Career Profile
an applied mathematician with over 5 years of experience specializing in computational imaging. significantly contributed to the development of atomic-resolution imaging and dynamic object imaging. Proficient in Python, MATLAB, C++, and scientific computing, with expertise extends to areas such as X-ray tomography, electron microscopy, and 3D reconstruction.
Experiences
As a post-doctoral researcher, I’m involved in
- Advancing atomic-resolution imaging via novel electron tomography techniques, significantly impacting drug-delivery \& pharmaceutics
- Mentoring 5 postgrad researchers in using cutting-edge computational tools for discovering novel phenomena using electron microscopy
Led the design of an efficient, time-resolved 3D algorithm for dynamic object imaging, enhancing X-ray tomography capabilities
In this role, I was involved in multiple roles
- Initiated and developed an innovative shape-sensing framework that revolutionized earth exploration, adopted for implementation in Shell’s North Sea project, delivering unprecedented detail and accuracy
- Devised pioneering convex programs for NP-hard problems discrete \& single-shot X-ray tomography for scientific applications
- Demonstrated exceptional communication skills and expertise through the delivery of 12 invited talks, 15 oral presentations, and 8 poster exhibitions, disseminating complex scientific findings to diverse audience
Developed a predictive platform to identify non-toxic alternatives in manufacturing units, promoting safer industrial processes
Developed an inverse scattering framework to enhance underground radar systems, improving industrial pipe infrastructure analysis