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Academic writing

A selection of my writing in academic journals on topics relevant to my experience and expertise in tech. My Google Scholar profile can be found here

Published in: European Journal of Computer Science and Information Technology

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Abstract: This article presents the compelling business case for digital accessibility, demonstrating how inclusive UI engineering drives tangible economic growth beyond mere compliance. Organizations implementing accessibility standards experience significant benefits across market expansion, legal risk reduction, operational efficiency, and brand loyalty. The economic impact extends from the substantial disability market to improved performance metrics across all user segments. Companies integrating accessibility into development workflows report enhanced code quality, reduced maintenance costs, and accelerated innovation cycles. Case studies from financial services company illustrate how accessibility implementation transforms both product performance and organizational capabilities. The article provides a structured implementation framework for organizations at any stage of accessibility maturity, offering practical governance models and progressive strategies that generate measurable business returns while creating more inclusive digital experiences.

Published in: Journal of Computer Science and Technology Studies

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Abstract: This article examines how healthcare providers and health technology firms can optimize user interfaces for accessibility, ensuring that elderly and disabled patients can navigate telemedicine services effectively. The rapid digitization of healthcare, accelerated by the pandemic, has created both opportunities and barriers for vulnerable populations. While telehealth eliminates geographic and transportation limitations, poorly designed interfaces can erect new obstacles. Content platform engineering offers promising solutions through structured content models, adaptive delivery systems, and multimodal interaction patterns.The article explores technical foundations of accessible healthcare interfaces including semantic HTML architecture, progressive enhancement strategies, and ARIA implementation for dynamic content. It presents implementation strategies for addressing visual impairments, motor control limitations, and cognitive accessibility needs, along with frameworks for measuring success. A case study of Memorial Health System demonstrates how accessibility redesign can simultaneously improve patient outcomes and organizational efficiency. Future directions in healthcare accessibility include AI-driven personalization, biometric adaptation, and voice-first interface paradigms that further reduce barriers to equitable care access.

Published in: World Journal of Advanced Engineering Technology and Sciences

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Abstract: This article explores the critical intersection between content platform engineers and designers, highlighting effective collaboration strategies for creating accessible user interfaces. The disconnect between technical implementation and visual design frequently leads to accessibility barriers that impact users with disabilities. By establishing shared understanding of accessibility standards, implementing cross-functional education, integrating workflows, and utilizing proper implementation techniques, teams can overcome these barriers while maintaining brand consistency. The piece presents evidence-based frameworks for measuring collaboration effectiveness and emphasizes the importance of organizational support through executive sponsorship, resource allocation, training opportunities, and recognition systems. Through practical examples including a form component case study, the article demonstrates how bridging disciplinary divides results in digital experiences that are both accessible and aesthetically compelling, serving the needs of all users regardless of ability. 

Published in: World Journal of Advanced Research and Reviews​

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Abstract: The digital revolution has fundamentally transformed how news is produced and consumed, yet accessibility barriers persist for specific demographics including individuals with disabilities, non-native language speakers, and those with limited time or cognitive bandwidth. Artificial intelligence and machine learning technologies are now bridging these gaps through three key innovations: automatic content summarization, real-time translation, and AI-generated voice narration. These technologies democratize access to information across previously underserved populations, with neural network-based accessibility solutions now deployed across major global news outlets. This article explores the technical underpinnings of these AI-driven solutions revolutionizing accessibility in news media, from the extractive and abstractive summarization approaches to sophisticated neural machine translation architectures and modern text-to-speech systems. The integration of these technologies into unified content pipelines with API-driven microservices enables comprehensive accessibility transformations, while emerging directions like multimodal understanding and personalized content adaptation promise to further enhance news accessibility despite ongoing ethical and technical challenges. 

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