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Christiana Subaar

Physics

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About

Dr. Christiana Subaar is a Senior Lecturer in the Department of Physics at Kwame Nkrumah University of Science and Technology (KNUST), where she specializes in Medical Physics and Nuclear Science and Technology. With an illustrious academic background, including a Ph.D. in Health and Radiation Physics, an M.Phil. in Medical Physics, and a BSc in Applied Physics, Dr. Subaar brings over two decades of expertise in teaching STEM disciplines. Her pedagogical approach is centered on student empowerment and nurturing a passion for learning.Dr. Subaar's research endeavors are focused on enhancing radiation safety, with a particular emphasis on optimizing pediatric radiation doses in computed tomography (CT) and digital radiography examinations within the Ghanaian context. Her expertise encompasses a broad spectrum of areas, including radiation safety, pathophysiology, Magnetic Resonance Imaging, Radiation Dosimetry and Radiation Therapy. Throughout her career, Dr. Subaar has demonstrated a remarkable ability to develop innovative curricula, mentor students effectively, and produce well-rounded graduates who are poised to make meaningful contributions to the fields of Medical Physics and Nuclear Science and Technology.

Research Summary

(inferred from publications by AI)

The researcher has made significant contributions across various disciplines within physical sciences, including AI in cancer detection, climate data analysis, soil and water pollution studies, radiation dose evaluation, and reading and literacy development. Their work also extends into medical imaging techniques like mammography, digital radiography phantoms, advanced therapies, and radon monitoring. Each of these themes reflects a comprehensive approach to advancing knowledge and applications across different scientific domains.

Research Themes

All Papers

Investigating the detection of breast cancer with deep transfer learning using ResNet18 and ResNet34(2024)
Author response for "Investigating the Detection of Breast Cancer with Deep Transfer Learning Using Resnet18 and Resnet34"(2024)
Author response for "Investigating the Detection of Breast Cancer with Deep Transfer Learning Using Resnet18 and Resnet34"(2024)
Author response for "Investigating the Detection of Breast Cancer with Deep Transfer Learning Using Resnet18 and Resnet34"(2024)
Time Series Analysis for Prediction of Meteorological Data from Wa, Upper West Region of Ghana(2018)
Determination of Heavy Metals Pollution in Soil and Tree Rings along Haatso- Atomic Road in Ghana(2022)
Paediatric computed tomography diagnostic reference levels in Africa: A systematic review(2024)
Proposed Institutional Diagnostic Reference Levels in Computed and Direct Digital Radiography Examinations in Two Teaching Hospitals(2023)
Towards the Solution of Abysmal Performance of Fraction in Navrongo Presbyterian Primary School: Comparing the Sets of Objects and Paper Folding Designed Interventions(2018)
Numerical studies of temperature changes in adult and paediatric patients in brain magnetic resonance imaging(2019)
Review of: "Dose Reduction in Medical Radiography: Advancing Veterinary Diagnostic Solutions"(2024)
Numerical simulation in magnetic resonance imaging radiofrequency dosimetry(2024)
Development of Breast Phantom for Clinical Simulation and Educational Purposes(2024)
Assessment of Photon Beam Parameters of the Varian Clinac IX Linear Accelerator(2024)
The impact of radionuclides on water consumption in some water samples in the Ashanti Region, Ghana(2025)

Collaboration Network

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About This Profile

This profile is generated from publicly available publication metadata and is intended for research discovery purposes. Themes, summaries, and trajectories are inferred computationally and may not capture the full scope of the lecturer's work. For authoritative information, please refer to the official KNUST profile.