Faithful Chiagoziem OWNUEGBUCHE

Faithful Chiagoziem OWNUEGBUCHE

PhD Candidate in Machine Learning and Blockchain Technology

SFI Center for Research Training in Machine Learning (ML-Labs), University College Dublin.

Biography

Welcome to my humble webpage. My Brain is Open ~ Paul Erdos.

I am Faithful Chiagoziem ONWUEGBUCHE, a third-year PhD Candidate in Machine Learning and Blockchain Technology at the SFI Center for Research Training in Machine Learning (ML-Labs), University College Dublin (UCD), Ireland. Additionally, I am affiliated with the SFI Research Centre for Software (LERO) and the Security, Privacy, Adaptation & Requirements Engineering (SPARE) group. My supervisors are Associate Prof. Liliana Pasquale and Dr Anca Delia Jurcut.

My research interest is in the intersection of artificial intelligence and blockchain technology, focusing on their applications in finance and cybersecurity. My goal is to build AI systems capable of securing our critical infrastructure, detecting financial fraud and increasing financial inclusion mostly in developing countries. My PhD research is on Machine Learning based Techniques for Adaptive Intrusion Detection of Ransomware Attacks.

Professionally, I have relevant work experience as a data scientist, machine learning researcher and lecturer. Recently, I interned at Mastercard Ireland Foundry Machine Learning and Artificial Intelligence R&D Team. During this period, I developed an AI model to detect fraudulent transactions within the Bitcoin cryptocurrency network. Also, I was awarded the SFI-NSF research grant, and was a visiting research scholar at the AWARE-AI Lab, Rochester Institute of Technology (RIT). We co-authored a paper on using Large Language models to identify psychological vulnerabilities exploited in phishing emails.

Previously, I obtained two master’s degrees: Financial Technology (FinTech) with Distinction from the University of Stirling, UK, and Financial Mathematics from the Pan African University, Kenya, as a Commonwealth Shared Scholar and African Union Scholar, respectively. My undergraduate degree was in BSc Mathematics and Statistics from Ignatius Ajuru University of Education, where I graduated with First Class Honours and was the Overall Best Graduating Student.

In addition to academic and professional achievements, I naturally use my position and resources to positively impact lives. I conduct mentorship sessions for younger scientists, deliver talks at workshops, and lead community development initiatives. In my spare time and besides coding, I enjoy singing, playing the guitar (still learning), writing poetry, jogging/exercising, and exploring the wonders of nature.

Interests
  • Artificial Intelligence
  • Blockchain Technology
  • Cybersecurity and Finance
Education
  • PhD in Machine Learning and Blockchain Technology, 2025

    SFI Center for Research Training in Machine Learning (ML-LABS), University College Dublin, Ireland.

  • MSc in Financial Technology (FinTech) (Distinction), 2020

    University of Stirling, Scotland, United Kingdom.

  • MSc in Financial Mathematics (Research Masters), 2019

    Pan African University, Institute for Basic Sciences, Technology and Innovation (PAUSTI), Kenya.

  • B.Sc.Ed. in Mathematics & Statistics (First Class Honours), 2014

    Ignatius Ajuru University of Education (IAUE), Nigeria.

Skills

Programming
Python
R
SQL
HTML
CSS
JavaScript
GCP
Data Analytics
SPSS
Tableau
MSExcel
SAS
EViews
Cybersecurity
Malware Analysis
Cuckoo Sandbox
Honeypots
IDA Pro
PEStudio
VirusTotal

Industry & Research Experience

 
 
 
 
 
SFI Centre for Research Training in Machine Learning (ML-Labs), UCD.
PhD Researcher in Machine Learning
September 2021 – Present Dublin, Ireland

Responsibilities include:

  • Research: Machine Learning Techniques for Adaptive Ransomware Intrusion Detection.
  • Designing and implementing novel machine learning algorithms capable of rapidly identifying and mitigating emerging and evolving ransomware attacks.
  • Publishing in reputable journals to share insights with the broader research community.
  • Presenting the research findings at top-tier machine learning and cybersecurity conferences.
  • Collaborating with industry partners to transfer the developed technology into practical security solutions that protect end-users from ransomware attacks.
 
 
 
 
 
Cognitive Modelling Track, AWARE AI Lab, Rochester Institute of Technology (RIT), NY, USA.
Visiting Research Scholar in Artificial Intelligence
August 2023 – November 2023 Rochester, New York, USA.

Responsibilities include:

  • Proposed a research project on leveraging Large Language Models (LLMs) to identify psychological vulnerabilities cybercriminals exploit in phishing emails.
  • Awarded the SFI-NSF Student Mobility Research Grant worth €4,065.50 to support the research.
  • Collaborated with a multidisciplinary team of experts across fields such as artificial intelligence, cybersecurity, human-computer interaction, and psychology.
  • Co-authored a research paper submitted for publication in a reputable peer-reviewed journal.
  • Presented my research findings on ransomware detection using machine learning to the lab.
 
 
 
 
 
Foundry Machine Learning and Artificial Intelligence R&D Team, Mastercard, Ireland.
Machine Learning and Blockchain Researcher
May 2023 – August 2023 Dublin, Ireland.

Responsibilities include:

  • Developed a novel AI system for detecting fraudulent Bitcoin transactions at scale.
  • Submitted a patent application on Bitcoin payment transaction detection and fraud prevention technology, currently pending approval.
  • Managed project tasks and workflows effectively within an agile framework using Jira.
  • Facilitated transparent communication and knowledge sharing across the team through Confluence.
 
 
 
 
 
Brighter Futures Initiative CIC, Scotland, UK.
Data Scientist (Remote)
January 2021 – September 2021 Scotland, UK.

Responsibilities include:

  • Developed and delivered online lessons on AI, Data Science and Mathematics to multi-cultural and multi-ethnic groups from Africa and other minority Ethnic Communities in Scotland following the COVID-19 pandemic.
  • Conducted exploratory data analysis to identify patterns, trends, and insights, generating descriptive statistics and visualizations using Excel, Python (Pandas, Matplotlib), R, Tableau, and Power BI.
  • Built predictive models using machine learning techniques in Python and R to forecast future trends.
  • Summarized findings in clear, actionable reports and presented insights to management and executives.
 
 
 
 
 
Business Developer (Remote)
Saipal UK LTD, Edinburgh, Scotland, UK.
September 2020 – December 2020 Scotland, UK.

Responsibilities include:

  • Analysed data and provided insights using analytical tools such as Python, SQL, R, Tableau and SPSS.
  • Developed business solutions for clients using advanced analytics.
  • Tested developed software for functional and non-functional performance.
 
 
 
 
 
Commonwealth Scholarship Commission and the University of Stirling, UK.
Commonwealth Shared Scholar
September 2019 – September 2020 Scotland, UK.

Research Area(s): Machine Learning, Cyber Security (Malware Detection), FinTech.

  • Developed machine learning models for malware detection and classification.
  • Presented research findings through poster presentations, publications and academic talks.
  • Awarded MSc in Financial Technology (FinTech) with Distinction.
 
 
 
 
 
African Union Commission, Pan African University.
African Union Commission Scholar
November 2017 – November 2019 Nairobi, Kenya.

Research Area(s): Quantitative Risk Analytics, Big Data Analytics, Machine Learning, Financial Modelling.

  • Developed a novel Value-at-Risk Measurement Incorporating Sentiments from Financial Tweets for Risk Analysis of Nigerian Banks.
  • Delivered presentations in conferences, workshops and meet-ups, as a way of communicating my findings.
  • Championed the establishment of a multi-disciplinary research team developing innovative solutions to African challenges with the help of Mathematics, Artificial Intelligence and Data Science.
  • Published two research papers in reputable international journals.
  • Awarded MSc in Financial Mathematics (Research Masters).
 
 
 
 
 
Data and Research Scientist
Masterpiece Digital Research Consulting, Port Harcourt, Nigeria.
July 2014 – November 2017 Port Harcourt, Nigeria.

Responsibilities include (done part-time):

  • Analysed both qualitative and quantitative data using R, Python, SPSS, MS Excel, and EViews.
  • Organised training in data analytics, conducting tests and developing client technical reports.
  • Translated research findings into remarkable insights, decisions and actions.

Teaching Experience

 
 
 
 
 
National College of Ireland (NCI), Ireland.
Associate Lecturer in Artificial Intelligence and Blockchain Technology
September 2022 – Present Dublin, Ireland

Responsibilities include:

  • Lecturing the Blockchain Application Development module.
  • Supervising MSc and BSc student’s thesis in Artificial Intelligence and Blockchain Technology.
  • Developing comprehensive assessments that effectively evaluate students’ understanding of complex AI and Blockchain concepts.
  • Grading assignments and exams promptly, providing detailed and constructive feedback to help students identify areas for improvement.
  • Collaborating with the department to continuously update course content and materials to align with the latest advancements in AI, ML and Blockchain.
  • Organising and facilitating interactive workshops and tutorials to reinforce key concepts and encourage hands-on learning.
 
 
 
 
 
University College Dublin, Ireland.
Teaching Assistant in Computer Science
September 2021 – Present Dublin, Ireland

Responsibilities include:

  • Teaching assistant for several modules including, Advanced Machined Learning, Databases, Data Analytics, Operating Systems, Ethical Hacking, and Malware Analysis.
  • Guiding students with hands-on implementation of complex concepts.
  • Grading students’ performance accurately and fairly.
  • Delivering constructive and insightful feedback to support their learning and academic growth.
 
 
 
 
 
Mathematics and Further Mathematics Teacher
National Youth Service Corps (NYSC), Abraka Grammar School, Delta State, Nigeria and Cornerstone International Secondary School, Rivers State, Nigeria.
May 2015 – April 2017 Nigeria

Responsibilities include:

  • Delivered planned lessons with student-centred pedagogy in line with curriculum objectives.
  • Developed excellent verbal and written communication skills as a teacher, interacting with colleagues, young students and their parents.
  • Conducted a free Mathematics tutorial for SSS 3 students preparing for WASSCE.
  • Organised learning resources and materials in line with curriculum objectives.

Leadership & Community Development Service

 
 
 
 
 
Mentor
January 2023 – Present Online

Responsibilities include:

  • Providing mentorship to young scientists on academic and professional excellence.
  • Developing and delivering hands-on training programs in data science and artificial intelligence.
  • Offering guidance and resources on successfully obtaining scholarships and research grants.
  • Facilitating career development sessions including leadership and communication skills.
 
 
 
 
 
Commonwealth Scholarship Commission in the UK.
West Scotland Regional Network Coordinator
November 2019 – September 2020 Scotland, UK.

Responsibilities include:

  • Managed a cohort of 76 Commonwealth scholars and fellows from diverse international backgrounds across 5 UK universities.
  • Cultivated a vibrant, collaborative network by facilitating regular social and professional development opportunities for scholars.
  • Organised a series of enriching events and activities that helped the scholars make the most of their time in the UK, including cultural excursions, academic workshops, and career coaching sessions.
  • Collaborated closely with other regional coordinators and university representatives to ensure a seamless and rewarding experience for the scholars.
 
 
 
 
 
Department of Mathematics, Pan African University, Kenya.
Program Representative and President
April 2018 – November 2019 Nairobi, Kenya.

Responsibilities include:

  • Represented the interests and perspectives of Mathematics PhD and MSc scholars at high-level meetings with the African Union Commission and PAUSTI directorate.
  • Created an effective collaborative environment that fostered meaningful connections and knowledge-sharing between scholars, industry partners, and academic institutions.
 
 
 
 
 
Charity Community Development Service (CDS) Unit, NYSC, Delta State, Nigeria.
President
July 2015 – April 2016 Delta State, Nigeria.

Responsibilities include:

  • Led a team of over 40 fellow NYSC members from diverse ethnic and educational backgrounds.
  • Demonstrated strong interpersonal skills and fostered a collaborative, team-oriented spirit.
  • Organized and executed numerous impactful community initiatives, including:
    • Medical outreach programs to provide free healthcare services.
    • Visits and donations to local orphanages.
    • Awareness campaigns on important social and health issues.
  • Awarded the Best Performing Unit NYSC President, Abraka, Delta State.

Awards and Honours

CIFAR Inclusive AI Scholarship
AI scholarship worth $3,750 CAD to attend the CIFAR Deep Learning and Reinforcement Learning Summer School from July 8-17, 2024 in Toronto, Canada.
SFI-NSF Student Mobility Research Grant
Research grant worth €4,065.50 to conduct collaborative cutting-edge AI research at AWARE-AI Lab, Rochester Institute of Technology, USA.
Full PhD Scholarship to Research in Machine Learning and Blockchain Technology
Full PhD research grant to research in Machine Learning at ML-Labs, UCD.
Commonwealth Shared Scholarship
Full Postgraduate Scholarship for Master of Science in Financial Technology (FinTech) sponsored by the Commonwealth Scholarship Commission (CSC) in partnership with the University of Stirling, Scotland, UK.
Japan International Corporation Agency Seed Research Grant
Seed research grant worth $600. Awarded by JICA to help me kick start my research at PAUSTI.
African Union Commission, Pan African University Scholarship
Full Postgraduate Scholarship for Master of Science in Financial Mathematics at PAUSTI, Nairobi, Kenya sponsored by the African Union Commission.
Best Performing Unit President
Outstanding Leadership Award in recognition of my Impactful and Selfless Community Development Service at Abraka, Delta State, Nigeria..
Overall Best Graduating Student - Valedictorian (1st Class Honours)
Awarded the overall best-graduating student out of over 3,000 students for the 2013/2014 academic session, IAUE.
Best Graduating Student in the Faculty of Natural and Applied Sciences
Monier Construction Company (MCC) Prize
Awarded the MCC Prize for Outstanding Mathematical Talent as the overall best graduating student at IAUE.
Best Graduating Student in the Department of Mathematics and Statistics
Co-best Speaker and Winner in the First Inter-faculty Debate of IAUE
Represented the Faculty of Natural and Applied Sciences as the Chief Speaker, in the first Inter-Faculty Debate and was awarded the co-best speaker of the tournament.
Consistent Mention and Recognition, Dean’s Rolls of Honour IAUE
Throughout my undergraduate studies from 2010-2014, I was consistently in the Dean’s Rolls of Honour for outstanding academic performance and character.

Certifications

Coursera
Prompt Engineering for ChatGPT
See certificate
Cryptocurrency Tracing Certified Examiner (CTCE)
See certificate
Coursera
Smart Contracts with Solidity
Create an Ethereum contract
See certificate
This course introduces the concept of data science.
See certificate
Health, Safety and Environment Certification.
UK HSE Level 1, 2 and 3; Total Quality and Risk Management - Grade(s) Distinction.
See certificate

Recent Posts

My Favourite Mathematics Quotes
Inspiring quotes by mathematicians.
My Favourite Mathematics Quotes

Projects

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Large Language Models for Human-Centred Cybersecurity Defence
This research project explores the use of generative artificial intelligence, large language models (LLMs) to enhance human-centred cybersecurity defences against sophisticated attacks such as phishing attacks. The goal is to augment human expertise and enable security teams to stay ahead of evolving attack techniques at machine speed and scale.
Large Language Models for Human-Centred Cybersecurity Defence
Machine Learning Techniques for Adaptive Ransomware Intrusion Detection
This PhD research project focuses on developing an adaptive intrusion detection system that leverages advanced machine learning algorithms to detect and mitigate emerging ransomware threats. By designing novel ML techniques capable of analysing large-scale datasets of ransomware samples and benign files, the project aims to create a highly accurate and responsive defence against rapidly evolving ransomware attacks.
Machine Learning Techniques for Adaptive Ransomware Intrusion Detection

Recent Publications

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(2024). A Mathematical Model for the Prevention of HIV/AIDS in the Presence of Undetectable Equals Untransmittable Viral Load. International Journal of Mathematical Sciences and Optimization: Theory and Applications, 10(2).

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(2022). Time-delayed Modelling of the COVID-19 Dynamics with a Convex Incidence Rate. Elsevier Informatics in Medicine Unlocked, 35.

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(2021). TsFeX: Contact Tracing Model using Time Series Feature Extraction and Gradient Boosting.

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(2020). System Properties Based Malware Detection using Machine Learning. An unpublished MSc thesis submitted to the Division of Computing Science and Mathematics, University of Stirling, United Kingdom, for the degree of Master of Science in Financial Technology (FinTech).

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(2019). Value-at-Risk Measurement Incorporating Sentiments from Financial Tweets for Risk Analysis of Nigerian Banks. An unpublished thesis submitted to the Department of Mathematics, Pan African University Institute for Basic Sciences, Technology and Innovation, Kenya for the degree of Master of Science in Financial Mathematics.

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Gallery

Contact

I welcome the opportunity to connect with you. If you would like to discuss potential collaborations, job opportunities, or if you would like me to share my CV, please don’t hesitate to reach out.