As artificial intelligence continues to reshape healthcare and other critical sectors, doctoral researcher Rowsan Jahan Bhuiyan is contributing to this transformation through research focused on artificial intelligence, machine learning, predictive analytics, and intelligent healthcare systems. With an academic background in Computer Science and Engineering, Bhuiyan is dedicated to developing innovative solutions that improve healthcare outcomes and support data-driven decision-making to early detection of cancer.
Currently pursuing a Doctor of Computer Science degree at the University of the Potomac, Bhuiyan's research centers on the application of artificial intelligence in healthcare diagnostics, disease prediction, and clinical decision support systems. Her work aims to leverage advanced computational methods to address pressing healthcare challenges and improve patient care.
Further advancing healthcare innovation, Bhuiyan developed a patent titled “AI-Driven Clinical Decision Support and Public Health Intelligence System for Predictive Healthcare Management.” The system integrates artificial intelligence and predictive analytics to help healthcare providers anticipate health risks, support accurate and timely clinical decision-making, and improve patient outcomes through data-driven insights. Its key benefits include improved early detection of diseases, more efficient allocation of healthcare resources, reduced medical errors, and optimized treatment planning, ultimately contributing to more effective and data-driven healthcare delivery.
Among her notable research contributions is the study, “Evaluating Machine Learning Algorithms for Breast Cancer Detection: A Study on Accuracy and Predictive Performance.” Given that breast cancer remains one of the most prevalent cancers affecting women in the United States, this research advances AI-based approaches for early and accurate detection. By improving diagnostic accuracy and enabling timely treatment, the study has the potential to enhance patient outcomes, reduce healthcare costs, and support the nation's ongoing efforts in precision medicine and cancer care.
She received a Best Paper Award for her research paper titled “Evaluating Machine Learning Algorithms for Breast Cancer Detection: A Study on Accuracy and Predictive Performance.”
Bhuiyan has also contributed to lung cancer prediction research through her paper, “Comparative Analysis of Machine Learning Techniques for Accurate Lung Cancer Prediction.” As lung cancer remains a leading cause of cancer-related deaths in the United States, this study evaluates and compares machine learning algorithms to improve early detection and diagnostic precision. The research supports advancements in AI-driven healthcare, precision medicine, and clinical decision-making, with the potential to strengthen cancer screening programs and improve public health outcomes nationwide.
Her scholarly work has been published in recognized academic venues, including Institute of Electrical and Electronics Engineers (IEEE) Journal and The American Journal of Engineering and Technology, where she has explored the application of artificial intelligence to healthcare challenges. Her research emphasizes practical, scalable, and ethical AI solutions capable of addressing complex societal needs.
Bhuiyan has actively disseminated her research findings at international academic forums, presenting her work at IEEE conferences in countries including Thailand and India. Through these presentations, she has contributed to global discussions on artificial intelligence, machine learning, and healthcare innovation while fostering international research collaboration and knowledge exchange.
She is also a member of the editorial board of the Journal of Computer Science and Information Technology (JCSIT) and serves as a reviewer of submitted manuscripts, contributing to the peer-review process by evaluating research quality, ensuring academic rigor, and supporting the advancement of scholarly work in the field.
Beyond her academic research, Bhuiyan is actively involved in professional and community service initiatives. She is a member of the Institute of Electrical and Electronics Engineers (IEEE) and is affiliated with the International Federation of Red Cross and Red Crescent Societies (IFRC). Her service activities include participation in disaster relief efforts through the Red Cross, volunteer work with the Rover Scout movement, and initiatives that promote educational opportunities for underserved children. In addition, she serves as a registered volunteer at the Oceanside Family Success Center, which provides family support services, resource coordination, and community-based programs in New Jersey. These efforts help strengthen community resilience, promote civic engagement, support educational advancement, and enhance social well-being, making meaningful contributions to communities across the United States as well as globally. Her commitment to service demonstrates a dedication to using knowledge, innovation, and community engagement to create a positive impact for society both nationally and worldwide.
Rowsan Jahan Bhuiyan’s contributions to artificial intelligence and healthcare demonstrate a strong commitment to innovation, research, and public service. Through her work in cancer detection, predictive healthcare systems, and community engagement, she is helping advance AI-driven solutions that can improve patient care and healthcare outcomes. Her research, innovation, and dedication to service position her as a promising contributor to the future of healthcare technology and societal well-being.
Rowsan Jahan Bhuiyan
Doctoral Researcher, Department Of Computer Science
University of the Potomac, United States
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