جست‌وجوی استاد و پژوهشگر

Hans Joachim Linkeمشاهده پروفایل

استاد

• Land Management
• Urban Development
• Climate Change Adaptation
• +۵ مورد دیگر

Hans-Joachim Linke is a Professor of Land Management at the Technical University of Darmstadt (TU Darmstadt) in the Department of Civil Engineering and Geodesy. Since 2002, he has led research on urban development, land management, and sustainability. He concurrently serves as Academic Director of the MSc program in Sustainable Urban Development at the Vietnamese-German University in Ho Chi Minh City (since 2013). Previously, he was a project leader at LEG Landesentwicklungsgesellschaft NRW GmbH (1997–2002) and a researcher at the University of Bonn (1990–1997). His education includes a degree in Surveying Engineering from the University of Bonn (1982–1988) and preparatory service for higher surveying administration in North Rhine-Westphalia (1988–1990). Research Focus: Linke investigates demographic shifts, climate adaptation in cities, infrastructure for rapidly urbanizing areas (especially Southeast Asia), land management tools, real estate determinants, and GIS applications. His work emphasizes participatory approaches, sustainable resource use, and policy integration across environmental and urban systems. Publication Trends: Recent articles (2020–2025) reveal a strong emphasis on sustainable land and water management, digital tools for urban planning, and climate resilience. Key themes include water reuse systems, AI/remote sensing in land assessment, participatory disaster resilience, and institutional analyses of land policies. Cross-disciplinary approaches integrate environmental engineering, geospatial tech, and socio-economic factors. Leadership & Service: He has held multiple university leadership roles, including Dean (2007–2011) and Vice Dean (2011–present) of Civil Engineering and Geodesy. External commitments include editorial roles for Flächenmanagement und Bodenordnung , committee memberships in geodesy and infrastructure organizations, and advisory positions for rural planning academies.

Rainer Kikoمشاهده پروفایل

استاد

• Marine Biogeochemistry
• Zooplankton Dynamics
• Ocean Deoxygenation
• +۷ مورد دیگر

Professor Rainer Kiko is a Heisenberg Professor and Make Our Planet Great Again Laureate at GEOMAR Helmholtz Centre for Ocean Research Kiel, where he leads research in Marine Biogeochemistry. His work focuses on understanding how global change impacts marine life distribution and activity, with significant implications for oceanic oxygen dynamics, nutrient cycles, and carbon dioxide transfer from the atmosphere to the deep sea. Kiko's research integrates augmented image observations that combine autonomous camera and environmental sensor systems with state-of-the-art artificial intelligence solutions and ecophysiological approaches to study zooplankton and detrital particle dynamics in a changing ocean. His primary research areas include marine carbon cycling, oxygen minimum zones, zooplankton dynamics, and the development of imaging technologies for marine observations. He leads several major projects including Imaging Marine life in an Ocean of Change (IOChange) funded by the Heisenberg Program of the German Research Foundation, and the Tropical Atlantic Deoxygenation project as part of the Make Our Planet Great Again initiative. His recent publications reveal a strong focus on marine particle dynamics, carbon export mechanisms, and the role of zooplankton in biogeochemical cycles, with particular attention to oxygen minimum zones and the impacts of climate change on marine ecosystems. Kiko employs advanced imaging technologies and machine learning approaches to address fundamental questions about the biological pump and ocean carbon sequestration. Among his notable recognitions are the prestigious Heisenberg Professorship from the German Research Foundation and the Make Our Planet Great Again Laureate award. His work has been published in high-impact journals including Nature Geoscience, Nature Communications, and Global Biogeochemical Cycles. Kiko mentors several researchers including Dr. Joelle Habib (Postdoc at Laboratoire d'Océanographie de Villefranche), Dr. Xiangyu Weng (Machine Vision specialist), Simon-Martin Schröder (computer scientist), and Claudeilton "Claus" Santana (PhD student). His research group develops innovative approaches combining deep learning, in situ imaging, and citizen science to resolve marine ecological questions across multiple scales.

Björn Kieferمشاهده پروفایل

استاد

• Continuum mechanics
• Constitutive modeling
• Active and multifunctional materials
• +۱۰ مورد دیگر

Professor Björn Kiefer, Ph.D. serves as Professor of Engineering Mechanics – Solid Mechanics at the Institute of Mechanics and Fluid Dynamics, Freiberg University of Mining and Technology, Germany. His academic career spans prestigious institutions including TU Dortmund University and the University of Stuttgart in Germany, and Texas A&M University in the USA. His educational background includes: PhD in Aerospace Engineering from Texas A&M University (2006), with doctoral thesis "A Phenomenological Constitutive Model for Magnetic Shape Memory Alloys" under Dr. Dimitris C. Lagoudas Diploma in Mechanical Engineering/Applied Mechanics from Ruhr University Bochum (2001), with diploma thesis "Revisit and Characterization of a Thermomechanically Coupled Constitutive for the Description of Polycrystalline Shape Memory Alloys" under Prof. Dr.-Ing. Otto T. Bruhns Professor Kiefer's research expertise centers on continuum mechanics with geometric and physical nonlinearities, constitutive modeling of active materials, and electromagnetic-mechanical coupling phenomena. His work integrates computational mechanics, micromechanics, and multiscale modeling approaches to address complex problems in phase transformations, plasticity, damage mechanics, and fracture analysis. His research has significant applications in developing advanced multifunctional materials for engineering systems. His scientific recognition includes: Elected Fellow of ASME (2021) Multiple invited professorships in France Prestigious early-career recognition programs Graduate student awards including best paper presentation Professor Kiefer actively contributes to the academic community as Treasurer (and former Secretary 2020-2021) of the ASME Aerospace Division's Adaptive Structures and Material Systems Branch since 2011. He serves on technical committees for active materials and adaptive systems, and reviews for numerous top-tier mechanics journals. He has organized multiple international conferences including symposia at ASME events and GAMM meetings, demonstrating leadership in his field. His teaching portfolio includes Continuum Mechanics, Higher Strength Theory, Plasticity, and core Technical Mechanics courses covering statics and strength of materials.

Lifu Changمشاهده پروفایل

پژوهشگر

• Semiconductor Engineering
• Electronic Design Automation
• Design for Manufacturability
• +۳ مورد دیگر

Lifu Chang is a Researcher at the University of Southern California (USC) Information Sciences Institute (ISI), serving as Director of The MOSIS Service. He leads semiconductor manufacturing and yield enablement initiatives, bridging research and industry collaborations with top foundries. Ph.D., Solid State Electronics, Purdue University (1996) 20+ years in semiconductor device/process technology, EDA, DFM, and design-yield optimization Pioneered DFM technology at Clear Shape Technologies; built DFM teams at SMIC and Qualcomm Developed industry-standard EDA tool flows for metal density gradients, via redundancy, OPC analysis Active in SPIE as committee member for Design and Process Technology Co-Optimization Program His research focuses on semiconductor design-process co-optimization, advanced lithography (EUV), and 3DIC processes. With nearly 50 publications and multiple patents, his work drives yield enhancement in nanoscale chip manufacturing. Recipient of AAAS Elected Membership Award (2001) Senior Member of IEEE

Thomas Wöhlingمشاهده پروفایل

پژوهشگر

• Integrated environmental systems modeling
• Surface water-groundwater interactions
• Braided river systems
• +۹ مورد دیگر

PD Dr. habil. Thomas Wöhling serves as a Senior Research Scientist and Team Leader for Stochastic Modelling of Hydrosystems at the Chair of Hydrology, Dresden University of Technology's Faculty of Environmental Sciences. His research spans integrated environmental systems modeling with particular expertise in surface water-groundwater interactions, braided river systems, and vadose zone processes. Previously, he held research positions at Water and Earth System Sciences Competence Cluster in Tübingen (2010-2015) and Lincoln Environmental Research in New Zealand (2006-2010). Dr. Wöhling completed his Dipl.-Hydrol. (1999) and PhD in Hydrology (2005) at Dresden University of Technology, followed by habilitation in Stochastic Hydrology (2021). His educational background includes extensive research at the Institute of Hydrology and Meteorology at TU Dresden (1999-2005) where he developed foundational expertise in hydrological modeling. Wöhling's research focuses on integrated modeling of coupled environmental systems , particularly flow and contaminant transport in surface water-groundwater systems, nutrient and energy fluxes in soil-plant-atmosphere systems, and distributed hydrological modeling. His work emphasizes stochastic modeling and uncertainty analysis , with significant contributions to inverse modeling, model calibration, multiobjective optimization, and Bayesian model averaging techniques. He has pioneered methods for evaluating monitoring network worth and data utility for environmental models. His publication record demonstrates consistent contributions to hydrological science, with recent work (2023-2025) focusing on machine learning applications in hydrology, advanced statistical inversion techniques, and complex karst system modeling. Key trends include integration of physics-based and data-driven approaches, improved uncertainty quantification methods, and applications to climate change impacts on water resources. His work bridges theoretical advances with practical applications in New Zealand's braided rivers and European hydrological systems. STAHY Best Paper Award (2018) ASCE Journal of Irrigation and Drainage Engineering Best Reviewer Awards (2008, 2010, 2011, 2015, 2018) ASCE Journal of Irrigation and Drainage Engineering Best Paper Awards (2008, 2009) Dr. Wöhling leads the Stochastic Modelling of Hydrosystems team and has secured funding for numerous projects including Klimakonform, ISOSIM, VAMOS II, and the International Research Training Group 'Integrated Hydrosystem Modelling.' His work combines novel monitoring techniques with modeling and optimal sensor placement to improve prediction reliability for river-groundwater exchange fluxes. He collaborates extensively with international partners, particularly in New Zealand through the Lincoln Agritech's Braided Rivers program. His laboratory work focuses on combining traditional hydrological measurements with advanced computational techniques, including deep learning applications for soil surface hydrology and time-windowed Bayesian analysis for predictive modeling. The team maintains strong connections with field sites in Germany's Saxon region and New Zealand's Canterbury Plains, facilitating integrated theoretical and empirical research approaches.

Christoph Gilleمشاهده پروفایل

استاد

• Social Work
• Poverty and Social Exclusion
• Civil Society Engagement
• +۴ مورد دیگر

Christoph Gille is a Professor of Social Work in Contexts of Poverty and Exclusion at the University of Applied Sciences Düsseldorf since 2022. He holds leadership roles as co-leader of the FNuST Research Centre and study program director for the Bachelor's in Social Work. His work focuses on poverty research, civil society engagement, and transnational social policy. Research Interests : Poverty and social exclusion, civil society engagement, international social work, housing and drug policy, participatory research methods, far-right influence on social services. Recent Projects : Open Drug Scene Survey NRW 2024 , Engagement Against Exclusion (ESA) , and Discrimination in Housing Markets (DiWo) . Publications : Co-author of Offene Drogenszenen in NRW (2025) and Selbstvertretung in der Armutsbekämpfung (2024), among others in open-access formats. Teaching : Courses on unemployment, social policy theories, and transnational social work, including international collaborations with Antwerp and The Hague universities. Advocacy : Regular speaker on far-right challenges to social work, poverty participation structures, and housing rights at national and international conferences.

He Binمشاهده پروفایل

استاد

• Diamond and related materials
• Thin film technology
• Nanostructures and applications
• +۶ مورد دیگر

Professor He Bin is Dean of the Department of Materials Science and Engineering at the Shenzhen University of Technology , where he has served since 2025.01. He is a core member of the Guangdong Provincial Higher Education Crystal Growth and Application Engineering Technology Center and recognized as a Shenzhen Overseas High-Level Talent . Previously, he was an Associate Professor at Shenzhen University of Technology (2018-2025) and held research positions at Southern University of Science and Technology and University of Hong Kong. PhD in Materials Physics and Chemistry from Beijing University of Technology (2008) Bachelor in Materials Forming and Control Engineering from China University of Petroleum (1998) His research focuses on diamond and related materials , thin film technology , and nanostructures , with applications in thermal management , photoelectrocatalysis , precision tooling , cultured diamond , 3D printing , and ultra-wide bandgap semiconductors . Recent publications highlight advancements in photoelectrochemical systems , electrocatalytic water splitting , and surface engineering . Scientific achievements include: Shenzhen University of Technology Major Project and Scientific Research Platform Construction Award (2019) First Prize for High-level Paper (2018) Peacock Talents Category C (2018) He has secured over 20 research grants, including projects from the Shenzhen Higher Education Stable Support Program and Guangdong Province Characteristic Innovation Projects. His work spans 12 representative papers , 3 book chapters , and 6 national patents in diamond-based technologies and heterojunction systems.

Heiner Giefersمشاهده پروفایل

استاد

• Cloud Computing
• Hardware Acceleration
• Field-Programmable Gate Arrays
• +۷ مورد دیگر

Heiner Giefers is a Professor for Cloud Computing at the Department of Computer Science and Natural Sciences at Southwestphalia University of Applied Sciences since 2018. Prior to this position, he worked as a Research Staff Member at IBM Research - Zürich (2013-2018), focusing on hardware acceleration in cloud environments, implementation of big data algorithms on FPGAs, and development of hardware platforms for approximate and in-memory computing. Dr. Giefers received his doctorate (Dr. rer. nat.) from Universität Paderborn in 2012 with a dissertation titled "Design and Programming of Reconfigurable Mesh based Many-Cores." His academic journey at Universität Paderborn includes serving as an Academic Council Member (Akademischer Rat a.Z.) from 2008-2013 and as a Scientific Staff Member from 2006-2012, where he taught digital technology and computer architecture. Professor Giefers' research focuses on energy-efficient computing, particularly through hardware acceleration using FPGAs for cloud and AI workloads. His work spans cloud computing infrastructure, hardware-software co-design, approximate computing, in-memory computing, and energy-efficient implementations of machine learning algorithms. He has made significant contributions to the field of reconfigurable hardware for high-performance computing applications. His recent publications show a strong trend toward applying hardware acceleration techniques to artificial intelligence and machine learning workloads, with a particular focus on energy efficiency. His work bridges the gap between theoretical computer science and practical hardware implementation, often resulting in patented technologies that address real-world computing challenges in cloud environments. Best Paper Award for "Stochastic Matrix-Function Estimators: Scalable Big-Data Kernels with High Performance" (2016) Best Paper Award Nomination for "Energy-Efficient Stochastic Matrix Function Estimator for Graph Analytics on FPGA" (2016) Best Paper Award Nomination for "Analyzing the energy-efficiency of dense linear algebra kernels by power-profiling a hybrid CPU/FPGA system" (2014) Best Paper Award Nomination for "A Triple Hybrid Interconnect for Many-Cores: Reconfigurable Mesh, NoC and Barrier" (2010) Professor Giefers actively supervises numerous Bachelor's and Master's students, with over 50 completed theses covering topics from machine learning and cloud computing to IoT systems and hardware acceleration. He leads the "Energy-efficient AI" project (eki), which aims to increase the energy efficiency of AI systems through approximation techniques for FPGA implementation. Additionally, he collaborates with Prof. Dr. Christian Plessl on the "Digital teaching materials with Jupyter Notebooks" project, creating interactive learning materials that integrate teaching content, program code, and results into a single document. His work extends to practical applications through multiple patents related to FPGA implementations, neural networks, and memory systems, demonstrating his commitment to translating research into real-world solutions.

Marc Teboulleمشاهده پروفایل

استاد

• Continuous Optimization
• Convex Optimization
• Complexity Analysis of Optimization Algorithms
• +۵ مورد دیگر

Marc Teboulle is a distinguished Professor holding The Eric and Sheila Samson Chair of Optimization in the School of Mathematical Sciences at Tel Aviv University. With a career spanning over three decades, he has established himself as a leading figure in optimization theory and applications. His work bridges theoretical foundations with practical implementations across multiple scientific domains. Professor Teboulle's research focuses on continuous optimization, with particular emphasis on convex optimization, complexity analysis of algorithms, Lagrangian and dual decomposition methods, variational inequalities, and nonconvex nonsmooth large-scale optimization. His work has significant applications in engineering science, machine learning, and finance, demonstrating the interdisciplinary impact of optimization techniques. He has developed novel frameworks for center-based clustering algorithms and contributed to the theoretical understanding of first-order methods beyond traditional Lipschitz gradient continuity assumptions. His publication record shows a clear evolution toward increasingly sophisticated optimization frameworks, with recent work focusing on nonconvex composite optimization, Lagrangian-based methods, and complexity analysis of gradient-based algorithms. The trend indicates growing interest in non-Euclidean geometries for optimization and applications to high-dimensional data problems, reflecting the evolving challenges in modern optimization. As an educator and mentor, Professor Teboulle has supervised numerous PhD and MSc students since 1990, including prominent researchers like Amir Beck, Ron Shefi, and Yoel Drori. His graduate courses include Convex Analysis and Optimization, Advanced Topics in Modern Optimization, Algorithms for Continuous Optimization, and Advanced Seminar in Continuous Optimization. He has been exceptionally active in the academic community, delivering invited lectures at major international conferences from 2003 through 2024 across Asia, Europe, and North America. His book 'Asymptotic Cones and Functions in Optimization and Variational Inequalities' (co-authored with A. Auslender) has become a standard reference in the field, while his edited volume 'Grouping Multidimensional Data: Recent Advances in Clustering' has influenced data science applications.

Jan Salmenمشاهده پروفایل

پژوهشگر

• Machine Learning
• Computer Vision
• Neural Networks
• +۳ مورد دیگر

Dr. Jan Salmen is a researcher at Ruhr University Bochum's Faculty of Computer Science, affiliated with the Institute of Neuroinformatics (INI). His work focuses on real-time systems, computer vision, and machine learning. Doctoral thesis: Efficient video-based driver assistance systems Salmen's research spans autonomous driving, traffic sign recognition, stereo vision, and sports analytics. He has contributed to benchmarks in traffic sign detection and soccer analysis. Publications highlight his expertise in image processing, pattern recognition, and sensor fusion for autonomous systems. Key trends include optimization of machine learning algorithms for real-time applications. He collaborates with interdisciplinary teams at INI, which integrates experimental psychology, neurophysiology, and robotics into artificial cognitive systems research.

Carolin Müllerمشاهده پروفایل

استادیار

• Computational Chemistry
• Molecular Dynamics
• Machine Learning
• +۷ مورد دیگر

Carolin Müller is a Juniorprofessor for the Theory of Electronically Excited States at the Friedrich-Alexander University Erlangen-Nuremberg since November 2023. Previously, she was a Feodor Lynen Postdoctoral Researcher at the University of Luxembourg (June 2022-October 2023) and a Postdoctoral Researcher at Friedrich Schiller University Jena (March 2021-May 2022). Dr. Müller received her B.Sc. (2016) and M.Sc. (2018) in Chemistry from Friedrich Schiller University Jena, followed by her Ph.D. (Dr. rer. nat) in 2021 from the same institution. Her doctoral research focused on "Towards Operando Spectroscopy of Supramolecular Photocatalysts – A Case Study on Ru-dppz-derived Systems" under the supervision of Prof. B. Dietzek-Ivanšić. Dr. Müller's research focuses on the theoretical understanding of photoinduced processes in molecules and materials. Her group (CPC Group) investigates electron transfer processes, isomerization reactions, and excited-state dynamics with the goal of controlling and optimizing light-driven processes for increased reactivity and efficiency. Her work combines computational chemistry, spectroscopy, and machine learning approaches, specifically utilizing methods like TD-DFT, CASSCF, molecular/quantum dynamics, and cheminformatics techniques including SVD, MCR, and global/target lifetime analysis. Her recent publications demonstrate a strong interdisciplinary approach spanning computational chemistry, spectroscopy, and machine learning. Key themes include nonadiabatic molecular dynamics, excited-state simulations, photoswitch design, photocatalysis, and the development of computational tools like KiMoPack for kinetic modeling. Her work often bridges theoretical predictions with experimental validation through close collaboration with spectroscopy research groups. Feodor Lynen Research Fellowship (Alexander von Humboldt Foundation) Thuringian Research Award 2023 for Applied Research Albert-Weller Award (German Chemical Society) Dissertation Award (Faculty of Chemistry and Earth Sciences) FCI Kekulé PhD fellowship As a Juniorprofessor, Dr. Müller leads the CPC Group at FAU, where she mentors students in computational chemistry research. She has developed expertise in combining spectroscopic techniques (resonance Raman, transient absorption, and time-resolved emission spectroscopy) with computational methods and cheminformatics approaches. She also actively contributes to the scientific community through service roles including co-organizing the ESTML 2023 Workshop and serving as an active member in the yPC organization of the German Bunsen Society. Dr. Müller is actively developing the CPC Group research program at the Computer Chemistry Center, focusing on light-induced physical processes and chemical reactions. Her group combines quantum chemistry, chemoinformatics, and experimental spectroscopy to reveal mechanisms behind photoinduced phenomena and optimize light-driven processes.

• Photonics
• Biophotonics
• Optical Microscopy
• +۳ مورد دیگر

Dr. Wolfgang Hübner is a Researcher at the Faculty of Physics at University of Bielefeld, Germany, affiliated with the Biomolecular Photonics Group. His work focuses on advanced optical imaging techniques applied to cellular and molecular structures. He maintains an active research program as evidenced by numerous publications from 2023-2025. His research interests center on photonics, biophotonics, optical microscopy, super-resolution imaging techniques, cellular biophysics, and molecular imaging. Dr. Hübner's work bridges physics and biology, developing and applying cutting-edge microscopy methods to address biological questions at the nanoscale level. His recent publications demonstrate a strong focus on super-resolution microscopy techniques, particularly structured illumination microscopy, fluorescence lifetime imaging, and correlative imaging approaches. His research investigates cellular structures like liver sinusoidal endothelial cells, dystroglycan mutants, and mitochondrial dynamics, revealing how advanced optical methods can visualize biological processes at unprecedented resolution. Dr. Hübner's research shows consistent development in both methodological advances in optical imaging and biological applications. His work spans from fundamental optical engineering to biomedical applications, demonstrating interdisciplinary expertise across physics, engineering, and cell biology.

Arish Sateesanمشاهده پروفایل

استاد

• Computer Engineering
• Network Security
• Hardware Acceleration
• +۳ مورد دیگر

Dr. Arish Sateesan serves as Professor and Chair of the Institute for Networked Systems at RWTH Aachen University's Faculty of Electrical Engineering and Information Technology, located at Kackertstrasse 9 in Aachen, Germany. His research group operates from House C (Room C046) with direct contact via asa@inets.rwth-aachen.de. His primary research domains center on hardware-accelerated network security solutions, specializing in FPGA implementations for high-speed networking. Key focus areas include: Real-time network monitoring and intrusion detection systems Hardware-optimized cryptographic and non-cryptographic algorithms Machine learning integration for wireless beamforming and LiDAR processing Ultra-high-speed flow measurement architectures His work bridges theoretical computer science with practical hardware constraints, emphasizing throughput optimization for security-critical applications. Analysis of his 15 most recent publications (2021-2025) reveals a pronounced shift toward hardware-software co-design for next-generation networks. The research trajectory shows increasing integration of quantized neural networks with traditional security primitives, particularly for mm-Wave and 5G/6G applications. A consistent theme across all publications is the prioritization of hardware friendliness through algorithmic simplification and architectural innovation. As Institute Chair, he leads a research ecosystem focused on developing deployable security solutions for modern network infrastructures, with current projects targeting autonomous vehicle communication systems and infrastructure protection against distributed denial-of-service attacks.

Wolfgang Greinerمشاهده پروفایل

استاد

• Health Economics
• Health Technology Assessment (HTA)
• Quality of Life Research
• +۵ مورد دیگر

Prof. Dr. Wolfgang Greiner, born in 1965, is the Chair of Health Economics and Health Management at Bielefeld University's Faculty of Health Sciences. He has held this position since April 2005 and leads Working Group 5 (Health Economics and Health Management). Current roles: Dean of Faculty, Chairman of Structure and Budget Commission, Habilitation Committee member. Affiliated with Bielefeld Center for Data Science (BiCDaS). His research focuses on health technology assessment , economic evaluation of health services , quality of life metrics , and disease management frameworks . Recent projects include AI-driven clinical decision support systems for sepsis, financial burden analysis for cancer patients, and smart home emergency call system effectiveness. Key awards include the Austrian Prize for Health Economics, Hannover University Science Prize, and Medvantis Research Prize. He serves as Managing Editor of the European Journal of Health Economics and sits on scientific advisory boards for health insurers. His 2025 articles address dengue burden, AI in critical care, and dyslipidemia epidemiology. Earlier works span meningococcal vaccines, HPV disease costs, and chronic disease management in Germany.

Johannes Wolfمشاهده پروفایل

استاد

• Business Administration
• Logistics Management
• Supply Chain Management
• +۴ مورد دیگر

Prof. Dr. Johannes Wolf is a Professor of Business Administration (Dual Study Program) at the Hamburg Distance Learning University (since 2012) and previously served as Chancellor of the university (2013–2020). He also held roles as Professor of Logistics Management and (Founding) Dean of the Logistics Management Department at the European University of Applied Sciences (EUFH) in Brühl. His career includes over 30 years of academic and professional experience in logistics, supply chain management, and business systems. Education: Johannes Wolf holds a doctorate in Business Administration from Fernuniversität Hagen (1986) with a thesis on industrial energy use and production planning, following a degree in Business Administration from the University of Cologne. Research interests focus on logistics management, supply chain optimization, ERP system implementation, dual study programs, and educational frameworks for business and logistics disciplines. He has contributed to over 50 publications, including handbooks and peer-reviewed articles on topics like IT systems in logistics, risk management, and competency development. He is a member of the Federal Association of Logistics (BVL) and the German Informatics Society (GI), and has served as an external expert for institutional accreditation reviews by the German Science Council. Key professional roles include management consultancy work (1993–2003) and early career roles in organizational controlling and energy procurement in industry.