Papers

Title 2: UAV Assisted Real-Time Detection and Recognition of Citrus Disease in Smart Farm Using Deep
Learning
Target: Computers and Electronics in Agriculture (Under Review)

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: Real-Time tracking of miniaturize fleet of UAVs Under Stealth Scenario (Tentative )

Title 6: 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

Last Week's Progress

Title 2: Awaiting review comments.

Title 3: Awaiting review comments

Title 5: i. Attend online courses to learn how to detect and track objects in real-time

ii. Embark in more Literature surveys to understand the different tracking techniques and their
applications as well as limitations in near real-time scenarios

iii. Continue studying python coding in OpenCV for real-time applications

Title 6: Gather research works on vision-based UAV datasets and at the same time study the different
datasets available

This Week Todo's

Title 2: Awaiting review comments.

Title 3: Awaiting review comments

Title 5 Continue learning real-time tracking of objects via OpenCV using KCF tracking algorithm

Title 6: Begin Chapter 2 of group’s paper

Project Progress

Anti-Drone System

Last Week's Project

i. Surveyed papers related to UAV detection and tracking in real-time

ii. Gathered published datasets related to UAV vision-based

iii. Continue studying DL models used in computer vision

This Week's Project

i. Complete my part on the group’s paper


ii. Continue studying on real-time object tracking using Python in OpenCV

ii. Prepare ppt for capstone presentation

Monthly Goals

i. Complete and submit group’s dataset article for possible publication

ii. Attend a domestic conference

iii. Attend at least 2 international conferences (1 achieved)

iv. Acquire in-depth knowledge of the various DL algorithms

v. Become proficient in the use of MATLAB for object detection and other machine learning algorithms

vii. Implement tracking algorithms in python effectively

Annual Goals

i. Submission of at least 3 journals (1 achieved)

ii. Become an AI expert