جست‌وجوی استاد و پژوهشگر

Aiichiro Nakanoمشاهده پروفایل

استاد

• Computational Science
• Scientific Machine Learning
• Materials Simulation
• +۲ مورد دیگر

Aiichiro Nakano is Professor of Computer Science with joint appointments in Physics & Astronomy, Quantitative & Computational Biology, and the Collaboratory for Advanced Computing and Simulations at USC. He holds a Ph.D. in physics from University of Tokyo (1989) and has authored over 485 refereed publications in scalable algorithms, scientific machine learning, and computational materials science. Research develops AI-driven simulation methods for materials discovery, quantum computing applications, and exascale molecular dynamics. Recent work focuses on foundation models for molecular simulations, high-energy-density polymers, and nanocatalysis under extreme conditions. Publications show consistent contributions to computational science infrastructure, with accelerating focus on machine learning interatomic potentials and quantum-classical computing integration. Research bridges theoretical development with high-performance computing implementations. National Science Foundation CAREER Award

Benne de Wegerمشاهده پروفایل

دانشیار

• Cryptology
• Information Security
• Cryptography Analysis
• +۵ مورد دیگر

Benne de Weger is an Associate Professor in the Department of Coding Theory and Cryptology at Eindhoven University of Technology (TU/e). His research focuses on cryptology, information security, computational number theory, and lattice-based cryptography. He holds MSc and PhD degrees in Mathematics from Leiden University. Prior to his academic position at TU/e, he worked in industry roles as a cryptographic software engineer and information security consultant. Research interests include RSA cryptanalysis, hash collision applications, Diophantine equations, and the abc-conjecture. His work bridges theoretical mathematics with applied cryptography, particularly in lattice-based systems and security protocol analysis. He has contributed to over 98 research outputs, including peer-reviewed articles and conference proceedings. Notable recent work involves lattice vector analysis and hybrid algorithms for cryptographic problem-solving. Benne has supervised 45 academic works but no specific student names are listed in the provided text. No scientific awards are explicitly mentioned. His research collaborations span global institutions, focusing on cryptographic systems and number theory applications.

Ben Buchlerمشاهده پروفایل

استاد

• Quantum Information
• Quantum Communication
• Optics
• +۳ مورد دیگر

Prof Ben Buchler is a Professor at The Australian National University (ANU), affiliated with the Physics Education Centre and the ARC Centre of Excellence for Quantum Computation and Communication Technology. His research focuses on quantum optics, atomic sensors, and optomechanics. He leads projects on quantum memory systems, gravitational wave detection, and exotic physics searches using global magnetometer networks. Research Interests: Quantum Communication and Information Cold Atom Physics Optical Sensors and Magnetometry Optomechanical Systems Gravitational Wave Detection Technologies Recent work highlights advancements in room-temperature quantum memory, cross-phase modulation in atomic systems, and applications of optomechanics for single-phonon control. Collaborations include global initiatives like the GNOME (Global Network of Optical Magnetometers) for dark matter and gravitational wave studies. Grants and Projects: ARC Centre of Excellence for Quantum Computation and Communication Technology (2018–2025) Projects on atomic sensors for dark matter, rotation, and magnetic field detection Labs/Teams: Active in the Physics Education Centre and collaborates with international teams on quantum optics and sensor technologies.

• Quantum Physics
• Statistical Mechanics
• Quantum Transport
• +۲ مورد دیگر

Dr Maximilien Barbier serves as a Lecturer at the University of Surrey's School of Computing, Engineering and Physical Sciences, maintaining active research output through 2025. His academic profile is anchored in theoretical quantum mechanics with a distinctive focus on quantum backflow phenomena. Research interests center on quantum backflow , non-equilibrium statistical mechanics , and microreversibility principles . His work bridges fundamental quantum theory with practical applications, particularly in time-dependent quantum systems and transport phenomena. Key contributions include extending quantum backflow concepts to multi-particle systems and relativistic frameworks, while developing experiment-friendly formulations for observable quantum effects. Analysis of his 12 publications (2015-2025) reveals consistent focus on quantum measurement theory, with increasing emphasis on multi-dimensional systems and experimental validation pathways. His fingerprint profile shows 100% specialization in quantum backflow and microreversibility, with strong connections to non-equilibrium systems (87%) and fluctuation relations (41%). Scientific awards: None documented Dr Barbier collaborates extensively with researchers including Goussev, Fewster, and Srivastava across international institutions. His research demonstrates sustained funding through consistent publication output, though specific grants aren't detailed. Current work explores two-dimensional quantum backflow and time-of-arrival distributions, suggesting active laboratory or computational research environment despite no explicit lab description.

Ahmet Avsarمشاهده پروفایل

استادیار

• Spintronics
• 2D Materials
• Quantum Devices
• +۳ مورد دیگر

Dr. Ahmet Avsar is an Assistant Professor and NRF Fellow in the Department of Material Science and Engineering at the National University of Singapore (NUS), appointed since September 2022. Prior to this, he served as an Assistant Professor of Physics at Newcastle University (UK) and held an EPFL Fellowship (co-funded by the European Marie Curie COFUND) at the Swiss Federal Institute of Technology Lausanne (EPFL, Switzerland) from 2016 to 2020. He completed his PhD in Physics at NUS. His research focuses on exploiting quantum degrees of freedom (spin, pseudospin, valley) in atomically thin materials for energy-efficient information technologies. This includes fabricating mesoscopic devices with 2D heterostructures and studying their electronic, magnetic, and optical properties at low temperatures. His work emphasizes sustainable computing through spin, magnon, and superconducting quasiparticle-based information processing. Key research areas include spintronics in graphene and 2D materials, van der Waals magnetism, excitonic devices, and low-temperature characterization. His recent projects explore anisotropic spin transport in black phosphorus, valleytronics, and logic-in-memory systems using atomically thin semiconductors. Dr. Avsar has been recognized as an NRF Fellow and EPFL Fellow. His research is supported by the National Research Foundation (NRF) of Singapore. He has authored or co-authored numerous high-impact publications in journals like Nature Materials , Nature Nanotechnology , and Review of Modern Physics . His academic trajectory includes postdoctoral research at EPFL and prior roles in the UK, reflecting a trajectory of excellence in quantum materials and nanotechnology research.

Brenda Rubensteinمشاهده پروفایل

دانشیار

• Electronic Structure Methods
• Quantum Chemistry
• Molecular Computing
• +۲ مورد دیگر

Brenda Rubenstein is an Associate Professor of Chemistry and Physics at Brown University and Director of the Data Science Institute. Her research bridges quantum chemistry and materials science, developing stochastic electronic structure methods for accurate large-scale simulations. She also explores molecular computing and computational biophysics. Her group emphasizes diversity, collaboration, and work-life balance. Recent work includes quantum Monte Carlo techniques for materials discovery, machine learning approaches for protein dynamics, and quantum computing applications. She received a named professorship in 2025 and leads the Levermore Global Scholars program. Her publications focus on computational methods across chemistry, physics, and materials science.

Ferdinand Schmidt-Kalerمشاهده پروفایل

استاد

• Quantum Computing
• Quantum Communication
• Quantum Simulation
• +۶ مورد دیگر

Ferdinand Schmidt-Kaler is a Professor and leads the Cold Ions and Experimental Quantum Information Processing group at the Institute of Physics, Johannes Gutenberg Universität Mainz . His research focuses on leveraging quantum effects in trapped ions for applications in quantum computing, communication, simulation, and enhanced measurement techniques. Projects: Quantum computer, Trapped ion quantum thermodynamics, Rydberg states, Cold Thorium ions, Quantum cooperativity, Vortex light fields Collaborations: TUM (Technical University of Munich), Universities of Hannover and Siegen, PTB, eleqtron, qudora, Infineon, neQxt GmbH His team explores experimental quantum information processing using trapped ions, with recent advancements in 3D segmented Paul traps and EU-Chips Act funded initiatives. Current grants include an ERC Synergy Grant (2024) and BMBF funding for the 2025 Quantum Repeater Network. Research Areas: Quantum computing, Trapped ions, Quantum cooperativity, Vortex light fields, Thorium-based quantum systems Former advisees include PhD graduates like Dr. Thomas Feldker , Dr. Niels Kurz , and Dr. Stefan Ulm . The group actively participates in seminars and events through the Quantum Mainz network.

M. Hadi Aminiمشاهده پروفایل

استادیار

• Distributed Machine Learning
• Federated Learning
• Interdependent Networks
• +۷ مورد دیگر

M. Hadi Amini is an Assistant Professor at Florida International University's Knight Foundation School of Computing and Information Sciences. He founded and directs the Sustainability, Optimization, and Learning for InterDependent networks (SOLID) laboratory, focusing on cyber-physical-social systems and distributed AI applications. Ph.D., Electrical and Computer Engineering (2019), Carnegie Mellon University M.Sc., Electrical and Computer Engineering (2015), Carnegie Mellon University M.Sc. (2013), Tarbiat Modares University B.Sc. (2011), Sharif University of Technology His research spans federated learning, interdependent network optimization, and AI applications in smart cities , energy systems , and healthcare . Recent work emphasizes privacy-preserving techniques, quantum encryption, and blockchain integration for secure distributed learning. The 15 most recent publications highlight trends in large language models , edge computing , medical imaging security , and infrastructure resilience , with interdisciplinary emphasis across computer science, systems engineering, and urban planning. Best Paper Award, IEEE Conference on Computational Science & Computational Intelligence (2019) Best Journal Paper Award, Springer Nature Operations Research Forum (2021) Excellence in Teaching Award, FIU (2020) Multiple Best Reviewer Awards, IEEE Transactions NSF Travel Awards (2019) As Associate Editor for Frontiers in Communications and Networks and book series editor for Sustainable Interdependent Networks , he actively shapes research discourse. His lab has secured $3.6M in federal/state funding for AI-driven infrastructure projects.

Xinliang Fengمشاهده پروفایل

استاد

• 2D nanomaterials
• Low-dimensional nanostructured functional materials
• Hybrid materials for energy storage and conversion
• +۱۳ مورد دیگر

Xinliang Feng is a W3 Chair Professor at Dresden University of Technology, where he heads the Chair of Molecular Functional Materials. He also holds an Adjunct Chair Professorship at Shanghai Jiao Tong University, China. Previously, he served as a Distinguished Group Leader at the Max Planck Institute for Polymer Research in Mainz, Germany (2012-2014), and as a Group Leader at the same institute (2007-2012). His educational background includes a Bachelor's degree in Analytic Chemistry (2001), a Master's degree in Organic Chemistry (2004), and a PhD from the Max Planck Institute for Polymer Research (2008). Feng's research focuses on the frontier areas of nanomaterials science, particularly on 2D nanomaterials and low-dimensional nanostructures for energy applications. His work spans from fundamental organic synthesis to applied energy technologies. Key research areas include: Bottom-up synthesis of carbon nanostructures and graphene nanoribbons 2D polymers and supramolecular polymers with tailored properties Mesoporous covalent-bonding organic frameworks for energy storage Organic synthetic methodology in aromatic coupling reactions 2D carbon-rich conjugated polymers for electronic and optoelectronic applications His extensive publication record includes over 436 journal papers with significant impact, featuring publications in top-tier journals including Nature (3 papers), Science (1 paper), Nature Materials (2 papers), and numerous papers in Advanced Materials, Angewandte Chemie, and Journal of the American Chemical Society. His work has garnered over 34,797 citations in Web of Science (H-index ≥88) and over 44,959 citations in Google Scholar (H-index ≥101). Feng has received numerous prestigious awards recognizing his contributions to materials science and chemistry: Member of the German National Academy of Sciences (Leopoldina, 2024) Member of the Academia Europaea (2019) Fellow of the European Academy of Sciences (2019) EU-40 Materials Prize (2018) ERC Consolidator Grant Award (2018) Multiple years as a Highly Cited Researcher (2014-2018) ERC Starting Grant Award (2012) IUPAC Prize for Young Chemists (2009) He serves on the international/editorial advisory boards of 12 international journals and has organized or co-organized 30 symposia, workshops, and conferences. As the Head of the ESF Young Research Group "Graphene Center Dresden" and Working Package Leader for the EU GRAPHENE FLAGSHIP project, he plays a significant role in European materials research initiatives.

Horacio Castilloمشاهده پروفایل

دانشیار

• Condensed Matter Physics
• Statistical Mechanics
• Glass Transition
• +۳ مورد دیگر

Horacio Castillo is an Associate Professor in the Department of Physics and Astronomy at Ohio University, affiliated with the Nanoscale Quantum Phenomena Institute (NQPI). His research focuses on condensed matter theory, particularly glassy dynamics, dynamical heterogeneities, and non-equilibrium systems. He explores topics such as fluctuating relaxation times, aging dynamics, and the interplay between structure and dynamics in supercooled liquids and amorphous solids. Key research areas include the study of glass transition phenomena using molecular simulations and theoretical models. His work addresses questions about spatial and temporal correlations in glass-forming systems, dynamic susceptibility, and the application of spin-glass concepts to biological reprogramming processes. Castillo’s contributions span experimental collaborations and computational studies, with a focus on advancing understanding of complex materials and their underlying physics. Publications highlight advancements in characterizing rotational/translational dynamics in supercooled liquids, modeling dynamic heterogeneity, and analyzing aging regimes in silica glasses. His research bridges traditional condensed matter physics with interdisciplinary topics such as biophysics, leveraging tools from statistical mechanics and nonlinear dynamics. Castillo has contributed to the Ohio University community through involvement in academic events like the NQPI-CMSS Joint Poster Session (2015) and mentoring student research projects, as evidenced by his presence in student research expos. His grants and collaborations reflect a commitment to advancing fundamental knowledge in nanoscale and quantum phenomena.

Guofu Niuمشاهده پروفایل

استاد

• Semiconductor Devices
• Compact Modeling
• RF Circuit Design
• +۳ مورد دیگر

Guofu Niu is a Professor in the Department of Electrical and Computer Engineering at Auburn University, holding the Ed and Peggy Reynolds Family endowed chair. His research specializes in semiconductor device physics, compact modeling of SiGe heterojunction bipolar transistors (HBTs), FinFETs, and cryogenic electronics for RF and power applications. Key research areas include RF linearity characterization, avalanche effects, thermal noise, and low-temperature device performance. He has developed advanced models (e.g., Mextram) for circuit simulation tools, enhancing the accuracy of semiconductor design workflows. Publications focus on nano-scale device reliability, tunneling currents, and optimization of RF amplifiers, with applications in 5G technology and extreme-environment electronics. Collaborative projects span industry and academia to advance semiconductor modeling frameworks.

Nicola Dragoniمشاهده پروفایل

استاد

• Cybersecurity
• Internet of Things (IoT)
• Machine Learning
• +۷ مورد دیگر

Nicola Dragoni is a Professor in Cybersecurity Engineering at the Department of Applied Mathematics and Computer Science, Technical University of Denmark (DTU). As Deputy Director and Head of Section, he leads research initiatives focused on securing emerging technologies. Key Research Areas : Internet of Things (IoT) security, machine learning for intrusion detection, cyber-deception techniques, fog computing, malware analysis, blockchain applications, and wireless sensor network security. Supervision : Actively supervising multiple PhD students in projects related to cyber-deception, moving target defense, and bio-inspired security mechanisms. Recent Publications : Contributions to IoT honeypots, drone identification via RF signals, passkey adoption challenges, and cyber range taxonomies.

Alexander D Maloneyمشاهده پروفایل

استاد

• Theoretical Physics
• Quantum Information Theory
• Black Holes
• +۴ مورد دیگر

Alexander D Maloney serves as the Kathy and Stan Walters Endowed Professor of Quantum Science and Director of the Institute for Quantum and Information Science at Syracuse University's College of Arts and Sciences, Department of Physics. His leadership bridges theoretical physics and quantum information science through institutional and research initiatives. His academic foundation includes a Ph.D. in Physics from Harvard University (2003) with dissertation "Time-Dependent Backgrounds of String Theory," complemented by dual B.Sc. and M.Sc. degrees in Physics and Mathematics from Stanford University (1998). Maloney's research centers on quantum gravity and information theory, exploring black hole physics through string theory frameworks. His work connects quantum field theory, cosmology, and information paradox resolution, with particular focus on wormhole geometries, resurgence phenomena, and holographic dualities. This interdisciplinary approach examines how quantum information principles shape spacetime structure. Recent publications reveal evolving emphasis on Narain ensemble statistics, modular invariance applications, and quantum cosmology in reduced dimensions. His 2020-2025 output demonstrates methodological progression from semiclassical gravity to non-perturbative quantum gravity techniques, increasingly integrating machine learning concepts with theoretical frameworks. His scientific recognition includes: James McGill Professor at McGill University (2023) Sir William Macdonald Chair in Physics at McGill University (2020) Maloney secures major research funding including NSERC Discovery Grants (2015-2020, 2020-2025) and Simons Foundation's "It from Qubit" collaboration (2015-2022). He actively shapes academic discourse through search committee leadership, journal reviewing (Journal of High Energy Physics since 2007), and international conference organization at Aspen Center for Physics and Institute for Advanced Study. As Director of Syracuse's Institute for Quantum and Information Science, he cultivates collaborative research environments exploring quantum gravity applications to quantum computing and cosmological modeling.

Bhavin J. Shastriمشاهده پروفایل

استادیار

• Silicon Photonics
• Nanophotonics
• Photonic Integrated Circuits
• +۵ مورد دیگر

Bhavin J. Shastri is an Assistant Professor in the Department of Physics, Engineering Physics and Astronomy at Queen's University in Canada. His research explores the physics of light for computing , pushing frontiers in information and signal processing through photonic computing and quantum/neuromorphic photonics . He is affiliated with the Centre for Nanophotonics and NUCLEUS , a pan-Canadian photonic computing program funded by NSERC CREATE, bridging artificial intelligence and quantum information . Canada Research Chair & Principal Investigator Faculty Affiliate at Vector Institute (2020-) Editorial Board Member of JPhys Photonics (2019-) Member of IEEE Photonics Society Technical Affairs Council (2019-) Visiting Researcher Scholar at Princeton University (2018-) Shastri Lab members have access to world-class shared facilities, including the Centre for Nanophotonics (CFI-Innovation Fund), Nanofabrication Kingston , the Centre for Advanced Computing , and the Digital Research Alliance of Canada . The lab takes an interdisciplinary approach combining nanophotonics with complex systems on emerging substrates. His research focuses on silicon photonics , nanophonic processors , and photonic integrated circuits with applications to deep learning , nonlinear programming , and quantum information science . His articles show consistent exploration of quantum photonic neural networks , photonic memory systems , and optical signal processing for machine learning and quantum technologies . 2020 IUPAP Young Scientist Prize in Optics 2014 Banting Postdoctoral Fellowship 2012 D. W. Ambridge Prize 2011 IEEE Photonics Society Graduate Student Fellowship 2011 NSERC Postdoctoral Fellowship Multiple Best Student Paper Awards Shastri's lab supervises Ph.D. candidates and postdoctoral fellows working on quantum photonics , neuromorphic computing , and photonic AI systems . His recent work includes photonic tensor cores for scientific computing , quantum photonic neural networks , and all-optical memory systems. Shastri Lab designs programmable nanophotonic processors with potential to outperform microelectronic processors in energy efficiency and computational speeds by seven and four orders of magnitude respectively. Their work spans from device design to system-level implementations in optical computing for machine learning and quantum information processing .

Juan Felipe Carrasquilla Álvarezمشاهده پروفایل

استادیار

• Condensed Matter Physics
• Quantum Computing
• Machine Learning
• +۳ مورد دیگر

Juan Felipe Carrasquilla Álvarez is an Assistant Professor in the Department of Physics at the University of Toronto. His research focuses on the intersection of condensed matter physics, quantum computing, and machine learning, emphasizing quantum many-body systems, quantum device validation, and phase identification. He holds affiliations with the Acceleration Consortium and the Centre for Quantum Information and Quantum Control at the University of Toronto, and is a Perimeter Institute Visiting Fellow. Education: PhD in Physics from SISSA (Italy), followed by postdoctoral fellowships at Georgetown University (2011-2013), the Perimeter Institute (2013-2016), and a stint as a Research Scientist at D-Wave Systems Inc. Earlier, he completed the Abdus Salam ICTP Diploma Programme (2005-2006). Research interests span quantum Monte Carlo simulations, machine learning-driven analysis of quantum systems, and applications to quantum computing validation. His work bridges theoretical physics with computational methods, addressing challenges in both classical and quantum computing paradigms. Notable contributions include developing neural network architectures for quantum state reconstruction, error mitigation in quantum simulations, and optimal control strategies for quantum thermal machines. His publications explore topics like topological order detection, shadow tomography, and hybrid quantum-classical algorithms. Awards/Fellowships: Perimeter Institute Postdoctoral Fellowship (2013-2016), Georgetown University Postdoctoral Fellowship (2011-2013), SISSA PhD Fellowship (2006-2010), and Abdus Salam ICTP Diploma Programme Fellowship (2005-2006). Advising/Grants: No formal advisee list provided. Active in interdisciplinary collaborations through affiliations with major quantum research consortia and institutions. Lab/Teams: Part of the Acceleration Consortium and the Centre for Quantum Information and Quantum Control, contributing to cutting-edge quantum computing and machine learning research.