Innovative Research Award
Matthew Alexander
Universitas Kristen Duta Wacana Yogyakarta, Indonesia
Matthew Alexander is a computer science professional and software engineer associated with Universitas Kristen Duta Wacana Yogyakarta. His professional and academic work spans full-stack software development, machine learning, case-based reasoning, database-oriented system development, and blockchain applications. His documented research activity includes work on knowledge-based systems and case-based datasets, providing a basis for consideration in the Innovative Research Award category.
Abstract
Matthew Alexander is a computer science graduate and software engineer specializing in full-stack development, machine learning, case-based reasoning, decision-support systems, and Web3 technologies. His academic work includes Hybrid Fuzzy TOPSIS for multi-criteria decision-making and expert-system development. His research profile includes a 2026 knowledge-based systems publication in Array, published by Elsevier. [2]
Keywords
Data Modeling, Database Design, Case-Based Reasoning, Knowledge-Based Systems, Machine Learning, Decision Support Systems, Hybrid Similarity, Fuzzy TOPSIS, Full-Stack Development, Software Engineering, Blockchain Applications.
Introduction
The development of intelligent information systems integrates structured data, computational reasoning, software engineering, and decision-support methodologies. Alexander’s profile reflects this interdisciplinary approach through case-based reasoning, machine learning, and structured information processing. His work is particularly relevant to data modeling and database design, while his publication on a knowledge-based system generator demonstrates this research direction. [2]
Research Profile
Matthew Alexander holds a Bachelor of Computer Science (S.Kom.) in Informatics from Duta Wacana Christian University, Yogyakarta. His academic and technical profile encompasses software engineering, machine learning, case-based reasoning, computer vision, database technologies, and blockchain development. His experience combines intelligent systems research, full-stack implementation, and knowledge-based system development supported by academic publication. [2]
Research Contributions
Alexander’s research contributions focus on computational reasoning and intelligent information systems. His work includes Case-Based Reasoning using Jaccard and Cosine similarity, Hybrid Fuzzy TOPSIS for multi-criteria retrieval, and knowledge-based system development. These efforts demonstrate applied expertise in computational retrieval, decision support, structured data processing, and intelligent system integration, supported by a 2026 publication. [2]
Publications
The publication by Delima et al. (2026), co-authored by Matthew Alexander, presents a knowledge-based system generator built around a case-based dataset. Published in Array, the study reflects Alexander’s research involvement in knowledge-based systems, case-based reasoning, and structured data processing.[2]
Research Impact
Matthew Alexander’s research profile demonstrates applied expertise in computational systems, including case-based reasoning, similarity computation, fuzzy decision methods, and knowledge-based systems. His software engineering experience extends these concepts into full-stack, machine-learning, and blockchain applications.[1][2]
Award Suitability
The Innovative Research Award assessment is supported by Matthew Alexander’s work in Case-Based Reasoning, Hybrid Similarity, Hybrid Fuzzy TOPSIS, knowledge-based systems, and software engineering. His research connects computational methods with practical system development, supported by a peer-reviewed publication on knowledge-based system generation using case-based datasets and documented academic contributions. [2]
Conclusion
Matthew Alexander presents a multidisciplinary computer science profile combining software engineering with applied research in knowledge-based systems, case-based reasoning, machine learning, and data-oriented application development. His academic work and documented publication provide relevant evidence for an Innovative Research Award assessment, particularly in areas involving structured data, intelligent retrieval, and computational decision support. [1] [2]
External Links
References
- Elsevier. (n.d.). Scopus author details: Matthew Alexander, Author ID 60687830000. Scopus. https://www.scopus.com/authid/detail.uri?authorId=60687830000
- Delima, R., Purwadi, J., Wibowo, A., Sinaga, J. Y., Imanuel, V., & Alexander, M. (2026). Knowledge-based system generator based on case-based dataset. Array. https://doi.org/10.1016/j.array.2026.101145