جستجوی استاد راهنمای دانشگاهی

Rob Timmermansمشاهده پروفایل

استاد

• Theoretical Particle Physics
• Quantum Mechanics
• Quantum Field Theory
• +۳ مورد دیگر

Prof. Rob Timmermans is a Professor of Theoretical Physics and Vice-Dean for Education at the University of Groningen (UG). He is affiliated with the Faculty of Science and Engineering and the Precision Frontier — Van Swinderen Institute for Particle Physics and Gravity. His research focuses on theoretical particle physics, quantum mechanics, and precision measurements, particularly in electric dipole moment (EDM) searches using molecules like BaF. His work includes developing methods for molecular beam manipulation, phase-space analysis, and symmetry violation studies. He has contributed to collaborations such as NL-eEDM, advancing techniques for EDM detection and precision physics. Prof. Timmermans has received nominations for teaching awards, reflecting his commitment to education. Research highlights include studies on nucleon decay, antinucleon-nucleon interactions, and chiral effective field theory. His lab activities involve collaborations on laser-cooled molecules and trapping techniques. Prof. Timmermans’ articles often address fundamental physics questions, such as Lorentz violation in beta decay and parity violation in molecular systems. Awards: Nominated for Faculty Teaching Award 2014, Teacher of the Year 2014-15. Grants/Advising: Leads projects on EDM searches and particle physics, with active roles in international collaborations. Labs/Teams: Van Swinderen Institute, Precision Frontier group.

Harvey B. Meyerمشاهده پروفایل

استاد

• Lattice Field Theory
• QCD Phase Diagram
• Thermal Field Theory
• +۴ مورد دیگر

Harvey B. Meyer is a Professor of Theoretical Physics at Johannes Gutenberg University Mainz since 2014. Previously, he held positions including Junior Professor at Mainz (2010), Fellow at CERN's Theoretical Physics Division (2009), Research Scientist at MIT (2008), and postdoctoral roles at MIT (2006-2008) and DESY (2004-2006). He earned his D.Phil. in Theoretical Physics from the University of Oxford (2001-2004) and a Diplome de Physique from the University of Lausanne (1996-2001). His research focuses on lattice field theory, QCD phase diagrams, thermal field theory, and hadron structure. He leads the NEPhEuQCD collaboration and has received the ERC Consolidator Grant (2018) for the SIMDAMA project. Meyer teaches courses in theoretical physics and mathematical methods at Mainz, including 'Theoretische Physik 4' and 'Mathematische Rechenmethoden'. His work integrates advanced computational techniques to address fundamental questions in particle and nuclear physics. Key achievements include pioneering studies on the muon's anomalous magnetic moment, hadronic light-by-light scattering, and quark-gluon plasma dynamics. Collaborations include MIT, CERN, and institutions globally through lattice QCD projects. His lab and team contributions are central to the PRISMA+ Cluster of Excellence at Mainz.

Andrew Childsمشاهده پروفایل

استاد

• Quantum Algorithms
• Quantum Information Processing
• Quantum Simulation
• +۲ مورد دیگر

Andrew Childs is a Professor at the University of Maryland, affiliated with the Department of Computer Science and the Institute for Advanced Computer Studies (UMIACS). He serves as Director of the NSF Quantum Leap Challenge Institute for Robust Quantum Simulation (RQS) and is a Fellow at the Joint Center for Quantum Information and Computer Science (QuICS). His research focuses on quantum algorithms for simulating physical systems, algebraic problems, and quantum walk protocols, with applications in quantum computing and computational complexity. University of Maryland Institute for Advanced Computer Studies (UMIACS) Joint Center for Quantum Information and Computer Science (QuICS) NSF Quantum Leap Challenge Institute for Robust Quantum Simulation Childs' research spans quantum simulation, quantum Fourier transform, phase estimation, and Hamiltonian dynamics. He has developed techniques to reduce quantum computational resources for simulating quantum systems and explored limitations of quantum computers through hidden subgroup problems and non-unitary dynamics. His publications cover diverse areas including quantum walk optimization, Hamiltonian simulation methods, and applications to cryptography and condensed matter physics. Recent works address spatial search algorithms, product formulas for commutators, and quantum routing protocols. As an educator, Childs has taught courses on quantum algorithms and information processing at both the University of Maryland and University of Waterloo, with lecture notes and materials spanning multiple years. Contact: amchilds@umd.edu | Office: ATL 3359 | Affiliated with University of Maryland's quantum research institutes.

Todd Adamsمشاهده پروفایل

استاد

• Particle Physics
• High Energy Physics
• Neutrino Physics
• +۳ مورد دیگر

Todd Adams is a Professor in the Department of Physics at Florida State University . He leads research in particle physics (high energy experiment) with the CMS Experiment at CERN and previously the D0 Experiment at Fermilab , focusing on searches for new physics in underexplored datasets through long-lived particles , machine learning techniques , and charged particle detection . Education : PhD in Experimental Particle Physics from University of Notre Dame (1997); Postdoctoral researcher at Kansas State University (1997-2001) His research includes electromagnetic calorimeter studies for CMS, calorimeter upgrade investigations , and Monte Carlo simulation leadership for D0. He pioneered searches for neutral long-lived particles and top quark decay anomalies , co-authored key publications in Physical Review Letters and Journal of High Energy Physics , and served as Faculty Senate President and Board of Trustees member at FSU. Notable affiliations include: Collaborations : CMS, D0, NuTeV, NuSOnG Laboratories : CERN (Geneva), Fermilab (Chicago), Florida State High Energy Physics Group Key contributions: Co-convenor of D0 Monte Carlo Simulations and New Physics Signatures groups Expert in heavy quark production , dimuon analysis , and neutral current studies Publications on Higgs boson discovery implications, supersymmetry , and anomalous gauge couplings Scientific Awards : Fellow, American Association for the Advancement of Science Multiple Fermilab Result of the Week highlights (2006, 2008, 2013) Contributor to CMS Thesis Award Committee He advises graduate students in experimental particle physics and contributes to detector technology development, particularly in timing studies , calibration , and trigger systems . His research program will continue through the LHC's 2035 operations with ongoing CMS data analysis.

• Biomedical Data Privacy
• Genomics
• Machine Learning
• +۳ مورد دیگر

Hyunghoon Cho is an Assistant Professor at Yale School of Medicine in the Department of Biomedical Informatics & Data Science, with a secondary appointment in the Department of Computer Science. He received his PhD in Electrical Engineering and Computer Science from MIT (2019) and MS/BS in Computer Science from Stanford University (2013). His research focuses on computational challenges in biomedical data privacy, single-cell genomics, and network biology. Assistant Professor (Primary): Biomedical Informatics & Data Science Assistant Professor (Secondary): Computer Science Appointments: Yale School of Medicine | Broad Institute (Schmidt Fellow) Research Themes: Privacy-Enhancing Technologies for genomic and health data Scalable AI/ML tools for omics data analysis Structured biological modeling for system-level discovery His work includes secure GWAS, transcriptomic privacy assessment, and sfkit - a federated genomic analysis toolkit. He received the NIH Director's Early Independence Award and leads NSF-funded projects on confidential genome analytics. Awards: NIH Director's Early Independence Award Lab Members: Haris Smajlović (Postdoc), Vincent Angelo (CBB MS), Denis Loginov (Senior Software Engineer), Lucy Zheng (CBB PhD)

Teruki Kamonمشاهده پروفایل

استاد

• Dark Matter
• Supersymmetry
• Particle Physics
• +۲ مورد دیگر

Teruki Kamon is a Professor at Texas A&M University affiliated with the Mitchell Institute for Fundamental Physics & Astronomy. As an active member of the CDF and CMS collaborations, he conducts experimental particle physics research at hadron colliders with focus on dark matter phenomenology. His research centers on testing particle physics models for cold dark matter, with Supersymmetry (SUSY) as a leading candidate. He pioneered SUSY searches in final states involving electrons, muons, and third-generation particles like tau leptons, specializing in: Compressed mass spectrum signatures Vector boson fusion topologies Soft tau lepton analyses Missing transverse momentum techniques Recent publications (2017-2020) demonstrate consistent leadership in LHC-based searches for supersymmetry and new physics, including unique contributions to CMS detector upgrades. His group dominates research on compressed-mass SUSY in vector boson fusion processes. No information regarding awards, student advising, or grant funding was provided in available sources.

André Rubbiaمشاهده پروفایل

استاد

• Neutrino Physics
• Astro-Particle Physics
• Dark Matter Detection
• +۳ مورد دیگر

Prof. Dr. André Rubbia is a Full Professor of Experimental Physics at ETH Zurich's Department of Physics, holding this position since December 2003 after serving as Associate Professor from 1998. His research spans neutrino physics, astro-particle physics, and dark matter detection through major international collaborations including CERN, Gran Sasso National Laboratory, and Fermilab. He currently serves as Co-Spokesperson for the billion-dollar DUNE neutrino project at Fermilab, managing over 900 scientists. His educational background includes: Diploma in Physics from the University of Geneva (1990), with thesis work on the L3 experiment at CERN's LEP accelerator Ph.D. in Physics from MIT (1993) under Nobel Laureate S.C.C. Ting, focusing on high-energy electron-positron collisions Rubbia's research centers on fundamental particle interactions, particularly neutrino oscillations and physics beyond the Standard Model. He pioneered liquid Argon Time Projection Chamber (LAr TPC) technology and dual-phase detection systems, enabling breakthroughs in neutrino mass measurements and dark matter searches. His work spans underground laboratories (Gran Sasso, Canfranc), the LHC's CMS detector, and neutrino beam experiments like T2K. Recent explorations include antimatter gravity tests, electron-positron bound states, and dark hidden sector searches. His 2025 publications reveal intense focus on neutrino oscillation parameter precision (T2K, Hyper-Kamiokande), FASER's LHC neutrino program, and DarkSide-20k dark matter detector development. Key themes include cross-section measurements, advanced detector technologies (SiPMs, emulsion tracking), and statistical methods for oscillation analysis, reflecting integration of theoretical modeling with cutting-edge instrumentation. Scientific recognition includes: Breakthrough Prize for Fundamental Physics (2016) awarded to the international team for discovering matter-anti-matter asymmetry in neutrino oscillations APS Viewpoint selection for editing the paper announcing first electron neutrino appearance at accelerators Rubbia has supervised over fifty PhD and Master's theses while securing substantial research funding as Principal Investigator for 20+ Swiss National Science Foundation projects and Coordinator of two EU FP7 Design Studies. His DUNE leadership involves complex international grant management across 30+ countries. He leads ETH Zurich's experimental particle physics group across multiple facilities: the ICARUS neutrino detector at Gran Sasso, CMS at CERN, DUNE at Fermilab, and DarkSide-20k for direct dark matter detection. His team developed the first underground ton-scale liquid argon detector and maintains collaborations with Japanese (Super-Kamiokande) and American (Fermilab) institutions.

Joey W Hustonمشاهده پروفایل

استاد

• High Energy Physics
• Quantum Chromodynamics (QCD)
• Particle Phenomenology
• +۷ مورد دیگر

Joey W Huston is a Professor at the Department of Physics & Astronomy, Michigan State University, and a Visiting Professor at the Institute for Particle Physics Phenomenology, Durham University. He has over 600 publications with >30,000 citations, including 9 papers with >500 cites each. Positions: MSU Research Foundation Professor (1998-present), Visiting Professor at Durham (2003-present) Education: Ph.D. (1983) and B.S. (1976) from University of Rochester and Carnegie-Mellon University His research focuses on Quantum Chromodynamics (QCD) , Parton Distribution Functions , and Jet Physics . He contributes to Higgs Boson studies, Supersymmetry , and Dark Matter Searches via the ATLAS experiment at the LHC. Recent articles (2025) highlight advancements in Jet Flavour Tagging , Top-Quark Mass Measurement , and Exotic Higgs Decays , alongside computational innovations like Neural Simulation-Based Inference and Cloud Resource Optimization . Scientific Awards: APS Fellow (2025), Distinguished Visitor by Scottish Universities Physics Alliance (SUPA) Prof. Huston has co-spoken for the CTEQ collaboration and organized workshops at Les Houches, Kavli Institute, and Fermilab. He authored the Handbook on Perturbative QCD and is writing a book on QCD at the LHC for Oxford University Press.

Alexandra Gadeمشاهده پروفایل

استاد

• Nuclear Physics
• Exotic Nuclei
• Nuclear Structure
• +۵ مورد دیگر

Alexandra Gade is a University Distinguished Professor at the Department of Physics and Astronomy in the College of Natural Science , Michigan State University (MSU). She serves as the FRIB Scientific Director and has held leadership roles at both the National Superconducting Cyclotron Laboratory (NSCL) and FRIB. Her research focuses on the structure of exotic nuclei using radioactive isotope beams , with expertise in Coulomb excitation and nucleon knockout reactions . Education: Ph.D. in Physics (Dr. rer. nat.), University of Köln (2002) Diploma thesis, University of Köln (1998) Vordiplom, University of Köln (1995) Her nuclear structure research investigates how neutron-proton asymmetry alters nuclear properties like deformation, excitation patterns, and shell closures. She employs advanced experimental techniques at NSCL/FRIB, including the S800 spectrograph and GRETINA/SeGA gamma-ray detectors , to study exotic nuclei across the nuclear chart. Key projects include proton/neutron removal reactions and intermediate-energy Coulomb excitation , providing insights into nuclear deformation , collective modes , and single-particle orbit modifications . Recent scientific contributions focus on high-profile FRIB experiments , triaxial nuclear shapes , and shell evolution near drip lines . Her work bridges experimental observations with nuclear theory , particularly in refining shell model calculations and reaction models for exotic systems. Scientific Awards: 2023-24 Research Leadership Award (MSU) 2020 AAAS Fellow 2018 William J. Beal Outstanding Faculty Award (MSU) 2017 NatSci Outstanding Faculty Award (MSU) 2015 Zdzislaw Szymanski Prize 2014 GENCO Membership Award (GSI) 2013 APS Fellow 2010 Thomas H. Osgood Excellence in Teaching Award (MSU) 2008 Alfred P. Sloan Fellow 2008 DOE Outstanding Junior Investigator Her research group has trained numerous PhD students and postdoctoral researchers , many of whom hold academic or national laboratory positions. Collaborations include nuclear theorists , instrumentation experts , and international facilities like CERN, Argonne, and Lawrence Livermore National Laboratory.

Gian Antonio Sustoمشاهده پروفایل

دانشیار

• Machine Learning
• Deep Learning
• Predictive Maintenance
• +۶ مورد دیگر

Gian Antonio Susto is an Associate Professor at the Department of Information Engineering , University of Padova . With a Ph.D. in Information Technology and post-doctoral experience at National University of Ireland, Maynooth, he leads research in Machine Learning , Semiconductor Manufacturing , and Industrial IoT . His work bridges Anomaly Detection , Continual Learning , and Algorithmic Fairness with applications in Hydroelectric Power Plants , Particle Accelerators , and Smart Mobility . B.Sc. and M.Sc. in Controls Engineering, University of Padova (cum laude) Ph.D. in Information Technology, University of Padova (2013) Post-Doc at National University of Ireland, Maynooth (2012-2013) Assistant Professor at University of Padova (2013-2021) His research focuses on Explainable AI , Virtual Metrology , and Deep Learning for manufacturing and infrastructure monitoring. Recent projects include the AIMS5.0 (AI for Manufacturing Sustainability) and MICS (Circular Economy in Italy) initiatives. His publications span Engineering Applications of Artificial Intelligence , IEEE Transactions , and Information Processing & Management , with 15+ recent papers on topics like Fault Diagnosis , Continual Learning , and Fair Ranking . Key scientific awards include: IEEE CCTA Best Student Paper Award (2021) IP&M 2020 Ph.D Paper Award Best Industry Paper Award, European Workshop on Advanced Control and Diagnosis (ACD 2019) He has supervised Ph.D. students on projects involving Particle Accelerators , Plant Behavior Modeling , and Explainable AI , with alumni now at institutions like Max Planck Institute , IBM , and Scripps Research . Current teaching includes Reinforcement Learning and Explainable Machine Learning at graduate and Ph.D. levels.

Michael Klasenمشاهده پروفایل

استاد

• Particle Physics
• Quantum Chromodynamics
• Physics beyond the Standard Model
• +۳ مورد دیگر

Prof. Dr. Michael Klasen is a leading theoretical physicist at the Institute of Theoretical Physics at the University of Münster, where he heads his eponymous research group. His work bridges nuclear and particle physics, with significant contributions to quantum chromodynamics and physics beyond the Standard Model. His research focuses on Particle Physics , Quantum Chromodynamics , and Physics beyond the Standard Model , with particular emphasis on understanding the quark-gluon structure of atomic nuclei and dark matter phenomena. His innovative approach connects microscopic quark-gluon dynamics with nuclear binding phenomena, creating a crucial bridge between nuclear and particle physics. Prof. Klasen's recent work analyzing nucleon binding at the quark-gluon level was recognized as a "Breakthrough of the Year 2024" by Physics World. His research group's publication in Physical Review Letters demonstrated how quarks and gluons behave differently in nucleon pairs than in free nucleons, fundamentally advancing our understanding of nuclear binding. Breakthrough of the Year 2024 from Physics World Leadership of Research Training Group 2149 "Strong and weak interactions - from hadrons to dark matter" Supervision of award-winning doctoral research including the Infineon Dissertation Prize 2025 Prof. Klasen has successfully mentored numerous PhD students, with 20 of his group's graduates continuing their academic careers at prestigious institutions including CERN and Stanford University. His research has been supported by major funding bodies including the German Research Foundation (DFG), the Helmholtz Alliance for Astroparticle Physics, and BMBF collaborative research programs. The Klasen working group maintains active collaborations with international research networks including CTEQ, DM@NLO, and RESUMMINO.

• Tectonics
• Lithosphere Deformation
• Structural Geology
• +۳ مورد دیگر

Dr. Ernst Willingshofer is an Associate Professor of Tectonics in the Department of Earth Sciences at Utrecht University's Faculty of Geosciences. His research focuses on the coupling of deep crustal and upper mantle processes with surface deformation, particularly in collision zones and rift systems. He employs field studies and physical analogue modelling to investigate lithospheric rheology, strain localization, and tectonic evolution. Research Interests: Willingshofer's work spans tectonics, lithosphere deformation, and structural geology. Key themes include the influence of rheological stratification on strain partitioning, analogue modelling of orogenic systems, and dynamics of basins and orogens. His research has applications in understanding Alpine, Mediterranean, and global tectonic processes. Articles Trend: Recent publications (2021–2024) emphasize analogue modelling innovations, strain partitioning mechanisms, and tectonic evolution of collision zones. Subduction initiation, passive margin dynamics, and intracontinental deformation are recurring themes, with strong focus on Mediterranean and Alpine geology. Teaching & Advising: Coordinates BSc courses ( Deformation and Metamorphism of the Crust , Pyrenean Fieldwork ) and MSc courses ( Modelling Crust and Lithosphere Deformation , Dynamics of Basins and Orogens ). Supervises MSc, BSc, and guided research projects. Laboratory: Leads the Earth Simulation Lab, specializing in analogue modelling of tectonic processes.

Simon Makمشاهده پروفایل

استادیار

• Statistical Modeling
• Bayesian Statistics
• Gaussian Process
• +۵ مورد دیگر

Simon Mak is an Assistant Professor of Statistical Science at Duke University and a Faculty Network Member of the Duke Institute for Brain Sciences. His educational background includes: Ph.D. in Statistics, Georgia Institute of Technology (2018) M.S. in Statistics, Georgia Institute of Technology (2018) B.S. in Statistics, Simon Fraser University (2013) Dr. Mak's research focuses on advanced statistical methodologies for complex scientific problems. His expertise spans statistical modeling , Bayesian inference , Gaussian process emulation , and uncertainty quantification . He applies these methods to nuclear physics (heavy-ion collisions), engineering (engine control systems), and music information retrieval, emphasizing scalability and interpretability in scientific computing. Analysis of his 2023-2025 publications reveals dominant trends in scalable Gaussian process methods for massive datasets and multi-fidelity simulations, particularly applied to high-energy physics and engineering systems. He has pioneered innovations in Bayesian optimization for expensive simulators and developed novel frameworks for online change-point detection in streaming data, demonstrating exceptional cross-disciplinary impact. Dr. Mak leads multiple significant research initiatives: Collaborative Research: Cost-Efficient and Confident Sampling for Modern Scientific Discovery (2023-2026) Science-Integrated Predictive modeLing (SCINPL) for scalable scientific computing (2022-2025) The X-SCAPE collaboration for statistically advanced nuclear collision modeling (2020-2025) These projects fund his development of statistical frameworks for scientific discovery in complex systems. He actively contributes to the JETSCAPE collaboration, developing multi-stage frameworks for studying jet quenching in heavy-ion collisions, and applies statistical methods through the Duke Institute for Brain Sciences to advance neuroscience research.

• Particle interactions
• Kinetic theory of aggregation
• Nanotechnology
• +۵ مورد دیگر

Lande Liu is a Senior Lecturer in Chemical Engineering at the University of Huddersfield's School of Applied Sciences. Previously, he held a Lectureship at the University of Manchester (2010-2014), and earlier worked as an industrial consultant and research fellow at Leeds and Sheffield Universities. His academic journey began with a MEng in Chemical Engineering and a PhD in kinetic theory of aggregation from Sheffield (2004), preceded by a visiting PhD at Twente University (2002). Education: PhD in Chemical Engineering (University of Sheffield, 2004) Visiting PhD (Twente University, 2002) MEng in Chemical Engineering (Tsinghua University, 1999) BSc in Applied Mathematics (Tsinghua University, 1996) Liu's research focuses on multi-scale particle interactions (molecular to granular) using kinetic theory of aggregation, with applications spanning nanotechnology, pharmaceutical engineering, and sustainable chemical processes. His work aligns with UN Sustainable Development Goals for environmental protection and industrial innovation. Recent publications examine particle deposition in turbulent flows, enhanced heat exchanger designs, and nanofluid stabilization techniques. He teaches core chemical engineering topics including transport phenomena, unit operations, and process design. Active in collaborative research, Liu has partnered with institutions across Europe on projects involving spectroscopy, ultrasonics, and dynamic modeling. His technical expertise includes particle size analysis, tomography, and computational simulation of complex systems.

Michael Barnesمشاهده پروفایل

استاد

• Plasma Physics
• Magnetic Confinement Fusion
• Astrophysical Accretion Disks
• +۳ مورد دیگر

Michael Barnes is a Tutorial Fellow in Physics and Professor of Physics at the University of Oxford. He contributes to the Department of Physics through teaching and research, with a focus on plasma behavior in magnetic fields. His work has critical applications in sustainable energy production via fusion and astrophysical systems. Professor Barnes teaches Mathematical Methods for Physicists to undergraduate students at University College and lectures on Complex Numbers and Ordinary Differential Equations . His pedagogical emphasis is on developing mathematical fluency for advanced physics topics. His research explores plasma turbulence suppression by sheared flows, particularly in magnetic confinement fusion. Key projects include the development of the TRINITY multiscale gyrokinetic transport code and studies on tokamak transport barriers. Recent publications highlight advancements in gyrokinetic simulations, collision operators, and beam diagnostics for fusion applications. Notable trends in his publications include multiscale modeling of plasma turbulence, zonal flow dynamics, and experimental comparisons for fusion devices like JET, MAST, and ITER. Subfields span from fundamental kinetic theory to applied fusion engineering.