Research And Publications

Podder, K.K., Tabassum, S., Khan, L.E., Salam, K.M.A., Maruf, R.I. and Ahmed, A., 2021, May. Design of a sign language transformer to enable the participation of persons with disabilities in remote healthcare systems for ensuring universal healthcare coverage. In 2021 IEEE Technology & Engineering Management Conference-Europe (TEMSCON-EUR) (pp. 1-6). IEEE.

Podder, K.K., Chowdhury, M., Mahbub, Z.B. and Kadir, M., 2020. Bangla sign language alphabet recognition using transfer learning based convolutional neural network. Bangladesh J. Sci. Res, pp.31-33. 

Podder, K.K., Alam, M.K., Siam, Z.S., Islam, K.R., Dutta, P., Mushtak, A., Khandakar, A., Pedersen, S. and Chowdhury, M.E., 2023. Deep Learning-Based Conjunctival Melanoma Detection Using Ocular Surface Images. In Deep Learning Applications in Image Analysis (pp. 113-131). Singapore: Springer Nature Singapore.

Nisha, N.N., Podder, K.K., Chowdhury, M.E., Rabbani, M., Wadud, M.S.I., Al-Maadeed, S., Mahmud, S., Khandakar, A. and Zughaier, S.M., 2023. A Deep Learning Framework for the Detection of Abnormality in Cerebral Blood Flow Velocity Using Transcranial Doppler Ultrasound. Diagnostics, 13(12), p.2000.

Podder, K.K., Chowdhury, M.E., Al-Maadeed, S., Nisha, N.N., Mahmud, S., Hamadelneil, F., Almkhlef, T., Aljofairi, H., Mushtak, A., Khandakar, A. and Zughaier, S., 2023. Deep learning-based middle cerebral artery blood flow abnormality detection using flow velocity waveform derived from transcranial Doppler ultrasound. Biomedical Signal Processing and Control, 85, p.104882.

Khandakar, A., Chowdhury, M.E., Reaz, M.B.I., Kiranyaz, S., Hasan, A., Rahman, T., Ali, S.H.M., Bakar, A.A.A., Podder, K.K., Chowdhury, M.H. and Faisal, M.A.A., 2023. DSPNet: A Self-ONN Model for Robust DSPN Diagnosis From Temperature Maps. IEEE Sensors Journal, 23(5), pp.5370-5381.

Rahman, T., Khandakar, A., Abir, F.F., Faisal, M.A.A., Hossain, M.S., Podder, K.K., Abbas, T.O., Alam, M.F., Kashem, S.B., Islam, M.T. and Zughaier, S.M., 2022. QCovSML: A reliable COVID-19 detection system using CBC biomarkers by a stacking machine learning model. Computers in Biology and Medicine, 143, p.105284.

Podder, K.K., Chowdhury, M.E., Tahir, A.M., Mahbub, Z.B., Khandakar, A., Hossain, M.S. and Kadir, M.A., 2022. Bangla sign language (bdsl) alphabets and numerals classification using a deep learning model. Sensors, 22(2), p.574.

Khandakar, A., Chowdhury, M.E., Reaz, M.B.I., Ali, S.H.M.A, Kiranyaz, S., Rahman, T., Alfkey, R., Bakar, A.A.A., Malik, R.A., Ayari, M.A., Chowdhury, M.H., Podder, K.K., (2022) "A Novel Machine Learning Model for stratification of Early Diabetic Foot complication using Thermogram Images", US Patent App. 63/414,645. (In progress)