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SAYMA ALAM SUHA

SAYMA ALAM SUHA

Lecturer

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

suha.mist@gmail.com

BANGLADESH UNIVERSITY OF PROFESSIONALS
Mirpur Cantonment, Dhaka-1216

Education
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)

Last Updated: 19 Dec 2024

Journal Publication

1.

Ahmed, M., Suha, S. A., Hossain Mahi, F., & Uddin Ahmed, F. (2024). EVALUATING THE PERFORMANCE OF BITCOIN PRICE FORECASTING USING MACHINE LEARNING TECHNIQUES ON HISTORICAL DATA. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 14(2), 101–108. https://doi.org/10.35784/iapgos.5657

2.

Suha, S. A., & Sanam, T. F. (2023). Exploring dominant factors for ensuring the sustainability of utilizing artificial intelligence in healthcare decision making: An emerging country context. International Journal of Information Management Data Insights, 3(1), 100170.

3.

Suha, S. A., & Islam, M. N. (2023). Exploring the dominant features and data-driven detection of polycystic ovary syndrome through modified stacking ensemble machine learning technique. Heliyon, 9(3).

4.

Suha, S. A., & Islam, M. N. (2023). A systematic review and future research agenda on detection of polycystic ovary syndrome (PCOS) with computer-aided techniques. Heliyon.

5.

Suha, S. A., & Islam, M. N. (2022). An extended machine learning technique for polycystic ovary syndrome detection using ovary ultrasound image. Scientific Reports, 12(1), 17123.

6.

Suha, S. A., & Sanam, T. F. (2022). A deep convolutional neural network-based approach for detecting burn severity from skin burn images. Machine Learning with Applications, 9, 100371.

7.

Rahman, M. M., Kundu, D., Suha, S. A., Siddiqi, U. R., & Dey, S. K. (2022). Hospital patients’ length of stay prediction: A federated learning approach. Journal of King Saud University-Computer and Information Sciences, 34(10), 7874-7884.

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. 

Last Updated: 19 Dec 2024

Conference Papers

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.

17.

Suha, S.A., & Arif Hasan, K. (2024, September). Predicting short antimicrobial peptides utilizing multi-tiered stacked ensemble machine learning technique. 2024 IEEE Region 10 Symposium (TENSYMP 2024), Delhi, India.

18.

Suha, S. A., & Bushra, H. (2024, September). A Multi-modal Contrastive Learning Framework for Identifying Similar Patients with Cervical Dysplasia from Unlabeled Colposcopy Data. 2024 IEEE Region 10 Symposium (TENSYMP 2024), Delhi, India.

19.

Suha, S. A., & Sadia Nasrin , T. (2024, September 5). Predicting Heart Disease Risk with Lifestyle Factors: Uncovering Vital Predictors via Feature Selection and Machine Learning Techniques. 3rd International Conference on Computing Advancements - ICCA 2024, Dhaka, Bangladesh.

Last Updated: 19 Dec 2024

Books

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

Last Updated: 19 Dec 2024

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).

Last Updated: 19 Dec 2024

Researchs

1. Research areas includes but are not limited to:

1. Artificial Intelligence
2. Machine Learning and Deep Learning in Healthcare Domain
3. Advanced Healthcare Analytics
4. Data Science 
5. Computer Vision in Healthcare
6. Health Data Privacy and Security and Big data Analytics Etc.

Last Updated: 19 Dec 2024

Awards

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

2.

BUET Post Graduate Fellowship for research work on artificial intelligence in smart healthcare 

3.

Research Excellence Award- 2022 by FORUM-86, BUET for research contribution in smart healthcare

4.

MIST Medal - 2017 for securing 1st position in Computer Science and Engineering Department 

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

Last Updated: 19 Dec 2024

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)

Last Updated: 19 Dec 2024

1.

Ahmed, M., Suha, S. A., Hossain Mahi, F., & Uddin Ahmed, F. (2024). EVALUATING THE PERFORMANCE OF BITCOIN PRICE FORECASTING USING MACHINE LEARNING TECHNIQUES ON HISTORICAL DATA. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 14(2), 101–108. https://doi.org/10.35784/iapgos.5657

2.

Suha, S. A., & Sanam, T. F. (2023). Exploring dominant factors for ensuring the sustainability of utilizing artificial intelligence in healthcare decision making: An emerging country context. International Journal of Information Management Data Insights, 3(1), 100170.

3.

Suha, S. A., & Islam, M. N. (2023). Exploring the dominant features and data-driven detection of polycystic ovary syndrome through modified stacking ensemble machine learning technique. Heliyon, 9(3).

4.

Suha, S. A., & Islam, M. N. (2023). A systematic review and future research agenda on detection of polycystic ovary syndrome (PCOS) with computer-aided techniques. Heliyon.

5.

Suha, S. A., & Islam, M. N. (2022). An extended machine learning technique for polycystic ovary syndrome detection using ovary ultrasound image. Scientific Reports, 12(1), 17123.

6.

Suha, S. A., & Sanam, T. F. (2022). A deep convolutional neural network-based approach for detecting burn severity from skin burn images. Machine Learning with Applications, 9, 100371.

7.

Rahman, M. M., Kundu, D., Suha, S. A., Siddiqi, U. R., & Dey, S. K. (2022). Hospital patients’ length of stay prediction: A federated learning approach. Journal of King Saud University-Computer and Information Sciences, 34(10), 7874-7884.

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. 

Last Updated: 19 Dec 2024

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.

17.

Suha, S.A., & Arif Hasan, K. (2024, September). Predicting short antimicrobial peptides utilizing multi-tiered stacked ensemble machine learning technique. 2024 IEEE Region 10 Symposium (TENSYMP 2024), Delhi, India.

18.

Suha, S. A., & Bushra, H. (2024, September). A Multi-modal Contrastive Learning Framework for Identifying Similar Patients with Cervical Dysplasia from Unlabeled Colposcopy Data. 2024 IEEE Region 10 Symposium (TENSYMP 2024), Delhi, India.

19.

Suha, S. A., & Sadia Nasrin , T. (2024, September 5). Predicting Heart Disease Risk with Lifestyle Factors: Uncovering Vital Predictors via Feature Selection and Machine Learning Techniques. 3rd International Conference on Computing Advancements - ICCA 2024, Dhaka, Bangladesh.

Last Updated: 19 Dec 2024

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).

Last Updated: 19 Dec 2024

Research areas includes but are not limited to:
1. Artificial Intelligence
2. Machine Learning and Deep Learning in Healthcare Domain
3. Advanced Healthcare Analytics
4. Data Science 
5. Computer Vision in Healthcare
6. Health Data Privacy and Security and Big data Analytics Etc.

Last Updated: 19 Dec 2024

ICT Fellowship - (2021-2022) for Research work on Predictive analytics of Polycystic Ovary Syndrome using machine learning
BUET Post Graduate Fellowship for research work on artificial intelligence in smart healthcare 
Research Excellence Award- 2022 by FORUM-86, BUET for research contribution in smart healthcare
MIST Medal - 2017 for securing 1st position in Computer Science and Engineering Department 
MIST Commandant List Award- 2014,2015,2016,2017 for Outstanding results

Last Updated: 19 Dec 2024

Last Updated: 19 Dec 2024