1680 East-West Rd, Post 314-6
Honolulu, Hawaii 96822 USA
808-476-2232
Deep learning (Deep Active Learning, NLP, Computer vision), Software engineering (react.js, Meteor, Flask), Start ups
Languages and Frameworks: Python, Pytorch, Tensorflow, React.js, C++, Meteor
Toolsets/OS: Windows, Linux, Git/GitHub
University of Hawaii, Honolulu, HI
Ph.D., Computer Science
2021 - Present
University of Hawaii, Honolulu, HI
M.S, Computer Science
2019 - 2021
University of Pretoria, South Africa
M.S., Data science
2017 - 2019
Data Science Lead, The Shard - South Africa
Tecnical client engagements, Project Scoping, Research, Architecture Design, Overseeing Implementation
2022 - 2022
Graduate Research Fellow, Hawaii Data Science Institute - University of Hawaii
datascience.hawaii.edu/students/fellows/
Using Computer vision and Deep learning methods to help improve marine life preservation efforts.
2020 - 2022
Summer Research Assistant, UH Manoa ICS
Using Computer vision and Deep learning methods to help improve marine life preservation efforts.
2020 - 2020
Teaching Assistant, UH Manoa
I assist students during my office hours, set up assignments, recitations, grade assignments and projects
2019 - Curr
Credit risk data analyst, Vodacom South Africa
2015 - 2017
GCI-ViTAL: Gradual Confidence Improvement with Vision Transformers for Active Learning on Label Noise, Mots'oehli .M, Baek. K, TBS (To be submitted), 2024
FishNet: Deep Neural Networks for Low-cost Fish Stock Estimation, Mots'oehli .M, Nikolaev .A, IGede .W.B, Lynham .J, Mous .P.J, Sadowski .P, ACM International Conference on Multimedia and Image Processing (ICMIP 2024)(Submitted), 2024
Comparision of Adversarial and Non-adversarial LSTM Music Generative Models, Mots'oehli .M, Bosman. A, De Villiers .JP, Science and Information (SAI) Conference 2023 (Springer), page 428., 2023
https://link.springer.com/chapter/10.1007/978-3-031-37717-4_28
PuoBERTa: Training and evaluation of a curated language model for Setswana, Marivate .V, Mots’Oehli .M, Wagnerinst .V, Lastrucci .R, Dzingirai .I,Southern African Conference for Artificial Intelligence Research (SACAIR 2023), 2023
Deep Active Learning in the Presence of Label Noise: A Survey, Mots'oehli .M, Baek. K, Ph.D. Literature Review, 2023
Public Parking Spot Detection and Geo-localization Using Transfer Learning, Mots'oehli .M, Yang .Y, Proceedings of the 3rd Southern African Conference for Artificial Intelligence Research (SACAIR 2022), page 109, 2022
Available upon request