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Jia ChenView profile

Professor

• Urban greenhouse gas monitoring
• Atmospheric modeling
• Sensor development
• +7 more

Professor Jia Chen is a Professor of Environmental Sensing and Modeling at the Technical University of Munich (TUM), holding positions in both the TUM School of Computation, Information and Technology (CIT) and the Department of Electrical and Computer Engineering, as well as the Department of Civil, Geo and Environmental Engineering. She also maintains an affiliation as an Associate at Harvard University. Her pioneering work focuses on developing novel optical sensors and atmospheric models to monitor and quantify greenhouse gas emissions in urban environments. Professor Chen's most significant contribution is the development of the differential column measurement method and the establishment of MUCCnet, the world's first permanent urban column sensor network. This groundbreaking work enables continuous, city-wide monitoring of greenhouse gases. Her research team has made notable discoveries, including quantifying methane emissions from events like the Munich Oktoberfest and identifying previously underestimated urban emission sources. Her research spans atmospheric science, environmental engineering, and climate change mitigation, with particular emphasis on: Urban greenhouse gas monitoring systems Advanced atmospheric modeling techniques Sensor network development for environmental monitoring Integration of machine learning with emission quantification Urban air quality assessment methodologies Professor Chen has received numerous prestigious awards including: Timothy Oke Award (2024) for original research in urban climatology ERC Consolidator Grant (2022) Arnold Sommerfeld-Award (2021) Germany's "Top 40 under 40" recognition by Capital Magazine (2020) Membership in the Global Young Academy (2021) She leads an extensive research group with numerous PhD students and postdoctoral researchers, and her work is supported by major funding from ERC, EU Horizon 2020, United Nations Environment Programme, NASA, ESA, German Federal Ministry of Education and Research, and German Research Foundation. Professor Chen has authored over 180 publications and 12 patents, with an h-index of 35.

Frederik TilmannView profile

Professor

• Seismology
• Geophysics
• Earthquake Analysis
• +3 more

Prof. Dr. Frederik Tilmann is a leading seismologist at the GFZ German Research Centre for Geosciences (Section 2.4 Seismology) and a professor at the Freie Universität Berlin . His work focuses on seismic waveform analysis to understand geodynamic processes in subduction zones and continental collisions. Current affiliations: Head of Seismology Section, GFZ Potsdam University Professor, Freie Universität Berlin Research interests include: Earthquake source characterization Seismic tomography methods Mantle dynamics and lithospheric deformation Machine learning applications in seismic data analysis Volcano-seismic monitoring Ocean bottom seismology techniques Recent publications highlight advancements in: Full waveform inversion for mantle dynamics Machine learning for seismic phase picking Anisotropy studies in Alpine and Himalayan regions Subduction zone microseismicity analysis Volcano-induced landslide detection Scientific awards include: Feodor-Lynen Fellowship (Humboldt Foundation) Trinity Hall College Staff Fellowship Multiple citations in high-impact journals Collaborative work spans global seismic infrastructure projects like SMART cables, the Collaborative Seismic Earth Model, and the AlpArray network. His methodology innovations in shear wave splitting and depth phase picking have become standards in computational seismology.

• X-ray Physics
• Synchrotron Radiation
• Medical Imaging
• +5 more

Benedikt Günther is a research scientist at the Technical University of Munich (TUM) working within the Chair of Biomedical Physics led by Prof. Dr. Franz Pfeiffer. His research focuses on the Munich Compact Light Source (MuCLS), a laboratory-scale inverse Compton X-ray source that provides synchrotron-like radiation for biomedical applications. Günther plays a key role in developing, optimizing, and characterizing this innovative technology, contributing to both its fundamental physics and practical medical applications. His primary research interests center around X-ray physics and imaging techniques, particularly laser enhancement cavities for inverse Compton X-ray sources, X-ray microscopy, dynamic phase-contrast imaging, and X-ray spectroscopy. Günther's work bridges fundamental physics with practical medical applications, developing instrumentation that brings synchrotron-quality imaging to conventional laboratory settings. His research has significant implications for improving medical diagnostics while making advanced imaging techniques more accessible. Analysis of Günther's publication record reveals a consistent focus on advancing compact X-ray source technology and its applications. His work demonstrates expertise in both theoretical modeling and experimental implementation, with publications spanning instrument development, imaging techniques, and specific medical applications. The research shows progression from fundamental source characterization to increasingly sophisticated biomedical applications, particularly in breast imaging, dental diagnostics, and materials science. 2019 Best Poster Award at the combined meeting of the 68th Denver X-ray Conference (DXC) & 25th International Congress on X-ray Optics and Microanalysis (ICXOM) for 'Full-Field Structured Illumination Super-Resolution X-ray Transmission Microscopy' Günther regularly presents his work at major international conferences including the International Particle Accelerator Conference, High-Brightness Sources and Light-driven Interactions Congress, and specialized X-ray imaging meetings. His research is conducted within the Munich Compact Light Source facility, a collaborative project involving physicists, engineers, and medical researchers working to develop laboratory-scale synchrotron technology for widespread biomedical use.

• Antenna Measurement
• Electromagnetic Field Theory
• Near-Field to Far-Field Transformation
• +5 more

Dr. Alexander Paulus serves as a Researcher at the Chair of High-Frequency Engineering within the Department of Electrical Engineering at the Technical University of Munich (TUM), School of Computation, Information and Technology. Working under Prof. Dr.-Ing. Thomas Eibert, he contributes to advanced electromagnetic research and measurement systems development at TUM's Arcisstr. 21 campus in Munich. Research Expertise His core specialization lies in near-field antenna measurement and transformation techniques, with significant contributions to phase retrieval algorithms, inverse source methods, and UAV-based electromagnetic field measurements. He addresses critical challenges including probe correction with unknown antennas, sparse sampling for directive antennas, and electromagnetic modeling of environmental effects like rain attenuation. His work bridges theoretical electromagnetics with practical antenna characterization solutions. Publication Trends From 2014-2025, Paulus has published 25+ papers focusing on near-field to far-field transformations, particularly in phaseless and multi-probe scenarios. Recent work (2023-2025) demonstrates innovation in spectral filtering, sparse reconstruction, and UAV-based systems for defect localization and wet antenna modeling. His research increasingly integrates computational techniques to solve complex inverse problems in antenna measurements. Scientific Recognition No formal awards documented in available information Academic Contributions Student Mentoring: No advisees listed in provided materials Research Funding: Grant details not specified in source text Research Environment Paulus operates within TUM's Chair of High-Frequency Engineering facilities, which include advanced near-field measurement ranges, UAV-based electromagnetic characterization systems, and laboratories for metamaterials research and electromagnetic compatibility testing. His work supports applications in 5G/6G communications, aviation navigation systems, and precision antenna diagnostics.

Jochen WolfView profile

Professor

• Evolutionary Biology
• Speciation Genomics
• Genome Evolution
• +7 more

Jochen Wolf is Chair of the Evolutionary Biology Division at Ludwig-Maximilians-Universität München (LMU) and a Max Planck Fellow of the Max Planck Institute for Biological Intelligence since 2022. His research integrates evolutionary biology, genomics, and ecology to address fundamental questions about speciation, adaptation, and biodiversity across multiple biological systems. Dr. Wolf's research program applies an integrative approach to understand microevolutionary processes and genetic mechanisms underlying species divergence. His work combines large-scale genomic analyses with laboratory and field experiments to characterize genomic divergence across populations and species. Key empirical systems include natural populations of birds (particularly corvids, swallows, and cuckoos), marine mammals (pinnipeds and killer whales), plant communities, and experimental evolution in fission yeast. His research spans multiple scales from immediate microevolutionary processes to broader evolutionary patterns across time. His recent publications reveal a sophisticated integration of genomic, epigenetic, and ecological perspectives. A notable trend shows increasing focus on structural genomic variation, chromosomal rearrangements, and epigenetic mechanisms as drivers of evolutionary processes. His work demonstrates how these molecular mechanisms interact with ecological factors to shape patterns of biodiversity and adaptation. Dr. Wolf's research has gained significant recognition through publications in top-tier journals including Nature, Science, and Nature Ecology & Evolution. His groundbreaking studies on crow hybrid zones, killer whale ecotypes, and experimental evolution of speciation have been featured in prominent media outlets such as The New Yorker, The Guardian, Scientific American, and Der Spiegel, demonstrating the broad impact of his work. As Principal Investigator, Dr. Wolf actively mentors doctoral students and postdoctoral researchers, fostering the next generation of evolutionary biologists. His lab maintains strong international collaborations, particularly through affiliations with SciLifeLab in Uppsala. Research in his group is supported by multiple funding sources including German Research Foundation grants and European Union programs, enabling both fundamental research and applications to conservation biology. The Wolf lab operates within LMU's Division of Evolutionary Biology, which provides access to state-of-the-art facilities including the Leibniz Supercomputing Centre. The lab maintains strong connections with the Max Planck Institute for Biological Intelligence and SciLifeLab in Uppsala, creating a rich collaborative environment for interdisciplinary research in evolutionary genomics. This network enables comprehensive studies spanning from molecular mechanisms to ecological and evolutionary consequences across diverse biological systems.

• Optimal Control of Partial Differential Equations
• Variational Inequalities
• Nonsmooth Infinite-dimensional Optimization
• +5 more

Dr. Constantin Christof is a Lecturer (Akademischer Rat auf Zeit) at the Department of Mathematics , Technische Universität München , with prior roles as a W2 Stand-in Professor at Universität Augsburg and Research Associate at TUM and TU Dortmund. His research focuses on Optimal Control of PDEs , Variational Inequalities , and Nonsmooth Optimization , with applications in Non-Newtonian Fluids and Neural Networks . May 2015 - July 2018: Dr. rer. nat. in Mathematics, TU Dortmund Oct. 2013 - July 2014: MAST (Part III of Mathematical Tripos), University of Cambridge Oct. 2009 - Sept. 2012: B.Sc. in Technomathematics and Mathematics, TU Dortmund Christof's work bridges Finite Element Error Analysis , Sensitivity Analysis , and Physics-Guided Machine Learning , particularly in problems involving Contact Mechanics and Parabolic PDE Constraints . His recent publications address challenges in Semilinear Elliptic PDEs , Obstacle Problems , and Nonsmooth Superposition Operators , with a focus on theoretical and numerical advancements. Scientific awards include the Dissertation Award and Best Graduate Award from TU Dortmund, and the Award for Academic Excellence by the Minister President of North Rhine-Westphalia. He has supervised 11 theses at the Master's and Bachelor's levels, covering topics from Neural Network Surrogate Models to Bingham Fluid Simulations .

Irwin YouseptView profile

Professor

• Electromagnetics
• Numerical Analysis
• Optimization
• +3 more

Prof. Dr. Irwin Yousept is a Full Professor of Mathematics at Universität Duisburg-Essen, leading the research group AG Optimal Control of Partial Differential Equations. His work focuses on the mathematical analysis and numerical solutions of electromagnetic problems, particularly in superconductivity and inverse problems. He holds a PhD from TU Berlin (2008) and has held academic positions at TU Darmstadt and TU Berlin. His research includes PDE-constrained optimization, numerical analysis, and applications in high-temperature superconductivity and electromagnetic shielding. Affiliations: Universität Duisburg-Essen, Fakultät für Mathematik Education: Diplom (2005), PhD (2008) in Mathematics from TU Berlin Research interests span Maxwell's equations, numerical methods for PDEs, and optimal control, with applications in superconductivity, electromagnetic shielding, and induction heating. He has authored over 40 publications and received awards including the Richard-von-Mises-Preis GAMM (2014). Current grants include DFG-funded projects on inverse problems and superconductivity.

Rezan Demir-CakanView profile

Professor

• Rechargeable batteries
• Electrochemical technologies
• Electrode materials
• +2 more

Prof. Dr. Rezan Demir-Cakan is a leading academic in Chemical Engineering at Gebze Technical University’s Faculty of Engineering, with a focus on rechargeable battery technologies and electrochemical systems. Holding a PhD (2006-2009) from the Max Planck Institute and postdoctoral experience at CNRS (2009-2012), she bridges fundamental research with industrial applications through projects like Türkiye-France bilateral collaborations and TÜBİTAK grants. Her work spans Li-S, Na-ion, and aqueous electrolyte batteries, emphasizing scalable solutions and sustainable materials. Education: PhD: Max Planck Institute Colloids and Interfaces (2006-2009) MSc: Yildiz Technical University (2002-2005) BSc: Yildiz Technical University (1997-2002) Research Interests: Her group investigates advanced electrode materials, hydrothermal carbonization for battery components, and aqueous electrolyte systems. Specialized areas include polysulfide/polysulfate cathodes, inverse vulcanization polymer synthesis, and sustainable carbon precursor utilization from agricultural waste. Projects often address capacity fading mechanisms and industrial-scale battery design. Recent Publications: Her 15 most recent articles (2019-2020) focus on sodium-ion anodes, Li-S interlayer engineering, and aqueous electrolyte stability. Keywords span Energy Storage, Electrochemistry, and Polymer Chemistry, with subfields like Tin Sulfide Synthesis, Polysulfide Management, and Biomass-Derived Electrodes. Scientific Contributions: ODTU Research Incentive Award (2019) TÜBİTAK METATEG Advisory Board (2018-2019) Sorbonne University Invited Professor (2019) TUBA-GEBIP Distinguished Scientist (2018) Horizon 2020 Evaluator (2014-present) Advising & Projects: She has mentored 10+ PhD and Master’s students in sodium/Li-S battery research and led or advised 12+ grants including TÜBİTAK 1001 projects and France-Turkey bilateral collaborations. Her lab integrates materials synthesis, electrochemical testing, and industrial scalability analysis.

• Crystal Plasticity
• Materials Science
• Computational Materials Engineering
• +5 more

Martin Diehl is a computational materials scientist affiliated with KU Leuven (Departments of Computer Science and Materials Engineering) and the Max-Planck-Institut für Eisenforschung GmbH in Germany. His work focuses on crystal plasticity simulations, computational materials engineering, and multi-physics modeling of metallic systems. Research interests include: Crystal plasticity finite element method (CPFEM) and spectral solvers Microstructure evolution and damage mechanics Machine learning applications in materials design Development of the DAMASK simulation toolkit Multi-phase steel alloys and heterogeneous deformation Integrated computational materials engineering (ICME) Key trends in his publications since 2021 highlight advancements in: Multi-physics DAMASK framework for coupled chemo-mechanical and thermal simulations AI-driven inverse design of steel microstructures Damage modeling in dual-phase steels Collaborative software development for materials science Experimental-simulation integration for stress-strain partitioning High-resolution spectral methods for finite strain analysis He actively collaborates with institutions like Harbin Institute of Technology, University of Oxford, and research groups across Europe and Asia.

• Seismology
• Geophysics
• Planetary Science
• +3 more

Prof. Heiner Igel is a Professor at the Department of Earth and Environmental Sciences, Ludwig-Maximilians-Universität (LMU) München. His research focuses on seismology, planetary geophysics, and structural health monitoring, leveraging advanced numerical methods and sensor technologies. He leads projects involving multi-component seismic measurements, seismic wave modeling, and planetary exploration instruments. Key research areas include rotational ground motion analysis, nonlinear seismic wave propagation, and subsurface imaging for Earth and planetary bodies. His work integrates cutting-edge numerical techniques like discontinuous Galerkin methods and Markov Chain Monte Carlo sampling for earthquake dynamics and material parameter inversion. Prof. Igel’s contributions include the NEPOS project for planetary seismic networks and collaborations with instruments like ROMY (Ring Laser Gyroscope). His studies span bridge monitoring, lunar subsurface exploration, and environmental seismology, emphasizing interdisciplinary applications of geophysical data.

Rainer HeintzmannView profile

Professor

• Super-resolution microscopy
• Optical microscopy
• Point spread function calculation
• +4 more

Prof. Dr. Rainer Heintzmann serves as Head of the Microscopy Department at the Leibniz Institute of Photonic Technology (Leibniz-IPHT) in Jena, Germany. His research focuses on advancing optical microscopy techniques, particularly super-resolution methods that surpass the diffraction limit to visualize cellular structures at nanoscale resolution. His primary research interests center on structured illumination microscopy (SIM), point spread function modeling, and computational imaging techniques. He has made significant contributions to developing automated multicolor SIM systems, extreme ultraviolet microscopy approaches, and deep learning-enhanced image analysis methods. His work bridges optical physics, computational algorithms, and biomedical applications, with particular emphasis on making advanced microscopy techniques more accessible through open-source hardware and software solutions. Analysis of his recent publications reveals a strong focus on overcoming fundamental limitations in optical microscopy. His research spans from theoretical modeling of optical systems to practical implementations for biological imaging. Key trends include the development of more accurate point spread function calculations, expansion of super-resolution techniques to new wavelength regimes, and integration of machine learning for image analysis and segmentation. Prof. Heintzmann actively collaborates with researchers across multiple institutions, as evidenced by his co-authorship on numerous interdisciplinary publications. His work has appeared in high-impact journals including Nature Methods, Nature Reviews Molecular Cell Biology, and Optics Express, reflecting the significance of his contributions to advancing microscopy techniques. His laboratory at Leibniz-IPHT appears to focus on developing novel microscopy instrumentation, particularly open-source implementations of super-resolution techniques. Recent projects include the openSIMMO platform for automated multicolor structured illumination microscopy and work on extreme ultraviolet microscopy that could potentially extend super-resolution capabilities into the X-ray regime.

• Numerical Analysis
• Uncertainty Quantification
• Inverse Problems
• +3 more

Oliver G. Ernst is a Professor of Numerical Analysis at Technische Universität Chemnitz . His research focuses on Numerical Analysis , Uncertainty Quantification , and Inverse Problems , with applications in Thermo-Hydro-Mechanical (THM) processes , Electromagnetics , and Stochastic Partial Differential Equations . He is associated with the Numerical Analysis group at TU Chemnitz. Key Research Areas : Efficient numerical methods for PDEs Krylov subspace techniques Stochastic finite element methods Multi-physics modeling Geoscientific applications Recent Publications (2025-2010): THM simulations under uncertainty Neural network PDE solvers Bayesian inversion frameworks Rational Krylov algorithms Deflated restarting strategies Collaborations : TU Bergakademie Freiberg University of Manchester Technical University of Munich University of Maryland University of Geneva Software Development : Contributor to OpenGeoSys platform Developer of FEMALY MATLAB library Academic Recognition : h-index 32, i10-index 66, with over 4423 citations since 2020.

Nicolas MansardView profile

Researcher

• Robotics
• Humanoid Robotics
• Sensor-Based Control
• +6 more

Nicolas Mansard is a permanent researcher at LAAS-CNRS in Toulouse, France, where he has been working since October 2008. He is a member of the Gepetto research group alongside Philippe Souères, Florent Lamiraux, Olivier Stasse, and Jean-Paul Laumond. He defended his Habilitation à Diriger des Recherches (HDR) in July 2013 on the topic of motion semiotics. In 2013, he was an invited researcher at Emo Todorov's lab at the University of Washington, Seattle. His research focuses on sensor-based control, particularly the integration of sensor-based schemes into humanoid robot applications. His work spans the intersection of robotics, automatic control, signal processing, and numerical mathematics, with humanoid robotics as his primary application field. Mansard has made significant contributions to hierarchical quadratic programming for fast online humanoid-robot motion generation, inverse dynamics control, and sensor-based control systems. Mansard has received prestigious awards including the CNRS Bronze Medal in 2015 and the Grand Prix de l'ANR in 2016 for his project ANR Entracte. His research has resulted in numerous publications in top robotics journals and conferences, with a focus on motion generation, control theory, and humanoid robotics applications. His work has been particularly influential in developing efficient algorithms for hierarchical task control and inverse dynamics. 2015 CNRS Bronze Medal for research in robotics Grand Prix de l'ANR in 2016 for project ANR Entracte Associate Editor for IEEE TRO since July 2013 Mansard has advised numerous PhD students including Justin Carpentier, Mathieu Geisert, Oscar Ramos, and Sovannara Hak. He has secured significant research funding including leading the ANR project ENTRACTE (starting November 2013) and serving as CNRS coordinator and work package leader for the FP7 EuRoc project. He has also taught courses in advanced robotics at Supaero, mathematics for motion generation at École Normale Supérieure, and experimental humanoid robotics at INSA, all in Toulouse. His research group has been involved in developing open-source software for motion generation, notably the Stack of Tasks framework, which has been widely adopted in the robotics community. His work on humanoid robot dance with HRP-2 demonstrated the practical applications of his theoretical contributions to motion generation and control.

• Power Systems
• Renewable Energy
• Electric Vehicles
• +2 more

Haitham Abu-Rub is a Professor at Texas A&M University at Qatar specializing in power systems, renewable energy integration, and power electronics. His research focuses on developing innovative solutions for grid stability, EV charging infrastructure, and intelligent control systems. He has published extensively in IEEE journals and conferences, addressing challenges in smart grids and sustainable energy systems. His work spans power converter design, fault diagnosis, and AI applications in energy management. Recent projects include decentralized PV trading systems, resilient inverter networks, and physics-informed neural networks for insulation diagnostics. Dr. Abu-Rub collaborates internationally on projects involving grid-interactive buildings, digital twins for power converters, and adaptive control techniques for electric vehicle charging.

• Combinatorial Optimization
• Algorithm Design
• Game Theory
• +3 more

Jannik Matuschke is an Associate Professor of Operations Management at the Department of Decision Sciences and Information Management, KU Leuven (Belgium). He holds affiliations with the KU Leuven Institute for Artificial Intelligence (Leuven.AI) and the KU Leuven Institute for Mobility (LIM). His research focuses on combinatorial optimization, algorithm design, game theory, robustness under uncertainty, and applications in logistics and production systems. Education: PhD in Mathematics (2013) from TU Berlin, advised by Martin Skutella and Britta Peis Postdoctoral positions at Universidad de Chile (2014) and TU München (2016–2018) DAAD P.R.I.M.E. fellowship at University of Rome 'Tor Vergata' (2015) Research Themes: Design of resilient infrastructures using multi-stage optimization Stochastic and robust project scheduling Applications in logistics network analytics and congestion modeling Recent Contributions: Recipient of the 2024 Meritorious Service Reward from Operations Research Journal Co-chair of WAOA 2025 and editorial roles at Omega, Operations Research Letters, and OR Spectrum Active in international workshops like FRICO 2025 and the Santiago Summer Workshop on Combinatorial Optimization Academic Leadership: Supervises 5 current PhD/postdoc researchers across logistics and optimization Coordinates the Master's Thesis program in Production and Logistics at KU Leuven Manages research projects on robust infrastructure design (2022–present) and stochastic scheduling (2020–present)