Dr. Yike Guo is a professor in computing science in the Department of Computing, Imperial College London. His research is in the areas of large scale scientific data analysis , data mining algorithms and applications, e-science and cloud computing. He graduated in Computer Science from Tsinghua University of China and has a PhD in Computational Logic and Declarative Programming at Imperial College London. During his PhD study, he was one of the founding members of the field studying uniform declarative programming by integrating functional and logic programming languages. Later, his work on functional coordination forms established a foundation for structured parallel programming. Dr. Yike Guo has been working in the area of data intensive analytical computing since 1995 when he became the Technical Director of Imperial College Parallel Computing Centre. During last 15 years, he has been leading the data mining group of the department to carry out many research projects, including some major UK e-science projects such as: Discovery Net on Grid based data analysis for scientific discovery; MESSAGE on Wireless mobile sensor network for environment monitoring; BAIR on System biology for diabetes study; iHealth on modern informatics infrastructure for healthcare decision making; UBIOPRED on large informatics platform for translational medicine research; Digital City Exchange on sensor information-based urban dynamics modelling. He has been focusing on applying data mining technology to scientific data analysis in the fields of life science and healthcare, environment science and security. He is the Principal Investigator of the Discovery Science Platform grant from UK EPSRC where he is leading the team to build the IC Cloud system for large scale collaborative scientific research. He had rich experience in commercialisation of advancedIT technology. He is the founder and had been the CEO of InforSense Limited for 9 years InforSense Limited , an Imperial College spin-out company on enterprise platform for business and scientific intelligence.
Data Mining Algorithms
Large Scale Applications of Scientific Data Analysis in:
Structured Parallel Software Engineering: Using Functional Co-ordination Forms for Building Massively Parallel Applications