All Publications

1. Relationship between functional independence and community integration of people with spinal cord injury in Bangladesh. SK Das, M Bakhtiar, SM Sabrin, M Curtin, E Rahman, ZBS Nahid, (2024), Frontiers in Rehabilitation Sciences 5, 1435656
2. Exploring Progress in Text-to-Image Synthesis: An In-Depth Survey on the Evolution of Generative Adversarial Networks
   MA Habib, MAH Wadud, MFK Patwary, MM Rahman, MF Mridha,(2024), IEEE Access
3. Is the VGG-19 Road Segmentation Method better than the Customized UNET Method? M Chanda, O Mazumder, MFK Patwary, S Paul, 2024, IEEE 3rd World Conference on Applied Intelligence and Computing (AIC) (2024)
4. Smoker Recognition from Lung X-ray Images using ML, M Chanda, O Mazumder, MFK Patwary, 2023, 26th International Conference on Computer and Information Technology (2023)
5. An assessment of disability and quality of life in people with spinal cord injury upon discharge from a Bangladesh rehabilitation unit, E Rahman, N Bardhan, M Curtin, MS Islam, MFK Patwary, S Kumar Das, 2023, Spinal Cord 61 (1), 37-42
6. Potential Risk Factors and Association of Significant Factors of Blood Cancer in Bangladesh Using Data Mining Techniques, F Tasnim, T Ahmed, K Ahmed, MFK Patwary, MK Newaz, (2022), Journal of Engineering Science 13 (1), 9-20
7. Functional outcomes and associated factors of individuals with unilateral traumatic lower limb amputation in Sri Lanka; An observational study, DARK Dasanayaka, FK Patwary, CD van Ravensberg, Prosthetics and Orthotics International, 10.1097, ( 2022)
8. Validity and Reliability Measurement of Bengali Translated Questionnaire for Urinary Incontinence Diagnosis, MFKP Shamima Islam Nipa, Thanyaluck Sriboonreung, Aatit Paungmali, Chailert , Journal of Health Science and Medical Research, (2021)
9. Prcmla: product review classification using machine learning algorithms, SP Sagar, K Oliullah, K Sohan, MFK Patwary, 
   Proceedings of International Conference on Trends in Computational, (2021)
10. A sentiment analysis based approach for understanding the user satisfaction on android application, MM Rahman, SSMM Rahman, SM Allayear, MFK Patwary, MTA Munna, Data Engineering and Communication Technology: roceedings of 3rd ICDECT, 16    2020
11. Automatic examinee validation system using eigenfaces, N Faruqui, MA Yousuf, MFK Patwary, 2019 1st International Conference on Advances in Science, Engineering and ,  6    2019
12. A data mining approach to predict the early stage of heart disease, K Howlader, FK Patwary, M YasinKabir, Journal of Noakhali Science and Technology University (JNSTU) 1 (1), 89-94, (2017)
13. Prediction of potential future it personnel in bangladesh using machine learning classifier, MH Parvez, MM Khatun, SM Reza, MM Rahman, MFK Patwary, Global Disclosure of Economics and Business 6 (1), 7-18, (2017)
14. Quality of life among persons with paraplegic spinal cord injury, H Jahan, MS Islam, MS Hossain, MFK Patwary, Disability, CBR & Inclusive Development 27 (3), 102-117 (2016)
15. Performance analysis of similarity coefficient feature vector on facial expression recognition, T Ane, MFK Patwary, Procedia engineering 144, 444-451, (2016)
16. Knowledge about child nutrition among mothers of children with cerebral palsy. Asian Pac, SI Mazumder, E Rahman, AH Mollah, O Haque, FK Patwary, S Islam,  Asian Pacific Journal of Health Sciences 2 (1), 197-202, (2015)
17. PREVALENCE OF OBESITY AM ONG M USCULOSKELETAL PATIENTS, MS Uddin, MM Hossain, MS Islam, MO Haque, U Kulsum, E Rahman, Int J Physiother Res 3 (1), 889-93, ( 2015)
18. An empirical analysis of the impact of agricultural credit from banks and microfinance institutions (MFIs) in GDP growth: Bangladesh perspective, A Bayes, FK Patwary, A survey based study (unpublished) (2012)\
19. Cost Optimization of Alternate Routing Network of M/G/1 (M) Traffic, MI Islam, MFK Patwary, MR Amin, The Mediterranean Journal of Electronics and Communications 6 (1), 190-195, (2011)
20. Seed Inoculation Effect of Azospirillum Spp. on, FK Patwary, MA Akond, Academic Journal of Plant Sciences l 4, 56-61, (2008)
21. Seed inoculation effect of Azospirillum spp. on growth, biomass and yield parameter of wheat, S Mubassara, UM Zahed, RM Motiur, FK Patwary, MA Akond, Academic Journal of Plant Sciences 1 (4), 56-61, (2008)
22. Estimation of technical efficiency and technical change in the stochastic frontier production function model-An application to the manufacturing industries of Bangladesh, QA Samad, FK Patwary, JOURNAL-BANGLADESH ACADEMY OF SCIENCES 30 (1), 117, ( 2006)
23. Impact of woman's status on fertility and contraceptive use in Bangladesh: Evidence from Bangladesh Demographic and Health Survey, 1999-2000, MA Kabir, MMH Khan, M Kabir, MM Rahman, MFK Patwary, Journal of Family Welfare 51 (1), 1, ( 2005)
24. Technical efficiency in the textile industry of Bangladesh: an application of frontier production function, QA Samad, FK Patwary, International journal of information and management sciences 14 (1), 19-30, (2003)
25. Technical efficiency and technical change in the major manufacturing industries of Bangladesh, QA Samad, FK Patwary, The Bangladesh Development Studies 28 (1/2), 113-135, (2002)
26. Factors Influencing Online Education in Undergraduate Program during COVID-19 Pandemic Using Data Mining Techniques, SA Rukaia, MM Rahman, MFK Patwary

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CONFERENCE PAPER

M. Chanda, O. Mazumder and M. F. Karim Patwary, Smoker Recognition from Lung X-ray Images using ML, 26th International Conference on Computer and Information Technology (ICCIT), pp.1-6, Cox's Bazar, Bangladesh, 2023. doi: 10.1109/ICCIT60459.2023.10441360

Smoking is the leading cause of death in Bangladesh, accounting for one in every five fatalities, according to scientific research. A number of researchers have developed cutting-edge techniques based on Deep Learning methods to ascertain a man's smoking status through image processing. As far as we are aware, no CNN-based system can distinguish between a smoker and a non-smoker from a lung X-ray image. In this work, we offer a novel CNN-based system that can detect, in real time, with high sensitivity and specificity, whether a man smokes or not by examining lung X-ray pictures. The employed data-set is divided into two groups: smokers and non-smokers. In this study, we provide a novel ML-based system that uses images of the guy's lungs taken in real time to detect, with high sensitivity and specificity, whether or not the man smokes. Hospitals may occasionally need to utilize this method to draw blood from a nonsmoker. Additionally, men who vape are not allowed to take college admissions exams or the army selection process. The efficacy of the proposed method for Smoker and Non-Smoker prediction was evaluated and contrasted with previous CNN systems based on multiple performance metrics. The proposed technique accurately detects smokers and nonsmokers from lung X-ray pictures with 91.50% accuracy, 92% precision, and 91% recall. We are certain that real-time system performance won't be affected, even if the recommended approach was trained on a picture dataset. This device might be used in a hospital, while choosing applicants for the police or army, or for university admission.

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BOOK CHAPTER

SP Sagar, K Oliullah, K Sohan, MFK Patwary, PRCMLA: Product Review Classification Using Machine Learning Algorithms, International Conference on Trends in Computational and Cognitive Engineering, 978-981-33-4673-4, pp.65-75, Jahangirnagar University, 2020. doi: https://doi.org/10.1007/978-981-33-4673-4_6
Md Mahfuzur Rahman, Sheikh Shah Mohammad Motiur Rahman, Shaikh Muhammad Allayear, Md Fazlul Karim Patwary, Md Tahsir Ahmed Munna, A Sentiment Analysis Based Approach for Understanding the User Satisfaction on Android Application, Data Engineering and Communication Technology, Advances in Intelligent Systems and Computing book series, AISC, volume 1079, pp.397-407, Hyderabad, India, 2020. doi: https://doi.org/10.1007/978-981-15-1097-7_33

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