Bangladesh Army University of Engineering & Technology
Department of Information and Communication Engineering (ICE)
Department of Information and Communication Engineering (ICE)
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Important Notice:
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Professor (Adjunct)
Dept. of ICE
mehedi_ru@yahoo.com
01712205360
| SL | Authors | Title | Publisher Details | Publication Year | Type |
| 1 | Sabit Ahmed, Afrida Rahman, Md Al Mehedi Hasan, Md Khaled Ben Islam, Julia Rahman, and Shamim Ahmad. | predPhogly-Site: Predicting phosphoglycerylation sites by incorporating probabilistic sequence-coupling information into PseAAC and addressing data imbalance | PloS one 16, no. 4 : e0249396.( SCI indexed, Impact factor: 2.74) | 2021 | Journal |
| 2 | Abu Zahid Bin Aziz, Md Al Mehedi Hasan, and Jungpil Shin. | Identification of RNA pseudouridine sites using deep learning approaches | PloS one 16, no. 2: e0247511. (SCI indexed, Impact factor: 2.74) | 2021 | Journal |
| 3 | Abu, Jungpil Shin Sayeed, Md Hasan, Al Mehedi, and Azmain Yakin Srizon. | BengaliNet: A Low-Cost Novel Convolutional Neural Network for Bengali Handwritten Characters Recognition | Applied Sciences 11, no. 15 : 6845. (SCI indexed, Impact Factor: 2.679) | 2021 | Journal |
| 4 | Md Khaled Ben Islam, Julia Rahman, Md Al Mehedi Hasan, and Shamim Ahmad | predForm-Site: Formylation Site Prediction by Incorporating Multiple Features and Resolving Data Imbalance | Computational Biology and Chemistry : 107553. (SCI indexed, Impact Factor: 2.877) | 2021 | Journal |
| 5 | Jungpil Shin, Akitaka Matsuoka, Md. Al Mehedi Hasan, and Azmain Yakin Srizon | American Sign Language Alphabet Recognition by Extracting Feature from Hand Pose Estimation | Sensors 21, no. 17: 5856. (SCI indexed, Impact Factor: 3.735) | 2021 | Journal |
| 6 | Md Maniruzzaman, Md Merajul Islam, Md Jahanur Rahman, Md Al Mehedi Hasan, and Jungpil Shin | Risk prediction of diabetic nephropathy using machine learning techniques: A pilot study with secondary data | Diabetes & Metabolic Syndrome: Clinical Research & Reviews: 102263.(Emerging Sources Citation Index (ESCI)) | 2021 | Journal |
| 7 | Md Ahmad Arafat, S. M. Shovan, Abdollah Dehzangi, Shubhashis Roy Dipta, Md Hasan, Al Mehedi, Ghazaleh Taherzadeh, Swakkhar Shatabda, and Alok Sharma. | Accurately predicting glutarylation sites using sequential bi-peptide-based evolutionary features | Genes 11, no. 9 : 1023. (SCI indexed, Impact Factor: 4.339) | 2020 | Journal |
| 8 | Md. Robiul Islam, Md. Al Mehedi Hasan and Abu Sayeed | Transfer Learning based Diabetic Retinopathy Detection with a Novel Preprocessed Layer | IEEE Region 10 Symposium (TENSYMP), 5-7 June 2020, Dhaka, Bangladesh. | 2020 | Conference |
| 9 | Abu Said Md. Rezoun, Md. Al Mehedi Hasan and Abu Zahid Bin Aziz | Supervised Deep Learning Methods for Human pre-miRNA Identification | IEEE Region 10 Symposium (TENSYMP), 5-7 June 2020, Dhaka, Bangladesh. | 2020 | Conference |
| 10 | Utsha Das, Azmain Yakin Srizon, Md. Al Mehedi Hasan, Julia Rahman and Md Khaled Ben Islam | Effective Data Dimensionality Reduction Workflow for High-Dimensional Gene Expression Datasets | IEEE Region 10 Symposium (TENSYMP), 5-7 June 2020, Dhaka, Bangladesh. | 2020 | Conference |
| 11 | Farjana Parvin and Md. Al Mehedi Hasan | A Comparative Study of Different Types of Convolutional Neural Networks for Breast Cancer Histopathological Image Classification | IEEE Region 10 Symposium (TENSYMP), 5-7 June 2020, Dhaka, Bangladesh. | 2020 | Conference |
| 12 | Md. Mehedi Hasan, Azmain Yakin Srizon and Md. Al Mehedi Hasan | Classification of Bengali Sign Language Characters by Applying a Novel Deep Convolutional Neural Network | IEEE Region 10 Symposium (TENSYMP), 5-7 June 2020, Dhaka, Bangladesh. | 2020 | Conference |
| 13 | Md Sohrawordi and Md. Al Mehedi Hasan | LyFor:Prediction of lysine formylation sites from sequence based features using support vector machine | IEEE Region 10 Symposium (TENSYMP), 5-7 June 2020, Dhaka, Bangladesh. | 2020 | Conference |
| 14 | Afrida Rahman, Sabit Ahmed, Julia Rahman and Md. Al Mehedi Hasan | Prediction of Formylation Sites by Incorporating Sequence Coupling into General PseAAC | IEEE Region 10 Symposium (TENSYMP), 5-7 June 2020, Dhaka, Bangladesh. | 2020 | Conference |
| 15 | Kazi Amit Hasan, Md. Al Mehedi Hasan | Classification of Parkinson’s Disease by Analyzing Multiple Vocal Features Sets | IEEE Region 10 Symposium (TENSYMP), 5-7 June 2020, Dhaka, Bangladesh. | 2020 | Conference |
| 16 | Urmi Sen and Md. Al Mehedi Hasan | DeepGlut: A Deep Learning Framework for Prediction of GlutarylationSites in Protein | IEEE Region 10 Symposium (TENSYMP), 5-7 June 2020, Dhaka, Bangladesh. | 2020 | Conference |
| 17 | Md. Al Mehedi Hasan, Md Khaled Ben Islam, Julia Rahman and Shamim Ahmad | Citrullination Site Prediction by Incorporating Sequence Coupled Effects into PseAAC and Resolving Data Imbalance Issue | Current Bioinformatics (2020) 15: 235. (Impact Factor:- 1.189, SCI indexed) | 2020 | Journal |
| 18 | Mohammad Ali Moni, Humayan Kabir Rana, M. Babul Islam, Mohammad Boshir Ahmed, Haoming Xu, Md Al Mehedi Hasan, Yiming Lei, and Julian MW Quinn | A computational approach to identify blood cell-expressed Parkinson’s disease biomarkers that are coordinately expressed in brain tissue | Computers in biology and medicine 113 (2019): 103385. (Impact Factor:- 2.286, SCI indexed) | 2020 | Journal |
| 19 | Mohammad Ali Moni, Humayan Kabir Rana, M. Babul Islam, Mohammad Boshir Ahmed, Md Al Mehedi Hasan, Fazlul Huq, and Julian MW Quinn | Detection of Parkinson’s disease using blood and brain cells transcript profiles | bioRxiv | 2019 | Journal |
| 20 | Mohammad Ali Moni, Humayan Kabir Rana, M. Babul Islam, Md Bashir Ahmed, Pietro Lio, Md. Al Mehedi Hasan, Fazlul Huq, Julian Quinn | Early Detection of Neurological Dysfunction Using Blood Cell Transcript Profiles | bioRxiv | 2018 | Journal |
| 21 | Md. Al Mehedi Hasan and Shamim Ahmad | predSucc-Site: Lysine Succinylation Sites Prediction in Proteins by using Support Vector Machine and Resolving Data Imbalance Issue. | International Journal of Computer Applications,182(15):8-13. | 2018 | Journal |
| 22 | Md. Al Mehedi Hasan and Shamim Ahmad | mLysPTMpred: Multiple Lysine PTM Site Prediction Using Combination of SVM with Resolving Data Imbalance Issue. | Natural Science (Indexed by PubMed and PubMed Central). | 2018 | Journal |
| 23 | Md. Maniruzzaman, Md. Jahanur Rahman, Md. Al Mehedi Hasan, Harman S. Suri, Md. Menhazul Abedin, Ayman El-Baz, Jasjit S. Suri | Accurate Diabetes Risk Stratification Using Machine Learning: Role of Missing Value and Outliers | Journal of Medical Systems (Springer). (Impact Factor:- 2.098, SCI indexed) | 2018 | Journal |
| 24 | Md. Al Mehedi Hasan, Shamim Ahmad, and Md Khademul Islam Molla. | iMulti-HumPhos: A Multi-Label Classifier for Identifying Human Phosphorylated Proteins Using Multiple Kernel Learning Based Support Vector Machine | Molecular BioSystems, 13(8), 1608-1618. (Impact Factor:- 2.781, SCI indexed) | 2017 | Journal |
| 25 | Md. Al Mehedi Hasan, Shamim Ahmad, and Md Khademul Islam Molla | Protein subcellular localization prediction using multiple kernel learning based support vector machine. | Molecular BioSystems, 13(4), 785-795. (Impact Factor:- 2.781, SCI indexed) | 2017 | Journal |
| 26 | Md. Al Mehedi Hasan, Shamim Ahmad, and Md Khademul Islam Molla | Protein Subcellular Localization Prediction using Support Vector Machine with the Choice of Proper Kernel | BioTechnologia vol. 98(2), 85-96. (Indexed by BIOSIS Previews, Listed in: https://mjl.clarivate.com) | 2017 | Journal |
| 27 | Md. Al Mehedi Hasan, Jinyan Li, Shamim Ahmad and Md Khademul Islam Molla. | predCar-site: Carbonylation sites prediction in proteins using support vector machine with resolving data imbalanced issue. | Analytical biochemistry (ELSEVIER), 525, 107-113. (Impact Factor:- 2.334, SCI indexed) | 2017 | Journal |
| 28 | Julia Rahman, Md. Nazrul Islam Mondal, Md. Khaled Ben Islam, Md. Al Mehedi Hasan | Feature Fusion Based SVM Classifier for Protein Subcellular Localization Prediction | Journal of Integrative Bioinformatics, 13(1):288. (SCI-E indexed, SCImago Journal Rank (SJR) 2018: 0.315 ) | 2016 | Journal |
| 29 | Md Al Mehedi Hasan, Mohammed Nasser, Shamim Ahmad, and Khademul Islam Molla | Feature Selection for Intrusion Detection Using Random Forest. | Journal of Information Security, 7, no. 03, 129-140 | 2016 | Journal |
| 30 | Md. Al Mehedi Hasan, Shuxiang Xu, Mir Md. Jahangir Kabir and Shamim Ahmad | Performance Evaluation of Different Kernels for Support Vector Machine Used in Intrusion Detection System | International Journal of Computer Networks & Communications (IJCNC), Volume 8, No. 6, 39-53. (Scopus Indexed) | 2016 | Journal |
| 31 | Md. Al Mehedi Hasan, Shamim Ahmad, and Md Khademul Islam Molla | Identifying Intrusions in Computer Networks using Principal Component Analysis and Random Forest. | International Journal of Computer Science and Information Security 14, no. 11, 19-30. | 2016 | Journal |
| 32 | Md. Khaled Ben Islam, Julia Rahman, Md. Al Mehedi Hasan and Abdur Rahim | Protein Function Prediction Using Hypergeometric Distance with Background Frequency from Protein-Protein Interaction Network | International Journal of Computational Bioinformatics and In Silico Modeling, Vol. 4, Issue 3, pp. 667-672. | 2015 | Journal |
| 33 | Md. Khaled Ben Islam, Julia Rahman, Md. Al Mehedi Hasan and Mohammed Nasser | Protein Function Prediction Using Neighbor Counting with Dynamic Threshold from Protein-Protein Interaction Network | Computational Biology and Bioinformatics, Vol. 3, No.1, pp. 1-5. | 2015 | Journal |
| 34 | Md. Khaled Ben Islam, Julia Rahman, Md. Al Mehedi Hasan and Md. Moyen Uddin | Impact of Routing Protocol on the Performance of Wireless Sensor Network | International Journal of Electronics Communication and Computer Engineering, Vol. 6, Issue 1, pp. 115-122 | 2015 | Journal |
| 35 | Md. Al Mehedi Hasan, Mohammed Nasser and Biprodip Pal | Support Vector Machine and Random Forest Modeling for Intrusion Detection System (IDS) | Md. Al Mehedi Hasan, Mohammed Nasser and Biprodip Pal | 2014 | Journal |
| 36 | Md. Jahanur Rahman and Md. Al Mehedi Hasan | Performance of Wavelet Transform on Models in Forecasting Climatic Variables in Rajshahi | Computational intelligence techniques in earth and environmental sciences, Springer Netherlands | 2014 | Book Chapter |
| 37 | Md. Al Mehedi Hasan, Mohammed Nasser and Biprodip Pal | On the KDD’99 Dataset: Support Vector Machine Based Intrusion Detection System (IDS) with Different Kernels | International Journal of Electronics Communication and Computer Engineering, Volume 4, Issue 4, 1164-1170 | 2013 | Journal |
| 38 | Md. Al Mehedi Hasan, Mohammed Nasser, Biprodip Pal and Shamim Ahmad | Intrusion Detection Using Combination of Various Kernels Based Support Vector Machine | International Journal of Scientific & Engineering Research, Volume 4, Issue 9, 1454-1463 | 2013 | Journal |
