Md Motiur Rahman's Portfolio

Selected Publications

Rahman, M., Saha, I., Islam, D. and Mukti, R.J., 2020. A Deep Learning Approach based on Convolutional LSTM for Detecting Diabetes. Computational Biology and Chemistry, p.107329. https://doi.org/10.1016/j.compbiolchem.2020.107329 [IF-1.85]
Akther, S., Akter, F., Rahman, M. et al. Computational and experimental studies to optimize the extraction of flavonoids from mango powder using response surface methodology. Food Measure 15, 3671–3682 (2021). https://doi.org/10.1007/s11694-021-00945-3 [IF-2.431]
Rahman, M. and Siddiqui, F.H. (2021), Multi‐layered attentional peephole convolutional LSTM for abstractive text summarization. ETRI Journal. https://doi.org/10.4218/etrij.2019-0016 [IF-1.094]
Rahman, M. and Siddiqui, F.H., 2019. An Optimized Abstractive Text Summarization Model Using Peephole Convolutional LSTM. Symmetry, 11(10), p.1290. https://doi.org/10.3390/sym11101290 [IF-2.645]
Rahman, M. and Akter, F., 2018. An Efficient Approach for Web Mining using Semantic Web. International Journal of Education and Management Engineering, 8(5), p.31. DOI:10.5815/ijeme.2018.05.04
Rahman, M. and Siddiqui, F, H., 2018. NLP-based Automatic Answer Script Evaluation. Duet journal, vol. 4, pp. 35–42, 12.
Barua, S., Mahmud, T. A., Dey, S. K. and Rahman M. M., 2016. Future of social network with collaboration of cloud computing and brain computer interface", Future, vol. 145, no. 14, DOI:10.5120/ijca2016910863
Galib S. M., Rahman M. M., Shah A. and Debnath M., 2015. Clustered and smarter web mining using semantic web. 2015 18th International Conference on Computer and Information Technology (ICCIT), Dhaka, pp. 111-115, doi: 10.1109/ICCITechn.2015.7488052

Accepted Publications

MIST: Medical image segmentation transformer with convolutional attention mixing (cam) decoder. 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2024) (SUBMITTED).
Rahman, Md Motiur, Miad Ahmed Faezipor, Smriti Bhatt, and Sudip Vhaduri. AHP-CM: Attentional homogeneous-padded composite model for respiratory anomalies prediction. 11th IEEE International Conference on Healthcare Informatics (ICHI 2023) (ACCEPTED).
Rahman, Md Motiur, Shiva Shokouhmand, Miad Ahmed Faezipor, and Smriti Bhatt. Attentional convolutional neural network for automating pathological lung auscultations using respiratory sounds. 2022 International Conference on Computational Science and ¿ Computational Intelligence (CSCI 2022) (ACCEPTED).

Purdue University, Department of Electrical and Computer Engineering Technology

The Gateway Complex, 420 Central Dr., West Lafayette, IN 47907, USA

rahma112@purdue.edu | (313) 913-5588