Dr Jari Korhonen

Biography

I am an experienced researcher in computer science, specialised in multimedia technologies and Quality of Experience (QoE) in particular. I received my MSc degree in information engineering at University of Oulu, Finland, in 2001, and PhD in telecommunications and signal processing at Tampere University of Technology, Finland, in 2006. In my early career, I worked as a Research Engineer at Nokia Research Center, Tampere, Finland, from 2001 to 2006, before moving to academia. Before joining the University of Aberdeen, I was working at Shenzhen University, China, from 2017 to 2022.

My past research experience covers both telecommunications and signal processing aspects of multimedia communications. My current research focus primarily on visual quality assessment, and I have contributed to several models for predicting perceived image and video quality directly from the signal. As a part of this work, I have been principal investigator (PI) for a project funded by National Natural Science Foundation of China (NSFC) from 2018 to 2021. Most recently, I have studied deep learning techniques applied to visual quality assessment, as well as other related computer vision problems.

In addition to my research work, I have experience of teaching several courses in the fields of visual communications, signal processing, and telecommunications. I have also supervised and co-supervised several student projects at BSc, MSc and PhD levels. 

External Memberships

• IEEE Member

Funding and Grants

• National Natural Science Foundation of China (NSFC) Grant 61772348: "Quality assessment for consumer video applications," 2018-21 (Shenzhen University).

Teaching Responsibilities

• JC2002 Java Programming (SCNU Joint Institute, 2022, 2023)
• JC4004 Computational Intelligence (SCNU Joint Institute, 2024)
• JC2503 Web Application Development (SCNU Joint Institute 2023, 2024)