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نمایش ۷۲۱-۷۳۵ از ۵٬۶۲۴ استاد راهنما

اطلاعات پروفایل‌ها از صفحات عمومی دانشگاه‌ها گرفته شده و ممکن است به‌روز نباشد.

Kurt Buschمشاهده پروفایل

استاد

Humboldt UniversityGermany

Prof. Kurt Busch is a Professor of Theoretical Optics & Photonics at Humboldt University of Berlin and Group Leader at the Max-Born-Institute, with prior appointments at Karlsruhe Institute of Technology (2005-2011) and University of Central Florida (2004-2005). His research focuses on light-matter interactions in complex photonic systems, spanning quantum technologies to nanoscale optical phenomena. His educational background includes: Diplom in Physics, Universität Karlsruhe (TH), 1993 PhD in Physics, Universität Karlsruhe (TH) and Iowa State University, 1996 Postdoctoral Research, University of Toronto (Prof. Sajeev John), 1997-2000 Busch's research encompasses quantum photonics, nano-photonics, computational optics, photonic crystals, plasmonics, random media, fluctuation-induced phenomena, and Group-IV photonics. His work combines theoretical modeling with computational approaches to investigate light propagation in disordered and nanostructured materials, with applications in quantum information processing and advanced optical devices. Key methodologies include time-domain simulations and quantum electrodynamics frameworks for non-equilibrium systems. Analysis of his 15 most recent publications (2021-2025) reveals dominant trends in quantum optics (40% of articles), non-Hermitian photonics (25%), and computational nanophotonics (35%). Significant subfield intersections include topological protection in quantum states, Casimir-Polder force engineering, and nonclassical light manipulation via waveguide architectures, reflecting his group's focus on bridging fundamental quantum phenomena with photonic device applications. His scientific awards include: Editor-in-Chief, Journal of the Optical Society of America B (2019) Fellow of the Optical Society of America (2012) Carl-Zeiss Research Award (2006) Teaching Award, KIT Department of Physics (2009) Emmy-Noether Fellow, DFG (2000) While current student advising details are not specified in available materials, his Emmy-Noether fellowship (2000-2003) established his independent research group. Current grant activities likely support his Max-Born-Institute collaborations on photonic nanostructures and quantum friction phenomena, though specific projects aren't detailed in the source text. Busch leads the 'Photonic Nanostructures' research group within Humboldt University's Theoretical Optics & Photonics Department, maintaining strong ties to the Max-Born-Institute for collaborative experimental-theoretical work. His team specializes in computational modeling of quantum optical effects in plasmonic systems and topological photonic structures, utilizing high-performance computing resources for electromagnetic simulations and quantum dynamics calculations.

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Daniele Cattaneoمشاهده پروفایل

پژوهشگر

Albert Ludwig University of FreiburgGermany

Dr. Daniele Cattaneo is a Junior Research Group Leader at the Robot Learning Lab (University of Freiburg, Germany). He specializes in autonomous robotics, deep learning for perception and localization, and sensor fusion. His research focuses on embodiment-agnostic and environment-agnostic systems for robots, with applications in autonomous driving and healthcare robotics. Education: Ph.D. in Computer Science, Università degli Studi di Milano-Bicocca (2016–2020) M.Sc. and B.Sc. in Computer Science, Università degli Studi di Milano-Bicocca (2013–2016, 2010–2013) Research Interests: His work addresses challenges in LiDAR-camera calibration, SLAM (Simultaneous Localization and Mapping), unsupervised domain adaptation, and multimodal fusion for robust perception. Key projects include CMRNext (LiDAR-camera matching), Syn-Mediverse (healthcare scene understanding), and Continual SLAM (long-term autonomy). Awards & Grants: He leads funded projects like AI-Drive (next-gen autonomous driving algorithms) and iSUOR (operating room video analysis). Collaborations include work with the AIS Group and Robotic Learning Lab . Students & Labs: Supervises 12+ students in topics like LiDAR localization, HD maps, and radar-based navigation. Active in the Robot Learning Lab at Freiburg, contributing to open-source datasets and tools for robotics research.

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Gerd Müllerمشاهده پروفایل

پژوهشگر

University of HamburgGermany

Dr. Gerd Müller is a Research Scientist at the Meteorological Institute (University of Hamburg) since March 2003. He holds a PhD (1995) and Diplom (1991) in Meteorology from the University of Hamburg, focusing on mesoscale cellular convection and atmospheric boundary layer dynamics. His work spans atmospheric turbulence, cyclone dynamics, Arctic sea ice interactions, and numerical modeling. He has led or contributed to major projects like NARVAL, FRAMZY, and DAMOCLES, involving field experiments in polar regions. Key collaborations include the Max Planck Institute for Meteorology and international initiatives like ACSYS. His research integrates observational data from aircraft, buoys, and satellites with advanced modeling to understand climate-relevant processes in ocean-atmosphere systems. Education: PhD (Meteorology), University of Hamburg (1995) Diploma (Meteorology), University of Hamburg (1991) Research Interests: Atmospheric boundary layer turbulence Mesoscale convection and cold-air outbreaks Cyclone impacts on sea ice and ocean dynamics Numerical simulation of Arctic and marine systems Satellite and airborne remote sensing applications Past Projects: SFB 512 (Cyclones in North Atlantic Climate System) EUCREM (European Cloud-Resolving Modeling Program) SFB 318 (Ocean-Atmosphere-Cryosphere Interactions) FRAMZY series (Fram Strait cyclones and ice dynamics) DAMOCLES (Arctic ice buoy drift experiments) Lab/Team: Member of the 'Atmospheric Turbulence and Boundary Layers' research group at the Meteorological Institute.

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Gordon Cheungمشاهده پروفایل

دانشیار

University of TübingenGermany

Prof. Gordon Cheung is an Associate Professor in International Relations of China at Durham University’s School of Government and International Affairs. He has held visiting positions at institutions including the National University of Singapore, Tsinghua University, and the University of Tübingen. Since 2007, he has been a Fellow of the Higher Education Academy (UK) and serves on the advisory board of the European Research Centre on Contemporary Taiwan (ERCCT) since 2008. He has edited East Asia: An International Quarterly since 2004 and authored influential books on China’s political economy and international relations. He earned his PhD from the Chinese University of Hong Kong in 1997 and has taught globally. His research focuses on China’s global economic development, China-Taiwan economic relations, and the political economy of food and diaspora networks. He has explored themes such as the Belt and Road Initiative, SME policies in the UK, and the role of Chinese business networks in global contexts. His awards include the Higher Education Academy Fellowship. Collaborations with scholars like Edmund Terence Gomez highlight his interdisciplinary approach. He has led special journal issues on topics like 'Greater China and Regional Governance' and 'Made in China vs. Made by Chinese.' His work bridges theoretical frameworks with empirical studies, addressing contemporary challenges in global political economy.

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Dirk Heberlingمشاهده پروفایل

استاد

RWTH Aachen UniversityGermany

Prof. Dirk Heberling is a Universitätsprofessor at RWTH Aachen University, leading the Institute for High Frequency Technology. His research focuses on advanced antenna systems, radar technology, and electromagnetic field exposure assessment in 5G/6G networks. He specializes in high-frequency components, including leaky-wave antennas, reconfigurable intelligent surfaces, and robot-based antenna measurement systems. His work addresses challenges in antenna design, signal processing, and environmental compliance for next-generation communication infrastructure. Key research areas include: Development of wideband antennas for IoT and smart building applications Numerical analysis of near-field antenna measurements and phase recovery techniques Assessment of radio frequency exposure from massive MIMO base stations using digital twins Integration of radar systems with automotive technologies for self-localization and object detection Optimization of antenna arrays to mitigate grating lobes and phase synchronization issues His lab operates a state-of-the-art robot-based mm-wave test system capable of spherical near-field measurements and real-time auralization of aircraft noise. This infrastructure supports both fundamental research and industry collaborations in telecommunications, automotive radar, and environmental monitoring. Current projects emphasize: Exposure modeling for 6G networks considering increased base station utilization Generative adversarial networks for radar data synthesis Calibration techniques for polarimetric radar systems

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Jing Zhaoمشاهده پروفایل

استاد

Schloss Dagstuhl - Leibniz Center for InformaticsGermany

Jing Zhao is a Professor at Beijing Institute of Technology's School of Automation, Department of Computer Science, with an extensive publication record spanning artificial intelligence, computer vision, medical imaging, and robotics. Their interdisciplinary research bridges theoretical computer science with practical applications in healthcare, agriculture, and engineering. Research interests focus on cutting-edge AI methodologies including deep learning architectures, neural rendering techniques, and multimodal systems. Notable work includes advancements in 3D reconstruction (Gaussian Splatting), medical image analysis for cancer diagnosis, and novel approaches to EEG-based emotion recognition. The research demonstrates strong interdisciplinary connections between computer science and domain-specific applications. Recent publications reveal a consistent trend toward practical AI implementations across diverse fields. Jing Zhao's work shows expertise in adapting theoretical machine learning concepts to solve real-world problems in medical diagnostics, agricultural monitoring, and robotics. The research portfolio demonstrates particular strength in developing novel neural network architectures for specialized applications. As a corresponding author on numerous high-impact publications, Jing Zhao appears to lead a productive research group with collaborations spanning multiple institutions and disciplines. The publication record indicates significant contributions to both theoretical computer science and applied AI solutions across various domains.

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Ingmar Ickerottمشاهده پروفایل

استاد

Osnabrück University of Applied SciencesGermany

Prof. Dr. Ingmar Ickerott is a faculty member at Osnabrück University of Applied Sciences, affiliated with the School of Management, Kultur und Technik (MKT, Campus Lingen) under the University management department. His academic career spans over two decades, focusing on logistics management, digitalization in supply chains, and smart technology applications like Smart Glasses and Augmented Reality . Academic Background : Diplom-Kaufmann in Business Administration (2001), Ph.D. in Economics (2006). Professional Roles : Senior Project Manager at arvato (2008–2010), Professor since 2010, Dean of MKT since 2019, Vice President for Digitalization since 2019. His research emphasizes logistics innovation , Lean Management , and digital solutions in rural healthcare . Key projects include Land.Digital (2019–2022) and LEAN 4.0 (Erasmus+, 2019–2021). Publications since 2004 cover agent-based simulation , Smart Device economics , and AR in logistics . He actively lectures on topics like Logistics 4.0 and Digital Onboarding . Projects & Grants : Land.Digital : €165,000+ (Erasmus+), 2019–2021. Dorfgemeinschaft 2.0 : €1.46M (BMBF), 2015–2021. Glasshouse : €208,557 (BMBF), 2015–2019.

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Manfred Helmمشاهده پروفایل

استاد پژوهش

Helmholtz-Zentrum Dresden-RossendorfGermany

Prof. Dr. Manfred Helm is the Director of the Institute of Ion Beam Physics and Materials Research at the Helmholtz-Zentrum Dresden-Rossendorf (HZDR). His research focuses on materials science, nanotechnology, and semiconductor physics, leveraging advanced facilities like the Ion Beam Center (IBC) and the ELBE Center for High-Power Radiation Sources. He leads interdisciplinary projects, including the EU-funded ReMade@ARI initiative, and coordinates technology transfer through innovations like FlexiSens and Blitzlab. Helm's work emphasizes functional materials development, ion beam synthesis, and optoelectronic applications, with contributions to superconductivity, quantum defect engineering, and high-pressure material studies. Research highlights include investigations into GeSn alloys, CrSBr magnetic systems, and terahertz photonics. His institute promotes young scientists through programs like the DRESDEN-concept Research Group and the HZDR High Potential Program. Helm oversees collaborations in networks such as LEAPS and FELs of Europe, advancing applications in energy, information technology, and sustainable materials.

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Filip Sadloمشاهده پروفایل

استاد

Heidelberg UniversityGermany

Prof. Filip Sadlo is a Full Professor of Computer Science at Heidelberg University's Interdisciplinary Center for Scientific Computing (IWR), leading the Visual Computing Group. He serves as Dean of Studies for the Department of Informatics since 2022 and holds roles in multiple academic organizations including VGTC Executive Committee (2022–2025) and Associate Director of IWR (2022–present). His research focuses on visualization of complex scientific data, flow analysis, vector field topology, and high-performance computing. Education: PhD in Computational Visualization from ETH Zurich (2010), with prior roles at European Forest Institute and University of Freiburg. Research Interests: Specializes in visualization techniques for fluid dynamics, vector fields, and uncertainty quantification. Key areas include Lagrangian coherent structures, advection-diffusion processes, and interactive visualization systems. His work bridges computational methods with real-world applications in engineering and environmental science. Publications: Over 80 peer-reviewed papers since 2004, emphasizing visualization algorithms for dynamic systems, topological data analysis, and scientific computing. Recent work explores metacognition in data visualization and discontinuous vector field analysis. Grants & Projects: Principal investigator in DFG-funded projects on visualization in meteorology and MRI-based diagnostics, as well as initiatives in data integration and simulation science (e.g., SFB-TRR 191, HIDSS4Health). Labs & Teams: Heads the Visual Computing Group, fostering interdisciplinary research in computational visualization and scientific computing.

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Stefan Voßمشاهده پروفایل

استاد

University of HamburgGermany

Prof. Dr. Stefan Voß is a Professor at the Institute of Information Systems within the Hamburg Business School (HBS) at the University of Hamburg. He serves on the HBS Dean's Office and focuses on logistics optimization, metaheuristics, and sustainable port operations. His work integrates AI, machine learning, and operations research to address challenges in transportation, supply chain management, and public infrastructure. Research Interests: Dr. Voß specializes in: Metaheuristic algorithms (e.g., fixed set search, GRASP, VNS) Optimization of port and maritime logistics (berth allocation, quay crane scheduling) AI applications in transportation (predictive analytics, emotion recognition) Sustainable operations (green port infrastructure, EV charging networks) Public transport efficiency (bus scheduling, delay prediction) Publications: Recent work emphasizes AI-driven logistics, robust optimization under uncertainty, and digital twin applications in ports. His 2025 studies explore domain-generalized emotion recognition and dynamic seaport automation. 2024 articles highlight multi-objective scheduling, EV fleet optimization, and sustainable container storage. Labs/Teams: Leads research at the Institute of Information Systems, collaborating on port sustainability projects (e.g., Port of Hamburg) and digital innovation in logistics systems.

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Lennart Johnsenمشاهده پروفایل

پژوهشگر

University of HamburgGermany

Dr. Lennart Johnsen was affiliated with the University of Hamburg Business School, specifically within the Institute of Logistics and Supply Chain Management. As a Researcher, his work focused on logistics systems, supply chain optimization, and sustainable business practices. His research interests included strategic sourcing methodologies, data-driven supply chain analytics, and the integration of digital technologies in logistics operations.

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Hendrik Lensمشاهده پروفایل

استاد

University of StuttgartGermany

Hendrik Lens is a **Professor for Power Plant and Grid Systems** and **Director of the Institute** at the University of Stuttgart's **Institute of Combustion and Power Plant Technology (IFK)**. He leads the **Power Generation and Automatic Control (SuA) department**, focusing on advanced grid technologies and energy system optimization. His research emphasizes **grid stability**, **renewable energy integration**, and **converter control strategies**. Key contributions include studies on grid-forming converters, inertia-aware generation planning, and dynamic network equivalents. He collaborates internationally on projects like the *VerbundnetzStabil initiative* analyzing interconnected power systems. Publications span **18 journals/conferences in 2024 alone**, with a focus on smart grid technologies and decarbonization strategies. His work addresses challenges such as frequency containment reserves, distributed generation impacts, and stochastic unit commitment tools. Operates within the Institute of Combustion and Power Plant Technology, contributing to both academic and applied research in sustainable energy systems.

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Jutta Geldermannمشاهده پروفایل

استاد

University of Duisburg-EssenGermany

Prof. Jutta Geldermann is a Full Professor and Chair Holder for Business Administration and Production Management at the University of Duisburg-Essen's Faculty of Engineering. She holds a diploma in Industrial Engineering and a PhD from the Karlsruhe Institute of Technology (KIT), followed by a habilitation in Business Administration. Her career includes leadership roles such as Full Professor and Chair Holder at Georg-August-University of Göttingen (2006-2018), Dean of the Faculty of Business and Economics, and Head of the Energy Economics Research Area at the Energy Research Center of Lower Saxony (2009-2018). Her research focuses on sustainable production and logistics systems, multi-criteria decision support, and life-cycle assessment (LCA), with over 50 industry- and publicly funded projects. Current roles include President of the German Operations Research Society (GOR) and Editor-in-Chief of the EURO Journal on Decision Processes . Research interests emphasize energy efficiency, renewable resources, and decision-making frameworks. She has led initiatives such as the DFG Research Training Group 1703 on resource efficiency in interorganizational networks. Professional engagements include board memberships in GOR, VHB (German Academic Association of Business Research), and the Energy Research Center Lower Saxony (EFZN). Publications span multi-criteria analysis, energy systems, and sustainable logistics, reflecting her expertise in bridging academic research with practical applications in industry and policy.

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Reza Salkhordehمشاهده پروفایل

مدرس

University of MainzGermany

Reza Salkhordeh is a Lecturer and Postdoctoral Researcher at Johannes Gutenberg University Mainz, Germany, where he leads the Efficient Computing and Storage Group. He holds a Ph.D. in Computer Engineering from Sharif University of Technology (2018) and has been affiliated with Ferdowsi University of Mashhad and Sharif University of Technology. His research focuses on operating systems, storage systems, and non-volatile memory technologies, with a particular emphasis on high-performance computing and I/O optimization. He has taught courses such as Storage Systems and Advanced Topics in Operating Systems since 2020. His academic journey includes a B.Sc. from Ferdowsi University (2011), M.Sc. and Ph.D. from Sharif University (2013, 2018). He has held roles such as Technical Lead for the High-Performance Data Storage System (HPDS) project in Tehran, Iran, and has mentored 4 M.Sc. and 6 B.Sc. students. His work spans patented technologies like Reconfigurable Cache Architectures and Load Balancers for I/O caching systems. Research interests include heterogeneous memory management, storage system design, and optimizing I/O performance in distributed environments. His recent publications address challenges in NVMM utilization, garbage collection in SSDs, and I/O tracing for HPC systems. He is actively involved in conference committees (e.g., FAST, ARCS, SC) and has reviewed for top journals like IEEE TPDS and ACM Transactions on Storage. Notable recognitions include membership in Iran’s National Elites Foundation (2012–2015) and top rankings in national exams (3rd in PhD, 35th in MSc). His contributions to storage systems have advanced enterprise-grade architectures and decentralized file systems, with a focus on practical implementations for modern computing challenges.

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Jens Lechtenbörgerمشاهده پروفایل

مدرس

University of MünsterGermany

Dr. Jens Lechtenbörger is a Faculty member and Lecturer at the Chair of Machine Learning and Data Engineering at the University of Münster's School of Business and Economics. He holds a Doctoral degree (2001) and a diploma in Computer Science (1997) from the University of Münster and Oldenburg, respectively. His roles include serving as Akademischer Oberrat since 2006, Acting Professor (2016), and Fellow for innovation in digital university teaching (2016–2017). He leads projects like Tutor.AI and OER infrastructure development, focusing on Open Educational Resources (OER), data warehousing, and educational technology. Research interests span OER creation, data integration, business intelligence, and machine learning applications in education. He has published extensively on data warehouse design, database systems, and educational technologies. Notable awards include the Best Evolutionary & Swarm Computation Paper Award (2019) and the Dissertation Prize 2003. Teaching responsibilities include courses on data structures, operating systems, and management information systems. He supervises theses on topics like AI-driven learning systems, data privacy, and business logic vulnerabilities. Active in academic service, he chairs committees on digital teaching and curriculum reform at the University of Münster.

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