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

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
Adapting Transfer Learning for Multiple Channels in Satellite Data Applications
- - Naomi Simumba
  - Michiaki Tatsubori
- 2023
- EGU 2023
A Programming Model for Geospatial Machine-Learning with Scalability in Hybrid Multiclouds
- - Michiaki Tatsubori
  - Daiki Kimura
  - et al.
- 2023
- EGU 2023
Towards Accelerated Discovery Services for Geospatio-temporal Foundation Models
- - Michiaki Tatsubori
  - Takao Moriyama
  - et al.
- 2022
- AGU Fall 2022
Spatially and semantically diverse points extraction using hierarchical clustering
- - Naomi Simumba
  - Satoshi Masuda
  - et al.
- 2021
- LocalRec 2021

Visit Google Scholar

Top collaborators

Mich Tatsubori

STSM & Manager, Neuro-Symbolic AI / Climate & Sustainability

Daiki Kimura

AI Research Scientist / Master Inventor

Takao Moriyama

Neuro-Symbolic AI, IBM Research - Tokyo

Blair Edwards

STSM - Climate & Sustainability - Geospatial Data and Modelling