AHAKONYE LOVE ALLEN CHIJIOKE
Title 4: Classification and Characterization of Encoded Traffic in SCADA Network using Hybrid Deep Learning Scheme
Target: Journal of Communication and Networks
Title 5: Low Computational Cost Convolutional Neural Network for Smart Grid Frequency Stability Prediction
Target: Elsevier IoT
Title 16: A Contemporary Survey of SCADA Intrusion Detection Frameworks: Approaches, Challenges, and Open Issues
Target: Surveys & Tutorials
Title 20: B-DT: Bagged-Decision Tree Detection and Characterization of the IEC-60870-5-104 SCADA Network Communication Traffic
Target: ICC 2023
Title 22: A Multi-MLP Prediction for Inventory Management in Manufacturing Execution System
Target: Elsevier IoT
Title 23: Trees Bootstrap Aggregation for Detection and Characterization of IoT-SCADA Network Traffic
Target: IEEE Transactions on Industrial Informatics
Title 24: Explainable Machine Learning for Intrusion Detection in the Industrial Internet of Things: LIME Approach
Target: IoT Magazine
Title 25: Statistical Process Routing Optimization for the Product Line of a Manufacturing Execution System
Target:
Title 4: Awaiting Reviewer scores
Title 5: Under review
Title 16: To start paper revision in line with review comments
Title 20: 1. Finalized conference registration
2. Applied for a visa
Title 22: Under review
Title 23: Under review
Title 24: Submitted
Title 25: 1. Created the mathematical representation of the objective function to achieve the optimal
2. Commenced article writing in demonstration of the statistical approach to process routing
optimization: i. Introduction
ii. Related Works
iii. System methodology
Title 4: Awaiting Reviewer scores
Title 5: Under review
Title 16: To start paper revision in line with review comments
Title 20: Awaiting visa approval
Title 22: 1. Major Revision
2. To commence paper revision in line with review comments
Title 23: Under review
Title 24: Under review
Title 25: 1. Generated arbitrary data to solve the objective function to achieve the optimal solution for a small-scale product line process routing optimization
2. Finalizing article writing on Statistical Process Routing Optimization for the Product
Line of a Manufacturing Execution System
Manufacturing Execution System (MES) Project - PHASE 2
1. Formulated a statistical model for the process routing optimization of a product line
2. Generated arbitrary data to solve the objective function to achieve the optimal solution for a small-scale product line process routing optimization
3. Commenced Routing Process Optimization Model creation
4. Finalizing article writing on Statistical Process Routing Optimization for the Product Line of a Manufacturing Execution System
5. Guiding a newcomer on the commencement of the MES Phase 3 Project as instructed by Professor
6. Continuous guide of project members on Phase 2 of the MES Project
7 . Continuous supervision of the MES project and members' activity
1. To commence experimentation of the created Gurobi Optimization model
2. To conclude article writing for submission to an international conference on Professor’s approval
3. To continue guiding a newcomer on the MES Phase 3 Project
4. Continuous guide of project members on Phase 2 of the MES Project
5 . Continuous supervision of the MES project and members' activity
1. Completed and submitted title 24
2. Complete title 25, awaiting Professor’s approval for submission
3. Finalize the revision of title 16
4. Completed upload of camera-ready copy, conference registration and visa application
1. To focus on SCADA network simulation
2. To work on developing a model for the research thesis
3. Respond to review comments
4. Thesis writing
5. To submit and attend all NSL-approved domestic conferences
6. To submit and attend NSL-approved International Conferences - (submitted 100%, presented 50%)
7. Submit at least two international journals