Dibyajyoti Biswal

Dibyajyoti Biswal has extensive experience in engineering and research roles. Dibyajyoti is currently working at Oshkosh Corporation as a Principal Engineer, where they have spearheaded the development and deployment of SOC and SOH models for battery health monitoring. Dibyajyoti has also engineered a video compression algorithm that significantly reduces data transfer time to the cloud. Previous to this role, Dibyajyoti worked as a Machine Learning Scientist at Eurofins PSS Insourcing Solutions. Dibyajyoti has a PhD in Engineering and during their studies at the University of Kentucky, they replaced work processes built in MATLAB with Python, leading to a 70% reduction in processing time for video footage and analysis. Additionally, Dibyajyoti designed an API for facial landmark detection and automated their paper search through web-scripting and NLP. Dibyajyoti has also worked as a Graduate Teaching Assistant at the National Institute of Technology Rourkela, where they co-designed curriculums, taught courses, and enforced lab safety regulations.

Dibyajyoti Biswal completed a Master of Technology (M.Tech.) in Biomedical/Medical Engineering from the National Institute of Technology Rourkela from 2013 to 2015. They also obtained a Bachelor of Technology (B.Tech.) in Electrical and Electronics Engineering from the Gandhi Institute for Technological Advancement from 2008 to 2012. Dibyajyoti Biswal then pursued a Doctor of Philosophy (PhD) in Biomedical/Medical Engineering from the University of Kentucky from 2016 to 2021. Additionally, they have obtained multiple certifications in various subjects, including Python for data science, biomedical image analysis in Python, and data science orientation.