Name: Njoku, Judith Nkechinyere (20225053)
Date: 2023.07.15
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: ICTC Conference
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: IEEE Magazine on Industrial Electronics (Rejected)
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: IEEE IoT Letters (Rejected)
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: IEEESmartGridComm (Rejected)
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:- Wireless communication in digital twins
Paper 1: No plans.
Paper 2: Completed.
Paper 3: Resimulate all battery models
Paper 4: No plans
Paper 5: Completed
Paper 6: Rejected
Paper 7: Completed
Paper 8: Revisit the results of the paper and rewrite them.
Paper 9: Prepare for the Conference
Paper 10: Rejected
Paper 11: Completed
Paper 12: Study Blender 3d model development | Study Unity development with AI
| Study Modeling of vehicles
Paper 1: No plans.
Paper 2: Completed.
Paper 3: Remodel digital twin environment
Paper 4: No plans
Paper 5: Completed
Paper 6: Under review
Paper 7: Completed
Paper 8: Revisit the results of the paper and rewrite them.
Paper 9: Visa application
Paper 10: No plans - Under review
Paper 11: Completed
Paper 12: Study Blender 3d model development | Study Unity development with AI
| Study Modeling of vehicles
Paper 13: Research digital twin communication
Digital twin for bridge project
Activities for the Digital Twin for Bridge - PHASE 1 for the Previous week
1. System design research
2.3D development of Cheongdam Bridge
3. Research Unreal engine dynamic actors
Activities for the Digital Twin for Bridge - PHASE 1 for this week
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.
Goals Achieved
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