جست‌وجوی استاد و پژوهشگر

Slawomir Sanderمشاهده پروفایل

پژوهشگر

• Quadrotors
• SLAM
• Navigation
• +۵ مورد دیگر

Slawomir Sander (formerly known as Slawomir Grzonka) is a researcher at the Department of Computer Science at Albert-Ludwigs-University of Freiburg, working in the Autonomous Intelligent Systems Group led by Professor Wolfram Burgard. His research focuses on robotics, particularly in the areas of aerial robotics, navigation systems, and agricultural applications. Dr. Sander's primary research interests include Quadrotors, SLAM (Simultaneous Localization and Mapping), Navigation, Machine Learning, Human Motion Tracking, and Agricultural Robotics. His work bridges theoretical robotics with practical applications, especially in precision farming where robotic systems can reduce herbicide usage through targeted weed detection and removal. His research demonstrates a strong progression from fundamental navigation algorithms to applied agricultural robotics. An analysis of his publication history shows a clear evolution from indoor navigation and SLAM techniques (2007-2012) toward agricultural robotics applications (2013-2016). His earlier work focused on quadrotor navigation, place recognition, and state estimation, while his more recent publications center on precision farming applications, particularly weed detection in sugar beet fields and integration of UAV-UGV systems for crop management. His notable scientific achievements include: Wolfgang-Gentner-Award (Wolfgang-Gentner-Nachwuchsförderpreis) for his PhD thesis Best Conference Paper Award for "Towards Palm-Size Autonomous Helicopters" Finalist for Best Student Paper Award and Best Paper Award in Cognitive Robotics for "Mapping Indoor Environments Based on Human Activity" Best Conference Paper Award for "Towards a Fully Autonomous Indoor Helicopter" Dr. Sander has been actively involved in several major robotics projects including the BoniRob platform development, RemoteFarming.1, and the Flourish project. His work often involves interdisciplinary collaborations with agricultural scientists and engineers. While specific grant information isn't detailed in the provided materials, his involvement in multiple substantial projects suggests successful grant acquisition for robotics research. He has been a key contributor to the Autonomous Intelligent Systems group's work on agricultural robotics, particularly in developing the BoniRob platform and its various applications (BoniRob-Apps) for field robotics. His work connects fundamental robotics research with practical agricultural applications, demonstrating the real-world impact of robotics technology in addressing challenges in modern farming.

Christian Hochbergerمشاهده پروفایل

استاد

• Reconfigurable Computing
• FPGA Architecture
• Embedded Systems
• +۳ مورد دیگر

Prof. Dr.-Ing. Christian Hochberger is a Professor at Technische Universität Darmstadt, affiliated with the Department of Computer Science. His research focuses on reconfigurable computing, FPGA architecture, embedded systems, and hardware/software co-design. He teaches courses such as 'Rechnersysteme I/II' and 'High-Level Synthese.' University: Technische Universität Darmstadt Department: Department of Computer Science Research interests span FPGA-based acceleration, CAD tools for reconfigurable systems, and energy-efficient computing. His work frequently addresses challenges in hardware design, parallelization, and fault tolerance. Publications from 2022-2024 highlight contributions to memristive devices, genetic circuit design automation, and CGRA optimization. His recent work emphasizes experimental methodologies and novel techniques in resistive switching and memristor-based FPGAs. Awards: None explicitly listed in the provided text.

Sebastian Schöpsمشاهده پروفایل

دانشیار

• Computational Electromagnetics
• Coupled Multiphysical Simulations
• High-Performance Computing
• +۷ مورد دیگر

Prof. Sebastian Schöps is an Associate Professor in the Department of Electrical Engineering and Information Technology at Technische Universität Darmstadt. He leads the Computational Engineering Group, focusing on coupled multiphysical simulations and high-performance computing. His work bridges computational electromagnetics with advanced numerical methods like isogeometric analysis and reduced-order modeling. Education: Joint PhD in Physics (KU Leuven, Belgium) and Mathematics (University of Wuppertal) MSc and BSc in Business Mathematics (University of Wuppertal) Research Interests: Coupled systems involving electromagnetism, thermodynamics, and structural mechanics High-performance parallel algorithms for industrial-scale simulations Uncertainty quantification in engineered systems Optimization of electric machines using isogeometric analysis His work frequently involves developing novel finite element formulations and collaborating with CERN on accelerator magnet simulations. Publications Trends: Recent work emphasizes machine learning integration with physics-based models, optimization under uncertainty, and scalable simulation techniques for superconducting devices. Key applications include electric machine design, particle accelerator magnets, and medical device modeling. Labs & Projects: Leads the PASIROM project (Parallel Simulation and Robust Optimization of Electro-Mechanical Energy Converters), and contributes to CERN's quench protection system research. Active in open-source tool development for multiphysics simulation.

• Behavioral Economics
• Information Economics
• Cognitive Computational Neuroscience
• +۵ مورد دیگر

Stefan Bucher is an Assistant Professor at the Faculty of Economics, University of Cambridge, where he conducts interdisciplinary research at the intersection of behavioral economics, cognitive neuroscience, and machine learning. His work focuses on understanding cognitive frictions in economic decision-making and designing algorithmic tools to reduce information overload through improved choice architecture. His academic training includes a PhD in Economics from New York University, postdoctoral research at the Max Planck Institute for Biological Cybernetics, Tübingen AI Center, and MIT Sloan School of Management. He holds a BSc and MSc in Computational Science and Engineering from ETH Zürich and an MSc in Economics from the London School of Economics and Political Science. Stefan's research integrates methods from behavioral and information economics, cognitive computational neuroscience, and artificial intelligence. His work advances our understanding of human decision-making under complexity and explores scalable computational solutions to enhance individual and collective choices in real-world settings. Although no recent publications are listed in the provided text, his research trajectory suggests strong engagement with computational modeling of cognition, neuroeconomic experimentation, and AI-driven policy design. His methodological toolkit spans experimental economics, machine learning, and neural data analysis. PhD in Economics – New York University Postdoctoral Scholar – Max Planck Institute for Biological Cybernetics Postdoctoral Scholar – Tübingen AI Center Postdoctoral Scholar – MIT Sloan School of Management MSc in Economics – London School of Economics and Political Science BSc & MSc in Computational Science and Engineering – ETH Zürich Stefan Bucher has not been mentioned as supervising any students in the provided material, nor are specific grants or funding sources listed. However, his affiliations with leading research institutions suggest active participation in major research initiatives and potential involvement in collaborative, interdisciplinary grants related to decision science and AI. He is associated with research environments that emphasize computational approaches to human behavior, including the Max Planck Institute and the Tübingen AI Center, indicating alignment with high-impact teams working on the frontiers of cognitive and economic modeling.

• Computational Neuroscience
• Neuroscience
• Machine Learning
• +۳ مورد دیگر

Sara Ershadmanesh serves as a Visiting scientist within the Department of Computational Neuroscience at the Max Planck Institute for Biological Cybernetics in Tübingen, Germany. Her professional contact is sara.ershadmanesh@tuebingen.mpg.de, and her physical location is Max-Planck-Ring 8, 72076 Tübingen. This institute operates under the Max Planck Society, a premier research organization focused on fundamental scientific discovery. Her research centers on Computational Neuroscience, employing advanced mathematical modeling and algorithmic approaches to decode neural mechanisms. Key interests include Machine Learning applications for neural data analysis, Artificial Intelligence frameworks inspired by brain function, Cognitive Science modeling of decision processes, and Brain Imaging techniques for structural and functional mapping. This interdisciplinary work bridges theoretical neuroscience with practical AI development. No scientific awards or honors are documented in the available profile. Information regarding graduate student supervision, research funding, laboratory teams, or collaborative projects was not provided in the source material, indicating these details may fall outside the current scope of her publicly listed affiliation.

Robin Schmitzمشاهده پروفایل

پژوهشگر

• Microwave Engineering
• Radar Technology
• Machine Learning Applications
• +۳ مورد دیگر

Robin Schmitz is a Scientific Assistant and Research Associate in the Microwave Systems department at Ruhr-University Bochum's Faculty of Electrical Engineering and Information Technology. His work focuses on radar technology applications, machine learning integration in industrial processes, and electromagnetic systems. He collaborates on projects like KI-ROJAL and Medici, addressing condition monitoring, antenna design, and non-destructive testing. His research emphasizes radar-based condition monitoring for industrial efficiency, GAN-based data augmentation, and electromagnetic waveguide modeling. Publications span radar imaging, antenna optimization, and machine learning-driven surrogate models. Key collaborations include European Microwave Conferences and IEEE Symposia.

Galyna Tabunshchykمشاهده پروفایل

پژوهشگر

• Automation Technology
• Digital Twins
• Smart Grids
• +۳ مورد دیگر

Galyna Tabunshchyk is a Researcher at the Chair of Automation Technology (AUT) within the Faculty of Electrical Engineering and Information Technology at Ruhr University Bochum. Her work focuses on automation technologies, digital twins, smart grids, IoT systems, and educational technology, with a particular emphasis on integrating these advancements into engineering education. She holds a PhD in control systems and processes, and her research bridges academic innovation with practical industrial applications. Her research interests include climate-friendly automated assembly technologies, digital twin implementations for Industry 4.0, and the development of cross-domain competences for future work environments. She actively contributes to international collaborations, such as projects on smart agriculture modernization and sustainable remote laboratory systems. Tabunshchyk has supervised master's theses on topics like CFD-based simulation in MATLAB/Simulink and has authored/co-authored over 100 publications in peer-reviewed journals and conferences. Her work spans disciplines such as materials science (e.g., magnesium alloy research for biomedical applications), embedded systems, and quality assurance in software engineering. Key trends in her publications include the integration of AI into education, digital twin applications in automotive engineering, and sustainable automation solutions. Her recent contributions highlight advancements in model-based design, smart grid optimization, and cross-border educational ecosystems. She has been awarded grants supporting projects like the development of cross-domain competences and the refinement of bioabsorbable materials for implants. Tabunshchyk is also involved in lab initiatives, including the Ilmenau Interactive Hybrid Online Lab for rapid prototyping of digital systems. Her work emphasizes inclusivity in engineering education, leveraging remote experimentation and audio navigation systems for visually impaired students. This aligns with her broader vision of creating accessible, future-ready educational infrastructure.

Salah H. Abouzaidمشاهده پروفایل

پژوهشگر

• Radar Technology
• Deep Learning
• Material Characterization
• +۳ مورد دیگر

Salah H. Abouzaid is a Researcher at the Faculty of Electrical Engineering and Information Technology , Ruhr University Bochum, affiliated with the Integrated Systems department. His work focuses on radar technology and sensor systems. Specializes in FMCW radar systems and deep learning applications Research interests include material characterization and vital signs monitoring Active in microwave theory, embedded systems, and neural network modeling His recent publications demonstrate expertise in radar-based material analysis, machine learning integration, and biomedical sensing. No students or awards are listed in available records.

• Data Science
• Machine Learning
• Data Mining
• +۳ مورد دیگر

Ansgar Scherp is a Professor at the Institute for Databases and Information Systems within the Faculty of Engineering, Computer Science and Psychology at the University of Ulm. He holds the academic title of Prof. Dr.-Ing. His teaching responsibilities include courses such as Data Science (Bachelor/Master), Advanced Methods in Data Mining and Machine Learning, and Data Science on Very Large Data Sets. He also oversees various project courses and reading clubs related to Data Science and Machine Learning. His research focuses on data science, machine learning, and big data systems with applications in database technologies and information systems. He actively organizes academic events including seminars and project-based learning initiatives. Currently serving as a full-time faculty member, no specific awards or grants are explicitly mentioned in the provided materials. His professional activities are centered around both undergraduate and graduate education in computer science disciplines.

Nadja Rayمشاهده پروفایل

استاد

• Multiscale Modeling
• Reactive Flow and Transport in Porous Media
• Soil Science
• +۳ مورد دیگر

Professor Nadja Ray leads the Chair of Geomatics and Geomathematics at the Catholic University of Eichstätt-Ingolstadt. She specializes in multiscale modeling of reactive flow and transport in porous media, with a focus on soil systems. Alumnus of Friedrich-Alexander University Erlangen-Nürnberg (FAU), where she earned her doctorate in 2013 and habilitation in 2020 Key research areas: soil microstructure analysis, mathematical modeling for environmental applications, and computational geosciences Her work addresses critical issues in energy sustainability, climate science, and environmental protection through mathematical frameworks that bridge pore-scale and macro-scale soil behavior. Recent publications emphasize 3D microstructure modeling, machine learning applications for soil physics, and DFG-funded projects on rhizosphere dynamics. Awards include the Dr.-Klaus-Körper Prize (GAMM), Faculty Women’s Award (FAU), and FAU Habilitation Prize. She actively collaborates with geoscientists and leads DFG projects on soil systems, while contributing to the newly established Mathematical Institute for Machine Learning and Data Science (MIDS).

• Process Monitoring
• Machine Tools
• Sensor Technology
• +۴ مورد دیگر

Prof. Dr.-Ing. Dirk Lange is an Honorary Professor at Leuphana University of Lüneburg since 2019 and Head of Development at Marposs Monitoring Solutions GmbH. His career spans roles as Technical Director at Artis GmbH (2010–2018), lecturer at Leuphana and Northeast Lower Saxony University of Applied Sciences, and leader in R&D at Artis GmbH (1998–2010). He focuses on process and machine condition monitoring , sensor technology , and AI-driven industrial automation . Education: 1985–1991 Electrical Engineering (specializing in measurement/control engineering) at TU Braunschweig; 1999 Doctorate at IWF Braunschweig/IPA Stuttgart on grinding measurement systems. Research: He explores process monitoring , sensor systems , 5G-enabled automation , and machine learning for manufacturing. His work addresses anisotropic material reduction, data-driven models, and embedded systems in production. Projects: Leads EU-funded initiatives like EVOLVE5G (5G process optimization) and TrICo (sustainable production networks). Past projects include OptimUm (AI/FEM forming) and FerNaPro (sustainable manufacturing). Patents: Holds 6 patents for sensor systems, thread testing, and machine tool monitoring (DE102006030834B4, EP2476511B1, EP2662739A2). Academic Networks: Affiliated with ICNAP (Networked Adaptive Production), MIN (Manufacturing Innovation Network), and 6G IA (Smart Networks). Co-organized workshops at RWTH Aachen and TU Dresden. His publications since 2019 emphasize 5G in production , machine learning for anomaly detection , and sensor integration . He supervises Bachelor, Master, and PhD theses at IPTS.

• Physics Education
• Machine Learning
• Educational Technology
• +۳ مورد دیگر

Holger Maus is a Researcher in the Department of Physics Education at the Leibniz Institute for Science and Mathematics Education (Kiel, Germany). His work focuses on problem-solving competency promotion and digital learning material development for physics education. He leads the WasP project for automated student feedback and contributes to the IPhO (International Physics Olympiad) initiatives. Education: Bachelor of Science (2013) Master of Education (2015) Second State Examination (2016) His recent research combines machine learning with physics concept assessment , exemplified in his 2024 publication comparing conventional ML and large language models for educational evaluation. He also serves as a Physics and Mathematics teacher at Alexander-von-Humboldt-Schule since 2017.

Peter R. Schreinerمشاهده پروفایل

استاد

• Organic Chemistry
• Computational Chemistry
• Reaction Dynamics
• +۸ مورد دیگر

Peter R. Schreiner is a Full Professor and holds the Liebig Chair at the Institute of Organic Chemistry, Faculty of Biology and Chemistry, Justus Liebig University Giessen. He is also an Associate Fellow at the Peace Research Institute Frankfurt (PRIF) and an Honorary Full Professor at Macquarie University, Sydney. His research spans computational and experimental organic chemistry, with a focus on reaction dynamics, quantum tunneling, London dispersion, and nanodiamonds. His research interests include reaction dynamics, reactive intermediates, quantum tunneling, London dispersion interactions, organocatalysis, and nanodiamond chemistry . He combines high-level computational methods with experimental techniques, often in interdisciplinary collaborations. His group investigates fundamental reactivity patterns and develops functional materials based on diamondoids. The recent publications highlight consistent work in quantum tunneling, dispersion interactions, nanodiamond functionalization, and reaction mechanism elucidation . Trends show a strong integration of machine learning with quantum chemistry , experimental characterization of high-energy intermediates , and materials applications of adamantane-type clusters . Scientific Awards: Gottfried Wilhelm Leibniz Award of the DFG (2024) Arthur C. Cope Scholar Award (2021) Academy Award of the Berlin-Brandenburg Academy (2020) Royal Society of Chemistry Physical Organic Chemistry Award (2019) Adolf von Baeyer Memorial Medal (2017) Dirac Medal (2003) Leadership and Editorial Roles: He has served as President of the German Chemical Society (GDCh, 2020–2021), Editor-in-Chief of WIREs Computational Molecular Science since 2007, and member of the DFG Review Board (2016–2024). He is also Head of the Chemistry Section and Senator at the Leopoldina – German National Academy of Sciences since 2023. Laboratory and Collaborations: The PRS Group at Justus Liebig University Giessen is internationally active, with collaborations in Coimbra, Kiev, Technion, Zagreb, and the University of Georgia. The group emphasizes combining experiment and theory and welcomes students and postdocs for thesis and research projects.

Andreas Wieserمشاهده پروفایل

استاد

• Geodesy
• Engineering Geodesy
• Geomatics
• +۵ مورد دیگر

Prof. Dr. Andreas Wieser is a Visiting Professor at ETH Zurich and a Full Professor at the Department of Civil, Environmental and Geomatic Engineering . His expertise lies in geodetic monitoring, sensor system development, and applications of laser scanning technologies in engineering and environmental contexts. Education: Habilitation in Applied Geodesy (Graz University of Technology, 2007) PhD in Geodesy (Graz University of Technology, 2001) Diploma in Geodesy (Vienna University of Technology, 1995) Andreas Wieser's research focuses on geodetic monitoring of structures and surfaces , terrestrial and hyperspectral laser scanning , and optimization of geodetic sensor systems . His recent publications emphasize applications in avalanche risk assessment, infrastructure deformation analysis, and radiometric calibration techniques. Key contributions include: Development of low-cost lidar monitoring systems for avalanche zones Advancements in automatic radiometric calibration for laser scanners Innovations in 3D displacement estimation with uncertainty quantification Scientific recognition includes: Karl-Rinner Award (Austrian Geodetic Commission, 2006) Erwin-Schrödinger Fellowship (Austrian Science Fund, 2003) Josef Krainer-Award for Young Scientists (Government of Styria, 2002) Multiple Best Presentation Awards at international conferences He has served as: Referee/Co-referee for over 30 doctoral theses Guest Professor at University of Stuttgart (2023) Leadership roles in academic commissions and editorial boards

Stefan Carosellaمشاهده پروفایل

پژوهشگر

• Composite manufacturing technologies
• Lightweight construction
• Fiber composite materials
• +۳ مورد دیگر

Stefan Carosella, Dr.-Ing., is a Senior Researcher and Deputy Head of Manufacturing Technology at the Institute of Aircraft Design (IFB) of the University of Stuttgart. He leads the Composite Technology Lab and coordinates EU-funded research projects in lightweight construction and composite manufacturing. His work bridges academic research with industrial applications in aerospace and automotive sectors.