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 (Submitted)

Last Week's Progress

Title 2: Under review

Title 3: Still enhancing paper based on reviewers’ recommendations.

Title 6: Paused paper revision until next week

Title 7: Prepare presentation slides

Title 8: Working on review comments received from senior colleagues

Lectures:
i. Completed R installation and commenced working with it for big data analysis

ii. Attended lectures and responded to assignments

This Week Todo's

Title 2: Under review

Title 3: Still enhancing paper based on reviewers’ recommendations.

Title 6: Paused paper revision until after graduation exam

Title 8: Submitted article for possible publication

Project Progress

Anti- Drone Project

Last Week's Project

i. Began studying Radar and Sniffing technologies for drone detections.

ii. Surveyed papers to gather knowledge on hybrid techniques for robust drone detection

iii. Attended tasks assigned to me by the project leader

This Week's Project

i. Continue studying Radar and Sniffing technologies for drone detections.

ii. Gather dataset for simulation experiment

Monthly Goals

i.Complete and submit summer intensive paper for possible publication (achieved)

ii. Effect changes and improve Title 7 for resubmission (40%)

iii. Acquire in-depth knowledge of the various ML and DL algorithms (85% progress)

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

v. Begin and excel on the journey to R programming (10%)

vi. Successfully write my graduation exams

Annual Goals

i. Submission of at least 3 journals (2 achieved)

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