Md. Sharjis Ibne Wadud

Lecturer
sharjis[at]du.ac.bd

Education:

M.S. in Biomedical Physics and Technology
University of Dhaka, Dhaka, Bangladesh

B.Sc. in Electrical and Electronic Engineering
Khulna University of Engineering and Technology, Khulna, Bangladesh.

Professional Experience:

LECTURER, Department of  Biomedical Physics &  Technology, University of Dhaka, Bangladesh.
Duration: August 2022 – Present

ASSISTANT PROFESSOR, Department of BME, Military Institute of Science and Technology (MIST), Mirpur Cantonment, Dhaka-1216, Bangladesh.
Duration: January 2021 – 31 July 2022

LECTURER, Department of BME, Military Institute of Science and Technology (MIST), Mirpur Cantonment, Dhaka-1216, Bangladesh.
Duration: July 2018 – December 2020

LECTURER, University of Information Technology & Sciences, Dhaka, Bangladesh.
Duration: June 2017 – June 2018

Research Area:

Biomedical Instrumentation
Medical Image Analysis
AI in Healthcare
Non-Invasive Measurements
Medical Wearable Technology

List of Publications:

Book Chapter:

  1. Mamun Rabbani, Md Sharjis Ibne Wadud and Md Enamul Hoque Polymer nanocomposites for microelectronic devices and biosensors. Elsevier, 2022 205–233
  2. M Mahfuza Khatun, M Enamul Hoque, Sharjis Ibne Wadud and Zayed Bin Zakir Shawon Recent developments in nanocellulose and nanohydrogel matrices—towards stem cell research and development. Elsevier, 2020 315–328

Journal Article:

  1. Ashiqur Rahman, Muhammad E.H. Chowdhury, Md Sharjis Ibne Wadud, Rusab Sarmun, Adam Mushtak, Sohaib Bassam Zoghoul, Israa Al-Hashimi : Deep learning-driven segmentation of ischemic stroke lesions using multi-channel MRI, Biomedical Signal Processing and Control, Volume 105, 2025, 107676, ISSN 1746-8094,
    https://doi.org/10.1016/j.bspc.2025.107676.
  2. Morshed, Abrar, Abdulla Al Shihab, Md Abrar Jahin, Md Jaber Al Nahian, Md Murad Hossain Sarker, Md Sharjis Ibne Wadud, Mohammad Istiaq Uddin et al. “Ultrasound-based AI for COVID-19 detection: a comprehensive review of public and private lung ultrasound datasets and studies.” Multimedia Tools and Applications (2025): 1-55. https://doi.org/10.1007/s11042-025-20802-5
  3. Naima Nasrin Nisha, Kanchon Kanti Podder, Muhammad EH Chowdhury, Mamun Rabbani,Md Sharjis Ibne Wadud, Somaya Al-Maadeed, Sakib Mahmud, Kh, Amith akar and Susu M Zughaier : A Deep Learning Framework for the Detection of Abnormality in Cerebral Blood Flow Velocity Using Transcranial Doppler Ultrasound, Diagnostics , vol.13 , no.12 MDPI , pp.2000 , 2023. https://doi.org/10.3390/diagnostics13122000
  4. Ferdous Karim Lucy, Khadiza Tun Suha, Sumaiya Tabassum Dipty, Md Sharjis Ibne Wadud and Muhammad Abdul Kadir : Video based non-contact monitoring of respiratory rate and chest indrawing in children with pneumonia, Physiological Measurement , vol.42 , no.10 IOP Publishing , pp.105017 , 2021. https://doi.org/10.1088/1361-6579/ac34eb

Conference Article:

  1. Erina Binte Motahar, Farhan Ishtiaque and Md. Sharjis Ibne Wadud “Accelerometer-based Convulsive Seizure Detection using CNN.” 2021 IEEE International Conference on Biomedical Engineering, Computer and Information Technology for Health (BECITHCON) , pp. 46-51. Bangladesh: IEEE, 2021
  2. Farhan Ishtiaque, Sadman Rahman Sadid, Mohammed Shihab Kabir, Syeda Omia Ahalam and Md Sharjis Ibne Wadud “IoT-Based Low-cost Remote Patient Monitoring and Management system with Deep Learning-Based Arrhythmia and Pneumonia detection.” 2021 IEEE 4th International Conference on Computing, Power and Communication Technologies (GUCON) , pp. 1–6. Malaysia: IEEE, 2021
  3. Md Sharjis Ibne Wadud and Md Rafiqul Islam “Design of efficient triple-junction organic solar cell.” 2017 3rd International Conference on Electrical Information and Communication Technology (EICT) , pp. 1–6. Bangladesh: IEEE, 2017