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Tanmoy Kumar Paul

Designation: Lecturer, Department of EEE

Welcome to my Web page!

I am Tanmoy Kumar Paul, Lecturer in the Department of Electrical and Electronic Engineering at Bangladesh Army University of Science and Technology Khulna (BAUSTK). I completed my B.Sc. in EEE from KUET with a CGPA of 3.93/4.00, securing 3rd position among 141 students, and I am currently pursuing my M.Sc. in EEE at KUET.

My research interests include Photonics, Biosensors, Biomedical Devices, Analog Sensor Design, and Semiconductor Devices. My research work focuses on machine learning-assisted non-invasive blood glucose monitoring using NIR spectroscopy and PPG.

I am passionate about teaching, research, innovation, and practical engineering. Motivated students and researchers are warmly welcome to contact me for academic discussion, collaboration, and ongoing research opportunities.

2025
Masters of Science (M.Sc. Eng.) in Electrical and Electronic Engineering
Khulna University of Engineering & Technology, Khulna-9203, Bangladesh
  • Result and Merit Position : Ongoing
2019
Bachelor of Science (B. Sc. Eng.) in Electrical and Electronic Engineering
Khulna University of Engineering & Technology, Khulna-9203, Bangladesh
  • Result and Merit Position : CGPA 3.93 (out of 4.00), 3rd Position out of 141
  • Marks : 93.40%
2019
Higher Secondary Certificate (HSC)
Notre Dame College, Dhaka, Bangladesh
  • Admitted Subject : Science
  • Result : GPA 5.00 (out of 5.00)
  • Board : Dhaka Board
2017
Secondary School Certificate (SSC)
Momena Ali Biggan School, Sirajganj, Bangladesh
  • Admitted Subject : Science
  • Result : GPA 5.00 (out of 5.00)
  • Board : Rajshahi Board

Journal:

  1. T. K. Paul, S. S. Nayem, M. A. Rakib, M. J. Islam, M. R. Kaysir, and S. Rassel, “Noninvasive Blood Glucose Monitoring with Machine Learning Enhanced Transmittance Spectroscopy,” ACS Omega, May 2026, doi: 10.1021/ACSOMEGA.5C11682.

Conference:

  1. T. K. Paul, J. M. Tasin, Md. J. Islam, and Md. R. Kaysir, “Implementation of Machine Learning Assisted PPG-based Non-Invasive Blood Glucose Monitoring System,” in 8th International Conference on Engineering Research, Innovation, and Education 2025 (ICERIE 2025), Atlantis Press, Nov. 2025, pp. 614–621. doi: 10.2991/978-94-6463-884-4_74.
  2. S. S. Nayem, T. K. Paul, M. N. H. Sifat, M. J. Islam, and M. R. Kaysir, “Development of a Non-Invasive Multispectral Glucose Measurement System: Integrating Optical Sensor and Vis-NIR Spectroscopy,” 2025 IEEE International Conference on Quantum Photonics, Artificial Intelligence, and Networking, QPAIN 2025, 2025, doi: 10.1109/QPAIN66474.2025.11171946.
  3. T. K. Paul, Md. A. Rakib, and Md. J. Islam, “Non-Invasive Glucose Monitoring: Advanced PPG Acquisition with Comprehensive Machine Learning Framework,” in 2026 IEEE 2nd International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN), IEEE, Apr. 2026, pp. 1–6. doi: 10.1109/QPAIN69676.2026.11546602.

Photonics
Biosensors
Optical fiber Design
Analog Sensor Design
Biomedical Devices.

  • Received Dean’s List Award consecutively for Levels 1, 2, 3, and 4 at Khulna University of Engineering & Technology for outstanding academic performance.
  • Awarded Technical Scholarship consecutively for four years during undergraduate studies for excellent academic results.
  • Received Educational Board Scholarship in SSC Examination (2017).
  • Received Educational Board Scholarship in JSC Examination (2014).
  • Received Educational Board Scholarship in PSC Examination (2011).

Power System Operation and Service Design 

An 80-hour training program titled “Power System Operation & Service Design” conducted by the Central Computer Center (CCC), Khulna University of Engineering & Technology (KUET), from December 2024 to February 2025 under the Enhancing Digital Government and Economy (EDGE) Project of the Bangladesh Computer Council, ICT Division.


Updated On:June 24, 2026