PGR seed corn projects

See below for a list of previous postgraduate researcher seed corn projects funded by the JGI:

**2023/2024**
Applied Machine Learning for Flint Classification in Archaeology	Ruinan Wang
MagMap – Accurate Magnetic Characteristic Mapping Using Machine Learning	Binyu Cui
Unveiling Hidden Musical Semantics: Compositionality in Music Ngram Embeddings	Zhijin Guo

**2022/2023**
An exploration of how children want to view their health data	Sydney Charitos & Lauren Thompson
Large-sample evaluation of deep learning and optical flow algorithms in nowcasting radar rainfall events identified by information theory and hydrographs	Jiao Wang & Ahmed Mohamed
Making sea ice thickness maps in the Canadian Arctic operationally available	Isolde Glissenaar
Machine learning based online discourse analysis of mental health and medication use	Holly Fraser
Data Augmentation for Relational-Temporal Characteristics of High Return Stock via a Graph Neural Network-based Generation Methodology	Henry You

**2021/2022**
Super-resolution microscopy and deep learning: how low can we go?	Abdelwahab Kawafi
Performance evaluation of a deep learning algorithm in radar-based rainfall nowcasting	Ahmed Mohamed
Exploiting the deep learning technique to study a novel nano-modified polymer composite	Anuradha Kamble
An automated deep learning pipeline for mapping Antarctic grounding zone from ICESat-2 laser altimetry	Tian Li

**2019/2020**
Applying deep learning and high resolution satellite imagery to estimate income at the urban neighbourhood level	Thomas Statham
Modelling Mobility Trajectories: Exploring individuals spatial behaviour and assessing the trend of the Bristol's population spatial interaction	Lenka Hasova
Evolutionary System for personalized wellbeing recommendations, A food and physical activity data-driven user study	Hugo Herrera
Real-time, On-Board Robot Assesment of In-the-Wild Child Social Dynamic for supporting education	Katie Winkle
Optimization of ultra-thin radiation resistant compostites structures for space applications	Mayra Lopez
Agglomerative Hierarchical Clustering Method for Identifying valid Instruments and Hetergenous Casual Effects with Applications in Genetic Epidemiology and International Economics	Xiaoran Liang