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: Paused to complete group’s paper

Lectures: Prepare for Deep Learning course presentation as well as midterm examination.

This Week Todo's

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

Project Progress

Anti-Drone System

Last Week's Project

i Studied the mechanism for integrating drone detection technique and tracking technique in python

ii Continued literature surveys on vision-based UAV datasets

ii. Continued studying on DL models used in computer vision

This Week's Project

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

ii. Complete chapter 2 of group’s article

iii. Continue studying on DL models used in computer vision

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

vi. Submission of article 2 for possible publication (Achieved)

vii. Implement tracking algorithms in python effectively

Annual Goals

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

ii. Become an AI expert