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Noakhali Science and Technology University

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Software Engineering Program (BSSE)

Academic Profile of Rafid Mostafiz


Rafid Mostafiz

About Rafid Mostafiz

Google Scholar: https://scholar.google.com/citations?user=ATR5BEEAAAAJ&hl=en

Github: https://github.com/rafid909/python-raw-codes

Publications


Rafid Mostafiz, Mohammad Shorif Uddin*, Md. Mahfuz Reza, Mohammad Motiur Rahman. (2020). "Covid-19 Detection in Chest X-ray Though Random Forest Classifier using a Hybridization of Deep CNN and DWT Optimized Features." Journal of King Saud University - Computer and Information Sciences. (Elsevier). (DOI: https://doi.org/10.1016/j.jksuci.2020.12.010.
 

Rafid Mostafiz, Md. Mosaddik Hasan, Md. Imran Hossain, M. M. Rahman. (2019) "An Intelligent System for Gastrointestinal Polyp Detection in Endoscopic Video Using Fusion of Bidimensional Empirical Mode Decomposition and Convolutional Neural Network Features." International Journal of Imaging Systems and Technology. Wiley Publisher (DOI:10.1002/ima.22350)
 

Rafid Mostafiz, Mohammad Motiur Rahman, A.K.M. Kamrul Islam, Saeid Belkashim*. (2020)" Focal Liver Lesion Detection in Ultrasound Image Using Deep Feature Fusions and Super Resolution", Machine Learning and Knowledge Extraction, MDPI Publisher. (DOI: 10.3390/make2030010)
 

Rafid Mostafiz, Mohammad Shorif Uddin*, Nur-A-Alam, Md. Mahmodul Hasan, Mohammad Motiur Rahman. (2021) "MRI-Based Brain Tumor Detection using the Fusion of Histogram Oriented Gradients and Neural Features." Evolutionary Intelligence-Springer. (DOI: 10.1007/s12065-020-00550-1).
 

Rafid Mostafiz, Mohammad Motiur Rahman, Mohammad Shorif Uddin*. (2020),"Gastrointestinal Polyp Classification through Empirical Mode Decomposition and Neural Features", S N Applied Sciences, Springer Nature. (DOI: 10.1007/s42452-020-2944-4).
 

Rafid Mostafiz, M. M. Rahman, M. K. PK, and M. A. Islam. (2017) "Speckle Noise Reduction for 3-D Ultrasound Image Volume by Optimum Threshold Parameter Estimation of Wavelet Coefficient using Fisher Discriminant Analysis." International Journal of Computational Vision and Robotics. CESER Publisher 
 

Rafid Mustafiz, Abu Sayem Mohammad Delowar Hossain, Nazrul Islam*, Mohammad Motiur Rahman, "Analysis of QoS in Software Defined Wireless Network with Spanning Tree Protocol", International Journal of Computer Network and Information Security(IJCNIS), Vol.9, No.6, pp.61-68, 2017.DOI: 10.5815/ijcnis.2017.06.07.
 

Rafid Mostafiz, M. M. Rahman*, M. K. PK, and M. A. Islam. (2018) "Speckle Noise Reduction for 3-D Ultrasound Images by Optimum Threshold Parameter Estimation of Bi-dimensional Empirical Mode Decomposition Using Fisher Discriminant Analysis." International Journal of Signal and Imaging Systems Engineering. Inderscience Publisher (DOI: 10.1504/IJSISE.2018.091886) 
 

Book Chapter:

Rafid Mostafiz, M. M. Rahman. (2018) "Computer-aided Speckle Noise Analysis in Ultrasound Images through Fusion of Convolutional Neural Network and Wavelet Transform with Linear Discriminate Analysis." International Joint Conference on Computational Intelligence (IJCCI 2018), Springer. ( DOI: 10.1007/978-981-13-7564-4_16)
 

Experiences and Activities


Teaching Experience

01/01/2021 – 23/01/2022 – Dhaka, Bangladesh

  ASSISTANT PROFESSOR (RESEARCH) - Department of Computer Science & and Engineering, Dhaka International University

         Teaching activity: Algorithm Design and Analysis, Data Structures, Object-Oriented Programming with JAVA, Digital Image Processing, Artificial Intelligence.
         Research Activity: Artificial Intelligence, Computer and Robotics Vision, Neural Network and Machine Learning, Internet of Things, BlockChain.

 

02/01/2018 – 31/12/2020 – Dhaka, Bangladesh
LECTURER (RESEARCH) – Department of Computer Science & and Engineering, Dhaka International University.

            Teaching activity: Structure Programming, Computer Architecture, Database Management System, Theory of Computing, Numerical Analysis, Operating System.
             Research Activity: Digital Image Processing, Biomedical Imaging, 3D medical image, Computer Vision and Deep Learning, Software Defined Networking.