Immersive scenarios in the medical field include extended reality (XR) assistance during surgeries and medical examinations. In the doctoral dissertation, MSc Daria Alekseeva focuses on the effective utilization of AI techniques to improve the performance of XR-assisted surgery.
"Telemedicine has emerged as an integral component of healthcare solutions. Thus, the XR sector is poised to gain prominence in healthcare, offering diverse applications that promise to redefine patient care and medical practices," says Alekseeva.
Her research explores the current challenges in XR and potential solutions for implementing machine learning (ML) models within communication and computing paradigms relevant to healthcare and emergency services.
"Leveraging immersive and interactive experiences could improve diagnostics, treatment, and overall healthcare services,” she adds.
MSc Daria Alekseeva's doctoral dissertation contains of five papers published in recognized academic venues.
Public defence on Friday 22 November
The doctoral dissertation of MSc Daria Alekseeva titled Learning-based Strategies for Improved Computing and Communications will be publicly examined at the Faculty of Information Technology and Communication Sciences at Tampere University, Hervanta campus, in the auditorium TB109 of Tietotalo building (Korkeakoulunkatu 1, Tampere) on Friday 22 November 2024 at 12.00. The Opponent will be Assistant Professor, D.Sc. (Tech.) Roberto Morabito from EURECOM – Communication Systems, France. The Custos will be Professor, Dr.Tech. Elena Simona Lohan from Tampere University, Finland. The work has been co-supervised by Senior Research Fellow, D.Sc. (Tech.) Aleksandr Ometov from Tampere University, Finland.