Summary
Zifeng Niu received the BSc (Hons) and MSc degrees in Mathematics with Applied Mathematics and Computing (Artificial Intelligence and Machine Learning) from the University of Nottingham and Imperial College London, in 2019 and 2020 respectively. He is currently pursuing the PhD degree with the supervision of Giuliano Casale at the Department of Computing. His research focuses on performance modelling, cloud computing, machine learning and operations research.
Publications
Conference
Niu Z, Casale G, 2022, A Mixture Density Network approach to predicting response times in layered systems, IEEE MASCOTS 2021, IEEE, Pages:1-8
Casale G, Gao Y, Niu Z, et al., LN: a meta-solver for layered queueing network analysis, International Conference on Quantitative Evaluation of SysTems (QEST 2022), Springer, ISSN:0302-9743