Papers

Title 2: Enhanced Deep Learning Scheme Based On PANet for Real-Time Detection of Tomato
Diseases.
Target: IEEE Intelligent Systems (Under Review)

Title 3: Hierarchical Intrusion Detection System for Secured Military Drone Network: A Perspicacious
Approach
Target: MILCOM 2022 (Accepted)

Title 4: VisioNET Dataset: An Aerial Dataset for Scenario-Based Multi-Drone Detection and Identification
Research (Anti-drone project)
Target: IEEE Transactions on Aerospace and Electronic Systems

Title 5: Scalable Out-of-Core Learning Model for Intrusion Detection System on the Internet of Drones
Target: KICS Summer 2022 (Accepted)

Title 6: Scale Variant Framework for Aerial Recognition of Drones and Birds in Ground-to-Air Networks
Target: IET Computer Vision (Rejected)

Title 7: Cyber Edge Intelligent Intrusion Detection Framework For UAV Network Based on Random Forest
Algorithm
Target: ICTC 2022 (Accepted)

Title 8: Efficient Intrusion Detection Model for Securing the Communication Links of Internet of Drone Network (Summer Intensive)
Target: IEEE Internet of Things / Journal of Computer Network

Last Week's Progress

Title 2: Under review

Title 3: Paper accepted with some review comments

Title 6: Paused to complete and submit summer intensive.

Title 7: Uploaded camera-ready copy

Title 8: Complete and submit the article to the committee

Lectures:
i. Get started with R programming for big data analysis

This Week Todo's

Title 2: Under review

Title 3: Working on review comments while preparing for the conference.

Title 6: Improve paper based on review comments received and submit to another journal.

Title 7: Prepare presentation slides

Title 8: Completed paper

Lectures:
i. Install and start learning the R environments

Project Progress

Anti-Drone System

Last Week's Project

i. Officially discontinued research on WQMS following Professor’s instructions

This Week's Project

i. Brainstorm with team members on the roadmap of anti-drone project
ii. Have meetings with professor on the new direction of the project

Monthly Goals

i. Complete and submit summer intensive paper for possible publication

ii. Effect changes and improve Title 7 for resubmission

iii. Acquire in-depth knowledge of the various ML and DL algorithms (75% progress)

iv. Become proficient in the use of OpenCV for object detection and tracking in real-time (40% progress)

v. Begin the journey to R programming

Annual Goals

i. Submission of at least 3 journals

ii. Become an AI expert in both ML and DL techniques