University of Science and Technology Chittagong

+880 1810 097025

+880 1810 097026

Masuda Begum Sampa

Dr. Masuda Begum Sampa

Faculty of Science, Engineering & Technology


With demonstrated experience in analyzing consumer (remote healthcare consumer and ethical consumer) behavior, handling statistical data, big data and clinical data with various statistical tools, and machine learning algorithms. Worked as a post-doctoral researcher at Kyushu Institute of Technology to develop new drug by using deep learning techniques. Worked as a Principal Investigator (PI) of an international research project aiming to ensuring quality healthcare services to the unreached community. Have experience of working with researchers with diverse backgrounds from around the world. Research on Machine Learning and Artificial Intelligence (AI) at NIC4IR aims to develop and promote technologies that can directly solve social problems and improve the society.


  • Ph.D. in Information Science, Kyushu University, Japan
  • M.S. in Environmental Economics, Kyushu University, Japan
  • M.Sc. in Statistics, Jahangirnagar University, Bangladesh
  • B.Sc. (Hons.) in Statistics, Jahangirnagar University, Bangladesh

Program Affiliated

  • Bachelor (Hons.) of Computer Science, and National Professor Dr. Nurul Islam Centre for Fourth Industrial Revolution (NIC4IR)

Areas of Interest

  • Machine Learning
  • Deep Learning
  • Telemedicine
  • Data Science
  • Database Management Systems
  • Numerical Algorithms

Courses Taught

  • Database Management Systems
  • Numerical Analysis
  • Statistics and Probability Distribution

Journals & Articles

  • Blood Uric Acid Prediction with Machine Learning: Model Development and Performance Comparison – Masuda Begum Sampa, Md. Nazmul Hossain, Md. Rakibul Hoque, Rafiqul Islam, Fumihiko Yokota, Mariko Nishikitan, and Ashir Ahmed; JMIR Medical Informatics, vol. 8, issue 9, 2020. doi. 2196/18331
  • Redesigning Portable Health Clinic Platform as a Remote Healthcare System to Tackle COVID-19 Pandemic Situation in Unreached Communities- Masuda Begum Sampa, Rakibul Hoque, Rafiqul Islam, Mariko Nishikitani,Naoki Nakashima, Fumihiko Yokota, Kimiyo Kikuchi, Mad. Moshiur Rahman, Raiz Shah, and Ashir Ahmed; International Journal of Environmental Research and Public Health (IJERPH), vol. 17, issue 4709, pp. 1-14, 2020. doi:10.3390/ijerph17134709.
  • Impacts of anthropometric, biochemical, socio-demographic, and dietary habits factors on the health status of Urban Corporate People in a Developing Country- Masuda Begum Sampa, Rakibul Hoque and Md. Nazmul Hossain; Healthcare, Vol. 8, Issue 188, pp. 1-13, 2020. doi:10.3390/healthcare8030188.
  • A systematic Review to Identify Influencing Factors and Directions for Future Researches about Adoption of ICT Based Health Services– Masuda Begum Sampa, Rafiqul Islam, Fumihiko Yokota, Mariko Nishikitani, Akira Fukuda and Ashir Ahmed. Journal of Decision Science, 3, pp. 44-52, 2020. [Research Note]
  • Influence of Factors on the Adoption and Use of ICT-Based eHealth Technology by Urban Corporate People—Masuda Begum Sampa, Md. Nazmul Hossain, Md. Rakibul Hoque, Rafiqul Islam, Fumihiko Yokota, Mariko Nishikitani, Akira Fukuda and Ashir Ahmed. Journal of Service Science and Management, Vol. 13, pp. 1-19, 2020. doi: 10.4236/jssm.2020.131001
  • Factors Affecting Rural Patients’ Primary Compliance with e-Prescription: A Developing Country Perspective– Md. Nazmul Hossain, Masuda Begum Sampa, Fumihiko Yokota, Akira Fukuda, Ashir Ahmed. Journal of Telemedicine and e-Health, 25(5), pp. 391-398, 2018. doi: 10.1089/tmj.2018.0081.
  • A Machine Learning Model Based Web App to Predict Diabetic Blood Glucose-Masuda Begum Sampa, Topu Biswas, Rakibul Hoque, Nazmul Hossain, Ashir Ahmed. Scientific Reports, Under Review.
  • A Machine Learning Web App to Predict Diabetic Blood Glucose Based on a Basic Noninvasive Health Checkup, Sociodemographic Characteristics, and Dietary Information: Case Study.
    Published in: JMIR Diabetes vol 8 (2023). PMID: 37999944

Book Chapters

  • Portable health clinic: concept, design, implementation and challenges- Ashir Ahmed, Mehdi Hasan, Masuda Begum Sampa, Kazi Mozaher Hossein, Yasunobu Nohara, and Naoki Nakashima In: Roy P. K., Nakashima N., Ahmed A., Ro S.-C. and Soshino Y. (eds) Mobile Technologies for Delivering Healthcare in Remote, Rural or Developing Regions. IET Publishing, 2020.
  • Theoretical Framework of a Longitudinal Study to Understand Determinants of Use of Portable Health Clinic (PHC)- Masuda Begum Sampa, Md. Nazmul Hossain, Md. Rakibul Hoque, Fumihiko Yokota, Akira Fukuda and Ashir Ahmed. In: Streitz N., Konomi S. (eds) Distributed, Ambient and Pervasive Interactions. HCII 2019. Lecture Notes in Computer Science, vol 11587. Springer, Chamhttps, pp. 323-332, 2019.

Articles under Review

  • Determinants of purchasing organic food with environmental consciousness- Masuda Begum Sampa, Hisako Nomura, Mitsuyasu Yabe. Organic Agriculture, Springer Nature Switzerland AG, Apr 2021