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:
- Awarded Tk. 9,38,753/- research grant from the a2i under the prime minister's office to develop an AI-Based smart glass for blind individuals (2019).
- 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.
- Portable Voice Assistant Device for Vocal Impairment People, Tk. 1,60,000/- research grant from the Centre of Army Research and Development (CARD), MIST.
- 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 national Inov-A-Thon 2018 and funded for commercialization of the project hosted by a2i.
- 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
- Design and implementation of Raspberry Pi-based Smart Glass for Blind People
The aim of the design and develop a smart glass that can recognize objects, barriers, holes, family members, and Bangladeshi currency and generate associated audio instructions for blind individuals.
- 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.
- 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.
- IOT_based Portable ECG Device
A portable ECG device that can measure ECG of a patient and send the data to the doctor via internet.
- Portable Voice Assistant Device for Autistic Children
A portable device for the autistic children which will be helpful for their communication and education.
JOURNAL PUBLICATIONS:
- 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.
- 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
- Unpacking the Relationship between Climate Changes and Infectious Diseases: A Systematic Review Envisioning Future Smart Health, Smart Health (Under Review).
- Next-Gen ECG Technology: Dual Lead System Empowered with IoT Connectivity for Comprehensive Cardiac Monitoring, Smart Health (Under Review).
BOOK CHAPTERS
- 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
- 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
- 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
- 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.
- 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.
- 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.
- 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.
- 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 ( Ongoing)
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 |
