جست‌وجوی استاد و پژوهشگر

Michael Knapمشاهده پروفایل

دانشیار

• Condensed Matter Theory
• Quantum Many-Body Systems
• Non-Equilibrium Quantum Dynamics
• +۵ مورد دیگر

Michael Knap is an Associate Professor of Collective Quantum Dynamics at the Technical University of Munich (TUM), within the Department of Physics at the TUM School of Natural Sciences. His research group focuses on condensed matter theory, quantum many-body systems, and quantum simulation. Knap holds office in room 5101.01.037 at James-Franck-Str. 1, 85748 Garching b. München, and can be reached at michael.knap@ph.tum.de or +49 (89) 289 - 53777. Prof. Knap's research delves into the rich physics of quantum many-body systems, particularly exploring non-equilibrium dynamics and transport phenomena in ultracold quantum gases, interacting light-matter systems, and correlated quantum materials. His work spans multiple subfields including topological phases of matter, quantum simulation with trapped ions, fracton physics, and quantum computation. He develops novel numerical approaches based on quantum information theory and utilizes artificial intelligence and machine learning to tackle challenging problems in condensed matter physics. His group's research connects fundamental theoretical questions with experimental implementations in quantum simulators. The analysis of Prof. Knap's recent publications (2023-2025) reveals a strong focus on topological quantum matter, quantum simulation, and emergent phenomena in constrained quantum systems. His work frequently bridges condensed matter theory with quantum information science, as evidenced by publications on fracton hydrodynamics, higher-form symmetries, and quantum error correction. There's a clear progression toward increasingly complex quantum systems and connections to experimental implementations on quantum processors. His research shows significant interdisciplinary reach, connecting condensed matter physics with quantum computing and quantum information theory. ERC Consolidator Grant (2025) ERC Starting Grant (2019) Supervisory Award, TUM Department of Physics (2018) Promotio sub auspiciis Praesidentis rei publicae, Austria (2013) Prof. Knap has established a robust research program supported by prestigious European Research Council grants. His group actively collaborates with both theoretical and experimental groups worldwide, particularly in the quantum simulation community. He has supervised numerous students through Master's Seminars on Collective Quantum Dynamics covering topics like quantum simulation with trapped ions and theoretical quantum computation. His research has received significant attention, with several publications featured as Editors' suggestions and Research Highlights in leading journals. The Collective Quantum Dynamics group maintains strong connections with experimental quantum simulation efforts, particularly in the areas of ultracold atoms and trapped ion systems. Knap's theoretical work often provides frameworks for interpreting experimental results in quantum simulators, creating a productive feedback loop between theory and experiment. His group participates in collaborative research networks focused on advancing quantum simulation capabilities and understanding fundamental aspects of quantum many-body physics.

• Neuromorphic Computing
• Hardware Accelerators
• VLSI Circuits
• +۵ مورد دیگر

Prof. Dr. Tobias Gemmeke is a University Professor at RWTH Aachen University's Faculty of Electrical Engineering and Information Technology, leading the Chair of Integrated Digital Systems and Circuit Design. His work focuses on neuromorphic computing, hardware accelerators, and energy-efficient electronics. He has pioneered advancements in FPGA-based computational neuroscience simulators, neuromorphic processor architectures, and sensor integration for industrial and medical applications. Research interests include time-domain computing, ReRAM reliability, and co-optimization of neural networks with hardware. Notable contributions include the neuroAIx framework for accelerated neuroscience simulations and energy-efficient ASIC designs for post-quantum cryptography. He actively explores memristive devices and domain generalization techniques for edge computing. Recent publications highlight innovations in spiking neural networks, sensor systems for plain bearings, and time-domain compute-in-memory engines. His work bridges theoretical neuroscience with practical hardware implementations, emphasizing scalability and real-time performance.

• Computational Materials Science
• Strongly Correlated Electron Systems
• Quantum Materials
• +۹ مورد دیگر

Erik Koch is an apl. Prof. Dr. (Associate Professor) and head of the Research Group Computational Materials Science at the Institute for Advanced Simulation (IAS) , Jülich Supercomputing Centre (JSC) , within Forschungszentrum Jülich , Germany. His research is part of the Helmholtz Program-oriented Funding (PoF IV) under 'Engineering Digital Futures', focusing on enabling computational- and data-intensive science and engineering. He is actively engaged in both research and teaching, leading a group dedicated to understanding quantum materials with strong electronic correlations. His research interests center on the theoretical and computational challenges of strongly correlated electron systems . He investigates phenomena such as orbital ordering , employing advanced numerical techniques including Lanczos diagonalization and analytic continuation . His group develops and applies methods to tackle the many-body problem, particularly using Dynamical Mean-Field Theory (DMFT) to bridge the gap between model systems and real materials, aiming to understand and design novel quantum materials with emergent functionalities. Prof. Koch is deeply involved in academic education. He teaches core and elective courses for the MSc in Simulation Sciences (MSc SiSc), including Applied Quantum Mechanics , Correlated Electrons , Density Functional Theory & Practice , and Solid State Theory . He is the primary organizer of the renowned annual Autumn School on Correlated Electrons , which has been a key international forum for over a decade, covering topics from Kondo physics to quantum topology and entanglement. This demonstrates his significant role in training the next generation of computational physicists. He has no listed scientific awards in the provided text. Prof. Koch leads the Computational Materials Science research group, which collaborates with the Strongly Correlated Systems group at PGI-2/IAS-3. His work is fundamentally tied to the high-performance computing resources at the Jülich Supercomputing Centre, utilizing massively parallel simulations. While specific grants are not mentioned, his research is funded through the Helmholtz Association's Program-oriented Funding. The group's research area is focused on using analytical methods and large-scale simulations to understand and design quantum materials with strong electronic correlations.

• Computer Science
• Data Visualization
• Scientific Visualization
• +۳ مورد دیگر

Robert S. Laramee is a Professor at the University of Nottingham (previously at Swansea University), specializing in visualization research. His work focuses on data visualization, scientific visualization, and computational fluid dynamics. He has authored over 170 publications in top journals like IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum, and IEEE Computer Graphics and Applications. Research Interests: His research spans information visualization, flow visualization, visual literacy, and educational aspects of visualization. He emphasizes practical applications in fields like healthcare, digital humanities, and computational science. Recent Trends: Recent work includes studies on treemap literacy, educational frameworks for visualization, and interactive systems for clinical data. He has also contributed to visualization resources and surveys, aiming to bridge academic and industry needs. Grants & Collaborations: Collaborations include projects on visualization for smart cities, protein-lipid interactions, and quantum chromodynamics data analysis. No specific grant details are provided in the text. Labs & Teams: Affiliated with visualization research groups at Nottingham and Swansea, though specific lab names are not mentioned.

Mikel Sanzمشاهده پروفایل

پژوهشگر

• Quantum Computing
• Quantum Algorithms
• Quantum Technologies
• +۵ مورد دیگر

Mikel Sanz is a Ramón y Cajal Researcher and Ikerbasque Fellow at the University of the Basque Country (UPV/EHU) in Bilbao, Spain. His research focuses on quantum computing, quantum algorithms, quantum technologies, and quantum metrology. His research interests include: Quantum Computing and Quantum Algorithms Quantum Metrology and Quantum Sensing Digital-Analog Quantum Computing Quantum Machine Learning Quantum Simulation Quantum Error Correction and Mitigation Dr. Sanz's recent publications demonstrate a strong focus on practical applications of quantum computing across various domains. His work spans quantum hardware design, quantum algorithm development, quantum machine learning applications, and quantum metrology techniques. He has made significant contributions to digital-analog quantum computing approaches, quantum kernel methods, and quantum-enhanced sensing technologies. His scientific awards include being selected as a Ramón y Cajal Researcher, a prestigious research position in Spain for experienced researchers, and an Ikerbasque Fellow, which is awarded by the Basque Foundation for Science to attract top researchers to the Basque Country. Dr. Sanz has collaborated extensively with researchers across multiple institutions, contributing to a wide range of quantum information science projects. His work often bridges theoretical quantum information concepts with practical implementations, particularly in superconducting quantum computing platforms. He is actively involved in advancing quantum technologies through his research group at UPV/EHU, focusing on developing novel quantum algorithms and exploring applications of quantum computing in various scientific and industrial domains.

Michael Feldererمشاهده پروفایل

استاد

• Software Testing
• Software Quality Assurance
• Software Architectures
• +۵ مورد دیگر

Prof. Michael Felderer is the Director of the Institute for Software Technology at the German Aerospace Center (DLR) and a full professor at the University of Cologne. His expertise spans software testing, security, architectures, empirical software engineering, and emerging technologies like AI and quantum computing. Previously, he held roles as associate professor at the University of Innsbruck, guest professor at Blekinge Institute of Technology, and CEO of QE LaB Business Services. His research focuses on developing methods to enhance software quality and trustworthiness through collaborations with academia and industry. Education details are not explicitly provided, but his career trajectory indicates advanced academic training in software engineering. Research interests include AI-driven software systems, data trustworthiness in IoT, and agile methodologies. He has co-authored over 200 publications and received 14 best paper awards, with notable recognition from the Journal of Systems and Software. Labs/Teams: Leads the DLR Institute for Software Technology, focusing on open-source software solutions for aerospace, energy, and security domains. Collaborates with global researchers and companies on advanced engineering applications like quantum computing and digital twins.

Ingenuin Gasserمشاهده پروفایل

استاد

• Modelling with Partial Differential Equations
• Kinetic and Fluid Dynamic Equations
• Renewable Energy Systems
• +۳ مورد دیگر

Prof. Ingenuin Gasser is a Professor of Modelling and PDEs at the University of Hamburg's Department of Mathematics. He holds roles including UHH Coordinator for the Joint Master's Programme 'MathMods' and former Vice Dean for Internationalization and Young Researcher Support (2012-2022). His research focuses on mathematical modelling with PDEs, renewable energy systems, traffic flow dynamics, and semiconductor equations. He leads interdisciplinary projects on urban systems and energy technologies. Education & Career: Born 1965 in Brixen, Italy Diplom in Technical Physics (1989, TU Wien) Diplom in Technical Mathematics (1992, TU Wien) PhD in Mathematics (1996, TU Berlin) Habilitation in Mathematics (2000, UHH) Junior Professor (2002–2003, UHH) Full Professor (W3) since 2010 at UHH Research Interests: Modelling with PDEs, kinetic/fluid dynamics, renewable energy systems (solar updraft towers, osmosis power), traffic flow models, semiconductor equations, and interdisciplinary urban system modelling. Publications: Over 67 publications, recent works focus on PRO power stations, solar energy systems, and urban modelling. Key themes include energy efficiency optimization, nanofluid applications, and mathematical models for sustainable infrastructure. Grants & Projects: Participated in EU-funded networks (e.g., TMR), DFG projects on quantum transport, and international collaborations in applied mathematics and renewable energy.

Daniel Laumannمشاهده پروفایل

پژوهشگر

• Physics Education
• Science Education
• Educational Technology
• +۴ مورد دیگر

Dr. Daniel Laumann is a faculty member at the University of Münster, affiliated with the Department of Physics within the Faculty of Mathematics and Natural Sciences. His primary research focuses on physics education innovation, particularly the integration of digital tools and technologies into teaching. He has actively contributed to advancing methodologies such as augmented reality (AR) and mixed reality (MR) in laboratory settings, mobile learning strategies, and interdisciplinary approaches combining physics with art. His work emphasizes enhancing student engagement through interactive simulations, BYOD (Bring Your Own Device) initiatives, and conceptual understanding in magnetism and optics. Dr. Laumann has published extensively in journals like Physics Education , Journal of Science Education and Technology , and Frontiers in Education , reflecting his commitment to evidence-based pedagogy. He collaborates widely with colleagues in physics education, psychology, and engineering to design effective learning environments. Education: While specific academic degrees aren’t listed in the text, his title 'Dr.' indicates a PhD in Physics or a related field. Research Interests: His work spans educational technology (e.g., AR for polarization experiments), mobile device integration in STEM education, and cognitive aspects of learning (e.g., empathizing/systemizing traits in students). He also explores interdisciplinary projects linking physics principles with artistic light installations, aiming to broaden public engagement with science. Key Projects: Leading initiatives like the MiReQu project (Mixed Reality Learning Environments for Quantum Technologies) and studies on BYOD impacts in classrooms. He co-developed tools such as the Light Spectrum Analyzer app and smartphone-based magnification devices. Grants & Awards: No specific grants or awards are mentioned in the provided texts. Labs/Teams: Actively involved in the Physics Education Research Group at the University of Münster, collaborating with institutions like the Deutsche Physikalische Gesellschaft (DPG) on curriculum development and innovation.

• Network Routing
• Segment Routing
• Software Defined Networking
• +۶ مورد دیگر

Marco Polverini is an active computer networking researcher with a prolific publication record spanning over a decade, with 59 publications documented from 2012 to 2025. His work primarily focuses on advanced networking technologies including Segment Routing, Software Defined Networking, and Network Function Virtualization. His research interests center around network routing optimization, traffic engineering, and network monitoring. He has made significant contributions to Segment Routing technology, developing novel behaviors for low-latency communication, black hole detection mechanisms, and traffic matrix assessment techniques. His recent work integrates artificial intelligence approaches, particularly reinforcement learning, with traditional networking protocols to create more adaptive and efficient network systems. He has also been exploring the application of Digital Twin technology for network management and optimization. Analysis of his publication trends shows a clear evolution from foundational work on energy-efficient networking and traffic engineering to more recent innovations in Segment Routing, in-band network telemetry, and AI-driven network optimization. His publications consistently appear in top networking venues including IEEE JSAC, IEEE Transactions on Network and Service Management, INFOCOM, and NOMS, demonstrating his standing within the networking research community. Throughout his career, Polverini has maintained strong collaborative relationships, particularly with Antonio Cianfrani (54 joint publications), Marco Listanti (33 publications), and Francesco Giacinto Lavacca (16 publications), suggesting he works within a well-established research group focused on next-generation networking technologies.

Óscar Andrey Herrera Sanchoمشاهده پروفایل

استاد

• Quantum Optics
• Quantum Biology
• Quantum Metrology
• +۷ مورد دیگر

Óscar Andrey Herrera Sancho is a Full Professor at the University of Costa Rica and a researcher at the Atomic, Nuclear and Molecular Sciences Research Center. He holds a PhD in Physics from Leibniz University Hannover and has held roles including Head of the Physical Metrology Department at the National Metrology Institute of Costa Rica. His research spans Quantum Optics, Quantum Biology, Surface Physics, and Educational Physics, with interdisciplinary work in art conservation, biophysics, and cultural heritage science. Education: Postdoc Fellowship, Institute for Quantum Optics and Quantum Information, University of Innsbruck (2016) PhD in Physics, Leibniz University Hannover (2012) M.Sc. in Physics, University of Costa Rica (2008) B.Sc. in Physics, University of Costa Rica (2003) Research Interests: His work bridges quantum physics with cultural heritage preservation, including material analysis of historical artifacts, fungal biodeterioration studies, and pedagogical innovations linking literature and science. He also investigates surface physics phenomena relevant to astrophysical ice transitions and quantum gas systems. Scientific Awards: Alexander von Humboldt Foundation Fellow Advising & Grants: While specific grants are not listed, his extensive co-authorship network and leadership roles indicate active collaboration in interdisciplinary research. His work on cultural heritage has involved student teams in material analysis and software development for artifact preservation. Labs & Teams: Leads the Spatially Resolved Ultracold Rydberg Physics group at the 5th Institute of Physics, focusing on quantum systems and their applications in precision measurement and cultural heritage science.

Wolfgang Mathisمشاهده پروفایل

مدرس

• Theoretical Electrical Engineering
• Nonlinear Circuit Analysis
• Oscillator Design
• +۳ مورد دیگر

Wolfgang Mathis is a Lecturer at Leibniz University Hannover within the Faculty of Electrical Engineering and Computer Science , specifically affiliated with the Department of Didactics of Electrical Engineering and Computer Science . His academic work bridges theoretical electrical engineering with historical and pedagogical perspectives. Email: mathis@tet.uni-hannover.de Phone: +49 511 762 3403 Web: https://www.dei.uni-hannover.de His research spans two primary domains: theoretical electrical engineering and historical analysis of scientific disciplines . Key areas include nonlinear circuit analysis, electromagnetic field theory, and the interdisciplinary legacy of engineers like Johannes von Kries. He frequently employs Carleman linearization for modeling nonlinear systems and contributes to educational frameworks for electrical engineering. Wolfgang Mathis' recent publications reflect a dual focus on circuit design methodologies and historical studies . Articles on Kirchhoff's laws, Wilhelm Cauer, and Heinrich Hertz highlight his interest in the evolution of engineering concepts. Simultaneously, his technical work explores RF mixer circuits, LC tank oscillators, and bifurcation-based amplifiers, often integrating mathematical rigor with practical applications. Position: Lecturer Institution: Leibniz University Hannover Department: Didactics of Electrical Engineering and Computer Science He leads the Didactics of Electrical Engineering and Computer Science Section, focusing on educational materials and interdisciplinary studies. His work on stochastic waveguides and power amplifier design demonstrates a commitment to both foundational and applied research.

David Luitzمشاهده پروفایل

استاد

• Quantum Many-Body Systems
• Condensed Matter Physics
• Theoretical Physics
• +۳ مورد دیگر

David Luitz is a Professor of Theoretical Physics at Bonn University, specializing in quantum many-body systems. His research focuses on fundamental aspects of quantum dynamics, including many-body localization, quantum information spreading, and non-equilibrium thermodynamics. He develops advanced numerical methods and software tools such as the DanceQ library to tackle complex many-body problems. His work bridges theoretical physics with computational techniques, addressing topics like entanglement entropy, out-of-time-order correlators, and phase transitions in interacting quantum systems. Key research areas include the interplay between disorder and thermalization, quantum chaos, and the application of quantum Monte Carlo methods to study correlated electron systems. His contributions have advanced understanding of eigenstate thermalization, dissipative dynamics, and topological phenomena in condensed matter systems. Dr. Luitz’s publications highlight innovations in numerical algorithms for many-body systems and experimental predictions for quantum phase transitions. His work often explores the boundaries between localized and thermalizing regimes, with applications to both theoretical and computational physics.

Georg Carleمشاهده پروفایل

استاد

• Internet Technology
• Future Internet Architecture
• Network Security
• +۳ مورد دیگر

Prof. Georg Carle is a full Professor in Network Architectures and Network Services at the Technical University of Munich (TUM), affiliated with the TUM School of Computation, Information and Technology. He leads research in Internet technology, focusing on future network architectures, security, and real-time communication. Prior roles include positions at the University of Tübingen and Fraunhofer Institute for Open Communication Systems (FOKUS). Education: Electrical Engineering diploma from University of Stuttgart (1992), Master of Science in Digital Systems (Brunel University, London), and PhD in Telematics from University of Karlsruhe (1996). He held scholarships in complex systems and European Union-funded research at Institut Eurécom. Research Interests: Prof. Carle's work spans network security, sensor networks, autonomous systems, and future Internet protocols. His group develops tools like MoonGen (packet generator) and pos (experiment workflow system). Recent focus includes QUIC protocol analysis, network slicing, and reproducible experimentation frameworks. Key Contributions: Award-winning research includes Applied Networking Research Prizes (2017-2018), Best Paper Awards in IMC/PAM, and innovations in network measurement, security, and programmable data planes. His lab explores cutting-edge topics like post-quantum cryptography, low-latency networking, and 6G automation. Recognition: Honors include ACM SIGCOMM Community Contribution Award, IRTF ANRP, and multiple conference best paper accolades. He advises on network infrastructure for industrial IoT, automotive systems, and secure multiparty computation.

• Electronic Design Automation
• Fault Injection Simulation
• RISC-V Processors
• +۷ مورد دیگر

Johannes Geier is a Researcher at the Chair of Design Automation at the Technical University of Munich (TUM). His work focuses on electronic design automation, fault injection simulations, and security countermeasures for RISC-V processors. University: Technical University of Munich Department: Chair of Design Automation Email: johannes.geier@tum.de Research Interests Electronic Design Automation (EDA) for analog and digital circuits Fault tolerance and reliability in RISC-V architectures Security analysis of post-quantum cryptographic systems Timing analysis and microfabrication techniques Optical Networks-on-Chip (NoC) and emerging technologies Compiler-assisted hardware security implementations Recent Research Trends Specializes in fault injection methodologies for hardware security validation Develops open-source tools like vRTLmod for RTL simulation acceleration Explores RISC-V vector extensions for post-quantum cryptography Investigates differential fault effect equivalence checks for efficiency Designs compiler-based security countermeasures against instruction skip attacks Works on concurrent multi-node XCP proxy server architectures

• Computer Science
• Artificial Intelligence
• Machine Learning
• +۷ مورد دیگر

Sio Kei Im is an active researcher with a focus on computer science, machine learning, and human-computer interaction. His recent work spans multiple domains including image processing, quantum computing, and virtual reality. Publications address advanced data augmentation (LogicMix), multi-modal quantum watermarking (MMQW), and efficient neural decoding algorithms (TRHyper). Research interests include time series optimization, dialogue summarization, and haptics in VR environments. Collaborations with experts in linguistics, electrical engineering, and software development indicate interdisciplinary expertise. Key contributions involve adaptive algorithms for AI model protection, speaker recognition systems, and real-time 3D rendering techniques.