Imperial College London


Faculty of Natural SciencesDepartment of Mathematics

Professor of Statistics



+44 (0)20 7594 8837n.adams Website




544Huxley BuildingSouth Kensington Campus





Niall Adams is Professor of Statistics at Imperial College London. In addition to a variety of undergraduate and postgraduate teaching, he conducts research in classification, data mining, streaming data analysis and spatial statistics. Applications for this research are diverse, including bioinformatics, cyber-security  and retail finance.

Dr Niall Adams' personal web page can be found at




Other Significant Activities

Editorial panel for Applied Statistics,  Journal of the Royal Statistical Society Series C (2008-2012)

Editorial panel for Statistical Analysis and Data Mining (2009-2014)

Plenary Lectures

Ed: Big Data in Cyber-Security: Host-Based IP Flow Monitoring using Adaptive Estimation”, (invited keynote) SITA 13, 8th International Conference on Intelligent Systems: Theories and Applications, Rabat, Morocco, (2013)

“Efficient streaming classification methods”, (invited), German Classification Society, Karlshrue, Germany (2010). 

 “Temporally-adaptive linear classification for handling population drift in credit scoring”, (invited), COMPSTAT 2010, Paris, France (2010). 



Hogan J, Cohen EAK, Adams NM, Devising a fairer method for adjusting target scores in interrupted one-day international cricket, Electronic Journal of Applied Statistical Analysis, ISSN:2070-5948

Bodenham DA, Adams NM, 2017, Continuous monitoring for changepoints in data streams using adaptive estimation, Statistics and Computing, Vol:27, ISSN:0960-3174, Pages:1257-1270

Bakoben M, Bellotti A, Adams N, 2016, Improving clustering performance by incorporating uncertainty, Pattern Recognition Letters, Vol:77, ISSN:0167-8655, Pages:28-34


Evans LPG, adams N, anagnostopoulos C, When Does Active Learning Work?, Advances in Intelligent Data Analysis XII, ISSN:0302-9743

Schon C, Adams NM, Evangelou M, Clustering and monitoring edge behaviour in enterprise network traffic, IEEE International Conference on Intelligence and Security Informatics, IEEE

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