6th EAI International Conference on Robotic Sensor Networks (EAI/Springer Innovations in Communication and Computing)

This book presents the proceedings of the 6th EAI International Conference on Robotics and Networks 2022 (ROSENET 2022). The conference explores the integration of networks and robotic technologies, which has become a topic of increasing interest for both researchers and developers from academic fields and industries worldwide. The authors posit that big networks will be the main approach to the next generation of robotic research, with the explosive number of networks models and increasing computational power of computers significantly extending the number of potential applications for robotic technologies while also bringing new challenges to the networking community. The conference provided a platform for researchers to share up-to-date scientific achievements in this field. The conference took place at Swansea University, Wales, Great Britain.

Dr. Dunhui Xiao is a professor at Tongji University (Shanghai, China). He obtained his PhD from Imperial College London where he did his Post-doc.  His research interests include numerical modelling with a focus on non-intrusive reduced-order modellingof Navier-Stokes equations, fluid-structure interactions, and multiphase flows in porous media. He is also interested in data-driven modelling, data science, physical data combined machine learning and optimisation. He is a PI of a number of grants including EPSRC. He sits on the editorial boards for a number of journals and he is the reviewer for many journals and the EPSRC grants. 

 Dr. Xinwei Cao received the bachelor's degree from Shandong University, Jinan, China, 2009, the master's degree from Tongji University, Shanghai, China, in 2012, and the Ph.D. degree from Fudan University, Shanghai, China, in 2017, all in management. She is currently a full Professor with Jiangnan University, Wuxi, China. Her research interests include operations research, operational management, computational and quantitative finance, empirical asset pricing, and financial market.