Md. Mahbubul Alam
| Lecturer | |
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M.Sc. Eng. in Dept. of Information and Communication Engineering (ICE) (Noakhali Science and Technology University (NSTU)) B.Sc. Eng. in Dept. of Information and Communication Engineering (ICE) (Noakhali Science and Technology University (NSTU)) H.S.C (RAJUK Uttara Model College) |
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| mahbubulalam@nstu.edu.bd | |
| +8801755281840 | |
| Blood Group: A+ | |
| Joining Date : 2022-01-24 | |
| Research Interests:
Data Mining Pattern Recognition Big Data Computer Vision Image Processing
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About Md. Mahbubul Alam
Publications
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Title: Data Analysis for Book Reading Preferences: Bangladesh Perspective Cite: Md. Mahbubul Alam and Md. Saifur Rahman, 2021. Data Analysis for Book Reading Preferences: Bangladesh Perspective. Information Technology Journal, 20: 8-14. DOI: 10.3923/itj.2021.8.14 |
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Title: Combined PCA-Daugman Method : An Efficient Technique for Face and Iris Recognition Cite: Alam, Md. Mahbubul, Md. Ashikur Rahman Khan, Zayed Us Salehin, Main Uddin, Sultana Jahan Soheli, and Tanvir Zaman Khan. 2020. “Combined PCA-Daugman Method : An Efficient Technique for Face and Iris Recognition”. Journal of Advances in Mathematics and Computer Science 35 (5), 34-44. DOI: 10.9734/jamcs/2020/v35i530280 |
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Title: Combined PCA-Segmentation Method: An Efficient Technique for Covered Face Recognition Cite: Alam M.M., Khan M.A.R., Salehin Z.U., Das R.C., Uddin M., Soheli S.J. (2022) Combined PCA–Segmentation Method: An Efficient Technique for Covered Face Recognition. In: Ranganathan G., Fernando X., Shi F., El Allioui Y. (eds) Soft Computing for Security Applications. Advances in Intelligent Systems and Computing, vol 1397. Springer, Singapore. DOI: 10.1007/978-981-16-5301-8_58 |
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Title: A Proposed Method For Recognizing Complex Hand Drawn Graphs Using Digital Geometric Techniques Cite: Mahmud, B. U., Shuva, R. D., Bose, S. S., Rahman Majumder, M. M., Jahan, B., & Alam, M. M. (2019). A Proposed Method For Recognizing Complex Hand Drawn Graphs Using Digital Geometric Techniques. 2019 International Conference on Sustainable Technologies for Industry 4.0 (STI). DOI: 10.1109/STI47673.2019.9068093 |
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Title: Offline optical character recognition (OCR) method: An effective method for scanned documents Cite: Rahman Majumder, M., Uddin Mahmud, B., Jahan, B., & Alam, M. (2019). Offline optical character recognition (OCR) method: An effective method for scanned documents. 2019 22nd International Conference on Computer and Information Technology (ICCIT). DOI: 10.1109/ICCIT48885.2019.9038593 |
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Title: Impact analysis of harassment against women in Bangladesh using machine learning approaches Cite: Jahan B., Mahmud B.U., Mamun A.A., Mujibur Rahman Majumder M., Alam M. (2022) Impact Analysis of Harassment Against Women in Bangladesh Using Machine Learning Approaches. Recent Trends in Mechatronics Towards Industry 4.0. Lecture Notes in Electrical Engineering, vol 730. Springer, Singapore. DOI: 10.1007/978-981-33-4597-3_50 |
Experiences and Activities
Experiences24th January 2022 – Present Lecturer Dept. of Information and Communication Engineering Noakhali Science and Technology University
13th May 2019 – 23rd January 2022 |
Training-Workshop/Webinar
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