Department of Biomedical Engineering (BME)

CONTACT INFORMATION/ OFFICE LOCATION

3rd Floor, Tower-4, MIST, Mirpur Cantonment, Dhaka-1216, Bangladesh.

GoogleScholar: https://scholar.google.com/citations?user=LR3eyiwAAAAJ&hl=en

ResearchGate: https://www.researchgate.net/profile/Md-Islam-1475/research 

 

ACADEMIC QUALIFICATIONS

• M.Sc. in Biomedical Engineering

          Khulna University of Engineering and Technology (KUET).

          Duration: June 2019-November 2021

• B.Sc. in Biomedical Engineering

          Khulna University of Engineering and Technology (KUET).

          Duration: April,2015-March-2019

 

RESEARCH GRANTS:

1. Awarded 1,000,000 taka on "Voice Assist Device" from ICT Division's iDEA Startup Grant as part of the National Youth Summit Startup Grant 2025.
2. Awarded Tk. 938,753/- research grant from the a2i under the prime minister's office to develop an AI-based smart glass for blind individuals (2019).
3. Design and Development of an Assistive Device for Autistic Children, Ankur International, Portland, USA, provides a 300,000-taka research grant for the project. Ankur's autism school, "Hope Autism School," will use the device for special children.
4. Portable Voice Assistant Device for Vocal Impairment People, Tk. 1,60,000/- research grant from the Centre of Army Research and Development (CARD), MIST.
5. IOT-based Portable ECG Device, approved Tk. 1,30,000/- research grant from the Centre of Army Research and Development (CARD), MIST.

 

AWARDS/ HONOURS

• Winner of the national  iDEA Grant as part of the National Youth Summit Startup Grant 2025 hosted by the ICT division.
• Winner of the national Inov-A-Thon 2018 and funded for commercialization of the project hosted by a2i.
• Semifinalist in Startup World Cup 2025.
•  Best Paper Award in IJCCI 2018.
•  One-Year Postgraduate Scholarship from HEQEP.
•  Dean's Award, Faculty of Electrical and Electronic Engineering (KUET).
•  Intra-KUET best project award on university day, 2018.
•  Winner of the IEM Feast Project competition in 2018.
•  University Merit Scholarship (all academic sessions), KUET.

 

PROFESSIONAL/WORK EXPERIENCE

• LECTURER, Department of BME, Military Institute of Science and Technology (MIST), Mirpur Cantonment, Dhaka-1216, Bangladesh.
  Duration: September 2022 – Present
• Research Project Director, a2i
  Duration: March 2019 - December 2020

 

AREAS OF RESEARCH INTERESTS

• Biomedical Signal & Image Processing
• Rehabilitation Engineering
• Machine Learning & Artificial Intelligence for Healthcare
• Low-Cost Biomedical Device Development and Instrumentation
• Wearable and mHealth Systems Development

 

PROJECT EXPERIENCE

1. Design and implementation of Raspberry Pi-based Smart Glass for Blind People

The aim is to design and develop smart glasses that can recognize objects, barriers, holes, family members, and Bangladeshi currency and generate associated audio instructions for blind individuals.

2. Mobile-Based Microscope Imaging and Remote Monitoring for Telemedicine

This project aimed to provide a point-of-care test for malaria in the rural area of our country where it is epidemic.

3. EMG acquisition system development

We aimed to develop a low-cost EMG signal acquisition tool using an open-source platform (Arduino) with analog electronic components.

4.  IoT-Based Portable ECG Device

A portable ECG device that can measure the ECG of a patient and send the data to the doctor via the internet.

5.  Portable Voice Assistant Device for Autistic Children

A portable device for the autistic children, which will be helpful for their communication and education.

 

List of Publications

PATENTS:    

1. Md. Tobibul Islam , Samir Fazal Manam, “Method and System of Rehabilitation for Vocally Impaired People Using AAC Device.” Application               No: P/BD/2025/000130

 

JOURNAL PUBLICATIONS:

1. S.M. Shanto, A. Hasan, M.A. Rahman, F. Al Farid, S. Iqbal, A. Jubayer, M.T. Islam, M. Ullah, M.I. Jahan, M.M. Hasan, S. Mansor, Metamaterial Wave Absorber using quasirectangular symmetric split ring resonators for harvesting energy in visible, UV-A, and UV-C regions, HELIYON (2025)
2. M. T. Islam, M. A. Rashid, M. Ahmad, A. Kuwana, and H. Kobayashi "Design and implementation of smart guided glass for visually impaired people"International Journal of Electrical and Computer Engineering (IJECE), Vol 12, No 5. DOI: http://doi.org/10.11591/ijece.v12i5.pp5543-5552.
3. Islam T, Hoque ME, UllahM, Islam T, Nishu NA, Islam R. CNN-based deeplearning approach for classification of invasive ductaland metastasis types of breast carcinoma. CancerMed. 2024;13:e70069. doi:10.1002/cam4.70069
4. Unpacking the Relationship between Climate Changes and Infectious Diseases: A Systematic Review Envisioning Future Smart Health, Smart Health (Under Review).
5. Next-Gen ECG Technology: Dual Lead System Empowered with IoT Connectivity for Comprehensive Cardiac Monitoring (Under Review).

 

BOOK CHAPTERS

1. Islam, M.T., Ahmad, M., Bappy, A.S. (2020). Microprocessor-Based Smart Blind Glass System for Visually Impaired People. In: Uddin, M., Bansal, J. (eds) Proceedings of International Joint Conference on Computational Intelligence. Algorithms for Intelligent Systems. Springer, Singapore.DOI:https://doi.org/10.1007/978-981-13-7564-4_13

2. Islam, M.T., Ahmad, M., Bappy, A.S. (2021). Real-Time Bangladeshi Currency Recognition Using Faster R-CNN Approach for Visually Impaired People. In: Sharma, H., Gupta, M.K., Tomar, G.S., Lipo, W. (eds) Communication and Intelligent Systems. Lecture Notes in Networks and Systems, vol 204. Springer, Singapore. DOI https://doi.org/10.1007/978-981-16-1089-9_13
3. Khan, M.B., Islam, T., Ahmad, M., Shahrior, R., Riya, Z.N. (2021). A CNN-Based Deep Learning Approach for Leukocytes Classification in Peripheral Blood from Microscopic Smear Blood Images. In: Uddin, M.S., Bansal, J.C. (eds) Proceedings of International Joint Conference on Advances in Computational Intelligence. Algorithms for Intelligent Systems. Springer, Singapore. DOI:https://doi.org/10.1007/978-981-16-0586-4_6

 

CONFERENCE PUBLICATIONS

1. M. T. Islam, M. Ahmad, and A. S. Bappy, "Real-Time Family Member Recognition Using Raspberry Pi for Visually Impaired People," 2020 IEEE Region 10 Symposium (TENSYMP), 2020, pp. 78-81, DOI: 10.1109/TENSYMP50017.2020.9230937.
2. M. T. Islam, M. Ahmad and A. s. Bappy, "Development of a Microprocessor Based Smart and Safety Blind Glass System," 2019 International Conference on Computer, Communication, Chemical, Materials, and Electronic Engineering (IC4ME2), 2019, pp. 1-4, DOI: 10.1109/IC4ME247184.2019.9036504.

3. M. M. Shahriar Maswood, T. Hussain, M. B. Khan, M. T. Islam, and A. G. Alharbi, "CNN Based Detection of the Severity of Diabetic Retinopathy from the Fundus Photography using EfficientNet-B5," 2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), 2020, pp. 0147-0150, DOI: 10.1109/IEMCON51383.2020.9284944.

4. M. B. Khan, M. T. Islam and M. Ahmad, "A CNN-based CADx Model for Pneumonia Detection from Chest Radiographs with Web Application," 2021 International Conference on Science & Contemporary Technologies (ICSCT), 2021, pp. 1-5, DOI: 10.1109/ICSCT53883.2021.9642603.

5. Tasnim, F., Islam, M.T., Maisha, A.T., Sultana, I., et al.(2024). Comparison of Brain Tumor Detection Techniques by Using Different Machine Learning YOLO Algorithms. In: Kumar, S., Balachandran, K., Kim, J.H., Bansal, J.C. (eds) Fourth Congress on Intelligent Systems. CIS 2023. Lecture Notes in Networks and Systems, vol 869. Springer, Singapore. https://doi.org/10.1007/978-981-99-9040-5_4.

 

THESIS SUPERVISION
BME-5: 2 groups with 4 students (successfully completed)
BME-6: 2 groups with 4 students (successfully completed)
BME 7: 1 group of 2 students (successfully completed)

 

SUBJECTS/ COURSES TAUGHT

Theory	Sessional
Biomedical Instrumentation and Measurements Medical Imaging Statistics and Numerical Methods for Engineers Biomedical Equipment and Device Development	Medical Imaging  Physiological Control System Bioinstrumentation and Measurement CAD in BME