Prof. Qi Wang
University of Leicester
Professor Qi Wang is Professor in Autonomous Systems with the School of Computing and Mathematical Sciences, the University of Leicester, England, UK. He is a Voting Member of Europe’s 6G-IA. He has served as Board Member of the Technology Board of EU 5G-PPP, and Member of Scotland’s AI Strategy Working Group. He is Academic Member of ITU and ETSI. He was the Lead Editor of two ITU-T standards ITU-T Y.3182 and ITU-T Y.3183. His research interests include next-generation networking and visual communications, AI applications, and vertical use cases. He has over 250 publications in these areas. He is a Winner of six Best Paper Awards from international conferences. As the Director of Studies, he has successfully supervised 20 PhD students to have graduated in UK. He has line managed over 20 postdoctoral research fellows and research assistants. He has been a lead researcher in various nationally or internationally sponsored research projects, in collaboration with worldwide academic and industry partners. He has played various leading roles in numerous international and national projects with a total budget of around 100 million GBP. He was the Technical Co-Manager for EU Horizon 2020 funded projects SELFNET and SliceNet, and PI or Co-PI for a number of other funded projects such as EU Horizon Europe projects INCODE, RIGOUROUS, 6G-PATH and Agentic6G, EU Horizon 2020 projects 6G BRAINS, 5G INDUCE, and ARCADIAN-IoT, UK EPSRC projects "Enabler for Next-Generation Mobile Video Applications" and UK National Edge AI Hub, UK CENSIS projects Smart RPAS, Smart Crane, NG-RPAS, and UKRI SIPF project Digital Dairy Value-Chain for South West Scotland & Cumbria etc. He is the Winner of multiple UK national awards such as Winner of UK Times Higher Education Awards 2020 - Knowledge Exchange/Transfer Initiative of the Year Award, and Winner of Scotland Centre for Engineering Education & Development Industries Awards - Innovation Award 2020.
Speech Title: "Visual Communications and Use Cases in 5G and Beyond Networks "
Abstract: Visual communications play a critical role in the popular use cases such as video streaming, object or intruder detection, human verification, industry surveillance and maintenance, UAV-assisted systems, eXtended Reality etc. for a wide range of vertical businesses. Many of these visual communication use cases typically operate over 5G and beyond networks, featured with network and service softwarisation and virtualisation, edge computing, added or built-in AI or machine learning capabilities, among other technical innovations. This talk focuses on the advances in visual networking applications that leverage these network innovations whilst addressing the demanding use case requirements, based on a reflection of experiences from a number of selected recent and ongoing EU and UK funded projects. The technical challenges, system architectures, use cases, technical approaches and empirical results are presented in this context. Lessons learnt and a vision into the future are also outlined.