جست‌وجوی استاد و پژوهشگر

Mikolaj Schmidtمشاهده پروفایل

پژوهشگر ارشد

• Optomechanics
• Plasmonics
• Acoustic Wave Theory
• +۳ مورد دیگر

Dr. Mikolaj Schmidt is an ARC Discovery Early Career Research Award (DECRA) recipient and an Associate Investigator at the ARC Centre of Excellence for Engineered Quantum Systems. He is affiliated with the School of Mathematical and Physical Sciences at Macquarie University and the MQ Photonics Research Centre. His research focuses on developing novel high-frequency acoustic wave sources, including acoustic analogs of lasers, and explores optomechanical systems, plasmonics, and quantum photonics. Education: PhD in Physics (University of the Basque Country, 2016), MSc in Physics and Computer Science (Nicolaus Copernicus University, 2010–2011), BSc in Physics (Nicolaus Copernicus University, 2009). Research interests include optomechanics, plasmons, and acoustic wave theory. He leads key projects such as "Quantum sound – letting quantum machines talk via mechanical vibrations" (2019–2022) "Sydney Quantum Academy successful SQA scholarships in Round 7 - Schmidt/Bainbridge" (2023–2026) Notable awards include the Macquarie University Research Leadership Award (2023) and Executive Dean Award for Leadership (2022). His work spans over 49 publications, with recent contributions emphasizing Brillouin scattering, optoacoustic interactions, and quantum optomechanical systems. He advises PhD student James Bainbridge and collaborates on projects related to topological photonics and quantum technologies.

Dror Baronمشاهده پروفایل

دانشیار

• Quantum Information Science
• Machine Learning
• Artificial Intelligence
• +۳ مورد دیگر

Dror Baron is an Associate Professor in the Department of Electrical and Computer Engineering at North Carolina State University. He holds a Ph.D. from the University of Illinois at Urbana-Champaign and has held positions including Postdoctoral Researcher at Rice University, Visiting Scientist at the Technion, and Quantitative Research Analyst at Menta Capital. His research focuses on the intersection of fast algorithms, signal processing, and information theory, with particular interests in quantum information science, machine learning, and communication systems. Education: Ph.D. in Electrical Engineering, University of Illinois at Urbana-Champaign (2003) M.Sc. in Electrical Engineering, Israel Institute of Technology (1999) B.Sc. in Electrical Engineering, Israel Institute of Technology (1997) Research Interests: Quantum error mitigation and algorithms Machine learning applications in signal processing Group testing and compressed sensing Generative adversarial networks (GANs) for system modeling Federated learning and privacy-preserving techniques Channel estimation and mmWave communication Awards & Honors: IEEE Senior Member (2010) M. E. Van Valkenburg Graduate Research Award (2002) Program for Outstanding Students, Technion (1994–1997) President's Roll every semester, Technion (1994–1997) Recent Contributions: His work includes developing algorithms to reduce testing quantities for pandemic management, advancing GAN-based receiver modeling, and exploring quantum advantage in finance. Collaborations span academia and industry, with notable contributions to federated learning security and compressed sensing theory.

• Quantum Computing
• Quantum Engineering
• Quantum Sensing
• +۳ مورد دیگر

Mattias Fitzpatrick is an Assistant Professor of Engineering at Dartmouth College's Thayer School of Engineering and an Adjunct Assistant Professor of Physics. His research focuses on quantum engineering and quantum sensing using superconducting circuits, with notable contributions to quantum computing and non-Euclidean lattice systems. Education: BA in Physics and Mathematics from Middlebury College (2013), PhD in Electrical Engineering (Applied Physics) from Princeton University (2019). He held an IC Postdoctoral Fellowship at Princeton and worked at IBM's Thomas J. Watson Research Center. Research interests span quantum computing, quantum engineering, quantum sensing, quantum information, and applications of artificial intelligence in these domains. His work has been recognized with awards including the DARPA Young Faculty Award and Bede Liu Dissertation Award. Teaches courses on distributed systems, quantum technologies, and quantum information implementations. Active as a reviewer for journals like Nature Physics, Science, and Physical Review Letters. Received a 2024 NSF Quantum Information Science Award ($600K) exploring non-Hermitian physics applications in quantum technologies. Leads the FitzLab, focusing on experimental and theoretical advancements in quantum systems.

Kaushik Seshadreesanمشاهده پروفایل

استادیار

• Quantum Information Science
• Quantum Communication Networks
• Quantum Sensing
• +۳ مورد دیگر

Kaushik Seshadreesan is an Assistant Professor in the Department of Informatics and Networked Systems at the University of Pittsburgh’s School of Computing and Information, with a secondary appointment in the Department of Physics and Astronomy. His research focuses on quantum information science, particularly quantum communication networks, quantum repeaters, and photonic systems. He earned a PhD in Physics from Louisiana State University and completed postdoctoral work at the Max Planck Institute for the Science of Light and the University of Arizona. His expertise spans quantum networks, entanglement distribution, and quantum-limited classical communications. His work addresses challenges in quantum networking stack design, aiming to realize the future quantum internet. Education: Ph.D. in Physics (Louisiana State University), M.Sc. in Physics, B.E. in Electrical and Electronics Engineering (Birla Institute of Technology and Science). Research Interests: Quantum communication networks, quantum repeaters, quantum sensing, quantum computation, and hybrid quantum-classical systems. His current focus includes optimizing quantum networking architectures and developing protocols for entanglement distribution across quantum networks. Grants & Collaborations: Involved in NSF-funded projects on quantum joint-detection receivers and photonic NISQ-era processors. His research bridges quantum optics and information theory, with applications in both theoretical and experimental quantum systems. Labs & Teams: Leads a research group advancing photonic quantum technologies and collaborates with institutions globally to develop scalable quantum network solutions.

Robert Schoelkopfمشاهده پروفایل

استاد

• Quantum Computing
• Quantum Information Processing
• Condensed Matter Physics
• +۴ مورد دیگر

Robert Schoelkopf is the Sterling Professor of Applied Physics and Physics at Yale University and Director of the Yale Quantum Institute. He holds dual appointments in the Yale School of Engineering & Applied Science and the Faculty of Arts and Sciences. His research focuses on quantum computing and superconducting devices, pioneering the field of circuit quantum electrodynamics (cQED). He earned his Ph.D. from the California Institute of Technology and joined Yale's faculty in 1998. His work includes developing quantum bits (qubits), quantum error correction, and high-sensitivity electrometers. Key awards include the 2024 Comstock Prize in Physics and election to the National Academy of Sciences. Research interests emphasize quantum transport, single-electron devices, and superconducting quantum dots. Projects involve quantum-limited amplifiers, sub-millimeter radiation detectors, and fault-tolerant quantum computing architectures. His lab employs advanced cryogenics and microwave techniques, with facilities including dilution refrigerators and cleanroom lithography. Education: Ph.D., California Institute of Technology, 1995 Labs/Teams: Schoelkopf Lab, Yale Quantum Institute Collaborations: Co-founder of Quantum Circuits Inc., long-term collaboration with Michel Devoret and Steven Girvin Awards include the 2014 Fritz London Prize, 2000 Packard Fellowship, and NASA innovation awards. His work bridges fundamental physics and applied quantum technologies, shaping global quantum computing advancements.

• Coding Theory
• Algebraic Geometry Codes
• Finite Fields
• +۷ مورد دیگر

Hans Olav Geil is a Professor and Pro-dean at the Faculty of Engineering and Science , Aalborg University , Denmark, affiliated with the Department of Mathematical Sciences . He is actively engaged in research, academic leadership, and educational innovation, particularly in coding theory and engineering education. University: Aalborg University School: Faculty of Engineering and Science Department: Department of Mathematical Sciences Email: prodekan-eng-udd@aau.dk ORCID: 0000-0002-9666-3399 Website: http://people.math.aau.dk/~olav Geil's research centers on algebraic coding theory , with significant contributions to affine variety codes , quantum codes , network coding , and finite fields . His work bridges theoretical mathematics and practical applications in data transmission and cryptography. He has developed methods for code construction, decoding, and performance bounds, particularly using Gröbner bases and algebraic geometry. His recent publications (2020–2023) show a dual focus: (1) advanced coding techniques like Steane-enlargement of quantum codes and nested code pairs, and (2) educational research on project-based learning (PBL) , digital transformation, and microcredentials at Aalborg University. This reflects his leadership in both technical research and pedagogical innovation. The body of his work, including over 79 publications, demonstrates consistent contributions to IEEE Transactions on Information Theory , Designs, Codes and Cryptography , and Finite Fields and Their Applications . His research often involves collaborations with experts in coding and cryptography. Geil has supervised several PhD students and is involved in multiple research projects. Though no specific awards are listed in the text, his editorial roles and sustained publication record indicate recognition in the academic community. He leads initiatives like the Vision-in-Practice Project , aiming to transform engineering education through structured frameworks and continuous improvement. His work supports interdisciplinary, problem-based learning models central to Aalborg University’s educational philosophy.

• Quantum Physics
• Solid-State Physics
• Quantum Technologies
• +۴ مورد دیگر

Jeroen Danon is a Professor in the Department of Physics at the Norwegian University of Science and Technology (NTNU). His research focuses on theoretical studies of solid-state and quantum technology components, including semiconductor spin qubits, superconducting qubits, and topological quantum devices. He collaborates with leading experimental groups to advance the development of quantum computing and quantum sensing technologies. His work also explores machine learning applications for quantum device control and sensor optimization. Research interests include quantum dynamics of superconducting and semiconductor nanostructures, topological materials, and the interplay between spin-orbit coupling, superconductivity, and magnetic fields. Key areas of investigation involve Andreev bound states, Josephson junctions, quantum dots, and Majorana fermions. Recent studies highlight advancements in tunable superconducting diodes, adaptive qubit control systems, and hybrid superconductor-semiconductor systems. Prominent publications span topics such as Majorana qubit localization, tunable Josephson diodes, and machine learning-driven quantum device tuning. His work has been published in journals like Physical Review B , New Journal of Physics , and Nature Communications . No scientific awards are explicitly mentioned in the provided text. Advising and grants: While specific advisee names or grant details are not listed, his research involves collaborations with international teams and experimental groups. Lab/Team: Active involvement in quantum device theory and interdisciplinary projects at NTNU's Department of Physics.

Vladimir Kolesnikovمشاهده پروفایل

استاد

• Cryptography
• Secure Computation
• Homomorphic Encryption
• +۳ مورد دیگر

Vladimir Kolesnikov is a Professor and Senior Associate Chair at the Georgia Institute of Technology, jointly affiliated with the School of Computer Science and the School of Cybersecurity and Privacy. He holds a Ph.D. in Computer Science from the University of Toronto (2006) and previously worked at Bell Labs. His research focuses on cryptography and secure computation, with a particular emphasis on practical and foundational aspects of two-party computation, garbled circuits, homomorphic encryption, and secure systems. He has contributed to projects like SCALES (Secure Computation with Ephemeral Servers) and has authored numerous papers and patents. His work also spans Smart Grid security, wireless authentication, and standards development (e.g., WiMAX). He serves as a PI on grants from IARPA and the Office of Naval Research, and his research bridges theory and practical applications in privacy-preserving technologies. Education Ph.D. in Computer Science, University of Toronto, 2006 Research Interests Dr. Kolesnikov’s work revolves around advancing cryptographic techniques for secure computation, including optimizing garbled circuits, exploring zero-knowledge proofs, and developing frameworks for privacy-preserving systems. His interests also extend to key exchange protocols, biometric authentication, and secure network design. He emphasizes both theoretical underpinnings and practical implementations, often addressing scalability and real-world applicability. Grants & Projects Principal Investigator (PI) on IARPA and ONR projects focused on cryptographic systems and secure computation Contributions to SCALES, a framework enabling secure computation with small clients and ephemeral servers Labs & Teams His research is conducted in collaboration with interdisciplinary teams at Georgia Tech, focusing on cryptographic implementations, secure hardware-software co-design, and privacy-preserving technologies.

Servaas Kokkelmansمشاهده پروفایل

استاد

• Quantum Computing
• Ultracold Quantum Gases
• Quantum Materials
• +۳ مورد دیگر

Servaas Kokkelmans is a Full Professor leading the Coherence and Quantum Technology group in the Department of Applied Physics at Eindhoven University of Technology (TU/e). He also serves as Scientific Director of the Center for Quantum Materials and Technology Eindhoven (QT/e) , co-founded the Eindhoven Hendrik Casimir Institute , and is a key figure in quantum research. His academic journey includes a PhD from TU/e (2000), postdoctoral work at JILA (USA) and Laboratoire Kastler Brossel (France), and faculty positions at TU/e since 2004. Research Focus: His work centers on strongly-interacting quantum gases, neutral atom quantum computing, and ultracold atomic physics. Specific areas include Feshbach resonances, Efimov physics, quantum simulations, and quantum material development. Awards & Grants: Notable recognitions include the NWO Vici Award (2015) and Teacher Award of Appreciation (2021) . His research has been supported by grants such as the Coherence and Quantum Technology initiative and the Eindhoven University of Technology Fund for Excellence (2010) . Education: MSc (1996) and PhD (2000) in Physics from TU/e Leadership roles: Founded QT/e (2018), became Full Professor (2023) Current Activities: Teaches Quantum Optics and Quantum Information , Ultracold Quantum Physics , and Hybrid Quantum Computing . His lab focuses on advancing quantum technologies through experimental and theoretical studies of ultracold atoms and quantum materials.

Boris Škorićمشاهده پروفایل

دانشیار

• Quantum Cryptography
• Information Security
• Digital Forensics
• +۳ مورد دیگر

Boris Škorić is an Associate Professor in the Security of Embedded Systems (SEC) group at the Department of Mathematics and Computer Science, Technische Universiteit Eindhoven. His research focuses on quantum cryptography, security with noisy data, and collusion-resistant watermarking. He is affiliated with the CREST project and has contributed to advancements in quantum-secure authentication and quantum key distribution protocols. Education : Ph.D. in Physics (Quantum Hall Effect), M.Sc. in Physics His research interests span three core areas: (1) Security with noisy data, addressing challenges in cryptographic primitives using physical measurements; (2) Quantum physics for security, including quantum readout of Physical Unclonable Functions (PUFs) and quantum key recycling; and (3) Collusion-resistant watermarking codes for digital content protection. He has pioneered techniques such as quantum-secure authentication via laser speckle and error correction methods for secure key storage. His publications reflect a strong emphasis on quantum security, including developments in continuous-variable quantum key distribution, entropically secure encryption, and quantum position verification. Recent work explores applications in healthcare data protection and secure communication over turbulent optical channels. Grants & Labs : Active in the CREST project (Collusion-Resistant Embedding and Secure Tracing) and collaborates with industry on quantum-secure technologies. Leads research in the SEC group, mentoring projects on cryptographic protocols and embedded system security.

Carmelo Interlandoمشاهده پروفایل

استاد

• Applied Algebra
• Sphere Packings
• Lattices and Number Fields
• +۴ مورد دیگر

Carmelo Interlando is a Professor of Mathematics and the Associate Dean for Academic and Faculty Affairs at San Diego State University (SDSU), within the College of Sciences. He holds a B.S. in Computational and Applied Mathematics from UNICAMP (Brazil, 1990), and dual Ph.D.s in Electrical Engineering (UNICAMP, 1994) and Mathematics (University of Notre Dame, 2005). His research focuses on Applied Algebra , with specialties in Sphere Packings , Lattices , Number Fields , Algebraic Coding Theory , Modulation Schemes , and Cryptology . His work bridges algebraic number theory and coding theory, often addressing lattice constructions for applications in cryptography and signal processing. Recent publications emphasize quantum error-correcting codes, toric codes, and burst-error correction (2024), alongside advancements in cyclotomic field subfields and lattice diversity (2020–2023). His 2017–2020 papers explore lattice constructions from cyclic extensions and ramified fields, with applications to modulation and cryptographic primitives. Award recognition is not explicitly listed in the provided texts. He serves on the editorial board of the Journal of Discrete Mathematical Sciences and Cryptography and is affiliated with the American Mathematical Society. Interlando’s advising and grant activities are not detailed here, but his extensive co-authorship network suggests collaborative research in lattice-based cryptography and algebraic coding. His work often involves interdisciplinary teams at SDSU and international collaborators.

• Plasma Physics
• Fusion Energy
• Materials Science
• +۳ مورد دیگر

Dr. Laurent Marot is a Researcher at the Department of Physics, University of Basel, affiliated with the Faculty of Humanities and Natural Sciences. His work focuses on plasma-material interactions, diagnostic systems for nuclear fusion, and advanced materials science. He contributes to ITER-related research through projects like the development of plasma cleaning techniques for first mirrors and studies on plasma-facing materials. Research interests include plasma physics, fusion energy, surface engineering, and catalytic processes. Key projects involve mirror cleaning technologies in tokamak environments (e.g., JET and EAST), optimization of tungsten and rhodium coatings, and nanoscale surface modifications for biomedical and fusion applications. Recent publications address plasma cleaning efficacy, material erosion under high heat loads, and novel catalytic materials. His work bridges experimental and computational approaches to solve challenges in fusion energy and material durability.

Michael Hatridgeمشاهده پروفایل

دانشیار

• Quantum Computing
• Superconducting Circuits
• Quantum Engineering
• +۳ مورد دیگر

Michael Hatridge is an Associate Professor of Applied Physics at Yale University, leading the Hatlab. His research focuses on quantum computing and superconducting circuits, emphasizing scalable architectures and quantum control systems. He earned his B.S. from Texas A&M University and his Ph.D. from the University of California, Berkeley. His work explores modular quantum computer design, qubit control techniques, and low-noise measurement systems. Notable contributions include the development of microwave quantum state routers and architectures for multinode superconducting quantum computers. Research interests also span Josephson junction-based devices, quantum amplification, and cryogenic electronics. Publications highlight advancements in quantum module coupling, sub-harmonic qubit control, and noise reduction strategies. The Hatlab collaborates on interdisciplinary projects involving quantum engineering and materials science, aiming to bridge theoretical models with practical implementations in scalable quantum technologies.

• Coding Theory
• Discrete Mathematics
• Blockchains
• +۵ مورد دیگر

Dr. Son Hoang Dau is a Senior Lecturer in Computer Science at the School of Computing Technologies, RMIT University, Australia. His research focuses on coding theory, discrete mathematics, blockchains, and their applications in secure distributed systems and quantum computing. He actively supervises PhD and Master’s students in areas like fraud detection on blockchain networks and quantum annealing for satellite communication optimization. Research Interests: - Coding Theory & Error-Correcting Codes - Blockchain Security & Decentralized Systems - Quantum Computing & Optimization - Privacy-Preserving Algorithms - Distributed Storage Systems Dr. Dau's recent work includes groundbreaking studies on blockchain fraud detection, secure erasure coding in distributed storage, and quantum annealing for satellite beam placement. His contributions bridge theoretical computer science with practical applications in cybersecurity and telecommunications. Supervision Projects: - Machine Learning methods for Fraud Detection on Blockchain networks - Efficient Repair of Reed-Solomon Codes - Robust Computer vision for surveillance and threat detection Collaboration Network: Engages with global researchers in cryptography, distributed systems, and quantum computing through publications in top venues like IEEE Transactions and ACM Conferences.

• Particle Physics
• Signal Processing
• Space Technology
• +۵ مورد دیگر

Alberto Regadío Carretero is a Lecturer in the Department of Automática at the University of Alcalá, affiliated with the Space Research Group (SRG-UAH). His research focuses on signal processing for particle detection, cosmic ray physics, and the integration of advanced computing techniques like neural networks and IoT technologies into experimental instrumentation. He holds a PhD in Digital Signal Processing applied to particle detection, awarded in 2014. Education: PhD in Digital Signal Processing, University of Alcalá (2014) Thesis: Procesamiento digital de señal aplicado a la detección de partículas energéticas , supervised by Dr. Sebastián Sánchez Prieto and Dr. Jesús Tabero Godino Research Interests: His work bridges particle physics, space technology, and computational methods. Key areas include: Design of radiation detectors and data acquisition systems using FPGAs and IoT Analysis of cosmic ray spectra and atmospheric effects Application of machine learning (e.g., GANs, reservoir computing) to pulse detection and unfolding Hardware optimization for precision signal processing in space and high-energy environments Key Contributions: Recent work includes: Quantum computing approaches for exoplanet discovery Development of neutron monitors and trajectory tracking systems (e.g., MITO) Unfolding techniques for particle spectra using deep learning Awards & Grants: No specific awards or grants are mentioned in the text, but his involvement in projects like ORCA and the Space Research Group suggests active grant-based research. Lab & Team: He is part of the SRG-UAH Space Research Group, collaborating on projects such as the Antarctic Cosmic Ray Observatory (ORCA) and FPGA-based instrument development.