Md Tariqul Islam
Lecturer
Md Tariqul Islam is a Lecturer in the Department of Computer Science and Engineering (CSE) at Bangladesh University (BU). He holds a Master of Science in Data Science and Analytics (MSDSA) from East West University (EWU), a Master of Computational Color and Spectral Imaging (COSI) under the Erasmus Mundus Joint Master’s Degree (EMJMD) programme at the Norwegian University of Science and Technology (NTNU), which is currently ongoing, and a Bachelor of Science in Electronics and Communication Engineering (ECE) from Khulna University of Engineering and Technology (KUET). His academic background and professional interests encompass data science, machine learning, computational imaging, and data-driven engineering applications.
Academic Experience
Md Tariqul Islam has been serving as a Part-time Lecturer in the Department of Computer Science and Engineering at Bangladesh University since January 2025. Previously, he served as a Lecturer in the Department of Computer Science and Engineering at Bangladesh University from January 2018 to August 2023. Through his teaching experience, he has contributed to academic instruction, student learning, and departmental activities in computer science and engineering.
Professional Practice
His technical expertise includes programming languages such as Python, R, C, C++, and LaTeX, along with machine learning libraries including TensorFlow and Keras. He is also experienced in web-based technologies such as HTML, CSS, and PHP, and database management systems including MySQL and Oracle. His engineering and simulation tools include MATLAB, EViews, Verilog, Code::Blocks, Packet Tracer, and Proteus, while his microcontroller experience includes SIM-908C and Arduino. These technical competencies support his work in data analysis, machine learning, software development, engineering applications, and computational problem-solving.
Area of Interest
Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Image Processing, and Computer Vision.
Research Work
1. Dataset Analysis and Regression Modeling using Python: Identify and resolve dataset issues, perform explanatory data analysis (EDA), conduct ANOVA analysis, build and evaluate a linear Regression model using stats models.
2. Automatic detection and prevention of Breast Cancer using Machine Learning algorithms: use a traditional dataset, pre-process the dataset, and implement various supervised machine learning algorithms using Python code. Finally, write a scientific research article.
3. Early Detection of Heart Failure from Synthetic Electronic Health Records Using Big Data Tools. This project involves data preprocessing, exploratory data analysis (EDA), model training, and evaluations. This project uses Apache Spark, Logistic Regression, Random Forest, and CNN.
4. Diagnosis of heart diseases: A fuzzy-logic-based approach. In this project, create a knowledge-based, fuzzy expert system to suggest diagnostic results, create rules, fuzzification, and defuzzification. This work was done using MATLAB.
5. CO Emission Prediction using Statistical and Machine Learning Models from Time Series Data. This project involves data preprocessing, Exploratory Data Analysis (EDA), Feature Engineering, Model Selection and Training, Model evaluation and comparison, Forecasting, and Visualization.
6. Unsupervised Machine Learning based Visual Place Recognition: A Comprehensive Review. This is a scientific article that provides comprehensive knowledge of how to write a research article. Here, I used different unsupervised Machine Learning algorithms (Autoencoder, PCA, ICA, LSTM, and so on) and produced a standard scientific research article.
1. Md Tariqul Islam, Md Rezaul Karim, (2025), Autonomous ocular disease detection and classification system: A Transfer Learning approach. PLOS ONE. [Rank: Q1, Impact Factor: 3.2]
2. Md Tariqul Islam, Md Rezaul Karim, (2025), Deep learning based retinal vessel segmentation and segmented image quality assessment: Enhancing ocular healthcare, Journal of Medical Image Analysis. [Publisher: Elsevier, Rank: Q1, Impact Factor: 11.8]
Peer-Reviewed Journal:
1. Islam, M.T., Hasib, K.M., Rahman, M.M. et al. Convolutional Auto-Encoder and Independent Component Analysis Based Automatic Place Recognition for Moving Robot in Invariant Season Condition. Hum-Cent Intell Syst (2022). https://doi.org/10.1007/s44230-022-00013-z
2. Tariqul Islam, Sheikh Rabiul Islam, Mahbubur Rahman, "Learning Condition-Invariant Scene Representations for Place Recognition across the Seasons Using Auto-Encoder and ICA", Journal of Electrical and Computer Engineering, vol. 2022, Article ID 6284158, 17 pages, 2022. https://doi.org/10.1155/2022/6284158.
3. M. T. Islam, Sheikh Md. Rabiul Islam,” A New Image Quality Index and its Application on MRI Image”, International Journal of Image, Graphics and Signal Processing (IJIGSP), Vol.13, No.4, pp. 14-32, 2021.DOI:10.5815/ijigsp.2021.04.02
Conference Papers:
1. M. T. Islam, Tusher, A.N. (2022). Automatic Detection of Grape, Potato and Strawberry Leaf Diseases Using CNN and Image Processing. In: Nanda, P., Verma, V.K., Srivastava, S., Gupta, R.K., Mazumdar, A.P. (eds) Data Engineering for Smart Systems. Lecture Notes in Networks and Systems, vol 238. Springer, Singapore. https://doi.org/10.1007/978-981-16-2641-820 [Springer]
2. S. M. R. Islam, M. T. Islam and X. Huang,” A new approach of image quality index,” 2017 4th International Conference on Advances in Electrical Engineering (ICAEE), 2017, pp. 223-228, doi: 10.1109/ICAEE.2017.8255357. [IEEE Xplore]
3. S. Deb, S. M. R. Islam, J. Robaiat Mou and M. T. Islam,” Design and implementation of low cost ECG monitoring system for the patient using smart device,” 2017 International Conference on Electrical, Computer and Communication Engineering (ECCE), 2017, pp. 774-778, doi: 10.1109/ECACE.2017.7913007. [IEEE Xplore]
4. A. N. Tusher, S. Islam, M. T. Islam, S. R. Sammy, M. S. Rahman and M. S. Sadik, "User Perspective Bangla Sentiment Analysis for Online Gaming Addiction using Machine Learning," 2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), 2022, pp. 538-543, doi: 10.1109/ISMAC55078.2022.9987343.
5. A. N. Tusher, M. S. Sadik and M. T. Islam, "Early Brain Stroke Prediction Using Machine Learning," 2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART), Moradabad, India, 2022, pp. 1280-1284, doi: 10.1109/SMART55829.2022.10046889. [IEEE Xplore].
6. Tusher, A.N., Islam, M.T., Sammy, M.S.R., Hasna, S.A., Chakraborty, N.R. (2022). Automatic Recognition of Plant Leaf Diseases Using Deep Learning (Multilayer CNN) and Image Processing. In: Chen, J.IZ., Tavares, J.M.R.S., Shi, F. (eds) Third International Conference on Image Processing and Capsule Networks. ICIPCN 2022. Lecture Notes in Networks and Systems, vol 514. Springer, Cham. https://doi.org/10.1007/978-3-031-12413-611 [Springer]
7. N. Tusher, A. Anjum, M. T. Islam, S. Das, S. Rezowana Sammy and G. Hossain, "Automated Phrasal Verb and Key-Phrase Checking with LSTM-Based Attention Mechanism," 2023 3rd International Conference on Computing and Information Technology (ICCIT), Tabuk, Saudi Arabia, 2023, pp. 285-290, doi: 10.1109/ICCIT58132.2023.10273937. [IEEE Explore]
8. N. Tusher, M. S. R. Sammy, M. L. H. Moeen, S. Deb, M. T. Islam and M. S. Sadik, "Deep Learning Based Zucchini Leaf Diseases Detection: A Commercial Agriculture Development in Bangladesh," 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), Delhi, India, 2023, pp. 1-7, doi: 10.1109/ICCCNT56998.2023.10307021. [IEEE Explore]
9. Tusher, A.N., Islam, M.T., Sammy, M.S.R., Sadik, M.S., Hasna, S.A., Hossain, G. (2024). Automatic Sentence Classification: A Crucial Component of Sentiment Analysis. In: Jacob, I.J., Piramuthu, S., Falkowski-Gilski, P. (eds) Data Intelligence and Cognitive Informatics. ICDICI 2023. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-99-7962-2_1 [Springer]
