Professor
Dr. Md. Al Mehedi Hasan is now working as a Postdoctoral Researcher in the School of Computer Science and Engineering,The University of Aizu, Japan since November, 2020. He became a Lecturer, an Assistant Professor, an Associate Professor and Professor inthe Department of Computer Science & Engineering in Rajshahi University of Engineering & Technology (RUET), Rajshahi, Bangladesh in the year of 2007, 2010, 2018 and 2019 respectively. He received B.Sc. and M.Sc. in Computer Science & Engineering in the Department of Computer Science & Engineering from the University of Rajshahi, Rajshahi, Bangladesh in 2005 and 2007 respectively. He also completed a Ph.D. in Computer Science & Engineering in of the Department of Computer Science & Engineering from the University of Rajshahi in 2017.
His research interests include Bioinformatics, Artificial Intelligence, Pattern Recognition, Medical Image and Signal Processing, Machine Learning, Computer Vision, Data Mining, Big Data Analysis, Probabilistic and statistical inference, Operating System, Computer Network and Security. He has (co-)authored more than 80 publications published in widely cited journals and conferences.
Computer Science & Engineering
University of Aizu, Japan
Computer Science & Engineering
Rajshahi University of Engineering & Technology
Computer Science & Engineering
Rajshahi University of Engineering & Technology
Computer Science & Engineering
Rajshahi University of Engineering & Technology
Computer Science & Engineering
Rajshahi University of Engineering & Technology
University of Rajshahi, Rajshahi, Bangladesh
University of Rajshahi, Rajshahi, Bangladesh
University of Rajshahi, Rajshahi, Bangladesh
Govt. A.H. College, Bogra
Gotgari S.M. High School, Manda, Naogaon
| 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 |
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