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 (Under Review)

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: Tentative (Title 3 extension; Summer Intensive)
Target: IEEE Internet of Things

Last Week's Progress

Title 2: Under review

Title 3: Under review

Title 6: To improve paper content based on the purpose for rejection and submit elsewhere

Title 7: Acceptance received

Tile 8: Concluded simulation experiments and results discussions

iii. Presented the last stage of my 2022 summer intensive progress

This Week Todo's

Title 2: Under review

Title 3: Under review

Title 6: Paused to complete and submit summer intensive.

Title 7: Work on review comments and upload camera-ready copy


Title 8: Complete and submit the article to the committee

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

Project Progress

Water Quality Monitoring System (WQMS)

Last Week's Project

i. Awaiting project proposal outcome

ii. Continue investigation of the various modes of generating and integrating the different sensors’ data

iii. Study more of unique AI applicability on WQMS

This Week's Project

i. Review papers on WQMS

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 journey to R programming

Annual Goals

i. Submission of at least 3 journals

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