Paper 1: Deep-Block: Blockchain-assisted Secure and Energy Efficient UAV-BS Deployment Using Deep Learning (Target: IEEE Transaction on Vehicular Technology)
Paper 2: Meta-Learning: A Secure Distance Learning Approach Based on Metaverse Platform Using Blockchain Technology [Winter Intensive] (Target: IEEE Transactions on Learning Technologies)
Paper 3: Energy-Efficient Multidimensional Path-Planning of UAV for Distributed IoT Networks With Reinforcement Learning (Target: KICS Winter 2023)
Paper 4: SUPER-Meta: A Sophisticated User Privacy-based Extended Reality Devices for the Metaverse-based Online Learning (Target: IEEE MetaCom/ IEEE ICC 2023)
Collaboration work-in-progress (WoP)
Paper 5: A Metaverse Approach: Web Inside of Web (Target: IEEE Network Special Issue) [Submitted]
Paper 5: Metaverse Integrated Autonomous Vehicular Systems (Target: IEEE Industrial Informatics) [Working in Progress (WoP) with Tuli]
Paper 1:
* Complete the simulation task on deep learning-based energy consumption prediction
* Continue the paper writing (Performance evaluation part)
Paper 2:
* Started working on the review comments
* Survey some related papers for updating the existing related works
Paper 1:
* Continue the paper writing task (finish the performance evaluation part)
* Double-check the other section after finishing the result analysis
Paper 2:
* Continue the review comments work
* Add more implementation results as per reviewers' suggestion
Black Ice Detection
* Collect more datasets and prepare the audio recording collection program
* Start labeling the dataset from our own testbed site
* Start working on the audio data pre-processing using TensorFlow
* Continue image dataset labeling
* Complete the implementation work of my own Journal paper (Elsevier IoT)
* Finish working on the winter intensive review comments and resubmit again
* Finish the conference paper for JCCI
* Start a new survey work on Quantum Computing based on AI, Blockchain, and Metaverse
* Get accepted at least one SCI journal and submit as many as possible
* Attend as many competitive international conferences
* Make sure to learn and gain depth knowledge about AI, Digital-Twin, and MetaVerse