EXTERNAL PROFILES
Professor
Md. Javed Hossain
N/A
Computer Science and Telecommunication Engineering
BIOGRAPHY
Md. Javed Hossain received B.Sc. (Honors) and M.Sc. degrees in 1988 and 1990 respectively from the Department of Applied Physics and Electronics, the University of Dhaka, Bangladesh. He completed one year as a research student of Intelligent Information Control & Systems (IICS) Lab under the Department of Electrical, Electronics & Information Engineering Wonkwang University, South Korea, during the whole year of 2005. He served as a teacher on Computer Science courses under Atish Dipankar University of Science and Technology and National University for 7 years. He joined as a Lecturer of the Department of Computer Science and Telecommunication Engineering of Noakhali Science and Technology University on 18th June 2006. He has been serving as a Professor of the same department since 19th March 2023. His research interests include Digital Signal Processing, Fuzzy Logics, Wireless Communication Systems and Machine Learning.
RESEARCH INTERESTS
Last updated on 2025-10-13 13:11:58
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AWARDS AND ACHIEVEMENTS
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An exploratory analysis of feature selection for malware detection with simple machine learning algorithms
Dataset of network simulator related-question posts in stack overflow
Feature ranking and network analysis of global financial indices
Machine learning model to analyze telemonitoring dyphosia factors of Parkinson’s disease
Sarcasm Detection in Tweets: A Feature-based Approach using Supervised Machine Learning Models
What network simulator questions do users ask? a large-scale study of stack overflow posts
Building a secure model of e-Medication management system for optimum pharmaceuticals safety
IMPACTS OF VARIATIONS IN CHANNEL LENGTH, WIDTH AND GATE WORK FUNCTION OF GAN FINFET AND SI-FINFETON ESSENTIAL ELECTRICAL PARAMETERS
Network Structure of Financial Market of S&P500 around Financial Crises
PERFORMANCE COMPARISON OF ELECTRICAL PARAMETERS BETWEEN GANFINFET AND SI-FINFET NANO DEVICES
Random Forest Classifier Based Approach for Next Generation Sequencing Gene Data Classification
Performance evaluation of multi-cloud compared to the single-cloud under varying firewall conditions
Exploring Congestion Control Mechanism of TCP Vari-ants over Wired & Wireless Networks
A comparative study of sub-10nm Si, Ge and GaAs n-channel FinFET
Cloud computing technology in Bangladesh: a framework of social & economic development
Designing High Bandwidth Connected EH and E-Shaped Microstrip Patch Antennas for S-band Communication
A detail overview of cloud computing with its opportunities and obstacles in developing countries
Analysing the Effects of Transmission Range of Base Station on Mobile WiMAX Network Transport Layer Protocols
An Anchorless Cooperative Localization System for Wireless Ad-Hoc Networks
Detail comparison of network simulators
Symbol Generation and Enhanced Capacity in LTE-A Network using MIMO-OFDM
Implementation and Performance Analysis of Mobile Cloud Computing based on Java and Cloud Analyst
Virtualization of Campus LAN and analyzing traffic issues of these VLANs
Performance Comparison and Improvement of Broadcasting Protocols in Mobile Ad-Hoc Network
Accessibility analysis and evaluation of government-websites’ in developing countries: Case study Bangladesh
PROTEIN STRUCTURE ALIGNMENT USING DYNAMIC PROGRAMMING
Designing a high bandwidth Patch Antenna and comparison with the former Patch Antennas
A Comprehensive Method to design Fuzzy Inference System using SAHN based Algorithm
Book Name: Emerging Technologies in Data Mining and Information Security: Proceedings of IEMIS 2022, Volume 1
Chapter Title: A study of e-commerce platform issues shared by developers on stack overflow
Book Name: Innovations in Computer Science and Engineering: Proceedings of 8th ICICSE
Chapter Title: Dynamic trade flow of selected commodities using entropy technique
Implementation and comparison of routing protocol RIVER with other VANET protocols
A new approach of Fuzzy Inference System with the aid of SAHN based algorithm
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Md Ashikur Rahman
Completed M.Sc.(Engg) Degree
Thesis Title: An Exploratory Analysis of Feature Selection for Malware Detection with Simple Machine Learning Algorithms
Overview: Computers have become increasingly vulnerable to malicious attacks with an increase in popularity and the proliferation of open system architectures. There are numerous malware detection technologies available to protect the computer operating system from such attacks. This type of malware detector targets programs based on patterns detected in the properties of computer applications. As the amount of analytical data increases, the computer defense system is adversely affected. The performance of the detection mechanism has been hindered due to the presence of numerous irrelevant characteristics. The goal of this study is to provide a feature selection approach that will help malware detection systems be more accurate by detecting pertinent and significant traits. Furthermore, by selecting the most important features, it is possible to maintain an acceptable level of accuracy in the detection of malware while significantly lowering the computational cost. The proposed method displays the most important features (MIFs) obtained from each machine learning method, including data cleaning and feature selection. Furthermore, the method applies six machine learning classification techniques to the selected feature set. Several classifiers were evaluated based on several characteristics for malware detection, including Support Vector Machines (SVM), Logistic Regression (LR), K-nearest neighbor (K-NN), Decision Tree (DT), Naive Bayes (NB), and Random Forest (RF). Our suggested model was tested on two malware datasets to determine its effectiveness. In terms of accuracy, precision, F1 scores, and recall, the experimental findings show that RF and DT classifiers beat other techniques.
- Institutional Email: javed@nstu.edu.bd
- Personal Email: javed.nstu@gmail.com
- Mobile number: 01718175139
- Emergency Contact: 01883009974
- PABX:0321-61444
- Website:N/A
Department
Computer Science and Telecommunication Engineering
Noakhali Science and Technology University