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 Gaussian Process Regression Kernel Selection for Secured SCADA Network Communication
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: Awaiting submission
Title 4: 1. Received review comments from the Journal of Communication and Networks
2. To be resubmitted before 2022.10.24
Title 5: 1. Received review comments from Elsevier energy & AI
Title 9: Under review
Title 12: Submitted
Title 15: Commenced with performance evaluation, conclusion, and paper revision
Title 16: Paused to complete revision of title 15
Title 2: Awaiting submission
Title 4: Commenced paper revision in line with review comments
Title 5: To commence paper revision in line with review comments
Title 9: Under review
Title 12: Under review
Title 15: 1. To conclude performance evaluation, conclusion, and paper revision
2. Grammar corrections and plagiarism test
3. Journal Submission
Title 16: Paused to complete revision of title 15 and respond to review comments on titles 4 and 5
Manufacturing Execution System (MES) Project
1. Continued with the survey on AI for raw material inventory management
2. Started the AI module development for raw material inventory management using available public datasets
2. Carried out further preprocessing of the dataset for model improvement
1. To enhance the model development for a better performance
2. To test other algorithms for comparative analysis
1. To complete the survey study
2. To conclude of titles 15 & 16
3. To continue work on the model development for the research thesis
4. 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%)