Vincent Edeh
Lecturer
Epping
Summary
Well-versed expert with track record for consistently engaging students in stimulating and relevant material. Conscientious educator with learning objectives of each student in mind. Results-oriented Lecturer cognizant of test preparedness and student interest, adapting to feedback where necessary.
Overview
10
10
years of professional experience
7
7
Certifications
Work History
Research Fellow
Swinburne University of Technology
02.2023 - Current
- Conducted comprehensive research on Intracranial pressure using patient's high dimensional data and applied linear algebra in developing the pseudo-code for the machine learning models
- Conducted tutorials on Data Science Fundamental (DSF)
- Identified the limitations in existing software that analyzes Intracranial pressure for the effective detection of acute brain injuries
- Used Meta-Learning to identify impediments in current processes and procedures in ICP analysis while simultaneously implementing operations research for uncertainties and optimization.
- Conducting diagnosis and evaluating the performance of the current algorithms using functional analysis and metrics for easy deployment on the External Ventricular Drain (EVD), the Epidural, and the Subarachnoid Bolts
- Debugged and investigated the Python program code with the scikit-learn library and used mathematical formulas in second-order partial differential equations to validate system specifications and user requirements
- Wrote a novel code for a peak detection algorithm for noisy photoplethysmograph (PPG) signals in heart rates using a convolutional neural network and dynamic threshold and analytically visualized their shape using seaborn in matplotlib
- Maintaining the program code and providing the right advice and instructions for its use and swift deployment
- Compare the performance of the models against ResNet using Real Analysis (RA) while developing an encryption model for the pulse software
- Utilized numerical analysis in calculating the deployment and maintenance cost of the program code to mitigate future miscellaneous expenditures
- Presented a comprehensive overview of the ICP and PPG models, outlining the differences in the program code, and their functionalities which extend to internal and external threat detection, decryption, and ensuring that quality standard is attained
- Developed an efficient algorithm (Graph Convolutional Network, Reinforcement Learning) to detect false data injection attacks with the application of tensor analysis and mathematical formulas to model its efficacy.
- Followed best practices and scientific protocol to reach defensible conclusions based on solid evidence.
Lecturer
National Youth Service Corps Ideato North College
04.2018 - 05.2019
- Unit convening and supervisions
- Lecturing
- Conducting practical sessions
- Marking of assignments and the introduction of an online result platform
- Conducting research in developing the pensioner's software with mathematical modeling
- Preparation of comprehensive teaching materials
- Participation in planning and revising the MTH 102 and CSC 201 curriculum
- Development of an online examination and marking system to support diverse learning with file processing and topology
- Attendance of all faculty and departmental colloquiums, summits, meetings, and convocations
- Providing additional computer tutorial classes for students needing support and introducing complex variables in finding solutions in production.
Desktop Support
Heinz Integrated Services Nigeria
06.2014 - 12.2014
- Configuration and installation of network software
- Provision of user's technical support
- Implementation and planning of system upgrades
- Diagnosing and resolving network and system faults
- Improving server performances
- Managing user details including passwords and user accounts
- Network monitoring.
Education
Ph.D - Information and Communication Technology -
Swinburne University of Technology
VIC, AustraliaGraduate Certificate of Research and Innovation Management - undefined
Swinburne University of Technology
VIC, AustraliaGraduate Diploma of Early Childhood Education - undefined
Southern Cross Education Institute - Higher Education
M.Sc. Computer Science - undefined
Universiti Putra Malaysia
B.tech. Mathematics - undefined
Federal University of Technology
Skills
Problem Solving: Able to analyze and tackle problems independently Highly creative and innovativeundefined
Certification
Python programming - Automation and Machine learning.
Affiliations
- Institute of Electrical and Electronics Engineers (IEEE) Student Member - 2020
- International Association of Engineers (IAENG) - 2019
- Association of Mathematics and Computer Science (AMCOS) - 2010
Special Achievements
- Swinburne Tuition Fee Scholarship (PhD - Australia) - 2020
- Best Researcher Awards - Young Scientist Awards - 2023
- Best Researcher Awards - Internet of Things and Application - 2023
- Certificate of Participation - Artificial Intelligence in Cybersecurity University of Houston, Texas, United States of America - 2023
- Certificate of Participation - Deep Learning Summit REWORK- Toronto, Ontaria, Canada - 2022
- Publications in top Q1 Journals (Elsevier, IEEE Transactions)
Completed Projects
- Developed a novel deep learning algorithm for the detection of false data injection attacks in smart grids using Graph Autoencoder
- Developed a novel and robust data integrity attack detection algorithm in cyberphysical systems using a deep reinforcement learning - Deep Q-learning + Graph convolutional network.
- Complex data Analysis of an Internet movie database using a machine learning algorithm.
- Developed a false data injection attack detection scheme in smart power grids using a graph convolutional network.
- Designed a vending machine using deterministic finite automata.
- Detected jamming attacks in sensor networks using an exponentially weighted moving average model.
- Developed a DevOps spring framework for analyzing user orders and processing them accordingly.
- Designed file encryption software using steganography.
- Analysed the covid-19 pandemic data to identify common causes using three deep learning models for an Australian health organization.
Publications
- Detection of false data injection attacks in cyber-physical systems using graph convolutional network, Electric Power Systems Research, 217, 109-118, 2023, 0378-7796
- Reinforcement Learning-Empowered Graph Convolutional Network Framework for Data Integrity Attack Detection in Cyber-physical systems, CSEE Journal of Power and Energy Systems, To appear
- Detection of False Data Injection Attacks in Smart Grids using Deep Learning Techniques - A Systematic Review, IEEE Systems Journal, To appear
- A Graph Autoencoder Framework for Data Integrity Attacks Detection in Smart Grids, International Journal of Critical Infrastructure Protection, To appear
- Detection of False Data Injection Attacks in Smart Grids using Deep Learning and Machine Learning Techniques - A Systematic Review, The Electricity Journal, To appear
References
Available upon request
Timeline
Research Fellow
Swinburne University of Technology
02.2023 - Current
Lecturer
National Youth Service Corps Ideato North College
04.2018 - 05.2019
Desktop Support
Heinz Integrated Services Nigeria
06.2014 - 12.2014
Ph.D - Information and Communication Technology -
Swinburne University of Technology
Graduate Certificate of Research and Innovation Management - undefined
Swinburne University of Technology
Graduate Diploma of Early Childhood Education - undefined
Southern Cross Education Institute - Higher Education
M.Sc. Computer Science - undefined
Universiti Putra Malaysia
B.tech. Mathematics - undefined
Federal University of Technology
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