About Us

Home — Our Services — Our Technology — Past Projects — Demos — About Us — Contact Us

Our Team is composed of:

Dr. Alex Gammerman

Dr. Gammerman is Fellow of the Royal Statistical Society, British Computer Society and Royal Society of Arts. His current research interest lies in field of Algorithmic Randomness Theory and its applications to machine learning, the development of inductive/transductive confidence machines and intelligent data analysis.

Dr. Volodya Vovk

Dr. Vovk is Fellow of the Royal Statistical Society and a member of the Institute of Mathematical Statistics. His current research interest lies in field of Predictive and Kolmogorov complexity, algorithmic randomness, computer learning, foundations of statistics and probability and finance.

Dr. Alexey Chervonenkis

Dr. Chervonenkis received Russia's State Award, the highest in Russia, for his work in pattern recognition and application in gold mining. His current research interest lies in field of pattern recognition and computational learning.

Dr. Vladimir Vapnik

Dr. Vapnik was elected in 2006 to the National Academy of Engineering (NAE) of USA for "insights into the fundamental complexities of learning and for inventing practical and widely applied machine-learning algorithms". His current research interest lies in field of statistical learning theory and support vector machine.

Dr. Zhiyuan Luo

Dr. Luo is a Senior Research Fellow. He previously worked for Cable and Wireless as a Technical Consultant. His current research interest lies in field of probabilistic reasoning, distributed systems and agent-based computing and applications of these algorithms and techniques.

Selected Publications

V.Vovk, A.Gammerman, G.Shafer "Algorithmic Learning in a Random World", Springer, 2005.
V.Vapnik "Statistical Learning Theory", Wiley, 1998.