Profile

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Motivated undergraduate students are welcome to get in touch with me for academic discussions, research collaboration, and ongoing research opportunities. I am also interested in potential collaborations with researchers working in related fields. Please feel free to contact me via email.

Tanmoy Kumar Paul is a Lecturer in the Department of Electrical and Electronic Engineering (EEE) at Bangladesh Army University of Science and Technology, Khulna (BAUSTK), Bangladesh. He received his B.Sc. in Electrical and Electronic Engineering from Khulna University of Engineering & Technology (KUET), Khulna, Bangladesh, with a CGPA of 3.93/4.00, securing 3rd position among 141 students. He is currently pursuing his M.Sc. in Electrical and Electronic Engineering at KUET. His research interests include photonics, biosensors, biomedical devices, analog sensor design, and semiconductor devices. His research focuses on machine learning-assisted non-invasive blood glucose monitoring using near-infrared (NIR) spectroscopy and photoplethysmography (PPG). He is passionate about teaching, interdisciplinary research, and developing innovative engineering solutions for biomedical sensing and healthcare applications.

Lecturer-
Bangladesh Army University of Science and Technology Khulna (April 2026 – Present)

Lecturer-
North East University (February 2026 – March 2026)

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.