جست‌وجوی استاد و پژوهشگر

Ulya R. Karpuzcuمشاهده پروفایل

دانشیار

• Physics of Computing
• Energy-Efficient Computing
• Application-Domain Specialized Architectures
• +۶ مورد دیگر

Ulya R. Karpuzcu is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Minnesota, Twin Cities. Her research spans physics of computing, energy-efficient computing, application-domain specialized architectures, hardware security and reliability, and approximate computing. Her research interests focus on understanding how physical principles shape computing paradigms to address emerging energy problems. Key areas include: Physics of computing and physical limits of computation Energy-efficient computing through novel architectures Hardware security and reliability Approximate computing techniques Spintronics and non-volatile memory computing Quantum computing architectures Dr. Karpuzcu's recent publications show a strong focus on in-memory computing, Ising machines for combinatorial optimization, spintronics-based architectures, and quantum computing. Her work bridges theoretical foundations with practical hardware implementations, particularly exploring energy-efficient solutions through novel computing paradigms that address physical constraints. Her notable awards include: NSF CAREER Award (2016) on 'Trading Communication and Storage for Computation to Enhance Energy Efficiency' NSF SPX grant (2017) on scalable in-memory processing using spintronics NSF CCF grant (2014) on soft (approximate) near-threshold voltage computing NSF XPS grant (2014) on approximate communication to enhance energy efficiency Dr. Karpuzcu actively mentors PhD students and undergraduate researchers, with her lab 'wide open to motivated Ph.D. students and undergraduate researchers.' She has served on technical program committees for major conferences including ISCA, HPCA, MICRO, and ICCAD, and has co-organized workshops on Near-threshold Voltage Computing. She teaches courses on computer architecture, physics of computation, and quantum computing, including developing innovative courses like 'Physics of Computation' inspired by Richard Feynman's lectures.

Dieter Hornsمشاهده پروفایل

استاد

• Astroparticle Physics
• High Energy Astrophysics
• Gamma-ray Astronomy
• +۴ مورد دیگر

Prof. Dr. Dieter Horns is a Professor (W2) for Astroparticle Physics at the University of Hamburg, Faculty of Mathematics, Informatics and Natural Sciences, Institute of Experimental Physics. He has held this position since 2007. Previously, he was an Assistant at the University of Tübingen (2004-2007) and Research Assistant at Max-Planck Institute for Nuclear Physics (2001-2004). He obtained his Doctorate in Physics from Universität Hamburg in 2000. His research focuses on high-energy astrophysics (keV-TeV range), multi-wavelength investigations of gamma-ray sources, experimental techniques for ground-based air Cherenkov telescopes (HESS I&II, CTA), time-domain astrophysics, low-noise photon detection, and dark matter searches (WISPs). He leads significant projects including the HAFUN research building and coordinates dark matter research for the Quantum Universe Cluster of Excellence. Horns' publications demonstrate expertise in gamma-ray astronomy, dark matter phenomenology, cosmic ray physics, and telescope instrumentation. His recent work shows strong focus on CTA/LST-1 telescope operations, pulsar studies, dark matter constraints, and cosmic ray measurements using H.E.S.S. data. He has trained 32 B.Sc. students, 44 M.Sc. students, 22 PhD students, and 13 PostDocs since 2007. He coordinates the Quantum Universe Research School and leads multiple international collaborations including H.E.S.S. and CTA. As Principal Investigator for the HAFUN research building, he oversees major instrumentation projects.

Anatoly Maksimchukمشاهده پروفایل

پژوهشگر

• High-Intensity Laser-Plasma Interactions
• Table-Top Particle Accelerators
• Laser Wakefield Acceleration
• +۴ مورد دیگر

Dr. Anatoly Maksimchuk is a Research Scientist in the Electrical Engineering and Computer Science Department at the University of Michigan's College of Engineering. He plays a pivotal role in the Center for Ultrafast Optical Science (CUOS) and serves on the Executive Committee of the Michigan Institute for Plasma Science and Engineering (MIPSE). As co-PI of the $20M ZEUS facility, he oversees laser beam delivery systems and manages experimental areas. Laser-Matter Interaction at Relativistic Intensities Table-Top Plasma Accelerators High-Power Short Pulse Lasers Medical Applications (Cancer Therapy, Imaging) Nuclear Physics (Isotope Production) Quantum Electrodynamics Regime Studies Dr. Maksimchuk's research includes groundbreaking work on electron/ion acceleration, nonlinear Thomson scattering, and relativistic harmonics generation. Recent publications focus on ZEUS facility development and extreme laser-plasma interactions. 2021 University of Michigan Research Faculty Achievement Award 2013 Fellow of the American Physical Society 2009 & 2014 College of Engineering Outstanding Research Scientist Awards His work has appeared in 200+ publications with 4000+ citations, including in Nature , Science , and Physical Review Letters . He mentors doctoral committees and supervises student researchers, collaborating with Nobel laureate Gérard Mourou.

Paul Campbellمشاهده پروفایل

پژوهشگر

• Magnetized High Energy Density Physics
• Laboratory Astrophysics
• Laser-Plasma Accelerators
• +۳ مورد دیگر

Paul Campbell is an Assistant Research Scientist associated with the ZEUS Laser Facility at the University of Michigan, Ann Arbor. His work focuses on particle acceleration and magnetic field generation during intense laser-plasma interactions, with applications in high-energy-density physics and laboratory astrophysics. He holds a PhD in Applied Physics from the University of Michigan and previously held a DOE Fusion Energy Sciences postdoctoral fellowship. Education: PhD in Applied Physics, University of Michigan; BS in Physics, University of the South (Sewanee, Tennessee). Research interests include: Laser-plasma accelerators Neutron source optimization Magnetized plasmas Ultrafast diagnostics Pulsed power systems Recent publications span experimental and computational domains, including: Advancements in neutron generation and imaging via dense plasma focus (2024-2025) Multi-messenger diagnostics for laser-driven shocks (2025) Thermonuclear fusion yield improvements in Z-pinch systems (2024) Analysis of plasma stagnation and instability mechanisms (2023-2024) Interdisciplinary work on digital mental health regulation (2024-2025) He contributes to the development and operation of high-power laser systems like MJOLNIR, focusing on diagnostics, stability, and energy coupling efficiency. His contact details include campbpt@umich.edu, and he is affiliated with the High Field Science research group.

Itay Henمشاهده پروفایل

دانشیار

• Quantum Computing
• Computational Physics
• Quantum Simulation
• +۴ مورد دیگر

Itay Hen is an Associate Professor of Research in the Department of Physics and Astronomy and Principal Scientist at the Information Sciences Institute (ISI), University of Southern California. He has held research faculty positions at USC since 2013, progressing from Assistant Professor (2016-2020) to his current Associate Professor role since 2020, while leading ISI's quantum computing initiatives. His educational background includes dual bachelor's degrees in Physics and Psychology from Tel Aviv University, followed by a Ph.D. in Physics from the same institution in 2009. Postdoctoral training included theoretical condensed matter research at Georgetown University and UC Santa Cruz, plus a senior scientist role at NASA Ames Research Center within the Quantum Artificial Intelligence Laboratory—a NASA/Google/USRA collaboration. Dr. Hen's research centers on Quantum Computing and Computational Physics , with specific expertise in gate-based quantum simulation algorithms, quantum annealer limitations, and methods for studying equilibrium/non-equilibrium properties of strongly correlated quantum systems. His work bridges theoretical frameworks with practical quantum hardware applications. Analysis of his 15 most recent publications (2017-2025) reveals consistent focus on quantum algorithms and Monte Carlo techniques, with accelerating output in 2024. Key themes include Feynman path integrals, spin/Bose-Hubbard model simulations, and quantum spectrum estimation, primarily published in Physical Review journals and Quantum. He leads the Hen Lab at USC's ISI, which operates within the Quantum Artificial Intelligence Laboratory framework. His research has been supported through NASA/Google/USRA collaborations focused on quantum optimization for complex computational problems, though specific grant details and student mentorship records aren't provided in the source material.

Kerem Camsariمشاهده پروفایل

استادیار

• Probabilistic Computing
• Quantum Computing
• Neuromorphic Engineering
• +۳ مورد دیگر

Kerem Camsari is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of California Santa Barbara since 2020. He earned his Ph.D. from Purdue University in 2015, where he also worked as a postdoctoral researcher. His research focuses on probabilistic computing, quantum circuits, and domain-specific hardware accelerators for the "beyond-Moore" era of electronics. Key Affiliations: Assistant Professor, UC Santa Barbara (2020–present) Postdoctoral Researcher, Purdue University (post-2015) Founding Member, IEEE Nanotechnology Council Technical Committee His work established a modular framework connecting emerging materials to circuits/systems, later applied to p-bits and p-circuits as bridges between classical and quantum computing. He actively contributes to IEEE, serving as Senior Member. Scientific Awards: IEEE Magnetics Society Early Career Award (2021) Bell Labs Prize ONR Young Investigator Award NSF CAREER Award

Tor Aamodtمشاهده پروفایل

استاد

• Computer Architecture
• GPU Architecture
• Deep Neural Networks
• +۴ مورد دیگر

Tor Aamodt is a Professor in the Department of Electrical and Computer Engineering at the University of British Columbia within the Faculty of Applied Science. He has been a faculty member at UBC since 2006 and maintains an active research program in computer architecture with a focus on GPU systems. His academic journey includes a BASc, MASc, and PhD from the University of Toronto, followed by industry experience at NVIDIA where he worked on the memory system architecture of the GeForce 8 Series GPU. Professor Aamodt's research spans computer architecture with particular expertise in accelerators for deep neural networks and graphics processor unit architecture for non-graphics computing. His work has evolved from foundational GPU architecture research to cutting-edge applications in ray tracing, robotics acceleration, and energy-efficient computing. He has made significant contributions to understanding GPU memory systems, interconnect architectures, and the application of GPUs to machine learning workloads. His research group has developed influential tools including the first widely used GPGPU architecture simulator and the Vulkan-Sim ray tracing simulator. His recent publications reveal a strong trend toward real-time ray tracing acceleration and robotics applications, with substantial work on optimizing tree traversal algorithms for ray tracing workloads. The research shows a clear evolution from general GPU architecture studies to specialized hardware-software co-design for specific application domains, particularly in rendering and robotics. His group consistently publishes at top-tier architecture venues including MICRO, ISCA, and ASPLOS. IEEE Micro Top Picks (3 papers) Communications of the ACM Research Highlight MICRO Conference Hall of Fame NVIDIA Academic Partnership Award (2010) NSERC Discovery Accelerator (2016-2019) Google Faculty Research Award (2016) SAMSUNG Global Research Outreach Award (2023) IISWC 2023 Best Paper Award Professor Aamodt has advised numerous graduate students who have gone on to positions at leading technology companies including Google. His research has been supported by major grants from NSERC, NVIDIA, Google, and Samsung. He has served in leadership roles including Program Chair for ISPASS 2013 and General Chair for ISPASS 2014, and was a Visiting Associate Professor at Stanford University during his 2012-2013 sabbatical. His group maintains active collaborations with industry partners and has produced influential open-source tools including GPGPU-Sim and Vulkan-Sim.

Sanghoon Songمشاهده پروفایل

پژوهشگر

• Ultrafast X-ray Scattering
• Condensed Matter Physics
• Materials Science
• +۳ مورد دیگر

Sanghoon Song is a Staff Scientist at the SLAC National Accelerator Laboratory , affiliated with Stanford University . He specializes in ultrafast x-ray scattering and coherent x-ray diagnostics , with a focus on nonequilibrium material dynamics and time-resolved structural analysis . Key Techniques : X-ray Photon Correlation Spectroscopy (XPCS), Split-Delay Systems, Femtosecond X-ray Emission Spectroscopy Research Themes : Structural relaxation in supercritical fluids, Charge Density Wave dynamics, Nanoscale phase transitions His work has developed novel instrumentation for X-ray free-electron lasers, including high-pressure cells and split-delay optics. Recent studies demonstrate sub-picosecond decorrelation in glass-forming liquids and stochastic domain wall dynamics in ferroelectric superlattices. He explores electron-phonon coupling through Fe K-edge spectroscopy and contributes to macromolecular femtosecond crystallography at LCLS. Collaborations include Stanford synchrotron radiation facilities and Korean Physical Society initiatives for women in physics. Scientific Awards : ORCID: 0000-0003-3493-1850

Shayantan Chaudhuriمشاهده پروفایل

پژوهشگر ارشد

• Computational Chemistry
• Quantum Chemistry
• Covalent Drug Design
• +۳ مورد دیگر

Shayantan Chaudhuri is a Research Fellow at the School of Chemistry, University of Nottingham, joining the Hirst Group in September 2023. His work focuses on quantum chemistry methods to characterize and accelerate covalent drug design, alongside prior research in computational simulation of metal nucleation on diamond electrodes and property-driven generative design of organic molecules and metal nanoparticles. Research Interests: Quantum Chemistry and DFT-based Methods Materials Science (metal nanoparticles, diamond surfaces) Machine Learning Applications Covalent Drug Design Scientific Contributions: Developed methods for quantum many-body dispersion calculations Investigated stability of gold atoms on diamond surfaces Studied electrochemical ozone generation using doped diamond electrodes Explored adiabatic vs. non-adiabatic electron transfer in 2D materials

Nandini Ananthمشاهده پروفایل

استاد

• Quantum Mechanics
• Theoretical Chemistry
• Physical Chemistry
• +۵ مورد دیگر

Nandini Ananth is a Professor in the Department of Chemistry and Chemical Biology at Cornell University's College of Arts and Sciences. Her research focuses on developing theoretical simulation techniques to understand chemical selectivity at the molecular level through quantum mechanical principles. Her educational background includes: Postdoctoral research at California Institute of Technology PhD from University of California, Berkeley MSc from Indian Institute of Technology Madras Professor Ananth's research spans theoretical, physical, and materials chemistry with emphasis on quantum mechanical processes in complex chemical systems. Her group develops and applies techniques based on semiclassical theory and path integral formulations to investigate charge and energy transfer pathways in condensed phases. This work has significant implications for designing novel materials, particularly in organic photovoltaics where understanding exciton generation, transport, and dissociation is critical for improving solar energy conversion efficiency. Analysis of Professor Ananth's recent publications (2021-2024) reveals continued innovation in computational methodologies for quantum dynamics. Her work bridges theoretical chemistry and materials science, with key advancements in path integral methods, ring polymer molecular dynamics, and semiclassical approaches to nonadiabatic processes. A notable trend is the increasing computational sophistication of her methods, including GPU acceleration and hybrid quantum-classical algorithms, while maintaining focus on fundamental physical chemistry questions related to energy conversion processes. Among her notable scientific achievements is the NSF CAREER Award for her project "Theoretical Investigation of Photo-induced Charge and Energy Transfer in Organic Photovoltaic Materials". Professor Ananth actively mentors graduate students in her research group, with publications showing collaborations with numerous students and postdoctoral researchers. Her work has been supported by significant funding including the NSF CAREER award, which focuses on theoretical investigations of charge and energy transfer mechanisms relevant to organic photovoltaic materials development. The Ananth Group at Cornell University maintains strong connections with the university's Center for Advanced Computing and collaborates across chemistry, physics, and materials science disciplines. They continue to advance computational methodologies while applying them to challenging problems in energy conversion and quantum dynamics, particularly in the areas of singlet fission and nonadiabatic reaction dynamics.

• Astrophysics
• Cosmology
• Space Science
• +۳ مورد دیگر

Marisa Girardi is an Associate Professor in the Department of Physics at the University of Trieste. She serves as a member of the Department's Board, multiple Boards of Studies, and Doctoral Studies Boards across various program cycles (XXIX through XXXIX). Her academic position and research activities indicate her as a prominent figure in astrophysics at the institution. Dr. Girardi's research focuses on galaxy clusters as cosmic laboratories for investigating fundamental astrophysical questions: Studying galaxy clusters as the largest bound structures in the Universe Investigating the nature of Dark Matter and Dark Energy through cluster observations Examining chemical evolution of the Universe and cosmic structure formation Analyzing plasma physics on cosmological scales and relativistic particle acceleration Her observational research utilizes optical band data from member galaxies and X-ray band data from the intracluster medium. Current research programs include the DARC (Dynamic Analysis of Radio Clusters) project, mass distribution studies using the Very Large Telescope (program 186.A-0798), and investigating the origin of fossil groups through the FOGO International Time Program. Dr. Girardi is actively involved in major international collaborations: Member of the Euclid Consortium (ESA mission for Dark Energy investigation) Participant in the National Centre for HPC, Big Data and Quantum Computing Contributor to the EMC2 - Euclid Mission Cluster Cosmology project She serves on Doctoral Studies Boards for Physics programs across multiple cycles and maintains an active research webpage where she advertises PhD and Master Thesis opportunities in her field of expertise.

• Optics and Photonics
• Laser Physics
• Structured Light
• +۳ مورد دیگر

Panu Tapani Hilden serves as a Postdoctoral Researcher at Aalto University's School of Science within the Department of Applied Physics. He is an active member of the Optics and Photonics research group, conducting advanced theoretical and experimental work in photonics with focus on light manipulation and optical system design. His position involves developing novel optical methodologies for imaging, sensing, and communications applications. Hilden's research spans structured light phenomena, particularly non-diffractive beams like Bessel beams, and their practical implementations. Key interests include waveguide crosstalk suppression, depth-of-field extension in imaging systems, optical gas sensing, and laser beam acceleration techniques. His work bridges fundamental optical physics with engineering applications, emphasizing computational design and nanofabrication approaches for photonic components. Analysis of his 2021-2024 publications reveals a strong trajectory in applied optics research, with increasing emphasis on inverse design methodologies and nanoscale optical engineering. His work consistently addresses challenges in light propagation control, imaging resolution enhancement, and ultra-sensitive detection systems, demonstrating interdisciplinary integration of photonics, materials science, and computational modeling. No scientific awards or fellowships were documented in the provided source material. Information regarding student advising, grant funding, or doctoral supervision activities was not included in the available documentation. Hilden operates within Aalto University's Optics and Photonics research group, a collaborative environment focused on quantum optics, nanophotonics, and optical instrumentation. This group provides the infrastructure for experimental photonics research including laser systems, nanofabrication capabilities, and optical characterization laboratories essential for his work on structured light and imaging systems.

Matthew Addicoatمشاهده پروفایل

مدرس ارشد

• Computational Chemistry
• Materials Science
• Metal-Organic Frameworks
• +۳ مورد دیگر

Dr. Matthew Addicoat is a Senior Lecturer in the Chemistry and Forensic Science department at Nottingham Trent University's School of Science & Technology. He serves as an Independent Research Fellow in Functional Materials and teaches courses including Professional Development: Introduction to Scientific Programming in Python, Introduction to Physical Chemistry: Thermodynamics, and Computational Chemistry and Drug Design. PhD, University of Adelaide (2004-2009) Post-doctoral Research Fellow, Australian National University (2008-2010) Japan Society for the Promotion of Science Postdoctoral Research Fellow, Nagoya University (2010-2012) Marie Curie International Incoming Fellow, Jacobs University (2013-2015) Post-doctoral Research Fellow, Universität Leipzig (2016) Dr. Addicoat's research focuses on computational combinatorial chemistry, using computer calculations to search and sort thousands to millions of possible chemical compounds before synthesis. His primary research areas include Molecular Framework Materials (MOFs, COFs, ZIFs), Ionic Liquids, and Transition Metal Clusters. His work on framework materials explores highly porous structures with applications in gas adsorption, separation, catalysis, and sensing. His Ionic Liquids research investigates tunable physicochemical properties for green chemistry and energy applications. His Transition Metal Clusters research examines sub-nanometer clusters for environmentally important catalytic reactions. Analysis of Dr. Addicoat's publication record reveals a strong focus on computational methods for materials design, particularly framework structures. His work demonstrates expertise in force field development, molecular simulation techniques, and software development for materials discovery. The publications show a clear progression from fundamental computational methods (2011-2012) to specialized applications in materials science (2013-2016), with significant contributions to metal-organic frameworks and ionic liquids research. Scientific recognition includes: Marie Curie International Incoming Fellowship Dr. Addicoat is the principal developer of AuToGraFS (Automatic Topological Generator for Framework Structures), open-source software available on GitHub with 18 stars and 4 forks. He collaborates internationally with researchers including Prof. Donglin Jiang (JAIST, Japan), Prof. Rahul Banerjee (NCL, Pune, India), and Dr. Manuel Tsotsalas (KIT, Germany). His work bridges computational chemistry with practical materials design, creating tools that accelerate the discovery of novel functional materials.

Terry L. Schalkمشاهده پروفایل

استاد مدعو

• experimental particle physics
• accelerator physics
• astrophysics
• +۴ مورد دیگر

Terry L. Schalk is an Adjunct Professor of Physics at the University of California, Santa Cruz, affiliated with the Division of Physical & Biological Sciences. He served as Associate Dean for Computing from 2000 to 2008 and has been deeply involved in experimental particle physics, accelerator physics, and astrophysics over a 40-year career. His research spans computational challenges in high-energy physics, including data analysis techniques, detector design, and software management for major projects like the LSST camera and GLAST space telescope. Collaborations include MarkIII, MarkII, SLD, BaBar, GLAST, and LSST. Dr. Schalk's publications reflect long-term contributions to CP violation studies, charm quark experiments, and detector simulations. He has chaired the Computing in High Energy Physics conference and participated in major computing review committees. Active in SCIPP's Outreach Program, he contributes to Tesla Coil demonstrations, Balloon Fest, Maker's Faire, and educational initiatives for high school students and teachers. His work combines cutting-edge research with community engagement.

• Machine Learning
• Quantum Computing
• AI Ethics
• +۴ مورد دیگر

Giacomo Fregona is a Research Fellow in the Machine Learning section at the Department of Computer Science, University of Copenhagen. His work spans theoretical and applied domains, with affiliations to the SCIENCE AI Centre and TreeSense Centre for Remote Sensing and Deep Learning of Global Tree Resources. Research interests include Quantum Machine Learning for biomedical and molecular applications AI ethics, fairness, and sustainability Neural decoding of brain signals Generative models for cross-cultural and biological data Quantum computing hardware optimization Deep learning in medical diagnostics Article trends reflect expertise in quantum-classical hybrid systems, explainable AI, and multimodal learning, with recent publications on environmental sustainability in neural architecture search, emotion recognition, and federated learning for rare diseases. He is associated with the Machine Learning section's initiatives in computational biology, quantum informatics, and AI for climate science.