Papers

Paper 1: Energy Efficient UAV Deployment with Optimized Path-Planning in Post-Disaster Environment' (ICTC Conference 2021 [Presented]).

Paper 2: Real-Time Drone Detection Scheme Using Deep Learning from Thermal Sensors Data to Prevent the Threat of UAV to Nuclear Facilities, (Target: IEEE Wireless Communication Letters).

Paper 3: Deep-Block: Blockchain-assisted Energy Efficient UAV Base StationDeployment Using Deep Neural Network (Target: ICT Express)

Last Week's Progress

Paper 3:
* Completed the user authentication implementation process
* Continued the energy consumption prediction simulation


Paper 2:
* Started the simulation on Yolo v5 with the remained dataset
* Test the connection of the HDMI device to collect the thermal dataset from the FLIR camera (wait until next week to be able to collect the dataset)

This Week Todo's

Paper 3:
* Complete the energy consumption prediction simulation
* Write down the performance evaluation part
* Start writing the introduction part

Project Progress

Development of UAV routing protocol for civil and military, Anti-drone project

Last Week's Project

Project 1:
* Survey the FANET routing protocol implementation on the military network


Project 2:
* Continue the CNN algorithm development for object detection
* Worked on the installation of CUDA and open CV for Yolo v3

This Week's Project

Project 2:
* Keep working on the CNN based object detection algorithm
* Continue the installation of CUDA and open CV

Monthly Goals

1. Finish the simulation of the ICTC extended paper. Complete the paper for the ICTC extended version for the journal submission.


2. Complete the paper for the ICTC extended version for the journal submission.

Annual Goals

* Submit at least two Journal in one year

* Attend one International Conference

* Make sure to learn as many simulation tools as possible