Dr. Kaviya Elakkiya

Talk Title:

Towards Objective Diagnosis in Healthcare utilizing Machine Learning and Deep Learning

Abstract: The rapid growth of healthcare data ranging from medical imaging, biomedical signals, electronic health records and other digital health technologies has created significant opportunities for Artificial Intelligence (AI) to support clinical decision-making. However, transforming voluminous, complex and heterogeneous healthcare data into reliable insights is highly demanding till date. Though machine learning techniques are incorporated to offer objective diagnosis, deep learning plays a crucial role in handling high-dimensional biomedical images. The proposed talk explores the evolving role of AI and data-driven computing in intelligent healthcare emphasizing on machine learning, deep learning, biomedical signal and image analysis, and soft computing techniques. The talk will also discuss how AI models can learn meaningful patterns from high-dimensional biomedical data and aids in screening, diagnosis and prognosis of diseases in addition to treatment. Selected research experiences involving neuroimaging and AI-based healthcare applications will be used to illustrate the opportunities and challenges associated with developing intelligent systems for real-world medical settings.

Biography: Dr. Kaviya Elakkiya received her B.E., M.E. and Ph.D. degrees in Computer Science and Engineering from Anna University Chennai, Tamil Nadu, India. She is an Assistant Professor in the Institute of Computer Science and Digital Innovation (ICSDI), UCSI University, Kuala Lumpur, Malaysia. She had been with the School of Computer Science and Engineering (SCOPE), Vellore Institute of Technology (VIT) Chennai, Tamil Nadu, India. She holds two Indian Patents and two Indian Copyrights. She has won the First Prize and got Cash Award in IISF 2018 under Make in India category for the invention of Naadi Parisothanai Device from the Government of India. She has published research articles in reputed Q1 journals with high impact factor. She has published research papers in National and International Conferences. She has received funding under the Scientific and Engineering Research Board – International Travel Support (SERB-ITS) scheme from the Government of India under Young Women Scientist to present her research article in the International Conference at Melbourne, Australia in 2024. She has published a book chapter in Elsevier. She has delivered numerous hands-on training and guest lectures in various national and international events. She has won many national and international awards. She has also applied technology in public sectors like Tirunelveli, Thootukudi and Kancheepuram City Corporation in Tamil Nadu, India. She is a reviewer of textbooks in renowned international publishers like Oxford. She is a member of IEI. Her research interests include Biomedical Signal and Image Processing, Machine Learning, Deep Learning, Cyber Forensics and Cyber Security.