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'm currently pursuing 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 works are 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
2
Journal Articles
2
Conference Papers
19
Standard List of Bibliography
SL Authors Title Publisher Details Publication Year Type
1 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
2 Mohiuddin Ahmed, Abu Sayeed, Azmain Yakin Srizon, Md Rakibul Haque and Md. Mehedi Hasan A Deep Learning Approach in Detailed Fingerprint Identification [Accepted] Taylor & Francis 2021 Book Chapter
3 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 [Accepted] Taylor & Francis 2021 Book Chapter
4 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
5 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
6 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
7 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
8 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
9 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
10 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
11 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
12 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
13 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
14 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
15 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
16 Utsha Das, Azmain Yakin Srizon and Md. Al Mehedi Hasan Accurate Recognition of Coronary Artery Disease by Applying Machine Learning Classifiers IEEE 2020 Conference
17 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
18 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
19 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
20 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
21 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
22 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
23 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, 2011
  •  Reviewer, IEEE Access
Phd Students
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Masters Students
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Undergraduate Students
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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]