Name: Njoku, Judith Nkechinyere (20225053)
Date: 2023.07.29
Paper 1: Leveraging Digital Twin Technology for Battery Management: A Case Study review
Target: Engineering Applications of AI (Under review)
Paper 2: Predicting Battery States using Explainable Data-driven Digital Twins
Target: IEEE Access (Completed and Published)
Paper 3: Metaverse and Digital Twin Assisted Battery Management System.
Target: IEEE Magazine on Ind Electronics (Rejected) - Revising for Summer Intensive
Paper 4: Web-based Explainable Hybrid Digital Twin Platform for Electric Vehicle Battery Capacity Estimation
Target: To be decided
Paper 5: Evaluating Explainable Regression Techniques for Service Advisor Performance Analysis in Automotive Dealerships.
Target: Journal of Retailing and Consumer Services (Completed and Published).
Paper 6: Implementing Cryptography and Blockchain in Battery Management for Securing Digital Twin Data.
Target: To be decided
Paper 7: SHAP-based Explainable Model-in-the-Loop for Digital Twins In Battery Management Systems.
Target: JCCI 2024 (Completed and Published).
Paper 8: LLMS for Enhancing Battery Digital Twins
Target: To be decided
Paper 9: TwinMil: Semantic Segmentation-based Digital Twin Framework for Military Surveillance
Target: ICMIC 2024 (Accepted)
Paper 10: Towards Trustworthy Battery Management: A Digital Twin Approach Leveraging XAI and Blockchain.
Target: To be decided
Paper 11: BAT-GPT: Large Language Models for Interactive Digital Twin-based BMS
Target: KICS Summer 2024 (Completed and Published)
Paper 12: Digital Twin for Autonomous Vehicles
Target - Thesis
Paper 13:- Evaluating Wireless Communication Protocols for EV Digital Twin Battery Data Exchange
Target - Infocom
Paper 14 :- EL-Alert: An Explainable Lightweight AST Model for Military Situational Awareness and Surveillance
Target - ICTC 2024
Paper 1: No plans
Paper 2: Completed.
Paper 3: No plans
Paper 4: No plans
Paper 5: Completed
Paper 6: No plans
Paper 7: Completed
Paper 8: No plans
Paper 9: No plans
Paper 10: No plans
Paper 11: Completed
Paper 12: Study Blender 3d model development | Study Unity development with AI
| Study Modeling of vehicles
Paper 13: Completed paper Abstract and submitted. Completed experiments. Documenting results.
Paper 14: Completed paper
Paper 1: No plans.
Paper 2: Completed.
Paper 3: Remodel digital twin environment, Rewrite paper introduction
Paper 4: No plans
Paper 5: Completed
Paper 6: No plans
Paper 7: Completed
Paper 8: No plans
Paper 9: Visa application
Paper 10: No plans
Paper 11: Completed
Paper 12: Study Blender 3d model development | Study Unity development with AI
| Study Modeling of vehicles
Paper 13: Complete paper and submit
Paper 14: Submit paper after getting approval.
Activities for the Digital Twin for Bridge - PHASE 1 for the Previous week
- Overseeing project progress
- Forwarding reports to the team leader and Professor.
1. No plans. Lab vacation
1.3D development of Cheongdam bridge
2.Research Unreal Engine dynamic actors
1. Complete study of Blender/Maya
2. Unreal Engine study
3. Commence study of Solidworks
1.Master Digital Twin development tools.
2.Complete at least Three Journal Papers. - IEEE Access, Journal of Ret. & Con. Ser.
3.Attend at least three Domestic Conference - JCCI2024, KICS Summer 2024
4.Attend at least two International Conferences.
5.Build a 3D based Digital twin application for autonomous vehicles.
2024 Goals Achieved
Domestic Conference
1.JCCI 2024
2.KICS Summer 2024
International Journal
1.Journal of Retailing and Consumer Services (Vol 80, September 2024)
2. IEEE Access
2023 Goals Achieved
Domestic Conference
3.JCCI 2023
4.KICS Summer 2023
5.KICS Fall 2023
International Conference
1.ICUFN 2023
2.ICMIC 2023
3.ICTC 2023
International Journal
1.MDPI Electronics Journal (Volume 12, Issue 24, December 2023)
2022 Goals Achieved
Domestic Conference
1.KICS Winter 2022
2.KICS Summer 2022
3.KICS Fall 2022
International Journal
1.IET Intelligent Transportation Systems Journal (Volume 17, Issue 1, January 2023)
International Conference
1)ICTC 2022
2)APCC 2022