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Habib Mohammed

PhD Researcher · Explainable AI · Ontology-Guided Systems · LLM Evaluation

I build AI systems that reason transparently — and evaluate them with the same rigor.

I'm a third-year PhD student at NC State University, working at the intersection of explainable AI, ontology-guided recommendation, and neurosymbolic reasoning. A core thread in my research: defining what a trustworthy AI output looks like — not just statistically plausible, but logically consistent, edge-case-tested, and grounded in domain knowledge.


🔬 Current Research

OSCAR — Ontology-Guided Contrastive Learning for Career-Job Matching

Designing quality benchmarks and evaluation frameworks for a contrastive learning system grounded in the ESCO occupational ontology. Targeting RecSys.

SDPO — State-Tracked Beam Search with Dominance Pruning for Career Path Recommendation

Authoring golden-standard evaluation sequences and analysing model reasoning chains for logical consistency and ontology alignment across 40,000+ career sequences.


🛠️ Technical Skills

Area Tools & Frameworks
AI / ML PyTorch, TensorFlow, scikit-learn, HuggingFace
Ontology & Knowledge Graphs ESCO, graph traversal, neurosymbolic AI
LLM Evaluation Prompt engineering, benchmark design, RLHF/RLAIF pipelines
Cloud & Engineering AWS (Lambda, Kinesis, CloudTrail), Python, Bash, REST APIs
Security & Governance SIEM (Gurucul, Blumira), OWASP OdTM, NIST 800-53, SOC 2
Dev Tools Git, Docker, Linux HPC, SQL

💼 Experience

Cybersecurity Analyst · CyberAlliance LLC, Raleigh, NC (Oct 2024 – Present)

  • SIEM operations and threat detection across Gurucul, Blumira, Reco Security, and M365 Defender
  • Built a ChatGPT Enterprise audit log pipeline into Blumira SIEM via AWS Lambda and Kinesis
  • Designed a Threat Ontology grounded in OWASP OdTM for the Sally AI platform; mapped to NIST 800-53 and SOC 2
  • Endpoint security (CrowdStrike Falcon EDR, MDE), vulnerability management (Rapid7 InsightVM), and compliance gap analysis

Graduate Research Assistant · NC State University (Aug 2023 – Present)

  • Designing evaluation benchmarks and quality criteria for ontology-guided AI recommendation systems
  • Ran a 360-participant human study evaluating AI explanation quality
  • Built neurosymbolic AI pipelines integrating ESCO ontology via graph traversal
  • Processed 93 GB of structured research data on Linux HPC (Python, PyTorch, scikit-learn)

Lecturer II & Head of Computer Science · Kabba College, ABU Zaria (Dec 2018 – Present)

  • Teaching, research supervision, and academic leadership in the CS programme
  • Head of CS Programme since 2021; former Head of ICT Unit (2021–2023)

Machine Learning Engineer Intern · Interglobal Limited, Abuja (Jan 2018 – Jul 2018)

  • Built and maintained ML pipelines (TensorFlow, PyTorch) on large REST API and web-scraped datasets
  • Tuned regression models and neural networks, reducing model error by 15%

🎓 Education

  • Ph.D., Computer Science · NC State University, Raleigh (Expected May 2028) Advisor: Prof. Kemafor Ogan | Research: Explainable AI, Neurosymbolic AI, Ontology-Guided Recommendation
  • M.Sc., Computer Science · African University of Science & Technology, Abuja (December 2017)
  • B.Sc., Computer Science · Ahmadu Bello University, Zaria (December 2012)

📄 Publications

  1. Mansouri, S., Mohammed, H., & Anyanwu, K. (2024). Taming Smart Contracts With Blockchain Transaction Primitives. IEEE International Conference on Blockchain. DOI: 10.1109/Blockchain62396.2024.00085

  2. Mohammed, H. et al. (2022). A Recommender System for the Nigerian Fashion Industry Based on Big Data. AFIT 1st Faculty of Science International Conference, pp. 78–84.

  3. Lawan, F. I., Ismaila, L. E., Adeshina, S. A., Mohammed, H. I., & Csato, L. (2019). Deep Learning Methods for Filter Extraction in Tomato Fruits. 15th International Conference on Electronics, Computer and Computation (ICECCO). DOI: 10.1109/ICECCO48375.2019.9043283

  4. Mohammed, H. et al. (2019). An Intelligent Predictive Model for Electricity Consumption in Institutional Buildings Using Artificial Neural Networks. International Journal of Computer Science and Technology, IJCST, Vol. 10, Issue 3.


🏅 Honours & Awards

  • Peer Reviewer — ICCAIT 2025, International Conference on Computing & Applied Informatics Technology
  • African Development Bank Scholarship Award — Master's Programme (2016–2017)

🌍 Community

Co-Founder · <CODELAB> (Jan 2021 – Present) A non-profit teaching programming and digital literacy to children in Nigeria.


📌 Portfolio · 💼 LinkedIn · 📬 himohamm@ncsu.edu

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