Arjumand Younus
Arjumand Younus is currently working as a postdoctoral researcher at CONSUS in University College Dublin for a massive government-funded project on data-driven agriculture for Ireland. Before that, she was part of the Recommender Systems group at Insight Centre for Data Analytics in University College Dublin. She is also an active member of Women in Research Ireland which is a not-for-profit organisation working to further the cause of minorities and underrepresented groups within research circles of Ireland. Furthermore, she is also the co-founder of the Dublin chapter of Women in Machine Learning and Data Science while is also actively involved with the Python Ireland community. She has a passion for projects belonging to the theme of data science for social good. She is the recipient of Google Women Techmakers scholarship for Europe, Middle East and Africa region. She completed her PhD in Computer Science in 2015 jointly from the National University of Ireland, Galway and University of Milano-Bicocca, Italy; and her Masters in Computer Science from KAIST, South Korea.
Talks
Improved Crop Yield Prediction through Spatio-Temporal Analysis of Agricultural Data
Precision agriculture has seen a remarkable progress over the last decade or so with its primary goal being accurate prediction of crop yield. This talk provides an overview of efforts in SFI's funded project CONSUS whereby agricultural data obtained from a commercial agronomy service company is used to derive significant insights for crop yield prediction.