جست‌وجوی استاد و پژوهشگر

Sunil Golwalaمشاهده پروفایل

استاد

• Dark Matter
• Dark Energy
• Astrophysics
• +۳ مورد دیگر

Prof. Sunil Golwala is a Professor of Physics at the California Institute of Technology (Caltech), affiliated with the Division of Physics, Mathematics, and Astronomy. His research focuses on dark matter and dark energy, employing cutting-edge experiments such as the Cryogenic Dark Matter Search (CDMS), Bolocam, and Microwave Kinetic Inductance Detectors (MKIDs). He leads efforts in detector development for cosmological and particle physics applications, including projects like the Germanium Observatory for Dark Matter (GEODM) and the Cornell-Caltech Atacama Telescope (CCAT). Education: B.A., University of Chicago (1993); M.A., University of California, Berkeley (1995); Ph.D., UC Berkeley (2000). Academic roles include Assistant Professor (2003–2010), Associate Professor (2010), and Professor (2010–present). He served as Director of the Caltech Submillimeter Observatory (2013–2024) and is currently Deputy Executive Officer for Astrophysics. Research Interests: Prof. Golwala’s work bridges experimental particle physics and cosmology. Key areas include: Direct detection of WIMP dark matter using cryogenic detectors. Submillimeter astronomy with Bolocam to study galaxy clusters via the Sunyaev-Zeldovich (SZ) effect. Development of MKID technology for dark matter and cosmological applications. Future projects include the CCAT telescope and the GEODM ton-scale experiment. Teaching: He teaches advanced courses in classical physics (Ph106bc), quantum mechanics (Ph125ab), and non-accelerator particle physics (Ph135c). Courses emphasize rigorous problem-solving and foundational techniques. Labs/Teams: Active in the Caltech Submillimeter Observatory and collaborations with CDMS/SuperCDMS, CCAT, and MKID development teams.

• Nuclear Physics
• Neutron Cross-Sections
• Fission
• +۳ مورد دیگر

Tobias Wright is an EPSRC Research Fellow at the University of Manchester , specializing in nuclear data measurements critical for advanced nuclear technologies . He holds a PhD in Nuclear Physics (2014) and an MPhys in Physics (2010) from the University of Sheffield. Research Interests: Measurement of neutron-induced reaction cross-sections ( capture, fission, elastic/inelastic scattering ) at international facilities like: CERN n_TOF ILL High-Flux Reactor NPL Van de Graaff Accelerator His work supports nuclear reactor design , astrophysical modeling (s-process nucleosynthesis), and radiation protection , aligning with the UN Sustainable Development Goal for Clean Energy . Key methodological contributions include detector development (e.g., segmented total energy detectors, multi-section fission chambers) and high-resolution spectroscopy . Teaching: Course leader for Introduction to Nuclear and Particle Physics and former lecturer for Nuclear Physics , Applied Nuclear Physics , and Radiation Protection at the University of Chester (2020-2022). Supervises undergraduate and postgraduate students in nuclear physics projects. Scientific Achievements: EPSRC Fellowship (2022) Manager, UK Nuclear Data Network (2019) Fellow of the Higher Education Academy (2022)

• Radiation Detection
• Semiconductor Detectors
• ASIC Design
• +۴ مورد دیگر

Piotr Maj is Professor at the Department of Metrology and Electronics within the Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering at AGH University of Science and Technology in Kraków. His research focuses on semiconductor radiation detectors and readout electronics for nuclear physics, medical imaging, and space applications. His primary research areas include Radiation Detection using CZT and TlBr semiconductors, ASIC Design for photon counting systems, and Position-Sensitive Detector development. Key specialties encompass virtual Frisch-grid technology, event-driven readout architectures, and integration of machine learning for real-time signal processing in high-energy physics environments. His work frequently involves synchrotron radiation facilities and space instrumentation projects. Analysis of his 2023-2025 publications reveals dominant trends in radiation-hard ASIC development for space missions (e.g., HEXID, EDWARD architectures), 3D position-sensitive detector characterization (CdZnTe/TlBr arrays), and machine learning integration for in-pixel intelligence. His detector systems target applications in gamma-ray astronomy, nuclear security, and biomedical imaging, with emphasis on high-speed, low-noise performance under extreme conditions.

Petar Žugecمشاهده پروفایل

دانشیار

• Nuclear Physics
• Particle Physics
• Neutron Capture
• +۳ مورد دیگر

Associate Professor Petar Žugec is affiliated with the Department of Experimental Physics at the Faculty of Natural Sciences and Mathematics , University of Zagreb. He actively contributes to both undergraduate and graduate teaching , covering core topics in Physics 1, Physics 2, Symbolic Programming , and specialized courses in Nuclear Physics and Particle Physics . As a member of the CERN n_TOF collaboration , he focuses on neutron cross-section measurements critical for astrophysics and nuclear reactor applications . His research involves experimental nuclear physics using advanced detector systems , including Segmented Total Energy Detectors (sTED) and Compton gamma cameras . He participates in projects like PRECIOUS and SAT-PHENO , aiming to improve neutron capture data for stellar nucleosynthesis modeling . Recent publications emphasize machine learning applications in resolution function parametrization and event classification for high-precision experiments. His work at the CERN n_TOF facility addresses challenges in high count rate scintillation detectors and neutron-induced fission studies , particularly for 235U and 239Pu . He contributes to gamma-ray polarization research in positron emission tomography and has co-authored technical guidelines for detector setup characterization . No scientific awards or student advisement details were explicitly mentioned in the provided texts.

• Medical Physics
• X-ray Imaging
• Microtomography
• +۵ مورد دیگر

Alberto Bravin is Professor of Applied Physics-Medical Physics at the Università degli Studi di Milano-Bicocca (since 2021) with a renewable position at the University of Calabria for the STAR infrastructure project. Previously, he led the ID17 Biomedical Beamline at the European Synchrotron Radiation Facility (ESRF) in Grenoble for 18 years. His research bridges medical physics and clinical applications through advanced X-ray technologies. Research interests span: Multiscale phase-contrast imaging for virtual histology Microbeam radiation therapy for neurological disorders Synchrotron-based computed tomography Artificial intelligence-enhanced biomedical imaging Radiotherapy optimization His work has established new standards in tissue visualization, enabling 3D reconstruction of organs at histological resolution. Awards and honors: Stanford University World Top 2% Scientist (2021) Médaille d'honneur de travail (French Silver Medal, 2021) Outstanding Scientist Award - Italian Synchrotron Society (2018) Fellow - American Association of Medical Physicists (2016) He serves on editorial boards of major journals including Medical Physics and Scientific Reports, and has supervised multiple PhD theses on microbeam therapy applications. Current work includes developing the ThomX Compton X-ray source and studying chemotherapy-induced neurovascular changes using synchrotron imaging.

• Particle Physics
• Experimental Physics
• Neutrino Physics
• +۵ مورد دیگر

Dr. Michal Rigan is a Research Fellow in the Department of Physics and Astronomy at the University of Sussex, within the School of Mathematical and Physical Sciences. His research focuses on experimental particle physics, particularly with the DUNE (Deep Underground Neutrino Experiment) and previously with the SNO+ experiment. Dr. Rigan completed his PhD in Physics at the University of Sussex, where he worked on the SNO+ experiment, focusing on calibration systems and developing a burst trigger system for supernova detection. Before his PhD, he earned an MSci in Particle Physics and Physical Chemistry from University College London, where his master's thesis involved work on the SHiP experiment in collaboration with CERN. His research interests span neutrino physics , supernova detection , liquid argon detector technology , and trigger systems development . Dr. Rigan has made significant contributions to the field through his work on calibration systems, supernova sensitivity analysis, and physics trigger implementation for large-scale particle physics experiments. His recent publications (2023-2025) demonstrate a strong focus on the DUNE experiment, with particular emphasis on neutrino interaction vertex reconstruction using deep learning, supernova pointing capabilities, detector technology development, and data analysis techniques for liquid argon time projection chambers. His work shows a progression from detector calibration and supernova detection in SNO+ to more advanced physics trigger systems and analysis techniques in DUNE. Dr. Rigan has received recognition through citations for his work, with several publications accumulating significant citation counts (up to 25 citations for the DUNE far detector vertical drift technology paper). His research has been highlighted by various platforms including news outlets, social media, and academic readership services. As an educator, Dr. Rigan teaches C++ programming to students in the School of Mathematical and Physical Sciences. His background as a full-stack developer during a gap year before his PhD provides him with practical industry experience that informs his teaching approach. He is actively involved in mentoring and would be an excellent supervisor for students interested in experimental particle physics and computational methods. Dr. Rigan's laboratory work is primarily associated with the DUNE experiment ( https://www.dunescience.org/ ), where he contributes to the development of physics trigger systems and supernova detection capabilities. His work involves close collaboration with international research teams working on this major particle physics project.

• Experimental Particle Physics
• Neutrino Physics
• Scintillator Detector Development
• +۵ مورد دیگر

Nicolo Tuccori is a Research Fellow in the Experimental Particle Physics (EPP) group within the School of Mathematical and Physical Sciences at the University of Sussex, a position he has held since September 2023. His research primarily focuses on LiquidO opaque scintillator technology and its applications in neutrino physics and nuclear reactor monitoring. Dr. Tuccori completed his PhD at the University of Sussex between 2019 and 2023, following prior research experience at the Università degli Studi di Padova in Italy where he earned his Master's degree in Physics. His academic journey includes international research collaborations, including work at Instituto Superior Técnico in Lisbon, Portugal through an Erasmus scholarship. His research interests center on experimental particle physics with a specialization in scintillator detector development. Dr. Tuccori's work spans neutrino detection using opaque scintillator technology, nuclear reactor monitoring through anti-neutrino detection, and the optimization of scintillator-based X-ray detectors for medical imaging applications. His research bridges fundamental physics with practical applications in nuclear safeguards and medical technology. Dr. Tuccori is actively involved in presenting his research at international conferences, with recent presentations focusing on muon detection with opaque scintillator prototypes and advancements in scintillator-based imaging systems. His work on the AM-OTech innovation project represents a significant application of particle physics for nuclear reactor monitoring. As an educator, Dr. Tuccori serves as a doctoral tutor for undergraduate physics courses at Sussex, including Physics Year 1 Laboratory and core theoretical courses. He holds an Associate Fellow of the Higher Education Academy certification, demonstrating his commitment to teaching excellence. His research network includes collaborations with international institutions involved in the LiquidO technology development and the AM-OTech project, with fieldwork conducted at locations including Chooz, France. Dr. Tuccori's work exemplifies the intersection of experimental particle physics, detector development, and practical applications in nuclear monitoring and medical imaging.