Name: Njoku, Judith Nkechinyere (20225053)
Date: 2023.06.05
Paper 1: Systematic Review of Digital Twin Applicability to Battery Management Systems: Case Study Approach.
Target: IEEE Transactions on Intelligent Transportation Systems .
Paper 2: Multi-Feature Fusion for Speech Dependent Automatic Speaker Identification in Autonomous Vehicles.
Target: IEEE Transactions on Intelligent Vehicles (Revising).
Paper 3: Building a Metaverse for Transportation Systems: A Brief Review.
Target: ICUFN (Accepted).
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 (Submitted)
Paper 6: Real-Time Digital Twin for Battery Management Systems using MATLAB and Unreal Engine.
Target: KICS Summer (Accepted)
Paper 7: Metaverse and Digital Twin Assisted Battery Management System
Target: Engineering Applications of Artificial Intelligence
Paper 1: Awaiting reviewers’ decision.
Paper 2: Completed simulation and generation of results. Updated paper title
Paper 3: Visa issued.
Paper 4: Completed.
Paper 5: Updated paper and submitted.
Paper 6: Completed and submitted KICS draft.
Paper 7: Writing paper introduction and methodology and concurrently generating results
Paper 1: Awaiting reviewers’ decision.
Paper 2: Continue working on baseline models. Developing novel weighted average ensemble approach based on Sigmoid scaling.
Paper 3: Prepare conference poster.
Paper 4: Completed.
Paper 5: Awaiting feedback.
Paper 6: Revise paper and resubmit.
Paper 7: Update paper methodology.
Metaverse and Digital Twin Assisted Battery Pack Management
1.Completed multiple battery simulation and multiple shared memory file in Simulink.
2.Merging all blueprints together into one packaged program.
3.Continuous guidance of project members.
1.Continue working on merging all solutions into one package.
2.Complete project final report and documentation.
3.Update state estimation algorithm for digital battery.
1.Complete Summer intensive paper.
2.Complete review to rejected paper.
3.Study Unreal Engine course.
4.Complete ICUFN conference preparations.
1.Master Digital Twin development tools.
2.Complete at least Three Journal Papers.
3.Attend at least three Domestic Conference - (1) JCCI2023
4.Attend at least two International Conferences.
5.Build a Digital twin for Battery systems.
6.Build an ensemble Model for virtual assistants in the Metaverse/Autonomous vehicles.
2023 Goals Achieved
Domestic Conference
1.JCCI 2023
2022 Goals Achieved
International Journal
1.IET Intelligent Transportation Systems Journal (Volume 17, Issue 1, January 2023)
International Conference
1.ICTC 2022
2.APCC 2022
Domestic Conference
1.KICS Winter 2022
2.KICS Summer 2022
3.KICS Fall 2022
2023 Goals Achieved
Domestic Conference
1.JCCI 2023