Report

Golamnsl

April 26, 2022 - May 2, 2022

Papers

Paper 1: Deep-Block: Blockchain-assisted Secure and Energy Efficient UAV-BS Deployment Using Deep Learning (Target: IEEE Transaction on Vehicular Technology)

Paper 2: Anti-Drone Design Techniques and Technology: Challenges, Oppurtunities, and Future Directions (Target: IEEE Journal on Selected Areas in Communications)

Paper 3: IoMT-Net: Blockchain Integrated Unauthorized UAV Localization Using Lightweight Convolution Neural Network for Internet of Military Things. (Submitted to: IoT Journal) [Revision (with Dr. Rubina)]

Paper 4: Deep Learning in Anti-Drone: Review on Drone Identification, Classification and Localization Based on Deep Learning (Target Journal: IEEE Journal on Selected Areas in Communications)

50% Progress
Last Week's Progress

Paper 1:
* Completed the paper (writing, fine-tuning, cross check, etc)


Paper 2:
* Surveyed on the acoustic based drone detection and neutralization
* Created the comparative studies with vision and RF and write down on the paper

This Week Todo's

Paper 1:
* Show it to the professor and submit it after getting approval


Paper 2:
* Continue the survey work on acoustic based Anti-Drone system
* Keep writing the acoustic based Anti-Drone techniques part for the survey paper.

Project Progress

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

50% Progress
Last Week's Project

Project 1:
* Created ppt for the project progress presentation to professor Lee
* Continue the Survey paper writing on Anti-Drone system

Ptoject 2:
* No task as the project is finished

This Week's Project

Project 1:
* Continue the Survey paper writing on Anti-Drone system
* Make another ppt for progress report

Monthly Goals

* Finish the remaining papers to submit on the journal
* Start working on the upcoming conference paper

Annual Goals

* Get accepted at least two SCI journal and submit as many as possible

* Attend as many competetive international conferences

* Make sure to learn aand gain depth knowledge about the anti-drone system