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: Privacy-preserving Federated learning for Secure Internet of Medical Things (Winter Intensive,
Tentative)
Target: IEEE Journal of biomedical and health informatics (Tentative)
Title 4: Awaiting decision
Title 5: Completed paper writing and sent to a senior colleague for review
Title 6: Paused paper writing
Title 4: Awaiting decision
Title 5: Run plagiarism and grammar checks.
Complete answers to reviewers' comments
Submit revised manuscript
AI in Service Drive for Automotive Retail Dealership
i. Researched on AWS tools for real-time data processing
ii. Delved into Amazon Kinesis and AWS Lambda architecture
iii. Concluded with the project's paper
i. Continue on the research on Amazon Kinesis and AWS Lambda architecture
ii. Application of an ML pipeline in the cloud
1. Resubmission of Paper 5 for possible publication
2. Design the system model for Paper 6 and commence with simulation experiments
3. Practical understanding of ML model deployment
1. 2 Q1 journal publications
2. Attendance to both international and domestic conferences
3. ML/DL Deployment