Ms. Rafita Haque | Engineering | Best Researcher Award
Florida International University | United States
A highly motivated academic and researcher, this individual is currently pursuing a Ph.D. in Computer and Electrical Engineering, specializing in artificial intelligence, biomedical sensors, signal analysis, and data security. With a foundation built on degrees in Software Engineering and Computer Science and Engineering, their expertise bridges software development, academic teaching, and advanced research. Their professional background includes university-level teaching in computer science and software engineering, where they guided undergraduate students through core computing courses and research activities. In addition to academia, they have held positions as a Software Quality Assurance Engineer, where they contributed to the development and refinement of AML solutions for banking and insurance applications. Their scholarly work includes multiple peer-reviewed journal and conference publications indexed by Scopus, Springer, and Web of Science. Recognized with awards for both academic research and practical projects, they are committed to contributing to technological advancement in healthcare, artificial intelligence, and secure information systems.
Profile
Education
Rafita Haque Currently enrolled in a Ph.D. program in Computer and Electrical Engineering, the individual is conducting research in artificial intelligence, biomedical devices, signal and data analysis, and cardiovascular health technologies. They previously completed a Master’s degree in Software Engineering, where the focus was on analyzing consumer information quality within social media platforms and its effect on purchase decisions. Their Master’s education emphasized management information systems and data analytics. Prior to that, they earned a Bachelor’s degree in Computer Science and Engineering, which included a final year project on developing a secure intra-university network system. Throughout their education, they have maintained strong academic performance and engaged in research aligned with cybersecurity, data analysis, and emerging digital technologies. They have also completed several professional training programs in networking, ASP.NET development, and cybersecurity, enhancing their technical proficiency and preparing them for both academic and industry challenges in the computing domain.
Experience
Rafita Haque With diverse experience in both academia and industry, this individual has served as a lecturer in computer science and software engineering departments at two universities. Their teaching portfolio includes courses such as programming languages, operating systems design, numerical analysis, and theory of computing. In these roles, they mentored undergraduate students, supported research collaborations, and contributed to curriculum development. Prior to and alongside their academic roles, they worked as a Software Quality Assurance Engineer at prominent software firms, where they contributed to the design, testing, and enhancement of software systems used in financial and insurance institutions. Their technical expertise includes system validation, software error correction, and performance improvement using technologies such as ASP.NET, Python, MySQL, and NoSQL. These roles have provided them with a well-rounded professional profile, integrating both the theoretical rigor of academia and the applied problem-solving demands of the software industry.
Awards and Honors
This researcher has earned multiple recognitions for their academic excellence and research contributions. They received the Best Paper Award in the Internet of Things (IoT) category at an international technology and data science conference held in Malaysia. During undergraduate studies, they were awarded Best Project honors for developing a secure network management system designed for academic institutions. Their academic output has also led to invitations for presentations at notable forums, including national-level blockchain competitions. Their research has been published in several peer-reviewed journals and conference proceedings, many of which are indexed in Scopus, Web of Science, and Springer. These works address topics such as web application vulnerabilities, blockchain integration in healthcare systems, deep learning for heritage architecture, and the intersection of IoT with digital commerce. The recognition reflects not only the relevance of their work but also their ongoing commitment to advancing practical, interdisciplinary solutions in computing and health-related technologies.
Research Focus
This researcher’s work centers on the intersection of artificial intelligence, biomedical engineering, and data security. Their doctoral research explores the integration of AI with biomedical sensors and photoplethysmogram (PPG) signal analysis to develop innovative diagnostic tools for cardiovascular health monitoring. Their broader research interests also include secure data transmission in healthcare systems, especially using blockchain technology for electronic medical records. Previous contributions have investigated the role of digital consumer information, remote protocol integration, and signal processing for both medical and heritage architecture applications. By leveraging AI-driven approaches with secure data infrastructure, their research aims to enhance the reliability, accessibility, and security of digital health technologies. The interdisciplinary nature of their work allows them to address complex challenges in both technical and healthcare environments, positioning them at the forefront of intelligent systems development for improved human health and cybersecurity in medical data ecosystems.
Publications
Title: Broken authentication and session management vulnerability: a case study of web application
Year: 2018
Citation Count: 48
Title: Blockchain-based information security of electronic medical records (EMR) in a healthcare communication system
Year: 2021
Citation Count: 36
Title: Integration of blockchain and remote database access protocol-based database
Year: 2020
Citation Count: 14
Title: Modeling the role of C2C information quality on purchase decision in Facebook
Year: 2018
Citation Count: 13
Title: A cloud of things (CoT) approach for monitoring product purchase and price hike
Year: 2021
Citation Count: 10
Title: Identification of construction era for Indian subcontinent ancient and heritage buildings by using deep learning
Year: 2020
Citation Count: 10
Conclusion
Rafita Haque stands out as a capable and emerging researcher whose contributions span a wide range of impactful areas at the intersection of AI and healthcare technologies. Her academic qualifications, research output, teaching roles, and industry engagement present a holistic view of a scholar committed to advancing science and technology. With her current trajectory and a strategic focus on deepening her expertise and publication impact, she is well-positioned to become a leading figure in her field. Overall, she is a deserving candidate for the Best Researcher Award, particularly within the category of early-career researchers who are demonstrating exceptional promise and innovation in multidisciplinary research.