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)
Paper 5:
* Worked on the simulation of the user authentication process
* Worked on the new consensus on blockchain
* Continued writing the paper
Paper 5:
* Complete the user authentication process
* Finish implementing the consensus
* Finish the System Model and Performance Evaluation part writing
Water Quality Monitoring
* Survey related papers on the topic of water monitoring system
* Analyzed the code alraedy done by the Alumunai
* Create ppt file for the new project report for water quality monitoring project
* Survey papers related to this topic
* Finish the remaining papers to submit on the journal
* Start working on the upcoming conference paper
* 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