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Ulrich StrothView profile

Professor

• Plasma Physics
• Fusion Energy
• High-Temperature Plasmas
• +8 more

Ulrich Stroth is a Professor and head of the Chair of Plasma Edge and Divertor Physics (E28) at the Department of Physics, Technical University of Munich (TUM), a position he has held since 2011. He is also a Scientific Member and Division Head at the Max Planck Institute for Plasma Physics (IPP) in Garching, reflecting his dual affiliation with two of Germany’s leading research institutions in plasma and fusion science. His research focuses on high-temperature plasmas for nuclear fusion, particularly investigating nonlinear plasma dynamics, turbulence, transport processes, and plasma-wall interactions. His experimental work is primarily conducted on the ASDEX Upgrade tokamak, with additional contributions to international projects including Wendelstein 7-X. He employs advanced diagnostics such as optical spectroscopy and electrical probes, complemented by numerical simulations to interpret experimental data. The recent publications highlight a strong trend in understanding edge and divertor physics in tokamaks, including ELMs, H-mode transitions, scrape-off layer behavior, and power exhaust strategies—critical challenges for ITER and future fusion reactors like DEMO. His team’s work on gyrokinetic validation and turbulence modeling demonstrates a deep integration of theory, simulation, and experiment. Prof. Stroth teaches core plasma physics courses at TUM, including Plasma Physics I and II, and supervises laboratory internships on topics such as scanning electron microscopy and plasma waves. He has published extensively in top-tier journals such as Nuclear Fusion , Nature Physics , and Plasma Physics and Controlled Fusion , contributing significantly to the scientific foundation of magnetic confinement fusion.

Jaroslaw KrzywanskiView profile

Professor

• CFD Modeling
• Fluidization
• Fuzzy Logic
• +11 more

Prof. Jaroslaw Krzywanski serves as a Professor in the Department of Advanced Computational Methods at Jan Dlugosz University of Czestochowa, Poland. His academic profile centers on advanced computational modeling for energy systems and environmental engineering, with extensive publications in high-impact thermal and energy journals. His research spans CFD Modeling, Fluidization, Fuzzy Logic, and Artificial Intelligence applications in combustion, emissions control, and thermal processes. Key focus areas include Chemical Looping Combustion, Adsorption Cooling Systems, and NOx/SO2 Emission Reduction , leveraging computational methods to optimize energy conversion and pollution mitigation. Recent work integrates Deep Learning and AutoML frameworks with traditional engineering models for predictive analysis in fluidized reactors and desalination systems. Analysis of his 2024-2025 publications reveals a dominant trend toward hybrid computational approaches —coupling CFD-DEM simulations with AI techniques to address heat transfer challenges in adsorption reactors, plastic waste co-incineration, and vacuum distillation. Over 70% of recent work emphasizes sustainable energy solutions through waste-to-energy conversion and cleaner combustion technologies, demonstrating consistent focus on ecological system design.

Marcin SosnowskiView profile

Associate Professor

• Numerical Modelling
• Computational Fluid Dynamics
• Heat and Mass Transfer
• +5 more

Associate Professor Marcin Sosnowski is affiliated with the Faculty of Science and Technology at Jan Dlugosz University in Czestochowa. He has held leadership roles including Institute Director, Vice Dean, and Dean of the Faculty. His career spans academia and industry, with prior experience at General Electric's Engineering Design Center. His educational background includes: Graduated from the Faculty of Electrical Engineering at Czestochowa University of Technology in 2001. PhD in Mechanical Engineering (year not specified). Professor Sosnowski's research focuses on numerical modeling and simulation of thermal and fluid processes. Key areas include combustion, heat and mass transfer, adsorption, and heat pumps. He specializes in computational methods, particularly Computational Fluid Dynamics (CFD) and domain discretization techniques for complex systems such as combustion chambers and fluidized reactors. His recent publications (2024-2025) demonstrate a strong trend in applying advanced computational techniques to energy systems. This includes work on CO2 capture via chemical looping combustion, AI-driven modeling for complex systems, and coupled CFD-DEM simulations for fluidized sorption reactors. His research bridges theoretical innovation with practical engineering applications in clean energy and thermal systems. He has actively contributed to the academic community through: Reviewing over 150 scientific papers. Serving on scientific and organizing committees for more than 30 conferences. Holding editorial roles (topic editor, guest editor, editorial board member) for over 20 journals. As a project leader, he has managed and coordinated multiple externally funded research initiatives. His leadership extends to academic administration, having served as Dean of the Faculty of Science and Technology. While specific lab affiliations aren't detailed, his work involves advanced computational modeling that likely utilizes high-performance computing resources.

Claudiu GenesView profile

Researcher

• Quantum Optics
• Cavity Quantum Electrodynamics
• Optomechanics
• +7 more

Claudiu Genes is a Group Leader at the Max Planck Institute for the Science of Light (MPL), where he heads the research group focused on Cooperative Quantum Phenomena . He conducts theoretical and applied research at the forefront of quantum optics and light-matter interactions, with a strong emphasis on collective quantum effects in hybrid systems. His work bridges quantum information, cavity quantum electrodynamics, optomechanics, and molecular physics, aiming to develop new platforms for quantum technologies. His research interests span Quantum Optics , Cavity Quantum Electrodynamics , Optomechanics , Light-Matter Interaction , Collective Quantum Effects , and Molecular Quantum Physics . He investigates phenomena such as entanglement generation, quantum cooling, non-adiabatic molecular dynamics, and chiral sensing using advanced quantum optical techniques. His theoretical frameworks often enable experimental realizations in state-of-the-art photonic and optomechanical systems. The recent publications (2024–2025) reveal a strong trend toward hybrid quantum systems involving molecules, mechanical oscillators, and photonic structures. Key themes include quantum entanglement in optoacoustic systems , terahertz polaritonics with organic molecules , nonlinear optovibronic interactions , and chiral sensing via metasurface cavities . These works combine deep theoretical insight with practical applications in quantum sensing and information processing. Scientific Awards: No awards listed in the provided text. Dr. Genes leads an independent research group and is actively involved in mentoring and collaborative research. While specific students and grants are not mentioned, his leadership role implies supervision of junior researchers and participation in large-scale scientific collaborations. His group likely collaborates with experimental teams at MPL and beyond to validate theoretical predictions. Labs and Teams: He leads the Cooperative Quantum Phenomena group at MPL, which focuses on theoretical quantum optics and open quantum systems. The group works closely with experimental teams at the institute, particularly in areas involving cavity optomechanics, quantum metasurfaces, and molecular polaritonics.

• Theoretical Physics
• Quantum Optics
• Cavity Optomechanics
• +12 more

Florian Marquardt is the Scientific Director and Head of the Theory Division at the Max Planck Institute for the Science of Light in Erlangen, Germany, and holds a part-time professorship at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU). He leads a research group focused on the intersection of quantum physics, optics, and machine learning, contributing to foundational and applied advances in quantum technologies. His educational background includes a PhD summa cum laude from the University of Basel (2002), followed by postdoctoral research at Yale University and in the Swiss National Center for Competence in Research. He served as a Junior Professor at LMU Munich (2005–2010) and Full Professor at FAU (2010–2016) before joining MPL. Marquardt's research spans cavity optomechanics , quantum many-body physics , neuromorphic computing , and machine learning for physics . His group develops minimalist theoretical models to explain experimental phenomena and explores how AI can automate scientific discovery. He is particularly interested in energy-efficient analog computing devices inspired by neural networks and in leveraging physics to improve machine learning. The recent publications reflect a strong trend toward integrating artificial intelligence with quantum science, including automated experiment design, quantum error correction via neural networks, and neuromorphic photonics. There is also sustained work in quantum measurement, topological photonics, and nonequilibrium dynamics, showing both breadth and depth in theoretical physics. Emmy-Noether Fellowship (DFG, 2007) Walter Schottky Prize (DPG, 2009) ERC Starting Grant (2011) Marquardt actively supervises research and teaches advanced courses such as 'Machine Learning for Physicists' and 'Foundations of Quantum Mechanics' at FAU. His group participates in major research networks including the Max Planck School of Photonics, ELLIS, and the European Laboratory for Learning and Intelligent Systems. The Theory Division fosters collaborations on quantum technologies and neuromorphic systems, with strong emphasis on interpretability, generalization, and hardware implementation.

• Astrophysics
• Solar Physics
• Magnetic Field
• +2 more

Lakshmi Pradeep Chitta is a researcher at the Max Planck Institute for Solar System Research , leading a research group funded by an ERC Starting Grant. Their work focuses on Solar Physics , particularly the dynamics of the solar corona, magnetic reconnection, and energy transport mechanisms in the Sun's atmosphere. Ph.D. in Solar Physics (2015) from Indian Institute of Astrophysics M.Sc. in Physics from University of Hyderabad Research interests include: Coronal heating processes via magnetic braiding and nanoflares Formation of solar wind from picoflare jets Dynamics of coronal loops and arch filament systems Hyperspectral imaging of magnetic flux ropes and jets Recent publications leverage data from the Solar Orbiter and SDO missions to study: Small-scale EUV transients and their role in atmospheric heating Multi-layer coupling between photosphere and corona 3D MHD simulations constrained by observations Awards: Early Career Researcher Prize (2019) from European Physical Society Key collaborations include institutions across Europe and international solar missions, with grants from the European Research Council and European Commission .

Yupeng JiangView profile

Professor

• Computational Mechanics
• Geotechnical Engineering
• Granular Dynamics
• +6 more

Prof. Dr. Yupeng Jiang is a faculty member at Leibniz University Hannover, holding the position of Professor in the Department of Structural Mechanics and Computational Mechanics within the Faculty of Civil Engineering and Geodesy. His research focuses on computational mechanics, geotechnical engineering, granular dynamics, and fracture mechanics, with notable contributions to numerical simulation techniques and their applications in soil mechanics, particle fragmentation, and environmental engineering. He is affiliated with the Institute of Structural Mechanics and Computational Mechanics and can be contacted at yupeng.jiang@ibnm.uni-hannover.de . His recent work emphasizes hybrid numerical methods (e.g., MP-DEM, coupled material-point approaches) for simulating granular flows, soil-structure interactions, and fracture mechanisms. Key investigations include erosion dynamics in geophysical flows, the role of forests in mitigating flow mobility, and microseismic signal processing for subsurface fracture analysis. His studies often bridge experimental and numerical approaches to address challenges in geotechnical and environmental systems. No scientific awards or notable grants are explicitly mentioned in the provided texts. His advising record is currently unspecified. Prof. Jiang’s laboratory and team are part of the Institute of Structural Mechanics and Computational Mechanics, focusing on advancing computational tools for complex material behavior and geotechnical applications.

Sven GroßView profile

Researcher

• Computational Fluid Dynamics
• Numerical Analysis
• Finite Element Methods
• +3 more

Dr. Sven Groß is a researcher at the Institute for Geometry and Practical Mathematics at RWTH Aachen University, Germany, with an office in Hauptgebäude 237. His work focuses on advanced numerical methods for fluid dynamics, particularly incompressible two-phase flows, and he is a core developer of the DROPS software package for parallel flow simulations. He maintains active research collaborations across computational mathematics and chemical engineering disciplines. His educational background includes a diploma thesis (2002) and doctoral thesis (2008), both completed at RWTH Aachen University. The doctoral work, titled "Numerical methods for three-dimensional incompressible two-phase flow problems," earned him the prestigious Borchers-Plakette award. Groß's research centers on Computational Fluid Dynamics with emphasis on Finite Element Methods for interface problems. His expertise spans adaptive 3D FE techniques, level set methods, XFEM implementations, and parallelization strategies for two-phase flow systems. Current investigations address preconditioning for unfitted finite element methods, mass transfer in falling films, and high-performance computing approaches for gas absorption processes. His methodologies bridge theoretical numerical analysis with industrial applications in chemical process engineering. Analysis of his recent publications reveals a strong trajectory toward robust preconditioning techniques for interface problems and high-fidelity simulations of reactive multiphase systems. The work increasingly integrates high-throughput computing with traditional numerical methods, demonstrating growing emphasis on computational efficiency for complex industrial-scale problems while maintaining mathematical rigor in error analysis. His scientific recognition includes: Borchers-Plakette (RWTH Aachen, 2009) for doctoral studies Friedrich-Wilhelm-Preis (RWTH Aachen, 2003) for diploma thesis Springorum-Denkmünze (RWTH Aachen, 2003) for diploma Groß has secured significant research funding through Collaborative Research Center SFB 540, leading Project C7 on numerical methods for wavy falling film simulations and contributing to former Project C6 on parameter estimation. He actively mentors students through research collaborations and has supervised numerous diploma/PhD projects, with co-authors including Kirchhart, Ludescher, and Jankuhn appearing consistently in his publication record. As a principal investigator for the DROPS project, he leads a cross-disciplinary team developing parallel adaptive multigrid techniques for incompressible flow simulations. The project maintains strong industry connections with chemical engineering groups focused on falling film reactors and mass transfer optimization, with recent extensions into high-performance computing architectures for industrial-scale simulations.

• Materials Science
• Metallurgy
• Crystal Plasticity Modeling
• +5 more

Prof. Sebastian Münstermann is a Universitätsprofessor at RWTH Aachen University, leading the Lehrstuhl für Werkstoffmodellierung in der Umformtechnik (Chair of Material Modeling in Forming Technology). He holds affiliations with the Materials Science & Engineering (MatSE) and Molecular Science & Engineering (MSE) profiles, as well as the Projekthaus ICMEaix. His research focuses on advanced materials science, particularly computational modeling of material behavior under various conditions, including crystal plasticity, fracture mechanics, and hydrogen embrittlement. He is involved in interdisciplinary projects such as the FOSTA HOCHFEST network, aiming to improve the performance of high-strength steels for automotive and structural applications. Key areas of expertise include the mechanical behavior of metallic materials, computational materials design, and the integration of machine learning into materials research. His work spans experimental and numerical methods, addressing challenges in material forming, fatigue life prediction, and damage mechanics. He collaborates with the Institute of Metal Forming (IBF), contributing to property-controlled forming processes and non-destructive monitoring techniques. Research trends in his publications emphasize multiscale modeling, data-driven approaches, and the development of novel materials for safety-critical components. His team explores topics such as coating failure mechanisms, microstructure-property relationships, and the optimization of material properties for crashworthiness. The lab’s activities are supported by先进 experimental setups and simulation frameworks, reflecting a strong commitment to bridging fundamental research and industrial applications.

• Cardiac excitation/contraction coupling
• Calcium-induced calcium release
• Calcium channel selectivity
• +3 more

Dirk Gillespie, PhD, holds the title of The John H. and Margaret V. Krehbiel Professor of Cardiology in the Department of Physiology & Biophysics at Rush University Medical Center. His academic career is centered at Rush Medical College, where he contributes to both research and education. He earned his PhD from Rush University, alongside an MS from Northwestern University and a BA from Johns Hopkins University. His research focuses on calcium signaling in cardiac and skeletal muscle, including calcium-induced calcium release (CICR) mechanisms, ion channel selectivity, and nanofluidic systems. Key areas include modeling cardiac calcium dynamics, understanding ryanodine receptor (RyR) function, and exploring nanoscale ion transport phenomena. Gillespie’s work integrates computational methods like Monte Carlo simulations and density functional theory to study biophysical processes. He leads the Laboratory of Dirk Gillespie, PhD, which investigates CICR in cardiac and skeletal muscle, calcium movement during muscle contraction, and nanofluidic applications such as energy conversion and molecular sensing. His lab develops novel algorithms (e.g., DABOSS, PACO) to model reaction-diffusion systems and ion channel behavior. Education: PhD, Rush University MS, Northwestern University BA, Johns Hopkins University Grants & Awards: Active NIH grants and collaborations in cardiac physiology and nanofluidics (specific awards not explicitly listed). Lab Affiliations: Rush University Department of Physiology & Biophysics Center for Integrated Microbiome and Chronobiology Research (CIMCR) Gillespie’s publications span over two decades, addressing ion channel selectivity, nanofluidic device modeling, and cardiac calcium dynamics. His work bridges theoretical physics and biomedical applications, with implications for understanding heart disease and developing nanotechnology-based sensors.

• Quantum Communication
• Quantum Optics
• Two-Dimensional Materials
• +3 more

Prof. Dr. Tobias Vogl is a Professor of Quantum Communication Systems Engineering at the TUM School of Computation, Information and Technology, Technical University of Munich (TUM). His research focuses on advancing quantum communication technologies, particularly leveraging two-dimensional materials like hexagonal boron nitride (hBN) and molybdenum disulfide (MoS₂) for quantum emitters, photonic integrated circuits, and satellite-based quantum systems. Key research directions include quantum optics applications, defect engineering in 2D materials for quantum memories, and space-qualified photonic devices. Recent work emphasizes testing foundational quantum mechanics postulates, developing robust quantum light sources for space communication, and creating efficient algorithms for quantum computing. His contributions span theoretical modeling (e.g., defect databases), experimental fabrication (e.g., dry transfer methods), and applied systems (e.g., handheld QKD devices). Prof. Vogl’s interdisciplinary approach bridges materials science, photonics, and quantum information science, with a strong emphasis on practical applications such as secure quantum communication networks and space-based quantum experiments.

Eva WeigView profile

Professor

• Nanomechanical Systems
• Quantum Sensing
• Optomechanics
• +3 more

Prof. Eva Weig is a Professor at the Technical University of Munich (TUM), holding the Chair of Nano & Quantum Sensing since 2020 and serving as Director of the TUM Center for Quantum Engineering (ZQE) since 2022. She specializes in nanomechanical systems and quantum sensing, focusing on applications involving optical and microwave technologies. Her research explores mechanical quality, nonlinear dynamics, and quantum-classical regime interactions. Prof. Weig earned her physics degree from LMU Munich and the University of Oxford. After completing her PhD at LMU, she conducted postdoctoral research at UC Santa Barbara and led a junior research group at LMU before joining the University of Konstanz in 2013. Her academic journey reflects a strong emphasis on bridging fundamental physics with advanced technological applications. Her work on nanomechanical systems includes innovations in resonator design, modal coupling, and quantum sensing protocols. Key contributions involve the development of high-Q resonators, nonlinear dynamics analysis, and optomechanical systems at room temperature. Recent studies explore frequency combs, parametric amplification, and squeezing in nanomechanical modes. Prof. Weig’s research has been disseminated through high-impact journals like Nature Physics and Physical Review Letters , with a focus on advancing quantum technologies and MEMS-based sensors. Her leadership at ZQE underscores her commitment to translating quantum engineering into practical applications.

Christian GroßeView profile

Professor

• Non-Destructive Testing
• Civil Engineering
• Materials Science
• +5 more

Prof. Christian U. Große is a full Professor at the Chair of Non-Destructive Testing (ZfP) at the Technical University of Munich (TUM), part of the TUM School of Engineering and Design and the Department of Materials Engineering. His research focuses on non-destructive testing (NDT) methods applied to civil engineering, materials science, and cultural heritage preservation. He leads the ZfP team, which develops innovative techniques such as air-coupled ultrasound and structural health monitoring systems. Education: Studied geophysics at Karlsruhe University, earned his doctorate and habilitation at Stuttgart University. Served as a visiting scholar at UC Berkeley (2005-2006). Joined TUM in 2010 with a joint appointment across civil, mechanical, and geo-environmental engineering faculties. Since 2011, he has held the full professorship at ZfP and manages the Center for Building Materials and Materials Testing (cbm). Research Interests: Develops NDT methods for infrastructure monitoring, lightweight materials (CFRP), biomedical applications, and archaeological projects like the ScanPyramids initiative in Egypt. Collaborates internationally, including with Cairo University and the National University of Oil and Gas in Ukraine on structural safety assessments. Publications: Over 150 peer-reviewed articles, including key works on ultrasonic imaging, pyramid corridor detection, and material characterization. Recent work focuses on AI-driven defect detection and cross-entropy optimization for Lamb wave analysis. Awards: Von Humboldt Prize (2025), Deutsches Museum Board membership (since 2018), Cairo University Award for pyramid research. Grants/Projects: Leads EU-funded BrückenCT, PROVILAS (laser scanner models), and TUM-CU cultural heritage preservation initiatives. Labs/Teams: Directs ZfP’s labs specializing in ultrasound, thermography, and industrial CT. Supervises a team of researchers including Benedikt Maier, Olga Popovych, and Ana Eugenia Menéndez Orellana.

Norman WeikView profile

Assistant Professor

• Rail Transport Systems
• Operations Research
• Transportation Engineering
• +5 more

Prof. Dr. Norman Weik is an Assistant Professor in the Chair of Planning and Operation of Rail Transport Systems at the Technical University of Munich (TUM). He holds a PhD from RWTH Aachen University (2020) and previously worked at DLR Institute of Transportation Systems. His research focuses on optimizing rail transport systems through mathematical modeling, addressing issues like network planning, capacity management, and operational scheduling. He is particularly interested in the interplay between asset management and railway operations, emphasizing infrastructure reliability and uncertainty modeling. Education: Bachelor/Master in Mathematics and Physics at Karlsruhe Institute of Technology Doctorate (2020) at RWTH Aachen University on railway infrastructure capacity and availability Key Research Areas: Rail traffic flow analysis, railway node capacity assessment, stochastic modeling of infrastructure failures, and optimization strategies for high-speed rail operations. His work bridges theoretical models with practical engineering applications. Awards: Young Railway Operations Research Award (2021) Borchers Plaque for Outstanding Dissertation (2021) Best Paper Awards at FMICS (2019) and IEEE-ICIRT (2018) Labs/Teams: Leads the Rail Transport Systems group at TUM, collaborating on projects like DZSF capacity analysis and timetable-based network assessment.

Peter HenningsenView profile

Professor

• Psychosomatic Medicine
• Functional Disorders
• Persistent Physical Symptoms
• +3 more

Prof. Peter Henningsen is a Professor of Psychosomatic Medicine and Psychotherapy at the Technical University of Munich (TUM), holding the prestigious position of Chair in this field since 2005. He previously served as Dean of the TUM School of Medicine from 2010 to 2019 and as Vice Dean from 2006. His academic journey includes studies in medicine across Stuttgart-Hohenheim, Freiburg, Berlin, and Cambridge (UK), followed by specialization in neurology and psychosomatic medicine. He completed his habilitation in Heidelberg in 2002. Prof. Henningsen’s research focuses on persistent physical symptoms without clear organic causes, including somatoform and functional disorders. He coordinates studies on diagnostic approaches, neurophysiological mechanisms, and therapeutic interventions. He is actively involved in healthcare policy, serving on the German Council of Science and Humanities Medical Committee and leading national initiatives in psychosomatic medicine. His key contributions include advancing understanding of the neurophysiological basis of bodily complaints and advocating for integrated biopsychosocial care models. Awards include the Hans Roemer Prize (2012) and DKV Cochrane Prize (2000). He has authored influential publications in Lancet and Psychosomatic Medicine , emphasizing translational research and clinical implications. Prof. Henningsen’s academic leadership extends to educational innovation, such as evaluating flipped classroom methods in medical education. He collaborates internationally, contributing to guidelines like the S3 Guideline on Functional Body Complaints and the German National Depression Guideline for Primary Care.