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講師
トゥン・チョ・レン
Tunn Cho Lwin
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出身国
ミャンマー/Myanmar
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学位 分野・取得大学
博士(宮崎大学)/Ph.D.(University of Miyazaki)
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教授分野
数学、統計学、情報学/Mathematics, Statistics, and Informatics
MIUで学びたいあなたへ
At MIU, you will have the opportunity to improve your English while also developing knowledge and skills in statistics and data science. By combining these with your own area of specialization, I believe MIU can provide a strong foundation for your future success.
主な研究課題 Research Topics
Mathematical Modeling, Time Series Forecasting, Big Data Analysis, Data Science and Digital Twin
主な研究業績 Research Achievements
Journal Articles
1. “Advanced Predictive Analytics for Fetal Heart Rate Variability Using Digital Twin Integration,” Sensors 2025, 25, 1469, doi: 10.3390/s25051469.
2. “Enhancing Fetal Monitoring through Digital Twin Technology and Entropy-Based Fetal Heart Rate Variability Analysis,” IJICIC, Vol. 21, No.1, ISSN 1349-4198, pp. 185-196, 2025, doi: 10.24507/ijicic.21.01.185.
3. “A Study on Machine Learning Approaches for Predicting Fetal pH Level Using Fetal Heart Rate Variability”, ICIC Express Letters Part B Applications, Vol. 16, No. 8, pp. 879-886, Aug. 2025, doi: 10.24507/icicelb.16.08.879
4. “A Markov-Dependent stochastic approach to modeling lactation curves in dairy cows,” Smart Agricultural Technology, ISSN 2772-3755, 100335, Vol. 6, 2023, doi: 10.1016/j.atech.2023.100335.
5. “Predicting Calving Time of Dairy Cows by Autoregressive Integrated Moving Average (ARIMA) Model and Exponential Smoothing Model,” ICIC Express Letters, Part B: Applications, Vol. 14, No. 1, 2023, doi: 10.24507/icicelb.14.01.73.
International Conference Proceeding Papers
1. “Advancing Neonatal Monitoring Using Heart Rate Variability with Machine Learning Models”, The 17th International Conference on Smart Vehicular Technology, Transportation, Communication and Applications (VTCA 2025), Fuzhou, Fujian, China, Nov. 2025.
2. “Digital Cattle Twins: Revolutionizing Calving Management Through Markovian Prediction Systems”, The Seventh International Conference on Smart Vehicular Technology, Transportation, Communication and Applications (VTCA 2025), Fuzhou, Fujian, China, Nov. 2025.
3. “Markovian Digital Twins for Precision Healthcare: A Conceptual Framework”, The 17th International Conference on Genetic and Evolutional Computing (ICGEC-2025), Fuzhou, China (Hybrid), Dec. 2025.
4. “Machine Learning-Based Classification of Umbilical Cord Blood Gas Using Fetal Heart Rate Variability,” 2025 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW), Kaohsiung, Taiwan, 2025, pp. 117-118, doi: 10.1109/ICCE-Taiwan66881.2025.11208140.
5. “Optimizing Network Message Regulations Using AI-Enhanced Dynamic Programming Methods,” 2025 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW), Kaohsiung, Taiwan, 2025, pp. 121-122, doi: 10.1109/ICCE-Taiwan66881.2025.11208087.
6. “Enhancing Fetal Heart Rate Monitoring Through Digital Twin Technology,” 2024 IEEE Gaming, Entertainment, and Media Conference (GEM), Turin, Italy, 2024, pp. 1-4, doi: 10.1109/GEM61861.2024.10585542.
7. “Evaluating Imputation Strategies for Handling Missing Data: A Comparative Study,” 2023 IEEE 12th Global Conference on Consumer Electronics (GCCE), Nara, Japan, 2023, pp. 508-509, doi: 10.1109/GCCE59613.2023.10315259.
8. “Predicting Calving Time of Dairy Cows by Exponential Smoothing Models,” 2020 IEEE 9th Global Conference on Consumer Electronics (GCCE), Kobe, Japan, 2020, pp. 322-323, doi: 10.1109/GCCE50665.2020.9291903.
Non-Refereed Papers
1. “Bridging Fetal Monitoring and Umbilical Cord Blood Gas Parameter Prediction: A supervised learning approach using fetal heart rate variability”, 画像工学研究会 (IE), 開催場所：北海道科学大学、北海道, Sep. 2025
2. “マハラノビス距離を用いた胎児心拍変動の定量的評価とpH分類,” 第26回日本知能情報ファジィ学会九州支部学術講演会, 2024.
3. “Predicting Calving Time of Dairy Cows by Time Series Model,” 宮崎大学工学部紀要, Vol. 50, pp. 87-94, 2021.
Patent （特許）
1. 「臍帯血ガスパラメータとFHRVパターンとの関係」、整理番号:J76569A1、特願2026-01248、提出日：令和8年1月28日
Research Grant Award (研究助成)
1. 公益財団法人電気通信普及財団 技術分野（40周年記念枠）
研究調査テーマ名：情報通信技術とデジタルツインを融合したAI駆動型胎児健康管理システム
https://www.taf.or.jp/files/2225/243996211.pdf
担当授業科目 Courses Taught
DLAI109 Introduction to Statistics(統計学入門)
DLAI301 Research Method 1: Data Collection(研究法Ⅰデータ収集)
DLAI302 Research Method 2: Data Analysis(研究法Ⅱデータ分析)
所属学会 Associations
Mathematical Society of Myanmar
