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Md. Jaber Al Nahian

Md. Jaber Al Nahian

Lecturer

Department of Information and Communication Technology
Faculty of Science & Technology (FST)

Jaber.nahian@bup.edu.bd

BANGLADESH UNIVERSITY OF PROFESSIONALS
Mirpur Cantonment, Dhaka-1216

Biography

Mr. Jaber Al Nahian serves as a lecturer at the Department of Information and  Communication Technology at Bangladesh University of Professionals. He was born in Bangladesh, in 1996. He received his M. Sc. and B.Sc. degree in Information and Communication Engineering (ICE) from the Department of ICT at Bangladesh University of Professionals, Dhaka, in 2019 and 2020, respectively. Besides that, he served as a teaching assistant at the Department of ICT at Bangladesh University of Professionals. Many of his papers have been published in international journals and conferences. Additionally, he worked on human activity recognition and detecting elderly falls for his master's thesis. His research interests include the application of AI and ML, Natural Language Processing (NLP), Computer Vision, and Time-series analysis. Mr. Nahian has been awarded the prestigious ICT Fellowship from the Information and Communications Technology Division of the Government of the People's Republic of Bangladesh for 2018-19.

Last Updated: 13 May 2024

Education
S.S.C, Noakhali Zilla School
H.S.C, B A F Shaheen College, Dhaka
Bachelor of Science (BSc), Bangladesh University of Professionals
Master of Science (Tech), Bangladesh University of Professionals

Last Updated: 13 May 2024

Journal Publication

1.

  2022 (3)
Investigation on Heart Attack Prediction Based on the Different Machine Learning Approaches. Bokshi, L. R.; Al Banna, M.; Ghosh, T.; Al Nahian, M.; Kaiser, M S.; and others In Rhythms in Healthcare, pages 95–108. Springer, Singapore, 2022.
link   bibtex   
A Hybrid Deep Learning Approach to Detect Bangla Social Media Hate Speech. Ghosh, T.; Chowdhury, A. A. K.; Banna, M.; Al, H.; Nahian, M.; Al, J.; Kaiser, M S.; and Mahmud, M. In Proceedings of International Conference on Fourth Industrial Revolution and Beyond 2021, pages 711–722, 2022. Springer
link   bibtex   
An attention-based hybrid architecture with explainability for depressive social media text detection in Bangla. Ghosh, T.; Al Banna, M. H.; Al Nahian, M. J.; Uddin, M. N.; Kaiser, M S.; and Mahmud, M. Expert Systems with Applications,119007. 2022.
link   bibtex   
  2021 (6)
Towards an accelerometer-based elderly fall detection system using cross-disciplinary time series features. Al Nahian, M. J.; Ghosh, T.; Al Banna, M. H.; Aseeri, M. A; Uddin, M. N.; Ahmed, M. R.; Mahmud, M.; and Kaiser, M S. IEEE Access, 9: 39413–39431. 2021.
link   bibtex   
Contactless fall detection for the elderly. Nahian, M; Raju, M. H.; Tasnim, Z.; Mahmud, M.; Ahad, M. A. R.; and Kaiser, M S. In Contactless Human Activity Analysis, pages 203–235. Springer, Cham, 2021.
link   bibtex   
Social group optimized machine-learning based elderly fall detection approach using interdisciplinary time-series features. Al Nahian, M. J.; Ghosh, T.; Al Banna, M. H.; Uddin, M. N.; Islam, M. M.; Taher, K. A.; and Kaiser, M S. In 2021 international conference on information and communication technology for sustainable development (icict4sd), pages 321–325, 2021. IEEE
link   bibtex   
Attention-based bi-directional long-short term memory network for earthquake prediction. Al Banna, M. H.; Ghosh, T.; Al Nahian, M. J.; Taher, K. A.; Kaiser, M S.; Mahmud, M.; Hossain, M. S.; and Andersson, K. IEEE Access, 9: 56589–56603. 2021.
link   bibtex   
A Hybrid Deep Learning Model to Predict the Impact of COVID-19 on Mental Health form Social Media Big Data. Ghosh, T.; Al Banna, M. H.; Al Nahian, M. J.; Taher, K. A.; Kaiser, M S.; and Mahmud, M. . 2021.
link   bibtex   
An Attention-Based Mood Controlling Framework for Social Media Users. Ghosh, T.; Banna, M.; Al, H.; Angona, T. M.; Nahian, M.; Al, J.; Uddin, M. N.; Kaiser, M S.; and Mahmud, M. In International Conference on Brain Informatics, pages 245–256, 2021. Springer
link   bibtex   
  2020 (2)
Towards artificial intelligence driven emotion aware fall monitoring framework suitable for elderly people with neurological disorder. Nahian, M; Ghosh, T.; Uddin, M. N.; Islam, M.; Mahmud, M.; Kaiser, M S.; and others In International Conference on Brain Informatics, pages 275–286, 2020. Springer, Cham
link   bibtex   
Towards Artificial Intelligence Driven Emotion Aware Fall Monitoring Framework Suitable for Elderly People with Neurological Disorder. Islam, M. M.; Mahmud, M.; and Kaiser, M S. In Brain Informatics: 13th International Conference, BI 2020, Padua, Italy, September 19, 2020, Proceedings, volume 12241, pages 275, 2020. Springer Nature
link   bibtex   
  2019 (1)
Camera model identification using deep CNN and transfer learning approach. Al Banna, M. H.; Haider, M. A.; Al Nahian, M. J.; Islam, M. M.; Taher, K. A.; and Kaiser, M S. In 2019 International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST), pages 626–630, 2019. IEEE
link   bibtex   

Last Updated: 13 May 2024

Conference Papers

1. Al Nahian, M.J., Ghosh, T., Al Banna, M.H., Uddin, M.N., Islam, M.M., Taher, K.A. and Kaiser, M.S., 2021, February. 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) (pp. 321-325). IEEE. (Best Paper Award) DOI: https://doi.org/10.1109/ICICT4SD50815.2021.9396919

2.

Al Nahian M.J., Ghosh T., Uddin M.N., Islam M.M., Mahmud M., Kaiser M.S. (2020).Towards Artificial Intelligence Driven Emotion Aware Fall Monitoring Framework Suitable for Elderly People with Neurological Disorder. In: Mahmud M., Vassanelli S., Kaiser M.S., Zhong N. (eds) Brain Informatics. BI 2020. Lecture Notes in Computer Science, vol: 12241. Springer, Cham (Scopus Indexed, Q2). https://doi.org/10.1007/978-3-030-59277-6_25.

3. Al Banna, M.H., Haider, M.A., Al Nahian, M.J., Islam, M.M., Taher, K.A. and 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. DOI: https://doi.org/10.1109/ICREST.2019.8644194

Last Updated: 13 May 2024

Books

1. Al Nahian, M.J., Raju, M.H., Tasnim, Z., Mahmud, M., Ahad, M.A.R. and Kaiser, M.S., 2021. Contactless fall detection for the elderly. In Contactless Human Activity Analysis (pp. 1-32). Springer. DOI: https://doi.org/10.1007/978-3-030-68590-4_8

Last Updated: 13 May 2024

Researchs

1. Application of Machine Learning

2. Deep Learning

3. Human Activity Recognition

4. Natural Language Processing

5. Computer Vision

Last Updated: 13 May 2024

Awards

1. ICT Fellowship  2018-2019 (Third round) from ICT Division, Bangladesh

2. Deans Appreciation Letter

3. Best Paper Award (ICICT4SD)

4. Chancellor Merit Scholarship 2017

5. Exim Bank Merit Scholarship (2018-2020)

6. BUP Scholarship (2015 to 2020)

Last Updated: 13 May 2024

Courses

1.

Database Management System (ICE-2205)

2.

Database Management System Lab (ICE-2206)

3. Web Technologies Lab (ICE 3210)

4. Data Structure Lab (ICE-2204)

5. Artificial Intelligence (ICE-4205)

6. Software and Requirement Engineering (ICE-3201)

Last Updated: 13 May 2024

S.S.C, Noakhali Zilla School
H.S.C, B A F Shaheen College, Dhaka
Bachelor of Science (BSc), Bangladesh University of Professionals
Master of Science (Tech), Bangladesh University of Professionals

Last Updated: 13 May 2024

1.

  2022 (3)
Investigation on Heart Attack Prediction Based on the Different Machine Learning Approaches. Bokshi, L. R.; Al Banna, M.; Ghosh, T.; Al Nahian, M.; Kaiser, M S.; and others In Rhythms in Healthcare, pages 95–108. Springer, Singapore, 2022.
link   bibtex   
A Hybrid Deep Learning Approach to Detect Bangla Social Media Hate Speech. Ghosh, T.; Chowdhury, A. A. K.; Banna, M.; Al, H.; Nahian, M.; Al, J.; Kaiser, M S.; and Mahmud, M. In Proceedings of International Conference on Fourth Industrial Revolution and Beyond 2021, pages 711–722, 2022. Springer
link   bibtex   
An attention-based hybrid architecture with explainability for depressive social media text detection in Bangla. Ghosh, T.; Al Banna, M. H.; Al Nahian, M. J.; Uddin, M. N.; Kaiser, M S.; and Mahmud, M. Expert Systems with Applications,119007. 2022.
link   bibtex   
  2021 (6)
Towards an accelerometer-based elderly fall detection system using cross-disciplinary time series features. Al Nahian, M. J.; Ghosh, T.; Al Banna, M. H.; Aseeri, M. A; Uddin, M. N.; Ahmed, M. R.; Mahmud, M.; and Kaiser, M S. IEEE Access, 9: 39413–39431. 2021.
link   bibtex   
Contactless fall detection for the elderly. Nahian, M; Raju, M. H.; Tasnim, Z.; Mahmud, M.; Ahad, M. A. R.; and Kaiser, M S. In Contactless Human Activity Analysis, pages 203–235. Springer, Cham, 2021.
link   bibtex   
Social group optimized machine-learning based elderly fall detection approach using interdisciplinary time-series features. Al Nahian, M. J.; Ghosh, T.; Al Banna, M. H.; Uddin, M. N.; Islam, M. M.; Taher, K. A.; and Kaiser, M S. In 2021 international conference on information and communication technology for sustainable development (icict4sd), pages 321–325, 2021. IEEE
link   bibtex   
Attention-based bi-directional long-short term memory network for earthquake prediction. Al Banna, M. H.; Ghosh, T.; Al Nahian, M. J.; Taher, K. A.; Kaiser, M S.; Mahmud, M.; Hossain, M. S.; and Andersson, K. IEEE Access, 9: 56589–56603. 2021.
link   bibtex   
A Hybrid Deep Learning Model to Predict the Impact of COVID-19 on Mental Health form Social Media Big Data. Ghosh, T.; Al Banna, M. H.; Al Nahian, M. J.; Taher, K. A.; Kaiser, M S.; and Mahmud, M. . 2021.
link   bibtex   
An Attention-Based Mood Controlling Framework for Social Media Users. Ghosh, T.; Banna, M.; Al, H.; Angona, T. M.; Nahian, M.; Al, J.; Uddin, M. N.; Kaiser, M S.; and Mahmud, M. In International Conference on Brain Informatics, pages 245–256, 2021. Springer
link   bibtex   
  2020 (2)
Towards artificial intelligence driven emotion aware fall monitoring framework suitable for elderly people with neurological disorder. Nahian, M; Ghosh, T.; Uddin, M. N.; Islam, M.; Mahmud, M.; Kaiser, M S.; and others In International Conference on Brain Informatics, pages 275–286, 2020. Springer, Cham
link   bibtex   
Towards Artificial Intelligence Driven Emotion Aware Fall Monitoring Framework Suitable for Elderly People with Neurological Disorder. Islam, M. M.; Mahmud, M.; and Kaiser, M S. In Brain Informatics: 13th International Conference, BI 2020, Padua, Italy, September 19, 2020, Proceedings, volume 12241, pages 275, 2020. Springer Nature
link   bibtex   
  2019 (1)
Camera model identification using deep CNN and transfer learning approach. Al Banna, M. H.; Haider, M. A.; Al Nahian, M. J.; Islam, M. M.; Taher, K. A.; and Kaiser, M S. In 2019 International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST), pages 626–630, 2019. IEEE
link   bibtex   

Last Updated: 13 May 2024

1. Al Nahian, M.J., Ghosh, T., Al Banna, M.H., Uddin, M.N., Islam, M.M., Taher, K.A. and Kaiser, M.S., 2021, February. 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) (pp. 321-325). IEEE. (Best Paper Award) DOI: https://doi.org/10.1109/ICICT4SD50815.2021.9396919

2.

Al Nahian M.J., Ghosh T., Uddin M.N., Islam M.M., Mahmud M., Kaiser M.S. (2020).Towards Artificial Intelligence Driven Emotion Aware Fall Monitoring Framework Suitable for Elderly People with Neurological Disorder. In: Mahmud M., Vassanelli S., Kaiser M.S., Zhong N. (eds) Brain Informatics. BI 2020. Lecture Notes in Computer Science, vol: 12241. Springer, Cham (Scopus Indexed, Q2). https://doi.org/10.1007/978-3-030-59277-6_25.

3. Al Banna, M.H., Haider, M.A., Al Nahian, M.J., Islam, M.M., Taher, K.A. and 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. DOI: https://doi.org/10.1109/ICREST.2019.8644194

Last Updated: 13 May 2024

1. Al Nahian, M.J., Raju, M.H., Tasnim, Z., Mahmud, M., Ahad, M.A.R. and Kaiser, M.S., 2021. Contactless fall detection for the elderly. In Contactless Human Activity Analysis (pp. 1-32). Springer. DOI: https://doi.org/10.1007/978-3-030-68590-4_8

Last Updated: 13 May 2024

Application of Machine Learning Deep Learning Human Activity Recognition Natural Language Processing Computer Vision

Last Updated: 13 May 2024

ICT Fellowship  2018-2019 (Third round) from ICT Division, Bangladesh Deans Appreciation Letter Best Paper Award (ICICT4SD) Chancellor Merit Scholarship 2017 Exim Bank Merit Scholarship (2018-2020) BUP Scholarship (2015 to 2020)

Last Updated: 13 May 2024

Database Management System (ICE-2205)
Database Management System Lab (ICE-2206)
Web Technologies Lab (ICE 3210)
Data Structure Lab (ICE-2204) Artificial Intelligence (ICE-4205) Software and Requirement Engineering (ICE-3201)

Last Updated: 13 May 2024