Md Manjurul Ahsan

Md Manjurul Ahsan
University of Oklahoma | ou · School of Industrial and Systems Engineering

Doctor of Philosophy in Industrial and Systems Engineering

About

23
Publications
18,823
Reads
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69
Citations
Research Experience
August 2019 - present
University of Oklahoma
Position
  • Research Assistant
Description
  • Currently, I am working as a data analyst. My research interest includes image processing, computer vision, deep learning, and machine learning.
Education
August 2019 - December 2022
University of Oklahoma
Field of study
  • Industrial and Systems Engineering.

Publications

Publications (23)
Article
Full-text available
Speech perception in an adverse background/noisy environment is a complex and challenging human process, which is made even more complicated in foreign-accented language for bilingual and monolingual individuals. Listeners who have difficulties in hearing are affected most by such a situation. Despite considerable efforts, the increase in speech in...
Article
Full-text available
The quadrotor is an ideal platform for testing control strategies because of its non-linearity and under-actuated configuration, allowing researchers to evaluate and verify control strategies. Several control strategies are used, including Proportional-Integral-Derivative (PID), Linear Quadratic Regulator (LQR), Backstepping, Feedback Linearization...
Article
Full-text available
Facial recognition (FR) in unconstrained weather is still challenging and surprisingly ignored by many researchers and practitioners over the past few decades. Therefore, this paper aims to evaluate the performance of three existing popular facial recognition methods considering different weather conditions. As a result, a new face dataset (Lamar U...
Article
Full-text available
Chest radiographs (X-rays) combined with Deep Convolutional Neural Network (CNN) methods have been demonstrated to detect and diagnose the onset of COVID-19, the disease caused by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). However, questions remain regarding the accuracy of those methods as they are often challenged by limite...
Article
Full-text available
Face recognition (FR) in an unconstrained environment, such as low light, illumination variations, and bad weather is very challenging and still needs intensive further study. Previously, numerous experiments on FR in an unconstrained environment have been assessed using Eigenface, Fisherface, and Local binary pattern histogram (LBPH) algorithms. T...
Conference Paper
Full-text available
Artificial intelligence persists on being a right-hand tool for many branches of biology. From preliminary advices and treatments, such as understanding if symptoms related to fever or cold, to critical detection of cancerous cell or classification of X-rays, traditional machine learning and deep learning techniques achieved remarkable feats. Howev...
Article
Full-text available
The outbreak of COVID-19 has caused more than 200,000 deaths so far in the USA alone, which instigates the necessity of initial screening to control the spread of the onset of COVID-19. However, screening for the disease becomes laborious with the available testing kits as the number of patients increases rapidly. Therefore, to reduce the dependenc...
Conference Paper
Full-text available
Code review is one of the crucial steps in the software development process. Despite having many experts, assigning the appropriate one is often challenging, time-consuming, and inefficient for industrial developers and researchers who demand instant solutions. An automated code review system can serve as a proficient and alternative opportunity fo...
Article
Full-text available
Cloud computing gained much popularity in the recent past due to its many internet-based services related to data, application, operating system, and eliminating the need for central hardware access. Many of the challenges associated with cloud computing can be specified as network load, security intrusion, authentication, biometric identification,...
Article
Full-text available
The limitations and high false-negative rates (30%) of COVID-19 test kits have been a prominent challenge during the 2020 coronavirus pandemic. Manufacturing those kits and performing the tests require extensive resources and time. Recent studies show that radiological images like chest X-rays can offer a more efficient solution and faster initial...
Preprint
The outbreak of COVID-19 disease caused more than 100,000 deaths so far in the USA alone. It is necessary to conduct an initial screening of patients with the symptoms of COVID-19 disease to control the spread of the disease. However, it is becoming laborious to conduct the tests with the available testing kits due to the growing number of patients...
Preprint
Full-text available
The primary purpose of this research is to develop a facial recognition application which will recognize a face in an unconstrained environment such as in foggy, cloudy, or rainy weather or in low light conditions. During this research, for the very first time we have experimented with face detection and recognition in unconstrained weather such as...
Chapter
Full-text available
A machine learning based Distributed Denial of Service (DDoS) attack detection system, implemented in a virtual SDN environment testbed, has been presented in this paper. This system identifies whether any incoming traffic in a network is a DDoS type or not. To implement this approach, we applied AdaBoosting with decision stump as a weak classifier...
Data
A Genetic Algorithm Approach to Optimize Dispatching for A Microgrid Energy System with Renewable Energy Sources
Conference Paper
Full-text available
Distributed network reconfiguration techniques are used widely to optimize power distribution systems. As renewable energy generation are very stochastic in nature, network reconfiguration with this stochastic nature does not provide the optimal solution. To address this problem a three-objective genetic algorithm approach has been taken in this pr...
Article
Full-text available
Quick Response (QR) codes are getting widely popular as the demand for mobile computing is increasing, too. However, a QR code has apparently a data limit problem when we consider designing color QR codes. Despite having color QR codes decoding from printed material, new problems appear due to different printer's color depth, paper quality, environ...
Article
Full-text available
Quick Response Code has been widely used in the automatic identification fields (Liu, Ju, & Mingjun, 2008). The present work illustrates an image processing system able to discover, split and decodes the most common 2D symbol used in bar code applications. The different symbol is processed by manipulating their similarities, to achieve an integrate...
Poster
Full-text available
The primary purpose of this research is to develop a facial recognition application which will recognize a face in an unconstrained environment such as foggy, cloudy, rainy weather or low light condition with different facial expression
Article
Full-text available
Face orientation recognition is an important topic in computer vision and pattern recognition. Due to the non-rigid properties of faces, it is computationally expensive and difficult to achieve good recognition accuracy and robustness in face orientation recognition. In this paper, we propose an image mapping technique for face analysis in smart ca...
Article
Full-text available
3D printing is becoming an important and potential sector in the manufacturing industry. In additive manufacturing industry now believed that, in near future they will produce all kind of product includes food, cloths, machines, and medicines even human body parts. Richard van Noort (2012) provides an overview of how 3d printing becoming a crucial...
Article
Full-text available
In a restaurant waiting for service is a common phenomenon for the customer. Restaurant owners are not concerned about the matter of waiting customer though they do not want their customer would go another competitor’s door. There are several determining factors for a restaurant to be considered as a good or a bad one. Taste, cleanliness, the resta...

Questions

Questions (2)
Question
How valuable is it to master Excel VBA in 2021, when most fields are dominated by data science and Python?
Question
I want to capture my own image and want to create a dataset. I want to create more image using those row image. Like rotation, mirroring , scaling etc. Is their any tool available which can take 20-25 picture and create more image with rotation and illumination?
I will be glad if someone give me any valuable resource or link or book info which can explain how to create a dataset for face recogniton by croping, resizing etc.
I will be glad if some one help me with valuable resource.

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Projects

Projects (3)
Project
The aim of this project is to recognize a face in an unconstrained environment such as cloudy, rainy, foggy etc. using existing different kind of facial recognition algorithm.