Paper 1: Real-Time Drone Detection Scheme Using Deep Learning from Thermal Sensors Data to Prevent the Threat of UAV to Nuclear Facilities, (Target: IEEE Wireless Communication Letters)
Paper 2: Anti-Drone Design Techniques and Technology: A Survey (Target: IEEE Access/ IEEE 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]
Paper 4: Comparative Performance Evaluation of Enhanced-OLSR with Topology-based Routing Protocols for UANET (Submitted to: MDPI Drones Specal Issue) [Major Revision]
Paper 5: 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 3:
* Complete the revision based on reviewers comment
* Cheked again on the correction of grammar and typos
Paper 4:
* Worked on the preparing of the final manuscript
Paper 3:
* Finalize the revision and submit it
* Before submitting fine-tune again and show to professors
Paper 4:
* Prepare the final version of the manuscript and submit it for publication
Development of UAV routing protocol for civil and military, Anti-Drone project
Project 1:
* Get the decision of acceptance from the MDPI Drones special issue
* Started preparing the final version
Project 2:
* No task assigned
Project 1:
* Submit the final version of the manuscript
Project 2:
* No required task
* Working on the survey paper
* Complete the revision from the IoT journal and submit it before deadline
* Start working on the winter intensive and finish the KICS 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