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)

Last Week's Progress

Paper 2:
* Studies about the Anti-Drone implemented companies and survey reports
* Try find out a comparative reserach on Anti-Drone based implementation companies for the survey paper

This Week Todo's

Paper 2:
* Survey on the UAV based incidents and make the survey report for the paper
* Study the compariosn between RF based and Vision based solutions


Paper 3:
* Still under review on IoT journal
* Working on the extraction for a working progress version to submit in MILCOM

Project Progress

Anti-Drone project

Last Week's Project

* Created the ppt progress report for the project
* Last week presented the ppt report in Capstone Design

This Week's Project

* Make another ppt presentation for project report
* Survey papers for the Ant-Drone literature survey

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