Title2: Time-Efficient Deep Learning-Based Energy Consumption Prediction for Smart Factory
Target: ICOIN 2022 Conference
Title3: Enhanced Vulnerability Detection in Scada Systems using Hyper-Parameter-Tune Machine Learning
Target: ICTC 2021 Conference
Title 4: An Efficient Hybrid SCADA Network Vulnerability Detection and Characterization Technique
Target: IEEE Transaction on Emerging Topics in Computing
Title 5: An Intelligent CNN Framework for Time-Efficient Energy Consumption Prediction in Smart Factory
Target: ICT Express
Title 7: Efficient Classification of Enciphered SCADA Network Traffic in 5G+ Enabled Smart Factory
Target: IEEE Access
Title 8: Countering DNS Vulnerability to Attacks Using Ensemble Learning
Target: ICAIIC 2022
Title 9: Effective Gaussian Process Regression Kernels Selection for Secured SCADA Network Communication
Target: ICC 2022
Title 10: Improving Machine Learning Reliability using Trees Optimization for Attack Detection on SCADA Network
Target: KICS Fall 2021
Title 2: Title accepted for ICOIN 2022 Conference
Title 4: Awaiting reviewer’s response/comments
Title 5: Finalized paper revision inline review comments on title 7 from ICT Express
Title 7: Uploaded final journal version in line with editors’ comments for publication
Title 8: Submitted for ICAIIC 2022
Title 9: Awaiting reviewer’s response/comments
Title 10: Presented title in KICS Conference November 18, 2021
Title 2: 1. To effect review comments
2. Prepare camera-ready copy for submission inline November 29, 2021 timeline
Title 4: Awaiting review’s response/comments
Title 5: To secure approval from Professor for submission
Title 7: Resubmitted and awaiting final publication by IEEE Access
Title 8: Awaiting reviewer’s response/comments
Title 9: Awaiting reviewer’s response/comments
3D printing Project
Paused labelling of the second batch of datasets to attend KICS Conference
Paused model training on fault detection in 3D Printing to attend KICS Conference
Finalize labelling of the second batch of datasets
Finalize Data Preprocessing
To continue model training on fault detection in 3D Printing
Submit title 5 to an approved journal by Professor
To continue with training on Machine Learning
To finalize a model design and training on fault detection of 3D Printing
1. Attend at least two NSL approved Domestic Conference (100%)
2. Attend at least two NSL approved International Conferences (50%)
3. Submit at least two International Journals (Submission 100%) - 1 Accepted