Associate Professor
Computer Science & Engineering
Rajshahi University of Engineering & Technology
Computer Science & Engineering
Rajshahi University of Engineering & Technology
Computer Science & Engineering
Rajshahi University of Engineering & Technology
Griffith University, Australia
Rajshahi University of Engineering & Technology
Rajshahi University of Engineering & Technology
| SL | Authors | Title | Publisher Details | Publication Year | Type |
| 1 | Md Khorshed Alam, Julia Rahman, MA Hakim Newton, Mohammed Eunus Ali | Enhancing protein–ligand pose prediction via dual-branch deep learning with docking-oriented multi-component loss and iterative refinement | Applied Intelligence | 2026 | Journal |
| 2 | Probal Bhowmick, Julia Rahman, Anwar Hossain Efat, Tasfi Fairoz Nidhi, and Dipanjan Karmaker Amit | Dual Concatenated Transfer Learning with Attention Fusion: An Ensemble-Enhanced Approach for Skin Lesion Classification | DIGITAL HEALTH | 2026 | Journal |
| 3 | Julia Rahman, M. A. Hakim Newton, Jiffriya Mohamed Abdul Cader, Md Khaled Ben Islam, Mohammed Eunus Ali and Abdul Sattar | Harnessing angular geometry in deep learning for protein–ligand binding affinity prediction | Computer Methods and Programs in Biomedicine | 2026 | Journal |
| 4 | Md. Mahfujur Rahman and Julia Rahman | An Ensemble Transfer Learning Framework for Multi-class Retinal Fundus Disease Classification | International Conference on Power, Electronics, Communications, Computing, and Intelligent Infrastructure (PECCII 2026) | 2026 | Conference |
| 5 | Radha Rani Paul and Julia Rahman | Bengali Shallow Parsing with XLM-RoBERTa: A Rule-Guided Multitask Approach | 7th International Conference on Electrical Information and Communication Technology (EICT) | 2025 | Conference |
| 6 | Puja Saha, Joy Datta, Saikat Dey, Julia Rahman | Meta-Ensemble of FastFlow and PaDiM for Efficient Industrial Anomaly Detection | IEEE 4th International Conference on Robotics, Automation, Artificial-Intelligence and Internet-of-Things (RAAICON) | 2025 | Conference |
| 7 | Jiffriya Mohamed Abdul Cader, MA Hakim Newton, Julia Rahman, Akmal Jahan Mohamed Abdul Cader, Abdul Sattar | Ensembling methods for protein-ligand binding affinity prediction | Scientific Reports 14 (1), 24447 | 2024 | Journal |
| 8 | Julia Rahman, MA Hakim Newton, Mohammed Eunus Ali, Abdul Sattar | Distance plus attention for binding affinity prediction | Journal of Cheminformatics 16 (1), 52 | 2024 | Journal |
| 9 | MM Mohamed Mufassirin, MA Hakim Newton, Julia Rahman, Abdul Sattar | Multi-S3p: protein secondary structure prediction with specialized multi-network and self-attention-based deep learning model | IEEE Access 11, 57083-57096 | 2023 | Journal |
| 10 | Julia Rahman, MA Hakim Newton, Md Al Mehedi Hasan, Abdul Sattar | Real-to-bin conversion for protein residue distances | Computational Biology and Chemistry 104, 107834 | 2023 | Journal |
| 11 | MA Hakim Newton, Rianon Zaman, Fereshteh Mataeimoghadam, Julia Rahman, Abdul Sattar | Constraint guided beta-sheet refinement for protein structure prediction | Computational Biology and Chemistry, 107773 | 2022 | Journal |
| 12 | Md Khaled Ben Islam, MA Hakim Newton, Julia Rahman, Jarrod Trevathan, Abdul Sattar | Long range multi-step water quality forecasting using iterative ensembling | Engineering Applications of Artificial Intelligence 114, 105166 | 2022 | Journal |
| 13 | Julia Rahman, MA Hakim Newton, Md Al Mehedi Hasan, Abdul Sattar | A stacked meta-ensemble for protein inter-residue distance prediction | Computers in Biology and Medicine 148, 105824 | 2022 | Journal |
| 14 | MA Hakim Newton, Julia Rahman, Rianon Zaman, Abdul Sattar | Enhancing protein contact map prediction accuracy via ensembles of inter-residue distance predictors | Computational Biology and Chemistry 99, 107700 | 2022 | Journal |
| 15 | Julia Rahman, MA Hakim Newton, Md Khaled Ben Islam, Abdul Sattar | Enhancing protein inter-residue real distance prediction by scrutinising deep learning models | Scientific Reports 12 (1), 787 | 2022 | Journal |
| 16 | Md Khaled Ben Islam, Julia Rahman, Md Al Mehedi Hasan, Shamim Ahmad | predForm-Site: Formylation site prediction by incorporating multiple features and resolving data imbalance | Computational Biology and Chemistry 94, 107553 | 2021 | Journal |
| 17 | Sabit Ahmed, Afrida Rahman, Md Al Mehedi Hasan, Julia Rahman, Md Khaled Ben Islam, Shamim Ahmad | predML-Site: Predicting Multiple Lysine PTM Sites with Optimal Feature Representation and Data Imbalance Minimization | IEEE/ACM Transactions on Computational Biology and Bioinformatics, 1-1 | 2021 | Journal |
| 18 | Sabit Ahmed, Afrida Rahman, Md Al Mehedi Hasan, Md Khaled Ben Islam, Julia Rahman, Shamim Ahmad | predPhogly-Site: Predicting phosphoglycerylation sites by incorporating probabilistic sequence-coupling information into PseAAC and addressing data imbalance | Plos one 16 (4), e0249396 | 2021 | Journal |
| 19 | Md AM Hasan, Md K Ben Islam, Julia Rahman, Shamim Ahmad | Citrullination Site Prediction by Incorporating Sequence Coupled Effects into PseAAC and Resolving Data Imbalance Issue | Current Bioinformatics 15 (3), 235-245 | 2020 | Journal |
| 20 | A Intisar, MKB Islam, Julia Rahman | A Deep Convolutional Neural Network Based Small Scale Test-bed for Autonomous Car | International Conference on Computing Advancements (ICCA 2020) | 2020 | Conference |
| 21 | Afrida Rahman, Julia Rahman, Sabit Ahmed, Md Al Mehedi Hasan | Prediction of Formylation Sites by Incorporating Sequence Coupling into General PseAAC | IEEE Region 10 Symposium (TENSYMP) | 2020 | Journal |
| 22 | Utsha Das, Azmain Yakin Srizon, Md Al Mehedi Hasan, Julia Rahman, Md Khaled Ben Islam | Effective Data Dimensionality Reduction Workflow for High-Dimensional Gene Expression Datasets | 2020 IEEE Region 10 Symposium (TENSYMP) | 2020 | Conference |
| 23 | Habibur Rahman, Julia Rahman, Asmaul Husna | WALGES: Weighted Probability Based Scoring Approach for Solving Algebraic Word Problems using Semantic Parsing | 2019 International Conference on Electrical, Computer and Communication Engineering (ECCE) | 2019 | Conference |
| 24 | Utsha Das, Md Al Mehedi Hasan, Julia Rahman | Influential Gene Identification for Cancer Classification | 2019 International Conference on Electrical, Computer and Communication Engineering (ECCE) | 2019 | Conference |
| 25 | Md Jahidul Islam, Julia Rahman, Md Khaled Ben Islam | Improving Patient Cohort Identification using Neural Word Embedding with Structured Analysis | 2019 3rd International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE) | 2019 | Conference |
| 26 | KM Shawkat Zamil, Julia Rahman | Prediction of Protein-Protein Interaction from Amino Acid Sequence Using Ensemble Classifier | 2018 International Conference on Computer, Communication, Chemical, Material and Electronic Engineering (IC4ME2) | 2018 | Conference |
| 27 | Md Khaled Ben Islam, Md Nazrul Islam Mondal, Julia Rahman, Md Al Mehedi Hassan | DV-iSucLys: Decision Voting to Improve Protein Lysine Succinylation Site Identification from Sequence Data | American Journal of Biomedical and Life Sciences 5 (6), 135-143 | 2017 | Journal |
| 28 | Julia Rahman, Md Nazrul Islam Mondal, Md Khaled Ben Islam, Md Al Mehedi Hasan, SM Sabbir Amin | Gram-positive bacterial protein subcellular localization prediction using features fusion strategy | 2016 9th International Conference on Electrical and Computer Engineering (ICECE) | 2016 | Conference |
| 29 | Julia Rahman, Nazrul Islam Mondal, Khaled Ben Islam, Al Mehedi Hasan | Feature fusion based svm classifier for protein subcellular localization prediction | Journal of integrative bioinformatics 13 (1), 23-33 | 2016 | Journal |
| 30 | ulia Rahman, Md Al Mehedi Hasan, Md Khaled Ben Islam | Comparative analysis the performance of AODV, DSDV and DSR routing protocols in wireless sensor network | 2012 7th International Conference on Electrical and Computer Engineering | 2012 | Conference |
| 31 | Boshir Ahmed, Md Khaled Ben Islam, Julia Rahman | Simulation, Analysis and Performance Comparison among different Routing Protocols for Wireless Sensor Network | Computer Engineering and Intelligent Systems 2 (4), 61-71 | 2011 | Journal |
| Phd Students | |||
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| Undergraduate Students | |||
| Id | Name | Thesis work | Current Position |
| Activity | Description |
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