about me

personal info :

name : MD TAWFIQUL ISLAM

email : tawfiq.ctgbd@gmail.com

address : 21899 VALLEY RANCH CROSSING Dr, Porter,TX, USA

skill : Python, Java, C++, JavaScript, SQL, React, Node.js, Android/iOS, Databases, Leadership, Risk Management, Budgeting, Workflow Optimization, Network & Cloud Security, VAPT, Security Tools, Compliance, Keyword Research, On/Off-page, Problem Solving, Time Management

experience : 9 Years+

language : Bangla, English, Hindi

download CV

9 Years+

years of experience

248+

happy clients

29+

project completed

2

awards won

my skills

html

css

javascript

sass

jquery

react.js

My Education

2024

M.Sc. in Engineering Management

Lamar University

Texas, United States of America

2020

B.Sc. in Computer Science & Engineering

Port City International University

Chattogram, Bangladesh

my Research Work

Google Scholar
2025 (most recent)

Heart Attack Prediction: A Comparative Analysis of Supervised Machine Learning Algorithms for Early Detection and Risk Stratification.

IEEE International Conference on Quantum Photonics, Artificial Intelligence, and Networking- QPAIN 2025

2025

Adversarial Defence Mechanisms in Neural Networks for ICS Fault Tolerance: A Comparative Analysis.

doi.org/10.63125/xrp7be57

2025

Cybersecurity Risk Assessment Frameworks for Engineering Databases: A Systematic Literature Review.

doi.org/10.71292/sdmi.v2i01.22

2024

Neural Network–based Risk Prediction and Simulation Framework for Medical LOT Cybersecurity: An Engineering Management Model for Smart Hospitals.

doi.org/10.63125/g0mvct35

2024

Comparative Analysis of Neural Network Architectures for Medical Image Classification: Evaluating Performance Across Diverse Models.

doi.org/10.63125/feed1x52

2023

A Quantitative Assessment of Secure Neural Network Architectures for Fault Detection in Industrial Control Systems.

doi.org/10.63125/3m7gbs97

2022

Systematic Review of Cybersecurity Threats in IOT Devices Focusing on Risk Vectors Vulnerabilities and Mitigation Strategies.

doi.org/10.63125/wh17mf19