معرفی
Jarutas Andritsch is a Lecturer in Computing at Solent University, affiliated with the Science and Engineering Research Group and Solent Computing and AI. She holds a PhD from the University of Southampton (2014). Her research focuses on leveraging AI and data science for healthcare enhancement, including projects like MSTAC (COVID-19 chest X-ray classification), an AI-driven chest X-ray screening initiative funded by the Global Challenges Research Fund, and tele-rehabilitation systems for osteoarthritis patients. She also explores data analytics in healthcare and education, such as flooding incident monitoring via Twitter data and inclusive programming pedagogy.
Education initiatives include enhancing student performance through collaborative learning approaches, inquiry-based methods for non-STEM students, and content co-creation for novice programmers. She serves on a consultancy committee for the Royal College of Radiologists in Thailand, advising on AI procedures. Her work spans AI applications in cybersecurity (e.g., phishing detection via digital twins), healthcare analytics (cardiovascular ICU prediction), and fitness technology (personalized feedback via computer vision).
Notable contributions include peer-reviewed publications on AI-driven healthcare solutions and education strategies, reflecting her dual focus on technological innovation and inclusive pedagogical practices. She actively collaborates on interdisciplinary projects, blending machine learning, computer vision, and educational theory to address real-world challenges.