Taina Kurki-Suonio is a Senior University Lecturer in the Department of Applied Physics at Aalto University. Her research focuses on plasma physics and nuclear fusion, particularly in tokamak and stellarator technologies. She contributes to advanced studies of beam ion dynamics, charge exchange processes, and plasma confinement optimization. Her work spans experimental validation and predictive simulations, with publications in Plasma Physics and Controlled Fusion , Nuclear Fusion , and Nature Communications . Current projects address disruption prediction strategies, magnetic island formation, and long-pulse stellarator operation. Research Keywords Plasma Physics Nuclear Fusion Tokamak Reactors Energetic Particle Dynamics Charge-Exchange Processes
Vladimir Bashkirov is an Associate Research Professor at Loma Linda University's School of Medicine, affiliated with the Biomedical Engineering Science Division. His career spans high-energy physics and medical applications, with leadership roles in proton CT development and beam monitoring systems. Education: PhD, Loma Linda University (1999) Certificate, Moscow Institute of Physics & Technology (1997) MS, Moscow Institute of Physics & Technology (1982) BS, Moscow Institute of Physics & Technology (1979) Research Interests: Radiation detector design for medical imaging Monte Carlo simulations in proton therapy Proton CT and FLASH radiotherapy Nanodosimetry for radiation biology Neutron capture therapy Hadron therapy accelerators Publications & Trends: His 15 most recent articles focus on proton CT scanner optimization, FLASH beam monitoring, Monte Carlo simulations, and helium ion imaging. Topics include noise reduction, stopping power accuracy, and detector design, with collaborations at institutions like Stanford University and Lawrence Livermore National Laboratory. Grants & Projects: NIH/NCI SBIR grants for plasma panel detectors NIH R01 grant for clinical proton CT translation DOE funding for FLASH X-ray radiography NASA collaborations on proton space radiation European Commission research on neutron cancer risk Professional Service: Alternate Representative for School of Medicine at University Faculty Council (2023-2025) Program Committee, BIOMESIP 2021 Reviewer for journals including Physics in Medicine and Biology and IEEE Transactions on Nuclear Science
Prof. Dr.-Ing. Richard Membarth is a faculty member at Technische Hochschule Ingolstadt , where he holds the professorship for System-on-a-Chip and AI for Edge Computing. He is also affiliated with the German Research Center for Artificial Intelligence (DFKI) as a Senior Researcher and Team Leader for Compiler Technologies and High-Performance Computing, and with the Saarland University Computer Graphics Lab . His research spans GPU computing, domain-specific languages, and compilers. PhD from Friedrich-Alexander University Erlangen-Nürnberg (2013) Postgraduate diploma from Auckland University of Technology His research focuses on: Parallel computer architectures and programming models Automatic code generation for embedded to HPC systems Image processing, computer graphics, and deep learning applications Domain-specific languages for performance-portable code Recent publications highlight compiler design, GPU acceleration, and parallel algorithms. Scientific awards include the HiPEAC Paper Award (2018) and GPCE Best Paper Award (2015) . Professional roles include organizing High-Performance Graphics conferences as Treasurer (2024-2025) and Papers Chair (2020).
Wilson Q. Wang is a Professor at Lakehead University's Department of Mechanical and Mechatronics Engineering, where he serves as Lakehead Research Chair, Director of Mechatronics Engineering, and PhD Graduate Program Coordinator. He founded and directs both the Intelligent Mechatronics Systems Lab and Electric Vehicle Lab, supported by CFI/ORF grants. With cross-appointment in Electrical and Computer Engineering, he maintains an adjunct professorship at the University of Waterloo. PhD, Mechatronics Engineering, University of Waterloo MEng, Industrial Engineering, University of Toronto MSc, Mechanical Engineering, Northeastern University, China BASc, Electro-mechanical Engineering, SIT, China Dr. Wang's research focuses on the intersection of artificial intelligence and mechanical systems, specializing in signal processing techniques for condition monitoring, fault diagnosis, and prognostics. His work develops intelligent control systems that enhance machinery reliability through early fault detection and predictive maintenance strategies. The research spans both theoretical development of novel algorithms and practical implementation in industrial settings, with particular emphasis on mechatronic systems and electric vehicles. His publication record demonstrates consistent contributions to high-impact journals including IEEE Transactions on Fuzzy Systems, IEEE Transactions on Instrumentation and Measurement, and IEEE/ASME Transactions on Mechatronics. The work shows an evolving trajectory from fundamental signal processing techniques toward increasingly sophisticated AI-driven prognostic systems, with growing emphasis on real-time implementation and industrial applications. CFI John Evens Leaders Grant Award (2022) Excellent Teaching Award, Lakehead University (2018) Distinguished Researcher Award, Lakehead University (2017) NSERC DG Accelerator Grant Award (2016) Innovation Award, Lakehead University (2015) Dr. Wang has supervised an extensive research team including 9 postdoctoral fellows, 15 PhD students, and nearly 40 MSc students. His research has been supported by multiple NSERC grants (DG, AG, CRD, DAS, EG, IG), CFI (JELF, NOF), ORF, and industry partners including Bombardier Transportation, Siemens Mahon Electric, and Techform Group. He serves as Associate Editor for several prestigious journals including IEEE/ASME Transactions on Mechatronics and IEEE Transactions on Instrumentation and Measurement. He directs two specialized research facilities: the Lab for Intelligent Mechatronic Systems (LIMS) and the Lab for Electric Vehicles (LEV), which support his team's work on smart sensors, fault diagnosis systems, and intelligent control applications across various mechanical and electromechanical systems.
Jicong (Jack) Shi is an Associate Professor and Director of the Engineering Physics Program at the University of Kansas. He has held this position since 2002, after serving as an Assistant Professor from 1997 to 2002. Education: PhD in Physics, University of Houston (1991) MS in Physics, University of Science and Technology of China (1984) BS in Physics, University of Science and Technology of China (1982) Shi's research focuses on beam dynamics, accelerator physics, nonlinear dynamics, and computational physics. His work involves nonlinear analysis to understand beam particle motion in particle accelerators, supported by the US Department of Energy, and he collaborates with major international facilities like Fermilab, CERN, and DESY. His publications span interdisciplinary topics, including impurity nanorod arrays in superconducting films, carbon nanotube bolometers, and beam-beam effects in accelerators. These articles highlight his expertise in computational modeling and nonlinear dynamics across physics and applied domains. Scientific Awards: SSC National Fellow (1992) Shi's laboratory actively engages in research collaborations with leading accelerator laboratories worldwide. His work addresses critical challenges in preserving beam stability and mitigating long-range beam-beam effects in facilities like RHIC, LHC, and eRHIC.
Francesco Massimo is a researcher at the Laboratory of Gas and Plasma Physics (LPGP - Université Paris-Saclay/CNRS) since 2022. His work focuses on electron acceleration in plasma waves generated by intense laser pulses, with a specialization in the Smilei open-source simulation code since 2017. Research Interests : Laser-plasma acceleration mechanisms Numerical modeling of plasma physics High-performance computing for scientific applications Open science practices and reproducibility in computational research Scientific Contributions : Key developer of Smilei, an open-source code now widely used in particle acceleration, astrophysics, and quantum electrodynamics Advocacy for open science principles, emphasizing documentation and reproducibility in research software Awards : 2023 Open Science Prize for Smilei, recognizing its impact in the 'Science and Technique' category Collaborative Impact : The Smilei code has enabled over 190 peer-reviewed articles (as of June 2024) and continues to expand into new research domains through community contributions.
Jim E. Morel is a Professor and the Nancy & Ron Stinson Chair in Nuclear Engineering at Texas A&M University. He serves as Director of the Center for Large-Scale Scientific Simulations (CLASS) and holds a joint faculty appointment at Los Alamos National Laboratory. Educational Background: Ph.D., Nuclear Engineering, University of New Mexico (1979) M.S., Nuclear Engineering, Louisiana State University (1974) B.S., Mathematics, Louisiana State University (1972) His research focuses on Discretization and Multilevel Solution Techniques for Deterministic Particle Transport , Hybrid Deterministic/Monte Carlo Methods , and Radiation-Hydrodynamics . He has developed advanced methods for neutron transport, radiation diffusion, and multiphysics simulations. Recent publications explore topics in deterministic transport discretization, Monte Carlo integration, and radiation-hydrodynamics, with applications to reactor physics, radiative shocks, and inverse radiation problems. His work emphasizes numerical accuracy, parallel computing, and physics-based reduced-order modeling. Scientific Awards: Nancy & Ron Stinson Professorship in Nuclear Engineering For contact, email morel@tamu.edu or call 979-845-6072 at his office (AIEN M306).
Dr. Tobias Rapp is a researcher at the Computer Graphics Group of the Karlsruhe Institute of Technology (KIT). Based in Karlsruhe, Germany, he focuses on computer graphics, data visualization, and GPU-accelerated computation of complex datasets like fluid dynamics and SPH simulations. Research Interests: Data visualization, GPU computing, FTLE analysis, and physically-based rendering. Teaching: Supervises visualization exercises, programming labs, and GPGPU courses (2016–2019). Labs & Teams: Active member of the KIT Computer Graphics Group.
Dennis Soldin is an Assistant Professor in the Department of Physics & Astronomy at the University of Utah, where he has been appointed since December 2023. His research focuses on cosmic rays and neutrino physics at the intersection of astroparticle and elementary particle physics. Soldin utilizes data from major international collaborations including the IceCube Neutrino Observatory, the Forward Physics Facility at CERN, and the Trinity Neutrino Observatory. Dr. rer. nat. (PhD) from University of Wuppertal, Germany (2011-2017) Diploma (MSc) from University of Wuppertal, Germany (2005-2011) Soldin's research spans cosmic ray physics, neutrino astronomy, and high-energy particle physics. He specializes in analyzing data from the IceCube Neutrino Observatory to understand high-energy particle processes in extensive air showers initiated when cosmic rays enter Earth's atmosphere. His work is crucial for revealing the origin and nature of high-energy cosmic rays and has profound implications for multi-messenger astrophysics. Soldin has made significant contributions to cosmic ray anisotropy studies, neutrino oscillation measurements, and the search for sterile neutrinos. He is also involved in developing next-generation neutrino observatories, including the Forward Physics Facility at CERN and the Trinity Collaboration's new neutrino observatory at Frisco Peak in southern Utah. Soldin's publications demonstrate a consistent focus on advancing our understanding of cosmic rays and neutrinos through innovative analysis techniques. His work often involves developing novel reconstruction methods using machine learning, improving sensitivity to rare events, and exploring connections between different cosmic messengers. Recent papers show increasing involvement in next-generation experimental facilities while maintaining strong contributions to the IceCube collaboration's scientific output. North America Top Cited Paper Award 2024 from IOP Publishing 1st Prize Most Inspiring Talk 2022 from Helmholtz Association Bruno Rossi Prize 2021 from American Astronomical Society As an educator, Soldin teaches courses including "Intro To Particle Physics" and "The Universe," and supervises both Master's and Ph.D. research students. His teaching activities demonstrate his commitment to training the next generation of physicists. Soldin is actively involved in outreach activities, including the Particle Physics Camp for West High School students, Teachers Outreach Events at the University of Utah, and the IceCube Masterclass. Soldin is a key member of several major research collaborations. He serves on the IceCube Collaboration Board and has previously chaired the Cosmic Ray Working Group (2018-2023). Since 2021, he has been involved in planning the Forward Physics Facility at CERN, serving on the Coordination Panel and as convener for the working group on light hadron production. In 2024, he joined the Trinity Collaboration to build a new neutrino observatory at Frisco Peak in southern Utah. His work bridges experimental particle physics with cosmic-ray astrophysics, positioning him at the forefront of multi-messenger astronomy research.
Dr. Yue Hao is a Professor at the National Superconducting Cyclotron Laboratory (NSCL) and the Department of Physics & Astronomy at Michigan State University. He joined FRIB in late 2016 with a joint appointment and has previously worked as a physicist at Brookhaven National Laboratory and an adjunct professor at Stony Brook University. 2008: Ph.D. in Accelerator Physics, Indiana University 2003: B.S. in Physics, University of Science and Technology of China Hao's research focuses on beam dynamics effects in accelerators, including: Coherent synchrotron radiation compensation Energy recovery linac (ERL) design Beam-beam interactions in colliders Nonlinear lattice optimization Machine learning applications in accelerators Crab cavity implementation for flat beam collisions His recent work emphasizes computational methods for beam dynamics simulation, with applications to the Electron-Ion Collider (EIC) and FRIB projects. Key trends include auto-differentiation frameworks, entropy-based regularization techniques, and advanced beam-beam modeling. Professor Hao teaches courses in accelerator systems and honors research seminars. His work involves high-performance computing resources and numerical methods for nonlinear dynamics analysis, including the Square Matrix Method and time-delayed Koopman networks.
Kyoko Makino is a Fixed Term Professor in the Department of Physics & Astronomy at Michigan State University. Her research focuses on accelerator physics, particle physics, and computational methods with applications to precision measurements in muon experiments. She is actively involved in beam diagnostics, magnetic field analysis, and high-order transfer map simulations for storage rings at Fermilab. Research Interests: Accelerator Physics Muon g-2 Experiment Beam Dynamics Nonlinear Dynamics Computational Methods (Taylor Models, COSY INFINITY) Electric Dipole Moment Studies Recent Article Trends: Her recent work centers on precision measurements of the muon anomalous magnetic moment, beam diagnostics for Fermilab's Muon g-2 Storage Ring, and computational methods for modeling nonlinear dynamics in accelerators. Key themes include high-order transfer maps, magnetic field computation, and simulations of muon beam behavior. Contact: makino@msu.edu
Agnieszka Nowak is a Research Fellow at the Department of Physics , Lancaster University , specializing in experimental particle physics and neutrino research. She is actively involved with the DUNE (Deep Underground Neutrino Experiment) collaboration, contributing to detector development, software, and astrophysical applications. Role : DUNE PCB Research Associate Department : Physics Institution : Lancaster University Her research focuses on neutrino physics , liquid argon time-projection chambers (TPCs) , and supernova detection . She develops algorithms for energy measurement in particle detectors and contributes to the DUNE experiment's software and computing infrastructure. Recent publications highlight her work on neutrino oscillations , detector calibration techniques , and international collaborations for accelerator upgrades. Her efforts span both theoretical and experimental domains, bridging particle physics with astrophysical phenomena.
Professor Baojiu Li is a faculty member in the Department of Physics at Durham University, where he also holds a position at the Institute for Computational Cosmology. His research focuses on theoretical cosmology, particularly on modified gravity theories and their implications for large-scale structure formation in the universe. With a strong background in both theoretical physics and computational methods, Professor Li has made significant contributions to our understanding of cosmic acceleration, gravitational physics, and numerical simulations of cosmological structures. Professor Li received his PhD in Applied Mathematics from Queens' College, University of Cambridge (2006-2009), followed by an MPhil in Physics from The Chinese University of Hong Kong (2004-2006), and a BSc in Physics from Tsinghua University, Beijing, China (2000-2004). His academic career began with research positions at the University of Cambridge (2009-2011) before joining Durham University in 2011 as a Lecturer in Theoretical Astrophysics, progressing to Senior Lecturer (2011-2014), Reader (2016-2019), and ultimately Professor. Professor Li's research interests center around accelerated cosmic expansion and cosmological tests of gravity, large-scale structure formation, weak gravitational lensing, numerical simulations of cosmological structures, cosmic voids, and numerical relativity. He has pioneered advanced computational methods for simulating modified gravity models, particularly focusing on f(R) gravity and other alternative theories to general relativity. His work bridges theoretical predictions with observational cosmology, developing innovative techniques to test gravity on cosmological scales through galaxy clustering, weak lensing, and cosmic void statistics. Professor Li's extensive publication record demonstrates a consistent focus on modified gravity theories and their observational signatures. His recent work (2023-2025) shows increasing sophistication in computational approaches, with significant contributions to the development of emulators for modified gravity simulations, advanced numerical relativity solvers, and machine learning applications in cosmology. His research spans both theoretical developments and practical applications for upcoming cosmological surveys, addressing key tensions in modern cosmology such as the S8 parameter discrepancy. Professor Li has held teaching responsibilities including lecturing for Level 3/4 "Cosmology" courses, mentoring for University College, advising Level 1 Physics & Natural Science students, and supervising Level 4 physics projects. His research group at Durham's Institute for Computational Cosmology focuses on developing cutting-edge computational tools to test fundamental physics through cosmological observations. Professor Li leads several major computational cosmology initiatives, including the development of ECOSMOG (an Efficient COde for Simulating MOdified Gravity), the FLAMINGO project examining baryonic feedback in cosmological simulations, and work on numerical relativity solvers through ExaGRyPE. His research bridges theoretical gravity models with observational cosmology, providing critical tools for testing general relativity on cosmological scales through upcoming surveys like DESI and Euclid.
Dr. John Osborne is a researcher at Durham University, specializing in gamma ray astronomy and theoretical astrophysics. His work focuses on high-energy cosmic phenomena through collaborations like the H.E.S.S. experiment, contributing to discoveries of very high energy (VHE) gamma-ray sources across the Milky Way and beyond. Research Interests: Cosmic ray acceleration in supernova remnants, interstellar medium interactions, extragalactic background light analysis, and galactic magnetic field irregularities. Key Contributions: Instrumental in calibrating H.E.S.S. detectors, studying pulsar wind nebulae (e.g., Vela X), and investigating AGN like M87 and PKS 2155-304. Observational Work: Analyzed TeV gamma emissions from binary pulsars, stellar endpoints, and unidentified extended sources, emphasizing multi-wavelength approaches. Technical Expertise: Pioneered atmospheric monitoring techniques for Cherenkov telescopes and developed models for cosmic ray propagation in convective halos.
Elie Korkmaz is a Professor of Physics at the University of Northern British Columbia (UNBC) with a distinguished career in nuclear and subatomic physics research. His professional journey includes positions as research associate at University of Alberta/TRIUMF (1988-91), research scientist at University of Alberta (1991-93), assistant professor (1993-96), associate professor (1996-2001), and professor (2001-present) at UNBC. He also served as adjunct research professor at University of Western Ontario (2004-2011) and visiting scientist at TRIUMF/UBC (1999-2000). Dr. Korkmaz's research interests focus on experimental subatomic physics , particularly in the areas of ultracold neutrons, neutron electric dipole moment measurements, and parity-violating electron scattering. His work is primarily conducted at major international facilities including TRIUMF in Vancouver and Jefferson Lab in Virginia, supported by funding from NSERC and CFI. He collaborates extensively with researchers from University of Winnipeg, University of Manitoba, TRIUMF, and University of British Columbia. His recent publications demonstrate a strong focus on precision measurements of fundamental symmetries, with numerous papers appearing in top physics journals as recently as 2025. The research spans neutron physics, parity violation studies, and precision measurements of nucleon structure, reflecting his expertise in both experimental techniques and theoretical implications of his findings. Dr. Korkmaz is an active member of several professional organizations including the Canadian Association of Physicists (CAP), American Physical Society (APS), Canadian Institute of Nuclear Physics (CINP), TRIUMF Users Group, and Jefferson Lab Users Group. He teaches advanced physics courses including PHYS 406 - Subatomic Physics.
