Profile

Md. Azmain Yakin Srizon

মোঃ আজমাইন ইয়াক্বীন সৃজন

Lecturer

  •  Room No:  Department of CSE, RUET
  •  Phone:   880-1790187189
  •  Email:   azmainsrizon@gmail.com
  • azmainsrizon@cse.ruet.ac.bd
  •  Website:   https://www.ruet.ac.bd/azmainsrizon

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.
Field of Research
  •  Computer Vision
  •  Pattern Recognition
  •  Biomedical
  •  Bioinformatics
  •  Deep Learning
  •  Transfer Learning
  •  Machine Learning
  •  Digital Image Processing
Google Scholar Publons ORCID ResearchGate
  •  First Joined: 23rd Feb, 2021
  •      Dept. of Computer Science & Engineering

Position

Education

More about Md. Azmain Yakin Srizon
Book / Book Chapter
12
Journal Articles
6
Conference Papers
36
Standard List of Bibliography
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
  •  Award of Excellency, Machine Learning Research Group, 2019
  •  Champion, Huawei Seeds for the Future Bangladesh, 2018
  •  1st Runner-Up, RITS Idea Contest, 2015
  •  চৌকস (Meritorious) Award: 2002-2012, Rajshahi University School & College, 2012
  •  Reviewer, IEEE Access
Phd Students
IdNameThesis workCurrent Position
Masters Students
IdNameThesis workCurrent Position
Undergraduate Students
IdNameThesis workCurrent Position
1703066Rahul Reza RokyEmpowering the Deaf Community: A Vision-Based Method for Understanding Bangla Sign Language NumeralsStudent
1703009Maria ChowdhuryRecognition of Leukemia Sub-types Using Transfer Learning and Extraction of Distinguishable Features Using an Effective Machine Learning ApproachStudent
1703111Md. Mazahrul IslamPrognostic Biomarker Identification for Earlier Diagnosis of Pancreatic Cancer Using Multiple mRNA Microarray and microRNA Expression DatasetsStudent
1703016Kawshik BanerjeeStatistically Quantifying for Polysemous Words using Embedding RegressionStudent
Activity Description
Attended Conferences

As Author:

  1. 5th International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering (IC4ME2), 2019 [11-12 July 2019]
  2. IEEE TENSYMP (2020 IEEE Region 10 Symposium), 2020 [5-7 June 2020]
  3. 2nd International Conference on Advanced Information and Communication Technology (ICAICT), 2020 [27-28 November 2020]
  4. 11th International Conference on Electrical and Computer Engineering (ICECE), 2020 [17-19 December 2020]
  5. 2nd International Conference on Sustainable Technologies for Industry 4.0 (STI), 2020 [19-20 December 2020]
  6. The 23rd International Conference on Computer and Information Technology (ICCIT), 2020 [19-21 December, 2020]
  7. Information and Communication Technology for Sustainable Development (ICICT4SD), 2021 [27-28 February 2021]
  8. International Conference on Big Data, IoT and Machine Learning (BIM), 2021 [23-25 September 2021]

As Participant:

  1. The International Conference on Automation, Control and Mechatronics for Industry 4.0 (ACMI), 2020 [8-9 July 2021]
Trainings & Workshops

As Participant:

  1. Training Workshop on BNQF and BAC Accreditation by IQAC, RUET [19-20 June 2021]