Title 1: ASR-FED: Agnostic Straggler Resilient Federated Algorithm for Drone Networks Security (Accepted)
Target: INFOCOM 2024
Title 2: Securing Critical Infrastructure: A Denoising Data-Driven Approach for Intrusion Detection in ICS
Network (Co-worked with Ursla) (Accepted)
Target: ICAIIC 2024
Title 3: Airspace Security: Challenges and Innovations in Drone Technology for Transportation, Military and
Industrial Applications. A Brief Review (Accepted)
Target: KICS Winter 2024
Title 4: ASR-Fed: Agnostic Straggler-Resilient Semi-Asynchronous Federated Learning Technique for Secured
Drone Network
Target: International Journal of Machine Learning and Cybernetics (Major Revision)
Title 5: RF-RSCV: Robust Security Framework Against Intrusions in Internet of Drone Communication Networks
Target: Journal of Communications and Networks (Major Revision)
Title 6: AdaFed: Adaptive Client Selection Algorithm to Mitigate Straggler Effect in Federated Learning for Secured Drone Network
Target: ICMIC 2024
Title 7: FedQuan: A Secure Collaborative Cyber Defense Framework for IoMT Based on Quantum and Federated Learning
Targets: 2024 KICS Summer and IEEE Journal of biomedical and health informatics (Tentative)
Title 4: Under Review
Title 5: Under Review
Title 6: Completed paper writing and awaiting professor’s approval for submission
Title 7: Worked on Model Architecture and Simulations
Title 1: Design presentation slides
Title 4: Under Review
Title 5: Under review
Title 6: Still awaiting professor’s approval for submission
Title 7: Complete and submit paper after professor’s approval
AI in Service Drive for Automotive Retail Dealership
1. Submitted projects work and awaiting new directives from the company
1. Still awaiting directives from the company
1. Completion and submission of Paper 6 and 7 (80%)
2. Submission of Paper 7 to target journal (20%)
3. Design the system model for Paper 6 and commence with simulation experiments (20%)
4. Practical understanding of ML model deployment (40%)
1. 2 Q1 journal publications
2. Attendance to both international and domestic conferences
3. ML/DL Deployment
4. Practical understanding and implementation of quantum computing in MATLAB and IBM environments