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Markus ReuterView profile

Researcher

• Paleontology
• Coral Reef Ecology
• Climate Change Research
• +3 more

PD Dr. Markus Reuter is a Researcher at the Department of Paleontology, University of Greifswald, Faculty of Mathematics and Natural Sciences. His work focuses on paleoclimatology, marine biodiversity, and sedimentology, with a particular emphasis on coral reefs and their response to environmental changes. Studied coral growth patterns as climate archives (Middle Eocene Climatic Optimum) Analyzed giant clam distributions in the Gulf of Oman Investigated Miocene biodiversity assembly in Sri Lanka and Iran His research spans topics including tectonic influences on coastal landscapes, stable isotope analysis in reef corals, and biogeographic shifts in marine fauna. He collaborates across disciplines to reconstruct past climates and understand modern ecological trends. Selected scientific contributions include: Co-author on high-impact studies in Science Advances and Biogeosciences Key work on Cenozoic coral calcification and Tethyan Seaway closure Paleoenvironmental reconstructions in the Mediterranean, Oman, and India

• Electron Microscopy
• In-situ TEM
• Machine Learning in Material Science
• +6 more

Dr. Junbeom Park is a Staff Scientist in the Institute of Energy Technologies (IET-1) at Forschungszentrum Jülich, Germany, and a member of the In-situ Electron Microscopy (iEM) group . His work focuses on advanced electron microscopy techniques, data processing, and electrochemical material characterization. PhD in Chemical Engineering from Pohang University of Science and Technology (POSTECH), South Korea Current focus on in-situ TEM for low-temperature water electrolysis and solid-state battery materials Key skills: Python-based image processing, 4D STEM analysis, FIB/SEM, and machine learning for microscopy data Research Interests span electron microscopy , in-situ TEM , machine learning in material science , and nanoscale characterization . His work bridges fundamental structural analysis with applications in energy storage and conversion. Trends in Recent Publications emphasize quantitative in-situ liquid-phase TEM , electrochemical mechanism visualization , and automation-driven data analysis . Topics include solid electrolyte interfaces , metal electrodeposition , and nanoscale process optimization . Professional Roles : Chair of Materials Division, VeKNI (2024–Present) Member, K-TAG Europe (2025–Present) Session Chair at Europe-Korea Conferences (2024, 2025) Team Affiliations include collaboration with the iEM group at Forschungszentrum Jülich, specializing in environmental TEM and data-intensive material analysis .

Claus-Jochen HaakeView profile

Professor

• Microeconomics
• Game Theory
• Mechanism Design
• +3 more

Prof. Dr. Claus-Jochen Haake serves as Chair of Microeconomics at the Faculty of Economics, Department 4: Economics at the University of Paderborn. His research focuses on game theory , mechanism design , and fair division with applications in economic modeling and dynamic markets. Academic Profile: Professor of Microeconomics Institution: University of Paderborn Research Focus: Game theory and microeconomic applications Teaching: Core microeconomic principles and advanced topics like auctions and matching theory Current research explores theoretical solutions to practical problems at the intersection of optimization and strategic interaction. His work appears in journals like the Scandinavian Journal of Economics and Journal of International Management , focusing on bargaining theory and market design. Teaching activities include Grundzüge der Volkswirtschaftslehre - Mikrotheorie (undergraduate) and graduate courses like Auctions, Incentives, Matchings and Advanced Microeconomics . He supervises theses in microeconomic topics, particularly game theory and fair division. His team develops the educational project "Would you like to play? - Hands-on Game Theory" , making game theory concepts accessible through playful engagement. The chair's office is located at Q4.349, Warburger Str. 100, Paderborn.

Frank SchafmeisterView profile

Professor

• Power Electronics
• Electrical Drive Technology
• Renewable Energy Systems
• +3 more

Dr.-Ing. Frank Schafmeister is a faculty member at the University of Paderborn, affiliated with the Faculty of Electrical Engineering, Computer Science and Mathematics. He serves as Acting Professor of Power Electronics and Electrical Drive Technology at the Institute of Electrical Engineering and Information Technology. Department: Power Electronics and Electrical Drive Technology (LEA) Email: schafmeister@lea.uni-paderborn.de Location: Pohlweg 55, 33098 Paderborn, Germany (Space E4.310) Research Interests: His work focuses on power electronics, electrical drive technology, and high-frequency converter systems. Key areas include LLC resonant converters, ferrite material characterization, and inverter design for automotive applications. Publication Trends: Recent articles emphasize advancements in high-frequency power converters, automotive electrification, and electromagnetic modeling. Topics span from voltage ripple mitigation to finite element method (FEM) analysis of magnetic components. Key Projects: NeMo.bil – System of cooperating vehicles for individualized public transport

Regine KalkaView profile

Professor

• Digital Marketing
• Brand Management
• Pricing Strategy
• +3 more

Regine Kalka is a Professor of Business Administration with a focus on Marketing and Communication at the University of Applied Sciences Düsseldorf since 2003. She teaches courses in Marketing Management, Product and Pricing Policy, and Brand & Corporate Communication across the Bachelor and Master programs in Business Administration and International Management. Educational Background Diplomkauffrau in Business Administration, University of Trier (1989–1993) Doctorate (Dr. rer. soc. oec) from Vienna University of Economics and Business (1993–1995) Her research centers on Digital Communication , Pricing Strategies , and Brand Management , with a particular interest in behavioral pricing, customer retention, and trade show marketing. Recent publications explore topics like Personalized and Dynamic Pricing , Corporate Purpose in Marketing , and Subscription Models in the Automotive Industry . Key themes in her 15 most recent articles include: digital disruption in pricing, customer-centric marketing frameworks, stakeholder communication in crises, and trade show innovation. Awards include the Günther Rid-Stiftung Scholarship for retail research. She actively collaborates with industry partners on practice projects, such as analyzing customer journeys for trade shows and developing communication campaigns for brands like Deutsche Telekom and Fortuna Düsseldorf .

• Causal Inference
• Knowledge Graphs
• Graph Neural Networks
• +3 more

Hao Huang is a research associate in the Scientific Data Management research group at the German National Library of Science and Technology (TIB) and a doctoral student in computer science at Leibniz University Hannover. Huang's educational background includes: Bachelor's degree in Information Security from Hunan University of Science and Technology Master's degree in Computer Science from South China University of Technology Master's degree in Data Science from the University of Nantes Huang's research focuses on causal inference and causal representation learning in knowledge graphs, along with graph neural networks. His previous work includes topic models, ontology learning, and genetic algorithms. He actively contributes to: TrustKG (funded by the Leibniz Association) CLARIFY (an EU-funded project) Huang's publications, available on ResearchGate and Google Scholar, demonstrate expertise in causal reasoning within knowledge representation systems and advanced graph-based machine learning architectures. His scientific contributions span: Development of causal representation learning methods for knowledge graphs Innovations in graph neural network applications Ontology learning and topic modeling techniques Huang maintains active research collaborations through major funded projects at the intersection of artificial intelligence, knowledge representation, and scientific data management.

Norbert NeußView profile

Professor

• Media Education
• Early Childhood Education
• Digital Media in Pedagogy
• +3 more

Prof. Dr. Norbert Neuß is a leading academic at Justus Liebig University Giessen, holding the Professorship for Childhood Education - Elementary Education within the Department of Social and Cultural Sciences. His work focuses on media education , digital media in early childhood , and professionalization of childcare systems . Key research areas include media literacy , child development , and educational policy Active in public discourse through media appearances and legislative commentary His 2021 podcast on social media for children sparked national debates, while his edited publications like Grundwissen Krippenpädagogik (2013) set practical standards. He developed 15+ key lectures covering topics from children's drawings (2021) to invisible friends (2021), all emphasizing pedagogical interpretation and developmental support . Scientific awards include funding from German League for Children/BMFSFJ for media education projects. His 2012 "Thesen zur Professionalisierung" advocated for systemic reforms in early childhood education, including a National Qualification Framework.

• Religious studies
• Socio-spatial analysis of religion
• Urban religion studies
• +4 more

Apl. Prof. Dr. phil. Christa Frateantonio is a Lecturer for Special Assignments at the Institute for Religious Studies (Leibniz University Hannover) since 2012. She holds a private lecturer qualification from the University of Marburg (2009) and has held various visiting professorships in Ancient History and Religious Studies at universities including Giessen, Erfurt, and Munich. Her affiliations include membership in the German Association for Religious Studies (DVRW) and the Scientific Advisory Board of the Journal for Young Religious Studies (ZjR). Ph.D. in Religious Studies (University of Tübingen, 1998) Habilitation in Religious Studies (University of Marburg, 2010) Studied at universities of Bielefeld, Freiburg, and Tübingen Her research focuses on religious transformation processes through industrialization and urbanization. Key areas include urban religious pluralism , museum contexts of religious objects , and secular burial cultures . She examines how religious spaces and practices adapt to modernity, with publications analyzing yoga studios as urban religious phenomena and church-to-funeral-hall conversions. Teaching emphasizes Christian beliefs , ancient religious historiography , and modern religious pluralism . Her 15 most recent publications (2000-2017) span topics from Roman law-religion dynamics to digital indexing projects, reflecting interdisciplinary engagement with classical archaeology, museum studies, and contemporary funeral culture. Co-editor of "Religion, Space, Nature: Religious Studies Explorations" (2017) Collaborated with Landesmuseum Hannover and Museum August Kestner on religious object provenance studies Developed e-campus modules for Ancient Studies at Giessen University Active in academic service as BAföG representative and member of multiple scholarly organizations, Frateantonio connects historical analysis with modern religious practice through systematic field research and transdisciplinary collaboration.

• Distributed Systems
• Service-Oriented Computing
• Cloud Computing
• +4 more

Winfried Lamersdorf is a full professor in the Department of Computer Science at the University of Hamburg , leading the Distributed Systems (VSIS) research unit. His career spans from IBM's European Networking Centre to leading numerous DFG, EU, and industry-funded projects. Major research interests include: Service-oriented computing (SOA, Web Services) Mobile and ubiquitous systems Agent-oriented software construction Self-organizing systems Context-aware middleware Cloud/edge computing Applications in E-Health, Smart Cities, and Industrial Informatics Recent projects like SANE (Smart Networks for Citizen Participation), CloudAware (context-adaptive mobile cloud systems), and FYPA²C (future production automation) highlight his focus on urban data spaces, energy-efficient mobile systems, and evolutionary software management. His scientific contributions span 200+ publications, with 15 recent articles covering topics such as: Complex event processing Decentralized blockchain coordination Context-aware computation offloading Model-driven production system evolution BDI agent architectures Service composition patterns Advising over 20 PhD students including Heiko Bornholdt (Smart Cities), Philipp Kisters (Distributed Platforms), and Gabriel Orsini (Mobile Clouds, 2016), Lamersdorf has shaped research in distributed applications through long-term collaborations with institutions like TU Munich, HSU Hamburg, and international IFIP committees.

Yuetian MaoView profile

Researcher

• Intelligent Software Engineering
• Query Refinement
• Code Search
• +3 more

Yuetian Mao is a Doctoral Candidate and Research Associate at the Technical University of Munich (TUM), affiliated with the TUM School of Computation, Information and Technology (CIT). He holds a Master's degree in Software Engineering from Shanghai Jiao Tong University (2020-2023) and a Bachelor's degree in the same field from the same institution (2016-2020). His research focuses on Intelligent Software Engineering and Query Refinement , particularly in the application of large language models (LLMs) to code search and optimization tasks. His work addresses challenges in Code Vulnerability Detection , GUI Testing Simulation , and LLM-based Tool Use for software development. Recent publications analyzed include topics in Code Search , Query Reformulation , HiveQL Anti-patterns , and LLM-enhanced Software Engineering . His research also intersects with Human-Centric AI , Accessibility Testing , and Automated GUI Repair . Scientific Awards : Hypergryph Scholarship (2021.11) The First Prize Graduate Study Scholarship (2020.9, 2021.9, 2022.9) Yuetian is part of the Chair of Software Engineering & AI at TUM's Heilbronn campus, contributing to projects in Model Context Protocols , Generative Engine Optimization , and EU AI Act Compliance research.

Hao XingView profile

Researcher

• Robot Vision
• Human Action Recognition
• Human-Object Interaction Recognition
• +4 more

Hao Xing is a scientific researcher and post-doctoral fellow at the Institute for Cognitive Systems (ICS), Technical University of Munich (TUM), working with Prof. Gordon Cheng since May 2024. Previously, he served as a research assistant at the Munich Institute of Robotics and Machine Intelligence (MIRMI) and completed his PhD under Prof. Darius Burschka from 2019. His educational background includes: Master of Science in Mechanical Engineering from Technical University of Munich Bachelor of Engineering in Mechanical Engineering from Hefei University of Technology, China Xing's research focuses on Robot Vision , Human Action Recognition , and Graph Convolutional Networks , with significant contributions to Human-Object Interaction Recognition , Scene Understanding , and Visual Depth Estimation . His work leverages machine learning to develop robust algorithms for human activity analysis and robotic perception, emphasizing spatio-temporal modeling and uncertainty handling in real-world scenarios. Analysis of his 13 recent publications (2019-2025) reveals a dominant focus on graph-based approaches for action recognition and segmentation, with increasing emphasis on open-world applications, uncertainty modeling, and healthcare integration. His research spans computer vision, robotics, and medical applications, demonstrating strong interdisciplinary impact through collaborations in surgical robotics and patient monitoring systems. Xing actively mentors students through master's thesis projects in Stereo Matching, Human Activity Segmentation, and Monocular Depth Estimation, requiring expertise in deep learning frameworks and computer vision algorithms. While no major grants are explicitly mentioned, his thesis topics indicate active research funding in geometric vision and human activity analysis. He operates within the Institute for Cognitive Systems (ICS) at TUM, a key unit in MIRMI's robotics ecosystem focused on advancing human-robot interaction through vision-based scene understanding and motion generation capabilities.

David BertermannView profile

Researcher

• Geothermal Energy
• Applied Soil Science
• Hydrology
• +3 more

Dr. David Bertermann is a Researcher at the Chair of Geology within the GeoCenter Northern Bavaria at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU). His work focuses on shallow geothermal energy systems, applied soil science, and hydrological modeling, with an emphasis on sustainable energy solutions and environmental data analysis. University: Friedrich-Alexander-Universität Erlangen-Nürnberg Department: Chair of Geology Role: Research Group Leader, Shallow Geothermal Energy Dr. Bertermann's research integrates geospatial data, soil properties, and groundwater dynamics to optimize geothermal systems. His recent publications highlight topics such as groundwater-geothermal interactions, thermal conductivity modeling, and GIS-based potential mapping. He collaborates on European projects like Cheap-GSHPs, focusing on efficient ground source heat exchangers and large-scale geothermal collector systems. Key journals include Groundwater , Energies , Geosciences , and Sustainability . His work bridges geological data with practical energy solutions, emphasizing climate resilience and resource sustainability. Dr. Bertermann is based at FAU's GeoCenter Northern Bavaria in Erlangen, Germany, and actively contributes to geothermal research through field experiments, laboratory testing, and cross-institutional collaborations.

Riccardo MasseiView profile

Researcher

• Ecotoxicology
• Toxicology
• Computational Biology
• +3 more

Dr. Riccardo Massei is a Scientist and Co-PI at the Helmholtz Centre for Environmental Research – UFZ , Leipzig, since July 2023. He serves as a Data Steward in the NFDI4BIOIMAGE initiative for high-content screening (HCS) data management and metadata annotation in toxicology and ecotoxicology. Previously, he held postdoctoral positions at UFZ's Department of Bioanalytical Ecotoxicology (2021–2023) and the Department of Veterinary Sciences at the University of Antwerp (2020–2021). Education: Doctoral degree in Natural Sciences (2018) from RWTH Aachen, focusing on pesticide mixtures and neuroactive chemicals in EU river basins. Research Expertise: Development of automated workflows for HCS data, metadata analysis, and FAIR-compliant image data storage using Python, KNIME, and Galaxy. His research spans ecotoxicology, computational biology, and environmental analytical chemistry , with over 30 publications since 2015. Recent work focuses on high-throughput effect-directed analysis, zebrafish embryo toxicity testing, and data-driven toxicology , particularly in the 2025_nanoINHALE and 2024_SafePol projects. Scientific achievements include the Young Scientist Award at SETAC 2016 and leadership in organizing sessions on "Fish model species in toxicology" since 2017. His publications cover topics like neurotoxicity of complex environmental mixtures biotransformation impacts on chemical toxicity automated behavioral assays for embryos sediment contamination analysis genotoxicity assessment in water systems Dr. Massei administers UFZ's OMERO instance and provides advisory services for research data management (RDM) concepts in toxicology.

Philipp E. ZaehView profile

Professor

• Corporate Valuation
• International Accounting Standards (IFRS/US-GAAP)
• Auditing Standards
• +6 more

Prof. Dr. Philipp E. Zaeh serves as Professor of Corporate Accounting and Taxation and Head of the Department of Finance & Accounting at the Hamburg School of Business Administration (HSBA). He concurrently directs the Hamburg Institute of Management & Finance (HIMF), providing consulting services in accounting and finance to diverse companies since 2007. He earned his business administration degree from the University of Erlangen-Nuremberg in 1993, followed by doctoral studies at the University of Hamburg where he served as research assistant for four years, completing his PhD in 1997. His research centers on International Accounting Standards (IFRS/US-GAAP), Corporate Valuation (particularly intangible assets), Auditing Standards, Internal Audit methodologies, Risk Management (focusing on interest/currency risks), and Cost Management techniques like Target Costing. His work bridges theoretical frameworks with practical corporate applications, emphasizing risk-oriented approaches in financial reporting and auditing. Publication trends reveal an evolution from technical auditing models (early 2000s) toward contemporary finance topics including blockchain applications, European FinTech developments, venture capital strategies, and alternative funding mechanisms like crowdfunding. This progression demonstrates sustained engagement with emerging challenges in financial markets and regulatory environments. No scientific awards are documented in the available materials. With over 25 years of industry experience including KPMG, private equity leadership, and CFO roles in shipping, he integrates practical insights into academia. He actively mentors entrepreneurs as HTGF coach since 2010 and serves on the Innovationsstarter Fonds Hamburg investment committee since 2011. He leads HSBA's Department of Finance & Accounting while directing HIMF's consulting operations, and organizes the annual HSBA Finance Conference that connects academic research with industry practice through expert discussions on current financial topics.

Detlef ArendView profile

Researcher

• Machine Learning
• Reinforcement Learning
• Scientific Software Development
• +3 more

Detlef Arend is a Research Associate at the Department of Electrical Power Engineering, South Westphalia University of Applied Sciences. He specializes in Machine Learning, Reinforcement Learning, and Scientific Software Development with a focus on automation and sustainability. Research Interests: Machine Learning Reinforcement Learning Scientific Software Development Sustainable AI Applications Automation Technology Recent Article Trends: His work centers on the MLPro framework, advancing reinforcement learning, game theory, and simulation tools for production systems in Python. Topics include online-adaptive control, cluster-based anomaly detection, and standardized ML development. Advising: He has supervised multiple Master's and Bachelor's theses on topics like adaptive state-based systems, anomaly detection, and PID control. Students include Laxmikant Shrikant Baheti, Syamraj Purushamparambil Satheesh Kumar, and Bilal Loukili. Labs & Teams: Affiliated with the Laboratory for Automation Technology and Learning Systems in Soest, contributing to projects like MLPro and MLPro-MPPS.