Welcome

I am Ahmed Shareef. I am a Maldivian currently based in Croatia. A research assistant and a PhD student. My research area is the Internet of Things and digital twins. Although I am scratching the surface, I am committed to exploring innovative solutions in these fields and contributing to the advancement of technology.

Research Publications

CRODMA – 9th International Scientific Conference

Digital twin technology is revolutionizing the digital economy by merging the physical and virtual worlds, making it an essential for digitizing industries. A digital twin (DT), a virtual replica of a physical object, system, or process, is anticipated to create an intelligent, predictive, and highly efficient economy. There is an increasing demand for novel developments in DT across a variety of industries, including manufacturing, construction, oil and gas, aerospace, energy, and healthcare. Certain stakeholders are already realizing that DTs not only enhance efficiency and reduce costs but also enable the creation of new service offerings. However, the adoption of DT brings along a number of challenges, including concerns about data privacy and security. DT has become a popular topic with increasing interest in academic journal articles and solution offers from the industrial sector. This study presents a literature overview of DT in the context of privacy and security issues to gain a better understanding of the key barriers that may impact the future adoption of DT technologies. The paper presents an analysis of articles published in Scopus, Web of Science, and IEEE Xplore databases between 2019 and 2024 that examine the privacy and security problems of DT.

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CECIIS – 35th Central European Conference on Information and Intelligent Systems (2024)

A digital twin is a virtual system designed to replicate the functionality of a physical object. The concept originating from the industrial sector offers promising avenues for creating immersive, interactive, and personalized learning experiences. This paper explores the potential applications of digital twin technology in the field of education. In order to ascertain the context and methodology of the use of digital twins in education, we present the findings of our literature analysis prepared using the PRISMA approach. Furthermore, we explore the opportunities associated with integrating digital twin technology into educational environments and propose future directions for research and development.

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ICECCME – International Conference on Electrical, Computer, Communications and Mechatronics Engineering

This study introduces a toolset that uses OpenAI’s advanced text-generation model to extract and articulate descriptive insights from Enterprise Resource Planning (ERP) system data. The primary objective of this research is to augment the interpretability of complex data from ERP system, thereby streamlining decision-making processes and improving organizational efficiency. Recognizing a significant gap in the integration of AI-driven text generation with ERP systems, this paper addresses the challenge by demonstrating the development and application of an AI-based chat toolset. The toolset is designed to facilitate user interaction with ERP systems, enabling the retrieval of pertinent information without the traditional reliance on report generation or direct system access. Through a methodical approach, the research details the creation of the toolset that is precisely tailored to enhance information retrieval by seamlessly interfacing with the ERP system. The integration of the OpenAI model allows for the generation of precise and contextually relevant responses to user inquiries, effectively avoiding the need for manual report generation and system navigation. The paper outlines the critical steps involved in the development of this innovative toolset, including effective data extraction, preprocessing, and the establishment of a responsive chatbot functionality. The performance of the toolset is rigorously evaluated, showcasing its potential to significantly elevate user experience and productivity. The findings suggests implementation of such AI-powered chat toolsets can deliver substantial benefits to users navigating intricate data environments, empowering them with the ability to swiftly uncover information through intuitive natural language queries. Future research directions are proposed to explore the applicability of this AI-based chat toolset approach to other ERP systems, aiming to broaden its utility and scalability across diverse ERP platforms.

CECIIS – 34th Central European Conference on Information and Intelligent Systems

Semantic Interoperability of digital twins in smart cities is crucial for improving the efficacy and compatibility of digital twins’ communication, which will result in improved smart cities and lifestyles. Without constant interoperability improvement, it will be impossible to effectively communicate and share information between digital twins. This paper examines the possibility of interoperability enhancement focusing Microsoft Azure Digital Twin Definition Language (DTDL) and discusses future research ideas that could contribute to the enhancement of Azure DTDL.

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Book

2024

This book is for anyone looking to create a professional website. With its clear and concise language, practical examples, and helpful illustrations, this book is the perfect companion for anyone looking to take their first steps into the world of web development.

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