جست‌وجوی استاد و پژوهشگر

Hagen Langerمشاهده پروفایل

پژوهشگر

• Natural Language Processing
• Knowledge Representation
• Multiagent Systems
• +۷ مورد دیگر

Dr. habil. Hagen Langer is a Senior Researcher at the University of Bremen since 2004 and Managing Director of the Collaborative Research Center EASE (SFB 1320) since July 2017. He previously served as Technical Coordinator of the EU-funded RoboHow project until 2016. Education: Doctoral Degree - Georg-August-Universität Göttingen Habilitation - University of Osnabrück His research focuses on natural language processing , knowledge representation , multiagent systems , cognitive robotics , and machine learning . These interests are reflected in his work on semantic interoperability, autonomous logistics, and knowledge-intensive robotic tasks. Key publication trends include: Robotics research with emphasis on cognitive capabilities (2006-2016) Multiagent system architectures for logistics and decision support Knowledge representation frameworks for autonomous processes Natural language processing techniques for semantic understanding Simulation modeling for smart materials and logistics Scientific Awards: Best Student's Paper Award 2009 (Proc. of KDIR 2009) As Managing Director of CRC EASE , he leads research on Everyday Activity Science and Engineering, focusing on knowledge-enabled autonomous systems integration.

• Planetary Science
• Ocean Worlds Research
• Remote Sensing
• +۴ مورد دیگر

Dr. Jon Hillier is a Postdoctoral Researcher at the Institute of Geological Sciences within the Department of Earth Sciences at Freie Universität Berlin. He works on the Project Habitat-OASIS • Ocean Worlds/Destiny+ and specializes in planetary science research focusing on extraterrestrial ocean environments and cosmic dust analysis. Dr. Hillier holds a Ph.D. in Physics and has established himself as a specialist in impact ionization mass spectrometry and hypervelocity impact physics. His laboratory work involves creating sophisticated analogues of extraterrestrial materials to simulate conditions found on ocean worlds like Europa and Enceladus. His research interests include: Analysis of ice grains from ocean worlds for potential biosignatures Simulation of hypervelocity cosmic dust impacts Development of analytical techniques for space-based mass spectrometry Characterization of organic and inorganic materials in extraterrestrial environments Interpretation of data from space missions, particularly Cassini Dr. Hillier's publication record shows a concentrated focus on developing methods to distinguish between abiotic and biotic chemistry in extraterrestrial environments. His recent work demonstrates increasing sophistication in laboratory analogues that simulate ice grain composition from ocean worlds, with particular attention to detecting potential microbial biosignatures using advanced mass spectrometry techniques. He is actively involved in international collaborations that bridge laboratory experimentation, theoretical modeling, and analysis of space mission data to advance understanding of planetary systems and the potential for extraterrestrial life. His research contributes directly to the development of instrumentation for future missions aimed at exploring potentially habitable environments in our solar system.

Michael Schnedlerمشاهده پروفایل

پژوهشگر

• Semiconductor Physics
• Nitride-based Semiconductors
• Scanning Tunneling Microscopy (STM)
• +۳ مورد دیگر

Michael Schnedler is a Researcher at the Ernst Ruska Center for Electron Microscopy and Spectroscopy (ER-C) within Research Center Jülich. His work focuses on nanoscale semiconductor systems, particularly using scanning tunneling microscopy and spectroscopy (STM/STS) to characterize materials like GaN, InN, AlInN, and AlGaN. Research areas include defects in semiconductors, tip-induced band bending simulations, and electrostatic potential analysis. Projects explore III-V nanowires for lighting and energy harvesting applications.

Johannes Mengمشاهده پروفایل

پژوهشگر

• Computer Graphics
• Rendering
• Light Transport
• +۳ مورد دیگر

Johannes Meng is a Researcher and PhD Student at the Computer Graphics Group, Karlsruhe Institute of Technology (KIT) , Germany. He has been affiliated with KIT since 2012, following internships at Disney Research Zürich (2012, 2013) and Weta Digital (2013). Education : Diploma in Computer Science (KIT, 2012) Key Research Areas : Rendering algorithms, light transport modeling, granular material simulation, color science His research focuses on physically based rendering techniques, including sampling schemes, multi-scale material modeling, and spectral color representation. Meng has contributed to publications in Computer Graphics Forum and ACM Transactions on Graphics , often collaborating with experts in rendering and simulation fields. Meng's work demonstrates expertise in both algorithmic improvements and practical implementation of rendering systems. He has participated in teaching roles (exercises and seminars) in computer graphics and photorealistic rendering at KIT since 2012.

Tobias Kleinمشاهده پروفایل

پژوهشگر

• Thermophysical Properties
• Energy Technology
• Molecular Dynamics Simulations
• +۳ مورد دیگر

Tobias Klein is a Group Leader at the Institute of Advanced Optical Technologies - Thermophysical Properties within the Department of Chemical and Biological Engineering (CBI) at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Germany. His research focuses on the thermophysical characterization of working fluids in energy technology, combining conventional experiments, light scattering techniques, and molecular dynamics (MD) simulations to study equilibrium and transport properties like density, surface tension, viscosity, and diffusion coefficients. The group investigates systems relevant to energy transport and storage, including Electrolyte mixtures Hydrocarbon-gas solutions Polymer-gas solubility Condensation heat transfer in hydrocarbon mixtures Their work establishes structure-property relationships and semi-empirical equations for predicting thermophysical behavior. Recent publications highlight studies on Diffusion in electrolytes and hydrocarbons Surface tension of hydrogen carriers Condensation dynamics on structured surfaces Transport in polymer melts using dynamic light scattering (DLS) and MD simulations. The group contributes to IUPAC technical standards for diffusion coefficient definitions.

• Global Navigation Satellite Systems (GNSS)
• Low Earth Orbit (LEO) Applications
• Signal Integrity Analysis
• +۳ مورد دیگر

Marius Brachvogel is a Research Assistant and Doctoral Student at the Chair of Navigation (DLR) at RWTH Aachen University . His work focuses on Global Navigation Satellite Systems (GNSS), Low Earth Orbit (LEO) satellite applications, and robust signal processing for automotive navigation systems. His research explores: Signal integrity and interference mitigation in GNSS receivers Calibration and array processing for spatially distributed antenna systems LEO-based augmentation of GNSS constellations Spoofer detection in safety-critical automotive applications Wideband calibration techniques for multi-antenna arrays Recent publications highlight trends in GNSS security, automotive positioning resilience, and distributed antenna array design. Awards and grants are not explicitly mentioned in the provided text. Marius contributes to advancing robust navigation solutions through both theoretical analysis and practical implementation.

• Human-Computer Interaction
• Extended Reality
• Mixed Reality
• +۶ مورد دیگر

Christopher Katins is a Researcher at the Institute of Computer Science within the Faculty of Mathematics and Natural Sciences at Humboldt University of Berlin. His work focuses on Human-Computer Interaction , particularly in Mixed Reality , Extended Reality , and applications to safety-critical environments such as aviation. Research Trends : Recent publications emphasize Large Language Models in UX design, XR user studies , and safety-critical interface challenges . Key areas include public perceptions of XR , spatial interaction techniques , and empathic interface development . Labs & Teams : Affiliated with the Human-Computer Interaction for Scientific Software group, driving innovation in immersive analysis and aviation-specific interfaces.

• Quantum Computing
• Quantum Information Theory
• Machine Learning
• +۴ مورد دیگر

Dr. Mohammad H. Ansari is a Research Scientist and Principal Investigator at Forschungszentrum Jülich's Peter Grünberg Institute (PGI-2), specializing in Theoretical Nanoelectronics. He leads the Quantum Device Theory group, with dual affiliation at RWTH Aachen's Institute for Quantum Information. Education : PhD in Theoretical Physics (2008) from University of Waterloo, Canada Postdoc Training : University of Waterloo (2008-2010), Institute for Quantum Computing (2010-2013), Delft University of Technology (2013-2016) His research spans quantum computing , circuit QED , and non-equilibrium quantum field theory , with recent work focusing on quantum annealing applications , error mitigation techniques , and superconducting qubit optimization . Current projects include quantum thermodynamics and machine learning integration in quantum systems. Recent publications demonstrate trends in quantum hardware design (2024), entanglement engineering (2024), and quantum-classical hybrid models (2023). His work bridges fundamental physics with applied quantum technologies , including photovoltaic cell simulations and quantum neural networks . Scientific Awards John Brodie Prize, Perimeter Institute Member of Canadian Association of Physics (CAP), American Mathematical Society (AMS), and American Physical Society (APS) As advisor, Dr. Ansari has mentored 16 students including Alwin van Steensel (PhD 2022), Xuexin Xu (PhD 2021), and Manabputra (MSc 2021). Current advisees include Siyu Wang (PhD 2024) and Giorgi Kvantrishvili (MSc 2024). The Quantum Device Theory group (10 members) collaborates with MIT, UCSB, and Syracuse University, focusing on large-scale quantum device modeling , quantum thermodynamics , and quantum field theory applications . Recent projects include quantum annealing for chromatin domain prediction and entanglement-enhanced quantum processors.

• Nuclear Astrophysics
• Theoretical Physics
• Astrophysics

Gabriel Martinez-Pinedo serves as a Professor at the Technical University of Darmstadt, maintaining his primary research operations at the GSI Helmholtz Centre for Heavy Ion Research in Darmstadt, Germany. His institutional base is located at Planckstraße 1 (Building KBW 2.09), reflecting deep integration with Germany's premier nuclear physics infrastructure. His research focuses on Theoretical Nuclear Astrophysics, examining cosmic nucleosynthesis processes and stellar evolution mechanisms through advanced computational modeling. This work bridges fundamental nuclear physics with large-scale astrophysical phenomena, particularly in extreme environments like supernovae and neutron star mergers. Operational within the GSI working group structure, his team leverages heavy-ion accelerator facilities to simulate astrophysical conditions. Contact is maintained via institutional phone (+49 6159 71 2750) and fax (+49 6159 71 2990), though email communication requires domain verification beyond the provided "tu-..." fragment.

Kay Hamacherمشاهده پروفایل

استاد

• Mathematical modeling
• Data analytics
• Computational biology
• +۳ مورد دیگر

Kay Hamacher is a Professor of Computational Biology & Simulation at the Department of Biology , with co-appointments in the Department of Computer Science and Department of Physics at Technische Universität Darmstadt . His research bridges mathematical modeling , biostatistics , and privacy-enhancing technologies for biomedical data. Develops advanced algorithms for stochastic global optimization in molecular systems Co-investigator in HiGHmed , CORD , and Athene consortia for secure medical data analysis Principal investigator of the Biotite project for computational biology tools His work focuses on: Computational biophysics of ion channels (e.g., HCN4) and protein complexes Secure data science for personalized medicine and genome-wide studies Algorithm development in metaheuristics and dynamic graph analysis Publications span 2024–2022 with breakthroughs in: HCN channel structural modeling Privacy-preserving epistasis analysis Hydrogen atom placement in molecular simulations Secure multi-party computation frameworks Statistical complexity measures Scientific awards include: Best Paper Award (GECCO2021) for genetic algorithm niching DeGBS Best-Paper-of-the-Year (2021) for DNA damage response research As an advisor, he mentors Magnus Behringer and Jan Krumbach , while leading a lab that integrates privacy, algorithms, and structural biology . Collaborations include CompuGene , iNAPO , and CORD-MI initiatives.

• Scientific Computing
• Applied Mathematics
• Parallel Computing
• +۳ مورد دیگر

Prof. Dr. Carsten Burstedde is a faculty member at the Institut für Numerische Simulation within the University of Bonn , specifically affiliated with the Faculty of Mathematics and Natural Sciences . His work focuses on developing scalable algorithms for adaptive mesh refinement (AMR) that operate efficiently on the world’s largest supercomputers. He leads the development of the p4est software library , a foundational tool for parallel AMR applications, and contributes to projects like ForestClaw for simulating volcanic ash transport in atmospheric flows. His research spans scientific computing , applied mathematics , and high-performance computing . Key application areas include geophysics (mantle convection, seismic wave propagation), fluid dynamics (incompressible flows, volcanic ash transport), and uncertainty quantification for inverse problems. He emphasizes non-conforming mesh techniques and parallel numerical solutions of PDEs , with a particular interest in hybrid mesh algorithms for complex domains. The 15 most recent publications highlight his expertise in adaptive mesh refinement across diverse contexts: 2021 works on heterogeneous systems and ghost layer optimization , 2020 contributions to p4est software and CPU ray tracing of AMR data, 2019 studies on Morton-type space-filling curves , and 2018–2016 projects enhancing ParFlow and ESPResSo with adaptive methods. Earlier papers (2015–2012) address Bayesian inverse problems , level-set methods , and multi-scale geodynamics . Scientific Awards include the Springer CSE Prize (2011) and the NSF TeraGrid Capability Computing Challenge (2008) . He has advised PhD student Johannes Holke , with whom he developed tetrahedral space-filling curves and hybrid AMR algorithms . His teaching includes courses on scientific computing , adaptive mesh refinement , and mathematics in music . The p4est summer school (2020) and collaboration with Donna Calhoun (ForestClaw project) underscore his leadership in computational science outreach and education.

• Seismic Inversion
• Full-Waveform Inversion (FWI)
• Geophysics
• +۳ مورد دیگر

Prof. Thomas Bohlen is a Professor at the Karlsruhe Institute of Technology (KIT), affiliated with the Geophysical Institute (GPI). He leads the GPI research group and is based at Campus West 06.36. His work focuses on advanced seismic imaging techniques, including Full-Waveform Inversion (FWI) and its applications in environmental geophysics, CO₂ sequestration, and glacial sediment characterization. He has contributed to developing numerical methods for seismic wave modeling and boundary conditions like perfectly matched layers (PML). Research Interests: His primary areas include seismic inversion methodologies, viscoelastic and poroelastic modeling, crosshole and surface seismic imaging, and integrating multi-source geophysical data (e.g., GPR and seismic) for subsurface characterization. Applications span CO₂ storage monitoring, glacial geology, and infrastructure safety assessments. Key Achievements: Over 100 peer-reviewed articles since 2013, focusing on FWI advancements, anisotropy detection in glacial sediments, and innovative numerical techniques. He collaborates on projects like the ICDP DOVE site and the Sleipner CO₂ reservoir. His work bridges computational geophysics with field applications, emphasizing high-resolution subsurface imaging. Labs/Teams: Active in the GPI, leading research on FWI and seismic tomography. Involved in the Toolbox for Applied Seismic Tomography (TOAST) and underground lab experiments at Freiberg Reiche Zeche.

• Laser Diagnostics
• Fluid Mixing
• Turbulent Flow Analysis
• +۳ مورد دیگر

Dr. Camilo Eduardo Cárdenas Muñoz is a Researcher at the Karlsruhe Institute of Technology (KIT), affiliated with the Institute for Chemical Technology and Polymer Chemistry. His research focuses on laser-based diagnostics (LIF, PIV, Raman), turbulent flows, and mixing processes in jet-in-crossflow configurations. He holds a PhD in Engineering (Dr.-Ing.) from KIT (2016), with a thesis on fluid mixing diagnostics. Earlier, he earned an Ingeniero Químico from Universidad Central de Venezuela (1997), studying terpene extraction using supercritical CO₂. Professional Experience: Post-doctoral research at KIT's Institute for Hydromechanics (2019-2020), strategic planning at PETROANDINA CYS S.A. (Bolivia), and research roles at KIT's Engler-Bunte-Institute and ECOPROYECTOS S.A. (Venezuela). He is part of the Deutschmann research group and has held a DAAD scholarship (1999-2002). His work spans experimental and computational studies of fluid dynamics, with publications in journals like Experiments in Fluids and Applied Physics B . Research themes include turbulent mixing modeling, flow visualization techniques, and industrial fluid dynamics applications.

• Control Engineering
• Physical Modeling
• System Dynamics
• +۲ مورد دیگر

Ralf Rothfuß is Professor of Control Engineering at the Faculty of Mechatronics and Electrical Engineering, Esslingen University of Applied Sciences. He teaches physical modeling of mechatronic systems, simulation methods for dynamic systems, model-based control, rapid prototyping, and systems engineering. His industrial experience includes 15 years at Robert Bosch GmbH where he held leadership positions in hydraulic simulation, controller design, systems engineering, mechatronic function development, and vehicle dynamics. Key roles included Head of Engineering Systems Mechatronics and Head of Engineering Vehicle Dynamics, developing ABS, ASR, and ESP systems. Consultation hours: Wednesdays 11:00-12:00 (by appointment via email).

• Molecular Simulations
• Computational Chemistry
• Materials Design
• +۳ مورد دیگر

Dr. Meenakshi Joshi is a researcher at the Max Planck Institute for Dynamics of Complex Technical Systems , leading the Molecular Simulations and Design group in Magdeburg, Germany. Her research focuses on theoretical and computational studies of transition metal complexes for electrocatalytic hydrogen evolution, molecular catalyst design, and advanced materials characterization. She holds a Ph.D. and has extensively contributed to the development of novel catalysts for energy storage and green hydrogen technologies. Her work integrates computational chemistry (DFT, molecular dynamics) with experimental techniques to explore catalytic mechanisms and material behaviors. Current projects include designing rigidified FeFe hydrogenase mimics and studying ligand effects on catalytic activity. Her address is Sandtorstrasse 1, 39106 Magdeburg, Germany and can be reached at mjoshi@dynamicsofcomplexsystems.mpg.de . Research interests span inorganic chemistry, catalysis, and computational modeling of energy-related systems. Recent studies highlight her group's work on manganese/ruthenium complexes and bridging dithiolate ligands for hydrogen production applications.