I am a Computer Science Master’s Graduate, specialising in Computer Vision and Remote Sensing.
During my time at VIMS Lab at the University of Delaware, my research focused on the development of novel algorithms for the fine-scale motion analysis of Arctic sea ice from remote sensing data, using both traditional Computer Vision techniques and a Machine Learning approach.
My research interests and expertise include Computer Vision, remote sensing and spatial data analysis for environmental monitoring.
Oct 2020 - Feb 2023
SIDEx (Sea Ice Dynamics Experiment)
I designed and developed a novel Computer Vision algorithm for Arctic sea ice analysis (the final algorithm achieves best known spatial resolution and accuracy in motion estimation of sea ice at time of publication).
During the expedition, I also performed real-time monitoring and tracking of weather and sea ice activity for daily updates to the team in the field.
See some of my results here and here.
Oct 2019 - Nov 2019
SCALE (Southern Ocean Seasonal Experiment)
I went on a six week expedition to Antartica aboard the S.A. Agulhas II as part of the sea ice core extraction and sea ice observations teams.
I designed, developed and deployed an integrated and calibrated hardware and software stereo camera and IMU system for acquiring sea ice data from the ship.
See more on my work here.
2020 - 2023: University of Delaware, USA
Master’s in Computer Science
Specialisation in Computer Vision & Remote Sensing, GPA: 4.0
2016 - 2020: University of Cape Town, ZA
Bachelor’s in Engineering
Specialisation in Computer & Electrical Engineering, First Class Honours
2018 - 2019: Zaio, Online
React Front End Web Development
Short Course
2012 - 2015: University of Cape Town, ZA
Bachelor’s in Architecture
With automatic acceptance into honours
Kelsey Kaplan and Chandra Kambhamettu. “A Novel Methodology for High-Resolution Sea Ice Motion Estimation”, IAPR Workshop on Pattern Recognition in Remote Sensing (PRRS), August 2022.
Rohit Venkata Sai Dulam, Kelsey Kaplan, and Chandra Kambhamettu. “Deep Learning-based Sea Ice Lead Detection from WorldView and Sentinel SAR Imagery”, IAPR Workshop on Pattern Recognition in Remote Sensing (PRRS), August 2022.