ResearchGate Profile
Google Scholar Profile
ORCID Profile
Key Achievements
20+
Published Papers
25+
Conference Presentations
15+
AI Models Developed
5+
Years Experience
Publications
Recent research papers, reviews, and conference contributions
Forecasting Energy Prices Using Machine Learning Algorithms: A Comparative Analysis
Advance Toward Artificial Superintelligence with OpenAI's O1 Reinforcement Learning and Ethics
Neural Networks for Predicting Market Trends in Sustainable Industries: A Review
Predicting the compressive strength of laterite blocks stabilized with metakaolin geopolymer and sugarcane molasses via machine learning
Artificial Intelligence (AI) and Automation for Driving Green Transportation Systems: A Comprehensive Review
BIM-Driven Offsite Construction: Pathway to Efficiency, Functionality and Sustainability
Ensemble machine learning algorithms for efficient prediction of compressive strength of concrete containing tyre rubber and brick powder
Structural performance of boards through nanoparticle reinforcement: An advance review
Applications of machine learning algorithms on the compressive strength of laterite blocks made with metakaolin-based geopolymer and sugarcane molasses
An Advance Review of Urban-AI and Ethical Considerations
Performance of machine learning algorithms to evaluate the physico-mechanical properties of nanoparticle panels
Advanced evaluation of BIM-GenAI using OpenAI o1 and ethical considerations
Review: The Role of Artificial Intelligence in Building Information Modeling
A Review on Aerospace-AI, with Ethics and Implications
Conferences & Events
Speaking engagements and conference presentations
MARBLE 2025 – 6th International Conference on Mathematical Research for Blockchain Economy
Athens, Greece
Speaker
Adaptive Proof-of-Stake Governance: A Game-Theoretic Approach to Consensus Mechanisms
Event Details59th Annual Meetings of the Canadian Economics Association
Université du Québec à Montréal
Speaker
Family Size and Child Outcomes in Sub-Saharan Africa: The Role of Social Norms
Event DetailsGraduate Seminar Series, Centre for the Study of Women and Gender
University of Warwick
Presenter
Digital Feminism: Intersectionality and Activism in the Age of Social Media
View SlidesGraduate Seminars in Economic and Social History
University of Oxford
Presenter
From Rubber to Cobalt: Evolving Patterns of Resource Exploitation and Social Impact in the Democratic Republic of Congo
Workshop MaterialsTheoriseHAI Workshop, 12th International Conference on Human-Agent Interaction (HAI)
Swansea, UK
Presenter
A Review of Hybrid Machine Learning Approaches for Enhancing Human-Agent Interaction
Workshop MaterialsResearch Areas
Exploring the intersection of artificial intelligence and economic analysis
AI-Powered Economic Forecasting
Development of machine learning models for accurate economic predictions and trend analysis
Automated Policy Analysis
Using AI to evaluate economic policy impacts and optimize decision-making processes
Natural Language Processing in Economics
Applying NLP techniques to analyze economic texts, reports, and market sentiment
Algorithmic Trading Systems
Development of AI-driven trading algorithms and market prediction systems
Blog
To access my latest blog publications and analyses, please visit:
Deep Analysis
Economic trends, market dynamics, and policy implications.
Featured Articles
Digital finance, market volatility, sustainability, macroeconomics, AI impacts on labor markets, and global supply chains.
Popular Topics
CBDCs, inflation, AI economics, climate finance, cryptocurrency, market volatility, supply chain, and green economy.
Main Sections
Economics, Analysis, Markets, Policy, Insights, and About.
Resources
Newsletter, Archive, Research, and Contact information.
Transparency
Authorship and methodology details, plus privacy policy.
About Frederic Mirindi, PhD Candidate
Biography and Professional Background
Frederic Mirindi, PhD Candidate
PhD Candidate in Economics & Econometrics
Lecturer - Booth University College
Founder - ThinkBit Edge
Biography
Frederic Mirindi is a PhD Candidate in Economics & Econometrics at the University of Manitoba. He is a leading researcher specializing in artificial intelligence applications in economic analysis. With extensive experience in machine learning models for economic forecasting and policy analysis, he has pioneered innovative approaches to understanding economic phenomena through computational methods.
Areas of Expertise
Courses I Teach at Booth University College
As a Lecturer at Booth University College, I teach foundational courses that bridge economic theory with practical applications and research methodologies.
Introduction to Microeconomics
Fundamental principles of microeconomic theory including supply and demand, market structures, consumer behavior, and firm decision-making. Students learn to analyze individual economic units and their interactions in various market environments.
Applied Mathematics
Mathematical methods and applications in economics and business contexts. Coverage includes calculus, linear algebra, optimization techniques, and statistical foundations essential for economic modeling and analysis.
Research Methods
Comprehensive introduction to quantitative and qualitative research methodologies in economics and social sciences. Students learn data collection, analysis techniques, research design, and academic writing skills.
Business Information Systems
Fundamental concepts of information systems in business contexts, focusing on how technology supports organizational strategy, decision-making, and operations. Students explore system design, data management, and the role of IT in modern organizations.
Technical Skills
Contact Information
Get in touch for research collaboration or consultation
frederic.mirindi@umanitoba.ca
frederic.mirindi@boothuc.ca
Phone
+1 (204) 298-4337
Office
290 Vaughan St, Winnipeg, MB R3B 2N8
Office Hours
Mondays & Fridays, 8:00-10:00 AM
Send a Message
Citations & References
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