Electrical & Computer Engineer

Md Khalid Syfullah

B.Sc. Engg. (ECE) · Researcher · Software Developer

Academic Background

Rajshahi University of Engineering & Technology (RUET)

Bachelor of Science in Electrical & Computer Engineering (ECE)

View Statement of Courses and Grades

CGPA: 3.30 / 4.00
Jan 2017 – Apr 2024

Where I've Worked

Qubitech Solutions

Software Developer
Apr 2021 – Dec 2021
Rajshahi, Bangladesh
  • Led development of 4 projects at Qubitech Solutions, fueling startup growth and technological advancement.
  • Collaborated with 2 startup clients, contributing to the development of Native Android apps and web platforms.
  • Worked closely with CEO Mr. Mahir Ashef and a team of 6 developers, achieving a large reduction in development time.

MonstarLab Bangladesh

Industrial Attachment
Apr 2021 – Jun 2021
Dhaka, Bangladesh (Remote)
  • Analyzed all SDLC phases, requirements analysis, database optimization schemas, and OOP principles for 2 projects.
  • Analyzed 4 design patterns and 2 development frameworks (AngularJS and Native Android) for platform development.
  • Learned beta testing to ensure product quality assurance, and Git for version control.

B.Sc. Thesis: BOIMELA

Development of An EPUB3 Reader with Multilingual EBook Store, OAuth 2.0 API and MVVM Architecture — M. K. Syfullah, Dept. of ECE, RUET

  • Developed a modern in-app reading experience in English and Bangla with reflowable layout and rich media content. Features include chapter navigation, progress monitoring, light/dark modes, and screen adjustment.
  • Structured e-book collection using MVVM for performance and scalability. Implemented secure API access with OAuth 2.0 authentication.
View Thesis →

Technical Stack

Languages

JavaC++JavaScriptPythonHTML5CSS3PHPXML

Mobile App

Android NativeJava + XMLFirebase AuthRetrofitTensorFlow Lite

Back-end

Node.jsExpressMongooseJWTBcryptjsMulterChaiMochaJest

Front-end

ReactReduxTailwind CSSBootstrap 5Axios

Database

MongoDBMySQLFirebaseSQLite

Cloud & DevOps

AWS (EC2, Route 53)GCP (Compute Engine)CPanelDockerGitBash

Linux

ApacheVsftpdNginxBind

Tools

PostmanGitHubSSHTrelloClickUpDeskTime

CMS

WordPressShopify

UI/UX

Adobe XDFigmaAdobe Illustrator

IDE

VS CodeAndroid StudioAnacondaJupyter

ML/DL

NumPyPandasScikit-LearnTensorFlowPyTorchSHAPLIME

Featured Work

Mobile App

BOIMELA

Mobile EPUB3 reader with e-book store. Seamless reading, bookmarking, and user library management.

Back-end

BOIMELA Back-end

Node.js REST API for Boimela EPUB 3.0 Reader. Authentication, book management, and purchase transactions.

Website

BOIMELA WEB

React web app for the Boimela E-Book Store. Browse, purchase, and read eBooks online.

Mobile App

PLASMA+

Plasma & blood banking platform connecting donors with recipients.

Website

VFloors360-Client

360° VR room visualization platform for exploring tile catalogs in realistic VR environments.

Back-end

VFloors360-Server

RESTful Node.js backend with user authentication and MongoDB tile management.

Website

VFloors360-Admin

React admin dashboard for managing tile textures and platform configurations.

Website

Task Manager

React task management app with real-time CRUD and Node.js/Express REST API.

Mobile App

Muslim Virtual Aid

Android app for Islamic practices: Quran access, Salah times, mosque locations, Qibla direction.

Mobile App

GrammarQuick

Educational Android app with grammar exercises and quizzes to enhance learning.

Mobile App

CXR17-DenseParallel-ELM

CNN-based app to detect 17 lung diseases from chest X-rays using DenseParallel-ELM model.

Mobile App

Plant Disease Classifier

CNN-based app classifying cotton and tomato plant diseases with high accuracy.

Website

ROPMS

PHP-based student-teacher profile management system with performance tracking.

Journal & Conference Publications

Journal

IRv2-Net: A Deep Learning Framework for Enhanced Polyp Segmentation

M. F. Ahmed, M. K. Syfullah, O. Sarkar, M. T. Islam, M. Nahiduzzaman, M. R. Islam, A. Khandakar, M. A. Ayari, M. E. H. Chowdhury

Sensors, 2023, 23(18):7724

DOI: 10.3390/s23187724 →
Journal

Parallel CNN-ELM: Multiclass Classification of Chest X-ray Images to Identify 17 Lung Diseases Including COVID-19

M. Nahiduzzaman, M. O. F. Goni, R. Hassan, Md. R. Islam, M. K. Syfullah, S. M. Shahriar, M. S. Anower, M. Ahsan, J. Haider, M. Kowalski

Expert Systems with Applications, 2023, 229(A):120528

DOI: 10.1016/j.eswa.2023.120528 →
Journal

Bridging the Gap: Advancing Transparency and Trustworthiness of Network Intrusion Detection with Explainable AI

M. T. Islam, M. K. Syfullah, M. G. Rashed, D. Das

Int. Journal of Machine Learning and Cybernetics, 2024

DOI: 10.1007/s13042-024-02242-z →
Journal

An Empirical Multi-Classification Approach of Classifying Lung Affected Diseases Using Multi-Scale CNN Model

O. Sarkar, M. R. Islam, M. K. Syfullah, M. T. Islam, M. F. Ahmed, J. Haider

Technologies, 2023, 11(5):134

DOI: 10.3390/technologies11050134 →
Journal

Plant Disease Classifier: Detection of Multi-crop Diseases Using Lightweight CNN Architecture

H. I. Peyal, M. Nahiduzzaman, M. A. H. Pramanik, M. K. Syfullah, S. M. Shahriar, A. Sultana, M. Ahsan, J. Haider, A. Khandakar, M. E. H. Chowdhury

IEEE Access, 2023

DOI: 10.1109/ACCESS.2023.3320686 →
Conference

Exploring the Potential: ML vs. DL in Network Security with Explainable AI Insights

M. T. Islam, M. K. Syfullah, J. Islam, H. M. S. Quadir, M. G. Rashed, D. Das

ICCIT, IEEE, 2023, Cox's Bazar, Bangladesh

DOI: 10.1109/ICCIT60459.2023.10441363 →
Conference

Classification and Segmentation on Multi-regional Brain Tumors Using Volumetric MRI with Customized 3D U-Net

M. F. Ahamed, M. R. Islam, T. Hossain, K. Syfullah, O. Sarkar

ICICTD, Springer, 2023, Singapore

DOI: 10.1007/978-981-19-7528-8_18 →
Conference

An Empirical Model of Classifying Lung Affected Diseases to Detect COVID-19 Using Chest X-ray

O. Sarkar, M. R. Islam, T. Hossain, M. K. Syfullah, M. T. Islam, M. Moniruzzaman

IICAIET, IEEE, 2022, Kota Kinabalu, Malaysia

DOI: 10.1109/IICAIET55139.2022.9936762 →
Conference

IoT Based Multi-layered Security & Automated Monitoring System

M. K. Syfullah, H. I. Peyal, S. S. Bipro, S. M. Shahriar, M. H. Mondol

IC4ME2, IEEE, 2021, Rajshahi, Bangladesh

DOI: 10.1109/IC4ME253898.2021.9768512 →

Professional Credentials

Machine Learning Specialization

University of Washington — Coursera

September 2023 · KJ5PZ6VVX4NS

Verify →

Reinforcement Learning Specialization

University of Alberta — Coursera

September 2023 · VVN725H2W3SK

Verify →

Self-Driving Cars Specialization

University of Toronto — Coursera

October 2023 · N2ZKC5FNBR95

Verify →

IELTS

7.5
Listening: 8.0 · Speaking: 7.5
Reading: 7.5 · Writing: 6.5

GRE

301
Verbal: 145 · Quantitative: 156
Analytical Writing: 3.5

Achievements & Recognition

WINNER, IEEE YESIST12 2020
Special Track · Malaysia
September 2020

PLASMA+ — AI-based Blood and Plasma banking mobile app facilitating COVID-19 detection from chest X-rays.

2nd Runner-up, Virtual Project Competition on ICT
IICT, RUET · Bangladesh
December 2020

PLASMA+ — DL-based lightweight lung-affected disease recognition app with COVID-19 detection.

Extraordinary Achievement Award
Distinguished Achievements, ECE, RUET · Bangladesh
October 2019

IoT Multi-layered Security & Automated Monitoring System for home/office security.

Most Popular Project Award, IEEE YESIST12 2019
Maker Fair Track · Thailand
September 2019

IoT based Monitoring Car Robot for Disaster Management with environmental parameter detection.

Medspire, IEEE R10 HAC Special Project

IEEE Region 10 & IEEE HAC Special Call (R10-HTA-021)
Rajshahi, Bangladesh
May 2020 – Mar 2021

Developed a telemedicine platform for Android during COVID-19 for patient-doctor interaction. Participated in startup pitching competition.

Organizing Committee Member

Hult Prize at RUET, 2019-20
December 2019

Managed communications between event sponsors and organizers. Interacted with judges' panel during competition.

Web Developer

Technocracy 2019, Dept. of ECE, RUET
June 2019

Developed an event management website for the technical organization of Technocracy 2019.