Find Academic Supervisors

• Quantum Computing
• Quantum Information
• Quantum Communication
• +3 more

Prof SL Braunstein is a Professor of Quantum Computing at the Department of Computer Science, University of York. He has held academic roles since 1996, progressing from Lecturer to Professor at the University of Wales' School of Informatics before joining York in 2003. He is affiliated with the Quantum Information research group and serves as a First Aider. Qualifications: BSc (Melbourne), PhD (Caltech), CPhys, FInstP. His career includes postdoctoral fellowships at institutions such as the University of Arizona, Technion, Weizmann Institute, and University of Ulm. Research focuses on quantum computation (algorithms, hardware), quantum information, quantum communication, and foundational topics in theoretical physics. He also explores black holes and early universe cosmology, integrating quantum principles with cosmological models. Recent publications emphasize quantum gravity experiments and interdisciplinary approaches using fluid analogues. Scientific Awards: Fellow of the Optical Society of America (2008) Fellow of AAAS (2011) Fellow of the Institute of Physics (2001) Prof Braunstein has contributed to funded projects like Quantum Readout Techniques and Technologies (EUROCOMMISSION, 2019–2023) and H2020-IF-QSB (2017–2020). He actively engages in academic activities, including invited talks and PhD examinations. His current office is CSE/030, with contact details at +44 (0)1904 325447.

Mathieu LuisierView profile

Professor

• Computational Nanoelectronics
• Device Physics
• Quantum Transport
• +7 more

Prof. Mathieu Luisier is a Full Professor of Computational Nanoelectronics at ETH Zurich's Department of Information Technology and Electrical Engineering. He earned his PhD in 2007 from ETH Zurich, followed by postdoctoral research there and a role as Research Assistant Professor at Purdue University (2008–2011). His research focuses on nanoscale device modeling, including nanowire transistors, memristors, and 2D semiconductors, with a strong emphasis on quantum transport and high-performance computing. ERC Starting Grant (2013) SNSF Advanced Grant (2022) ACM Gordon Bell Prize (2019) His work integrates advanced simulation techniques like GW approximations and parallel algorithms to address challenges in nanoelectronics. He teaches courses on digital circuits and integrated systems, and leads research groups exploring next-generation devices for applications in quantum computing and neuromorphic systems.

• Quantum Computing
• Quantum Error Correction
• Theoretical Physics
• +3 more

Christopher Pattison is a Visiting Associate Professor in the Department of Physics at the California Institute of Technology (Caltech), affiliated with the Division of Physics, Mathematics and Astronomy. His primary role includes contributing to research and academic activities within the theoretical and experimental quantum computing domain. He holds a graduate student status, indicating active participation in advanced studies alongside his faculty responsibilities. Research interests focus on quantum error correction, fault-tolerant quantum computing, and theoretical physics. Key areas include decoding algorithms for quantum LDPC and surface codes, optimization of quantum hardware architectures, and resource management strategies for scalable quantum systems. His work intersects computational physics, stochastic processes, and FPGA-based hardware acceleration to address challenges in quantum information processing. Notable research trends emphasize improving the resilience of quantum codes against error bursts, developing efficient decoders for practical implementation, and leveraging geometry-based approaches for device compression. His publications span foundational theoretical studies and applied hardware solutions, reflecting a balanced approach to advancing quantum computing technologies. No scientific awards are explicitly mentioned in the provided materials. Pattison's advising and grants activities remain unspecified, though his involvement in research projects and collaborations with Caltech's quantum computing initiatives is implicit. His work may be associated with research centers like the Institute for Quantum Information and Matter (IQIM), though this affiliation is not explicitly stated in the text.

Arne LauchtView profile

Associate Professor

• Quantum Engineering
• Quantum Computing
• Spin Quantum Computing
• +8 more

Arne Laucht is a Scientia Associate Professor for Quantum Engineering at the University of New South Wales (UNSW) in the School of Electrical Engineering & Telecommunication. He is also the Program Manager at the ARC Centre of Excellence for Quantum Computation and Communication Technology (CQC2T). His research focuses on quantum computing, spin-based qubits in silicon, donor atoms, SiMOS quantum dots, and color centers in diamond/silicon carbide. Education: PhD (summa cum laude) in Quantum Optics from Technical University of Munich (2010), supervised by Prof Jonathan Finley. Research Interests: Quantum engineering, spin qubits in silicon, nanoscale device engineering, diamond vacancy centers, and quantum photonics. He explores ultra-long coherence times, quantum gate operations, and scalable qubit architectures. Publications Trends: Recent work emphasizes silicon-based spin qubits, quantum dot arrays, global field control, and room-temperature solid-state devices. Key topics include entanglement, Bell inequality violations, and fault-tolerant protocols. Labs & Collaborations: Leads the Ultra-Low Temperature Optics (ULTO) Lab, enabling cryogenic optical measurements. Collaborates with groups at UNSW, Macquarie University, and the University of Melbourne on diamond color centers and quantum materials.

Dieter MeschedeView profile

Professor

• Quantum Optics
• Cold Atom Physics
• Quantum Information Science
• +2 more

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
• +3 more

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 HenView profile

Associate Professor

• Nuclear Physics Experiment
• Particle Physics Experiment
• Quantum Chromodynamics (QCD)
• +4 more

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 EhlersView profile

Professor

• Formal Methods
• Reactive Synthesis
• Automated Reasoning
• +4 more

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 BiedermannView profile

Associate Professor

• Quantum Information Processing
• Quantum Sensing
• Rydberg Atoms
• +5 more

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
• +3 more

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. YalcinView profile

Professor

• Nonlinear Dynamics
• Cryptography
• Cellular Neural Networks
• +3 more

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 SamardjiskaView profile

Assistant Professor

• Post-Quantum Cryptography
• Multivariate Cryptography
• Code-Based Cryptography
• +4 more

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 BanerjeeView profile

Professor

• Spintronics
• Quantum Materials
• Neuromorphic Computing
• +9 more

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
• +4 more

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 VialleView profile

Researcher

• High-Performance Computing
• GPU Computing
• Quantum Computing
• +3 more

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.