Title 2: Time-Efficient Deep Learning-Based Energy Consumption Prediction for Smart Factory
Target: ICTC 2022 Conference
Title 4: Classification and Characterization of Encoded Traffic in SCADA Network using Hybrid Deep Learning Scheme
Target: Journal of Communication and Networks
Title 5a: Time-Aware CNN Framework for Efficient Energy Consumption Prediction in Smart Factory Target: IEEE Transactions on Smart Grids
Title 5b: Low Computational Cost Convolutional Neural Network for Smart Grid Frequency Stability Prediction
Target: Energy and AI
Title 9: RQGPR: Rational Quadratic Gaussian Process Regression for Attack Detection in the SCADA Networks
Target: APCC
Title 12: SCADA Network High Dimensional Data-Aware Intrusion Detection System using MDT-CHI Fusion
Target: IEEE IoT
Title 15: Machine Learning Efficiency
Target: MDPI
Title 16: Survey Study
Target: Surveys & Tutorials
Title 2: Under review
Title 4: Under review
Title 5: To commence paper revision in line with review comments
Title 9: Accepted
Title 12: Under review
Title 15: Completed English correction, grammar and plagiarism check
Title 16: 1. Concluded with the observations, open issues, future direction and conclusion
2. Commenced English correction, grammar and plagiarism check
Title 2: Under review
Title 4: Under review
Title 5: To commence paper revision in line with review comments
Title 9: To upload camera review copy and presentation materials
Title 12: Under review
Title 15: 1. To complete English correction, grammar, and plagiarism check
2. To submit to approved journal by Professor
Title 16: 1. To conclude English correction, grammar, and plagiarism check
2. To submit to approved journal by Professor
Manufacturing Execution System (MES) Project
1. Continued with fine tuning of the developed model for raw material inventory management using available public datasets
2. Compared developed multi-stack LSTM with other regressors for improved performance
3. Continued in-depth background study of manufacturing execution system with AI in view
1. To continued with the study on the background study of manufacturing execution system with AI in view
2. To commence research writing
1. To conclude of titles 15 & 16
2. To continue work on the model development for the research thesis
3. Start learning network simulation for the research thesis
1. Submit or attend all NSL-approved domestic conferences: (100%)
2. Submit or attend at least two NSL approved International Conferences: Submitted (100%), Attended (50%)
3. Publish or submit at least two International Journal papers/Letters: Submitted (100%)