Papers

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: Privacy-preserving Federated learning for Secure Internet of Medical Things (Winter Intensive,
Tentative)
Target: IEEE Journal of biomedical and health informatics (Tentative)

Last Week's Progress

Title 4: Awaiting decision

Title 5: Completed and resubmitted the manuscript

Title 6: Concluded with simulation experiments and paper introduction

Title 7: Began literature surveys

Lectures:
1. Commenced simulations on quantum computing

This Week Todo's

Title 4: Awaiting decision

Title 5: Under review

Title 6: i. Complete paper writing
ii. Run grammar and plagiarism checks

Title 7: Continue literature surveys

Project Progress

AI in Service Drive for Automotive Retail Dealership

Last Week's Project

i. Researched on Amazon Kinesis and AWS Lambda architecture

ii. Application of an ML pipeline in the cloud

This Week's Project

i. Finalize and submit project's paper

ii. Awaiting directives from the company

Monthly Goals

1. Resubmission of Paper 5 for possible publication (Done)

2. Design the system model for Paper 6 and commence with simulation experiments (20%)

3. Practical understanding of ML model deployment (40%)

Annual Goals

1. 2 Q1 journal publications

2. Attendance to both international and domestic conferences

3. ML/DL Deployment