Lecturer
I've recently completed my M.Sc. Engg. degree in CSE from Dept. of CSE, RUET. My research interests are computer vision, pattern recognition, biomedical, bioinformatics, image processing, and NLP. Most of my work is related to machine learning, deep learning, and transfer learning.
Shahid Lt. Salim Hall
Rajshahi University of Engineering & Technology
Computer Science & Engineering
Rajshahi University of Engineering & Technology
Rajshahi University of Engineering & Technology, Rajshahi
Rajshahi University of Engineering & Technology, Rajshahi
Rajshahi College, Rajshahi
Rajshahi University School, Rajshahi
SL | Authors | Title | Publisher Details | Publication Year | Type |
1 | Tahsen Islam Sajon, Barsha Roy, Md. Farukuzzaman Faruk, Azmain Yakin Srizon, Shakil Mahmud Shuvo, Md. Al Mamun, Abu Sayeed and S. M. Mahedy Hasan | Attention Mechanism-enhanced Deep CNN Architecture for Precise Multi-Class Leukemia Classification | Springer | 2023 | Book Chapter |
2 | Shakil Mahmud Shuvo, Md. Farukuzzaman Faruk, Azmain Yakin Srizon, Tahsen Islam Sajon, S. M. Mahedy Hasan, Anirban Barai, A. F. M. Minhazur Rahman and Md. Al Mamun | Multi-Class Brain Tumor Classification with DenseNet Based Deep Learning Features and Ensemble of Machine Learning Approaches | Springer | 2023 | Book Chapter |
3 | Md Abu Ismail Siddique and Azmain Yakin Srizon | An Effective Dimensionality Reduction Workflow for the Enhancement of Automated Date Fruit Recognition Utilizing Several Machine Learning Classifiers | Springer | 2023 | Book Chapter |
4 | Bristi Rani Roy, Md. Al Mamun and Azmain Yakin Srizon | Evaluating the Effectiveness of 3-D DenseNet and Spatial Spectral Residual Networks in Hyperspectral Image Classification | IEEE | 2023 | Conference |
5 | Soumik Datta, S. M. Mahedy Hasan, Md. Farukuzzaman Faruk, Azmain Yakin Srizon, Md. Rakib Hossain, Anwar Hossain Efat and Mostarina Mitu | Improved Diabetes Prediction with Reduced Feature Sets: Evaluating Feature Selection Techniques in Machine Learning | IEEE | 2023 | Conference |
6 | Kawshik Banerjee, Azmain Yakin Srizon, Md. Farukuzzaman Faruk, S. M. Mahedy Hasan and Md. Rakib Hossain | Quantifying Shifts in Word Contexts from Social Media Data | Taylor & Francis | 2023 | Book Chapter |
7 | Nahrin Jannat, S. M. Mahedy Hasan, Azmain Yakin Srizon, Mahjabin Oishe, Anwar Hossain Efat, Md Fakrul Islam Taraque, Mostarina Mitu and Md. Farukuzzaman Faruk | Efficient Detection of Crop Leaf Diseases: A Lightweight Convolutional Neural Network Approach for Enhanced Agricultural Productivity | IEEE | 2023 | Conference |
8 | Md. Barhanul Karim, Md. Safaiat Hossain, Rahul Reza Roky and Azmain Yakin Srizon | BHSGR-Net: A Light-Weight Convolutional Neural Architecture for Recognition of Bengali Hand Sign Gestures | Taylor & Francis | 2023 | Book Chapter |
9 | S. M. Mahedy Hasan, Md. Al Mamun and Azmain Yakin Srizon | Enhancing Multi-Class Skin Lesion Classification with Modified EfficientNets: Advancing Early Detection of Skin Cancer | IEEE | 2023 | Conference |
10 | Soumit Das, Ashraf-Ul-Alam, Sudipta Progga Islam and Azmain Yakin Srizon | BanglaOngko: A New Dataset for Accurate Bengali Mathematical Expression Detection Utilizing YOLOv8 Architecture | Taylor & Francis | 2023 | Book Chapter |
11 | S. M. Mahedy Hasan, Md. Al Mamun, Md. Farukuzzaman Faruk and Azmain Yakin Srizon | Ensemble of Deep Convolutional Neural Networks for Multi-Class Skin Lesion Recognition Using Soft Attention | IEEE | 2023 | Conference |
12 | Anwar Hossain Efat, S. M. Mahedy Hasan, Nahrin Jannat, Mahjabin Rahman Oishe, Md Fakrul Islam Taraque, Mostarina Mitu, Md. Farukuzzaman Faruk and Azmain Yakin Srizon | Preventing Skin Cancer through Improved Skin Lesion Recognition: An Attention-Triplet and Multi-Layer Ensemble Based CNN Approach | Springer | 2023 | Book Chapter |
13 | Sheikh Fazle Rabbi, Md. Al Mamun, Md. Farukuzzaman Faruk, S. M. Mahedy Hasan and Azmain Yakin Srizon | A Multi-branch and Attention Based CNN Architecture for the Classification of Retinal Diseases from OCT Images | IEEE | 2023 | Conference |
14 | Mayeesha Farjana, Barisha Chowdhury, Farhana Rahman, Zuairia Raisa Bintay Makin, Sumaiya Rahman and Azmain Yakin Srizon | Gender Abusive Language Detection in Bengali Using Machine Learning Algorithms | Springer | 2023 | Book Chapter |
15 | Maria Chowdhury, Azmain Yakin Srizon, Tahsen Islam Sajon, Md. Farukuzzaman Faruk, S. M. Mahedy Hasan, Ananya Sarker, Md. Al Mamun, Md. Rakibul Haque and Md. Rakib Hossain | Large Ensemble of Transfer-Learned Models for Plant Disease Recognition from Diverse Leaf Images | Taylor & Francis | 2023 | Book Chapter |
16 | Anirban Barai, Md. Farukuzzaman Faruk, Shakil Mahmud Shuvo, Azmain Yakin Srizon, S. M. Mahedy Hasan and Abu Sayeed | A Late Fusion Deep CNN Model for the Classification of Brain Tumors from Multi-Parametric MRI Images | IEEE | 2023 | Conference |
17 | Azmain Yakin Srizon, Ananya Sarker, Md. Al Mamun, Md. Farukuzzaman Faruk and S. M. Mahedy Hasan | Enhancing Waste Categorization Using Ensemble of Transfer Learning and Light-Weight Convolutional Neural Network | IEEE | 2023 | Conference |
18 | Mahjabin Oishe, S. M. Mahedy Hasan, Azmain Yakin Srizon, Anwar Hossain Efat, Nahrin Jannat, Mostarina Mitu and Md. Farukuzzaman Faruk | Enhancing Glaucoma Prediction Performance in OCT Images using Machine Learning Based on HOG Features | IEEE | 2023 | Conference |
19 | Md. Mehedi Hasan, Md. Ali Hossain, Azmain Yakin Srizon and Abu Sayeed | TaLU: A Hybrid Activation Function Combining Tanh and Rectified Linear Unit to Enhance Neural Networks | arXiv | 2023 | Journal |
20 | Abu Sayeed, Azmain Yakin Srizon, Md. Mehedi Hasan, Jungpil Shin, Md. Al Mehedi Hasan and M. Rasel Mahmud | A Hybrid Campus Security System Combined of Face, Number-plate, and Voice Recognition | Springer | 2023 | Book Chapter |
21 | Tahsen Islam Sajon, Maria Chowdhury, Azmain Yakin Srizon, Md. Farukuzzaman Faruk, S. M. Mahedy Hasan, Abu Sayeed and A. F. M. Minhazur Rahman | Recognition of Leukemia Sub-types Using Transfer Learning and Extraction of Distinguishable Features Using an Effective Machine Learning Approach | IEEE | 2023 | Conference |
22 | Md. Mehedi Hasan, Md. Ali Hossain, Azmain Yakin Srizon and Abu Sayeed | JuktoMala: A Handwritten Bengali Consonant Conjuncts Dataset for Optical Character Recognition Using BiT-based M-ResNet-101x3 Architecture | IEEE | 2023 | Conference |
23 | Azmain Yakin Srizon, Md. Ali Hossain, Abu Sayeed and Md. Mehedi Hasan | An Effective Approach for Handwritten Punctuation Recognition by Using a Low-cost Convolutional Neural Network | IEEE | 2022 | Conference |
24 | Azmain Yakin Srizon and Md. Ali Hossain | BornomalaNet: An Effective Approach for Handwritten Bengali Characters Recognition by Using a Low-cost Convolutional Neural Network | IEEE | 2022 | Conference |
25 | Md Shamiul Islam Shopnil, S. M. Mahedy Hasan, Azmain Yakin Srizon and Md. Farukuzzaman Faruk | Post-Pandemic Sentiment Analysis Based on Twitter Data Using Deep Learning | IEEE | 2022 | Conference |
26 | Md. Abdur Rakib Mollah, Azmain Yakin Srizon and Mohiuddin Ahmed | An Ensemble Approach for Identification of Distracted Driver by Implementing Transfer Learned Deep CNN Architectures | IEEE | 2022 | Conference |
27 | Azmain Yakin Srizon, S. M. Mahedy Hasan, Md. Farukuzzaman Faruk, Abu Sayeed and Md. Ali Hossain | Human Activity Recognition Utilizing Ensemble of Transfer-Learned Attention Networks and a Low-Cost Convolutional Neural Architecture | IEEE | 2022 | Conference |
28 | Md. Mehedi Hasan, Md. Ali Hossain, Azmain Yakin Srizon and Abu Sayeed | ComNet: A Deep Convolutional Neural Network Capable of Classifying Compound Bengali Handwritten Characters High Number of Classes in a Data-Scarce State | IEEE | 2022 | Conference |
29 | Koki Hirooka, Md. Al Mehedi Hasan, Jungpil Shin and Azmain Yakin Srizon | Ensembled Transfer Learning Based Multi-channel Attention Networks for Human Activity Recognition in Still Images | IEEE Access | 2022 | Journal |
30 | Jungpil Shin, Akitaka Matsuoka, Md. Al Mehedi Hasan and Azmain Yakin Srizon | American Sign Language Alphabet Recognition by Extracting Feature from Hand Pose Estimation | Sensors, MDPI | 2021 | Journal |
31 | Mohiuddin Ahmed, Abu Sayeed, Azmain Yakin Srizon, Md Rakibul Haque and Md. Mehedi Hasan | A Deep Learning Approach in Detailed Fingerprint Identification | Taylor & Francis | 2021 | Book Chapter |
32 | Md Rakibul Haque, Azmain Yakin Srizon and Mohiuddin Ahmed | Probing Skin Lesions and Performing Classification of Skin Cancer Using EfficientNet while Resolving Class Imbalance Using SMOTE | Taylor & Francis | 2021 | Book Chapter |
33 | Abu Sayeed, Jungpil Shin, Md. Al Mehedi Hasan, Azmain Yakin Srizon and Md. Mehedi Hasan | BengaliNet: A Low-Cost Novel Convolutional Neural Network for Bengali Handwritten Characters Recognition | Applied Sciences, MDPI | 2021 | Journal |
34 | Md. Mehedi Hasan, Md. Ali Hossain, Azmain Yakin Srizon, Abu Sayeed, Mohiuddin Ahmed and Md Rakibul Haque | Improving Performance of a Pre-trained ResNet-50 Based VGGFace Recognition System by Utilizing Retraining as a Heuristic Step | IEEE | 2021 | Conference |
35 | Azmain Yakin Srizon, Md. Ali Hossain and Md Rakibul Haque | Low Resolution Hand Gestures Recognition of Bengali Sign Alphabet by Using a Convolutional Neural Network | IEEE | 2021 | Conference |
36 | Md Rakibul Haque, Azmain Yakin Srizon and Md. Al Mamun | Exploring Spectral and Spatial Features Using a Hybrid Approach Combining Stacked AutoEncoder and a Novel Convolutional Neural Network for Hyperspectral Image Classification | IEEE | 2021 | Conference |
37 | Md. Mehedi Hasan, Azmain Yakin Srizon, Abu Sayeed and Md. Al Mehedi Hasan | High Performance Classification of Caltech-101 with a Transfer Learned Deep Convolutional Neural Network | IEEE | 2021 | Conference |
38 | Md. Al Mehedi Hasan, Jungpil Shin, Utsha Das and Azmain Yakin Srizon | Identifying Prognostic Features for Predicting Heart Failure Using Machine Learning Algorithm | ACM | 2021 | Conference |
39 | Abdul Kader, Samiha Sharif, Pranta Bhowmick, Fahmida Haque Mim and Azmain Yakin Srizon | Effective workflow for high-performance recognition of fruits using machine learning approaches | International Research Journal of Engineering and Technology | 2020 | Journal |
40 | Md. Mehedi Hasan, Azmain Yakin Srizon and Md. Al Mehedi Hasan | Classification of Bengali Sign Language Characters by Applying a Novel Deep Convolutional Neural Network | IEEE | 2020 | Conference |
41 | Ananya Sarkar, Rabiul Islam and Azmain Yakin Srizon | A Comprehensive Pre-processing Approach for High-Performance Classification of Twitter Data with several Machine Learning Algorithms | IEEE | 2020 | Conference |
42 | Utsha Das, Azmain Yakin Srizon, Md. Al Mehedi Hasan, Julia Rahman and Md. Khaled Ben Islam | Effective Data Dimensionality Reduction Workflow for High-Dimensional Gene Expression Datasets | IEEE | 2020 | Conference |
43 | Md. Mehedi Hasan, Azmain Yakin Srizon, Abu Sayeed and Md. Al Mehedi Hasan | Classification of Sign Language Characters by Applying a Deep Convolutional Neural Network | IEEE | 2020 | Conference |
44 | Md. Mehedi Hasan, Azmain Yakin Srizon, Abu Sayeed and Md. Al Mehedi Hasan | Bengali Handwritten Isolated Compound Characters Recognition by Applying Transfer Learned Deep Convolutional Neural Network | IEEE | 2020 | Conference |
45 | Md. Mehedi Hasan, Azmain Yakin Srizon, Abu Sayeed and Md. Al Mehedi Hasan | Classification of American Sign Language by Applying a Transfer Learned Deep Convolutional Neural Network | IEEE | 2020 | Conference |
46 | Utsha Das, Azmain Yakin Srizon and Md. Al Mehedi Hasan | Accurate Recognition of Coronary Artery Disease by Applying Machine Learning Classifiers | IEEE | 2020 | Conference |
47 | Utsha Das, Azmain Yakin Srizon, Md. Ansarul Islam, Dhiman Sikder Tonmoy and Md. Al Mehedi Hasan | Prognostic Biomarkers Identification for Diabetes Classification by Utilizing Machine Learning Classifiers | IEEE | 2020 | Conference |
48 | Md. Mehedi Hasan, Azmain Yakin Srizon, Abu Sayeed and Md. Al Mehedi Hasan | Handwritten Numerals Recognition by Employing a Transfer Learned Deep Convolution Neural Network for Diverse Literature | IEEE | 2020 | Conference |
49 | Md. Mehedi Hasan, Azmain Yakin Srizon, Abu Sayeed and Md. Al Mehedi Hasan | High-Performance Object Recognition by Employing a Transfer Learned Deep Convolutional Neural Network | IEEE | 2020 | Conference |
50 | Md. Mehedi Hasan, Azmain Yakin Srizon, Abu Sayeed and Md. Al Mehedi Hasan | Accurate Recognition of Leukemia Sub-types by Utilizing a Transfer Learned Deep Convolutional Neural Network | IEEE | 2020 | Conference |
51 | Abu Sayeed, Md. Mehedi Hasan and Azmain Yakin Srizon | Bengali Sign Language Characters Recognition by Utilizing Transfer Learned Deep Convolutional Neural Network | IEEE | 2020 | Conference |
52 | Md. Mehedi Hasan, Azmain Yakin Srizon, Abu Sayeed and Md. Al Mehedi Hasan | Bengali Handwritten Compound Characters Recognition by Utilizing Transfer Learning | IEEE | 2020 | Conference |
53 | Ananya Sarker, Md. Shahid Uz Zaman and Azmain Yakin Srizon | Twitter data classification by applying and comparing multiple machine learning techniques | International Journal of Innovative Research in Computer Science & Technology | 2019 | Journal |
54 | Azmain Yakin Srizon and Md. Al Mehedi Hasan | Prognostic Biomarker Identification for Pancreatic Cancer by Analyzing Multiple mRNA Microarray and microRNA Expression Datasets | IEEE | 2019 | Conference |
Phd Students | |||
Id | Name | Thesis work | Current Position |
Masters Students | |||
Id | Name | Thesis work | Current Position |
Undergraduate Students | |||
Id | Name | Thesis work | Current Position |
1703066 | Rahul Reza Roky | Empowering the Deaf Community: A Vision-Based Method for Understanding Bangla Sign Language Numerals | Student |
1703009 | Maria Chowdhury | Recognition of Leukemia Sub-types Using Transfer Learning and Extraction of Distinguishable Features Using an Effective Machine Learning Approach | Student |
1703111 | Md. Mazahrul Islam | Prognostic Biomarker Identification for Earlier Diagnosis of Pancreatic Cancer Using Multiple mRNA Microarray and microRNA Expression Datasets | Student |
1703016 | Kawshik Banerjee | Statistically Quantifying for Polysemous Words using Embedding Regression | Student |
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