• M.Sc. in Computer Science & Engineering (Ongoing)
• B.Sc. in Computer Science & Engineering, Chittagong University of Engineering and Technology (CUET).

Training attended

• AWS Academy Cloud Foundations (20 hours), AWS Academy Graduate badge, 2024.
• Faculty Development Program on “Machine Learning and AI” (2 days), SIGMIND and Daffodil International University, 5–6 May 2018.
• Participatory Engaging Teaching (PET) Training (7 days), HRDI, Daffodil International University, September 2017.
• National Mobile Application Trainer and Innovative Application Development Program, ICT Division, Government of Bangladesh, CUET venue, [year].
• “Generative AI for Educators” course (2 hours), Google, April 2024.
• Five leadership and soft skill courses, GoEdu.ac with Skill.jobs and HRDI, May 2022.
• Seminar on Research Policy, Daffodil International University, April 2026.
• Seminar on “Building Impactful Research”, Division of Research, Daffodil International University, March 2026.

Experience as a trainer

• Trainer, Machine Learning with Python course, EDGE project, 2026.
• Trainer, Oracle Database Administration course, EDGE project, 2025.
• Trainer, MS Excel training, CEDP, 2025.

• 2016: Intern, IT and Billing Department, QUBEE (Augere Wireless Broadband Bangladesh Ltd.). Designed and implemented a web API using the Slim framework, built a demo customer service app for QUBEE in Android, and integrated the web API into the app.

• Artificial Intelligence
• Compiler Design
• Computer Architecture and Organization
• Data Communication
• Data Mining and Machine Learning
• Data Structures
• Digital Logic Design
• Discrete Mathematics
• Introduction to Data Science
• Microprocessor and Assembly Language
• Microprocessor and Microcontrollers
• Microprocessor, Embedded Systems and IoT
• Research Innovation and Technical Writing
• Theory of Computation

Conference papers

1. Sakib, S. R., Sara, K. N., Rasel, M. T. H., Asif, M. M. I., Nahid, M. A. H., Rahman, M. S., Mridha, M. F., Islam, A. (2023). “Time Series Analysis and Forecasting of Air Quality Index of Dhaka City of Bangladesh”, 2023 IEEE World AI IoT Congress (AIIoT), pp. 63–69.
2. Hasan, F., Raza, D. M., Moon, H., Nahid, M. A. H. (2023). “Sentiment Analysis from YouTube Video Using Bi-LSTM-GRU Classification”, International Conference on Big Data, IoT and Machine Learning, pp. 303–316.
3. Khan, M. M., Raza, D. M., Nahid, M. A. H. (2023). “Real-Time Vehicle fitness detection using YOLOv5”, 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), pp. 1–7.
4. Ahmed, S. S., Mim, A. A., Saha, D., Nahar, K., Nahid, M. A. H. (2023). “A CNN-Based Novel Approach for The Detection of Compound Bangla Handwritten Characters”, 2023 11th International Symposium on Digital Forensics and Security (ISDFS), pp. 1–6.
5. Jony, J. H., Nahid, M. A. H., Jahan, N., Raza, D. M. (2023). “Multiclass Brain Tumor Recognition Using Convolutional Neural Network”, 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), pp. 1–7.
6. Jowti, R. A., Nahid, M. A. H. (2023). “Multi-class Alzheimer’s Disease Stage Diagnosis using Deep Learning Techniques”, 2023 International Conference on Innovative Data Communication Technologies [complete conference name].
7. Shorna, A. A., Ave, A. S., Mahi, H. H. C., Shital, S. B., Sowrna, N. J., Nahid, A. H. (2024). “Enhancing Agricultural Quality Control: Freshness Detection in Root Vegetables Through Deep Neural Networks”, 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT).

Machine Learning, Deep Learning, Digital Image Processing, Computer Vision, Natural Language Processing, Cyber Security, Information Security, Cryptography