I am a Second Year PhD Student at North Carolina State University, Raleigh. My research is focused on modelling declarative transactional behaviours in decentralized marketplaces.
- (Expected May 2028)
- (December 2017)
- (December 2012)
Graduate Research Assistant @ North Carolina State University (August 2023 - Present)
- Analyzed and processed 93GB of Ethereum blockchain transaction data to identify patterns suitable for automation and developed data pipelines to improve smart contract efficiency.
- Reviewed over 100 security vulnerabilities in OpenEMR software applications, providing solutions to patch weaknesses and improve software reliability.
- Developed and implemented benchmarking methodologies for smart contracts in decentralized marketplaces, focusing on scalability and security improvements.
Machine Learning Engineer Intern @ Interglobal Limited, Abuja, NG (January 2018 - July 2018)
- Conducted data collection, processing, and analysis for novel study evaluating the impact of over 300 biometrics variables on human performance in hyper-realistic, live-fire training scenarios
- Applied unsupervised deep learning approaches to longitudinal ICU data to discover novel sepsis sub-phenotypes
- Developed machine learning models to predict rainfall patterns using a 50-year precipitation dataset, achieving improved accuracy through cross-validation techniques.
- Applied neural networks and regression models, optimizing parameters to minimize mean squared error.
- Conducted security testing for OpenEMR using white box, black box, and fuzz testing techniques.
- Identified vulnerabilities, assessed risks, and developed mitigation strategies, improving software security protocols.
- Sogolsadat Mansouri, Habib Mohammed, Kemafor Anyanwu. Taming Smart Contracts With Blockchain Transaction Primitives: A Possibility? (2024). DOI: https://doi.org/10.1109/Blockchain62396.2024.00085
- Habib Mohammed et al. A Recommender System for the Nigerian Fashion Industry Based on Big Data (2022). AFIT 1st Faculty of Science International Conference , pp. 78-84.
- F. I. Lawan, L. E. Ismaila, S. A. Adeshina, H. I. Mohammed and L. Csato. Deep Learning Methods for Filter Extraction in Tomato fruits} (2019). 15th International Conference on Electronics, Computer and Computation (ICECCO).DOI: 10.1109/ICECCO48375.2019.9043283
- Habib Mohammed et al. An Intelligent Predictive Model for Electricity Consumption in Institutional Buildings Using Artificial Neural Networks (2019). International Journal of Computer Science and Technology, IJCST Vol. 10, Issue 3.