• Constructing a graphical user interface to facilitate oblique multi-planar reconstruction of cardiac CT images using the Visualization Toolkit software.• Leading the verification and validation team to ensure minimal discrepancies in product results across different software versions.• Developing a technique to assure precise multi-planar reconstruction alignment for left-ventricle cardiac assessment.• Creating an innovative 3D visualization method for in-depth investigation of cardiac changes over a single heartbeat.• Contributing to the development of FDA and ISO regulated software.

• Spearheaded the acceleration of non-rigid 3D point cloud registration through GPU parallelization using the CUDA platform, resulting in a 90% reduction in computation time.• Developed tools for direction and pose detection of micro-robots on prototype photon-counting CT systems.• Conducted experiments exploring beam hardening artifacts in photon-counting CT systems.• Worked with dynamic cardiac phantoms to quantify motion artifacts using both prospective and retrospective ECG gating on prototype photon-counting CT systems.• Designed and produced over 100 custom 3D printed phantoms for use with various CT systems for three different vendors, including models such as coronary artery calcifications, calcified cardiac stents, tumor vascularization, lung airways, and contrast-enhanced ventricles.

• Developed an intuitive graphical user interface empowering radiologists in the precise scoring and quantification of coronary artery calcifications.• Engineered a deep neural network adept at recognizing and mitigating motion artifacts in CT images, enhancing diagnostic accuracy.• Compiled a database of published data on bodily motions.• Analyzed virtual mono-energetic images from three different vendors.• Developed a neural network using over 500 3D images to predict coronary artery calcification and its location.• Implemented a pediatric eye dose estimation approach using neural networks and cranial CT scans with over 200 3D images.

• Enhanced a generalized approach to optimize the detector response functions in Monte-Carlo simulations.• Expanded the Library Least Squares technique to effectively manage ill-conditioned input, improving its adaptability and robustness.• Developed a methodology for generating neutron-induced prompt gamma elemental libraries using MCNP for oil well logging applications.• Conducted laboratory experiments that investigated spectral responses to diverse combinations of shielding materials for inverse analysis techniques.