical Optimization
• Robust Optimization
• +۱۲ مورد دیگر

Anita Schöbel is a Professor in the Department of Mathematics at the Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau (RPTU) and serves as the Director of the Fraunhofer Institute for Industrial and Financial Mathematics (ITWM) in Kaiserslautern. She is a leading figure in operations research and mathematical optimization, with a strong focus on public transportation systems, robust optimization, and multi-objective decision-making. Her dual roles bridge academic research and industrial application, particularly in logistics, healthcare, and energy systems. Her research interests include: Robust and integer optimization Public transport planning (timetabling, line planning, delay management) Facility and hub location problems Multi-objective optimization under uncertainty Algorithmic methods in transportation networks The analysis of her recent publications reveals a consistent focus on integrating robustness into transportation planning, using machine learning to enhance schedule reliability, and advancing theoretical frameworks for multi-objective optimization. Her work often combines mathematical rigor with real-world applicability, especially in public transit and pandemic modeling. She has contributed significantly to the development of optimization models for public health during the COVID-19 crisis. Her scientific awards include leadership roles in major professional societies: President of the European Association of Operational Research Societies (EURO), 2022–2023 President of the German Society for Operations Research (GOR), 2019–2020 Anita Schöbel has been actively involved in grant-funded research and collaborative projects, including the DFG Research Group FOR2083 on integrated transportation planning, the EU project EASIER, and the BMBF project SynphOnie. She is currently co-spokesperson of the DFG Graduate College 2982 on 'Mathematics of Interdisciplinary Multiobjective Optimization'. She also serves on advisory boards such as the steering committee of HLRS and the Fraunhofer Strategic Research Field on Next Generation Computing. She leads the research group 'Optimization' at RPTU and is associated with initiatives like LinTim (software for transport planning), QuanTUK (quantum computing applications), and GRK 2982. Her leadership extends to academic governance, including membership in the RPTU University Council and the Departmental Council of Mathematics.

Susanne Motamenyمشاهده پروفایل

پژوهشگر

• Bioinformatics
• Genomics
• Computational Biology
• +۳ مورد دیگر

Susanne Motameny is a **Researcher** and **Head of NGS Bioinformatics** at the Cologne Center for Genomics (CCG) and a staff member at the West German Genome Center (WGGC) at the University of Cologne. She holds a PhD in Applied Mathematics from the University of Cologne. Her work focuses on developing and maintaining NGS data analysis pipelines for genomic studies, particularly in human exomes, whole genomes, and smallRNA sequencing. She collaborates closely with IT infrastructure teams to optimize high-performance computing environments for genomic data analysis. **Education**: Mathematics and Computer Science, Friedrich Schiller University, Jena, Germany PhD in Applied Mathematics, University of Cologne **Research Interests**: Computational Biology, Genomics, NGS data management, bioinformatics pipelines, and automation of genomic workflows. She also leads initiatives in data stewardship and infrastructure development for genomic data. **Publications**: Over 40 peer-reviewed articles, with recent work focusing on genomic analyses of rare variants in diseases like fetal akinesia, epilepsy, and host genetics in COVID-19. Her contributions span multi-institutional collaborations in genetic epidemiology and precision medicine. **Grants & Activities**: Co-Spokesperson of the German Human Genome-Phenome Archive (GHGA), leader of Data Hubs Operations and Data Stewardship Workstream (since 2020), and leader of Special Interest Group 5 “Data Management & Protection” (since 2018). Active in national and international genomic research networks. **Labs & Teams**: CCG Bioinformatics Team, WGGC, and collaborations with IT Center University of Cologne for genomic infrastructure projects.

Thomas Grafمشاهده پروفایل

دانشیار

• Hydrogeology
• Groundwater Modeling
• Variable-Density Flow
• +۵ مورد دیگر

Thomas Graf is an Associate Professor at the Institute of Fluid Mechanics and Environmental Physics in Civil Engineering, Leibniz University Hannover. His primary affiliation is within the Faculty of Civil Engineering and Geodetic Science. He specializes in hydrogeology, groundwater modeling, and environmental fluid mechanics. His research focuses on variable-density flow processes, geothermal systems, and coastal aquifer dynamics. Graf leads projects such as the RADON initiative on radioactive waste repository safety and contributes to TransTiP studies on Tibetan Plateau geoecosystems. He has advised students including Jonas Suilmann and Radhakrishna Bangalore Lakshmiprasad. His work spans academic publications, numerical benchmarks, and interdisciplinary collaborations involving hydrogeology, geophysics, and environmental engineering. Education: Ph.D. in Hydrogeology from Laval University (2005), Diplom thesis in GIS integration (2001). Research interests include thermal convection in porous media, permafrost dynamics, and urban flood modeling. He has pioneered methodologies for pipe leakage simulation and groundwater-surface water interactions. Current projects address climate change impacts on coastal aquifers and radioactive waste repository safety. His lab develops tools for subsurface flow modeling and integrates geophysical data with hydrological simulations. Grants: Federal Agency for Final Storage (2021–2024), German Research Foundation (2018–2022). Projects emphasize uncertainty quantification, robust infrastructure design, and environmental risk assessment. Teaching includes courses on hydromechanics, contaminant transport, and numerical modeling.

• Machine Learning
• Physics-Informed Neural Networks
• Computational Fluid Dynamics
• +۱۲ مورد دیگر

Dr. Michael Rom is a researcher at the Institute for Geometry and Practical Mathematics (IGPM), part of the Faculty of Mathematics, Computer Science, and Natural Sciences at RWTH Aachen University, Germany. He is actively engaged in applied mathematics and computational engineering, with a strong focus on fluid dynamics, tribology, and machine learning applications in industrial processes. Research Interests: Physics-Informed Neural Networks Transpiration Cooling and Porous Media Flow Hydrodynamic Lubrication and Cavitation Modeling Reduced Basis and Homogenization Methods Grid Generation and B-Spline Surfaces Grinding Wheel and Surface Modeling His recent publications (2021–2025) show a clear trend toward integrating deep learning and data-driven methods into classical engineering problems, particularly in manufacturing, aerospace thermal protection, and tribological systems. He frequently collaborates with experts in mechanical engineering and materials science, bridging disciplines to solve complex multiphysics problems. Scientific Awards: No awards mentioned in the provided text. Dr. Rom has supervised or co-supervised several students, as evidenced by co-authored works with individuals like M. Schultz, F. Brumand-Poor, and V. König. He has also contributed to teaching at RWTH Aachen, offering courses in numerical computation and finite element methods. His research is supported by collaborations with industrial and academic partners, particularly in digital production and thermal spray technologies. Laboratories and Research Teams: Institute for Geometry and Practical Mathematics (IGPM), RWTH Aachen Collaboration with the Chair of Production Metrology and Quality Management (F. Klocke) Part of interdisciplinary projects such as Internet of Production and Monetization of Technical Data

Jens Großklagsمشاهده پروفایل

استاد

• Cybersecurity
• Privacy
• Artificial Intelligence Ethics
• +۴ مورد دیگر

Prof. Jens Großklags is a Full Professor (W3) of Cyber Trust at the Technical University of Munich (TUM), leading the Chair of Cyber Trust within the Department of Computer Science. His role includes academic leadership in the TUM School of Computation, Information and Technology since 2017. Previously, he held positions at Penn State University, Princeton University, and UC Berkeley. His interdisciplinary research focuses on security economics, privacy behaviors, and policy implications of emerging technologies like AI and social credit systems. Education: Ph.D. in Information (UC Berkeley, advised by John Chuang), dual Master's in Computer Science and Information Management. His work bridges technical, behavioral, and policy domains, addressing issues such as data privacy on social networks, genetic information protection, and algorithmic governance in China. Publicly recognized with four Best Paper Awards and Google Faculty Research Awards. Research Interests: Cybersecurity policy, behavioral privacy economics, algorithmic regulation, and sociotechnical systems. Active in policy advisory roles with the FTC, NSF, and European agencies. Editor roles at IEEE Security & Privacy and other journals. Supervised numerous PhD/Master’s students including Benjamin Johnson and Julia Sasse. Awards: ACM and IEEE Senior Membership, Distinguished Paper (USENIX 2023), and National Merit Foundation Scholar (1999–2002). Directs the Cyber Trust Lab, collaborating on global projects like the EU AI Act and cross-national AI ethics studies.

Rupert Seidlمشاهده پروفایل

استاد

• Ecosystem Dynamics
• Forest Management
• Disturbance Ecology
• +۵ مورد دیگر

Prof. Rupert Seidl is a Professor of Ecosystem Dynamics and Forest Management at the Technical University of Munich (TUM), affiliated with the TUM School of Life Sciences and the Department of Life Science Systems. He leads the Chair of Ecosystem Dynamics and Forest Management in Mountain Landscapes, focusing on understanding forest ecosystem dynamics, disturbance regimes, and sustainable management strategies in the context of climate change. His research integrates empirical field studies, remote sensing, and simulation modeling to address challenges such as biodiversity conservation, carbon sequestration, and forest resilience. Seidl holds a PhD from the University of Natural Resources and Life Sciences (BOKU) Vienna (2008) and completed his habilitation in forest ecosystem management in 2014. He has held academic positions at BOKU Vienna, including Associate Professor and Deputy Director of the Institute of Silviculture, before joining TUM in 2019. His work includes leading projects like the ERC Consolidator Grant-funded research on forest disturbances and collaborations with institutions like the Berchtesgaden National Park. Key research areas include disturbance ecology, climate change impacts on forest ecosystems, and the development of management frameworks for resilient forest landscapes. He has authored influential studies on forest disturbance regimes, biodiversity-productivity relationships, and the role of human interventions in forest resilience. His contributions have positioned him among the top 1% of most cited scientists in his field and earned recognition such as the Austrian Academy of Sciences membership and the START Prize. Seidl’s work emphasizes translating ecological insights into practical management strategies, with a focus on mountain ecosystems and protected areas. He oversees a team of researchers and collaborates internationally on projects addressing forest carbon dynamics, remote sensing applications, and socio-ecological resilience.

Luisa Menapaceمشاهده پروفایل

استاد

• Agribusiness Governance
• Consumer Behavior
• Competition Policy
• +۵ مورد دیگر

Prof. Luisa Menapace is a full Professor of Governance in International Agribusiness at the TUM School of Management (Technische Universität München). Her academic journey includes a Laurea in Agricultural Sciences (University of Padua, Italy), a Master's in Agribusiness (Catholic University of the Sacred Heart, Italy), and a PhD in Economics (Iowa State University, USA). She held postdoctoral roles as a Marie Curie Fellow at the University of Trento (2010-2012) and an Academic Councilor at the University of Bonn (2012-2013) before joining TUM in 2013. Her research focuses on agribusiness governance, consumer behavior in food markets, and institutional aspects of sustainability. Key themes include geographical indications (GIs), risk perception in agricultural decision-making, and the interplay between economic policies and ecological outcomes. She employs experimental and behavioral economics methodologies to analyze supply chain coordination, unfair trading practices, and market dynamics. Her recent work emphasizes agroforestry systems' potential to balance economic and ecological benefits under uncertainty and explores dual food quality issues affecting consumer choices. She has contributed to over 50 publications, with significant contributions in International Journal of Production Economics , Annual Review of Resource Economics , and Food Policy . Prof. Menapace collaborates in interdisciplinary projects involving agricultural economics, environmental science, and policy analysis. Her research has implications for EU food policy, international trade regulations, and sustainable development goals.

Karl Auerswaldمشاهده پروفایل

استاد مدعو

• Aquatic systems biology
• Soil Science
• Stable Isotope Analysis
• +۳ مورد دیگر

Prof. Dr. Karl Auerswald is an Adjunct Professor at the Technical University of Munich (TUM) since 2001, affiliated with the TUM School of Life Sciences. His research focuses on aquatic systems biology, stable isotopes in ecological processes, and agricultural ecosystem dynamics. Previously, he held the Chair of Soil Science and Soil Protection at the University of Halle from 1994 to 2001. He earned his doctorate in Soil Science from TUM in 1984 and completed his habilitation there in 1992 after working at the Bavarian Geological Office. His career spans academic leadership and contributions to understanding soil erosion, isotopic markers in terrestrial and aquatic systems, and environmental conservation. Notable awards include the 2019 Associate Editor Excellence Award and the 1986 Thurn&Taxis Agriculture Promotion Prize. His publications highlight interdisciplinary approaches, integrating geochemistry, ecology, and environmental engineering to address global challenges like flood mitigation and climate change impacts on ecosystems. Research interests further include quantitative planning for sustainable agricultural practices and the application of isotopic techniques in environmental monitoring.

Thomas Baumannمشاهده پروفایل

استاد مدعو

• Geofluids
• Sustainable Groundwater Management
• Geothermal Energy
• +۴ مورد دیگر

Prof. Dr. Thomas Baumann is an Adjunct Professor at the Chair of Hydrogeology at Technische Universität München (TUM). He leads the Geofluids Research Group and focuses on sustainable groundwater management, geothermal energy systems, and hydrogeochemical processes. His work aligns with UN Sustainable Development Goals, emphasizing subsurface process modeling and environmental resource optimization. Education: 1981–1989: Diploma in Geology, TUM 1994: PhD in Hydrogeology, TUM 2006: Habilitation in Hydrogeology, TUM Research Interests: Geofluids and colloid transport Geothermal energy applications and reservoir management Environmental impact of nanoparticles Managed aquifer recharge and floodwater storage Key Projects: Smart-SWS: Combining flood protection and drought prevention Geothermal Alliance Bavaria (GAB) Hydrochemical modeling of aquifer heat storage Awards: TUM Junior Fellow Contributor to multiple EU and national grants (e.g., InterPore, WaX) Grants & Labs: Labs: Hydrogeology Lab, Geothermal Lab, Geofluids Lab Teams: Collaborations with ETH Zurich, University of Bergen Labs/Teams: Geothermal Technologies Group Hydrogeology & Biogeochemistry Team

• Biosignal Processing
• Cardiac Electrophysiology
• Heart Rate Variability Analysis
• +۴ مورد دیگر

Prof. Dr. Georg Schmidt is a Professor of Biosignal Processing at the TUM School of Medicine and Health (Technical University of Munich). His research focuses on non-invasive cardiac risk assessment using electrocardiography (ECG) and heart rate variability (HRV) analysis, with emphasis on mortality prediction, arrhythmia detection, and telemedicine integration. He leads major studies like the EU-CERT-ICD cohort and the German National Cohort (NAKO), exploring topics such as ICD efficacy, gestational diabetes impacts, and data protection standards in healthcare. Key affiliations: TUM School of Medicine and Health, Department of Biosignal Processing Leadership roles: Humboldt/Heisenberg Professorship eligibility (per faculty listings) Research interests include: Cardiac autonomic function and arrhythmia risk ECG-based biomarkers for mortality prediction Interoperability of medical devices in smart hospitals Ethical frameworks for secondary use of health data Publications highlight contributions to ICD therapy optimization, fetal cardiac monitoring, and telemedicine in post-COVID scenarios. His work bridges clinical cardiology with engineering innovations in biosignal analysis. Awards: Not explicitly mentioned in provided texts. Advising/Grants: No listed students, but leads large collaborative research projects. Grants likely tied to EU-CERT-ICD and NAKO initiatives. Labs/Teams: Involved in TUM's biosignal processing and telemedicine integration teams.

Patricia Arias Cabarcosمشاهده پروفایل

استاد

• Cybersecurity
• Privacy Engineering
• Biometric Authentication
• +۳ مورد دیگر

Prof. Dr. Patricia Arias Cabarcos is a Professor in the Department of Computer Science (IT Security) at the University of Paderborn, leading the IT-Sicherheit group. She specializes in cybersecurity, privacy engineering, and human-centric authentication systems. Her research focuses on neurotechnology privacy, biometric authentication, and user-centered security design, with notable contributions to frameworks for brainwave-based authentication and privacy-preserving techniques for behavioral data. Current courses include Proseminar: Human Interaction in Privacy & Security and Accessibility, Privacy, and Identity. Her work bridges theoretical advancements with real-world usability, addressing challenges in industrial control systems, password managers, and neurotechnology data management. Publications highlight her leadership in standardizing methodologies for biometric evaluation (e.g., NeuroIDBench) and exploring public attitudes toward brain data privacy. She actively collaborates on projects like NeuroBench and Brainnet, emphasizing open-source tools for reproducible research. Her recent work (2025) advances user-centric digital identity wallets and credential audit interfaces, underscoring a commitment to practical, human-focused solutions in security. Awards and recognitions are not explicitly listed in the provided texts, but her extensive publication record and leadership roles indicate significant academic impact. Research spans over a decade, with contributions to IoT security, adaptive authentication, and privacy in eHealth systems, reflecting a broad yet cohesive focus on balancing technological innovation with ethical and user-centered principles.

• Distributed communication networks
• Infrastructure-independent networks
• Aerial communication systems
• +۵ مورد دیگر

Dr. Julian Zobel is a postdoc researcher at the Adaptive Communication Systems research group within the Department of Electrical Engineering and Information Technology at the Technical University of Darmstadt. He completed his computer science studies at TU Darmstadt and worked as a research assistant from 2018-2022 before finishing his PhD in 2023 with a thesis focused on autonomous applications of aerial communication networks in disaster situations. His research interests include: Distributed and infrastructure-independent communication networks Aerial communication support and network monitoring Satellite networks Disaster response communication systems Wireless sensor networks for emergency scenarios Dr. Zobel's recent publications demonstrate a strong focus on improving communication resilience in disaster scenarios through innovative approaches involving UAVs, satellite communication, and network monitoring systems. His work bridges theoretical networking concepts with practical implementations for emergency response situations, with particular emphasis on infrastructure-independent solutions that can operate when traditional communication systems fail. His research spans multiple technical domains including protocol design, network resilience, and field testing of communication systems in realistic environments. He has supervised over 25 Master's and Bachelor's theses on topics related to his research. Notable students include Jakob Karg (KOM Award for Best Master's Thesis 2019) and Lukas Wehrstein (KOM Award for Best Bachelor's Thesis 2022). His advisees have worked on projects ranging from UAV-based network topology monitoring to low-power communication protocols for emergency crisis communication. Dr. Zobel maintains an active research profile with publications spanning conferences like ISCRAM, IEEE LCN, WONS, and journals like Global Change Biology. His collaborative work includes frequent partnerships with researchers such as Ralf Steinmetz, Björn Scheuermann, and Ralf Kundel. He is currently focused on advancing research in distributed communication networks that can operate independently of traditional infrastructure, with particular attention to satellite communication, UAV-based systems, and network monitoring approaches that can be deployed rapidly in emergency situations.

• Research Management
• Technology Transfer
• Applied Sciences
• +۳ مورد دیگر

Sylvia Kolb is a Research and Technology Transfer Employee at Hochschule Worms (HAW.rlp), a university of applied sciences in Rhineland-Palatinate. She is affiliated with the Central administration and contributes to research initiatives such as those managed through the Hermann Hoepke Institute. Her role focuses on facilitating technology transfer, research collaboration, and innovation management. While no explicit academic department affiliation is stated, her work intersects with the university’s engineering, biotechnology, and applied science programs. Key responsibilities include supporting research projects, managing partnerships with industry and academia, and overseeing initiatives like the Biogenic workshop and FDM@HAW.rlp (Research Data Management). Her activities align with institutional goals in climate protection, renewable energy, and sustainable technology. No formal education details, grants, or advising records are explicitly listed in the provided text. Her contributions are centered on administrative and strategic support for research endeavors.