جستجوی استاد راهنمای دانشگاهی

Alexander Puschمشاهده پروفایل

مدرس ارشد

• 3D printing in physics education
• Microcontrollers (Arduino/ESP32)
• Low-cost experiments in wave and quantum optics
• +۴ مورد دیگر

Dr. Alexander Pusch is a Senior Lecturer at the Institute for Physics Education at the University of Münster. He holds a Ph.D. in Natural Philosophy from the University of Duisburg-Essen (2014) and has been active in physics education since 2015. His academic roles include teaching courses like Introduction to Physics Didactics and supervising research projects focused on innovative teaching methods and technologies. Education: 2009–2014: Doctorate in Natural Philosophy at the University of Duisburg-Essen Research Interests: His work prioritizes accessible, low-cost experimental setups using 3D printing, microcontrollers (Arduino/ESP32), and smartphone integration. Key areas include quantum optics education, wave phenomena, inclusive teaching strategies, and diagnosing student misconceptions. He emphasizes practical, hands-on learning and the application of modern technologies in classrooms. Projects & Grants: Co-leads the QuantumMiniLabs project (2024–2027), funded by the German Federal Ministry of Research. Developed low-cost bioreactor systems for teacher training (BIOR3D, 2023–2024). Organized DPG teacher training events on topics like 3D printing and microcontrollers in physics education. Teaching: Teaches seminars on computer-based experiments, physics didactics, and laboratory demonstrations. Collaborates with schools and institutions like the Gesamtschule Waltrop and Euregio-Gymnasium Bocholt to integrate maker technologies into curricula. Awards & Recognition: While no specific awards are listed, his contributions to inclusive education and innovative didactics have been highlighted in peer-reviewed publications and funded projects. Labs & Teams: Works within the Institute for Physics Education’s collaborative environment, focusing on experimental setups for teacher training and school integration. Collaborations include the Alexianer Werkstätten for 3D-printed educational materials.

Jonas Kucklingمشاهده پروفایل

پژوهشگر ارشد

• Artificial Life
• Swarm Robotics
• Artificial Intelligence
• +۳ مورد دیگر

Jonas Kuckling is a postdoctoral researcher at the Department of Computer and Information Science, University of Konstanz, and a fellow at the Zukunftskolleg. His research focuses on artificial life and swarm robotics, particularly open-endedness in embodied collectives, integrating disciplines including biology, chemistry, physics, computer science, philosophy, and art. Dr. Kuckling obtained his doctoral degree in April 2023 from the Artificial Intelligence research laboratory (IRIDIA) at the Université Libre de Bruxelles, Belgium. His doctoral work established foundations for his current investigations into emergent collective behaviors in robotic systems. His primary research interests center on artificial life and swarm robotics, with emphasis on open-ended evolution in embodied collectives. He explores how interdisciplinary approaches can generate autonomous systems capable of continuous novelty without external direction, bridging computational models with biological principles of self-organization and adaptation. This work addresses fundamental challenges in scalability, robustness, and emergent complexity in multi-robot systems. Analysis of his recent publications reveals a concentrated focus on automatic modular design of robot swarm control software, particularly through behavior trees and optimization techniques like simulated annealing. His work progresses from theoretical frameworks (e.g., manifestos on off-line design) to practical implementations (AutoMoDe tools), with increasing integration of learning, communication, and edge computing in large-scale swarm deployments. No scientific awards are documented in available sources. Dr. Kuckling currently leads an interdisciplinary research project at the Zukunftskolleg, collaborating with experts in complex systems, artificial life, AI, and robotics to advance open-endedness in embodied collectives. No information is available regarding student advising or specific grant funding beyond his fellowship appointment.

• Quantum Optics
• Quantum Sensing
• Atom Interferometry
• +۳ مورد دیگر

Dr. Naceur Gaaloul is a Researcher at the Institute of Quantum Optics within the Faculty of Mathematics and Physics at Leibniz University Hannover. His primary research focuses on quantum sensing, atom interferometry, and ultra-cold quantum gases. He is affiliated with the QUEST Leibniz Research School and the Laboratory for Nano and Quantum Engineering, emphasizing interdisciplinary collaboration in quantum technologies. His work spans theoretical and experimental advancements in atom interferometry, including gravitational measurements, quantum metrology, and space-based applications. Notable contributions include the development of long-baseline atom interferometers, Casimir-Polder interaction studies, and precision sensing techniques for gravitational and magnetic fields. Dr. Gaaloul also contributes to space missions like the Bose-Einstein Condensate and Cold Atom Laboratory (BECCAL) and the CARIOQA-PMP quantum accelerometer pathfinder. Research interests include quantum gas manipulation, BEC engineering, and the application of quantum technologies in microgravity environments. His publications highlight innovations in interferometric design, sensor software, and collaborative workshop outcomes for advancing quantum instrumentation.

• Additive Manufacturing
• Microgravity Engineering
• Space Technology
• +۳ مورد دیگر

Dr. Christoph Lotz is a Researcher and Team Leader at the Institute of Transport and Automation Technology within the Faculty of Mechanical Engineering at Leibniz University Hannover. He leads the Production in Space team and manages the Einstein-Elevator facility, a unique drop tower enabling microgravity research. His roles also include overseeing the Task Group M4: Machines, Automation and Organization and contributing to the QUEST Leibniz Research School . His research focuses on microgravity engineering , with expertise in additive manufacturing processes under space conditions, laser-based material processing, and advanced experimental facilities. Key projects involve developing in-space manufacturing technologies like laser metal deposition and ultrasonic levitation systems, alongside gravitational physics experiments using atom interferometry. Lotz’s work spans the Exzellenzcluster PhoenixD and HITec – Hannover Institute of Technology , emphasizing interdisciplinary collaboration. His facility innovations, such as the Einstein-Elevator, enable studies from 0g to 5g environments, supporting both academic and applied research in space technologies.

Bernhard Schuberthمشاهده پروفایل

پژوهشگر

• Computational Seismology
• Geodynamics
• Mantle Dynamics
• +۳ مورد دیگر

Bernhard Schuberth is a Senior Research Scientist in the Department of Earth and Environmental Sciences at Ludwig-Maximilians-Universität München, specializing in Geodynamics. His work bridges computational seismology, geodynamics, and mineral physics to understand Earth's deep structure and dynamics. He holds a PhD (summa cum laude, 2009) and a Habilitation (2023) in Geophysics from LMU Munich. His research focuses on mantle circulation models, seismic wave propagation, and tomographic filtering. Education: Diplom in Geophysics (2004, LMU Munich), PhD (2009), and Habilitation (2023). Awards include the Edison Award Silver Prize (2004) and a Marie-Curie Fellowship (2010–2012). Research Interests: Combining numerical simulations of seismic wave propagation with geodynamic models to test hypotheses about mantle dynamics. Key tools include spectral element methods, mantle flow modeling, and mineral physics-based phase transitions. Publications highlight: Recent work addresses uncertainties in mantle temperature estimates (2025), tomographic resolution (2024), and mantle flow trajectories (2023). Earlier studies validated thermal explanations for superplumes (2012) and post-perovskite constraints (2018). Awards and Grants: Recipient of grants from the Marie-Curie program and the German Excellence Network. Active in collaborative projects like PRACE DECI and GLOBALSEIS. Labs/Teams: Leads computational geophysics projects using high-performance computing. Collaborates with international groups on mantle dynamics and seismic modeling.

• High-Performance Computing
• Parallel Computing
• Deep Learning
• +۳ مورد دیگر

Enrique S. Quintana-Ortí is a Professor at the Technical University of Valencia and Jaume I University , Spain, specializing in Computer Science of Systems and Computers . His work bridges High-Performance Computing (HPC) , Parallel Computing , and Deep Learning , with a focus on optimizing Matrix Algorithms for modern architectures. Key research areas: Quantized Inference , GEMM-Based Convolutions , GPU Acceleration , and Performance Portability across ARM, RISC-V, and NVIDIA processors. Recent projects include RED-SEA (European interconnect solutions), GreenLightningAI (decoupled AI systems), and Ginkgo (GPU-based linear algebra frameworks). His publications (2023–2025) emphasize edge computing , mixed-precision techniques , and energy-efficient AI . Collaborative efforts span institutions like Xilinx , Fujitsu , and co-authors such as Adrián Castelló , Héctor Martínez , and Francisco D. Igual .

Axel Klarمشاهده پروفایل

استاد

• Kinetic Theory
• Traffic Flow Modeling
• Pedestrian Dynamics
• +۶ مورد دیگر

Prof. Axel Klar is a Professor in the Department of Technomathematics at the Rheinland-Palatinate University of Applied Sciences (RPTU) Kaiserslautern-Landau. His research focuses on mathematical modeling of complex systems, with a strong emphasis on kinetic theory, fluid dynamics, and applied analysis. Key areas of expertise include traffic flow dynamics, fiber dynamics in industrial processes, pedestrian movement patterns, and biological systems such as cell motion and tumor growth. He develops and analyzes numerical methods for partial differential equations and stochastic systems, often addressing challenges in technical textile production, non-equilibrium thermodynamics, and multi-physics simulations. His work bridges microscopic particle-based models with macroscopic continuum descriptions, emphasizing asymptotic methods and domain decomposition techniques. Notable contributions include stochastic fiber lay-down models for nonwoven manufacturing, mesh-free particle methods for granular and rarefied gas flows, and kinetic-based traffic models with applications to autonomous vehicles and crowd control. Current research explores data-driven approaches for coupled systems in socio-economic and biomedical contexts. Prof. Klar’s interdisciplinary projects involve collaborations with industry partners (e.g., in textile engineering) and academic institutions globally. His team develops open-source numerical toolkits for applications ranging from radiation therapy optimization to climate-resilient infrastructure design. Recent efforts focus on AI-driven parameter estimation for high-dimensional PDE systems and uncertainty quantification in multi-scale modeling.

• Optimization with PDE constraints
• Radiative Heat Transfer
• Quantum Drift Diffusion
• +۴ مورد دیگر

Prof. Dr. René Pinnau is a Full Professor of Industrial Mathematics at the Department of Mathematics, Technische Universität Kaiserslautern. His academic journey includes a Diplom in Technomathematik (1996, TU Berlin), a PhD (1999, Universität Kaiserslautern), and a Habilitation in Mathematics (2004). He previously held positions as Assistant Professor (2000–2004) and Junior Professor (2002–2004) at TU Darmstadt. His research focuses on Optimization with PDE constraints , Radiative Heat Transfer , and Semiconductor Models , with contributions to numerical methods and optimal control. He led the Technomathematik group and served as Dean (2011–2014) and ProDean of the Department of Mathematics at TU Kaiserslautern. His work bridges theoretical mathematics and industrial applications, emphasizing computational and analytical approaches. Publications highlight advancements in quantum drift-diffusion models , model reduction techniques , and parameter identification in thermal processes . Notable books include Optimization with PDE Constraints (Springer, 2009). Recent articles address optimal control in fiber-reinforced materials and self-gravitating particle systems. His affiliations include the European Consortium for Mathematics in Industry (ECMI Council Member, 2010–2018) and leadership roles in academic governance. Current research interests emphasize interdisciplinary applications of mathematics in engineering and physics.

Jürgen Rothمشاهده پروفایل

استاد

• Mathematics Education
• Teaching-Learning Laboratories
• Digital Tools in Mathematics Instruction
• +۵ مورد دیگر

Prof. Dr. Jürgen Roth is a professor of mathematics and its didactics at the Rhineland-Palatinate University of Technology (RPTU) in Landau. He holds a prominent role in the Department of Natural and Environmental Sciences, leading the Mathematics Didactics research group. His research focuses on mathematical conceptualization, teaching-learning laboratories, and the integration of digital tools like GeoGebra in education. Key interests include inquiry-based learning, diagnostic competence development using video vignettes, and functional thinking. He has been recognized with numerous awards, including the Archimedes Prize 2020 for contributions to mathematics education and multiple teaching awards (2015–2024). His work involves initiatives like the MaTeGnu training program and the ViviAn video analysis platform. He leads the Mathematics Laboratory 'Math is more' and collaborates with the ZentrAL Center for extracurricular learning. Roles: Head of Mathematics Didactics Group, Director of Mathematics Laboratory, Member of ZentrAL Management Key Projects: MaTeGnu (2023–2028), LFB-Labs-digital (2023–2025), ViviAn platform Awards: 9 major teaching/research honors since 2007 Roth actively supervises doctoral candidates and has published extensively on functional thinking, digital learning environments, and teacher training. His work bridges theory and practice, emphasizing innovation in STEM education through technology and interdisciplinary approaches.

Maria Bergemannمشاهده پروفایل

پژوهشگر

• Stellar Spectroscopy
• Galactic Structure
• Chemical Evolution
• +۷ مورد دیگر

Maria Bergemann is a Lise Meitner Group Leader and Independent Research Group Lead at the Max Planck Institute for Astronomy in Heidelberg, heading the Stellar Spectroscopy and Populations research group within the Galaxies and Cosmology department. Her research spans theoretical and observational astrophysics with a focus on stellar physics, galactic evolution, and cosmic nucleosynthesis. Her work encompasses non-equilibrium (Non-LTE) radiative transfer modeling and 3D radiation-hydrodynamics simulations of stellar atmospheres, lifting canonical approximations to provide new insights into stellar structure. She is actively involved in major astronomical programs including the Gaia-ESO survey, 4MOST, PLATO, WEAVE, and MSE projects, analyzing multi-million datasets to address fundamental questions about the origins of chemical elements, galactic structure, and star-planet connections. Her group has made significant contributions to understanding galactic chemo-dynamics, including studies of stellar clusters, abundance gradients, and the structure of the Milky Way disk and bulge. Dr. Bergemann's research has received support from the Max Planck Society, European Research Council, and the German Research Foundation. Her team develops sophisticated mathematical and statistical algorithms for robust model-data comparison and pattern recognition in multi-dimensional parameter spaces, including adaptation of the Payne code for Gaia-ESO and 4MOST data analysis and introduction of Bayesian spectroscopy methods. Max Planck Society funding recipient European Research Council funding recipient German Research Foundation funding recipient She has supervised numerous PhD students, postdocs, and master's students who have gone on to faculty positions at institutions worldwide including Purdue University, Frankfurt University, Yunnan University, and the University of Sheffield. Her current research group includes several members working on diverse projects related to stellar atmospheres, galactic structure, and nucleosynthesis. The group maintains the public database http://nlte.mpia.de for 3D Non-LTE models, which are essential for deriving accurate fundamental parameters of stars and their detailed chemical compositions.

Mario Flockمشاهده پروفایل

پژوهشگر

• Planet Formation
• Astrophysical Fluid Dynamics
• Protoplanetary Disks
• +۳ مورد دیگر

Mario Flock is a Researcher and Group Lead of the 'Unveiling planet formation by simulations and observations (UFOS group)' at the Max Planck Institute for Astronomy (MPIA) in Heidelberg since 2018. His research focuses on protoplanetary disks, planet formation, and radiation hydrodynamics, combining numerical simulations with observational data from facilities like ALMA. He leads a team investigating disk dynamics, instabilities, and the interplay between dust and gas in astrophysical environments. Research interests include the vertical shear instability (VSI), dust dynamics, and the evolution of protoplanetary disks. His work bridges theoretical models with observational constraints, addressing topics like disk turbulence, radiative transfer, and planet-disk interactions. Recent studies highlight contributions to understanding disk substructures, dust opacity effects, and the role of instabilities in disk evolution. Notable collaborative projects include the exoALMA survey, which uses ALMA data to study gas and dust in protoplanetary disks. His group’s work has been supported by grants such as ERC UFOS/RAPTOR, enabling advanced simulations and observational campaigns. Recent research outputs (2024–2025) emphasize topics like the inner disk rim structure, dust mass determinations with porous opacities, and the impact of turbulence on planet formation. His team’s findings are disseminated through high-impact journals and international conferences, reflecting his role as a leading researcher in disk astrophysics.

• Solar Physics
• Stellar Interiors
• Helioseismology
• +۳ مورد دیگر

Jesper Schou is a Senior Scientist at the Max Planck Institute for Solar System Research in Göttingen, Germany, focusing on solar and stellar interiors. His work combines observational helioseismology with instrument development. He holds a PhD in Science from the University of Aarhus (1993) and has held roles including HMI Instrument Scientist (2002–present) and Senior Research Scientist at Stanford University (2000–2013). Research interests include solar dynamics, hydrodynamic simulations of stellar interiors, and instrument calibration for space observatories like SDO. His publications explore Rossby waves, meridional flows, and the impact of convection on solar oscillations. Key contributions include the design of the HMI instrument and advancing methods to analyze helioseismic surface terms. Collaborations include teams at Stanford and NASA, with a focus on solar interior dynamics and magnetic field interactions.

Nicolas Jolyمشاهده پروفایل

استاد

• Quantum Optics
• Non-Linear Optics
• Photonics
• +۴ مورد دیگر

Nicolas Joly is a Professor and Head of the Microstructured Optical Fibres Independent Research Group at the Max Planck Institute for the Science of Light in Erlangen, Germany. He holds an associate professorship at the University of Erlangen-Nuremberg since 2009. His research focuses on quantum optics, nonlinear optics, and applied photonics, particularly in fiber-based systems. Education: PhD (2002) and Habilitation (2012) in Physics from the University of Lille, France. Postdoctoral fellowship at the University of Bath (2005–2008) under Prof. Philip Russell. Awards include Fellowships from the Max Planck School of Photonics (2019) and the Optical Society of America (2020). Research Interests: Generation of non-classical light, supercontinuum generation in photonic crystal fibers, fiber tools for chemical sensing, and levitated particle sensors. Recent work includes quantum entanglement, terahertz detection, and optical trapping in hollow-core fibers. Grants: Lead investigator on DFG projects including ‘OrbitFlySens’ (2025–2028) and ‘Photon Triplets’ (2024–2027). Collaborations span institutions in France, Canada, and Germany. Supervised 13 PhD students and 14 MSc students. Awards: Recognized for contributions to nonlinear optics and fiber photonics, including editorial roles at Optics Express and SPIE conferences. Active in international programs like the Max Planck School of Photonics.

Mario Krennمشاهده پروفایل

استاد

• Artificial Intelligence
• Quantum Physics
• Machine Learning
• +۷ مورد دیگر

Mario Krenn is a Full Professor (W3) of "Machine Learning in Science" at the University of Tübingen since June 2025, leading the Artificial Scientist Lab. His research bridges artificial intelligence , quantum physics , and experimental design , focusing on developing AI systems that act as "artificial muses" to inspire novel scientific discoveries. ERC Starting Grant recipient (2024) for ArtDisQ project Developed PyTheus, a framework for AI-driven quantum experiment design Created XLuminA, a JAX-based simulator for microscopy and photonics Co-inventor of SELFIES, a robust molecular string representation His work has led to experimental implementations of AI-designed quantum protocols (e.g., entanglement without pre-existing resources) and gravitational wave detector concepts. He explores scientific understanding in human-AI collaboration, nonlocal interference phenomena, and the philosophical implications of AI-generated discoveries. Recent projects include predicting research trends via knowledge graphs and developing virtual reality tools to visualize AI-conceived quantum experiments. Scientific awards include the ERC Starting Grant 2024 and International Quantum Technology Emerging Researcher Award (Highly Commended) 2020 . He serves on the editorial board of Machine Learning: Science and Technology and actively promotes open science through GitHub repositories and community-driven initiatives.

Xueyue Zhangمشاهده پروفایل

استادیار

• Quantum Science and Technology
• Superconducting Quantum Circuits
• Solid-State Spin Systems
• +۴ مورد دیگر

Xueyue Zhang is an Assistant Professor at Columbia University 's Department of Applied Physics and Applied Mathematics. Previously, she was a Miller Postdoctoral Fellow at UC Berkeley. Her research focuses on quantum technology development using superconducting circuits and silicon-based spin-photon interfaces. Education : Ph.D. in Applied Physics (Caltech, 2023), B.Eng. in Electrical Engineering (Tsinghua University, 2017) Research Interests center around: Quantum hardware engineering for scalable processors Spin-photon interactions in silicon platforms Topological protection in photonic quantum systems Quantum many-body simulation architectures Non-local quantum connectivity solutions Recent Publications demonstrate expertise in superconducting quantum simulation, topological waveguide QED, and silicon defect engineering for quantum networking. Key trends include photonic bandgap metamaterial applications and telecom-compatible quantum emitter development. Awards include: 2023 Rising Star in Physics 2023 Boeing Quantum Creator Prize Academic Leadership involves mentoring a diverse team of graduate and undergraduate researchers at the Zhang Lab in Schapiro Center for Engineering and Physical Science Research (CEPSR). She collaborates with global experts like Alp Sipahigil and Oskar Painter.