Paper 1: ASR-Fed: Agnostic Straggler-Resilient Semi-Asynchronous Federated Learning Technique for Secured
Drone Network
Target: IEEE Transactions on Network and Service Management (Under Review)
Paper 2: Enhanced Deep Learning Scheme Based On PANet for Real-Time Detection of Tomato Diseases
Target: IEEE Intelligent Systems (Under Review)
Paper 3: Vision-Based Framework for Aerial Recognition of Drones and Birds in Ground-to-Air Networks
Target: Internet of Things (Under Review)
Paper 4: RF-RSCV: Robust Security Framework Against Intrusions in Internet of Drone Communication
Networks
Target: Journal of Communications and Networks (Awaiting Reviewers' Assignment)
Paper 5: Federated Learning with Differential Privacy for Intrusion Detection in Internet of Flying
Things: A Robust Approach
Target: ICTC 2023 (Accepted)
Paper 1: Awaiting review comments
Paper 2: Awaiting review comments
Paper 3: Awaiting review comments
Paper 4: Awaiting assignment
Paper 5: Attended and presented at the conference
Paper 1: Awaiting review comments
Paper 2: Awaiting review comments
Paper 3: Awaiting review comments
Paper 4: Awaiting reviewers' assignment
AI in Service Drive for Automotive Retail Dealerships
1. Concluded with exploratory data analysis and model building
2. Finalized the selection of prominent features for the predictive maintenance task
1. Design of the system model
2. Creation of the target class based on the relationship of the selected features
3. Train and evaluate the performances of some ML models
Project
1. Conclude with exploratory data analysis and model building
2. Finalize the system design
3. Design a high-performing predictive maintenance model
Research-Area
1. Acquire in-depth knowledge about my target domain
2. Understand the test-bed of available datasets, essential for conceptualizing the system models
3. Continue study on the optimization of GAN and FL models
1. Submission of 2 journal papers
2. Attendance at both domestic and international conferences as approved by my supervisor
3. In-depth knowledge of research area