Professor Shabbir Syed-Abdul is an accomplished health informatics researcher with expertise in artificial intelligence and digital healthcare. His research focuses on the long-term care of older adults and the early prediction and management of chronic diseases such as cancer and chronic kidney disease. He is a professor at the Graduate Institute of Biomedical Informatics and a principal investigator at the International Center for Health Information Technology in Taipei, Taiwan. 
In addition to his roles as a physician and researcher, Professor Syed-Abdul has served as a principal investigator in both developed and developing countries, giving him a unique perspective on the factors that influence the development of sustainable healthcare, with a particular focus on innovation and aging populations.
Professor Syed-Abdul is a member of the social media Working Group at the International Medical Informatics Association and the Scientific Program Committee of the Asia-Pacific Association for Medical Informatics. He has been actively involved in a number of projects, including a mobile teledermatology project using smartphones in resource-poor settings in developing countries, an open personal health record project, and several European Commission-funded H2020 projects.

Prof. Shabbir has an excellent track record of accomplishing projects and publishing over 130 articles in the SCI prestigious journals including The Lancet, BMJ, JAMIA, and Journal of Medical Internet Research. He is a regular invited speaker on a broad range of topics on Clinical decision support systems, Innovation, Digital Health, AI & Machine Learning in Health. He chairs, moderates, and serves on the program committee at numerous national and international conferences. He is also a consultant for the Health IT industry, and guest editor of 3 SCI journals. 
His major research interests include artificial intelligence, big data analysis and visualization, long-term care with wearable technologies, mHealth, personal health records, social networks in healthcare, and hospital information systems. Through his work, he aims to empower care providers and improve patient engagement and empowerment, with a focus on the management and flow of health and medical information among healthcare providers and seekers. 
Patents
• TW Patent #. M 409487. Mobile Personal Health Record System
• US Patent# 20150356272 Prescription Analysis System And Method For Applying Probabilistic Model-Based On Medical Big Data
• US Patent# US20180360346A1 Electronic incentive spirometer

The International Center for Health Information Technology(ICHIT) is a leading center who have demonstrated the excellence in cutting-edge research in the utilization of ICT in the healthcare. Our focus is 4P medicine (Prediction, Prevention, Participation, and Personalization). We work closely with our teaching hospitals and practice translational medicine to the best knowledge. We formed a multidisciplinary team consisting of experts from Biomedical informatics, Data mining, Natural Language Processing, and Social Networking experts, Consultants from Neurology, Cardiology, Nephrology, and Dermatology, Physicians, Nurses and medical technologists. We are mainly focusing on translational research in HIT (Health Information Technology).

In this context, we can offer you design as well as functional analysis of the software, business, and processes analytics, and integration of heterogeneous e-Health and m-Health systems through a common open platform.

Health IoT The Internet of Things is a concept in which more devices (sensors/things) will be communicating across the Internet than human users. Explore technologies that collect both clinical and lifestyle data to track compliance with care plans, assess the role of wearable technology in improving outcomes for chronic and acute conditions for patients.

Telemedicine & mHealth The mHealth + Telehealth technologies brings together hospitals, policy makers, and innovators to discuss the future of connected health. It bridge the gap between rural health seekers with urban health providers.

Big Data Analytis & Visualization Data visualization is the presentation of data in a pictorial or graphical format. Converting millions of data points into one graph or map for easy understanding. The potential healthcare benefits are immense, and data governance best practices can be used to help ensure a safer and quality care.

e-Learning & Medical Education Distance learning refers to use of technologies based on health care delivered on distance and covers areas such as e-health, telematics, telemedicine, tele-education, etc. Explore the various technologies and communication systems for the need of e-health, telemedicine, e-Learning or tele-education.