2+
Research Publications
8+
Technical Skills
4+
Networking Tools
AI
Research & Innovation
About Me
Hello! I'm Muhammad Zamad Qureshi, a passionate researcher with strong interests in Artificial Intelligence, Federated Learning, Reinforcement Learning, IoT Security, Network Security and AI-enabled 6G Networks.
My current research focuses on implementing Privacy-Preserving Federated Learning using the Flower Framework for intelligent intrusion detection systems. I enjoy solving real-world cybersecurity challenges through Artificial Intelligence and distributed machine learning.
Alongside my research, I possess practical experience in network simulation, protocol analysis, traffic monitoring and networking tools including OMNeT++, NS3, Cisco Packet Tracer, and Wireshark.
Education
Master of Science (MS) in Information Technology
The Islamia University of Bahawalpur
Specialized in Artificial Intelligence, Machine Learning, Cyber Security, Networking and Research Methodologies.
Bachelor of Science (BS) in Information Technology
Government College University Faisalabad
Built a strong foundation in programming, databases, networking, software engineering, web development, and operating systems.
Research Interests
Machine Learning
Deep Learning
Federated Learning
Reinforcement Learning
AI Network Security
IoT Security
SDN + Satellite + 6G Networks
Flower Framework
Technical Skills
Projects
Privacy-Preserving Federated Learning
Developing an intelligent intrusion detection framework using the Flower Framework for Privacy-Preserving Federated Learning in IoT-enabled environments.
AI-Based Network Security
Research focused on AI-enabled Network Security, Reinforcement Learning, Privacy Preservation and secure communication for future intelligent networks.
Network Simulation & Analysis
Practical experience with OMNeT++, NS3, Cisco Packet Tracer, and Wireshark for network simulation, protocol analysis, and performance evaluation.
Publications
IoT Intrusion Detection with Deep Learning Techniques
Published research focusing on Deep Learning based intrusion detection techniques for Internet of Things environments.
View PublicationRevolutionizing Retail Automation through Human-Object Interaction Detection
Research focused on intelligent retail automation using Artificial Intelligence and Human-Object Interaction Detection.
View PublicationRandom Developer Joke
Click the button to load a random programming joke.