Available for Research Collaboration

Hello, I'm

Engr. Adamu
Cornelius Smah

Applied Mathematician • Machine Learning Engineer • Data Scientist

PhD Researcher at the University of Alberta specializing in mathematical modelling, artificial intelligence, infectious disease dynamics, optimization, and computational intelligence. Passionate about building intelligent systems that improve healthcare, agriculture, and environmental sustainability.

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Python R GIS MATLAB SQL Power BI Tableau Machine Learning Mathematical Modelling

My Quote:

I came as one, I stand as ten thousand -Maya Angelou

Research

20+

Projects

AI

ML

Engineer

Data

SQL

Analytics

ABOUT ME

Bridging Mathematics, Artificial Intelligence and Public Health

I am an Applied Mathematician, Machine Learning Engineer, Artificial Intelligence Researcher and Data Scientist with an interdisciplinary background spanning engineering, computational mathematics, epidemiology, and One Health systems.

My research combines mathematical modelling, optimization, machine learning, and statistical computing to solve real-world challenges in healthcare, agriculture, environmental systems, and infectious disease control.

Currently pursuing a PhD in Applied Mathematics at the University of Alberta, I collaborate with multidisciplinary teams to develop predictive models, computational frameworks, and intelligent decision-support systems that contribute to evidence-based policymaking and scientific innovation.

Focused on solving high-impact problems in healthcare, agriculture, and environmental sustainability through mathematics, AI, and data-driven modelling.

Education

PhD in Applied Mathematics

Specialization

AI, Machine Learning & Mathematical Modelling

Research

Public Health • Agriculture • Environment

Data Science

Predictive Analytics & Decision Intelligence

ACADEMIC JOURNEY

Education

An interdisciplinary academic background spanning Engineering, Applied Mathematics, One Health, Artificial Intelligence, and Computational Sciences.

Present

Doctor of Philosophy (PhD) – Applied Mathematics

University of Alberta, Edmonton, Canada

Research focuses on mathematical modelling, infectious disease dynamics, optimization, computational mathematics, machine learning, and artificial intelligence under the supervision of Dr. Michael Y. Li.

Completed

Master of One Health

University of Nantes / Nantes Atlantic College of Veterinary Medicine, France

Specialized in One Health systems, zoonotic diseases, epidemiology, environmental health, and multidisciplinary disease prevention.

Completed

Master of Engineering

Federal University of Agriculture, Makurdi, Nigeria

Product Processing Engineering with emphasis on engineering systems, optimization, and computational analysis.

Completed

Bachelor of Engineering

Ahmadu Bello University, Zaria, Nigeria

Agricultural and Environmental Engineering, providing the engineering foundation for later work in applied mathematics, AI, and computational modelling.

CAREER

Professional Experience

Research, teaching, engineering, artificial intelligence, and data science experience across academia, government, and international organizations.

Current

Machine Learning & AI Engineer

Alberta Machine Intelligence Institute (Amii)

Develop intelligent machine learning solutions using Python.
Build predictive models and AI systems.
Analyze large-scale datasets.
Develop simulation frameworks for strategic decision making.

Current

Graduate Teaching Assistant

University of Alberta

Teach Calculus, Linear Algebra and Statistics.
Conduct tutorials and mentoring sessions.
Support assessments and academic excellence.

HI-Tech Plus, London, United Kingdom

SQL database analysis.
Python and R programming.
Power BI & Tableau dashboards.
Predictive analytics and business intelligence.

Ministries of Health & Agriculture, Sierra Leone

Worked with WHO, FAO and WOAH.
Rabies epidemiology research.
Spatial analysis and regression modelling.
Community public health interventions.

Research

International Research Collaborator

INRAE & ANSES, France

Emerging zoonotic diseases.
Antimicrobial resistance.
Tick-borne pathogens.
Geospatial and ecological modelling.

EXPERTISE

Technical Skills

A multidisciplinary combination of engineering, mathematics, artificial intelligence, epidemiology and computational sciences.

Python

Machine Learning, AI, Data Analysis & Scientific Computing

SQL

Data Mining, Database Design & Query Optimization

Data Analytics

Business Intelligence, Predictive Analytics & Reporting

Machine Learning

Classification, Regression, Reinforcement Learning & AI

Power BI

Interactive Dashboards & Business Intelligence

Tableau

Professional Data Visualization

Applied Mathematics

Differential Equations, Optimization & Numerical Methods

Epidemiology

Disease Modelling & Public Health Analytics

GIS

Spatial Analysis & Geographical Information Systems

Scientific Computing

Computational Modelling & Simulation Frameworks

Statistics

Statistical Learning, Bayesian Methods & Forecasting

Artificial Intelligence

Explainable AI, Predictive Systems & Intelligent Automation

RESEARCH INTERESTS

Research Areas

Research spanning mathematics, engineering, artificial intelligence, epidemiology, computational biology and public health.

Mathematical Epidemiology Artificial Intelligence Machine Learning Reinforcement Learning Computational Mathematics Scientific Computing Differential Equations Optimization Predictive Analytics Bayesian Modelling Public Health Analytics One Health Systems Environmental Modelling Agricultural Modelling Statistical Learning Computational Biology GIS Spatial Epidemiology Disease Forecasting Data Science

PUBLICATIONS

Selected Publications

Peer-reviewed research spanning applied mathematics, epidemiology, artificial intelligence, One Health and computational sciences.

2025

Mathematical Modelling of Infectious Disease Dynamics

Published research focusing on infectious disease transmission, computational epidemiology and predictive modelling.

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2024

Artificial Intelligence for Public Health Decision Support

Research integrating machine learning and mathematical modelling for evidence-based healthcare.

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2024

One Health & Emerging Zoonotic Diseases

Multidisciplinary research investigating zoonotic diseases, environmental health and epidemiology.

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FEATURED PROJECTS

Data Analytics & AI Portfolio

A collection of data analytics, business intelligence, SQL, Power BI, Python and machine learning projects. Click "View Project" to explore each project in detail.