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)

Last Week's Progress

Paper 2:
* Surveyed literature on the UAV based incidents and create the survey table
* Studies on the comparative analysis between RF based and Vision based solutions

Paper 3:
* Accepted
* Contuniued working on the conference version as a WoP for MILCOM

This Week Todo's

Paper 3:
* Accepted waiting for futher process
* Started writing for the conference submission as WoP

Paper 2:
* Continue the survey on comparative analysis for different solution
* keep working on paper writing

Project Progress

Anti-Drone System

Last Week's Project

* Created the ppt file for the Capstone Design
* Survey papers related to Anti-Drone solution

This Week's Project

* Present the project progress to prof Lee
* Continue the literature survey work

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