Find Academic Supervisors

• Hybrid pixel detectors
• Readout systems
• X-ray radiation
• +2 more

David Krapohl is a Senior Lecturer at Mid Sweden University's Department of Computer and Electrical Engineering, affiliated with the STC Research Centre in Sundsvall. His academic background includes a PhD in Engineering from Mid Sweden University and an engineering degree in Mechatronics from Aachen University of Applied Sciences (Germany), with a student exchange at Mälardalen University. Research Focus: David specializes in radiation detection systems, with emphasis on: Hybrid pixel detectors (Medipix/Timepix) X-ray and neutron detector technologies Readout electronics and Monte Carlo/FEM simulations He actively contributes to international collaborations like the CERN Medipix project and the BrightnESS neutron detector initiative. Publications & Trends: His 15 most recent articles (2011–2023) predominantly explore X-ray fluorescence imaging , detector simulation frameworks (Geant4), and radiation sensor optimization . Recurring themes include material analysis for industrial applications (e.g., pulping, environmental monitoring) and hardware design for spectroscopic systems. Teaching & Advising: David supervises Master-by-Research students and encourages inquiries about projects in detector physics and radiation systems. No awards or grants are documented. Contact: Reach him via email (david.krapohl@miun.se) or phone (+46 (0)10-1428755) at Room S404, Sundsvall campus.

Georgios TrichopoulosView profile

Associate Professor

• Millimeter-Wave Technology
• Terahertz Technology
• Biomedical Sensing
• +4 more

Georgios Trichopoulos is an Associate Professor at Arizona State University's School of Electrical, Computer and Energy Engineering, specializing in millimeter-wave (mmW) and terahertz (THz) technology for biomedical sensing, imaging systems, and wireless communications. He received his Ph.D. in Electrical and Computer Engineering from The Ohio State University in 2013 and joined ASU in 2015 after postdoctoral work at Ohio State's ElectroScience Lab. Education: Ph.D. in Electrical and Computer Engineering, The Ohio State University (2013) His research focuses on THz and mmW technology, including on-chip antenna design, non-contact device characterization, and imaging systems. A co-founder of TeraProbes Inc., he develops scalable beamforming architectures and programmable electromagnetic surfaces for 5G/6G communications and security applications. Recent publications highlight advancements in THz imaging systems, non-contact probe calibration, and hybrid electromagnetic modeling. Articles span biomedical diagnostics, wireless communication systems, and nanofabrication techniques. Scientific Awards: NSF CAREER Award (2019)

• Biomedical Image Processing
• Machine Learning in Medical Diagnostics
• Radiation Physics
• +2 more

Giuseppe Raso is a Professor at the University of Palermo , affiliated with the Department of Physics and Chemistry . He specializes in biomedical image processing , radiation physics , and autoimmune disease diagnostics . His work integrates machine learning and semiconductor detector technology for applications in medical imaging and environmental radiation monitoring . Research Interests: Development of AI-driven diagnostic systems for coeliac disease Advanced signal processing techniques for CdZnTe/CdTe radiation detectors Automated analysis of HEp-2 cell immunofluorescence patterns Key Publications span deep learning in biomedical imaging , radiation spectroscopy , and grid infrastructure for medical data analysis .

• Quantum transport in 2D materials
• Graphene-based electronics
• Van der Waals heterostructures
• +5 more

Samuel Lara Avila is an Associate Professor at Chalmers University of Technology in the Department of Quantum Component Physics. His research focuses on quantum transport phenomena in 2D materials, particularly graphene and its heterostructures, with applications in quantum resistance metrology, terahertz detection, and nanoelectronic devices. Major research areas: Quantum transport, 2D material heterostructures, graphene-based sensors, and electronic device physics Key collaborations: Professor Sergey Kubatkin, Dr. Hans He, and international teams in materials synthesis and quantum engineering His publications highlight advancements in van der Waals heterostructures for tunnel field-effect transistors, quantum Hall effect stability, and terahertz photon detection. Recent work includes computational modeling of 2D semiconductor tunability and scalable fabrication of edge contacts for quantum devices. Current projects funded by VINNOVA and the Swedish Research Council (VR) include studies on quantum criticality in 2D Dirac materials and industrial applications of graphene technology (2D-TECH). Earlier contributions involved quantum Hall resistance standards and molecular electronics research, including single-molecule conductance switching.

• Cloud Computing
• Machine Learning
• Text Analysis
• +4 more

Noel Ridwan is an Assistant Professor in the Department of Math and Computer Science at Texas Lutheran University. With a Ph.D. in Computer Science from the University of Texas at San Antonio, his expertise spans cloud computing, machine learning, and computer science education. Ph.D., Computer Science, University of Texas at San Antonio M.S., Computer Science, University of Texas at San Antonio B.Sc., Computer Science and Engineering, Bangladesh University of Engineering & Technology Ridwan's research focuses on automated text analysis for political and environmental discourse, machine learning applications in fake news detection and economic forecasting, and cloud computing optimization through adaptive resource management. His work has been published in leading conferences including MPSA, IC2E, and CLOUD. Recent trends in his publications highlight the integration of AI chatbots, comparative analysis of detection systems, and machine learning for financial forecasting. His academic contributions have been recognized with a Best Paper Award at CLOUD2017. Best Paper Award, IEEE International Conference on Cloud Engineering (CLOUD2017) Ridwan actively mentors students through collaborative summer research grants from TLU's VPAA office, including projects on fake news detection and stock market prediction . He maintains professional affiliations with the IEEE Computer Society and the Association for Computer Educators in Texas (ACET).

Martin M. RothView profile

Professor

• Astronomical Instrumentation
• Astrophotonics
• Spectroscopy
• +3 more

Prof. Dr. Martin M. Roth serves as a Professor and Scientific Staff member at the Leibniz Institute for Astrophysics Potsdam (AIP), Germany, with office LH/0-20 and contact email mmroth@aip.de. His primary research affiliation is with the Astrophotonics (innoFSPEC) group within AIP's Technical Section, where he contributes to precision mechanics, mechanical engineering, and technical software development for astronomical instrumentation. Roth specializes in astronomical instrumentation development, with core expertise in astrophotonics, spectroscopy systems, and detector technologies. His work bridges photonics engineering and observational astronomy, focusing on creating advanced optical components like OH-suppression filters, integral field units, and low-light camera systems. Key research areas include thermal compensation for astronomical filters, characterization of infrared detectors, and designing next-generation spectroscopic instruments for ground-based telescopes. Analysis of Roth's 2023-2025 publications reveals a concentrated focus on instrumentation challenges for major telescope projects. His work consistently addresses photonics applications across stellar physics, galaxy evolution, and cosmology studies, particularly through instruments like MUSE and the Wide-Field Spectroscopic Survey Telescope (WST). Recurring themes include detector system optimization, spectroscopic calibration, and photonics-based solutions for atmospheric interference. Within AIP's research infrastructure, Roth actively collaborates across multiple sections including Astrophotonics (innoFSPEC), 3D and Multi Object Spectroscopy, and Technical Software/Electronics. His projects frequently intersect with the Milky Way and Local Volume group, Galaxies and Quasars research, and precision mechanics workshops, demonstrating the interdisciplinary nature of modern astronomical instrumentation development.

Philip BurrowsView profile

Professor

• Particle Physics
• Accelerator Science
• Plasma Wakefield Acceleration
• +3 more

Philip Burrows is a Professor of Physics at the University of Oxford and Senior Research Fellow at Jesus College. He serves as Director of the John Adams Institute for Accelerator Science. His academic journey includes a BA and DPhil in Physics from Oriel College, Oxford, followed by roles at MIT and Queen Mary University of London. His research focuses on particle physics, accelerator science, and plasma wakefield acceleration. Key projects include the Muon Collider, CLIC (Compact Linear Collider), and the AWAKE experiment at CERN. Education: BA Physics, Oriel College Oxford (1982-85) DPhil Particle Physics, Oriel College Oxford (1985-88) Research Interests: Explores particle physics and accelerator science, including plasma-based acceleration, high-gradient RF technologies, and collider design. Recent work includes studies on proton-driven plasma wakefields, ion motion in plasmas, and feedback systems for beam stabilization. Publications: Focus on accelerator R&D, CLIC project milestones, and plasma physics. Notable contributions include breakthroughs in plasma wakefield dynamics and nanobeam stabilization techniques. Scientific Awards: Fellow of the Institute of Physics (FInstP) and Fellow of the American Physical Society. Advising & Grants: Leads international collaborations like the Muon Collider and contributes to the European Strategy for Particle Physics. Active in training through initiatives like the ARIES MOOC program. Labs/Teams: Principal investigator in CLIC and AWAKE projects. Collaborates with CERN, KEK, and global institutions on accelerator R&D.

• Radiation Detection
• Data Science
• Gamma-ray Spectroscopy
• +7 more

Clair Julia Sullivan is an Adjunct Assistant Professor in the Department of Nuclear, Plasma & Radiological Engineering at the University of Illinois Urbana-Champaign, affiliated with the Grainger College of Engineering. She holds additional affiliations with the National Center for Supercomputing Applications (NCSA), the Department of Informatics, and the Department of Computer Science and Engineering. Sullivan earned her PhD in Nuclear Engineering from the University of Michigan in 2002, preceded by dual BS degrees in Physics and Astronomy (1997) and an MS in Nuclear Engineering (1998). Her research focuses on radiation detection technologies, data science applications in nuclear security, isotope identification algorithms, and big data analytics for sensor networks. She has contributed to critical areas like nuclear nonproliferation, sensor network optimization, and novel neutron detector materials. Notable awards include the DARPA Young Faculty Award (2014) and the Mary Jane Oestmann Professional Women’s Achievement Award (2015). Sullivan serves as an Associate Editor for the IEEE Transactions on Nuclear Sciences and holds teaching honors including Excellence in Undergraduate Teaching (2015, 2013). Her interdisciplinary work bridges nuclear engineering with computer science, contributing to advancements in automated radiation analysis systems.

Chandraman PatilView profile

Academic

• Photonic Devices
• Photonic Integrated Circuits (PICs)
• Material Metrology
• +7 more

Dr. Chandraman Patil is a Research Assistant Professor in the Department of Electrical & Computer Engineering at the University of Florida, affiliated with the Herbert Wertheim College of Engineering. His research focuses on photonic devices, photonic integrated circuits (PICs), material metrology, and heterogeneous integration. He leads the HAPTIC Lab, advancing innovations in optoelectronics and photonics. Education: Ph.D. Electrical & Computer Engineering, George Washington University (2023) M.S. Electrical & Computer Engineering, George Washington University (2019) B.S. Electronics Engineering, Mumbai University (2017) Research Interests: Dr. Patil explores cutting-edge topics such as photonic device design, 2D material integration, optical neural networks, and energy-efficient photonic systems. His work emphasizes practical applications in secure communications, sensor technology, and high-speed computing. Recent advancements include strain-engineered photodetectors, hybrid optical-electronic systems, and MXene-based mid-IR detectors. Publications: His research spans photonic integrated circuits, neural network-driven optical signal processing, and material characterization. Key areas include OAM beam manipulation, 2D material prototyping, and phase-change memory architectures. Over 30 peer-reviewed articles demonstrate his contributions to photonics and optoelectronics. Awards: 2021: MOC Student Award (26th Micro Optics Conference) 2021: NCSA nanoMFG Fellowship (University of Illinois) 2021–22: Sprawcew Scholarship (George Washington University) Advising & Grants: While no students are listed, Dr. Patil actively collaborates on grants focusing on integrated photonics and emerging materials. His work bridges academic research with industrial applications in photonics and electronics. Labs & Teams: He directs the HAPTIC Lab, a hub for photonics innovation, fostering interdisciplinary projects in optoelectronics, materials science, and optical computing.

• Neutrino Physics
• Particle Physics
• CP Violation
• +3 more

Professor Neil McCauley is a Professor in Physics at the University of Liverpool, affiliated with the School of Physical Sciences and the Faculty of Science and Engineering. His research focuses on neutrino physics, particularly CP violation in neutrino oscillations and detector development for experiments such as Hyper-Kamiokande and WATCHMAN. He leads Liverpool's involvement in Hyper-K's calibration working group and oversees the light injection system's design. His work includes contributions to the T2K experiment, which observed electron neutrino appearance, and the SNO+ project measuring solar neutrino fluxes. He has secured major grants including the Hyper Kamiokande Construction (2022–2026) and AIT/WATCHMAN (2018–2025). Supervised research includes studies on neutrino interactions, detector simulations, and cross-section measurements. Professional roles include conference participation (e.g., NuFact 2019) and membership in the Institute of Physics. His expertise spans neutrino oscillations, detector engineering, and astroparticle physics applications. Key projects: Hyper-Kamiokande (CP violation studies), WATCHMAN (nuclear non-proliferation), and legacy contributions to T2K/SNO. Current initiatives include optimizing neutrino detection systems and advancing neutrino oscillation analysis techniques.

Curtis A. MeyerView profile

Professor

• Nuclear Physics
• Particle Physics
• Quantum Chromodynamics (QCD)
• +4 more

Curtis A. Meyer is the Interim Dean of the Mellon College of Science and the Otto Stern Professor of Physics at Carnegie Mellon University. He holds a courtesy appointment at the Pittsburgh Supercomputing Center. His research focuses on nuclear and particle physics , particularly quantum chromodynamics (QCD) and gluonic excitations . Meyer leads the GlueX experiment at Jefferson Lab, aiming to uncover exotic hybrid mesons and gluonic matter that reveal QCD confinement mechanisms. Affiliations: CLAS Collaboration (Jefferson Lab), GlueX Collaboration (Spokesperson Emeritus), U.S.QCD Science Advisory Board Education: Ph.D. (Physics, UC Berkeley, 1987), B.S. (Physics/Mathematics, Oregon State, 1982) Research: Meson spectroscopy, photon-induced reactions, QCD lattice predictions, detector construction (e.g., GlueX Central Drift Chamber) Meyer’s work bridges theory and experiment, leveraging high-speed computing and advanced detectors to explore quark-gluon dynamics. Recent achievements include first GlueX data collection (2014–2017) and collaborations on CLAS and Crystal Barrel experiments. Awards include APS Fellow (2004), Ryan Teaching Award (2008), and leadership roles in NSAC and Jefferson Lab committees. Labs/Teams: GlueX Collaboration, CLAS Analysis Group, Pittsburgh Supercomputing Center (courtesy appointment). Active in detector R&D, computational physics, and QCD theory-experiment synergy.

Guo Qin XuView profile

Professor

• Surface Chemistry
• Nanostructures
• Photocatalysis
• +2 more

Professor Guo Qin Xu is a distinguished academic serving as the Director of the NUS Suzhou Research Institute at the National University of Singapore (NUS). He holds a Ph.D. from Princeton University (1987) and a B.Sc. from Fudan University (1982). His research focuses on surface chemistry, nanostructures, and photocatalysis, with notable contributions to energy storage materials and advanced composites. He currently teaches CM5151 Energy Storage and Conversion Chemistry in AY2024/2025. Professor Xu’s work emphasizes the development of innovative materials for lithium-ion batteries and photocatalytic systems. His recent research highlights include the creation of BaTiO₃/MXene composites to enhance lithium storage efficiency and optimizing LiCoO₂ cathodes for high-voltage applications. His studies often integrate experimental and computational methods to understand material behavior at the nanoscale. He has been recognized with prestigious awards, including the Public Administration Medal (Silver, 2020) and the National Youth Award for Excellence in Science and Technology (1997). His publications span high-impact journals such as Advanced Energy Materials , Nano Energy , and Chemical Communications , reflecting his expertise in interdisciplinary materials science.

• Radiation Dosimetry
• Medical Physics
• Silicon and Organic Electronics
• +4 more

Professor Marco Petasecca is a faculty member at the University of Wollongong (UOW), affiliated with the School of Physics within the Faculty of Engineering and Information Sciences. He holds a Professorship and has been at UOW since 2022, previously serving as Associate Professor (2021–2022). His education includes a PhD in Solid State Physics from the University of Perugia (2002–2005), a Bachelor of Engineering in Electronics (2000–2001), and a Bachelor of Science with Honours in Physics from UOW (2011–2017). Professor Petasecca's research focuses on Radiation Dosimetry , Medical Physics , Organic and Silicon Electronics , and Space Instrumentation . He leads projects in high-resolution dosimetry for radiotherapy, flexible sensors for space radiation monitoring, and organic semiconductor-based detectors. His work bridges medical applications (e.g., proton therapy QA) and space technology (e.g., radiation shielding). Key contributions include developing the 'MagicPlates' silicon detector array and flexible hydrogenated amorphous silicon sensors. He has secured over 47 grants, including major funding from NHMRC, ARC, and ANSTO, totaling millions in research support. Notable grants include the 'BioDosi' project (2024–2027) for proton therapy QA and the 'Space RAdiation Monitoring System' (2023–2026) for space missions. Professor Petasecca is actively involved in academic leadership, organizing workshops like the Microbeam Radiotherapy Symposium (2021) and serving as a member of the Australian Institute of Physics and IEEE. He supervises PhD/Master’s students in topics like in-vivo dosimetry, brachytherapy optimization, and detector development. His lab’s innovations include the '3D-BrachyView' VR QA system and the 'HASPIDe' space radiation sensor project. His recent publications (2023–2025) emphasize flexible organic sensors, proton beam dosimetry, and CMOS circuitry for clinical applications. He is a prolific researcher with over 300 outputs, advancing both theoretical and applied aspects of radiation detection technology.

• Radiation Therapy
• Medical Physics
• Dosimetry
• +3 more

Dean Cutajar is a Lecturer in the School of Physics at the University of Wollongong since 2021. His research focuses on advanced radiation therapy techniques, medical dosimetry, and quality assurance in brachytherapy and MRI-Linac systems. He has contributed to the development of high-resolution dosimetry tools like MagicPlates and MOSkin sensors, enhancing precision in cancer treatment. His work spans HDR and LDR brachytherapy, real-time dosimetry validation, and adaptive radiotherapy strategies for prostate and cervical cancers. Key projects include optimizing source tracking in HDR treatments and improving dosimetric accuracy in complex geometries like MR-Linacs. He has supervised numerous PhD and Master’s students in radiation oncology and medical physics. Research Highlights: Fiber-optic dosimeters, Geant4 benchmarking, in-vivo dosimetry, and MRI-Linac integration. Grants: Led projects funded by NHMRC, AINSE, and the University of Wollongong, totaling over $5M in research support. Dean collaborates internationally on advancing radiation therapy technologies, emphasizing clinical translation and evidence-based treatment planning.

• Radiation Physics
• Dosimetry
• Radon and Thoron Studies
• +5 more

Dragoslav Nikezic is a Full Professor in the Department of Physics at the Faculty of Sciences, University of Kragujevac, Serbia. He holds academic positions since 1991, advancing from Assistant to Full Professor in 2005. His research focuses on radiation physics, radon/thoron dosimetry, Monte Carlo simulations, and radiation protection. He has conducted visiting professorships at the University Autonoma de Barcelona (1994–1995) and research fellowships at the City University of Hong Kong (1998–2006). Education includes a BSc (1976), MSc (1984), and PhD (1990) in Physics from the University of Nis and University of Kragujevac. He has supervised over 20 PhD/MSc students and authored/co-authored hundreds of peer-reviewed articles. His work spans radon diffusion modeling, nuclear track detectors, and environmental radioactivity assessments. Key projects include developing radiation protection software (e.g., RAPTOR-AI) and dosimetry tools for medical applications.