Jannatul Ferdous Ruma

Jannatul Ferdous Ruma joined the University of Liberal Arts Bangladesh (ULAB) as a Lecturer in the Department of Computer Science and Engineering. She completed her M.Sc. and B.Sc. in Computer Science and Engineering from North South University, Bangladesh. Before that, she worked as a full-time Lecturer at The International University of Scholars. She published five peer-reviewed journals and a multimodal Bengali NLG work. Her research interests are Natural Language Processing, Machine Learning, and Deep Learning.

Department of Computer Science and Engineering (CSE)
Bachelor of Science, Computer Science and Engineering (CSE)

M.Sc. in Computer Science and Engineering, North South University, Bangladesh

B.Sc. in Computer Science and Engineering, North South University, Bangladesh

Natural Language Processing (NLP), Machine Learning, Deep Learning.

1. J. F. Ruma, T. T. Mayeesha, and R. M. Rahman, “Transformer based Answer-Aware Bengali Question Generation,” International Journal of Cognitive Computing in Engineering, vol. 4, pp. 314–326, 2023, doi: https://doi.org/10.1016/j.ijcce.2023.09.003.
2. J. F. Ruma, F. Anjum, R. Siddiqua, Md. A. Rahman, A. H. Rohan, and R. M. Rahman, “Outdoor patient classification in hospitals based on symptoms in Bengali language,” Journal of Information and Telecommunication, vol. 7, no. 3, pp. 336–358, Jul. 2023, doi: 10.1080/24751839.2023.2196106.
3. J. F. Ruma, M. S. G. Adnan, A. Dewan, and R. M. Rahman, “Particle swarm optimization based LSTM networks for water level forecasting: A case study on Bangladesh river network,” Results in Engineering, vol. 17, p. 100951, Mar. 2023, doi: 10.1016/j.rineng.2023.100951.
4. J. F. Ruma, S. Akter, J. J. Laboni, and R. M. Rahman, “A deep learning classification model for Persian Hafez poetry based on the poet’s era,” Decision Analytics Journal, vol. 4, p. 100111, Sep. 2022, doi: 10.1016/J.DAJOUR.2022.100111.
5. M. Rahaman, Md. M. Hillas, J. Tuba, J. F. Ruma, N. Ahmed, and R. M. Rahman, “Effects of Label Noise on Performance of Remote Sensing and Deep Learning-Based Water Body Segmentation Models,” Cybernetics and Systems, vol. 53, no. 6, pp. 581–606, Aug. 2022, doi: 10.1080/01969722.2021.1989171.

1. Hasan, M., Islam, L., Ruma, J., Mayeesha, T., & Rahman, R. (2023, September). Visual Question Generation in Bengali. In Proceedings of the Workshop on Multimodal, Multilingual Natural Language Generation and Multilingual WebNLG Challenge (MM-NLG 2023) (pp. 10-19).