Naomi Simumba

Overview

Title

Research Scientist

Location

IBM Research - Tokyo Tokyo, Japan

Bio

Naomi Simumba is a Research Scientist at the IBM Research Tokyo Reseach Lab with an MEng and a PhD in Systems Engineering. Her current focus is on the research and development of AI for geospatial applications.

Publications

Towards Multi Modal Geospatial Foundation Models With Multiple Resolutions
- - Naomi Simumba
  - Johannes Jakubik
  - et al.
- 2024
- AGU 2024
Global Area Sampling for Geospatial Foundation Model
- - Daiki Kimura
  - Naomi Simumba
  - et al.
- 2024
- AGU 2024
Predicting NDVI from SAR images toward Above Ground Biomass Estimation
- - Daiki Kimura
  - Tatsuya Ishikawa
  - et al.
- 2024
- AGU 2024
Fine-tuning of Geospatial Foundation Models for Aboveground Biomass Estimation
- - Michal Muszynski
  - Levente Klein
  - et al.
- 2024
- KDD 2024
Geospatial Foundation Model by Diversified Data
- - Daiki Kimura
  - Naomi Simumba
  - et al.
- 2024
- MIRU 2024
Geospatial Sampling by Maximizing Information Entropy
- - Daiki Kimura
  - Naomi Simumba
  - et al.
- 2024
- IGARSS 2024
TOWARDS EFFICIENT SATELLITE DATA REPRESENTATION LEARNING WITH CONSISTENCY LOSS
- - Naomi Simumba
  - Daiki Kimura
  - et al.
- 2024
- IGARSS 2024
An Introduction to Geospatial Foundation Model
- - Daiki Kimura
  - Naomi Simumba
  - et al.
- 2024
- JpGU 2024
Sandwiched Lo-res Simulation for Scalable Flood Modeling
- - Refaldi Intri Dwi Putra
  - Tatsuya Ishikawa
  - et al.
- 2024
- ICASSP 2024
SAR2NDVI: Pre-training for SAR-to-NDVI Image Translation
- - Daiki Kimura
  - Tatsuya Ishikawa
  - et al.
- 2024
- ICASSP 2024

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Top collaborators

Daiki Kimura

Senior Research Scientist & Manager / Master Inventor

Mich Tatsubori

Senior Technical Staff Member, GM Office, IBM Japan

Paolo Fraccaro

Senior Research Scientist in AI

Daniela Szwarcman

Research Scientist