جستجوی استاد راهنمای دانشگاهی

Wolfgang Hillertمشاهده پروفایل

استاد

• Accelerator Physics
• Superconducting Accelerator Technology
• Free-Electron Lasers (FEL)
• +۴ مورد دیگر

Prof. Dr. Wolfgang Hillert is a leading physicist at the University of Hamburg , serving as the Bjørn-Wiik Professor for Accelerator Physics since 2016. Affiliated with the Institute of Experimental Physics under the Faculty of Mathematics, Informatics and Natural Sciences, he specializes in Accelerator Physics , Superconducting Accelerator Technology , and Free-Electron Lasers (FEL) . His work focuses on polarized electron beams, SRF cavity optimization, and gravitational wave detection methods. Education: Physics degree from University of Bonn (1987), Promotion in Atmospheric Physics (1992), Habilitation in Physics (2001) Leadership Roles: Head of Accelerator Physics Group (2016–present), Managing Director of Institute of Experimental Physics (2019–2021) Research Trends: His recent work spans superconducting RF cavities for gravitational wave detectors ( 2025 ), resonant slow extraction in electron boosters, and atomic layer deposition of superconducting thin films. Publications highlight advancements in beam dynamics , cryogenic systems , and terahertz generation . Teaching & Outreach: He has lectured on Accelerator Physics since 2002 and engaged in public science communication, including talks on Physics of Music (2005–2021) and teacher training programs at DESY. Labs & Collaborations: Leads the Accelerator Physics Group at DESY, collaborates on projects like XFELO and BGO-OD beamline , and contributes to international schools (CAS) and symposia.

Paul McKennaمشاهده پروفایل

استاد

• Ultra-intense laser-plasma interactions
• Laser-driven particle sources
• Laser-driven radiation sources
• +۷ مورد دیگر

Paul McKenna is a Professor in the Department of Physics, Faculty of Science, at the University of Strathclyde, where he currently serves as Deputy Associate Principal (Research & Knowledge Exchange). He previously held leadership roles as Vice Dean (Research) in the Faculty of Science (2021–2023) and Head of the Department of Physics (2018–2021). His work is central to advancing ultra-intense laser-plasma science and its applications. His research focuses on ultra-intense laser-plasma interactions , particularly the development of laser-driven particle and radiation sources , plasma optics and photonics , and high field science . His work bridges fundamental physics with practical applications in medicine, materials science, and fusion energy. He is actively involved in major international laser facilities, serving on advisory boards such as the Program Advisory Committee for the Extreme Light Infrastructure-Nuclear Physics (ELI-NP) and previously at the Central Laser Facility, Harwell. Recent publications highlight a strong trend in laser-driven proton acceleration , beam diagnostics using machine learning , plasma-based collimation , and structured light generation . His work increasingly integrates computational methods, such as Bayesian optimization and neural networks, to enhance experimental outcomes in high-energy-density physics. Fellow of the Royal Society of Edinburgh (2020) High Power Laser Science and Engineering Outstanding Contribution Award (2023) McKenna has secured significant research funding, notably from EPSRC, and leads multiple active projects including those on relativistic plasma apertures and Bayesian optimization in fusion simulations. He contributes extensively to researcher development and postgraduate research strategy. He has supervised numerous early-career researchers and PhD students, though specific names are not listed in the provided data. He is also involved in interdisciplinary efforts to foster collaborative research cultures in technological universities. He leads or participates in advanced research facilities such as the SCAPA (Scottish Centre for the Application of Plasma-based Accelerators) and contributes to the development of high-repetition-rate laser systems. His lab’s work is highly collaborative, involving partnerships across the UK and internationally, with strong ties to institutions like Queens University Belfast and national laboratories.

Zhonghua Zhengمشاهده پروفایل

استادیار

• Data Science
• Environmental Engineering
• Atmospheric Science
• +۶ مورد دیگر

Dr. Zhonghua Zheng is an Assistant Professor (tenured) in Data Science & Environmental Analytics at the Department of Earth and Environmental Sciences, The University of Manchester. He leads the Manchester Environmental Data Analytics Lab (MEDAL) and serves on editorial boards of journals like Atmospheric Chemistry and Physics . His research focuses on data-driven approaches to urban climate modeling, aerosol science, and environmental systems analysis. Education : PhD in Environmental Engineering (UIUC, 2020) MCS in Computer Science (UIUC, 2022) MS in Agricultural & Biological Engineering (UIUC, 2016) BEng in Biosystems Engineering (Zhejiang University, 2015) Research Interests : Dr. Zheng integrates data science (AI, ML) with Earth system modeling to address challenges in urban climate adaptation, air quality, and agricultural-environmental nexus. Key themes include: Urban heat stress projections using machine learning Aerosol mixing state characterization via foundation models Climate adaptation strategies for net-zero cities Agricultural emissions modeling in Southeast Asia Recent Article Trends : His 2025 publications emphasize machine learning applications in urban climate and aerosol science, including pollen fragmentation dynamics and black carbon mixing effects. Earlier work (2024) focuses on model improvements for urban surface albedo and gas-phase chemistry. Awards : 2025: Aerosol Science Career Development Grant 2024: Best Student Poster Award (AOGS) 2023: City Brain Open Research Youth Scholar Advising & Grants : Supervises 10+ PhD students (e.g., Yuan Sun, Fei Jiang) and has secured grants including a Royal Society AI + Air Quality award. Leads interdisciplinary projects with NERC, The Alan Turing Institute, and Yunqi Academy. Labs & Teams : Runs MEDAL lab collaborating with global institutions (MIT, NCAR, Columbia). Active in initiatives like UK Atmospheric Chemistry Conference and Open Data Computing Workshop.

Graeme Burtمشاهده پروفایل

استاد

• Particle Accelerator Engineering
• RF Engineering
• Terahertz Technology
• +۳ مورد دیگر

Graeme Burt is a Professor of Particle Accelerator Engineering at Lancaster University's School of Engineering, where he also serves as Associate Director. He is affiliated with the RF Engineering of Accelerators at Lancaster (REAL) group, the Cockcroft Institute, and Security Lancaster. His research spans multiple interdisciplinary areas connecting particle accelerator physics with medical applications and security technologies. Professor Burt's research interests focus on the development of novel particle accelerator technologies, with particular expertise in RF engineering for accelerators, terahertz technology applications in beam manipulation, superconducting materials for accelerator cavities, and beam physics. His work bridges fundamental accelerator research with practical applications in medical physics and security. He has made significant contributions to international accelerator projects including CompactLight, the High Luminosity LHC, and AWAKE (proton-driven plasma wakefield acceleration). His recent publications demonstrate a strong focus on terahertz-driven particle acceleration techniques, high-efficiency RF components like klystrons, and superconducting materials characterization. His research shows a clear trajectory toward compact accelerator technologies with applications in medicine and security, while maintaining strong connections to fundamental accelerator physics for high-energy physics applications. Professor Burt actively supervises postgraduate research, currently guiding 11 PhD students through their research projects. His leadership extends to major international collaborations, including contributions to the CompactLight Design Study and the AWAKE experiment at CERN. He leads the RF Engineering of Accelerators at Lancaster (REAL) group, which focuses on developing next-generation accelerator technologies. His team collaborates extensively with the Cockcroft Institute and international facilities including CERN, contributing to major global accelerator projects while developing novel approaches to accelerator design and implementation.

Sorin Mitranمشاهده پروفایل

استاد

• Computational simulation of multiscale, multiphysics systems
• Data-driven constitutive relations for hyperelastic materials
• Nonlinear mode reduction
• +۴ مورد دیگر

Sorin Mitran is a Professor in the Department of Mathematics at the University of North Carolina at Chapel Hill. His research focuses on computational simulation of multiscale and multiphysics systems, data-driven constitutive relations for hyperelastic materials, and information geometry for reduced stochastic models. PhD in Aerospace Engineering from Politehnica University Bucharest (1995) Professional background includes fellowships at University of Tokyo (1993), Karlsruhe Institute of Technology (1998-1999), and University of Washington (1999-2002) His research develops numerical tools to predict macro-scale behavior from micro-scale interactions, such as plastic deformation of metals from lattice defect dynamics, microtubule mechanics from molecular dynamics, and protein folding from atomic-level simulations. Mathematical approaches include adaptive computation, machine learning for constitutive law prediction, and information geometry for stochastic process analysis. Recent publications (2023-2018) span computational biology, multiscale fluid dynamics, and medical applications of continuum mechanics. Articles frequently explore data-driven modeling, wave propagation in biological systems, and GPU-accelerated numerical methods like Lattice Boltzmann and Lattice Fokker-Planck formulations.

David Rileyمشاهده پروفایل

استاد

• Low Temperature Plasmas
• Warm Dense Matter
• Laser-Plasma Interactions
• +۳ مورد دیگر

David Riley is a Professor at the School of Mathematics and Physics, Queen's University Belfast, and a member of the Centre for Light-Matter Interaction (CLMI). His research focuses on low temperature plasmas, warm dense matter, and laser-plasma interactions. He is currently accepting PhD students and leads projects such as Shining Light on Cold Atmospheric Plasmas and Nanorad - Ultrafast Nano-Scale Material Response to Radiation. Research Interests : Low temperature plasmas, warm dense matter, laser-plasma interactions, X-ray diagnostics, radiation sources, and high-energy density physics. Collaborations : Active in interdisciplinary projects with institutions like STFC, Queen's University Belfast, and international teams. Scientific Awards : Fellowship of the Institute of Physics (2011) He has contributed to numerous research outputs, including experimental studies on XUV radiation absorption in warm dense materials and dynamic X-ray diffraction in shocked solids. His work involves external collaborations, peer review activities, and supervision of research teams.

Jo Bovyمشاهده پروفایل

استاد

• Galactic Dynamics
• Dark Matter
• Stellar Astrophysics
• +۳ مورد دیگر

Jo Bovy is a Professor and Canada Research Chair in Galactic Astrophysics at the University of Toronto's Department of Astronomy and Astrophysics. He specializes in galactic dynamics, dark matter, and the structural evolution of the Milky Way, leveraging large-scale surveys like Gaia and APOGEE. His research focuses on using kinematic and chemical data to trace galactic formation processes and dark matter distribution. Bovy is the lead developer of the galpy software library for galactic dynamics and co-authored a forthcoming textbook Dynamics and Astrophysics of Galaxies (Princeton UP, 2026). He has held leadership roles in the APOGEE survey and its successor APOGEE-2, advancing infrared spectroscopic studies of the Milky Way's bulge and disk. His accolades include the Sloan Fellowship (2016), Vera Rubin Prize (2019), and Steacie Prize (2024). Bovy advocates for open-source scientific software, with extensive contributions to projects like astroNN and pynbody. Education: Ph.D. 2011, New York University. Research emphasizes data-driven approaches, including machine learning for stellar age estimation and probabilistic density modeling. Active in international collaborations such as Euclid and SDSS-V. Currently exploring the implications of dark matter self-interactions on stellar streams and refining measurements of Galactic fundamental parameters through acceleration-based methods. Key contributions include modeling Galactic vertical motion dynamics, analyzing GD-1 stream disruptions via N-body simulations, and developing frameworks for chemodynamical tagging of dissolved star clusters. His work bridges theoretical modeling with observational data, fostering interdisciplinary advancements in astrophysical data analysis. Awards: Price Prize (2010) Rutherford Memorial Medal (2021) CAP Herzberg Medal (2025) Grants/Advising: Leads major survey initiatives and mentors researchers in computational astrophysics. Current projects include Euclid's Early Release Observations and Gaia Data Analysis.

Ronnie Hoekstraمشاهده پروفایل

استاد

• Atomic Physics
• Molecular Physics
• Plasma Dynamics
• +۴ مورد دیگر

Ronnie Hoekstra is a Full Professor at the University of Groningen's Faculty of Science and Engineering, leading the Quantum Interactions and Structural Dynamics group within the Zernike Institute for Advanced Materials. He holds a PhD in Physics and has extensive postdoctoral experience in atomic and molecular physics, including roles at AMOLF (Netherlands), the JET fusion reactor (UK), and the University of Osnabrück (Germany). His research focuses on ion interactions, plasma dynamics, and EUV light sources for semiconductor applications. He is a founding member of the Advanced Research Center for Nanolithography (ARCNL) and serves as group leader there. Education: Studied Applied Physics at the University of Groningen, completed his PhD under Prof. Frits de Heer (AMOLF). Postdoctoral work at JET and Osnabrück University. Research Interests: Electron capture mechanisms, laser-driven plasmas, EUV nanolithography, and surface science. His work contributes to the development of next-generation semiconductor manufacturing technologies and fundamental plasma physics. Grants & Collaborations: Secured multiple EU, EURATOM, and NWO grants. Collaborates with ASML, ARCNL, and international institutions like the European Physical Society. Leads projects on plasma dynamics and ion-beam interactions. Labs/Teams: Heads the Quantum Interactions and Structural Dynamics lab at the Zernike Institute and the EUV Plasma Dynamics group at ARCNL.

Douglas Allaireمشاهده پروفایل

دانشیار

• Multidisciplinary design optimization
• Bayesian optimization
• Multifidelity methods
• +۴ مورد دیگر

Douglas Allaire is an Associate Professor and Sallie and Don Davis '61 Faculty Fellow in the J. Mike Walker ’66 Department of Mechanical Engineering at Texas A&M University, part of the College of Engineering. He leads the Computational Design Laboratory, focusing on computational methods for complex engineered systems. His research spans multidisciplinary design optimization, Bayesian optimization, machine learning, and materials design. Education: Ph.D., Aerospace Engineering, Massachusetts Institute of Technology (2009) M.S., Aerospace Engineering, Massachusetts Institute of Technology (2006) B.S., Aerospace Engineering, Massachusetts Institute of Technology (2004) Research Interests: Bayesian optimization and uncertainty quantification Materials design using machine learning Autonomous experimentation and data fusion Predictive analytics for engineering systems Recent Trends in Publications: His work emphasizes integrating Bayesian methods with materials discovery, autonomous systems, and high-fidelity modeling. Key themes include optimizing multifidelity systems, inverse microstructure design, and real-time decision frameworks. Awards: ASEM Fellow (2024) AIAA Associate Fellow (2023) ASME Young Engineer Award (2018) Advising & Grants: Advised students like Jaylen James (Ph.D. 2022) and Danial Khatamsaz. Active in securing grants for computational design and materials research. Collaborates with institutions like the American Institute of Aeronautics and Astronautics. Labs & Teams: Directs the Computational Design Laboratory, part of the Engineering Systems Design Group. Engages in interdisciplinary projects with Texas A&M’s Multidisciplinary Engineering program.

Karen Z. Hatsagortsyanمشاهده پروفایل

پژوهشگر

• Strong-Field Physics
• Quantum Electrodynamics (QED)
• Relativistic Dynamics
• +۷ مورد دیگر

Karen Z. Hatsagortsyan is a Group Leader at the Max Planck Institute for Nuclear Physics in Heidelberg, Germany. Her research focuses on the interaction of ultrastrong laser fields with matter, spanning relativistic and nonperturbative quantum electrodynamics (QED), strong-field ionization dynamics, and plasma diagnostics using polarization properties of ejected particles. She collaborates with experimental facilities like DESY , SLAC , and the European Extreme-light-infrastructure (ELI) , and has contributed to proposals such as the LUXE experiment and FACET-II for testing nonlinear QED effects. Research Interests : Relativistic ionization and sub-barrier electron dynamics Spin polarization effects in high-energy laser interactions Gamma-ray and x-ray source development via nonlinear QED Plasma diagnostics through polarization measurements Recent Publications demonstrate advancements in ultrashort time delay measurements ( Phys. Rev. Lett. 2022 ), polarization transfer in positron beam generation ( Phys. Rev. Lett. 2019 ), and attosecond-resolved plasma field analysis ( Phys. Rev. Res. 2022 ). Her work bridges theoretical predictions with experimental validation, particularly in attoclock protocols, Coulomb focusing, and laser-based collider concepts.

László Veiszمشاهده پروفایل

استاد

• Attosecond Physics
• Relativistic Plasma Physics
• Laser-Plasma Interactions
• +۳ مورد دیگر

László Veisz is a Professor at the Department of Physics and Head of the RElativistic Attosecond physics Laboratory (REAL) at Umeå University. His research focuses on ultrafast phenomena in high-intensity laser-plasma interactions, attosecond science, and relativistic nanophotonics. Key projects include nonlinear attosecond spectroscopy (2021–2024) and relativistic nanophotonics (2020–2025). Research areas encompass relativistic plasma dynamics, ultrafast laser systems, and advanced pulse characterization techniques. His group develops compact laser-driven accelerators and investigates attosecond light-pulse generation from plasma surfaces. Publications highlight breakthroughs in femtosecond X-ray generation, spatio-temporal analysis of relativistic plasmas, and dual-energy electron beam creation. Collaborations include work with Nobel laureates and contributions to the 2023 Nobel Prize-winning physics research. REAL lab innovations include novel methods for pulse compression, plasma lensing, and nanoscale acceleration. Ongoing work focuses on optimizing optical parametric amplifiers and exploring relativistic effects in nanoplasmonics.

• laser-plasma physics
• laser-driven ion acceleration
• X-ray polarimetry
• +۱ مورد دیگر

Dr. Hans-Peter Schlenvoigt is a researcher at the Helmholtz-Zentrum Dresden-Rossendorf (HZDR), working in the Department of Laser Particle Acceleration. His research focuses on experimental and theoretical aspects of high-intensity laser-matter interactions, with emphasis on advancing laser-driven particle acceleration techniques. Research Interests: Dr. Schlenvoigt's work spans laser-plasma physics, laser-driven ion acceleration, X-ray polarimetry, and strong-field quantum electrodynamics. Key themes include: Development of diagnostic methods for relativistic plasmas Optimization of laser-driven proton/ion sources Applications in radiobiology and fundamental physics Advanced laser technologies for extreme conditions Publication Trends: His recent articles (2023-2025) demonstrate a focus on laser-driven particle acceleration mechanisms, plasma diagnostics using X-ray techniques, and quantum electrodynamics in strong fields. The research integrates experimental work at major facilities like J-KAREN-P and theoretical modeling, with growing emphasis on medical applications of laser-accelerated particles. Facilities and Tools: He utilizes HZDR's DRACO-PW laser system and collaborates on projects at international facilities including the Helmholtz International Beamline for Extreme Fields (HIBEF).

Lukas Arnoldمشاهده پروفایل

استاد

• Fire Safety Engineering
• Computational Fluid Dynamics (CFD)
• Material Pyrolysis Modeling
• +۷ مورد دیگر

Lukas Arnold is a Professor and Head of the Fire Dynamics Division at Forschungszentrum Jülich GmbH, affiliated with the Institute for Advanced Simulation (IAS) and its Civil Safety Research Group (IAS-7). He holds a chair in Computational Civil Engineering at the University of Wuppertal and leads major research initiatives in fire safety science using computational methods. Research Focus: Fire Dynamics Simulation Academic Rank: Professor Key Collaborations: University of Wuppertal, DFG, BMBF His research spans fire dynamics simulation, visibility modeling in smoke environments, and flame spread prediction. He develops advanced numerical methods like CFD-based models and inverse modeling techniques for pyrolysis kinetics, smoke propagation, and material decomposition analysis. His work integrates experimental data from real-scale fires with computational tools to improve evacuation safety and risk assessment. Recent publications highlight his expertise in smoke visibility, PMMA pyrolysis, and GPU-accelerated fire simulations. He supervises PhD students in projects involving TGA experiments, multi-scale modeling, and emergency management systems. Arnold's work has been supported by third-party grants from BMBF, DFG, and State NRW, focusing on AI-driven fire modeling, high-performance computing, and disaster resilience. He organizes bi-annual summer schools on fire modeling and contributes to open-access scientific resources.

Markus Rothمشاهده پروفایل

استاد

• Laser and Plasma Physics
• Energy Loss in Plasmas
• Laser Ion Acceleration
• +۷ مورد دیگر

Prof. Markus Roth is a leading plasma physicist at the Technische Universität Darmstadt , heading the Laser and Plasma Physics Group within the Department of Physics . His research focuses on experimental investigations of laser-plasma interactions, particularly in developing novel radiation sources and advancing inertial fusion technologies. Research Interests : Energy loss mechanisms in laser-generated plasmas Laser ion acceleration (TNSA, BOA, and relativistic transparency) Laser-driven neutron sources for radiography Warm dense matter generation and diagnostics Target development for high-energy experiments Integration of laser-accelerated ions into accelerators Scientific Awards : APS Fellow (2013) Defense Physics Award of Excellence (2014) Rosen Scholar Award (2012, 2016) Collaborations : Active in international projects including FAIR, ELI-NP, and LIGHT collaboration. His group develops detectors for laser-driven neutron sources and contributes to fusion research.

• Computational Materials Science
• Molecular Dynamics
• Machine Learning
• +۲ مورد دیگر

Dr. Priya Vashishta is a Professor with joint appointments in Computer Science, Materials Science, and Physics at the University of Southern California. His research integrates computational methods across multiple scales to address fundamental challenges in materials science and nanotechnology. Research focuses on multiscale simulation frameworks combining quantum molecular dynamics, machine learning interatomic potentials, and high-performance computing. Key areas include: energy storage materials, 2D materials characterization, catalytic processes, and AI-driven materials discovery. Publication trends reveal consistent development of computational methodologies: machine learning potentials for materials simulation, neural network quantum dynamics, GPU-accelerated computing, and multiscale modeling techniques. Recent work emphasizes practical applications in energy storage, nanoscale electronics, and advanced manufacturing. Research group activities include development of open-source simulation packages (PND, Allegro) and leadership in the MAGICS computational materials center. Contributions span fundamental theoretical frameworks to applied materials engineering.