جست‌وجوی استاد و پژوهشگر

Dieter Meschedeمشاهده پروفایل

استاد

• Quantum Optics
• Cold Atom Physics
• Quantum Information Science
• +۲ مورد دیگر

Dieter Meschede is a Full Professor of Physics at the University of Bonn since 1994. Previously, he held positions at the University of Hannover (1990–1994), the Max Planck Institute for Quantum Optics (1988–1990), and Yale University (1984–1987). His research focuses on quantum optics, cold atom physics, and quantum information science. He has received prestigious awards including the ERC Advanced Grant for quantum simulation (DQSIM) and the Robert-Wichard-Pohl Prize. Meschede has been a leader in quantum technologies, holding roles like Scientific Director of Physikzentrum Bad Honnef and chairing major conferences like IQEC 2007 and EQEC 2009. His work bridges theoretical and experimental quantum physics, with contributions to single-atom manipulation, quantum walks, and cavity quantum electrodynamics. Education: 1979: Diplom in Physics, University of Cologne 1984: PhD in Physics, Ludwig-Maximilians-Universität München 1989: Habilitation, Ludwig-Maximilians-Universität München Research Interests: Meschede’s work centers on quantum control and quantum technologies, including optical trapping of single atoms, quantum information processing with neutral atoms, and precision measurements in cavity-QED systems. His group pioneered techniques like deterministic single-atom delivery and quantum walks in real space, enabling foundational studies in quantum mechanics and applications in quantum computing. Professional Contributions: Chairman of the Physics Department at the University of Bonn (1999–2000) Member of the ERC Evaluation Panel (2008–2012) Scientific Director of Physikzentrum Bad Honnef since 2005 Awards: ERC Advanced Grant (2011) Robert-Wichard-Pohl Prize (2007) Rudolf-Kaiser Prize (1989) Grants & Leadership: Led the BMBF Verbundprojekt Quantenkommunikation (2010), managed large-scale quantum technology projects, and contributed to European research initiatives. His work has been recognized through over 140 citations in key papers, including foundational contributions to quantum register designs and single-atom masers.

• Cryptography
• Coding Theory
• Algebra
• +۳ مورد دیگر

Alessio Meneghetti is a Professor at the Department of Mathematics, University of Trento. His research focuses on cryptography, coding theory, and information security, with applications to post-quantum cryptography, blockchain protocols, and secure distributed systems. He teaches courses such as Coding Theory and Applications, Cryptography, and Programming Lab, emphasizing practical implementations in Java and theoretical foundations. His work spans cryptographic primitives like threshold signatures, quantum-resistant algorithms, and consensus mechanisms. Key contributions include protocols like COB for Byzantine agreement and frameworks for group action-based multi-signatures. He has also explored quantum random number generation and linear codes' weight distributions. Publications highlight advancements in threshold cryptography, distributed key generation, and post-quantum signature schemes. His teaching integrates programming practices with mathematical rigor, preparing students for applied cryptography and computational mathematics.

Or Henمشاهده پروفایل

دانشیار

• Nuclear Physics Experiment
• Particle Physics Experiment
• Quantum Chromodynamics (QCD)
• +۴ مورد دیگر

Or Hen is an Associate Professor of Physics at the Massachusetts Institute of Technology (MIT), affiliated with the MIT School of Science and the Department of Physics. He holds a joint appointment at the Laboratory for Nuclear Science. His research focuses on QCD effects in nuclear media, short-range correlated nucleon pairs (SRCs), and the development of the Electron-Ion Collider (EIC). He has been actively involved in experiments at the Thomas Jefferson and Fermi National Accelerators, and co-led the ECCE consortium for EIC detector design. Hen received his PhD from Tel-Aviv University and joined MIT in 2017 after a Pappalardo Fellowship. **Education**: Bachelor's in Physics and Computer Engineering, Hebrew University PhD in Experimental Physics, Tel-Aviv University **Research Interests**: Hen explores the interplay between nuclear structure and QCD dynamics via high-energy scattering experiments. His work bridges low-energy nuclear physics with high-energy quark-gluon interactions, studying SRCs' role in nuclear EMC effects and astrophysical phenomena. Recent efforts include experimental leadership for the upcoming EIC at Brookhaven National Lab. **Awards and Recognition**: 2022 APS Fellow (nuclear physics) 2019 IUPAP Young Scientist Prize 2018 Stuart Jay Freedman Award Multiple MIT fellowships and DOE awards **Grants & Collaborations**: Hen leads the ePIC collaboration and chairs the EIC Users Group. His work is supported by the DOE Early Career Program, Sloan Foundation, and MIT grants. He has pioneered methods to measure nucleon modifications in correlated pairs through electron/nucleus collisions. **Lab Affiliations**: Hen Lab (MIT) MIT Laboratory for Nuclear Science

Ruediger Ehlersمشاهده پروفایل

استاد

• Formal Methods
• Reactive Synthesis
• Automated Reasoning
• +۴ مورد دیگر

Ruediger Ehlers is a Professor for Embedded Systems at Clausthal University of Technology, focusing on formal methods , automated reasoning , and cyber-physical systems . His research aims to bridge formal methods and artificial intelligence to enhance the efficiency and reliability of computational systems. University: Clausthal University of Technology Institute: Institute for Software and Systems Engineering Research Interests: His work centers on making correct-by-construction design processes more efficient, particularly through reactive synthesis , verification of finite- and infinite-state systems , and runtime monitoring . He has developed tools like slugs and planet for synthesis and neural network verification. Publications Trends: Recent articles emphasize temporal logic , reinforcement learning under constraints , and algorithm engineering for practical applications in manufacturing and quantum computing. Scientific Awards: Volkswagenstiftung Momentum endeavor (2023) Grants and Projects: He leads the EU/H2020 Project SAFE-10-T (2021) and secured funding from the German Science Foundation (2016) for synthesizing GUI code. His Open-MPW-6 program (2023) involves hardware implementation of runtime monitoring.

Grant Biedermannمشاهده پروفایل

دانشیار

• Quantum Information Processing
• Quantum Sensing
• Rydberg Atoms
• +۵ مورد دیگر

Grant Biedermann is an Associate Professor and Homer L. Dodge Endowed Chair in Atomic, Molecular & Optical Physics at the University of Oklahoma's Homer L. Dodge Department of Physics and Astronomy. He holds a B.S. (2001) from OU, M.S. (2002) from Yale University, and Ph.D. (2007) from Stanford University. His research focuses on quantum information processing using neutral atoms, with specialties in quantum sensing via atom interferometry and multi-atom entanglement via ultra-cold Rydberg atoms. His lab develops entangled spin states in systems like strontium and cesium, exploring applications in quantum control, matter-wave interferometry, and quantum simulation. Key areas include Rydberg-dressed interactions, programmable glassy dynamics, and scalable quantum networks using optical tweezers. Recent work emphasizes compact cold-atom interferometers with photonic integrated circuits, suspended membrane waveguides, and high-fidelity quantum gates (e.g., Mølmer-Sørensen gates). He collaborates with universities, companies, and national labs to advance quantum technologies like inertial sensors and quantum simulators. Awards: Homer L. Dodge Endowed Chair (2025+). Lab facilities include new Lin Hall spaces for neutral atom experiments. Active on Instagram @grantbiedermann for research updates.

• Nonlinear Dynamics
• Quantum Science
• Turbulence
• +۳ مورد دیگر

Daniel Lathrop is a Professor of Physics and Geology at the University of Maryland (UMD), and a Fellow of the American Physical Society. He joined UMD in 1997 following postdoctoral roles at Yale and faculty positions at Emory University. His research spans nonlinear dynamics, quantum science, and geophysical fluid dynamics. Lathrop directs the Nonlinear Dynamics Laboratory, focusing on experiments simulating Earth’s core (e.g., the 3-meter liquid sodium spherical Couette experiment) and superfluid helium phenomena. Education: B.A. in Physics (UC Berkeley, 1987), Ph.D. in Physics (University of Texas at Austin, 1991). Research emphasizes turbulent flows in rotating systems, magnetic field generation (dynamo effects), and quantum fluid behavior. His lab integrates machine learning for prediction of magnetic field evolution and turbulence dynamics. Collaborations include developing UAV-based geophysical sensors for landmine detection and advancing stochastic computing hardware using magnetic tunnel junctions. Awards include the NSF Presidential Early Career Award (1997), APS Stanley Corrsin Award (2012), and UMD Distinguished Scholar-Teacher designation. He served as Director of the Institute for Research in Electronics and Applied Physics (2006–2012). Advising: Supervised numerous graduate students in experimental physics and geophysics. Active in interdisciplinary projects combining fluid dynamics, quantum science, and machine learning. Labs/Teams: Nonlinear Dynamics Laboratory, Quantum Materials Center, and Institute for Research in Electronics & Applied Physics (IREAP). Research themes include planetary magnetic field modeling, turbulence in extreme conditions, and novel computing hardware inspired by physical systems.

Mustak E. Yalcinمشاهده پروفایل

استاد

• Nonlinear Dynamics
• Cryptography
• Cellular Neural Networks
• +۳ مورد دیگر

Mustak E. Yalcin is a Professor in the Department of Electronics and Telecommunications Engineering at Istanbul Technical University (ITU). He holds a PhD from Katholieke Universiteit Leuven (2004), an MSc from ITU (1997), and a BSc from ITU (1993). His research focuses on nonlinear dynamics, chaos theory, FPGA-based systems, and secure communication. He has been elevated to IEEE Senior Member (2019) and serves as an Associate Editor for multiple journals, including the International Journal of Bifurcation and Chaos and SpringerBriefs in Nonlinear Circuits. His work spans applications in cryptographic systems, cellular neural networks, and hardware security. Notable contributions include FPGA implementations of hyperchaotic systems for medical image encryption, and designs for GPS spoofing detection. He leads projects on sensor-based navigation systems, smart weighing technologies, and energy-efficient embedded systems. Recent activities include chairing tracks at IEEE conferences and organizing events like FOSSistanbul. His lab actively explores wave computing, memristor-based networks, and bio-inspired algorithms for odor classification. Current projects include the design of fault-tolerant cryptographic hardware and real-time spectrum analyzers.

Simona Samardjiskaمشاهده پروفایل

استادیار

• Post-Quantum Cryptography
• Multivariate Cryptography
• Code-Based Cryptography
• +۴ مورد دیگر

Simona Samardjiska is an Assistant Professor in the Digital Security Group at Radboud University, The Netherlands, since 2017. Previously, she held an assistant professor position at the Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University, Skopje, Macedonia (2015–2017). She earned her PhD in Cryptography from the Norwegian University of Science and Technology (NTNU) in 2015, focusing on multivariate cryptography under Danilo Gligoroski. Her academic background includes a master’s degree in Computer Science and a diploma in Pure Mathematics from the Faculty of Natural Sciences and Mathematics, Skopje. Her research primarily revolves around post-quantum cryptography, including multivariate, code-based, and lattice-based systems, alongside symmetric cryptography and Boolean functions. Notable contributions include the MQDSS digital signature scheme (a NIST PQC candidate) and the MEDS submission to NIST’s round 3. She has published extensively in top venues like EUROCRYPT, ASIACRYPT, and IEEE Transactions. Samardjiska teaches courses such as Cryptology (NWI-IMC063), Applied Cryptography (NWI-IMC061), and Security (NWI-IPC021) at Radboud University. She actively participates in standardization efforts, conferences, and workshops, including organizing CrossFyre (EUROCRYPT 2021/2020) and serving on program committees for CBCrypto, CANS, and others. Her professional activities emphasize fostering diversity in computing and advancing cryptographic research.

Tamalika Banerjeeمشاهده پروفایل

استاد

• Spintronics
• Quantum Materials
• Neuromorphic Computing
• +۹ مورد دیگر

Prof. Tamalika Banerjee is a Professor and Chair of the Spintronics of Functional Materials group at the University of Groningen's Faculty of Science and Engineering . She also holds a Scientific Associate Investigator position at the FLEET ARC Center of Excellence in Australia. Her research bridges quantum materials , topological magnetism , and spintronics , with a focus on alternative computing applications . Education : PhD from University of Madras (India), followed by postdoctoral work at Tata Institute of Fundamental Research (India) and MIT (USA). Research Themes : Emergent phenomena at quantum critical regions, strong correlation effects, and topological control mechanisms for reconfigurable spintronics architectures. Her publications highlight innovations in memristor miniaturization , skyrmion stabilization , and antiferromagnetic spintronics . These works intersect nanotechnology , quantum physics , and low-energy electronics , aligning with SDG goals for sustainable computing . Awards include the Rosalind Franklin Fellowship , and she serves on editorial boards for journals like Advanced Physics Research and Frontiers in Nanotechnology . Funding comes from NWO-VIDI , FOM , NWA , and Cognigron . Her interdisciplinary collaborations span multiferroics , orbitronics , and Intel-MESO logic-in-memory technologies.

• Digital System Design
• FPGA Design
• Embedded Systems
• +۴ مورد دیگر

Etienne Messerli is an Associate Professor at the School of Engineering and Management of the Canton of Vaud, affiliated with the Reconfigurable & Embedded Digital Systems (ReDS) Institute. His work focuses on digital system design, FPGA-based solutions, and embedded systems. He currently leads or co-leads multiple research projects involving high-speed communication systems, quantum random number generation, and open-source instrumentation platforms. Key projects include the development of a high-performance FPGA IP core (JESD204B) for data converters, a self-testing quantum random number generator (QRNG), and the EASY-PHI open-hardware instrumentation platform. His research emphasizes practical implementations and collaboration with industry partners. He actively participates in conferences such as EDERC and NASA/ESA AHS, contributing to advancements in embedded system education and adaptive hardware systems. His work bridges theoretical quantum cryptography concepts with real-world hardware implementations, addressing security and performance challenges in modern communication systems.

Stephane Vialleمشاهده پروفایل

پژوهشگر

• High-Performance Computing
• GPU Computing
• Quantum Computing
• +۳ مورد دیگر

Stephane Vialle is a researcher at CentraleSupélec, leading the Interdisciplinary Laboratory of Digital Sciences. His research focuses on High-Performance Computing (HPC), GPU Computing, Quantum Computing, and Quantum Machine Learning. He has extensive experience in developing scalable fine-grained computing environments and optimizing parallel algorithms for distributed systems. His work spans financial engineering, energy management, and railway infrastructure through digital twin technology. Recent contributions include advancements in GPU cluster energy efficiency, stochastic control algorithms, and hybrid classical-quantum architectures for data clustering. Research interests emphasize optimizing parallel computing frameworks for diverse applications, including financial modeling, material science simulations, and transportation systems. His publications demonstrate expertise in distributed computing, fault-tolerant architectures, and algorithmic innovation across multiple computational paradigms. Current projects explore quantum computing integration with classical systems, GPU-based large-scale data processing, and real-world applications of parallel simulation techniques. Notable contributions include the parXXL development environment for coarse-grained platforms and the MINERVE digital twin for railway infrastructure management. His work bridges theoretical computing advancements with practical implementations in engineering and finance domains.

• Computational Fluid Dynamics (CFD)
• Turbulence Simulation
• Wind Farm Optimization
• +۵ مورد دیگر

Professor Sylvain Laizet is a faculty member in the Department of Aeronautics at Imperial College London, part of the Faculty of Engineering. He holds a PhD and Habilitation à Diriger des Recherches from the University of Poitiers in France, specializing in Computational Fluid Dynamics (CFD). His research focuses on turbulent flows and their engineering applications, including wind farm optimization, quantum algorithms for fluid mechanics, and machine learning integration in CFD. Key research areas include: Wake-to-wake interaction in wind farms Bayesian optimization for drag reduction and energy efficiency Immersed boundary methods for moving objects Quantum computing for solving PDEs in fluid dynamics His work leverages high-order numerical methods and large-scale simulations, with contributions to frameworks like Xcompact3D and WInc3D. Recent publications emphasize quantum algorithms, turbulence entrainment, and data-driven optimization strategies for renewable energy systems. Scientific contributions span over 50 peer-reviewed articles in top-tier journals, focusing on advancing CFD methodologies and their applications in environmental and industrial fluid mechanics. His team collaborates globally, including partnerships in France and Brazil.

Jason Niehمشاهده پروفایل

استاد

• Operating Systems
• Virtualization
• Computer Architecture
• +۷ مورد دیگر

Jason Nieh is a Professor of Computer Science at Columbia University and Co-Director of the Software Systems Laboratory. He also serves as Chief Scientist at CertiK. His research focuses on operating systems, virtualization, computer security, and formal verification. He holds faculty appointments in Columbia's Department of Computer Science and has advised numerous graduate students. Education: B.S. from MIT (Electrical Engineering), M.S. and Ph.D. from Stanford University (Electrical Engineering). Research interests include operating systems design, cloud security, hardware-software co-design, and verified systems. His work has been integrated into major platforms like Linux and Android, and he has contributed to technologies used by Amazon Web Services and Google Cloud. Recent professional activities include program committee roles at top conferences (SOSP 2025, OSDI 2023) and distinguished lectures at Academia Sinica and National Taiwan University. Awards include AAAS/ACM/IEEE Fellowships, Sigma Xi Young Investigator Award, NSF CAREER Award, and multiple best paper awards. He has also served as a technical advisor in high-profile legal cases like the Microsoft Antitrust Settlement.

Jonathan Websterمشاهده پروفایل

استاد

• Algorithmic Number Theory
• Computational Number Theory
• Carmichael Numbers
• +۹ مورد دیگر

Jonathan Webster is a Professor in the Department of Mathematical Sciences at Butler University. He holds a Ph.D. from the University of Calgary and has a dual background in Mathematics and Computer Engineering from Rose-Hulman Institute of Technology, along with a Master's in Mathematics from the University of Illinois at Urbana-Champaign. His academic work bridges mathematics and computer science with a strong emphasis on undergraduate research mentorship. Education Ph.D., University of Calgary, 2010 M.S. in Mathematics, University of Illinois at Urbana-Champaign, 2004 B.S. in Mathematics, Rose-Hulman Institute of Technology, 2001 B.S. in Computer Engineering, Rose-Hulman Institute of Technology, 2001 Jonathan Webster's research focuses on algorithmic and computational number theory , particularly in areas such as Carmichael numbers, pseudoprimes, Legendre's conjecture, and the multiplication table problem. He develops and implements algorithms to explore deep number-theoretic questions, often pushing computational limits. His work is highly collaborative, frequently involving undergraduate students and established researchers like Andrew Shallue and Jonathan Sorenson. His recent publications (2024–2025) highlight a consistent trend in computational number theory, with several papers accepted to the prestigious Algorithmic Number Theory Symposium (ANTS) and journals like INTEGERS and Mathematics of Computation . These works involve extensive data generation, algorithm design, and verification, often accompanied by publicly released source code and datasets. In parallel, he contributes to mathematics education, particularly in designing and promoting undergraduate research experiences. His scientific contributions include: Tabulation of all Carmichael numbers below 10^22 Verification of Legendre’s conjecture up to 7·10^13 Advancing the understanding of absolute Lucas pseudoprimes Developing efficient algorithms for the multiplication table problem Historical research on inessential discriminant divisors with Fernando Gouvêa Webster actively mentors undergraduate researchers, with students like Chloe Helmreich, Nick Sorenson, and David Purdum co-authoring peer-reviewed publications. He has secured research support through collaborative grants and institutional funding, enabling student participation in conferences and computational projects. His pedagogical work, including publications in MAA Focus and PRIMUS , emphasizes creating accessible research opportunities for undergraduates. While not explicitly mentioning a lab, his research group functions as a computational number theory team, producing open-source tools and large-scale datasets. Future work likely includes extending computational bounds, exploring new pseudoprime families, and expanding undergraduate research models.

Floris A. Zwanenburgمشاهده پروفایل

استاد

• Quantum Electronics
• Quantum Computation
• Semiconductor Nanowires
• +۵ مورد دیگر

Floris A. Zwanenburg is a Full Professor at the University of Twente's MESA+ Institute for Nanotechnology, leading an independent research line in quantum electronics within the NanoElectronics group. He co-directs the Center for Quantum Nanotechnology Twente (QUANT) and coordinates the Horizon Europe project ONCHIPS. Field of research: Silicon Quantum Electronics Collaborations: UNSW Sydney, TU Delft, Harvard University, Eindhoven University, University of Basel, CEA Grenoble, IBM Research Zurich His research focuses on controlling quantum mechanical behavior of individual spins in silicon for quantum computation applications. Key areas include spatial and electrostatic confinement of electrons/holes, spin-orbit interaction, superconductivity in nanowires, and quantum dot arrays. He has pioneered techniques for spin read-out and coherent control in silicon and Ge/Si nanowires. Recent publications highlight advancements in SnTe nanowire quantum transport, FPGA-accelerated measurements, and magnetic field effects in Josephson junctions. His work bridges fundamental quantum physics and practical quantum computing implementations. Scientific accolades include: ERC Synergy Grant (2025) VICI laureate (2023) NGF Quantum Technology (2023) FET-FLAG (2020) ENW Groot (2020) Vidi/Veni laureate (Dutch Science Foundation) He has supervised numerous PhD students and postdocs, including Sergey Amitonov, Joost Ridderbos, and Matthias Brauns. His laboratory collaborates internationally and maintains active positions for new researchers.