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Other IDs

Scopus Author ID: 57221531880
SciProfiles: 4192382

Keywords

Probability and Statistics, Mathematical Modeling, Big Data Analysis, Digital Twin Technology

Countries

Japan, Myanmar [Burma]

Biography

I hold a Bachelor's and a Master's degree in Mathematics from the University of Yangon, Myanmar, where I also had the opportunity to study as an exchange student at Ateneo de Manila University, focusing on Mathematics during my undergraduate studies.

Later, I earned a Master of Engineering from the University of Miyazaki, Japan, where my research centered on developing mathematical prediction models for calving time in dairy cows.

Professionally, I served as an actuarial analyst at AIA Myanmar Insurance Company, applying mathematical modeling in the insurance field. Currently, I am a PhD candidate at the University of Miyazaki, conducting research in fetal heart rate variability analysis through advanced mathematical approaches, artificial intelligence, and digital twin technology. My work aims to enhance fetal monitoring systems for improved prenatal care.

Activities

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Employment (2)

AIA Myanmar: Yangon, MM

2022-02-01 to 2022-09-16 | Actuarial Analysts (Department of Finance)
Employment
Source: Self-asserted source
Tunn Cho Lwin

University of Yangon: Yangon, MM

2018-12-18 to 2021-01-31 | Tutor (Department of Mathematics)
Employment
Source: Self-asserted source
Tunn Cho Lwin

Education and qualifications (4)

University of Miyazaki: Miyazaki, JP

2023-04-01 to present | PhD Candidate (Department of Materials and Informatics, Interdisciplinary Graduate School of Agriculture and Engineering)
Education
Source: Self-asserted source
Tunn Cho Lwin

University of Miyazaki: Miyazaki, JP

2019-10-01 to 2020-09-28 | Master of Engineering (Department of Materials and Informatics, Graduate School of Engineering)
Education
Source: Self-asserted source
Tunn Cho Lwin

University of Yangon: Yangon, MM

2018-12-01 to 2020-09-01 | Master of Science (Department of Mathematics)
Education
Source: Self-asserted source
Tunn Cho Lwin

University of Yangon: Yangon, MM

2013-12-01 to 2018-09-01 | Bachelor of Science (Hons.) (Department of Mathematics)
Education
Source: Self-asserted source
Tunn Cho Lwin

Professional activities (2)

SOFT Kyushu Branch: Kumamoto, Kumamoto, JP

2024-12-21 | Student Outstanding Presentation Award
Distinction
Source: Self-asserted source
Tunn Cho Lwin

University of Miyazaki: Miyazaki, JP

2024-11-05 | The Best Presentation Award (President's Award) (Materials and Informatics)
Distinction
Source: Self-asserted source
Tunn Cho Lwin

Works (5)

Advanced Predictive Analytics for Fetal Heart Rate Variability Using Digital Twin Integration

Sensors
2025-02 | Journal article | Author
DOI: 10.3390/s25051469
Contributors: Tunn Cho Lwin; Thi Thi Zin; Pyke Tin; Emi Kino; Tsuyomu Ikenoue
Source: check_circle
Multidisciplinary Digital Publishing Institute

Enhancing Fetal Heart Rate Monitoring Through Digital Twin Technology

2024 IEEE Gaming, Entertainment, and Media Conference, GEM 2024
2024 | Conference paper
DOI: 10.1109/GEM61861.2024.10585542
EID:

2-s2.0-85199540118

Part of ISBN: 9798350374537
Contributors: Lwin, T.C.; Zin, T.T.; Tin, P.; Ikenoue, T.; Kino, E.
Source: Self-asserted source
Tunn Cho Lwin via Scopus - Elsevier

A Markov-Dependent stochastic approach to modeling lactation curves in dairy cows

Smart Agricultural Technology
2023 | Journal article
DOI: 10.1016/j.atech.2023.100335
EID:

2-s2.0-85173745364

Part of ISSN: 27723755
Contributors: Zin, T.T.; Htet, Y.; Lwin, T.C.; Tin, P.
Source: Self-asserted source
Tunn Cho Lwin via Scopus - Elsevier

Evaluating Imputation Strategies for Handling Missing Data: A Comparative Study

GCCE 2023 - 2023 IEEE 12th Global Conference on Consumer Electronics
2023 | Conference paper
DOI: 10.1109/GCCE59613.2023.10315259
EID:

2-s2.0-85179756314

Part of ISBN: 9798350340181
Contributors: Lwin, T.C.; Chain Tun, S.; Tin, P.; Zin, T.T.
Source: Self-asserted source
Tunn Cho Lwin via Scopus - Elsevier

Predicting calving time of dairy cows by exponential smoothing models

2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020
2020 | Conference paper
DOI: 10.1109/GCCE50665.2020.9291903
EID:

2-s2.0-85099359468

Part of ISBN: 9781728198026
Contributors: Lwin, T.C.; Zin, T.T.; Tin, P.
Source: Self-asserted source
Tunn Cho Lwin via Scopus - Elsevier
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