Name: Njoku, Judith Nkechinyere (20225053)
Date: 2023.10.30
Paper 1: Systematic Review of Digital Twin Applicability to Battery Management Systems: Case Study Approach. --> Leveraging Digital Twin Technology for Battery Management: A Case Study review
Target: IEEE Transactions on Intelligent Transportation Systems (Major revision) .
Paper 2: SpeakChain: Blockchain and Speaker Verification for Enhanced Security and Accident Adjudication in Autonomous Vehicles.
Target: MDPI Electronics
Paper 3: Building a Metaverse for Transportation Systems: A Brief Review.
Target: ICUFN (Completed).
Paper 4: Model comparison and selection for NMC battery digital twin development using PyBaMM.
Target: JCCI (Completed).
Paper 5: Multi-Feature Concatenation for Speech Dependent Automatic Speaker Identification in Autonomous Vehicles.
Target: ICMIC (Completed).
Paper 6: Real-Time Digital Twin for Battery Management Systems using MATLAB and Unreal Engine.
Target: KICS Summer (Completed)
Paper 7: Metaverse and Digital Twin Assisted Battery Management System.
Target: Applied Soft Computing (Under review).
Paper 8: MetaHate: Text-based Hate Speech Detection for Metaverse Applications using Deep Learning.
Target: ICTC 2023 (Completed)
Paper 9: From Clusters to Conversions: Enhancing Automotive Dealership Performance with Big Data Insights and XAI.
Target: KICS Fall 2023 (Accepted)
Paper 1: Completed paper revision.
Paper 2: preparing review.
Paper 3: Completed.
Paper 4: Completed.
Paper 5: Completed.
Paper 6: Completed.
Paper 7: Under review
Paper 8: Completed
Paper 9: Accepted.
Paper 1: Awaiting reviewers scores.
Paper 2: Preparing review.
Paper 3: Completed
Paper 4: Completed.
Paper 5: Completed.
Paper 6: Completed.
Paper 7: Under review.
Paper 8:Completed
Paper 9: Update camera ready paper
AI for Service Drive
1.Completed KICS paper
2.Conducted Exploratory data analysis on entire dataset, and performed clustering of entire dataset.
3.Generated Monte-Carlo simulated data for experiments.
1.Verify veracity of simulation.
2.Apply Fixed Mixture regression model to simulated data.
1.Complete Preliminary Clustering model for project.
2.Complete Digital Twin for the environment in CARLA.
1.Master Digital Twin development tools.
2.Complete at least Three Journal Papers.
3.Attend at least three Domestic Conference - (1) JCCI2023 (2) KICS Summer 2023
4.Attend at least two International Conferences. (1) ICUFN 2023 (2) ICMIC 2023
5.Build a Digital twin for Battery systems. (Done)
6.Build an ensemble Model for virtual assistants in the Metaverse/Autonomous vehicles. (Done)