Senior Research Scientist / August, 2020 — August, 2023

 Designed an automatic system to recognize and extract aortic tissues in abdominal aortic aneurysms (AAAs) using deep learning models. A patent application was filed for this study in February 2020.  Developed an automated system for pre-interventional planning and post-interventional monitoring of endovascular aortic repair using machine learning and deep learning models. A patent application was submitted for this study in October 2021.  Designed a machine learning-based model to incorporate image information into AAA growth prediction. A patent application was filed for this study in October 2022.

Research Assistant / June, 2019 — August, 2020

 Analyzed intraluminal coronary arteries, including the automatic detection of red thrombus, white thrombus, and residual blood.  Quantified the coronary arterial wall by automatically detecting pathological tissues, particularly calcification, macrophage accumulation, neovascularization, atheroma, lipid, and endothelial fibrosis, to prevent cardiac adverse events.

Postdoctoral fellow / June, 2018 — June, 2019

 Created a computer-aided diagnostic framework that provides clinicians with operator-independent diagnoses of histological coronary lesions.  Conducted volumetric assessments of different coronary artery tissues to evaluate their dynamics and functionality.  Estimated the elasticity of coronary artery tissues affected by coronary artery disease (CAD) to assess the dynamics and functionality of the arterial wall.

Project management and commercialization / May, 2019 — December, 2019

 Identified the optimal strategy and partners for leveraging innovative technology.  Implemented technology diffusion across various applications in the OCT market, accompanied by a licensing model tailored to market response.  Initiated collaborations with OCT system providers to achieve greater market integration.

Adjunct professor / January, 2009 — June, 2012

 Taught undergraduate physics to over 100 students, utilizing self-developed teaching materials.  Supervised final course projects and laboratory training.  Designed field assignments and final exams.  Provided group and individual training to students for problem-solving and study skills in mathematics and physics.