Talks and presentations
December 2025: “Large Scale Earth Observation”, BigAI for BigGIS course, Indian Institute of Remote Sensing (IIRS), Indian Space Research Organization (ISRO).
December 2025: “Introduction to Self-supervised Learning and MMEarth”, BigAI for BigGIS course, Indian Institute of Remote Sensing (IIRS), Indian Space Research Organization (ISRO).
December 2025: “Large Scale Earth Observation”, Representation Learning for Earth Observation (REO) workshop @ Eurips 2025.
September 2025: “MMEarth: Exploring Multi-Modal Pretext Tasks For Geospatial Representation Learning”, Pioneer Centre for AI (P1).
April 2025: “AI In Research and Teaching”, IGNDay 2025 at KU.
October 2024: “Emissions and uncertainties”, Digital Tech Summit 2024.
October 2024: “Deep learning for earth observation”, RISE, Sweden.
March 2024: “Sustainability from space: mapping individual trees and carbon using AI”, Winter Meeting, COMPUTE Research School and AI Lund, University of Lund.
March 2024: “Deep learning for mapping individual trees and carbon-stocks”, FoodDay 24: Plantebaserede pionerer, University of Copenhagen.
April 2023, Invited talk at Modeling Talk Series along with Tucker Compton, Martin Brandt, and Pierre Hiernaux on “Sub-continental-scale carbon stocks of individual trees in African drylands”
March 2022: Invited talk at the Workshop on Climate and Conservation at Opening of the Pioneer Centre for AI on “Continental scale tree mapping and biomass estimation: Challenges and learning”.
August 2021: Paper presentation at SOUPS 2021: “Understanding user-belief about the privacy threats of browser extensions”
March 2021: Invited talk at the Science AI Centre, University of Copenhagen on “An unexpectedly large count of trees in the West African Sahara and Sahel”. AI Seminar series.
February 2021: Invited talk at 25th Meetup Data Science Darmstadt on “Deep Learning for Segmenting Individual Trees at very large Scales”.
November 2020: Paper presentation at MUM 2020: “MoiPrivacy: Design and evaluation of a Personal Password Meter”.
August 2020: Invited talk on “Machine learning for detection of individual trees at a very large scale”. ACM Online Guest Lecture at BVCOE.
July 2019: Invited talk on “Introduction to Deep Learning and Convolutional Neural Networks”. COW ’19: Caylus Oustanding Workshop 2019.
April 2018: Paper presentation at CHI’18: “Defining and Predicting the Localness of Volunteered Geographic Information using Ground Truth Data”.