Research & Projects
A snapshot of my research focus, peer-reviewed publications, and selected projects.
My research is organised across two core domains: Artificial Intelligence for healthcare and Power Electronics for Renewable Energy Conversion. You can try my conversational AI demos and a browser-based code playground on the DesBots page.
Research Stream 1: Artificial Intelligence for Healthcare Solutions
My current research focuses on artificial intelligence, machine learning, and mobile technologies for real-time triage of perinatal mental health risks. The work aims to support early detection and timely intervention by integrating AI-driven decision support into routine perinatal care using multimodal mobile health data.
Publication
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AI Supported Conversational Agents for Perinatal Mental Health: A Scoping Review of Applications, Opportunities, and Challenges in Computational, Ethical, and Privacy Preserving Design
OSF Preprint
This scoping review synthesises evidence on AI supported conversational agents, including chatbots and digital companions, designed to support perinatal mental health among mothers, fathers, parents, and couples. Using PRISMA ScR and JBI frameworks, the study examines how these systems are designed, implemented, and evaluated, with a focus on computational methods, ethical governance, privacy preserving mechanisms, and inclusivity. The work identifies current practices and gaps, and provides guidance for the development of secure, equitable, and clinically meaningful AI driven perinatal mental health interventions.
Research Stream 2: Electrical Engineering (Power Electronics for Renewable Energy Conversion)
My previous research in electrical engineering focuses on power electronics, multilevel inverter topologies, electric drives, and renewable energy systems. This work addresses efficiency, reliability, and performance challenges in energy conversion through advanced converter and motor design.
Publications
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A Five-Level Nested Neutral Point-Clamped Inverter Topology. IET Power Electronics.
DOI
This study proposes an improved five-level NNPC inverter leg that reduces switch voltage stress, with only one device rated at half of the input voltage. Experimental results demonstrate reduced losses, lower cost implications, stable capacitor voltage balancing, and competitive performance compared with existing NNPC topologies.
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A Single-Phase, Nine-level Switched-Capacitor-Based Inverter. Journal of Power Electronics.
DOI
This work presents a self-balanced single-phase nine-level switched-capacitor inverter using a single DC source and a simplified control scheme. The topology achieves a four-times voltage boost with high efficiency and strong active and reactive power performance, validated on a 3 kW prototype.
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Effect of Stator Winding Chording on the Performance of Five Phase Synchronous Reluctance Motor. Journal of Energy Systems.
DOI
This study analyses the impact of stator winding chording on the dynamic and steady-state performance of a five-phase synchronous reluctance motor. Analytical phase-variable models and finite element simulations show close agreement, with improved performance observed as the chording angle increases.
Selected Projects
AI-Driven Perinatal Mental Health App
Currently under development as part of my PhD research to provide real-time risk triage using mobile sensors and ML models.
JutaLab Predictive Modelling
Achieved a 20% increase in accuracy by implementing hyperparameter tuning and cross-validation.
Cloud App Deployment (Nanocodes)
Built and deployed scalable web and mobile applications on AWS and Azure with improved performance metrics.
NIJOTECH OJS Editorial Workflow
Improved publishing efficiency by managing LaTeX typesetting and Open Journal System automation.
Explore More
For full access to my projects and code samples, visit my GitHub profile.