A/2, Jahurul Islam Avenue
Jahurul Islam City, Aftabnagar
Dhaka-1212, Bangladesh
PhD in Cybersecurity, Federation University Australia
MSc in Internetworking, University of Technology Sydney (UTS), Australia
BSc in Computer Science and IT, Islamic University of Technology (IUT), Bangladesh
Dr. Mohammad Manzurul Islam received M.Sc. degree in Internetworking from the University of Technology Sydney, Australia in 2013 and Ph.D. degree in Cybersecurity from Federation University Australia in 2021. He is an Assistant professor at East West University Bangladesh. He served over 16+ years in many organisations, including universities (Monash University Australia, Federation University Australia, Canadian University Bangladesh, Stamford University Bangladesh) and IT industries (ZTE Corporation, Robi-Axiata Limited). His research interest includes machine learning, data analysis, IoT and cybersecurity.
Academic experience (12 years)
2022-current: East West University
2021–2022 Monash University, Teaching Associate
2019–2021 Federation University Australia, Sessional Academic
Teams, Adobe Connect), assessment grading, marking, student consultation.
Solving, Communications and Technology.
2014–2022 & 2005–2007 Stamford University Bangladesh, Assistant Professor
development, deliver lectures, prepare assessment specification, marking, supervise research students, manage Cisco NetAcad, academic administration, maintain industry collaboration.
Intelligence, Visual and Internet Programming.
2012 University of Technology Sydney, Tutor
Industry experience (5 years)
2010–2011 Abacus Services Limited, ICT Specialist
Abacus Services Limited is a group of companies. It has multiple businesses across Bangladesh. Key responsibilities include the overall ICT systems design and operation (analyse existing ICT systems and the user experience, identify user needs, limitations within the existing ICT systems, and develop software for insightful reports).
2009–2010 Robi-Axiata Ltd, Engineer, Intelligent Network Operation
Robi-Axiata is a multinational telecommunication operator company jointed owned by Robi (Bangladesh), Axiata (Malaysia), and NTT DoCoMo (Japan). Key responsibilities include designing and developing the artificial intelligence (AI) of the network to provide a state-of-the-art user experience and securing the system from cyberattacks.
2007–2009 ZTE Corporation, System Engineer
ZTE Corporation is a telecommunication vendor company having business all over the globe. Key responsibilities include configuration of Unix servers, IP network, firewalls and security policy.
Cybersecurity, Trust, ML/AI, IoT
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1. |
Jabid, T., Masum, S., Shams, R. A., Chowdhury, A., Islam, M. M., Ferdaus, M. H., ... & Islam, M. (2024). A brief history of ransomware. In Ransomware Evolution (pp. 3-17). CRC Press. |
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Jabid, T., Rashid, M. R. A., Ferdaus, M. H., Ali, M. S., Islam, M. M., Hasan, M., ... & Islam, M. (2024). Ransomware prevention strategies: Building robust cyber defenses. In Ransomware Evolution (pp. 144-171). CRC Press. |
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3. |
Islam, M. M., Morshed, M. A., Masum, S., Ferdaus, M. H., Islam, M., Ali, M. S., & Jabid, T. (2025). Data Breaches and Trends in Internet of Health Things. In Cybersecurity for Internet of Health Things (pp. 29-55). CRC Press. |
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4. |
Islam, M., Rashid, M. R. A., Tuhin, R. A., Rasel, M. K., Rafa, S. N., Ali, S., Jabid, T., Islam, M.M., & Ferdaus, H. (2025). Sustainable Healthcare Cybersecurity Solutions for the Internet of Health Things. In Cybersecurity for Internet of Health Things (pp. 133-166). CRC Press. |
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5. |
Ferdaus, M. H., Alharbi, F., Rashid, M. R. A., Rasel, M. M. K., Jabid, T., Ali, M. S., Islam, M.M., Islam, M., & Buyya, R. (2025). Artificial Intelligence, Privacy, Governance, and Ethics for the Internet of Healthcare Things. In Cybersecurity for Internet of Health Things (pp. 289-306). CRC Press. |
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6. |
Ferdaus, M. H., Alharbi, F., Bevinakoppa, S., Ali, M. S., Islam, M. M., Islam, M., ... & Buyya, R. (2025). Responsible IoHT Ecosystem for Smart Healthcare. In Cybersecurity for Internet of Health Things (pp. 223-288). CRC Press. |
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7. |
Ferdaus, M. H., Kaosar, M. G., Alharbi, F., Ali, M. S., Islam, M. M., Buyya, R. (2026), The Digital Face of Espionage: Analyzing Cyber Threats to National Security. In Cyber Espionage and National Security Challenges, Springer Nature. |
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8. |
Islam, M. M. , Morsheda, M. A., Kamal, K. M. S., Ferdaus, M. H. (2026), AI and Espionage: AI for Spyware Development. In Cyber Espionage and National Security Challenges, Springer Nature. |
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1. |
Islam, M. M., Karmakar, G., Kamruzzaman, J., Murshed, M., Kahandawa, G., & Parvin, N. (2018, December). Detecting splicing and copy-move attacks in color images. In 2018 Digital Image Computing: Techniques and Applications (DICTA) (pp. 1-7). IEEE. |
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2. |
Islam, M. M., Kamruzzaman, J., Karmakar, G., Murshed, M., & Kahandawa, G. (2018, November). Passive detection of splicing and copy-move attacks in image forgery. In International Conference on Neural Information Processing (pp. 555-567). Springer International Publishing. |
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3. |
Islam, M. M., Karmakar, G., Kamruzzaman, J., & Murshed, M. (2019, August). Measuring trustworthiness of IoT image sensor data using other sensors’ complementary multimodal data. In 2019 18th IEEE International Conference on Trust, Security And Privacy In Computing And Communications/13th IEEE International Conference on Big Data Science And Engineering (TrustCom/BigDataSE) (pp. 775-780). IEEE. |
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4. |
Ghose, P., Uddin, M. A., Islam, M. M., Islam, M., & Acharjee, U. K. (2022, December). A breast cancer detection model using a tuned SVM classifier. In 2022 25th International Conference on Computer and Information Technology (ICCIT) (pp. 102-107). IEEE. |
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5. |
Vasker, N., Sowrov, A. R. A., Hasan, M., Ali, M. S., Rashid, M. R. A., & Islam, M. M. (2023, August). Unmasking ovary tumors: Real-time detection with yolov5. In 2023 4th International Conference on Big Data Analytics and Practices (IBDAP) (pp. 1-6). IEEE. |
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6. |
Nath, S., Islam, M. M., Chowdhury, A., Rashid, M. R. A., Islam, M., Jabid, T., & Naha, R. (2023, October). Comprehensive Analysis of Feature Extraction Techniques and Runtime Performance Evaluation for Phishing Detection. In 2023 6th International Conference on Applied Computational Intelligence in Information Systems (ACIIS) (pp. 1-6). IEEE. |
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7. |
Datta, N., Sultan Mahmud Rana, G. M., Datta, A., Sawkat Ali, M., Chowdhury, A., Islam, M. M., & Hasan, M. (2023). MedBot: An IoT-Based Real-Time Healthcare Monitoring and Telemedicine Solution System. Int. Conference on Cyber Intelligence and Information Retrieval, 287–296. |
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8. |
Islam, M., Islam, M. M., Ali, M. S., Niloy, N. T., Chowdhury, A., & Avik, S. C. (2023, December). Ensemble Method for Predicting Student Performance and Dropout Risk. In International Conference on Recent Advances in Artificial Intelligence & Smart Applications (pp. 269-278). Singapore: Springer Nature Singapore. |
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9. |
Chowdhury, A., Islam, M. M., Kaisar, S., Khoda, M. E., Naha, R., Khoshkholghi, M. A., & Aiash, M. (2023, November). Leveraging oversampling techniques in machine learning models for multi-class malware detection in smart home applications. In 2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (pp. 2216-2221). IEEE. |
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10. |
Masum, S., Shafin, S. S., Islam, M. M., & Chowdhury, A. (2024, December). Securing Electric Vehicle Charging Infrastructure: Attack Identification Using Machine Learning. In 2024 International Conference on Sustainable Technology and Engineering (i-COSTE) (pp. 1-6). IEEE. |
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11. |
Hasan, A., Sarker, S., Bhowmik, A., Ahmed, P., Chowdhury, A., & Islam, M. M. (2024, December). Advanced Particle Swarm Optimization: An Innovative Approach Towards Addressing Constrained Optimization Challenges. In 2024 IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE) (pp. 349-354). IEEE. |
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12. |
Ahsan, A., Islam, M. M., Chowdhury, A., Ali, M. S., Jabid, T., & Islam, M. (2024, November). Unmasking Harmful Comments: An Approach to Text Toxicity Classification Using Machine Learning in Native Language. In 2024 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT) (pp. 184-189). IEEE. |
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1. |
Islam, M. M., Karmakar, G., Kamruzzaman, J., & Murshed, M. (2020). A robust forgery detection method for copy–move and splicing attacks in images. Electronics, 9(9), 1500. |
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2. |
Islam, M. M., Jaigirdar, F., Islam, M.M. (2015). Maximizing Network Interruption in Wireless Sensor Network: An Intruder’s Perspective. International Journal of Computer Networks & Communications. |
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3. |
Rizvee, R. A., Orpa, T. H., Ahnaf, A., Kabir, M. A., Rashid, M. R. A., Islam, M. M., Islam, M., Jabid, T., & Ali, M. S. (2023). LeafNet: A proficient convolutional neural network for detecting seven prominent mango leaf diseases. Journal of Agriculture and Food Research, 14, 100787. |
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Mukto, M. M., Hasan, M., Al Mahmud, M. M., Haque, I., Ahmed, M. A., Jabid, T., Ali, M. S., Rashid, M. R. A., Islam, M. M., & Islam, M. (2024). Design of a real-time crime monitoring system using deep learning techniques. Intelligent Systems with Applications, 21, 200311. |
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5. |
Islam, M. M., Karmakar, G. C., Kamruzzaman, J., Murshed, M., & Chowdhury, A. (2024). Trustworthiness of iot images leveraging with other modal sensor’s data. IEEE Internet of Things Journal, 12(1), 163–173. |
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6. |
Islam, M. M., Rahman, S., Hoque, N., Al Mamun, M., Moheuddin, M. S., Ali, M. S., Rashid, M. R. A., Masum, S., Ferdaus, M. H., Niloy, N. T., & others. (2024). REMP: A unique dataset of rare and endangered medicinal plants in Bangladesh for sustainable healing and biodiversity conservation. Data in Brief, 57, 110895. |
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Ali, M. S., Rashid, M. R. A., Hossain, T., Kabir, M. A., Kamrul, M., Aumy, S. H. B., Mridha, M. H., Sajeeb, I. H., Islam, M. M., & Jabid, T. (2024). A comprehensive dataset of rice field weed detection from Bangladesh. Data in Brief, 57, 110981. |
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Islam, M. M., Ahmed, M. J., Shafi, M. Bin, Das, A., Hasan, M. R., Al Rafi, A., Rashid, M. R. A., Niloy, N. T., Ali, M. S., Chowdhury, A., & others. (2025). BDMANGO: An image dataset for identifying the variety of mango based on the mango leaves. Data in Brief, 58, 111241. |
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Niloy, N. T., Ahmed, M. R., Ananna, S. S., Kater, S., Shorna, I. J., Sneha, S. I., Ferdaus, M. H., Islam, M. M., Rashid, M. R. A., Jabid, T., & others. (2024). CottonFabricImageBD: An image dataset characterized by the percentage of cotton in a fabric for computer vision-based garment recycling. Data in Brief, 55, 110712. |
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10. |
Kamal Rasel, M., Hasan, M., Rifat Ahmmad Rashid, M., Hasanul Ferdaus, M., Ariful Islam, M., Islam, M. M., Sawkat Ali, M., & Islam, M. (2024). DecentraLend: A Blockchain-based Monetization for Decentralized Lending System. In International Journal of Computing and Digital Systems (Vol. 15, Issue 1, pp. 1679–1690). University of Bahrain. |
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11. |
Rashid, M. R. A., Hasan, M., Islam, M. A., Tasnim, S. T., Taifa, R. J., Mahbub, S., Mansoor, N., Ali, M. S., Jabid, T., Islam, M., & Islam, M.M. (2024). Transforming agri-food value chains in Bangladesh: A practical application of blockchain for traceability and fair pricing. Heliyon, 10(21). |
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12. |
Tahsin, M., Matin, M. M. H., Khandaker, M., Reemu, R. S., Arnab, M. I., Rashid, M. R. A., Rasel, M. M. K., Islam, M. M., Islam, M., & Ali, M. S. (2024). An extensive image dataset for deep learning-based classification of rice kernel varieties in Bangladesh. Data in Brief, 57, 111109. |
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13. |
Islam, M., Niloy, N. T., Hasan, I., Rupin, R. J., Chowdhury, M., Fahim, S. F., Ashhab, M. M., Islam, M. M., Ali, M. S., & Rashid, M. R. A. (2024). An extensive photographic dataset to classify laptop components for automating e-waste management by recycling old laptops. Data in Brief, 57, 111122. |
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14. |
Ferdaus, M. H., Prito, R. H., Rasel, A. A. S., Ahmed, M., Saykot, M. J. H., Shanta, S. S., Akter, S., Das, A. C., Islam, M. M., Hasan, M., & others. (2025). BananaImageBD: A comprehensive banana image dataset for classification of banana varieties and detection of ripeness stages in Bangladesh. Data in Brief, 58, 111239. |
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15. |
Rahman, M. A., Jahan, I., Islam, M., Jabid, T., Ali, M. S., Rashid, M. R. A., Islam, M. M., Ferdaus, M. H., Rasel, M. M. K., Jahan, M. R., & others. (2025). Improving sleep disorder diagnosis through optimized machine learning approaches. IEEE Access. |
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16. |
Islam, M. M., Das, A., Shams, K., Hasan, M. R., Hasan, K. F., Rashid, M. R. A., Chowdhury, A., Ali, M. S., Islam, M., Shahjalal, M., & others. (2025). TFP-BD: An image dataset for Traffic Flow and Pedestrian movement analysis on Bangladeshi urban roads. Data in Brief, 59, 111398. |
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17. |
Hossain, M. S., Rashid, M. R. A., Fahim, M., Ali, M. S., Islam, M., Islam, M. M., Ferdaus, M. H., Niloy, N. T., & others. (2025). Drone-based dataset of annotated sunflower images from Bangladesh. Data in Brief, 59, 111417. |
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18. |
Tahsin, M., Ibrahim, M., Nafisa, A. T., Nuha, M. B. R., Arnab, M. I., Ferdaus, M. H., Islam, M.M., ... & Niloy, N. T. (2025). PaddyVarietyBD: Classifying paddy variations of Bangladesh with a novel image dataset. Data in Brief, 60, 111514. |
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19. |
Rashid, M. R. A., Korim, M. A. E., Hasan, M., Ali, M. S., Islam, M. M., Jabid, T., ... & Islam, M. (2025). An Ensemble Learning Framework with Explainable AI for interpretable leaf disease detection. Array, 26, 100386. |
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20. |
Islam, M., Islam, M., Suny, A., Al Rafi, A., Chowdhury, A., Islam, M. M., Masum, S., Ali, M. S., Jabid, T., & Rasel, M. M. K. (2025). Dry fruit image classification using stacking ensemble model. Journal of Agriculture and Food Research, 21, 101850. |
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21. |
Islam, M. M., Sarker, A., Choudhury, A., Ahmed, N., Shafi, A. A., Niloy, N. T., Hossain, M. S., Ali, M. S., Chowdhury, A., & Ferdaus, M. H. (2025). ShrimpDiseaseBD: An image dataset for detecting shrimp diseases in the aquaculture sector of Bangladesh. Data in Brief, 60, 111553. |
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22. |
Rizvee, R. A., Farrok, O., Hasan, M., Farhan, F., Islam, M. H., Hasan, M. K., Rahman, A., Islam, M., Ali, M. S., Jabid, T., & others. (2025). Revival of Muslin by Phuti Karpas Plant Identification with Convolution Neural Network. Array, 100428. |
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23. |
Islam, M. M., Niva, M. N. J., Chowdhury, A., Masum, S., Shams, R. A., Jabid, T., Ali, M. S., Rasel, M. M. K., & Mridha, M. F. (2025). A two-stage model for enhanced mango leaf disease detection using an innovative handcrafted spatial feature extraction method and knowledge distillation process. Ecological Informatics, 103365. |
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24. |
Ferdaus, M. H., Prito, R. H., Ahmed, M., Islam, M. M., Ali, M. S., Ibrahim, M., ... & Rahoman, M. M. (2025). MangoImageBD: An extensive mango image dataset for identification and classification of various mango varieties in Bangladesh. Data in Brief, 111908. |
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25. |
Prito, R. H., Ferdaus, M. H., Ahmed, M.,Haider, L., Hossain, S., Nuzhat, S., Islam, M. M., … & Rahoman, M. M. (2025), DriedFishBD: An Image Dataset of Common Small-Sized Dried Fish Varieties in Bangladesh for Identification and Classification Using Machine Learning and Computer Vision, Data in Brief. |
2025 Best Researcher Award (Department Level),
2025 Best Researcher Award (Faculty Level),
2025 Best Researcher Award (University Level),
East West University Bangladesh
Courses taught at EWU:
CSE103: Structured Programming
CSE303: Statistics for Data Science
CSE475: Machine Learning
Research Director (Academic and Innovation), NGAIRC, Australia (https://ngairc.com/)
Research Activity Coordinator, IEEE CIS Bangladesh Chapter (https://www.ieeecisbdc.org/)
Member, IEEE
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