جست‌وجوی استاد و پژوهشگر

Camillo Marianiمشاهده پروفایل

استاد

• Experimental Neutrino Physics
• Dark Matter Detection
• Particle Physics
• +۳ مورد دیگر

Camillo Mariani is a Professor of Physics at Virginia Tech, affiliated with the College of Science and Department of Physics. He serves as Director of the Graduate Program and Director of the Kimballton Underground Research Facility (KURF). His research focuses on experimental neutrino science, including dark matter detection and particle physics experiments. He earned his Ph.D. from the University of Rome 'La Sapienza'. His research interests center on neutrino interactions, detector development for experiments like DarkSide-20k and DUNE, and applications of liquid argon time projection chambers (LArTPC). Key projects include studies of neutrino oscillations, dark matter searches, and cosmic ray tagging systems. Recent publications emphasize detector optimization, neutrino cross-section measurements, and searches for hidden sector particles. His work spans collaborations at Fermilab, CERN, and Jefferson Lab, advancing neutrino physics and accelerator technologies. Mariani leads KURF, a deep underground facility for low-background experiments, and contributes to DUNE’s software and computing infrastructure. His expertise bridges experimental particle physics with cutting-edge detector engineering and data analysis techniques.

Xenofon Fafoutisمشاهده پروفایل

استاد

• Internet of Things (IoT)
• Wireless Sensor Networks
• Digital Health
• +۵ مورد دیگر

Xenofon Fafoutis is a Professor in the Department of Applied Mathematics and Computer Science at the Technical University of Denmark (DTU). His research focuses on the Internet of Things (IoT), wireless sensor networks, digital health, and embedded systems. He leads several projects including the DIREC Digital Community Building initiative and the eAI: Embedded AI initiative. His work emphasizes energy-efficient communication protocols, security in IoT, and the application of machine learning in edge computing. Key research interests include: IoT and Industrial IoT Wireless embedded systems and protocols Machine learning for edge devices Cybersecurity for sensor networks Wearable health monitoring systems Recent publications highlight his contributions to reinforcement learning-based scheduling, energy-efficient IoT protocols, and TinyML applications. He supervises PhD students in areas like embedded AI toolchains and predictive maintenance systems. His work aligns with UN SDG goals related to sustainable infrastructure and innovation.

Jan De Rydtمشاهده پروفایل

دانشیار

• Polar Glaciology
• Oceanography
• Climate Dynamics
• +۳ مورد دیگر

Jan De Rydt is an Associate Professor at the Geography and Environmental Sciences Department within the Faculty of Engineering and Environmental Science at Northumbria University. He is also a UKRI Future Leaders Fellow (2022-2026), focusing on polar glaciology and oceanography. His research explores ice sheet dynamics, climate interactions, and sea level rise projections using numerical models like Úa and coupled ice-ocean frameworks. Education: PhD in Theoretical Physics (KU Leuven, Belgium) MSc in Physics (KU Leuven) MPhil in Geography Studies (University of Cambridge) Research Interests: The team addresses ice flow uncertainties through three key challenges: initial state estimation, parameter structural problems, and boundary forcing impacts. Projects include OCEAN:ICE (EU Horizon Europe) to reduce Antarctic freshwater flux uncertainties. Recent work focuses on Antarctic ice shelf stability, ocean-ice coupling, and ensemble forecasting until 2300. Advising & Grants: Supervises researchers Brad Reed, Jo Zanker, Qing Qin, and Sam Hartharn-Evans. Leads UKRI and EU-funded projects addressing ice sheet modeling uncertainties and climate scenario projections. Labs/Teams: Involved in the Marine Ice Sheet–Ocean Model Intercomparison Project (MISOMIP2) and collaborative ice-ocean modeling initiatives using tools like Úa-MITgcm.

Silvia Paniمشاهده پروفایل

مدرس ارشد

• Medical Imaging
• Radiation Physics
• X-ray Techniques
• +۴ مورد دیگر

Dr. Silvia Pani is a Senior Lecturer in Applied Radiation Physics at the University of Surrey, part of the School of Mathematics and Physics. She holds a Laurea in Physics from the University of Trieste (1996) and a PhD in Physics (2001). Her career includes postdoctoral work on synchrotron beamlines, a Marie Curie Fellowship at University College London (2004), and roles at Queen Mary University of London and Barts NHS Trust. She joined Surrey's Physics Department in 2008 and became Senior Lecturer in 2017. Roles: Programme Director (MSc Medical Physics), Radiation Protection Supervisor Education: Postgraduate Certificate in Academic Practice (2010) Research focuses on X-ray imaging techniques for medical and security applications, including breast imaging, quantitative spectroscopic methods, and adaptation of synchrotron techniques to laboratory settings. Key collaborations involve institutions like Rutherford Appleton Labs, University of Manchester, and the Home Office. Publications emphasize hyperspectral detectors, scatter-free imaging, and CT optimization. Her work combines detector development with clinical applications, aiming to improve diagnostic accuracy while reducing radiation dose.

Tyce DeYoungمشاهده پروفایل

دانشیار

• Experimental Particle Astrophysics
• Neutrino Physics
• Cosmic Ray Acceleration
• +۳ مورد دیگر

Tyce DeYoung is an Associate Professor in the Department of Physics and Astronomy at Michigan State University , where he focuses on experimental particle astrophysics using the IceCube Neutrino Observatory and HAWC collaborations. His work bridges astrophysical environments with fundamental particle properties through high-energy neutrino detection. Key research areas: Neutrino oscillations, dark matter, cosmic ray acceleration, and TeV gamma-ray astronomy Leadership roles: Deputy Spokesperson of IceCube Collaboration, Convener of Neutrino Oscillations Working Group His IceCube research includes developing the DeepCore and PINGU low-energy extensions to study neutrino mass hierarchy and oscillation physics. He applies innovative physics pedagogy in teaching and integrates undergraduate research participation . Notable scientific awards: National Science Foundation Faculty Early Career Development (CAREER) Award University of Wisconsin Graduate Prize Fellowship Recent publications emphasize atmospheric neutrino oscillations , astrophysical neutrino flux , and TeV energy regime studies using IceCube and HAWC data. Collaborations span institutions including the University of Wisconsin , Pennsylvania State University , and University of California, Santa Cruz .

Simon Goodallمشاهده پروفایل

پژوهشگر

• Medical Physics
• Radiation Oncology
• Biomedical Engineering
• +۳ مورد دیگر

Simon Goodall is a Doctor of Philosophy Student and Casual Teaching staff member at the School of Physics, Mathematics and Computing , The University of Western Australia . His research focuses on Medical Physics , particularly in Radiation Oncology and Biomedical Engineering . University: The University of Western Australia School: School of Physics, Mathematics and Computing Role: Researcher and Teaching Staff Simon's research addresses dosimetry , artifact reduction , and technology optimization in Stereotactic Body Radiation Therapy (SBRT) and SRS for spinal, cranial, and prostate cancer treatments. He has co-authored 18 research outputs with a h-index of 85 . His recent publications explore carbon fiber implants , electron beam profiles , air cavity effects , and boosting techniques in radiotherapy. Collaborative work includes contributions from researchers like Paula Rowshan Farzad and Martin Ebert , with ORCID: 0000-0003-3318-9703 .

• Aerospace Engineering
• Materials Science
• Mechanical Engineering
• +۳ مورد دیگر

Michele Pasquali is an Associate Professor at the Department of Mechanical and Aerospace Engineering of Sapienza University of Rome. His research focuses on advanced materials for aerospace and high-energy physics applications, structural health monitoring, Industry 4.0 integration in aerospace manufacturing, and preliminary design methodologies for satellite systems and collimation systems in particle accelerators. His work often intersects with experimental facilities at CERN, particularly the HiRadMat facility for material testing under extreme conditions. Key research themes include: Development of advanced composite materials for aerospace and accelerator components Integration of AI and immersive technologies (AR/VR) in manufacturing and assembly processes Optimization of beam collimation systems for high-luminosity particle accelerators like the HL-LHC and FCC Economic analysis of space infrastructure concepts such as lunar propellant mining Systems engineering approaches for Earth observation satellite constellations His recent projects include: Design of a Cyber-Physical System for AR-assisted assembly of aerospace components Material characterization studies for vacuum beam windows at CERN facilities Preliminary analysis of moon-mined propellant viability for on-orbit refueling Collaborations involve major scientific institutions such as CERN and contributions to Future Circular Collider (FCC) conceptual design reports. His work bridges theoretical modeling with practical implementation in cutting-edge engineering systems.

Andrei Dereviankoمشاهده پروفایل

استاد

• Atomic Physics
• Precision Measurements
• Dark Matter Detection
• +۴ مورد دیگر

Andrei Derevianko is the Sara Louise Hartman Endowed Professor of Physics at the University of Nevada, Reno (UNR), within the College of Science's Department of Physics. He has held academic ranks including Assistant (2001-2006), Associate (2006-2010), and Full Professor (2010-present) at UNR. His research focuses on precision measurements, dark matter detection via atomic clocks, and quantum information processing. Notable contributions include leveraging GPS satellite atomic clocks for dark matter searches and developing theoretical frameworks for ultralight dark matter interactions. Education: Ph.D. in Physics (1996, Auburn University), M.S. in Physics and Applied Mathematics (1992, Moscow Institute of Physics and Technology). Awards include the Simons Fellowship and Fellow of the American Physical Society. His work bridges atomic physics with particle and nuclear physics, emphasizing interdisciplinary approaches to fundamental questions in physics. Research interests include atomic clock networks for exotic physics, quantum sensor networks, and theoretical studies of fundamental constants. He leads the GPS.DM observatory, analyzing 16 years of GPS data for dark matter signatures. Collaborations span institutions like CERN and the Nevada Geodetic Laboratory. Awards and honors: 2015 Outstanding Researcher (UNR), 2007 Mousel-Feltner Award, and 2006 Fulbright Senior Scholar. His lab explores topics like thorium nuclear clocks and Rydberg atom dynamics. He actively mentors students and postdocs, with a focus on experimental and theoretical projects in atomic physics and dark matter detection.

• Artificial Intelligence
• Scientific Machine Learning
• Wireless Communications
• +۳ مورد دیگر

Dr. Stefanos Bakirtzis is a Research Associate at the University of Cambridge's Department of Computer Science and Technology. He holds a Diploma in Electrical Engineering from the National Technical University of Athens, an M.A.Sc. from the University of Toronto, and a Ph.D. from Cambridge. His research focuses on AI-driven solutions for wireless communications and computational electromagnetics. Key research areas include: Physics-informed neural networks for electromagnetic simulations Data-driven propagation modeling for indoor/outdoor networks Stochastic performance evaluation of wireless systems Deep learning applications in radio environment prediction His publications demonstrate strong emphasis on hybrid AI-physics approaches for wireless network optimization, with recent works centered on GNN-based EM solvers and mm-wave path loss prediction. Awards include: Marie Curie Fellowship Onassis Scholarship IEEE AP-S Travel Grant EPSRC Impact Fund Research involves collaborations on EU projects focusing on network optimization and computational methods.

• Cybersecurity
• Data Protection
• Artificial Intelligence
• +۴ مورد دیگر

Dr. Chaminda Hewage serves as Interim Associate Dean for Research and Reader (Associate Professor) in the Cardiff School of Technologies at Cardiff Metropolitan University. He leads the Computer Security Programme and holds a Ph.D. in Multimedia Communications from the University of Surrey (2009) and a B.Sc. in Electrical and Information Engineering from the University of Ruhuna (Sri Lanka). His research focuses on cybersecurity, data protection in AI/ML systems, blockchain applications, and multimedia communication security. He has authored over 50 peer-reviewed publications and edited major books on emerging technologies' privacy challenges. Education Background: B.Sc. (Hons) Electrical & Information Engineering, University of Ruhuna (2004) Ph.D. in Multimedia Communications, University of Surrey (2009) Postgraduate Certificate in HE Teaching & Learning, Kingston University (2014) Research Interests: Data protection mechanisms in AI/ML Cybersecurity frameworks for Industry 4.0 Blockchain for public and private sector applications Metaverse privacy and security Edge AI and embedded system security Regulatory compliance in digital transformation Recent Contributions: Co-edited the 2024 Springer volume Data Protection: The Wake of AI and Machine Learning , published influential works on Kubernetes security, V2X communication cryptography, and metaverse privacy. Active in international conferences including C3AI and ICCS. Awards & Recognition: Gold Medal for Academic Excellence (2004), University of Ruhuna ORS Scholarship (2005), HEFCE Fellow of the Higher Education Academy Grants & Collaborations: Leads research projects on cybersecurity for SMEs, smart city infrastructure, and digital transformation. Engages with industry partners through Cardiff Met's innovation networks. Advises on UK government cyber policy initiatives. Labs/Teams: Oversees the Cybersecurity Research Group and collaborates with the ZERO2FIVE Food Industry Centre for IoT applications. Active in multidisciplinary teams addressing Industry 5.0 challenges.

Themis Prodromakisمشاهده پروفایل

استاد

• Memristor Technology
• AI Hardware
• Neuromorphic Computing
• +۱ مورد دیگر

Professor Themis Prodromakis holds the Regius Chair of Engineering at the University of Edinburgh and directs the Centre for Electronics Frontiers. A Royal Academy of Engineering Chair in Emerging Technologies, he pioneers memristor-based hardware for AI and neuromorphic computing. Awards include the 2021 Blavatnik Prize for Physical Sciences. His research bridges nanoelectronics and bioengineering, developing neural interfaces, reconfigurable circuits, and efficient AI accelerators. Recent articles focus on neural recording chips and RRAM-based memory systems. He founded ArC Instruments and SoneT.ai to commercialize testing infrastructure and AI hardware. Prodromakis collaborates globally with Tsinghua University and Imperial College London. His work supports UN Sustainable Development Goals through energy-efficient computing innovations.

• Computer Architecture
• Security
• Systems and Networking
• +۳ مورد دیگر

Alex Richardson is a Lecturer in the Department of Computer Science and Technology at the University of Cambridge . His research focuses on Computer Architecture , Security , and Programming Languages , with emphasis on memory safety, capability-based systems, and software verification. Richardson's research spans critical areas in systems security, including pointer provenance, temporal and spatial safety for CHERI heaps, and capability enforcement for embedded devices. His work integrates formal methods with practical implementations to address vulnerabilities in software and hardware architectures. Richardson has contributed to advancements in Capability-Based Security , Embedded Systems , and Memory Management through collaborations on projects like CHERI and SOAAP. His publications highlight innovations in heap management, access control, and real-time operating systems for cyber-physical systems. He is associated with the Computer Architecture Group and maintains active involvement in improving secure system design. His contact details include the email alr48@cam.ac.uk and the office at GE15, William Gates Building , Cambridge.

• Computer Architecture
• Mobile Systems
• Robotics and Automation
• +۴ مورد دیگر

Jon Ludlam is a Senior Research Associate at the Department of Computer Science and Technology, University of Cambridge. His primary affiliation is with the Computer Architecture Group, focusing on advanced systems research. Research Interests: Computer Architecture Mobile Systems and Robotics Programming Languages & Verification Security & Systems Networking His work bridges theoretical foundations with practical implementations in distributed computing, cloud infrastructure, and virtualization technologies. Publications reflect a trajectory from early studies in materials physics (e.g., vibrational localization in disordered systems) to modern systems challenges in virtualization, unikernel optimization, and network-aware resource management. Notable contributions include Jitsu: Just-In-Time unikernel summoning and heterogeneous processor pool virtualization frameworks. No scientific awards listed. No advisees documented. Active in collaborative research within the department's Energy and Environment Group and Accelerate Programme for Scientific Discovery.

David Armstrongمشاهده پروفایل

استاد

• Experimental Nuclear Physics
• Particle Physics
• Parity Violation Studies
• +۳ مورد دیگر

David Armstrong is a Professor of Physics at the College of William and Mary, specializing in experimental nuclear and particle physics. He holds a BSc from McGill University (1981), an MSc from Queen's University (1984), and a PhD from the University of British Columbia (1988). His research focuses on precision measurements of neutron structure, parity violation in electron scattering, and weak interactions. Armstrong has contributed to major experiments at Jefferson Lab, including Qweak and MOLLER, which explore fundamental symmetries and the weak charge of the proton. His work addresses topics like nuclear dependence of spin asymmetries, neutron skin thickness, and the interplay between strong and weak forces in nucleons. He has published extensively on parity-violating asymmetries, beam-normal single spin asymmetry, and precision determinations of form factors. His recent studies include advancements in Bayesian analysis for signal correction and exploration of the luminosity frontier with 22 GeV electrons. Armstrong’s experimental collaborations (e.g., PVDIS, SoLID) highlight his role in advancing accelerator-based particle physics. Despite no explicit mention of awards, his contributions align with leadership in his field. Armstrong’s advising and grants are not detailed here, but his affiliation with Jefferson Lab underscores involvement in large-scale physics projects. His work continues to probe the frontiers of nucleon structure and electroweak interactions.

Víctor López Domínguezمشاهده پروفایل

استادیار

• Spintronics
• Magnetic materials
• Electrical transport
• +۵ مورد دیگر

Víctor López Domínguez is an Assistant Professor and Principal Investigator at the Institute of Advanced Materials (INAM) of Jaume I University in Castelló, Spain, where he leads the Spintronics for Advanced Devices Lab (SPINAD Lab). His research focuses on developing next-generation spintronic devices for computing and sensing applications. His academic background includes: PhD in Nanoscience and Nanotechnology (2014) from University of Barcelona Physics Degree (2009) from University of Barcelona López Domínguez's research centers on electrical transport in magnetic materials, magnetization dynamics, and voltage-controlled spintronic devices. His work bridges fundamental physics with practical applications in neuromorphic computing, probabilistic systems, and nanoscale sensors. Key focus areas include antiferromagnetic spintronics, skyrmion manipulation, and energy-efficient computing paradigms that leverage spin-orbit torque and voltage control mechanisms. His 15 most recent publications reveal a strong emphasis on antiferromagnetic memory devices, voltage-controlled magnetism, and neuromorphic applications. The research spans from fundamental material studies to device integration, with significant contributions to silicon-compatible spintronic memory, probabilistic computing hardware, and magnetomechanical sensors. His scientific recognition includes: CIDEGENT grant (2022) from Generalitat of Valencia López Domínguez secured the CIDEGENT grant to establish his research group at INAM, supported by Jaume I University and INAM. His lab trains undergraduate, master's, and PhD students in experimental spintronics while collaborating with international clean rooms and industry partners. Current projects focus on implementing novel computing paradigms using spintronic devices. The SPINAD Lab maintains comprehensive facilities for material fabrication, device characterization, and nanofabrication through Spanish clean room networks. The group collaborates extensively with Northwestern University (where López Domínguez previously worked) and participates in international research consortia focused on next-generation computing technologies.