The people behind the work.

Abdullah Al Noman is a researcher and engineer specializing in medical technology and digital healthcare solutions. He completed his Bachelor’s degree in Electrical and Electronics Engineering (EEE) from North South University, where he excelled academically and served as a Teaching Assistant and Lab Instructor, gaining experience in system design and troubleshooting.

Currently, Abdullah is pursuing advanced studies at Kyushu University, in Japan. His research focuses on developing an AI-Spectroscopy-Based Non-Invasive Device for Platelet Count Measurement, a cutting-edge solution aimed at revolutionizing diagnostic healthcare. His work explores the integration of spectroscopy and artificial intelligence to create affordable, non-invasive medical devices, with a particular focus on improving accessibility in resource-limited regions.

Ijomah Remijus Chukwunwike is a passionate engineer and self-driven researcher from Nigeria, specializing in medical technology and digital healthcare solutions. He earned his Bachelor's degree in Computer Science from Nnamdi Azikiwe University, Awka, Nigeria, and later worked as the lead frontend engineer at a fintech company focused on digital banking platforms.

He has strong proficiency in React.js , Next.js , TypeScript , and Tailwind CSS , with extensive experience translating complex Figma designs into accessible, responsive user interfaces across various devices and browsers. He is also skilled in consuming RESTful APIs , enabling seamless integration between frontend interfaces and backend systems.

Mr. Prajat Paul is currently a Doctoral Student at the Graduate School of Information Science and Electrical Engineering at Kyushu University, Japan. He pursued his undergraduate education at the National Institute of Technology Durgapur (India), majoring in Electronics and Communication Engineering under the ICCR scholarship provided by the Government of India. His current research endeavors at the SocialTech Lab are being supported by the Monbukagakusho (MEXT) Scholarship funded by the Government of Japan.

Mr. Paul’s research aims to explore the implementation of a speech-based healthcare information extraction system as a supplementary module of the conventional Electronic Health Record (EHR) system. Focusing on low-resource languages (LRLs), specifically Bangla, this system aims to assist people with text illiteracy by extracting and classifying important medical information from spoken language. The goal is to create more comprehensive EHRs, leading to improved healthcare efficiency and offering doctors predictive support for clinical decision-making.

Mr. Shah recently started as a PhD student at Kyushu University's Graduate School of Information Science and Electrical Engineering. He earned his Bachelor's Degree in Computer engineering from the University of Mumbai (India). Mr. Shah's research interests are on investigating the use of Machine Learning and Artificial Intelligence in the creation of Digital Healthcare Systems. His current research focuses on the use of developing algorithms to interpret audio data and understand medical problems, as well as provide individualized medical prescriptions to improve the quality and reach of healthcare services. He aims to work with machine learning and data science techniques to provide clinicians with a reliable set of eyes and assist them in making informed judgments.

Bilal has joined as a research student at the Graduate school of Information Science and Electrical Engineering at Kyushu University. Before joining he completed his Masters in Engineering Management and Undergraduate in Electrical Engineering at the Center for Advanced Studies in Engineering, University of Engineering Technology, Taxila (Pakistan). Bilal's research interests include the development and implementation of a unified UI/UX design scheme for digital health systems that is able to overcome the common issues in the usability of digital health applications. UI/UX design is the most ignored aspect of healthcare delivery applications in general and makes it hard to use for both patients and caregivers. He aims to research groups that are not focused on such as the elderly and explore the use of machine learning to create tools that can make the process easier for developers.

Jobayer is a passionate researcher from Bangladesh, with a strong focus on the intersection of healthcare, Artificial Intelligence (AI), Machine Learning (ML), Augmented and Virtual Reality (AR/VR), and Digital Twin technologies. Driven by a deep interest in transforming healthcare systems, He explores how emerging technologies can enhance patient care, improve medical outcomes, and streamline healthcare delivery. With a keen eye for technological advancements, Jobayer is dedicated to advancing research in these cutting-edge fields, leveraging AI, AR/VR, and Digital Twin models to create impactful solutions for the healthcare industry.

WANG WANQING is currently a research student at Kyushu University. She obtained her bachelor's degree in Computer Software Engineering from the School of Software Engineering at Beijing University of Posts and Telecommunications in China. She specializes in C and Java.

Before entering Kyushu University, WANG WANQING participated in a project and published a review paper titled "Garbage Image Classification based on Deep Learning" in the Proceedings of the 2023 International Conference on Data Science, Advanced Algorithm, and Intelligent Computing (DAI 2023).