AI and Medical Sensors for Healthcare

Dr. Sanjib Raj Pandey is an experienced computer and interoperability specialist dedicated to generating innovative ideas and formulating practical solutions to complex healthcare and other challenges. After completing his PhD in London, UK, he began his career at the NHS as a senior integration engineer, software developer, and research associate, focusing on the design and development of automation and advanced healthcare applications.

With over 14 years of experience, Dr. Pandey has taught computing and IT modules, from Level 3 to Master’s level, at several colleges and universities across London. He actively participates in both academic and industry research, with interests that include health science data, clinical decision support systems, fuzzy and temporal logic, AI, machine learning, automation systems, and case-based reasoning. Dr. Pandey's primary focus is on leveraging AI in health informatics and healthcare delivery systems. He is highly motivated to design and develop AI-based clinical decision support systems for developing countries, with a strong emphasis on knowledge transfer. He has authored and successfully published research papers in various international conferences and journals. Additionally, he serves as a reviewer for international conferences.

Dr. Pandey received the Best Refereed Application Paper Award for his PhD research at the AI-2015 Thirty-fifth SGAI International Conference on Artificial Intelligence, held in Cambridge, UK, from December 15–17, 2015. This award, comprising a trophy, certificate, and cash prize, recognized his work titled “Development of a Temporal Logic-Based Fuzzy Decision Support System for Diagnosis of Acute Rheumatic Fever/Rheumatic Heart Disease.

Dr. Mahdi Maktabdar Oghaz is a Senior Lecturer at Anglia Ruskin University, with over 15 years of research experience in AI and computer vision applications in healthcare and sustainability. He has authored over 35 articles in esteemed journals and conferences within the AI and computer vision domain, has reviewed numerous articles for relevant scientific journals, and chaired and organised several national and international conferences and workshops. Dr. Mahdi Maktabdar Oghaz embarked on his career as a postdoctoral researcher at the University of Technology Malaysia (UTM), contributing to a research project sponsored by Cyber Security Malaysia and the Ministry of Higher Education Malaysia. This endeavour aimed to enhance safety and security in cyberspace through AI and machine learning techniques. Subsequently, he joined Kingston University London's ROVIT research team to participate in the H2020 MONICA project, which focuses on enhancing crowd safety and security in large-scale outdoor events using video analytics, AI, and computer vision. In 2019, he advanced his career to Senior Lecturer at the School of Computing and Information Science, Anglia Ruskin University. Throughout his research journey, Dr. Mahdi Maktabdar has successfully published numerous articles in various international journals and conferences and secured a number of QR research funds on topics like AI applications in healthcare and sustainability.