جست‌وجوی استاد و پژوهشگر

Hidetoshi Katoriمشاهده پروفایل

استاد

• Physics
• Atomic Physics
• Quantum Optics
• +۴ مورد دیگر

Hidetoshi Katori is a Japanese physicist and Professor at the University of Tokyo , renowned for his pioneering work in optical lattice atomic clocks and quantum metrology . Since 2011, he has served as Chief Scientist at the Quantum Metrology Laboratory, RIKEN , advancing precision measurements and ground-breaking experiments in fundamental physics. Key Achievements : Invention of the Magic Wavelength Technique , enabling ultra-precise optical lattice clocks; measurement of gravitational redshift using transportable strontium clocks on Tokyo Skytree. Education : University of Tokyo (alma mater). Research Interests : Katori’s work spans atomic physics , quantum optics , and metrology , focusing on high-precision timekeeping, quantum state control, and testing general relativity via experimental physics. Publications highlight his contributions to optical clocks , quantum technologies , and precision measurement , with recent advancements in cryogenic lattice clocks and transportable clock systems. Scientific Awards : I. I. Rabi Award (2008) Asahi Prize (2012) Nishina Memorial Prize (2013) Medal with Purple Ribbon (2014) Japan Academy Prize (2015) Micius Quantum Prize (2020) Breakthrough Prize in Fundamental Physics (2022) Honda Prize (2022) Katori leads the Katori & Ushijima Laboratory at the University of Tokyo, collaborating on quantum metrology projects and mentoring researchers. His work has been recognized in the Asian Scientist 100 and through grants supporting advanced clock development.

• Secure Decentralized Systems
• Blockchain Technology
• Systems Security
• +۳ مورد دیگر

Prof. Bryan Ford leads the Decentralized/Distributed Systems (DEDIS) lab at EPFL. He focuses on secure decentralized systems, including blockchain technology, privacy, and systems security. He earned his Ph.D. from MIT and held faculty positions at Yale University and EPFL. His work spans distributed consensus protocols, peer-to-peer networking, and privacy-preserving systems. Key projects include QuePaxa (timeout-free consensus), UIA (global connectivity for mobile devices), and MedCo (secure healthcare data sharing). He advises numerous PhD students and contributes to open-source projects like Bitcoin collective signing and privacy networks like Riffle. Education: Ph.D., MIT; Postdoctoral work at Yale Research interests include blockchain scalability, consensus algorithms, and cryptographic privacy. His lab develops systems like TRIP for coercion-resistant voting and F3B to mitigate blockchain front-running. His work on NAT traversal and peer-to-peer protocols (e.g., STUN/ICE) remains foundational in network architecture. He emphasizes practical, auditable security solutions such as CertiKOS and atomic cross-chain transactions (Atom). Notable contributions: CoSi (collective signing), OmniLedger (sharded blockchain), and privacy-preserving protocols like PURBs (Protected Unsealable Recursive Boxes). His lab collaborates with Swiss Post to audit e-voting systems and designs democratic cryptocurrencies like PoPCoin.

• Space Geodesy
• Satellite Laser Ranging
• Lunar Laser Ranging
• +۷ مورد دیگر

Karl Ulrich Schreiber is an Adjunct Professor at the Department of Physics and Astronomy, University of Canterbury, New Zealand, and an apl. Professor at the Institute for Astronomical and Physical Geodesy at the Technical University of Munich (TUM). He is a scientist at the Geodetic Observatory Wettzell, jointly operated by TUM and the Bundesamt für Kartographie und Geodäsie (BKG). His work bridges fundamental physics and geodetic applications, with leadership roles in major international projects including ESA’s MAGIC/Science, QSG4EMT, and Baltic+ Theme 5, as well as DFG Research Units NEROGRAV and UPLIFT. His research focuses on Space Geodesy , Satellite and Lunar Laser Ranging , and Ring Laser Technology . He has pioneered the use of large ring laser gyroscopes for measuring Earth's rotation, polar motion, and seismic rotations. His work enables high-precision monitoring of geophysical phenomena such as Earth tides, Chandler wobble, and rotational ground motions from earthquakes. He is a key contributor to multi-technique co-location studies (VLBI, SLR, GNSS) and time transfer experiments, advancing the Global Geodetic Observing System (GGOS). His recent publications show a strong trend in developing and applying large-scale ring laser arrays (e.g., ROMY) for geophysical sensing, photon-counting laser ranging for space debris and satellite tracking, and optical timing systems for synchronization across geodetic networks. These efforts span disciplines including geodesy, seismology, quantum optics, and fundamental physics. Scientific contributions include: Development of the Wettzell Large Ring Laser (G-ring) for continuous Earth rotation monitoring. First direct measurements of Earth's diurnal polar motion and Chandler wobble using ring lasers. Pioneering work in rotational seismology, validating ring laser data against seismic arrays. Contributions to lunar laser ranging and its role in reference frame realization. Leadership in ESA and DFG projects advancing space geodesy and inertial sensing. He advises doctoral and master’s students within the DFG Research Training Group UPLIFT and collaborates with international institutions on instrumentation and data analysis. His lab at Wettzell hosts advanced laser ranging and ring laser systems, serving as a fundamental geodetic observatory. Future work includes enhancing clock ties for global geodesy, expanding multi-component rotation sensing, and advancing space-based geodetic technologies.

Gaël Kermarrecمشاهده پروفایل

پژوهشگر

• Boundary Layer Meteorology
• Atmospheric Turbulence
• GNSS Applications
• +۳ مورد دیگر

Dr. Gaël Kermarrec is a researcher at the Boundary Layer Meteorology Group , part of the Institute of Meteorology and Climatology within the Faculty of Mathematics and Physics at Leibniz University Hannover . His work focuses on atmospheric turbulence, GNSS applications, and remote sensing for environmental monitoring. Boundary layer meteorology Turbulence theory GNSS signal processing Terrestrial laser scanning Climate change impacts Geodetic time series analysis His research integrates advanced mathematical models like LR B-splines and Matérn covariance with large eddy simulations to study: Atmospheric turbulence effects on optical/GNSS signals Hydrospheric mass loading Deformation analysis of terrain/port infrastructure Climatic sea-level changes Machine learning for remote sensing The 15 most recent articles (2025-2023) demonstrate his focus on: GNSS-based turbulence detection AI-enhanced climate mapping Advanced surface approximation techniques Multi-sensor data fusion Stochastic modeling of geodetic observations Environmental impacts on optical measurements He has developed tools like the Klimascanner QGIS plugin for urban climate resilience and contributes to: Understanding atmospheric scale lengths Improving TLS/GNSS deformation monitoring Analyzing hydrospheric changes Wavefront modeling Ionospheric corrections

Yiting Xiaمشاهده پروفایل

استادیار

• Computer Networks
• Data Center Networking
• Optical Communications
• +۳ مورد دیگر

Dr. Yiting Xia is a tenure-track faculty member at the Max Planck Institute for Informatics (MPI-INF), leading the Network and Cloud Systems research group. She previously worked as a research scientist at Facebook and holds a PhD in Computer Science from Rice University (2018) and a B.S. in Telecommunications Engineering from Beijing University of Posts and Telecommunications and Queen Mary University of London (2011). Her research focuses on high-performance and energy-efficient networking for cloud computing, including reconfigurable data center networks, optical communications, and network protocols. Notable contributions include innovations in transport protocols, time synchronization for optical networks, and failure-resilient network design. Education: PhD in Computer Science, Rice University, 2018 M.S. in Computer Science, Rice University, 2014 B.S. in Telecommunications Engineering, BUPT & QMUL, 2011 Research Interests: Data center networking, optical communications, cloud systems, network protocols, distributed systems, and network security. Her work bridges theoretical contributions with practical implementations, addressing challenges in latency-sensitive flows, traffic engineering, and system reliability. Awards include the Ken Kennedy-Cray Fellowship and the N2Women Rising Star Award (2021). She has co-lectured courses on distributed systems and data networks at Saarland University and previously contributed to teaching at Rice University. Key projects include Aurora (for MoE inference optimization), Lighthouse (an open research framework for optical networks), and Occam (a reliable network management system). Grants & Projects: Focus on deployable optical network architectures and resilient backbone management during pandemic-driven traffic shifts. Labs/Teams: Leads the Network and Cloud Systems group at MPI-INF, collaborating with academia and industry on cutting-edge networking solutions.

Gero Mühlمشاهده پروفایل

استاد

• Distributed systems
• Distributed algorithms
• Event-based systems
• +۷ مورد دیگر

Prof. Dr.-Ing. habil. Gero Mühl is a W2-Professor at the University of Rostock, where he holds the chair for "Architecture of Application Systems" since October 2009. His academic journey includes positions as a Heisenberg Fellow at the Technical University of Berlin (2009), postdoctoral research at TU Berlin (2002-2009), and doctoral studies at TU Darmstadt where he received his Dr.-Ing. degree with distinction in 2002. He completed dual Diplomas in Computer Science (Dipl.-Inform.) and Electrical Engineering (Dipl.-Ing.) from FernUniversität in Hagen in 1998. Prof. Mühl's research focuses on Self-Organizing Distributed Systems , with particular expertise in distributed systems, distributed algorithms, event-based systems, middleware, energy-efficient systems, organic computing, sensor networks, web services, and electronic commerce. His work bridges theoretical foundations with practical implementations in real-world distributed environments. His recent publications show a strong trend toward time-sensitive networking, content-based publish/subscribe systems, and P4 programmable data planes. These works address critical challenges in industrial communication, real-time systems, and network reliability. His research group has made significant contributions to making distributed systems more autonomous, reliable, and efficient. Scientific awards and recognitions include: Nomination for the Berlin Science Award for Young Scientists (2008) Heisenberg Fellowship by the German Research Foundation (DFG) (2008) Best paper award in System Software and Security at SAC 2015 Prof. Mühl has been actively involved in numerous research projects and collaborations, particularly focusing on self-organizing and self-stabilizing systems. His work on the REBECA publish/subscribe middleware represents a significant contribution to autonomous distributed systems. He has supervised numerous students and researchers, contributing to the development of the next generation of computer scientists specializing in distributed systems. His laboratory at the University of Rostock focuses on practical implementations of self-organizing distributed systems, with current projects investigating time-sensitive networking, publish/subscribe systems, and energy-efficient distributed computing. The team combines theoretical analysis with practical system development to address real-world challenges in industrial and commercial applications of distributed systems.

Ralf Stanewskyمشاهده پروفایل

استاد

• Circadian Rhythms
• Biological Clocks
• Neurobiology
• +۳ مورد دیگر

Professor Ralf Stanewsky leads the Stanewsky Group at the Institute of Neuro- and Behavioral Biology, University of Münster. His research focuses on the molecular mechanisms of circadian rhythms in Drosophila melanogaster , particularly how environmental cues like light and temperature reset the circadian clock. The group employs genetic, molecular, histological, and behavioral approaches to study sensory pathways and their integration in central clock neurons. Member of the Multiscale Imaging Centre (MIC) and Imaging Network – Microscopy Current lab members: Ph.D. students Anna Katharina Eick, Angelica Coculla, Maia Zabel Barroso Technical assistants Regina Hube and Ume Aiman Research Themes Light and temperature synchronization of circadian clocks Temperature compensation mechanisms in biological timing Neuronal integration of environmental signals Evolutionary aspects of circadian regulation Professor Stanewsky’s work spans molecular clock components (e.g., cryptochromes, timeless gene variants) to broader ecological implications of temporal niche choice. His lab investigates how clock gene expression responds to seasonal changes and environmental stressors, while also exploring novel synchronization pathways beyond classical photoreceptors. Publication Trends Recent articles emphasize temperature-dependent clock regulation , evolutionary capacitance via Hsp90 , and non-canonical phototransduction in circadian systems. Key subfields include nuclear transport dynamics, kinase evolution, and computational modeling of periodic patterns across species. Contact Information Institute of Neuro- and Behavioral Biology, University of Münster MIC | Röntgenstraße 16, D-48149 Münster, Germany Email: stanewsky@uni-muenster.de Phone: +49 251 8321029

Arpan Gujaratiمشاهده پروفایل

عضو هیئت علمی

• Real-Time Systems
• Distributed Systems
• Cyber-Physical Systems
• +۷ مورد دیگر

Arpan Gujarati is a Sessional Lecturer in the Department of Computer Science at the University of British Columbia (UBC), affiliated with the Systopia Lab. He teaches graduate and undergraduate courses such as CPSC 538G (Distributed Systems), CPSC 416 (Operating Systems), and CPEN 432 (Real-Time System Design). He holds a PhD from the Max Planck Institute for Software Systems and TU Kaiserslautern, where he was supervised by Björn B. Brandenburg. PhD: Max Planck Institute for Software Systems & TU Kaiserslautern (2020) Undergraduate: Birla Institute of Technology and Science (BITS Pilani) Postdoctoral Researcher: MPI-SWS Research Associate: UBC Software Development Engineer: Citrix R&D, India His research focuses on real-time and distributed systems, with applications in cyber-physical systems, fault tolerance, and machine learning reliability. He investigates scheduling algorithms, reliability analysis, and the integration of learning-enabled components into safety-critical systems. His work combines theoretical analysis with practical system implementations, often involving real-world testbeds and open-source tools. His recent publications span top-tier venues including RTSS, OSDI, ECRTS, DSN, and Middleware, with a strong emphasis on performance predictability, resilience of ML systems, and real-time communication. His work frequently addresses challenges in timing guarantees, fault tolerance, and system reliability in both cloud and embedded environments. SIGBED Paul Caspi Memorial Dissertation Award Best Paper Award at RTSS 2022 Distinguished Artifact Award at OSDI 2020 Best Student Paper Award at Middleware 2017 Outstanding Paper Award at RTCSA 2025 He advises several PhD students and undergraduate researchers at UBC, including Heng Zhao, Aida Aminian, Zainab Saeed Wattoo, and Philip Schowitz. He has led multiple research projects involving robotic arms, NVIDIA Holoscan, FreeRTOS, and distributed key-value stores. His lab work emphasizes reproducibility, open datasets, and practical system building. He has served on program committees for RTSS, RTAS, ECRTS, and Middleware, and contributes to journals such as Real-Time Systems and JSys.

Phillip Raffeckمشاهده پروفایل

پژوهشگر

• Real-Time Systems
• Embedded Systems
• Energy-Aware Computing
• +۷ مورد دیگر

Phillip Raffeck is a researcher at the Department of Computer Science (INF) within the Chair of Computer Science 4 (System Software) at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU). His work focuses on real-time systems, embedded systems, and energy-aware computing, with a particular emphasis on worst-case execution time (WCET) and energy consumption (WCEC) analysis. He has contributed to projects like the Invasive Run-Time Support System (iRTSS) and tools for energy-neutral system design. Department: Department of Computer Science (INF) University: Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) Position: Researcher His research spans real-time systems , multi-core optimization , and power-aware computing . Key contributions include migrative synchronization protocols , energy-neutral operating systems , and code metrics for timing analysis . Recent work explores carbon-aware co-design and predictable migration in embedded environments. Publications highlight collaborations with teams across Germany and international symposia like RTSS, WCET, and EMSOFT. His article trends reflect advancements in intermittent execution models , transactional networking , and static analysis toolchains . He serves as a secondary reviewer for conferences including RTAS and ISORC. Phillip supervises graduate theses on topics such as DMA-based OS offloading , dynamic migration , and interrupt latency analysis . He contributes to teaching courses like Betriebsystemtechnik and Systemnahe Programmierung in C at FAU.

• High-Performance Computing
• Parallel Programming
• Computer Architecture
• +۳ مورد دیگر

Prof. Dr. rer. nat. Matthias S. Müller is a Universitätsprofessor and Director of the IT Center at RWTH Aachen University. His research focuses on High-Performance Computing (HPC), parallel programming models, correctness verification, energy-aware computing, and tools for distributed systems. He leads the High-Performance Computing group, contributing to advancements in HPC resource management, runtime systems, and sustainable computing practices. Key areas of expertise include MPI and OpenMP correctness checking, static and dynamic analysis techniques, performance optimization for heterogeneous architectures, and energy footprint modeling. Müller has extensively collaborated on projects like MUST (MPI correctness tool), OMPT tools, and frameworks for analyzing hybrid parallel applications. His work bridges theoretical computer science with practical implementation challenges in large-scale computing environments. Notable contributions include developing methods for data race detection in Remote Memory Access (RMA) programs, latency-aware power management models, and educational frameworks for HPC lab courses. His research often emphasizes tool development, runtime systems, and interdisciplinary applications of HPC across engineering domains. Müller's lab is part of RWTH Aachen's IT Center, which provides infrastructure and expertise for computational research. He actively publishes in top-tier conferences and journals, addressing challenges in parallel programming, energy efficiency, and distributed computing systems.

• Artificial Intelligence
• Machine Learning
• Computer Vision
• +۵ مورد دیگر

Bo Wang is an active academic researcher primarily affiliated with multiple Chinese institutions, with strong connections to Tsinghua University, Beijing Jiaotong University, and other leading Chinese universities. His research spans artificial intelligence, machine learning, computer vision, medical image analysis, and intelligent control systems, demonstrating significant interdisciplinary work across computer science, engineering, and biomedical applications. Primary institutional affiliation: School of Computer Science and Technology at multiple Chinese universities Active research areas: AI/ML applications in healthcare, computer vision, federated learning, and intelligent control systems Extensive publication record across top-tier venues in multiple disciplines Wang's research interests focus on the intersection of artificial intelligence and practical applications. His work demonstrates strong expertise in developing novel machine learning architectures for medical image analysis, including applications in CT imaging, MRI, and sperm tracking. He has made significant contributions to federated learning approaches for large language models, sliding mode control systems, and molecular optimization frameworks. His research consistently bridges theoretical advances with practical implementations across healthcare, manufacturing, and environmental monitoring domains. Analysis of Wang's recent publications reveals a strong trend toward interdisciplinary AI applications, particularly in medical imaging and bioinformatics. His work on VAE-GANMDA for microbe-drug association prediction, ACE-QSM for accelerating MRI acquisition, and text-guided molecular optimization demonstrates innovative approaches at the intersection of AI and life sciences. Wang also maintains active research in industrial applications including digital twin technology for energy systems and robust scheduling approaches for multi-factory production. Notable research contributions include: FLFT: A Large-Scale Pre-Training Model Distributed Fine-Tuning Method with Federated Learning VAE-GANMDA: Microbe-drug association prediction model ACE-QSM: Accelerating quantitative susceptibility mapping using diffusion models Digital twin-empowered power consumption prediction systems Wang actively collaborates with researchers across China and internationally, with publications spanning computer science, engineering, medical imaging, and environmental science journals. His work demonstrates strong technical depth across multiple AI methodologies while maintaining focus on practical applications that address real-world challenges in healthcare, manufacturing, and environmental monitoring.

• Blockchain Technology
• Distributed Systems
• Permissioned Blockchains
• +۳ مورد دیگر

Artem Barger is a researcher specializing in blockchain technology, distributed systems, and database optimization. With affiliations primarily in blockchain development and academic research, he has contributed extensively to Hyperledger Fabric enhancements and decentralized information systems. Research Interests Optimizing state databases for blockchain platforms Byzantine Fault Tolerance in distributed networks Permissioned blockchain architectures Tokenization of real-world assets AI applications in soft skills evaluation Recent Publications Barger's work focuses on improving blockchain scalability and security through techniques like certification blocks, Patricia Merkle tries, and verifiable randomness. He has also explored tokenization applications in charity and energy sectors.

Tobias Kaiserمشاهده پروفایل

پژوهشگر

• Chronobiology
• Evolutionary Genomics
• Molecular Biology of Biological Clocks
• +۷ مورد دیگر

Dr. Tobias Kaiser is the Max Planck Research Group Leader of the Biological Clocks group at the Max Planck Institute for Evolutionary Biology in Plön, Germany. His research integrates chronobiology, evolutionary genomics, and ecological adaptation to understand how organisms like the marine midge Clunio marinus synchronize their life cycles with environmental rhythms such as tides, lunar phases, and daily cycles. Research Interests: His work centers on chronobiology and evolutionary genomics , particularly the molecular basis of circalunar and circadian clocks. He investigates how genetic variation underlies local adaptations in timing mechanisms across different populations. A key focus is temporal niche differentiation , where strains of Clunio marinus coexist by occupying distinct timing windows for reproduction, reducing competition. Publication Trends: Recent articles highlight how temporal niches influence species coexistence and habitat use. His studies combine field observations with genetic analysis to explore how time-based adaptations affect ecological dynamics and evolutionary trajectories in marine environments. Scientific Awards: No awards mentioned in the text. Advising and Grants: While specific students and grants are not listed, Dr. Kaiser leads an independent Max Planck Research Group, indicating significant research funding and likely mentorship of PhD and postdoctoral researchers. His group conducts genetic mapping and molecular analyses to uncover clock genes involved in lunar and tidal timing. Labs and Teams: He leads the Max Planck Research Group Biological Clocks, based at the Max Planck Institute for Evolutionary Biology. The team studies Clunio marinus as a model organism to decode the molecular architecture of non-circadian biological clocks, leveraging natural variation across coastal populations.

• Integrated Circuits
• RF Circuit Design
• Low-Power Electronics
• +۳ مورد دیگر

Jean-Baptiste Bégueret is a researcher with extensive contributions to integrated circuits , RF design , and low-power electronics . His work spans analog , digital , and mixed-signal systems.

• Mathematical Biology
• Chronobiology
• Dynamical Systems in Medicine
• +۳ مورد دیگر

Franz Aschl is an Associate Professor at the Technical University of Munich (TUM), affiliated with the Department of Mathematics within the School of Computation, Information and Technology. His research focuses on mathematical biology, chronobiology, and dynamical systems applied to medicine and ecology. He holds the Associate Professorship of Applied Mathematics in Ecology and Medicine under Prof. Müller. Research interests include circadian rhythm modeling, entrainment dynamics, and mathematical approaches to understanding biological oscillators. He actively participates in international conferences, presenting work on topics like jet lag symptom dynamics and circadian clock synchronization mechanisms. His teaching responsibilities include leading courses such as Mathematical Models in Biology and Applications of Mathematical Biology . Aschl collaborates with research groups like Kuttler and Zimmer, and his office is located in MI building 06, 2nd floor. He is part of the Analysis and Mathematical Biology group at TUM, engaged in interdisciplinary projects linking mathematics with life sciences.