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Md. Hasan Al Banna

Md. Hasan Al Banna

Lecturer

Department of Computer Science and Engineering
Faculty of Science & Technology (FST)

hasan.banna@bup.edu.bd

BANGLADESH UNIVERSITY OF PROFESSIONALS
Mirpur Cantonment, Dhaka-1216

Biography

References


[1] M. H. Al Banna, M. A. Haider, M. J. Al Nahian, M. M. Islam, K. A. Taher, and M. S. Kaiser, ‘Camera Model Identification using Deep CNN and Transfer Learning Approach’, in 2019 International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST), 2019, pp. 626–630.

[2] M. H. Al Banna, T. Ghosh, K. A. Taher, M. S. Kaiser, and M. Mahmud, ‘A Monitoring System for Patients of Autism Spectrum Disorder Using Artificial Intelligence’, in International Conference on Brain Informatics, 2020, pp. 251–262.

[3] M. H. Al Banna et al., ‘Application of Artificial Intelligence in Predicting Earthquakes: State-of-the-Art and Future Challenges’, IEEE Access, vol. 8, pp. 192880–192923, 2020.

[4] M. J. Al Nahian et al., ‘Towards an Accelerometer-Based Elderly Fall Detection System Using Cross-Disciplinary Time Series Features’, IEEE Access, vol. 9, pp. 39413–39431, 2021.

[5] T. Ghosh, H. Al Banna, N. Mumenin, M. A. Yousuf, and Others, ‘Performance Analysis of State of the Art Convolutional Neural Network Architectures in Bangla Handwritten Character Recognition’, Pattern Recognition and Image Analysis, vol. 31, no. 1, pp. 60–71, 2021.

[6] M. J. Al Nahian et al., ‘Social Group Optimized Machine-Learning Based Elderly Fall detection Approach Using Interdisciplinary Time-Series Features’, in 2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD), 2021, pp. 321–325.

[7] M. H. Al Banna et al., ‘Attention-Based Bi-Directional Long-Short Term Memory Network for Earthquake Prediction’, IEEE Access, vol. 9, pp. 56589–56603, 2021.

[8] H. Al Banna, T. Ghosh, K. A. Taher, M. S. Kaiser, M. Mahmud, and Others, ‘An Earthquake Prediction System for Bangladesh Using Deep Long Short-Term Memory Architecture’, in Intelligent Systems, Springer, Singapore, 2021, pp. 465–476.

[9] T. Ghosh, M. H. Al Banna, M. J. Al Nahian, K. A. Taher, M. S. Kaiser, and M. Mahmud, ‘A Hybrid Deep Learning Model to Predict the Impact of COVID-19 on Mental Health form Social Media Big Data’, 2021.

[10] T. Ghosh et al., ‘Artificial Intelligence and Internet of Things in Screening and Management of Autism Spectrum Disorder’, Sustainable Cities and Society, p. 103189, 2021.

[11] T. Ghosh et al., ‘An Attention-Based Mood Controlling Framework for Social Media Users’, in International Conference on Brain Informatics, 2021, pp. 245–256.

[12] L. R. Bokshi, M. Al Banna, T. Ghosh, M. Al Nahian, M. S. Kaiser, and Others, ‘Investigation on Heart Attack Prediction Based on the Different Machine Learning Approaches’, in Rhythms in Healthcare, Springer, 2022, pp. 95–108.

[13] T. Ghosh et al., ‘A Hybrid Deep Learning Approach to Detect Bangla Social Media Hate Speech’, in Proceedings of International Conference on Fourth Industrial Revolution and Beyond 2021, 2022, pp. 711–722.

[14] T. Ghosh, M. H. Al Banna, M. J. Al Nahian, M. N. Uddin, M. S. Kaiser, and M. Mahmud, ‘An attention-based hybrid architecture with explainability for depressive social media text detection in Bangla’, Expert Systems with Applications, p. 119007, 2022.

[15] T. Ghosh et al., ‘A Privacy-Preserving Federated-MobileNet for Facial Expression Detection from Images’, in Applied Intelligence and Informatics: Second International Conference, AII 2022, Reggio Calabria, Italy, September 1--3, 2022, Proceedings, 2023, pp. 277–292.

[16] M. R. S. Zawad, C. S. A. Rony, M. Y. Haque, M. H. A. Banna, M. Mahmud, and M. S. Kaiser, ‘A Hybrid Approach for Stress Prediction from Heart Rate Variability’, in Frontiers of ICT in Healthcare: Proceedings of EAIT 2022, Springer, 2023, pp. 111–121.

Last Updated: 12 May 2024

[17] Haque, Y., Zawad, R. S., Rony, C. S. A., Al Banna, H., Ghosh, T., Kaiser, M. S., & Mahmud, M. (2023). State-of-the-Art of Stress Prediction from Heart Rate Variability Using Artificial Intelligence. Cognitive Computation, 1-27.

[18] Banna, M. H. A., Ghosh, T., Nahian, M. J. A., Kaiser, M. S., Mahmud, M., Taher, K. A., ... & Andersson, K. (2023). A hybrid deep learning model to predict the impact of COVID-19 on mental health from social media big data. IEEE Access, 11, 77009-77022.

[19] Zawad, M. R. S., Rony, C. S. A., Haque, M. Y., Banna, M. H. A., Mahmud, M., & Kaiser, M. S. (2023). A Hybrid Approach for Stress Prediction from Heart Rate Variability. In Frontiers of ICT in Healthcare: Proceedings of EAIT 2022 (pp. 111-121). Singapore: Springer Nature Singapore.

[20] Ghosh, T., Banna, M. H. A., Nahian, M. J. A., Kaiser, M. S., Mahmud, M., Li, S., & Pillay, N. (2022, September). A privacy-preserving federated-mobilenet for facial expression detection from images. In International Conference on Applied Intelligence and Informatics (pp. 277-292). Cham: Springer Nature Switzerland.

Last Updated: 12 May 2024

Education
S.S.C, Engineering University School
H.S.C, Notre Dame College
Honors, Bangladesh University of Professionals
Masters, Bangladesh University of Professionals

Last Updated: 12 May 2024

Journal Publication

1. Al Banna, M. H., Taher, K. A., Kaiser, M. S., Mahmud, M., Rahman, M. S., Hosen, A. S., & Cho, G. H. (2020). Application of artificial intelligence in predicting earthquakes: state-of-the-art and future challenges. IEEE Access, 8, 192880-192923.

2. Al Nahian, M. J., Ghosh, T., Al Banna, M. H., Aseeri, M. A., Uddin, M. N., Ahmed, M. R., ... & Kaiser, M. S. (2021). Towards an Accelerometer-Based Elderly Fall Detection System Using Cross-Disciplinary Time Series Features. IEEE Access, 9, 39413-39431.

3. Ghosh, T., Al Banna, H., Mumenin, N., & Yousuf, M. A. (2021). Performance Analysis of State of the Art Convolutional Neural Network Architectures in Bangla Handwritten Character Recognition. Pattern Recognition and Image Analysis, 31(1), 60-71.

4. Ghosh, T., Al Banna, M. H., Al Nahian, M. J., Uddin, M. N., Kaiser, M. S., & Mahmud, M. (2023). An attention-based hybrid architecture with explainability for depressive social media text detection in Bangla. Expert Systems with Applications, 213, 119007.

5. Al Banna, M. H., Ghosh, T., Al Nahian, M. J., Taher, K. A., Kaiser, M. S., Mahmud, M., ... & Andersson, K. (2021). Attention-based bi-directional long-short term memory network for earthquake prediction. IEEE Access, 9, 56589-56603.

6. Ghosh, T., Al Banna, M. H., Rahman, M. S., Kaiser, M. S., Mahmud, M., Hosen, A. S., & Cho, G. H. (2021). Artificial intelligence and internet of things in screening and management of autism spectrum disorder. Sustainable Cities and Society, 74, 103189.

Last Updated: 12 May 2024

Conference Papers

1. Al Banna, M. H., Haider, M. A., Al Nahian, M. J., Islam, M. M., Taher, K. A., & Kaiser, M. S. (2019, January). Camera model identification using deep CNN and transfer learning approach. In 2019 International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST) (pp. 626-630). IEEE.

2. Al Banna, M. H., Ghosh, T., Taher, K. A., Kaiser, M. S., & Mahmud, M. (2020, September). A monitoring system for patients of autism spectrum disorder using artificial intelligence. In International Conference on Brain Informatics (pp. 251-262). Springer, Cham.

Last Updated: 12 May 2024

Researchs

1. Application of Artificial Intelligence 

2. Optimization of Machine Learning and Deep Learning

3. Natural Language Processing

4. Internet of Things and Smart Systems

Last Updated: 12 May 2024

Awards

1. Chancellor's Gold Medal 2020

2. ICT Division Fellowship

3. Dean's Appreciation Letter

4. UGC Merit Scholarship

5. Best Paper Award (ICICT4SD)

6. Chancellor's Gold Medal 2023

7. Prime Minister's Gold Medal 2019

Last Updated: 12 May 2024

Courses

1.

  • Data Structure Theory and Laboratory
  • Analysis and Design of Algorithm Theory and Laboratory
  • Structured Programming Language Theory and Laboratory
  • Web Technologies Theory and Laboratory
  • Communication Theory Laboratory
  • Electrical Circuits Analysis Laboratory
  • Data Communication and Computer Network Laboratory

Last Updated: 12 May 2024

S.S.C, Engineering University School
H.S.C, Notre Dame College
Honors, Bangladesh University of Professionals
Masters, Bangladesh University of Professionals

Last Updated: 12 May 2024

1. Al Banna, M. H., Taher, K. A., Kaiser, M. S., Mahmud, M., Rahman, M. S., Hosen, A. S., & Cho, G. H. (2020). Application of artificial intelligence in predicting earthquakes: state-of-the-art and future challenges. IEEE Access, 8, 192880-192923.

2. Al Nahian, M. J., Ghosh, T., Al Banna, M. H., Aseeri, M. A., Uddin, M. N., Ahmed, M. R., ... & Kaiser, M. S. (2021). Towards an Accelerometer-Based Elderly Fall Detection System Using Cross-Disciplinary Time Series Features. IEEE Access, 9, 39413-39431.

3. Ghosh, T., Al Banna, H., Mumenin, N., & Yousuf, M. A. (2021). Performance Analysis of State of the Art Convolutional Neural Network Architectures in Bangla Handwritten Character Recognition. Pattern Recognition and Image Analysis, 31(1), 60-71.

4. Ghosh, T., Al Banna, M. H., Al Nahian, M. J., Uddin, M. N., Kaiser, M. S., & Mahmud, M. (2023). An attention-based hybrid architecture with explainability for depressive social media text detection in Bangla. Expert Systems with Applications, 213, 119007.

5. Al Banna, M. H., Ghosh, T., Al Nahian, M. J., Taher, K. A., Kaiser, M. S., Mahmud, M., ... & Andersson, K. (2021). Attention-based bi-directional long-short term memory network for earthquake prediction. IEEE Access, 9, 56589-56603.

6. Ghosh, T., Al Banna, M. H., Rahman, M. S., Kaiser, M. S., Mahmud, M., Hosen, A. S., & Cho, G. H. (2021). Artificial intelligence and internet of things in screening and management of autism spectrum disorder. Sustainable Cities and Society, 74, 103189.

Last Updated: 12 May 2024

1. Al Banna, M. H., Haider, M. A., Al Nahian, M. J., Islam, M. M., Taher, K. A., & Kaiser, M. S. (2019, January). Camera model identification using deep CNN and transfer learning approach. In 2019 International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST) (pp. 626-630). IEEE.

2. Al Banna, M. H., Ghosh, T., Taher, K. A., Kaiser, M. S., & Mahmud, M. (2020, September). A monitoring system for patients of autism spectrum disorder using artificial intelligence. In International Conference on Brain Informatics (pp. 251-262). Springer, Cham.

Last Updated: 12 May 2024

Last Updated: 12 May 2024

Application of Artificial Intelligence  Optimization of Machine Learning and Deep Learning Natural Language Processing Internet of Things and Smart Systems

Last Updated: 12 May 2024

Chancellor's Gold Medal 2020 ICT Division Fellowship Dean's Appreciation Letter UGC Merit Scholarship Best Paper Award (ICICT4SD) Chancellor's Gold Medal 2023 Prime Minister's Gold Medal 2019

Last Updated: 12 May 2024

  • Data Structure Theory and Laboratory
  • Analysis and Design of Algorithm Theory and Laboratory
  • Structured Programming Language Theory and Laboratory
  • Web Technologies Theory and Laboratory
  • Communication Theory Laboratory
  • Electrical Circuits Analysis Laboratory
  • Data Communication and Computer Network Laboratory

Last Updated: 12 May 2024