Dr Weiren Yu is a Lecturer (Assistant Professor) of Computer Science in the School of Engineering and Applied Science at Aston University. He is also an Honorary Research Fellow at Imperial College London. Before joining Aston, he was a postdoc at Imperial College London, collaborating with NEC Europe for “Big Data Technologies for Smart Water Systems” Project. He got his PhD degree in 2014 from University of New South Wales (UNSW), Australia. In 2010-2014, he was a research assistant in Commonwealth Scientific and Industrial Research Organisation (CSIRO), and National ICT Australia (NICTA).
Weiren’s research spans web search and information retrieval, graph data management, social networks, data mining and scalable analytics, sensors and IoT, stream databases, and spatial / temporal databases. He is interested in developing effective and efficient data analysis techniques for novel data intensive applications. He received three Best Paper Awards, two CiSRA (Canon Information Systems Research Australia) Best Paper Awards, a One of the Best Papers of ICDE 2013, and a Best Student Paper Award.
He has served on various editorial boards, and as PC and an active reviewer of journals (e.g., IEEE Transactions on Knowledge and Data Engineering, The VLDB Journal, IEEE Transactions on Information Forensics and Security, ACM Transactions on Knowledge Discovery from Data, World Wide Web Journal, Sensors) and conferences (e.g., SIGIR, SIGMOD, VLDB, ICDE, EDBT, CIKM). He is a Fellow of HEA, and a Member of ACM and IEEE.
We have multiple PhD openings (£15,000/year stipend + £2,000 travel grant) in the areas of big data management, graph databases, web search, and cloud computing. Students with the above interests are welcome to contact me.
(Application deadline: open until filled)
My teaching covers a range of modules at different levels:
I have been supervising a number of placement students:
Final-Year Projects (FYP) Supervision
I am also mentoring a number of undergraduates for their FYPs.
I am the supervisor of the following PhD students: