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Kieron Burke is a Distinguished Professor in the Department of Chemistry and Department of Physics at the University of California, Irvine (UCI), where he also leads the Burke research group. His academic contributions focus on advancing density functional theory (DFT), a cornerstone of computational quantum mechanics. He collaborates with institutions like Google Accelerated Science and DeepMind to integrate machine learning into DFT, enhancing its predictive power for materials and chemical systems. His research spans theoretical and computational physical chemistry, materials science, and quantum mechanics. Notable achievements include pioneering density-corrected DFT and exploring DFT applications in extreme conditions like planetary interiors and fusion reactors. Prof. Burke's work is internationally recognized, with over 25,000 annual citations, and he holds prestigious fellowships from the American Physical Society and British Royal Society of Chemistry. Prof. Burke's educational initiatives include teaching a popular graduate course on machine learning for scientists and advocating for interdisciplinary training. His research group includes students from chemistry, physics, math, computer science, and engineering, reflecting his belief in cross-disciplinary approaches to scientific challenges. Awards: Fellow of the American Physical Society, British Royal Society of Chemistry, AAAS; Member of International Academy of Quantum Molecular Sciences Labs/Teams: Burke Research Group, focusing on DFT development and machine learning applications

• Density Functional Theory (DFT)
• Quantum Mechanics
• Materials Science
• +3 more

David Danks is a Professor of Data Science, Philosophy, and Policy at the University of California, San Diego. His work bridges AI ethics, causal inference, and policy, focusing on governance frameworks for emerging technologies. He leads research on trustworthy AI systems, healthcare technology applications, and sociotechnical risks. Danks is affiliated with the DIVER Lab, exploring interdisciplinary approaches to AI's societal impact. His research spans causal discovery algorithms, ethical AI design, and the intersection of science and policy. Notable themes include mitigating bias in quantum machine learning, dynamic certification for autonomous systems, and addressing unforeseen technological harms. He has contributed to national AI policy through roles like the National Artificial Intelligence Advisory Committee. Publications emphasize ethical challenges in AI development, such as algorithmic fairness, epistemic utility, and moral responsibilities in dual-use technologies. His work frequently intersects with healthcare innovation, including personalized hemodynamic models for surgical risk reduction. While no formal awards or grants are listed, Danks' involvement in high-profile initiatives like the CCC Whitepaper on pandemic prevention underscores his leadership in translational ethics and policy.

• AI Ethics
• Causal Inference
• Healthcare Technology
• +4 more

Jonathan Weare is a Professor of Mathematics at the Courant Institute of Mathematical Sciences, New York University. He holds affiliations with the Faculty of Arts and Science and the Graduate School of Arts and Science. His academic journey includes roles as an Associate Professor at the University of Chicago (2014–2019) and Assistant Professor (2011–2014), following postdoctoral work as a Courant Instructor at NYU. He earned his Ph.D. in Mathematics from UC Berkeley in 2007. His research focuses on stochastic algorithms and models, with applications in astrophysics, biophysics, computational chemistry, and climate science. Key areas include Monte Carlo methods, rare event simulation, and machine learning-driven scientific analysis. Collaborations with domain experts ensure his work addresses real-world challenges in diverse fields. Recent publications emphasize advancements in trajectory stratification, rare event prediction using machine learning, and efficient algorithms for high-dimensional problems. Notable contributions include the BAD-NEUS framework and AI-based solar system instability predictions. His group’s interdisciplinary approach bridges computational methods with scientific inquiry. Weare has advised numerous students and mentored postdocs, fostering talent in applied mathematics and computational science. His work on Mercury’s orbital dynamics and extreme weather prediction showcases the societal impact of his research. Current projects explore AI applications in weather modeling and rare event analysis, leveraging cutting-edge machine learning techniques. Labs/Teams: His research group at Courant develops stochastic algorithms and collaborates with interdisciplinary teams in computational chemistry, climate science, and astrophysics. Key collaborations include the University of Chicago and Columbia University.

• Monte Carlo sampling
• Multiscale analysis
• Randomized numerical linear algebra
• +2 more

Dr. Richard Jiang is a Senior Lecturer (Associate Professor) at Lancaster University's School of Computing and Communications. His research focuses on Artificial Intelligence, Neurocomputing, Quantum AI, Privacy Computing, and Medical Computing. He has pioneered secure pattern recognition in encrypted domains and quantum neuromorphic computing. With over £1M in research grants from EPSRC and others, he has authored 100+ publications and supervised over 20 PhD students. Dr. Jiang's work includes the Face2Brain method for neurodegenerative assessment and explainable models for brain aging analysis. He contributes actively to academic committees, editorial boards, and conferences like the World Conference on eXplainable AI. His research spans ethical AI frameworks, quantum algorithms for medical imaging, and privacy-preserving biometric systems.

• Artificial Intelligence
• Neurocomputing
• Quantum AI
• +5 more

Aida Abiad Monge is an Associate Professor in the Department of Mathematics and Computer Science at Eindhoven University of Technology (TU/e), where she chairs the Algebraic Combinatorics group. She holds a 0.1fte position as an Associate Professor at Vrije Universiteit Brussel and is a guest researcher at Ghent University. Her research focuses on algebraic graph theory, including spectral graph properties, combinatorial optimization, and applications in quantum information theory and coding theory. Her academic career includes postdoctoral fellowships at Ghent University (2020-2023) and Vrije Universiteit Brussel (2020-2023). She has been awarded grants such as the NWO VIDI and BOF Postdoctoral Fellowship. Her editorial roles include serving on the boards of the Electronic Journal of Linear Algebra and The Electronic Journal of Combinatorics. Research Interests: Spectral graph theory, coding theory, quantum information, finite geometry Key Achievements: Over 60 publications, including works on sum-rank metric codes and cospectral hypergraphs Teaching: Courses like Algebraic Combinatorics and Combinatorics and Applications Her work bridges theoretical advancements with practical applications, particularly in optimizing coding schemes and analyzing graph structures through algebraic methods.

• Algebraic Graph Theory
• Combinatorial Optimization
• Quantum Information Theory
• +3 more

Dr. James Saunderson is a Senior Lecturer and Director of Education in the Department of Electrical and Computer Systems Engineering at Monash University. He holds a PhD in Electrical Engineering and Computer Science from MIT and has held postdoctoral roles at Caltech and the University of Washington. His expertise spans convex optimization, semidefinite programming, and quantum information theory. Education : PhD in EECS, MIT (2015) MS in EECS, MIT (2011) Bachelor of Engineering (Honours) and Bachelor of Science (Honours), University of Melbourne (2008) Research Interests : Convex optimization, quantum information theory, signal processing, and algorithm design. Focuses on algebraic and geometric aspects of optimization, with applications in engineering and quantum systems. Recent Projects : Exploiting duality in quantum relative entropy optimization Hyperbolic programming and conic optimization Applications in nanotechnology and bioinformatics Teaching : Courses include Control System Design, Signals and Systems, and Optimization for Engineers. Awards : SIAM Optimization Best Paper Prize (2020) Grants and Collaborations : Australian Research Council Discovery Early-Career Research Fellow (2020–2024) Leading projects in quantum optimization and bioengineering applications.

• Convex Optimization
• Semidefinite Programming
• Polynomial Optimization
• +4 more

Prof. Tansu Alpcan is a Professor and Reader in the Department of Electrical and Electronic Engineering at The University of Melbourne, Australia. He holds a PhD from the University of Illinois at Urbana-Champaign (UIUC) and has held academic positions at Technical University Berlin and Deutsche Telekom Laboratories. His research focuses on AI/ML applications in engineering, game theory, cybersecurity, Industry 4.0, quantum machine learning, smart grids, and communication networks. Education: PhD in Electrical and Computer Engineering (UIUC, 2006); MSc (UIUC, 2003); BEng (Bogazici University, 1999). Research interests include adversarial machine learning, cybersecurity games, quantum computing, and renewable energy systems. Authored over 200 papers and two books, including Network Security: A Decision and Game Theoretic Approach (Cambridge, 2011). Recipient of IEEE Senior Membership (2012) and multiple best paper awards. He leads the WILAB and has secured grants such as the ARC Training Centre in Optimisation Technologies. Current projects include quantum machine learning, adversarial reinforcement learning, and smart grid modeling. Supervised 17 PhD and 3 Master’s students.

• Artificial Intelligence
• Machine Learning
• Game Theory
• +7 more

Markus Müller is a Professor in Theoretical Quantum Technology at RWTH Aachen University and the Forschungszentrum Jülich's Peter Grünberg Institute. He leads a research group focused on quantum information processing, quantum simulation, and topological quantum computing/ error correction using atomic, molecular, and optical systems. His work bridges theory and practice, with collaborations on trapped-ion and neutral-atom quantum processors. Education: PhD in Quantum Simulation (2011, University of Innsbruck). Postdoctoral positions at Complutense University Madrid. Faculty roles at Swansea University (2015–2019) before moving to Aachen. Research Interests: Quantum error correction, fault-tolerant protocols, topological phases, quantum neural networks, and scalable quantum hardware. His group explores applications in trapped ions, Rydberg atoms, and superconducting qubits, with projects funded by ERC and EU Quantum Flagship grants. Grants/Projects: ERC Starting Grant (Quantum Neural Networks), EU AQTION (Trapped Ion Quantum Computing), VEQTOR (Fault-Tolerance Validation), and Munich Quantum Valley (Neutral-Atom Processors). Key Publications: Includes experimental demonstrations of fault-tolerant gates, surface-code error correction, and quantum neural networks. Over 120 peer-reviewed articles in Nature Physics , Physical Review X , and Quantum .

• Quantum Information Processing
• Quantum Simulation
• Quantum Error Correction
• +5 more

A. Douglas Stone is the Carl A. Morse Professor of Applied Physics and Professor of Physics at Yale University, and Deputy Director of the Yale Quantum Institute. His research focuses on theoretical condensed matter and optical physics, with emphasis on quantum transport, mesoscopic systems, laser physics, and wave chaos. He has contributed to foundational work on microcavity lasers, Steady-state Ab initio Laser Theory (SALT), and non-Hermitian systems such as coherent perfect absorption (CPA). His education includes a Ph.D. from MIT (1983) and a Rhodes Scholarship (1976-1978). Research Highlights: Development of SALT for microlaser design, discovery of CPA as time-reversed lasing, and exploration of Anderson localization in disordered systems. Awards include the Willis Lamb Medal (2015) and Phi Beta Kappa Science Book Award (2014) for his book Einstein and the Quantum . Advising: Supervised numerous Ph.D. students including Li Ge, Harald Schwefel, and Hakan Türeci. Collaborates with experimental groups on laser engineering, quantum computing, and nonlinear optics. Supported by NSF grants in materials and theoretical physics. Labs/Teams: Leads the A. Douglas Stone Research Group at Yale, focusing on non-Hermitian photonics, quantum measurement, and mesoscopic physics. Active in designing novel lasers and exploring topological optical systems.

• Atomic, Molecular & Optical Physics
• Quantum Physics
• Condensed Matter Physics
• +7 more

Prof. Patrick Maletinsky is a Full Professor and Head of the Department of Physics at the University of Basel. He leads the Maletinsky Research Group focused on quantum sensing and nanoscale magnetometry using nitrogen-vacancy (NV) centers in diamond. His academic journey includes a PhD from ETH Zurich (2010 Schläfli Prize recipient) and postdoctoral research at Harvard University. Current research emphasizes quantum technologies for imaging exotic materials and mesoscopic systems, with applications in condensed matter physics and quantum computing. Key projects include the QuantumLeap initiative and leadership in NCCR SPIN for silicon-based quantum computing. Education: PhD in Physics, ETH Zurich (2008) Studies at École Normale Supérieure Paris and JILA, Boulder Research interests span quantum sensing, nanoscale magnetometry, and NV center-based tools for probing magnetic materials. His group pioneered cryogenic nanoscale magnetometers and demonstrated imaging of cuprate superconductors. Awards include the Georg-H.-Endress Professorship (2012) and promotion to Associate Professor (2017) before becoming Full Professor and Department Head. Scientific achievements include coupling NV spins to mechanical oscillators, strain-based sensing, and nanophotonics in diamond nanostructures. His work bridges quantum technologies with condensed matter challenges, targeting exotic states like topological materials and strongly correlated systems.

• Quantum Physics
• Nanotechnology
• Quantum Sensing
• +3 more

Prof. Jelena Klinovaja is a Professor in the Department of Physics at the University of Basel, affiliated with the Philosophisch-Naturwissenschaftliche Fakultät. She holds leadership roles in research groups focusing on quantum theory of condensed matter, topological systems, and spin phenomena. Her career includes a PhD from the University of Basel (2012), a Harvard Fellowship (2013), and tenure as an assistant (2014) and associate professor (2019) before her current rank. She leads research on topological insulators, graphene, and Majorana fermions, with applications to topological quantum computing. Notable awards include the Swiss Physical Society Prize (2013) and an ERC Starting Grant (2017). Her work combines theoretical physics with experimental collaborations, particularly in nanowires and superconducting systems. She mentors students in the Honors Track program and contributes to interdisciplinary initiatives like NCCR SPIN. Education: Bachelor/Master from Moscow Institute of Physics and Technology (2007-2009); PhD in Theoretical Physics from University of Basel (2012). Research Interests: Topological effects in condensed matter, spintronics, quantum transport, Majorana fermions, and cavity quantum electrodynamics. Publications span over 50 peer-reviewed articles since 2012, focusing on topics like Josephson junctions, topological superconductivity, and hybrid systems. Her work bridges theoretical models with experimental realizations, emphasizing practical applications in quantum technologies. Awards: Swiss Physical Society Prize (2013), ERC Starting Grant (2017). Active in the scientific community, she collaborates with institutions worldwide and advises PhD students in quantum physics and nanoscience. Her research group also explores magnonic systems and topological materials engineering.

• Quantum Theory of Condensed Matter
• Topological Insulators
• Spin Phenomena
• +7 more

Yasuhiko Arakawa is a Professor at the Research Center for Advanced Science and Technology and Director of the Institute for Nano Quantum Information Electronics at the University of Tokyo. He holds the Hans Fischer Senior Fellowship at the TUM Institute for Advanced Study (TUM-IAS) since 2008, hosted by Gerhard Abstreiter, with a focus on Nano Photonics. His academic journey includes B.S., M.S., and Ph.D. degrees in Electrical Engineering from the University of Tokyo (1975–1980). Dr. Arakawa’s research has revolutionized semiconductor quantum dot lasers, including their theoretical prediction and high-performance demonstration. His contributions also include advancements in single photon emitters at telecom wavelengths and high-temperature semiconductor devices. He has led national projects for METI and MEXT and organized major conferences like the 1998 IEEE Semiconductor Laser Conference and the 2005 International Quantum Electronics Conference. His work spans photonics, nanotechnology, and optoelectronics, with notable publications in Applied Physics Letters , Physical Review B , and IEEE Photonics Technology Letters . Awards include the Fujiwara Prize (2007), IEEE William Streifer Award (2004), and IBM Science Award. Arakawa’s affiliations include leadership roles in quantum information science and collaborations with institutions like TUM-IAS. His labs and research groups focus on nanophotonics, semiconductor nanostructures, and quantum device engineering, advancing fields from optical communications to quantum computing.

• Semiconductor Quantum Dots
• Photonics
• Optoelectronics
• +3 more

Chris Peikert is a Professor in the Department of Computer Science and Engineering at the University of Michigan's College of Engineering. He received his Ph.D. from MIT's Computer Science and Artificial Intelligence Laboratory in 2006 under the supervision of Silvio Micali. Peikert is a leading researcher in cryptography, particularly known for his foundational work in lattice-based cryptography. His research interests span cryptography, lattices, coding theory, algorithms, and computational complexity, with a particular focus on cryptographic schemes whose security can be based on the apparent intractability of lattice problems. Peikert has made significant contributions to the development and analysis of lattice-based cryptographic primitives, including ring-LWE, fully homomorphic encryption, and zero-knowledge proofs. Peikert's recent work demonstrates continued leadership in post-quantum cryptography, with publications in top venues like CRYPTO, EUROCRYPT, and STOC. His research spans theoretical foundations of lattice problems to practical implementations of lattice-based cryptographic systems, including hardware acceleration for fully homomorphic encryption. IACR Fellow (2024) Test-of-Time Award from Crypto 2008 (2023) TCC Test-of-Time Award (2017) Patrick C. Fischer Development Professor of Theoretical Computer Science (2017) Best Paper Award at Eurocrypt 2010 Best Paper Award at STOC 2009 Alfred P. Sloan Foundation Fellowship Google Research Award Peikert has been actively involved in the cryptographic research community, serving on program committees for major conferences including CRYPTO, EUROCRYPT, FOCS, and TCC (where he was program co-chair in 2021). He has also developed educational resources, including extensive lecture materials on lattice-based cryptography and teaching courses on cryptography and theoretical computer science at both the undergraduate and graduate levels.

• Cryptography
• Lattice-based Cryptography
• Coding Theory
• +2 more

Prof. Dr. Christian Plessl is a W3 Professor of High-Performance Computing at the Institute of Computer Science, University of Paderborn. He leads the Paderborn Center for Parallel Computing (PC²), a national HPC center within the NHR alliance. His roles include Director of PC², Board Member of the NHR association, and member of the Sonderforschungsbereich 901. Education: PhD (Dr. sc. ETH) in Computer Engineering, ETH Zürich (2006) MSc in Electrical Engineering, ETH Zürich (2001) Postdoc at ETH Zürich (2007–2011) Research Interests: Architecture and tools for high-performance parallel and reconfigurable computing, FPGA acceleration, quantum chemistry, scientific computing, adaptive systems, and energy-efficient HPC solutions. Key projects include EKI-App (FPGA-based neural networks), FPGA4XPCS (X-ray spectroscopy), and HighPerMeshes (unstructured grid frameworks). Publications: Over 100 peer-reviewed works, focusing on FPGA acceleration, HPC frameworks, and quantum computing. Recent trends emphasize energy-efficient neural networks, FPGA-based quantum computing, and scalable HPC algorithms. Awards: Best Paper Awards at HEART 2023, ReConFig 2012/2014 Paderborn University Research Awards (2018, 2009) SEW-EURODRIVE Student Award (2001) Grants & Projects: Principal investigator in DFG, BMBF, and EU-funded projects. Collaborates with AMD/Xilinx, Intel/Altera, and Fujitsu. Leads initiatives like PerficienCC (custom computing) and HighPerMeshes. Labs/Teams: Directs the High-Performance Computing group at PC², focusing on FPGA supercomputing and HPC infrastructure. Active in the NHR alliance for national HPC coordination.

• High-Performance Computing
• Reconfigurable Computing
• FPGA Acceleration
• +3 more

Ben Sauer is a Professor of Physics at the Department of Physics within the Faculty of Natural Sciences at Imperial College London. He holds affiliations with the Physics Permanent Researchers group and multiple interdisciplinary initiatives, including Quantum Engineering, Science and Technology; Quantum Optics and Laser Science Group; and Quantum Technology for Fundamental Physics. His research interests span Atomic, Molecular, Nuclear, Particle, and Plasma Physics, alongside Optical Physics, Condensed Matter Physics, Theoretical and Computational Chemistry, and Electrical and Electronic Engineering. He is affiliated with the Centre for Cold Matter (https://www.imperial.ac.uk/centre-for-cold-matter/) and contributes to the Matter Community research group.

• Atomic Physics
• Molecular Physics
• Nuclear Physics
• +10 more