Summary
Ovi Paul is a research-focused engineer with nine years of experience bridging machine learning, geosensing, and airborne lidar research. Currently a Graduate Research Assistant at the National Center for Airborne Laser Mapping and a reviewer for the International Journal of Applied Earth Observation and Geoinformation, he applies ML techniques to remote sensing problems and peer-reviews advances in the field. His background includes industry experience as a machine learning engineer and research roles in computational data sciences and AI labs, giving him a pragmatic mix of applied and theoretical skills. Ovi is pursuing a PhD in Geosensing System Engineering & Sciences at the University of Houston, building on a BSc in Computer Science & Engineering from Independent University, Bangladesh. He is comfortable moving between academic publishing and product-oriented ML development, often translating complex sensor data into actionable insights. Colleagues note his knack for connecting domain knowledge in earth observation with robust computational methods.
9 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Geosensing System Engineering & Sciences, Doctor of Philosophy - PhD, Geosensing System Engineering & Sciences at University of Houston
St. Joseph Higher Secondary School
Bachelor in Science - BSc, Computer Science & Engineering, Bachelor in Science - BSc, Computer Science & Engineering at Independent University, Bangladesh