Paper 1: Deep-Block: Blockchain-assisted Secure and Energy Efficient UAV-BS Deployment Using Deep Learning (Target: IEEE Transaction on Vehicular Technology)
Paper 2: Blockchain Inspired Intruder UAV Localization Using Lightweight CNN for Internet of Battlefield Things (Target: MILCOM 2022 [Accepted])
Paper 3: Lightweight Blockchain Assisted Unauthorized UAV Access Prevention in the Internet of Military Things (Target: ICTC 2022 [Accepted])
Paper 4: A Metaverse Approach: Web Inside of Web (Target: IEEE Network Special Issue) [Working with Tuli]
Paper 5: Metaverse Integrated Autonomous Vehicular Systems (Target: IEEE Industrial Informatices) [Working with Tuli]
Paper 1:
* Continued the LSTM simulation task for battery life-time prediction
* Did the correction of the paper based on the previous review comments
Paper 4:
* Finish the blockchain system design integration in metaverse
* Completed the Blockchain writing parts
Paper 1:
* Keep working on the LSTM prediction model
* Continue the paper writing task and fine-tuning task
Paper 4:
* Finish the Introduction part and fine tune the paper for final version
* Find a suitable journals basedon professor's suggestion and submit the paper
Black Ice Detection
* Continued working on the dataset labeling and pre-processing task
* Attended the project meeting with prof Lee and prof Jung-Heyon Kim
* Started working on the model development
* Finish the dataset labelling for the pubin dataset-1 and pre-processing task
* Attend another project progress meeting wirh all members and new-comer (Ayesha) to brief about project
* Continue working on the model development
* Make the ppt file for ICTC and submit the final video for presentation
* Complete the review comments corrections and submit the final manuscript of MILCOM
* Finish the Journal paper working with Tuli and submit it by this month
* Finish the implementation work of my own Journal paper
* Get accepted at least two SCI journal and submit as many as possible
* Attend as many competetive international conferences
* Make sure to learn and gain depth knowledge about the AI, Digital-Twin, and MetaVerse