Papers

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)

Last Week's Progress

Paper 1: Awaiting review comments
Paper 2: Awaiting review comments
Paper 3: Awaiting review comments
Paper 4: Awaiting assignment
Paper 5: Completed presentation slides and other logistics

Tentative Research Area (Security for Internet of Military Things (IoMT))
1. Background research on current literature
2. Researched on the availability of military datasets for academic research

This Week Todo's

Paper 1: Awaiting review comments
Paper 2: Awaiting review comments
Paper 3: Awaiting review comments
Paper 4: Awaiting assignment
Paper 5: Prepare for the conference


Tentative Research Area (Security for Internet of Military Things (IoMT))
1. Continue with background research
2. Highlights the problems, tools, and techniques to propose security solutions

Project Progress

AI for Service Drive

Last Week's Project

1. Surveyed extant literature
2. Presented project progress during creative capstone class

This Week's Project

1. Conceptualize an AI-predictive model design for car dealerships
2. Train and test some ML & DL models for the predictive tasks

Monthly Goals

Project
1. Conclude with exploratory data analysis and model building
2. Carry out background surveys on car predictive maintenance tasks
3. Design a high-performing predictive maintenance model

Research-Area
1. Acquire in-depth knowledge about my target domain (Military informatics)
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

Annual Goals

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