Md. Sharjis Ibne Wadud



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. 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
  2. Abrar Morshed, Abdulla Al Shihab, Md Abrar Jahin, Md Jaber Al Nahian, Md Murad Hossain Sarker, Md Sharjis Ibne Wadud, Mohammad Istiaq Uddin, Muntequa Imtiaz Siraji, Nafisa Anjum, Sumiya Rajjab Shristy and others : Ultrasound-Based AI for COVID-19 Detection: A Comprehensive Review of Public and Private Lung Ultrasound Datasets and Studies, Preprints , 2023
  3. 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

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