Research
Advancing economics and finance through data, discovery, and AI.
Explore my peer-reviewed publications, book chapters, conference contributions, and online media.
Research Areas
- AI/ML in Economics: Integrating machine learning into macroeconomic and financial models
- Econometrics: Causal inference, time series, microeconometrics
- Monetary Policy & DSGE Models: Policy analysis, growth dynamics
- Financial Economics: Risk modeling, asset pricing
- Resource & Development Economics: Socioeconomic impacts of resource exploitation
- Digital Social Sciences: Intersectionality, feminism, and activism in digital spaces
Recent Publications (2025)
Advanced evaluation of BIM-GenAI using OpenAI o1 and ethical considerations
This study evaluates the integration of Building Information Modeling (BIM) with Generative AI, specifically OpenAI's o1 model, examining both technical capabilities and ethical implications.
The research addresses privacy, data security, and algorithmic bias concerns in construction technology applications.
We propose a framework for responsible AI deployment in the built environment sector.
Review: The Role of Artificial Intelligence in Building Information Modeling
A comprehensive review examining how artificial intelligence technologies are transforming Building Information Modeling processes and workflows.
The paper analyzes current AI applications in BIM, identifies key challenges, and proposes future research directions.
Special attention is given to machine learning algorithms for design optimization and predictive maintenance.
Ensemble machine learning algorithms for efficient prediction of compressive strength of concrete containing tyre rubber and brick powder
This study develops ensemble machine learning models to predict the compressive strength of sustainable concrete incorporating waste tyre rubber and brick powder.
The research demonstrates that ensemble methods significantly outperform individual algorithms in accuracy and reliability.
Our findings contribute to sustainable construction practices by enabling better utilization of waste materials in concrete production.
Peer-Reviewed Journal Articles
A Review on Aerospace-AI, with Ethics and Implications
An extensive review of artificial intelligence applications in aerospace engineering, with particular focus on ethical considerations and regulatory implications.
The paper examines AI's role in aircraft design, autonomous flight systems, and predictive maintenance while addressing safety, accountability, and bias concerns.
We propose an ethical framework for AI deployment in aerospace applications.
Structural performance of boards through nanoparticle reinforcement: An advance review
This comprehensive review examines how nanoparticle reinforcement enhances the structural performance of engineered boards and panels.
The study analyzes various nanoparticle types, dispersion methods, and their effects on mechanical properties including strength, stiffness, and durability.
Key findings highlight optimal nanoparticle concentrations and processing techniques for maximizing performance improvements.
An Advance Review of Urban-AI and Ethical Considerations
This review explores the integration of artificial intelligence in urban planning and smart city applications, emphasizing ethical challenges and social implications.
The paper examines AI applications in traffic management, urban design, and resource allocation while addressing privacy, equity, and transparency concerns.
We provide recommendations for ethical AI governance in urban environments.
Book Chapters
Artificial Intelligence (AI) and Automation for Driving Green Transportation Systems: A Comprehensive Review
A comprehensive examination of how AI and automation technologies are revolutionizing green transportation systems and sustainable mobility solutions.
The chapter analyzes AI applications in electric vehicles, smart traffic management, and carbon emission reduction strategies.
Special focus is given to machine learning algorithms for optimizing energy efficiency and reducing environmental impact in transportation networks.
Optimizing ML Algorithms for Real-Time Privacy-Preserving Patient Monitoring in Embedded Systems
This chapter develops optimized machine learning algorithms for real-time patient monitoring while preserving privacy in embedded healthcare systems.
The research addresses computational constraints and data security challenges in wearable health devices and IoT medical systems.
Novel federated learning approaches are proposed to enable continuous monitoring without compromising patient privacy.
Forecasting Energy Prices using Machine Learning Algorithms: A Comparative Analysis
A comparative study of various machine learning algorithms for forecasting energy prices in volatile commodity markets.
The research evaluates deep learning, ensemble methods, and traditional econometric approaches using real-world energy market data.
Key findings demonstrate superior performance of hybrid models combining economic theory with machine learning techniques for price prediction accuracy.
Conference Presentations
From Rubber to Cobalt: Evolving Patterns of Resource Exploitation and Social Impact in the Democratic Republic of Congo
This presentation analyzes the historical evolution of resource extraction in the Democratic Republic of Congo, examining the transition from colonial rubber exploitation to modern cobalt mining.
The research explores how extractive industries have shaped social structures, economic development, and environmental outcomes over more than a century.
Special attention is given to the role of international demand, technological change, and local community responses in shaping extraction patterns.
Digital Feminism: Intersectionality and Activism in the Age of Social Media
This research explores the evolution of feminist activism in the digital age, focusing on how social media platforms have transformed gender equality movements and intersectional discourse.
The study analyzes viral feminist campaigns and online communities, examining how digital spaces amplify marginalized voices, particularly women of color and LGBTQ+ individuals.
While highlighting social media's democratizing potential for feminism, the research also addresses challenges such as echo chambers and performative allyship in digital activism.
Family Size and Child Outcomes in Sub-Saharan Africa: The Role of Social Norms
This presentation examines the complex relationship between family size and child outcomes in Sub-Saharan Africa, with particular emphasis on how social norms mediate this relationship.
Using large-scale household survey data, the research explores how cultural expectations, gender roles, and community beliefs influence fertility decisions and their consequences for child welfare.
The study employs econometric methods to identify causal effects while accounting for endogeneity and selection bias in family size decisions.
Online Publications & Media
Revolutionizing Science with AI: From Hypothesis Generation to Anomaly Detection
An accessible exploration of how artificial intelligence is transforming scientific research across disciplines, from automated hypothesis generation to advanced anomaly detection.
The article discusses practical applications in data analysis, experimental design, and scientific discovery while addressing both opportunities and limitations.
Special focus is given to democratizing scientific tools and making AI-powered research methods accessible to researchers worldwide.
La Journée internationale des femmes au Manitoba: Célébration et réflexion
A reflective piece examining International Women's Day celebrations in Manitoba, exploring both achievements and ongoing challenges in gender equality.
The article analyzes the intersection of cultural diversity and women's rights in Canada's prairie provinces.
Special attention is given to the experiences of immigrant and francophone women in Manitoba's unique multicultural landscape.
Célébration de l'héritage et des contributions des Noirs au Canada: Un regard approfondi
An in-depth examination of Black heritage and contributions in Canada, exploring historical and contemporary perspectives during Black History Month.
The article traces the evolution of Black communities across Canada, highlighting often-overlooked contributions to Canadian society, culture, and economy.
Special emphasis is placed on the experiences of Black immigrants and their integration into Canadian society while maintaining cultural identity.
Certificates & Achievements
