Ms. Rafita Haque | Cardiovascular Pharmacology | Best Researcher Award
PhD Student at Florida International University | United States
Ms. Rafita Haque is a dedicated PhD candidate in Computer and Electrical Engineering at Florida International University, USA. With a strong academic and research background in AI, biomedical sensors, and data security, she is passionate about advancing digital health solutions. Her teaching and research experiences span universities in Bangladesh and the U.S., with significant industry exposure in software quality assurance. She has authored several indexed publications, received international awards, and holds active research interests in cardiovascular health monitoring using signal analysis and intelligent systems. Ms. Haque’s career is a blend of academic excellence, innovative research, and practical engineering application.
Publication Profile
Google Scholar
Orcid
Education
Ms. Haque is pursuing a PhD in Computer and Electrical Engineering at Florida International University, Miami, with a research focus on AI, biomedical devices, and cardiovascular health management. She holds a Master’s degree in Software Engineering from Daffodil International University, where her thesis explored C2C information quality in Facebook-based purchase decisions. She completed her B.Sc. in Computer Science and Engineering from Gono Bishwabidyalay, focusing on network security systems. Her academic training reflects a strong foundation in data analysis, security, and AI-driven healthcare technologies, supported by hands-on research and multiple technical certifications in networking and development.
Experience
Ms. Rafita Haque has rich academic and industry experience. She served as a lecturer in Software Engineering at Daffodil International University and in Computer Science at the Asian University of Bangladesh, teaching core computing and system design courses. She also worked as an SQA Engineer at Data-Soft Systems and Cloud Production Ltd., where she tested and improved AML solutions for the banking and insurance sectors. Her work involved ASP.NET, MySQL, Python, and NoSQL. She’s recognized for developing secure network systems and cloud-based tools, blending teaching excellence with real-world software and systems engineering experience.
Awards
Ms. Rafita Haque has earned multiple academic and professional honors. She received the Best Paper Award (IoT Track) at the 1st International Conference on Technology Innovation and Data Sciences (ICTIDS) in Malaysia, 2019. She also won the Best Project Award at Gono Bishwabidyalay’s Project Fair (2015) for her secure network system. Additionally, she presented her research at the Blockchain Olympiad Bangladesh (BCOLBD) in 2020. Her outstanding academic track and publication record in Scopus and Springer-indexed journals, alongside her active participation in international conferences, underscore her contributions to technology, cybersecurity, and healthcare innovation.
Research Focus
Ms. Haque’s research interests include Artificial Intelligence (AI), Biomedical Sensors, Photoplethysmogram (PPG) signal analysis, data security, and cardiovascular health management systems. Her work integrates machine learning with optical and biomedical systems to create intelligent diagnostic tools. She is particularly focused on AI-based monitoring of cardiovascular conditions, secured health data exchange using blockchain, and real-time signal analysis. Her multidisciplinary expertise bridges computer science with healthcare innovation, emphasizing secure, smart systems that support precision medicine. Through cutting-edge publications and collaborative research, she aims to advance smart biomedical technologies and secure healthcare data infrastructures globally.
Publication Top Notes
Broken authentication and session management vulnerability: a case study of web application
Journal: International Journal of Simulation Systems, Science & Technology
Cited by: 48
Year: 2018
Blockchain-based information security of electronic medical records (EMR) in a healthcare communication system
Cited by: 36
Year: 2021
Integration of blockchain and remote database access protocol-based database
Cited by: 14
Year: 2020
Modeling the role of C2C information quality on purchase decision in Facebook
Cited by: 13
Year: 2018
A cloud of things (CoT) approach for monitoring product purchase and price hike
Cited by: 10
Year: 2021
Identification of construction era for Indian subcontinent ancient and heritage buildings by using deep learning
Cited by: 10
Year: 2020
Performance Analysis of Different Feature Detection Techniques for Modern and Old Buildings
Cited by: 9
Year: 2018
A study of Ajax template injection in web applications
Cited by: 9
Year: 2018
A Combined Model of Blockchain, Price Intelligence and IoT for Reducing the Corruption and Poverty
Cited by: 8
Year: 2018
Digital Certificate Forgery Prevention Using Blockchain Technology
Year: 2023
Deep long short-term memory (LSTM) network for continuous blood pressure monitoring
Year: 2025
Cited by: 1
An Ensemble-Based AI Approach for Continuous Blood Pressure Estimation in Health Monitoring Applications
Journal: Sensors
Year: 2025
Conclusion
Ms. Rafita Haque is a promising early-career researcher with significant accomplishments in AI, biomedical applications, and information security. Her interdisciplinary focus, hands-on industry experience, academic excellence, and publication record collectively position her as a strong candidate for the Research for Best Researcher Award. With further engagement in high-impact, independently led projects and global research forums, she is poised to emerge as a future leader in her field.