Mohammed Ashikur Rahman

Mohammed Ashikur Rahman
University of Liberal Arts Bangladesh (ULAB) · Department of Computer Science and Engineering

Doctor of Philosophy

About

15
Publications
45,793
Reads
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187
Citations
Introduction
Currently, I have been studying Doctor of Philosophy in computer science in International Islamic University Malaysia and completed Master in computer network from University of Hertfordshire, United Kingdom. My current research topic is to develop prediction model using machine learning techniques and currently using MIMIC III data set. In addition, I have interest to work on software development models and Intrusion detection in wireless ADHOC/ sensor network.
Additional affiliations
February 2022 - present
University of Liberal Arts Bangladesh (ULAB)
Position
  • Professor (Assistant)
September 2015 - January 2022
University of South Asia
Position
  • Professor (Assistant)
April 2010 - December 2013
Atish Dipankar University of Science and Technology
Position
  • Lecturer
Education
February 2018 - August 2021

Publications

Publications (15)
Article
Full-text available
Computer security and intrusion detection has developedinto progressively more significant in recent computer sector, which is providing security of confidential data and information. At present, different progress and advances of intrusion detection is applying and operating, although in consequence, these progressions are comparatively unsuccessf...
Article
Full-text available
Medical data mining has great potential for exploring the hidden patterns in the data sets of the medical domain. These patterns can be utilized for clinical diagnosis. However, the available raw medical data are widely distributed, heterogeneous in nature, and voluminous. These data need to be collected in an organized form. This collected data ca...
Article
Full-text available
Now a day, clinical decision support systems (CDSS) are widely used in the cardiac care due to the complexity of the cardiac disease. The objective of this systematic literature review (SLR) is to identify the most common variables and machine learning techniques used to build machine learning-based clinical decision support system for cardiac care...
Article
Full-text available
Wireless Sensor Networks (WSNs) are currently being used in various industries such as healthcare, engineering, the environment and so on. Security is a significant issue for WSN due to its infrastructure and limited physical security. Distributed Denial of Service (DDoS) is one of the most vulnerable attacks that can be defined as attacks launched...
Article
Full-text available
Data Mining is a powerful technology which is an integral sub-field of Computer Science. In this research paper, we have used data mining to improve the quality of child birth process. Nowadays, the risks and cost of Caesarean deliveries is known to be very high i.e. the risks of maternal morbidity and complications in future pregnancies. The rate...
Poster
Full-text available
Presentation of PhD research in a poster
Article
Full-text available
Information Technology-Enabled Services (ITeS) need greater comprehension as the global economy becomes more and more service-oriented. IT offers a growing number and variety of services. In addition, IT allows the development of new services previously untouched in diverse fields. Today, ITeS has been more than outsourcing services because of the...
Conference Paper
Full-text available
There are quite a few up-to-date and every so habitually used Agile style but among those Serum, Kanban and XP (Extreme Programming) are generally the most mutual. On instance, organizations use typically tools and techniques from any but rather a lot they use roughly of the amalgamations of those approaches. Devouring in cognizance that those appr...
Article
Full-text available
A literature Review (LR) is a summary of the existing research on a specific topic from the electronic database. It must be based on secondary sources like research papers, journals, articles or books which are already published. It does not concern about new innovation, but it is possible to find the further research according to scholar’s opinion...
Conference Paper
Full-text available
Internet was introduced to the common people over two decades ago and over the years we have witnessed its massive growth into mass population through personal computers, laptops and cell phones. Until recently, Internet was a commodity of the people, i.e. end users of Internet were primarily humans. In the past few years we have witnessed that the...
Article
Full-text available
The software development models, which are also known as Software Development Life Cycle. There are too many software development models now, mainly waterfall, spiral, Rapid Action Development etc.; now a days Scrum, Kanban and Extreme Programming are widely used, which are in Agile Family; by the software industries. These prototypes have advantag...
Article
Full-text available
Association Rule Mining (ARM) is one of the most popular data mining techniques. Weight Association rule mining (WARM) is adapted to handle weighted associated mining problems where each item is allowed to have a weight. The goal is to steer the mining focus to those significant relationships involving items with significant weights rather than bei...
Article
Full-text available
Over 45 years after independence in 1971 the health system of Bangladesh has gone through a number of reforms and established an extensive health infrastructure in the public and private sectors. Bangladesh has achieved impressive improvements in population health status by achieving MDG 4 by reducing child death before the 2015 target, and rapidly...
Article
Full-text available
There is an important global need to improve early detection of oral cancer. Recent reports suggest that optical imaging technologies can aid in the identification of neoplastic lesions in the oral cavity; however, there is little data evaluating the use of optical imaging modalities in resource limited settings where oral cancer impacts patients d...
Article
Quantum dots (qdots) are a promising alternative to organic fluorophores for biological imaging. Advantages of quantum dots over organic fluorophores include broad excitation coupled with narrow, tunable emission, high resistance to chemical and metabolic degradation, a higher photobleaching threshold and finally the ability to be modified with a t...

Questions

Questions (14)
Question
AI is using in every sector now a days. Please state your view about pros and cons of using AI in health sector.

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Projects

Projects (5)