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) [Accepted]

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)

Paper 5: Blockchain Inspired Intruder UAV Localization Using Lightweight CNN for Internet of Battlefield Things (Target: MILCOM 2022)

Last Week's Progress

Paper 5:
* Worked on the simulation of the user authentication process
* Implemented the PoW consensus on blockchain
* Continued writing the paper

This Week Todo's

Paper 5:
* Complete the user authentication process
* Finish implementing the consensus
* Finish the System Model and Performance Evaluation part writing

Project Progress

Anti-Drone System

Last Week's Project

* Worked on the final project report and as the project is finish
* Start working on another project survey for further studies

This Week's Project

* Create ppt file for the final project report for Anti-Drone project
* Submit the final report to prof Lee

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