Summary
Jose Delpiano is an Associate Professor and computer vision researcher with nine years of focused experience applying computational intelligence to motion analysis, optical flow estimation, and object tracking, particularly within biological, bioprocess, and precision agriculture contexts. He holds a PhD in Electrical Engineering (Computer Vision) and has combined long-term academic roles at the University of the Andes with visiting positions at leading UK labs, translating theoretical methods like genetic algorithms, CNNs, and transfer learning into domain-focused classification and segmentation solutions. His work bridges fundamental vision problems and applied challenges in agriculture and life sciences, reflecting a pragmatic orientation toward real-world data and experimental systems. Known for cross-institutional collaborations and sustained research activity in Chile, he brings both deep methodological knowledge and a proven track record of adapting advanced models to specialty imaging tasks.
9 years of coding experience
7 years of employment as a software developer
BSc in Electrical Engineering, BSc in Electrical Engineering at Pontificia Universidad Católica de Chile
PhD in Electrical Engineering, Computer Vision, PhD in Electrical Engineering, Computer Vision at Universidad de Chile
German