Abdul Chowdhury

Research Interests

Artificial Intelligence Autonomous Vehicles Computer System Security Knowledge Representation and Machine Learning

Dr Abdul Chowdhury

Online Course Facilitator

Adelaide University Online and Learning Futures

Academic

Dr. Abdullahi Chowdhury is a distinguished academic and researcher with a rich background in IT, cybersecurity, and artificial intelligence. He earned his Doctor of Philosophy degree from Federation University Australia in 2020, complementing his academic journey that includes a Master of Information Technology from Monash University (2006) and a Bachelor of Information Technology from Central Queensland University (2004).
Abdullahi has over a decade of diverse industrial experience, having made significant contributions at Telstra, the Australian Taxation Office, and Australia Post. His academic career includes various roles at Monash University, RMIT University, and Federation University Australia. He worked as a postdoctoral research fellow at The University of Adelaide under the Modelling, Monitoring, and Moderating Human-AI Interactions (M3HAI) project.
He has over 35 publications to his credit, spanning twelve highly reputed journals, twenty international conferences, and three book chapters. His research interests encompass cybersecurity, intelligent transportation systems, data analytics, machine learning, context-free grammar, and artificial intelligence.

Date Position Institution name
2021 - ongoing Postdoctoral Research Fellow University of Adelaide
2021 - 2021 Sessional Academic Royal Melbourne Institute of Technology University
2021 - 2021 Sessional Academic Monash University
2020 - 2021 Sessional Academic Federation University

Date Institution name Country Title
2016 - 2020 Federation University Australia Doctor of Philosophy
2004 - 2006 Monash University Australia Master of Information Technology
2001 - 2004 Central Queensland University Australia Bachelor of Information Technology

Year Citation
2025 Singh, A. K., Pamula, R., Akhter, N., Battula, S. K., Naha, R., Chowdhury, A., & Kaisar, S. (2025). Intelligent transportation system for automated medical services during pandemic. Future Generation Computer Systems, 163, 1-12.
DOI Scopus3 WoS3
2025 Islam, M. M., Ahmed, M. J., Shafi, M. B., Das, A., Hasan, M. R., Rafi, A. A., . . . Rasel, A. A. S. (2025). BDMANGO: An image dataset for identifying the variety of mango based on the mango leaves. Data in Brief, 58(111241), 1-11.
DOI Scopus4 Europe PMC2
2025 Islam, M. M., Karmakar, G. C., Kamruzzaman, J., Murshed, M., & Chowdhury, A. (2025). Trustworthiness of IoT images leveraging with other modal sensor's data. Ieee Internet Of Things Journal, 12(1), 163-173.
DOI Scopus2 WoS1
2025 Islam, M. M., Sarker, A., Choudhury, A., Ahmed, N., Shafi, A. A., Niloy, N. T., . . . Ferdaus, M. H. (2025). ShrimpDiseaseBD: An image dataset for detecting shrimp diseases in the aquaculture sector of Bangladesh. Data in Brief, 60, 111553.
DOI Scopus2 Europe PMC1
2025 Chowdhury, A., Shafin, S. S., Masum, S., Kamruzzaman, J., & Dong, S. (2025). Secure electric vehicle charging infrastructure in smart cities: a blockchain-based smart Contract approach. Smart Cities, 8(1), 1-33.
DOI Scopus9 WoS8
2025 Islam, M. M., Das, A., Shams, K., Hasan, M. R., Hasan, K. F., Rashid, M. R. A., . . . Masum, S. (2025). TFP-BD: An image dataset for Traffic Flow and Pedestrian movement analysis on Bangladeshi urban roads. Data in Brief, 59, 111398.
DOI
2025 Islam, M., Islam, M., Suny, A., Al Rafi, A., Chowdhury, A., Islam, M. M., . . . Rasel, M. M. K. (2025). Dry fruit image classification using stacking ensemble model. Journal of Agriculture and Food Research, 21(101850), 1-12.
DOI Scopus1 WoS1
2025 Islam, M. M., Niva, M. N. J., Chowdhury, A., Masum, S., Shams, R. A., Jabid, T., . . . 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, 91, 103365.
DOI
2024 Chowdhury, A., Jahan, M., Kaisar, S., Khoda, M. E., Rajin, S. M. A. K., & Naha, R. (2024). Coral reef surveillance with machine learning: a review of datasets, techniques, and challenges. Electronics, 13(24), 1-20.
DOI Scopus5 WoS4
2024 Amin, M. A., Naznin, F., Yeasmin, M. N., Sarkar, M. S., Mia, M. M., Chowdhury, A., & Islam, M. Z. (2024). High throughput biological sequence analysis using machine learning-based integrative pipeline for extracting functional annotation and visualization. F1000Research, 13(161), 1-23.
DOI
2024 Kaisar, S., Rashid, M. M., Chowdhury, A., Shafin, S. S., Kamruzzaman, J., & Diro, A. (2024). Enhancing Telemarketing Success Using Ensemble-Based Online Machine Learning. Big Data Mining and Analytics, 7(2), 294-314.
DOI Scopus2 WoS1
2023 Edris, E. K. K., Aiash, M., Khoshkholghi, M. A., Naha, R., Chowdhury, A., & Loo, J. (2023). Performance and cryptographic evaluation of security protocols in distributed networks using applied pi calculus and Markov Chain. Internet of Things (Netherlands), 24(100913), 1-20.
DOI Scopus8 WoS5
2023 Chowdhury, A., Karmakar, G., Kamruzzaman, J., Das, R., & Newaz, S. H. S. (2023). An Evidence Theoretic Approach for Traffic Signal Intrusion Detection. Sensors, 23(10), 4646.
DOI Scopus6 WoS5
2023 Chowdhury, A., Kaisar, S., Khoda, M. E., Naha, R., Khoshkholghi, M. A., & Aiash, M. (2023). IoT-Based Emergency Vehicle Services in Intelligent Transportation System. Sensors, 23(11), 5324.
DOI Scopus38 WoS15 Europe PMC3
2022 Kaisar, S., & Chowdhury, A. (2022). Integrating oversampling and ensemble-based machine learning techniques for an imbalanced dataset in dyslexia screening tests. ICT Express, 8(4), 563-568.
DOI Scopus31 WoS16
2022 Das, R., Karmakar, G., Kamruzzaman, J., & Chowdhury, A. (2022). Measuring Trustworthiness of Smart Meters Leveraging Household Energy Consumption Profile. IEEE Journal of Emerging and Selected Topics in Industrial Electronics, 3(2), 289-297.
DOI Scopus17 WoS12
2021 Karmakar, G., Chowdhury, A., Das, R., Kamruzzaman, J., & Islam, S. (2021). Assessing Trust Level of a Driverless Car Using Deep Learning. IEEE Transactions on Intelligent Transportation Systems, 22(7), 4457-4466.
DOI Scopus60 WoS38
2021 Karmakar, G., Chowdhury, A., Kamruzzaman, J., & Gondal, I. (2021). A Smart Priority-Based Traffic Control System for Emergency Vehicles. IEEE Sensors Journal, 21(14), 15849-15858.
DOI Scopus39 WoS23
2021 Chowdhury, A., Karmakar, G., Kamruzzaman, J., & Islam, S. (2021). Trustworthiness of Self-Driving Vehicles for Intelligent Transportation Systems in Industry Applications. IEEE Transactions on Industrial Informatics, 17(2), 961-970.
DOI Scopus55 WoS42
2020 Chowdhury, A., Karmakar, G., Kamruzzaman, J., Jolfaei, A., & Das, R. (2020). Attacks on self-driving cars and their countermeasures: A survey. IEEE Access, 8(article no. 9257492), 207308-207342.
DOI Scopus137 WoS93
- Chowdhury, A., Chowdhury, A., Hoque, N., -, M., & Jahan, M. (2025). Generative AI: A survey of historical development, emerging trends, and future outlook. Computer Science and Engineering Research, 2(1), 19-31.
DOI

Year Citation
2024 Avik, S. C., Chowdhury, A., Naha, R., Kaisar, S., Arulappan, A., & Mahanti, A. (2024). Recent advancements in IoT security-based challenges: A brief review. In R. Nagarajan (Ed.), Source details - Title: Intelligent Systems and Sustainable Computational Models: Concepts, Architecture, and Practical Applications (pp. 136-149). US: Taylor and Francis.
DOI
2024 Islam, M., Islam, M. M., Ali, M. S., Niloy, N. T., Chowdhury, A., & Avik, S. C. (2024). Ensemble method for predicting student performance and dropout risk. In J. Mandal, M. Hinchey, & S. Chakrabarti (Eds.), Event/exhibition information: First International Conference on Recent Advances in Artificial Intelligence and Smart Applications (RAAISA 2023), Kolkata, India, 14/12/2023-15/12/2023
Source details - Title: Recent Advances in Artificial Intelligence and Smart Applications : Proceedings of RAAISA 2023 (pp. 269-278). Singapore: Springer.
DOI
2024 Jabid, T., Masum, S., Shams, R. A., Chowdhury, A., Islam, M. M., Ferdaus, M. H., . . . Islam, M. (2024). Brief history of ransomware. In Ransomware Evolution (pp. 3-17). CRC Press.
DOI Scopus1
2019 Chowdhury, A., Karmakar, G., & Kamruzzaman, J. (2019). The Co-Evolution of Cloud and IoT Applications: Recent and Future Trends. In S. Singh, & R. M. Sharma (Eds.), Handbook of Research on the IoT, Cloud Computing, and Wireless Network Optimization (Vol. 1, pp. 213-234). Hershey, PA, USA: IGI Global.
DOI
2019 Chowdhury, A., Karmakar, G., & Kamruzzaman, J. (2019). Survey of Recent Cyber Security Attacks on Robotic Systems and Their Mitigation Approaches. In Cyber Law Privacy and Security Concepts Methodologies Tools and Applications (pp. 1426-1441). IGI Global.
DOI Scopus8
2018 Chowdhury, A., Karmakar, G., Kamruzzaman, J., & Saha, T. (2018). Detecting intrusion in the traffic signals of an intelligent traffic system. In Information and Communications Security (Vol. 11149 LNCS, pp. 696-707). Switzerland: Springer International Publishing.
DOI Scopus9
2017 Chowdhury, A., Karmakar, G., & Kamruzzaman, J. (2017). Survey of recent cyber security attacks on robotic systems and their mitigation approaches. In R. Kumar, P. Pattnaik, & P. Pandey (Eds.), Detecting and Mitigating Robotic Cyber Security Risks (pp. 284-299). United States, Beaverton: IGI Global.
DOI Scopus19

Year Citation
2025 Datta, N., Sultan Mahmud Rana, G. M., Datta, A., Sawkat Ali, M., Chowdhury, A., Islam, M. M., & Hasan, M. (2025). MedBot: An IoT-Based Real-Time Healthcare Monitoring and Telemedicine Solution System. In Lecture Notes in Networks and Systems Vol. 1139 (pp. 287-296). Springer Nature Singapore.
DOI
2024 Ahsan, A., Islam, M. M., Chowdhury, A., Ali, M. S., Jabid, T., & Islam, M. (2024). 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 2024 (pp. 184-189). US: IEEE.
DOI
2024 Hasan, A., Sarker, S., Bhowmik, A., Ahmed, P., Chowdhury, A., & Islam, M. M. (2024). Advanced particle swarm optimization: an innovative approach towards addressing constrained optimization challenges. In Proceedings of 2024 IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering, WIECON-ECE 2024 (pp. 349-354). US: IEEE.
DOI
2024 Masum, S., Shafin, S. S., Islam, M. M., & Chowdhury, A. (2024). Securing Electric Vehicle Charging Infrastructure: Attack Identification Using Machine Learning. In 2024 International Conference on Sustainable Technology and Engineering I Coste 2024 (pp. 1-6). IEEE.
DOI
2024 Avik, S. C., Chowdhury, A., Moriwam., Maruf, M. A. A., Naha, R., & Ahammad, I. (2024). AI-Powered Resilience: Addressing the Mental Health Impact of Mass Layoffs in the Digital Age. In 2nd International Conference on Emerging Trends in Information Technology and Engineering, ic-ETITE 2024 (pp. 1-6). Online: IEEE.
DOI Scopus1
2024 Ahmed, P., Yusuf, M. S. U., Sarker, S., Chowdhury, A., Bhowmik, A., & Rahman, F. (2024). A Comparative Study of Different Segmentation and Regression Models for Fetal Head Circumference Measurement. In 2nd International Conference on Emerging Trends in Information Technology and Engineering, ic-ETITE 2024 (pp. 1-6). Online: IEEE.
DOI Scopus3
2024 Chowdhury, A., Islam, M. M., Kaisar, S., Khoda, M. E., Naha, R., Khoshkholghi, M. A., & Aiash, M. (2024). Leveraging Oversampling Techniques in Machine Learning Models for Multi-class Malware Detection in Smart Home Applications. In Proceedings - 2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom/BigDataSE/CSE/EUC/iSCI 2023 (pp. 2216-2221). Online: IEEE.
DOI Scopus1
2023 Chowdhury, A., Nguyen, H., Ashenden, D., & Pogrebna, G. (2023). POSTER: A Teacher-Student with Human Feedback Model for Human-AI Collaboration in Cybersecurity. In Proceedings of the ACM Asia Conference on Computer and Communications Security (pp. 1040-1042). Melbourne, AUSTRALIA: ACM.
DOI Scopus5 WoS1
2023 Chowdhury, A., Naha, R., Kaisar, S., Khoshkholghi, M. A., Ali, K., & Galletta, A. (2023). Information Fusion-based Cybersecurity Threat Detection for Intelligent Transportation System. In Proceedings - 23rd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing Workshops, CCGridW 2023 (pp. 96-103). Online: IEEE.
DOI Scopus2 WoS2
2023 Chowdhury, A., & Nguyen, H. (2023). CoZure: Context Free Grammar Co-Pilot Tool for Finding New Lateral Movements in Azure Active Directory. In Proceedings of the 26th International Symposium on Research in Attacks, Intrusions and Defenses (RAID, 2023) (pp. 426-439). US: ACM.
DOI Scopus1
2023 Chowdhury, A., Kaisar, S., & Naha, R. (2023). Bankruptcy prediction for imbalanced dataset using oversampling and ensemble machine learning methods. In AIP Conference Proceedings Vol. 2968 (pp. 1-10). US: AIP Publishing.
DOI Scopus7
2023 Nath, S., Islam, M. M., Chowdhury, A., Rashid, M. R. A., Islam, M., Jabid, T., & Naha, R. (2023). 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: Intelligent and Resilient Digital Innovations for Sustainable Living, ACIIS 2023 - Proceedings (pp. 6 pages). Online: IEEE.
DOI
2021 Shafin, S. S., Prottoy, S. A., Abbas, S., Hakim, S. B., Chowdhury, A., & Rashid, M. M. (2021). Distributed Denial of Service Attack Detection Using Machine Learning and Class Oversampling. In Applied Intelligence and Informatics First International Conference, AII 2021, Nottingham, UK, July 30–31, 2021, Proceedings Vol. 1435 (pp. 247-259). Switzerland: Springer International Publishing.
DOI Scopus17 WoS9
2021 Chowdhury, A., Kaisar, S., Rashid, M. M., Shafin, S. S., & Kamruzzaman, J. (2021). Churn Prediction in Telecom Industry using Machine Learning Ensembles with Class Balancing. In 2021 IEEE Asia-Pacific Conference on Computer Science and Data Engineering, CSDE 2021 (pp. 6 pages). Piscataway, New Jersey, USA: IEEE.
DOI Scopus8 WoS7
2021 Shafin, S. S., Ahmed, M. M., Pranto, M. A., & Chowdhury, A. (2021). Detection of Android Malware using Tree-based Ensemble Stacking Model. In 2021 IEEE Asia-Pacific Conference on Computer Science and Data Engineering, CSDE 2021 (pp. 6 pages). Piscataway, New Jersey, USA: IEEE.
DOI Scopus14 WoS5
2019 Chowdhury, A., Karmakar, G., & Kamruzzaman, J. (2019). Trusted autonomous vehicle: measuring trust using on-board unit data. In Proceedings - 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 2019 (pp. 787-792). online: IEEE.
DOI Scopus11 WoS8
2018 Rupok, Q. S. S., & Chowdhury, A. (2018). Using e-learning to engage unemployed rural women in aquaculture in Bangladesh to reduce poverty. In ACM International Conference Proceeding Series (pp. 6 pages). New York, NY, USA: Association for Computing Machinery.
DOI Scopus1 WoS2
2017 Chowdhury, A. (2017). Cyber attacks in mechatronics systems based on Internet of Things. In Proceedings - 2017 IEEE International Conference on Mechatronics, ICM 2017 (pp. 476-481). US: IEEE.
DOI Scopus3 WoS3
2016 Chowdhury, A. (2016). Recent cyber security attacks and their mitigation approaches - An overview. In Applications and Techniques in Information Security: 6th International Conference, ATIS 2016, Cairns, QLD, Australia, October 26-28, 2016, Proceedings Vol. 651 (pp. 54-65). Cairns, QLD, Australia: Springer Singapore.
DOI Scopus38 WoS22
2016 Chowdhury, A. (2016). Priority based and secured traffic management system for emergency vehicle using IoT. In Proceedings - 2016 International Conference on Engineering and MIS, ICEMIS 2016 (pp. 6 pages). Agadir, Morocco: IEEE.
DOI Scopus47 WoS14

Year Citation
2025 Ahmed, M. M., Shafin, S. S., Chowdhury, A., & Kaisar, S. (2025). Dependency-Aware Interpretable Anomaly Detection in Semiconductor Wafer Production.
DOI

  • Context-Free Grammar-Driven Course-Tailored GenAI for Adaptive Learning and Student Engagement with Pedagogical Integrity in Higher Education, Higher Education Research and Development Society of Australasia Inc, 01/07/2025 - 30/06/2026

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