Moinul Sayed
PhD Candidate • Computer Science • Western University

ML/DL/LLM for Cybersecurity
+ High-Precision Android Positioning

I’m a PhD candidate in Computer Science at Western University, working on machine learning, deep learning, and LLM-based solutions for cyber threats, explainable AI, federated learning, and PPP-RTK techniques for Android platforms.

Contact Me — email & links View Publications See Projects
Profile photo of Moinul Islam Sayed
Moinul Sayed
PhD Candidate • Department of Computer Science • Western University
msayed6@uwo.ca LinkedIn ResearchGate Google Scholar ORCiD
Coursework Average
92%
Industry Collaboration
Mitacs • NovAtel
Teaching
Fanshawe • Western
Focus Areas
Cybersecurity • GNSS

About

Quick intro + what I do
Background

PhD Candidate in Computer Science at Western University (2021–Present). Initially admitted to the Master’s program and later promoted to the fast-track PhD. Previously completed BSc in CSE at Patuakhali Science and Technology University with CGPA 3.826/4.00 (ranked 1st).

What I’m working on

ML/DL/LLM-driven cyber threat detection and explainability, plus PPP-RTK techniques for Android platforms through a Mitacs–NovAtel collaboration.

Research

Interests + current directions
Research Interests
  • Cybersecurity: DDoS, Android malware, intrusion detection
  • Explainable AI (XAI) for model transparency
  • Federated learning for resilient security analytics
  • PPP-RTK / high-precision positioning on Android
  • ML/DL/LLM methods for threat detection and analysis
Current Collaboration

Mitacs Accelerate Research Assistant (Sep 2024 – Sep 2025): working with NovAtel Inc. and Western University to develop a novel PPP-RTK technique for Android platforms.

Publications

Selected ( For full list: ResearchGate • Google Scholar )
Deciphering Model Decisions in Android Malware Detection with Explainable AI
Moinul I. Sayed, Amreen Anbar, Sajal Saha, Anwar Haque • IEEE ISNCC 2025
XAIAndroid MalwareML
Resilient Federated Learning for DDoS Detection with Multi-Krum Aggregation and Anomaly Detection
Sajal Saha, Moinul I. Sayed, et al. • IEEE SmartNets 2025
Federated LearningDDoSRobustness
Classification of DDoS Attack with Machine Learning Architectures and Exploratory Analysis
Amreen Anbar, Moinul I. Sayed, Anwar Haque • IEEE TCCN (Submitted)
DDoSMLTraffic Analysis
A Real-time Vehicle–Pedestrian Collision Avoidance System Exploiting Lightweight Smartphone App
Moinul I. Sayed, Anwar Haque • IEEE VTC 2023 (Fall)
Mobile CPSSafetyReal-time
Deep Learning Based Malapps Detection in Android Powered Mobile Cyber-Physical System
Moinul I. Sayed, Sajal Saha, Anwar Haque • IEEE ICNC 2023
Deep LearningAndroidSecurity

Teaching

Courses + roles
Faculty Member (Part-Time), Fanshawe College — School of IT
Jan 2024 – Present

Courses Taught:

  • INFO6124 Android Application Development 1
  • INFO6127 Enterprise Tech for Mobile Platforms
  • INFO3140 Object Oriented Analysis & Modeling
  • INFO3135 Data Structures and Algorithms
  • INFO3136 Mobile Development
  • FINA6036 Mobile and Web Applications

Curriculum & Course Development:

  • INFO3140 Object Oriented Analysis & Modeling
  • INFO3135 Data Structures and Algorithms
  • FINA6036 Mobile and Web Applications

Teaching Assistant, Western University — Department of Computer Science
Jan 2021 – Present

Assignments/exams/office hours:

  • CS4411 Databases II
  • CS3305 Operating Systems
  • CS2214 Discrete Structures for Computing
  • CS2212 Introduction to Software Engineering

Tutorials & Classes:

  • CS3305 Operating Systems
  • CS2214 Discrete Structures for Computing

Faculty Member (Study Leave), Patuakhali Science and Technology University
Aug 2015 – Present

Courses Taught:

  • Programming Language
  • Artificial Intelligence
  • Operating Systems
  • Computer Networks
  • Compiler Design
  • Web Programming

Also supervised projects, involved in outcome based curricullum development, and extra-curricular activities.

Adjunct Faculty, Global University Bangladesh — Department of Computer Science & Engineering
Jan 2016 – Aug 2019

Courses Taught:

  • Operating Systems
  • Computer Networks
  • Numerical Methods
  • System Analysis and Design

Lecturer, Dhaka International University — Department of Computer Science & Engineering
Jan 2015 – Jul 2015

Courses Taught:

  • Computer Networks
  • Peripheral and Interfacing
  • System Analysis and Design

Projects

Selected systems & implementations
RTK/PPP-RTK Android Positioning

Mitacs–NovAtel collaboration: building PPP-RTK techniques for Android platforms.

Collision Detection System (5G + RTK)

Collision detection system for safe navigation using 5G and Real-Time Kinematic positioning (2022).

RTK-Assisted Smart Parking Management

Smart parking management using RTK positioning (2022).

Online Payroll System

Developed online payroll application for PSTU (2018).

Awards & Honors

Selected recognitions
  • UWORCS 2023 — Second Place (Western University)
  • UWORCS 2022 — First Prize (Western University)
  • Prime Minister’s Gold Medal Award (Bangladesh, 2015)
  • Chancellor’s Gold Medal Award (PSTU, 2015)
  • Dean’s Merit Awards (2013, 2014)

Grants & Funding

  • Mitacs–NovAtel Research Grant — 20K CAD (2024)
  • UWO Mercury Doctoral Funding - 35K (Annually)
  • Ministry of Planning, Bangladesh Research Grant— 0.2M BDT (2018, PI)

Reviewer Appointments

  • Conferences: IEEE GLOBECOM, ICC, ISCC, WiMob
  • Journals: Vehicular Communications, Engineering Applications of AI, Computer Networks

Featured Videos

Lectures & talks
YouTube video thumbnail ▶
Talk: Real-time Vehicle-Pedestrian Collision Avoidance System
YouTube video thumbnail ▶
Talk: Deciphering Model Decisions in Android Malware Detection with Explainable AI
YouTube video thumbnail ▶
Demo Class: Unit Test And Operator Overloading in C++

Contact

Best ways to reach me
Email

msayed6@uwo.ca

Links

LinkedIn • ResearchGate • Google Scholar • ORCiD

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