Title 2: UAV Assisted Real-Time Detection and Recognition of Citrus Disease in Smart Farm Using Deep
Learning
Target: IEEE Access
Title 3: Aerial Surveillance and Detection of Drones and Birds; Deploying a Custom CNN model
Target: IEEE Transactions on Vehicular Technology (Under Review)
Title 4: Light-Weight CNN Model for Real-Time Recognition of Miniaturize fleet of UAVs
Target: KICS Winter 2022 (Accepted)
Title 5: Tentative Research topic
Title 2: Extended chapters 3 and 4 of article
Title 3: Awaiting review comments
Title 4: Put a hold on this to complete journal of Title 2
Title 5: Begin paper writing
Title 2: Complete and submit paper to review committee before actual submission
Title 3: Submit paper to workshop review committee
Title 5: Complete chapter one and continue with literature survey
Anti- Drone Detection System
i. Simultaneous studying of Python and MATLAB for computer vision
ii. Hands-on and study on some Machine learning algorithms
i. Complete task on survey assigned to me by group leader
ii. Continue study on Python and MATLAB for computer vision
i. Attend a domestic conference
ii. Attend at least 2 international conferences
iii. Become proficient on the use of MATLAB for object detection and other machine learning algorithms
iv. Submission of article 2
i. Submission of at least 3 journals
ii. Become an AI expert