Iqra Batool

Iqra Batool

Ph.D. Candidate in Computer Science

Advancing next-generation wireless networks through AI-driven research in 5G/6G, IoT systems, Machine Learning and Quantum Computing. Published researcher with 6+ years of expertise bridging academic innovation and industry applications.

About Me

I am a passionate researcher and educator dedicated to shaping the future of wireless communication through artificial intelligence and innovation. Currently pursuing my Ph.D. at Western University, I focus on developing intelligent, adaptive solutions for next-generation 5G/6G networks that will transform how we connect, communicate, and interact in an increasingly digital world.

My research bridges the gap between theoretical advancement and practical implementation, leveraging deep reinforcement learning, quantum computing, and privacy-preserving techniques to solve real-world challenges in IoT systems, vehicular networks, and ultra-low latency applications.

Beyond research, I am committed to nurturing the next generation of technology leaders through teaching and mentorship, having guided 35+ students in their academic and professional journeys. My work has been recognized through multiple scholarships, publications in top-tier venues, and invitations to serve as a reviewer for premier IEEE journals.

25+
Publications
8+
Journal Papers
6+
Years Experience
35+
Students Mentored
4+
IEEE Journals Reviewed
6+
Conference Presentations

Research Philosophy

🎯

Innovation

Pushing boundaries in AI-driven network optimization and quantum computing applications

🀝

Collaboration

Working with leading researchers globally to advance wireless communication technologies

🌍

Impact

Creating solutions that address real-world challenges in IoT, smart cities, and connected systems

Research Focus

My research centers on developing intelligent, adaptive solutions for next-generation wireless communication systems. I specialize in leveraging deep reinforcement learning, quantum computing, and privacy-preserving techniques to optimize resource allocation in 5G/6G networks, with particular emphasis on IoT, vehicular networks, and ultra-low latency applications.

Research Areas

5G/6G Networks IoT & Edge Computing Machine Learning Deep Reinforcement Learning Quantum Computing Network Security

Programming

Python Java C/C++ SQL JavaScript MATLAB

Frameworks & Tools

TensorFlow PyTorch NS-3 Sionna AWS LaTeX D-Wave IBM Quantum Experience Qiskit Ocean SDK

Networking

5G/6G Protocols VPN DNS IoT Architectures Wireshark

Publications

Experience

Academic Experience

Lecturer & Ph.D. Researcher
Western University, London, ON
Dec 2023 – Present
  • Leading research in 5G & 6G wireless communication systems
  • Designed and taught courses: Java and Python Programming, Software Engineering, Web Development
  • Mentored 15+ graduate students on projects in web development and AI-driven network management
  • Published 4 papers in Elsevier and IEEE journals (peer-reviewed)
Lecturer
Fatima Jinnah Women University, Pakistan
Mar 2019 – Sep 2022
  • Revamped curriculum for Software Engineering programs, boosting student placements by 35%
  • Supervised 20+ projects on IoT applications and fault-tolerant systems

Industry Experience

Software Developer
Free Balance, Pakistan
Mar 2017 – Mar 2019
  • Built scalable web applications using ASP.NET and AngularJS
  • Improved server response time by 40%
  • Optimized SQL databases for enterprise clients, enhancing query efficiency by 30%
Web Developer
Army Welfare Trust, Pakistan
Feb 2015 – Jan 2017
  • Developed responsive websites using HTML5/CSS3/JavaScript
  • Increased user engagement by 25%

Research Team & Collaborators

Building the future of wireless networks through global collaboration with leading researchers and institutions worldwide

🌟 Principal Investigator

Iqra Batool

Iqra Batool

Ph.D. Candidate

Western University, London, ON

Lead Researcher

🀝 Supervisors & Collaborators

Dr. Zubair Md Fadlullah

Dr. Zubair Md Fadlullah

Western University πŸ‡¨πŸ‡¦

AI-native networks, quantum computing

Ph.D. Supervisor
Dr. Mostafa M. Fouda

Dr. Mostafa M. Fouda

Idaho State University πŸ‡ΊπŸ‡Έ

6G networks, IoT, deep RL

Ph.D. Supervisor
Gad Gad

Gad Gad

Western University πŸ‡¨πŸ‡¦

6G networks, IoT, Federated Learning, Wifi Sensing

Collaborator
Dr. Muhammad Ismail

Dr. Muhammad Ismail

Tennessee Tech University πŸ‡ΊπŸ‡Έ

Vehicular networks, spectrum allocation

Collaborator
Prof. Nei Kato

Prof. Nei Kato

Tohoku University πŸ‡―πŸ‡΅

IEEE Fellow, 5G/6G network intelligence

International Collaborator
Dr. Khaled Rabie

Dr. Khaled Rabie

King Fahad University for Petroleum and Minerals (KFUPM)πŸ‡ΈπŸ‡¦

Wireless communications, IoT systems

Collaborator
Dr. Mohamed I. Ibrahem

Dr. Mohamed I. Ibrahem

Uni of Central Florida πŸ‡ΊπŸ‡Έ

Resource allocation, network optimization

Collaborator

🀝 Open to Collaboration

I am always excited to explore new research opportunities and collaborations. If you're interested in working together on 5G/6G networks, AI-driven optimization, quantum computing applications, or related areas, please reach out!

Teaching & Courses

Passionate about education and mentoring the next generation of technology leaders through innovative teaching methods and hands-on learning experiences

CS 1027

Java Programming

Introduction to object-oriented programming concepts, data structures, and algorithm development using Java. Focus on practical problem-solving and software design principles.

πŸ“š Topics: OOP, Data Structures, Algorithms
CS 1037

Computer Science Fundamentals

Core principles of computer science including logic, problem-solving, computational thinking, and foundational programming concepts for aspiring computer scientists.

πŸ“š Topics: Logic, Problem-solving, Programming
CS 3550

Computer Organization

Understanding computer architecture, processor design, memory hierarchy, and system-level programming. Bridges hardware and software concepts.

πŸ“š Topics: Architecture, Processors, Memory Systems
CSC-711

Advanced Artificial Intelligence

Graduate-level exploration of AI techniques including machine learning, deep learning, neural networks, and intelligent agents. Focus on cutting-edge research and applications.

πŸ“š Topics: ML, Deep Learning, Neural Networks
SCS 211

Data Structures and Algorithms

Comprehensive study of fundamental data structures and algorithmic techniques. Emphasis on complexity analysis, optimization, and practical implementation.

πŸ“š Topics: Trees, Graphs, Sorting, Searching
CSC-222

Data Communication and Networking

Network protocols, architectures, and communication systems. Covers OSI model, TCP/IP, routing, and modern networking technologies.

πŸ“š Topics: Protocols, TCP/IP, Network Security
EET-455

Wireless Communications

Advanced wireless communication systems, modulation techniques, channel modeling, and 5G/6G technologies. Integration of theory with practical applications.

πŸ“š Topics: 5G/6G, Modulation, Channel Modeling

πŸŽ“ Teaching Philosophy

I believe in bridging theory and practice, fostering critical thinking, and creating inclusive learning environments where students feel empowered to explore, innovate, and excel. Through mentorship of 35+ students and curriculum development, I strive to prepare the next generation for the challenges and opportunities in technology.

Awards & Recognition

πŸ† Honors & Recognition

πŸŽ“

Full Ph.D. Scholarship

Western University, Canada

Full funding for doctoral research in 5G/6G networks and AI (2023-2026)

πŸ₯‡

Gold Medal Award

M.Sc. Software Engineering

Highest academic achievement in Master's program, Bahria University

🌟

High Achiever Scholarship

M.Sc. Program

Awarded for exceptional academic performance and research excellence

⭐

Merit-Based Scholarship

B.Sc. Computer Science

Undergraduate merit scholarship for outstanding academic achievement

πŸ†

Best Paper Award

IEEE WINCOM Conference 2025

Recognized for outstanding research contribution in wireless networks and mobile communications

Professional Service & Recognition

πŸ“ Peer Reviewer for Leading IEEE Journals

IEEE Internet of Things Journal

Impact Factor: 10.6 | Top-tier IoT research

IEEE Transactions on Wireless Communications

Impact Factor: 10.4 | Premier wireless communications venue

IEEE Transactions on Vehicular Technology

Impact Factor: 6.8 | Leading vehicular technology journal

IEEE Network Magazine

Impact Factor: 9.3 | Premier networking magazine

🎀

Conference Presenter

IEEE SmartNet (2024) - USA

Presented research on deep learning-based throughput prediction

🎀

Conference Presenter

IEEE ICC (2025) - Canada

Presenting adaptive resource allocation research

πŸ‘©β€πŸ’»

Professional Memberships

IEEE, Women in Engineering (WIE)

Active member contributing to technical communities

Education

Ph.D. in Computer Science
Western University, London, ON
Expected 2026

Thesis: AI Driven Resource Allocation in Next Generation Networks

M.Sc. in Software Engineering
Bahria University, Islamabad
2021

Thesis: Software Fault Prediction Using Machine Learning & Deep Learning Models

B.Sc. in Computer Science
University of Azad Jammu and Kashmir
2014

Get In Touch

Interested in collaboration, research opportunities, or discussing 5G/6G innovations? I'd love to connect!

πŸ“§ ibatool2@uwo.ca
πŸ“ž +1 000000
πŸ“ London, Ontario, Canada