Yushan Siriwardhana
University of Oulu
MSc
University of Oulu
I am currently a Doctoral researcher in the Network Security, Trust and Privacy research group, at CWC Networks and Systems research unit, University of Oulu, Finland. I received my bachelor’s degree in electronics and telecommunication engineering from the University of Moratuwa, Sri Lanka, in 2009 and the master’s degree in wireless communications engineering from the University of Oulu, Finland, in 2019. I have over four years reaserch experience in CWC, University of Oulu and I have over 7 years of experience in telecommunication industry. My research interests include 5G & 6G, Local 5G and future networks, Federated Leaning, AI based Security, and Security for AI in distributed networks.
Publications
Robust and Resilient Federated Learning for Securing Future Networks
Machine Learning (ML) and Artificial Intelligence (AI) techniques are widely adopted in the telecommunication industry, especially to automate beyond 5G networks. Federated Learning (FL) recently
Federated Learning based Anomaly Detection as an Enabler for Securing Network and Service Management Automation in Beyond 5G Networks
Network automation is a necessity in order to meet the unprecedented demand in the future networks and zero touch network architecture is proposed to cater
AI and 6G security: Opportunities and challenges
While 5G is well-known for network cloudification with micro-service based architecture, the next generation networks or the 6G era is closely coupled with intelligent network
The role of 5G for digital healthcare against COVID-19 pandemic: Opportunities and challenges
COVID-19 pandemic caused a massive impact on healthcare, social life, and economies on a global scale. Apparently, technology has a vital role to enable ubiquitous
A survey on mobile augmented reality with 5G mobile edge computing: architectures, applications, and technical aspects
The Augmented Reality (AR) technology enhances the human perception of the world by combining the real environment with the virtual space. With the explosive growth
Performance analysis of local 5G operator architectures for industrial internet
5G calls for a network architecture that ensures ultraresponsive and ultrareliable communication links, in addition to the high degree of flexibility and customization required by
Local 5g operator architecture for delay critical telehealth applications
Machine Learning (ML) and Artificial Intelligence (AI) techniques are widely adopted in the Network softwarization enables the novel concept of Local 5G Operator (L5GO) networks,
The fight against the COVID-19 pandemic with 5G technologies
The coronavirus disease (COVID-19) pandemic has affected the world in an unexpected manner. The human race is battling against the pandemic while schools, universities, industries,
Micro-Operator driven Local 5G Network Architecture for Industrial Internet
In addition to the high degree of flexibility and customization required by different vertical sectors, 5G calls for a network architecture that ensures ultra-responsive and