Naomi Simumba

Title

Research Scientist

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

An Introduction to Geospatial Foundation Model
- - Daiki Kimura
  - Naomi Simumba
  - et al.
- 2024
- JpGU 2024
SAR2NDVI: Pre-training for SAR-to-NDVI Image Translation
- - Daiki Kimura
  - Tatsuya Ishikawa
  - et al.
- 2024
- ICASSP 2024
Sandwiched Lo-res Simulation for Scalable Flood Modeling
- - Refaldi Intri Dwi Putra
  - Tatsuya Ishikawa
  - et al.
- 2024
- ICASSP 2024
Satellite Image Analysis by Pre-training Network
- - Daiki Kimura
  - Tatsuya Ishikawa
  - et al.
- 2024
- IPSJ 2024
TensorBank: Tensor Lakehouse for Foundation Model Training
- - Romeo Kienzler
  - Johannes Schmude
  - et al.
- 2023
- Big Data 2023
Area Sampling for Training Geospatial Foundation Models
- - Daiki Kimura
  - Naomi Simumba
  - et al.
- 2023
- AGU Fall 2023
Data Leakage in Applying Geospatial Foundation Models
- - Michiaki Tatsubori
  - Naomi Simumba
  - et al.
- 2023
- AGU Fall 2023
Pre-trained and Fine-Tuning for Satellite Image-to-Image Translation
- - Daiki Kimura
  - Tatsuya Ishikawa
  - et al.
- 2023
- IJCAI 2023
Winning a Competition of Satellite Image Analysis
- - Daiki Kimura
  - Tatsuya Ishikawa
  - et al.
- 2023
- MIRU 2023
On Image-to-image Translation from Sentinel-1 SAR to Indices derived by Sentinel-2
- - Tatsuya Ishikawa
  - Daiki Kimura
  - et al.
- 2023
- JpGU 2023

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Top collaborators

Daiki Kimura

Senior Account Technical Leader for Government

Paolo Fraccaro

Senior Research Scientist in AI

Mich Tatsubori

Senior Technical Staff Member, IBM Japan

Daniela Szwarcman

Research Scientist