Dr Md Mokammel Haque
Lecturer
School of Computer Science and Information Technology
College of Engineering and Information Technology
Eligible to supervise Masters and PhD - email supervisor to discuss availability.
Detection of Cyclic Alternating Patterns in Sleep Using Deep Learning (in collaboration with the Discipline of Biomedical Engineering, FSET, Adelaide University)
Detection of sleep stages is essential for assessing sleep quality and significantly linked to neurological pathologies. Especially, the cyclic alternating patterns (CAP) is considered as vital for understanding and improving sleep quality. Determining CAP phases using electroencephalography (EEG) is mostly rely on classical machine learning techniques and often require manual feature extraction. Here, we want to propose a fully automated deep learning-based technique to detect CAP phases. We want to investigate the possibility of combining Convolution Neural Network with Recurrent Neural Network to improve feature extraction process and detection accuracy. The current state of the art method can detect CAP phases with accuracy of around 80%.
Anomaly Reduction Boundary-Based Oversampling for Rule Miner Model in Financial Fraud Detection
Financial fraud continues to threaten the stability of financial institutions and global markets, necessitating advanced detection mechanisms. Although preventative and security measures are implemented to reduce financial fraud, criminals are constantly adapting and devising new ways to evade fraud prevention systems. In this research we introduce AR-Miner, a novel rule-mining framework that integrates Anomaly Reduction Boundary-Based Oversampling (ARBBO) to address class imbalance and redundant anomalies in financial datasets. By extracting high-confidence relational rules and generating synthetic samples within a safe boundary, we hope AR-Miner significantly improves classification performance.
A Comprehensive Phishing Detection Framework Using Machine Learning Techniques
This framework leverages machine learning (ML) to detect phishing attacks by analyzing various features of websites and emails. It employs supervised learning algorithms trained on datasets containing both phishing and legitimate instances, enabling the model to identify patterns indicative of phishing. Key features analyzed include URL characteristics, website content, and metadata. The framework emphasizes real-time detection, adaptability to new phishing strategies, and scalability to handle large volumes of data. By continuously learning from new data, the ML models enhance their accuracy and efficiency in identifying and mitigating phishing threats.
This research aims a detailed framework for detecting phishing through a URL-based methodology, wherein features derived from URLs are evaluated utilizing machine learning techniques.
Research Interest: Cryptography, Information Security, AI driven Cyber Security, Blockchain technology, Algorithm design & Analysis, Computer Networks
| Date | Institution name | Country | Title |
|---|---|---|---|
| 2010 - 2014 | Macquarie University | Australia | PhD |
| 2006 - 2008 | Kyung Hee University | South Korea | MSc Engineering |
| 1999 - 2004 | Chittagong University of Engineering & Technology | Bangladesh | BSc Engineering |
| Year | Citation |
|---|---|
| 2024 | Islam, S., Haque, M. M., & Karim, A. N. M. R. (2024). A rule-based machine learning model for financial fraud detection. International Journal of Electrical and Computer Engineering, 14(1), 759-771. Scopus44 |
| 2023 | Reno, S., & Haque, M. M. (2023). Solving blockchain trilemma using off-chain storage protocol. IET Information Security, 17(4), 681-702. Scopus29 WoS20 |
| 2022 | Biswas, C., Haque, M. M., & Das Gupta, U. (2022). A Modified Key Sifting Scheme with Artificial Neural Network Based Key Reconciliation Analysis in Quantum Cryptography. IEEE Access, 10, 72743-72757. Scopus19 WoS5 |
| 2022 | Haque, M. M., Sarker, S., & Dewan, M. A. A. (2022). Driving maneuver classification from time series data: a rule based machine learning approach. Applied Intelligence, 52(14), 16900-16915. Scopus16 WoS11 |
| 2021 | Hossain, M. K., Haque, M. M., & Dewan, M. A. A. (2021). A comparative analysis of semi-supervised learning in detecting burst header packet flooding attack in optical burst switching network. Computers, 10(8), 95. Scopus4 WoS3 |
| 2021 | Sarker, S., Haque, M. M., & Dewan, M. A. A. (2021). Driving Maneuver Classification Using Domain Specific Knowledge and Transfer Learning. IEEE Access, 9, 86590-86606. Scopus7 WoS7 |
| 2020 | Hossain, M. K., & Haque, M. M. (2020). Semi-supervised learning approach using modified self-training algorithm to counter burst header packet flooding attack in optical burst switching network. International Journal of Electrical and Computer Engineering, 10(4), 4340-4351. Scopus4 |
| 2019 | Forhad, M. S. A., Hossain, M. S., Rahman, M. O., Rahaman, M. M., Haque, M. M., & Patwary, M. K. H. (2019). An improved fitness function for automated cryptanalysis using genetic algorithm. Indonesian Journal of Electrical Engineering and Computer Science, 13(2), 643-648. Scopus14 |
| 2019 | Deb, S., & Haque, M. M. (2019). Elliptic curve and pseudo-inverse matrix based cryptosystem for wireless sensor networks. International Journal of Electrical and Computer Engineering, 9(5), 4479-4492. Scopus5 |
| 2019 | Haque, M. M., & Rahman, M. O. (2019). Analyzing Progressive-BKZ Lattice Reduction Algorithm. International Journal of Computer Network and Information Security, 11(1), 40-46. Scopus2 |
| 2019 | Patwary, M. K. H., & Haque, M. M. (2019). A semi-supervised machine learning approach using K-means algorithm to prevent burst header packet flooding attack in optical burst switching network. Baghdad Science Journal, 16(3), 804-815. Scopus8 WoS6 |
| 2018 | Haque, M. M., & Pieprzyk, J. (2018). Preprocessing optimisation: Revisiting recursive-BKZ lattice reduction algorithm. Iet Information Security, 12(6), 551-557. |
| 2018 | Chowdhury, A., Shankaran, R., Kavakli, M., & Haque, M. M. (2018). Sensor Applications and Physiological Features in Drivers' Drowsiness Detection: A Review. IEEE Sensors Journal, 18(8), 3055-3067. Scopus184 WoS133 |
| 2017 | Haque, M. M., & Pieprzyk, J. (2017). Analysing recursive preprocessing of BKZ lattice reduction algorithm. Iet Information Security, 11(2), 114-120. Scopus3 WoS2 |
| 2008 | Haque, M. M., Pathan, A. S., Hong, C. S., & Huh, E. N. (2008). An asymmetric key-based security architecture for wireless sensor networks. Ksii Transactions on Internet and Information Systems, 2(5), 265-279. Scopus27 WoS12 |
| Year | Citation |
|---|---|
| 2025 | Ahmed Nabin, J., & Haque, M. M. (2025). A Novel File Entropy Dataset for Crypto-Ransomware Detection Using Machine Learning. In Lecture Notes in Networks and Systems (Vol. 1235 LNNS, pp. 299-314). Springer Nature Singapore. DOI Scopus1 |
| 2025 | Nath, A. D., & Haque, M. M. (2025). Toward Deep Autoencoder for Recommendation System Using Implicit Feedback. In Data Driven Applications for Emerging Technologies (pp. 1-14). CRC Press. DOI |
| 2025 | Biplob, M. B., & Haque, M. M. (2025). Development of a Deep Learning Classification Model for Improved Rainfall Prediction in Ireland. In Data Driven Applications for Industry 4 0 and Beyond (pp. 187-201). Chapman and Hall/CRC. DOI |
| 2023 | Talukder, D., & Haque, M. M. (2023). A machine learning approach to clinically diagnose human pyrexia cases. In N. Siddique, M. Shamsul Arefin, & A. S. M. Kaiser (Eds.), Applied Intelligence for Industry 4.0 (pp. 90-103). Chapman and Hall/CRC. DOI |
| 2022 | Badiuzzaman Biplob, M., & Mokammel Haque, M. (2022). Development of an Efficient ETL Technique for Data Warehouses. In F. Xhafa, & R. Herrero (Eds.), Lecture Notes on Data Engineering and Communications Technologies (Vol. 95, pp. 243-255). Springer Singapore. DOI |
| 2020 | Patwary, M. K. H., & Mokammel Haque, M. (2020). A semi-supervised approach to detect malicious nodes in OBS network dataset using gaussian mixture model. In J. Kacprzyk (Ed.), Lecture Notes in Networks and Systems (Vol. 89, pp. 707-719). Springer Singapore. DOI Scopus3 WoS2 |
| Year | Citation |
|---|---|
| 2024 | Provat, A. A., & Haque, M. M. (2024). An Efficient Lightweight Cryptosystem Using Substitution-Shuffling Based Key Generation. In 2023 26th International Conference on Computer and Information Technology, ICCIT 2023 (pp. 1-6). Cox's Bazar, Bangladesh: IEEE. DOI |
| 2024 | Reno, S., & Haque, M. M. (2024). An Off-Chain-Based Blockchain with Improved Decentralization. In International Conference on Computer and Information Technology, ICCIT 2023 (pp. 1-6). Cox's Bazar, Bangladesh: IEEE. DOI Scopus3 |
| 2024 | Gupta, U. D., Haque, M. M., Reza, A. W., & Arefin, M. S. (2024). Profit Demand Delegated Proof of Stake: Hypothetical Design Concept for Blockchain. In 2024 IEEE Conference on Computing Applications and Systems, COMPAS 2024 (pp. 1-6). Bangladesh: IEEE. DOI |
| 2024 | Biplob, M. B., & Haque, M. M. (2024). An Efficient Machine Learning Classification Model for Rainfall Prediction in Bangladesh. In Lecture Notes in Networks and Systems Vol. 867 LNNS (pp. 169-180). Dhaka: Springer Nature Singapore. DOI Scopus2 |
| 2023 | Rimon, S. I., & Haque, M. M. (2023). Malware Detection and Classification Using Hybrid Machine Learning Algorithm. In Lecture Notes in Networks and Systems Vol. 569 LNNS (pp. 419-428). Virtual, online: Springer International Publishing. DOI Scopus5 |
| 2023 | Uddin, M. A., Shahriar, K. T., Haque, M. M., & Sarker, I. H. (2023). Cyber-Attack Detection Through Ensemble-Based Machine Learning Classifier. In Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST Vol. 491 LNICST (pp. 386-396). Noakhali, Bangladesh: Springer Nature Switzerland. DOI Scopus1 |
| 2023 | Reno, S., & Haque, M. M. (2023). Utilizing Off-Chain Storage Protocol for Solving the Trilemma Issue of Blockchain. In Advances in Intelligent Systems and Computing (pp. 169-179). Kolkata, India: Springer. DOI |
| 2022 | Shaha, R., Talukder, D., Iqbal, M. A., & Haque, M. M. (2022). TOS: A Relative Metric Approach for Model Selection in Machine Learning Solutions. In Proceedings of 2021 IEEE International Conference on Robotics, Automation, Artificial-Intelligence and Internet-of-Things, RAAICON 2021 (pp. 26-31). Dhaka, Bangladesh: IEEE. DOI Scopus5 |
| 2021 | Talukder, D., Jahara, F., Barua, S., & Haque, M. M. (2021). OkkhorNama: BdSL Image Dataset for Real Time Object Detection Algorithms. In TENSYMP 2021 - 2021 IEEE Region 10 Symposium (pp. 1-6). Jeju, Korea, Republic of: IEEE. DOI Scopus11 WoS5 |
| 2021 | Bhowmik, C., Momin, M. A. I., Shanta, F. J., & Haque, M. M. (2021). Database Security as a Gateway to Privacy Preserving Data Mining. In International Conference on Robotics, Electrical and Signal Processing Techniques (pp. 125-130). DHAKA, Bangladesh: IEEE. DOI Scopus3 |
| 2021 | Sarker, S., & Haque, M. M. (2021). An Approach Towards Domain Knowledge-Based Classification of Driving Maneuvers with LSTM Network. In Proceedings of International Joint Conference on Advances in Computational Intelligence (pp. 469-484). Bangladesh: Springer Singapore. DOI |
| 2020 | Sarker, S., & Haque, M. M. (2020). A data change rule based empirical framework for labeling unlabeled time series driving data. In 2020 2nd International Conference on Advanced Information and Communication Technology, ICAICT 2020 (pp. 476-479). Dhaka, Bangladesh: IEEE. DOI Scopus1 |
| 2019 | Biswas, C., Gupta, U. D., & Haque, M. M. (2019). An Efficient Algorithm for Confidentiality, Integrity and Authentication Using Hybrid Cryptography and Steganography. In 2nd International Conference on Electrical Computer and Communication Engineering Ecce 2019 (pp. 1-5). IEEE. DOI Scopus44 |
| 2019 | Mahmud, N., & Haque, M. M. (2019). Solving Multiple Depot Vehicle Routing Problem (MDVRP) using Genetic Algorithm. In 2nd International Conference on Electrical Computer and Communication Engineering Ecce 2019 (pp. 1-6). IEEE. DOI Scopus13 |
| 2019 | Naher, N., Asaduzzaman., & Haque, M. M. (2019). Authentication of diffie-hellman protocol against man-in-the-middle attack using cryptographically secure CRC. In Advances in Intelligent Systems and Computing Vol. 811 (pp. 139-150). Springer Singapore. DOI Scopus8 |
| 2018 | Quaum, M. A., Uddin Haider, S., & Haque, M. M. (2018). An Improved Asymmetric Key Based Security Architecture for WSN. In International Conference on Computer Communication Chemical Material and Electronic Engineering Ic4me2 2018 (pp. 1-5). IEEE. DOI Scopus1 |
| 2017 | Islam, M. M., Paul, S., & Haque, M. M. (2017). Reducing network overhead of IoTDTLS protocol employing ChaCha20 and Poly1305. In 20th International Conference of Computer and Information Technology Iccit 2017 Vol. 2018-January (pp. 1-7). IEEE. DOI Scopus3 |
| 2017 | Biswas, C., Das Gupta, U., & Haque, M. (2017). A Hierarchical Key Derivative Symmetric Key Algorithm using Digital Logic. In Ecce 2017 International Conference on Electrical Computer and Communication Engineering (pp. 604-609). BANGLADESH, Coxs Bazar: IEEE. DOI Scopus4 |
| 2017 | Haque, M., Sheikh, J., & Rashid, J. A. (2017). An improved steganographic technique based on diamond encoding method. In Ecce 2017 International Conference on Electrical Computer and Communication Engineering (pp. 583-588). BANGLADESH, Coxs Bazar: IEEE. DOI Scopus2 WoS1 |
| 2016 | Chowdhury, A., Tanzila, F. A., Chowdhury, S., & Haque, M. M. (2016). A secret key-based security architecture for wireless sensor networks. In 1st International Conference on Computer and Information Engineering Iccie 2015 (pp. 79-82). BANGLADESH, Rajshahi: SPRINGER-VERLAG BERLIN. DOI WoS1 |
| 2016 | Mokammel Haque, M., & Pieprzyk, J. (2016). Optimizing preprocessing method of recursive-BKZ lattice reduction algorithm. In 2nd International Conference on Electrical Information and Communication Technologies Eict 2015 (pp. 19-23). BANGLADESH, Khulna: IEEE. DOI |
| 2016 | Chowdhury, A., Tanzila, F. A., Chowdhury, S., & Haque, M. M. (2016). An efficient security architecture for Wireless Sensor Networks using pseudo-inverse matrix. In 2015 18th International Conference on Computer and Information Technology Iccit 2015 (pp. 396-400). BANGLADESH, Dhaka: IEEE. DOI Scopus5 WoS4 |
| 2015 | Haque, M. M., & Pieprzyk, J. (2015). Evaluating the performance of the practical lattice reduction algorithms. In 8th International Conference on Electrical and Computer Engineering Advancing Technology for A Better Tomorrow Icece 2014 (pp. 341-344). BANGLADESH, Dhaka: IEEE. DOI |
| 2014 | Haque, M. M., Pieprzyk, J., & Asaduzzaman. (2014). Predicting tours and probabilistic simulation for BKZ lattice reduction algorithm. In 2014 9th International Forum on Strategic Technology Ifost 2014 (pp. 1-4). BANGLADESH, Coxs Bazar: IEEE. DOI WoS12 |
| 2008 | Haque, M. M., Pathan, A. S. K., & Hong, C. S. (2008). Securing U-healthcare sensor networks using public key based scheme. In International Conference on Advanced Communication Technology Icact Vol. 2 (pp. 1108-1111). SOUTH KOREA, Phoenix Pk: IEEE. DOI Scopus30 WoS16 |
| 2007 | Pathan, A. S. K., Ryu, J. H., Haque, M. M., & Hong, C. S. (2007). Security management in wireless sensor networks with a public key based scheme. In S. Ata, & C. S. Hong (Eds.), Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 4773 LNCS (pp. 503-506). JAPAN, Sapporo: SPRINGER-VERLAG BERLIN. DOI Scopus1 |
| 2007 | Haque, M. M., Pathan, A. S. K., Choi, B. G., & Hong, C. S. (2007). An efficient PKC-based security architecture for wireless sensor networks. In Proceedings IEEE Military Communications Conference MILCOM (pp. 1-7). IEEE. DOI Scopus7 |
| 2007 | Haque, M. M., Pathan, A. -S. K., Choi, B. G., & Hong, C. S. (2007). An efficient PKC-based security architecture for wireless sensor networks. In 2007 IEEE MILITARY COMMUNICATIONS CONFERENCE, VOLS 1-8 (pp. 1722-1728). FL, Orlando: IEEE. |
Trimester 3, 2025
COMP SCI 7101A, 7101A Cyber Security Research Project (Supervisor)
COMP SCI 7102A, 7102A Cyber Security Industry Project (Supervisor)
Semester 2, 2025
COMP SCI 1500 Cyber Security (Course Coordinator & Lecturer)
COMP SCI 1013 Introduction to Computer Systems, Network & Security (Course Coordinator and Lecturer)
Trimester 2, 2025
COMP SCI 7101A, 7101A Cyber Security Research Project (Supervisor)
COMP SCI 7102A, 7102A Cyber Security Industry Project (Supervisor)
Semester 1, 2025
COMP SCI 3308_7308 Advanced Cyber Security: Techniques & Concepts (Course Coordinator & Lecturer)
Trimester 1, 2025
COMP SCI 7308 Advanced Cyber Security: Techniques & Concepts (Course Coordinator & Lecturer)
COMP SCI 7328 Concepts in Cyber Security (Course Coordinator & Lecturer)
Trimester 3, 2024
COMP SCI 7101A, 7101B Cyber Security Research Project (Course Coordinator and Supervisor)
COMP SCI 7102A, 7102B Cyber Security Industry Project (Course Coordinator and Supervisor)
Semester 2, 2024
COMP SCI 1013 Introduction to Computer Systems, Network & Security (Lecturer and Course Coordinator)
COMP SCI 1500 Cyber Security (Lecturer and Course Coordinator)
COMP SCI 3307_7307 Secure Programming (Tutor)
Trimester 2, 2024
COMP SCI 7307 Secure Programming (Tutor)
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