S.S.C, Mohammadpur Preparatory School, Dhaka.
H.S.C, Holy Cross College, Dhaka
Bachelor of Science (BSc), Military Institute of Science and Technology (MIST)
Master of Science (Tech), Bangladesh University of Engineering and Technology (BUET)
Master of Science (Tech), Military Institute of Science and Technology (MIST)

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8. Suha, S. A., Akhtaruzzaman, M., & Sanam, T. F. (2022). A fuzzy model for predicting burn patients’ intravenous fluid resuscitation rate. Healthcare Analytics, 2, 100070. 

1. Ali, G., Al-Kafi, G. A., Faiza, J. T., Hoque, M. I., & Suha, S. A. (2024, May). Revolutionizing Intensive Care: A Machine Learning Based Approach for ICU Patients' In-Hospital Mortality Prediction. In 2024 6th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT) (pp. 711-716). IEEE.

2. Hasnin, M., Afrose, I. A., Himel, S. R., Suha, S. A., & Islam, M. N. (2023, October). A CNN Based Sign Language Learning System For Deaf & Mute User. In 2023 IEEE 11th Region 10 Humanitarian Technology Conference (R10-HTC) (pp. 237-242). IEEE.

3. Ahmed, F. U., Mahi, F. H., Suha, S. A., & Islam, M. N. (2023, December). Development of an Intelligent System for Brain Stroke Prediction using Ensemble Feature Selection and Machine Learning Technique. In 2023 26th International Conference on Computer and Information Technology (ICCIT) (pp. 1-6). IEEE.

4. Aishee, S. S., Chowdhury, S. K., Mahmud, F., & Suha, S. A. (2023, December). Design and Development of an Ensemble Feature Selection and Machine Learning Based Cardiac Disease Prediction System. In 2023 26th International Conference on Computer and Information Technology (ICCIT) (pp. 1-6). IEEE.

5. Rahman, R., Islam, M. N., Aziz, F. I., Hossain, M. Z., Afroze, S., & Suha, S. A. (2023, December). A Comparative Analysis of Card Sorting and IDM Approaches in e-Tourism Website Design. In 2023 26th International Conference on Computer and Information Technology (ICCIT) (pp. 1-6). IEEE.

6. Khan, M., Nila, F., Tabasaum, N., Suha, S. A., & Islam, M. N. (2023, November). Enhancing PCOS Prediction: A System based on Ensemble Machine Learning Techniques. In 2023 IEEE 9th International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE) (pp. 108-113). IEEE.

7. Islam, M. R., Hoda, M. D., Rashid, M. A., Suha, S. A., & Miya, M. T. I. (2022, December). Data-driven heart disease prediction by ensemble feature selection and machine learning techniques. In 2022 25th International Conference on Computer and Information Technology (ICCIT) (pp. 575-580). IEEE.

8. Suha, S. A., & Sanam, T. F. (2022, July). A machine learning approach for predicting patient's length of hospital stay with random forest regression. In 2022 IEEE Region 10 Symposium (TENSYMP) (pp. 1-6). IEEE.

9. Suha, S. A., Islam, M. N., Akter, S., Bhowmick, M. C., & Halder, R. (2022, May). Assessing usability of mobile applications developed for autistic users through heuristic and semiotic evaluation. In Proceedings of International Joint Conference on Advances in Computational Intelligence: IJCACI 2021 (pp. 25-39). Singapore: Springer Nature Singapore.

10. Suha, S. A., & Sanam, T. F. (2022, June). Challenges and prospects of adopting industry 4.0 and assessing the role of intelligent robotics. In 2022 IEEE World Conference on Applied Intelligence and Computing (AIC) (pp. 524-529). IEEE.

11. Suha, S. A., & Sanam, T. F. (2022, December). Predicting Burn Injury Intensity from Skin Bum Images with Hybrid Machine Learning Technique. In 2022 12th International Conference on Electrical and Computer Engineering (ICECE) (pp. 5-8). IEEE.

12. Sharif, A., Anzum, F., Zavin, A., Suha, S. A., Ibnat, A., & Islam, M. N. (2018, July). Exploring the opportunities and challenges of adopting augmented reality in education in a developing country. In 2018 IEEE 18th International Conference on Advanced Learning Technologies (ICALT) (pp. 364-366). IEEE.

13. Islam, M. N., Zavin, A., Srabanti, S., Ferdous, C. N., Suha, S. A., Afroze, L., ... & Refath, N. S. (2017, December). GiveMed: a webportal for medicine distribution among poverty-stricken people. In 2017 IEEE Region 10 Humanitarian Technology Conference (R10-HTC) (pp. 294-299). IEEE.

14. Sheila, T. S., Nishat, N. J., Tanjila, A. H., Nuri, J., Sanam, T. F., & Suha, S. A. (2023, October). A Comparative Evaluation for Forecasting Diabetic Patients' Hospital Readmission within 30 Days through Machine Learning Techniques. In 2023 IEEE 11th Region 10 Humanitarian Technology Conference (R10-HTC) (pp. 847-852). IEEE.

15. Ahmed, F. U., Ahmed, M., Mahi, F. H., Abdullah, S. H., & Suha, S. A. (2023, September). A Comparative Performance Evaluation of Bitcoin Price Prediction Using Machine Learning Techniques. In 2023 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD) (pp. 194-198). IEEE.

16. Suha, S. A., Sanam, T. F., & Jahan, M. I. (2022, June). National Policies & their Significance in Bangladesh for the Adoption of Industry 4.0. In 2022 IEEE World Conference on Applied Intelligence and Computing (AIC) (pp. 676-681). IEEE.

1. Sayma Alam, S. (2022). Integrated framework for intelligent healthcare decision support system with sustainability assessment. (Doctoral dissertation, Institute of Appropriate Technology, BUET)

2. Sayma Alam, S. (2022). PREDICTING POLYCYSTIC OVARY SYNDROME THROUGH MACHINE LEARNING TECHNIQUE USING PATIENTS’SYMPTOM DATA AND OVARY ULTRASOUND IMAGES (Doctoral dissertation, Department of Computer Science and Engineering, MIST).

1. Research areas includes but are not limited to:

1. ICT Fellowship - (2021-2022) for Research work on Predictive analytics of Polycystic Ovary Syndrome using machine learning

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5. MIST Commandant List Award- 2014,2015,2016,2017 for Outstanding results