Md Manirul Islam

মোঃ মনিরুল ইসলাম

Assistant Professor

  •  Room No:  GCE Building 2nd Floor, Dept. of MTE, RUET
  •  Phone:   880-1859071530 , 880-1737513483
  •  Email:
Field of Research
  •  Biomedical Engineering, Machine Learning, TinyML, Neural Networks.

  •  First Joined: 09th Sep, 2015
  •      Dept. of Mechatronics Engineering



Book / Book Chapter
Journal Articles
Conference Papers
SL Authors Title Publisher Details Publication Year Type
1 Arifur R Anik, Kamrul Hasan, Md. Manirul Islam, Md Mehedi Hasan, Md Firoj Ali, Sajal K Das, Non-Invasive Portable Technologies for Monitoring Breast Cancer Related Lymphedema to Facilitate Telehealth: A Scoping Review IEEE Journal of Biomedical and Health Informatics, doi: 10.1109/JBHI.2023.3280196 2023 Journal
2 Wasif Ahmed, Md. Istiaque Tanzim, Md. Manirul Islam, Md. Mehedi Hasan, Dr. S M Muyeen, Subrata K. Sarker, Dr. Sajal Kumar Das, Prangon Das, Zinat Tasneem, Md. Robiul Islam, Faisal R. Badal, Md. Firoj Ali, Md. Hafiz Ahamed, and Sarafat Hussain Abhi SLAM based Indoor Mapping for Autonomous Motorized Robot Navigation: A Scoping Review IEEE Access (Under First Review) (2023) 2023 Journal
3 Naimul Islam, Riaz Khan, Sajal K. Das, Subrata K. Sarker, Md. Manirul Islam, Masuma Akter, and S.M. Muyeen Power transformer health condition evaluation: A deep generative model aided intelligent framework Electric Power Systems Research, Volume 218, 2023, 109201, ISSN 0378-7796 2023 Journal
4 Chowdhury, Sakib H., Md Robius Sany, Md Hafiz Ahamed, Sajal K. Das, Faisal Rahman Badal, Prangon Das, Zinat Tasneem, Md. Mehedi Hasan, Md. Robiul Islam, Md. Firoj Ali, Sarafat Hussain Abhi, and Md. Manirul Islam. A State-of-the-Art Computer Vision Adopting Non-Euclidean Deep-Learning Models International Journal of Intelligent Systems 2023 2023 Journal
5 Mazumder, A., Sahed, M.F., Tasneem, Z., Das, P., Badal, F.R., Ali, M.F., Md Hafiz Ahamed, Abhi, S.H., Sarker, S.K., Das, S.K. and Hasan, M.M., Md. Manirul Islam, and M. R. Islam, Towards next generation digital twin in robotics: Trends, scopes, challenges, and future Heliyon, 2023 2023 Journal
6 Md. Manirul Islam Development of a Model using Machine Learning Intended to be Embedded in a Wearable Device to Detect Muscle Fatigue based on sEMG Data Associated with a Sustained Single 80% Maximum Voluntary Contraction University of Alberta Libaray Press, September 2023. 2023 Book
7 Sree Suvro Kumar Biswas, Arpita Singdha, Labanya Talukdar, Md. Hafizur Rahman, Prangon Das, and Md. Manirul Islam Sustainable Energy-Based Voice-Controlled Home Automation Using IoT IEEE SYMPOSIUM ON INDUSTRIAL ELECTRONICS & APPLICATIONS, 15-16 JULY 2023, HYBRID CONFERENCE, KUALA LUMPUR, MALAYSIA. 2023 Conference
8 Chetana Das, Anika Anis Mumu, Md. Firoj Ali, Subrata K. Sarker, S. M. Muyeen, Sajal K. Das, Prangon Das, Md. Mehedi Hasan, Zinat Tasneem, Md. Manirul Islam, Md. Robiul Islam, Faisal R. Badal, Md. Hafiz Ahamed, and Sarafat Hussain Abhi Towards iort collaborative digital twin technology enabled future surgical sector: Technical innovations, opportunities and challenges IEEE Access, 2022. 2022 Journal
9 Maisha Mashiata, Tasmia Ali, Prangon Das, Zinat Tasneem, Md. Faisal Rahman Badal, Subrata Kumar Sarker, Md. Mehedi Hasan, Sarafat Hussain Abhi, Md Robiul Islam, Md. Firoj Ali, Md. Hafiz Ahamed, Md. Manirul Islam, and Sajal Kumar Das Towards assisting visually impaired individuals: A review on current status and future prospects Biosensors and Bioelectronics: X 12 (2022): 100265. 2022 Journal
10 Archishman Biswas, M. A. Obayed Reon, Prangon Das, Zinat Tasneem, S.M. Muyeen, Sajal K. Das, Faisal R. Badal, Subrata Kumar Sarker, Md. Mehedi Hassan, Sarafat Hussain Abhi, Md. Robiul Islam, Md. Firoj Ali, Md. Hafiz Ahamed, and Md. Manirul Islam State-of-the-art review on recent advancements on lateral control of autonomous vehicles, ." IEEE Access (2022). 2022 Journal
11 Uddin, S.S., Joysoyal, R., Sarker, S.K., Muyeen, S.M., Ali, M.F., Hasan, M.M., Abhi, S.H., Islam, M.R., Md. Hafiz Ahamed, Md. Manirul Islam, and Das, S.K Next generation blockchain enabled smart grid: Conceptual framework, key technologies, and industry practices review Energy and AI, .100228. 2022. 2022 Journal
12 Sifat, M.M.H., Choudhury, S.M., Das, S.K., Md. Hafiz Ahamed, Muyeen, S.M., Hasan, M.M., Ali, M.F., Tasneem, Z., Islam, Md. Manirul Islam, M.R. and Badal, M.F.R, Towards electric digital twin grid: Technology and framework review. Energy and AI, p.100213. 2022 Journal
13 Abu Bakar Siddik, Prangon Das, Afroza Islam, S.M. Fahim, Md. Facklasur Rahman, Enamul Hasan, Md. Farhan Tanvir Nasim, and Md. Manirul Islam Real-time Patient Monitoring System to Reduce Medical Error with the help of Database System 4th International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE), Rajshahi, Bangladesh, 2022, pp. 1-4, doi: 10.1109/ICECTE57896.2022.10114482 2022 Conference
14 Md. Nur a Shams, Md. Asaduzzaman Abrar, Md. Manirul Islam, and M. R. I. Sheikh, Trajectory Routing of an Autonomous Aerial Vehicle with Parabolic Blending Method and BFS Algorithm Journal of Engineering and Applied Sciences (JEAS), Vol. 04, No. 02, December 2020. 2020 Journal
15 Md. Manirul Islam and Md. Ashiqul Alam Khan Performance Evaluation of KNN and SVM Algorithm in Object Recognition Enhancing Intelligent International Journal of Scientific & Engineering Research, Volume 9, Issue 8, August-2018 2018 Journal
16 Md. Manirul Islam, and Aminul Islam Stability Enhancement of Wind Power System by Using Energy Capacitor System LULU ACADEMIC PUBLISHING, ISSB: 9780359062119, Product ID: 23782641 2016 Book
  •  Class Five and Class Eight Scholarship (From: 2002 and 2005 respectively).
  •  Technical Scholarship from RUET (From 2010 to 2014)
  •  Graduate Excellence Award from the Department, Alberta, Canada.
  •  Graduate Research Fellowship from the University of Alberta, Canada.
  •  Student of the Year Award from Dept. of EEE, RUET, Academic Year: 2013
Phd Students
IdNameThesis workCurrent Position
Masters Students
IdNameThesis workCurrent Position
Undergraduate Students
IdNameThesis workCurrent Position
138019Mr. Md. Hafiz AhamedHOG-CNN Based Real Time Face RecognitionLecturer, Dept.of MTE, RUET.
138017Md. Ishraq AlamHOG-CNN Based Real Time Face RecognitionGraduate Student, University of British Columbia, Canada
138005Nur A ShamsTrajectory Routing of an Autonomous Aerial Vehicle with Parabolic Blending Method and BFS AlgorithmEngineer, Walton, Bangladesh.
138018Md. Asaduzzaman AbrarTrajectory Routing of an Autonomous Aerial Vehicle with Parabolic Blending Method and BFS AlgorithmEngineer, Frontier Semiconductor Bangladesh Ltd
148024Md. Ashiqul Alam KhanPlan Detection based on Leaf Recognition using Multilevel Residual Network and Progressive Neural Architecture SearchErasmus Mundus Scholarship, Europe
Activity Description