About
Alexander Belikov leads the Data Science team at Hello Watt, Paris.
Interests
- Knowledge Graphs
- Complex Networks
- Computational Linguistics
- Non-Intrusive Load Monitoring
Education
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PhD, Physics, 2011
University of Chicago
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MSc, Applied Mathematics and Physics, 2005
Moscow Institute of Phyiscs and Technology
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BSc, Applied Mathematics and Physics, 2003
Moscow Institute of Phyiscs and Technology
Recent Posts
Pros and Cons of casting Web of Science into a graph database
We live in an era of accelerating data generation. The sizes of datasets keep growing and so does their structure. Despite the continuously growing capacity of computers real-world datasets surpass the limits of in-memory processing of even larger commercially available computers, and so data manipulation and analysis has to be aided by the use of databases.
Recent Publications
Prediction of robust scientific facts from literature
The growth of published science in recent years has escalated the difficulty that human and algorithmic agents face in reasoning over …
Data on How Science Is Made Can Make Science Better
Science is an engine of innovation and economic growth and a pathway to prosperity for countries around the world. The increasing …
Domain Knowledge Aids in Signal Disaggregation; the Example of the Cumulative Water Heater
In this article we present an unsupervised low-frequency method aimed at detecting and disaggregating the power used by Cumulative …
Experience
Researcher
University of Chicago
- Modeling consensus in science
Recent & Upcoming Talks
Contact
- abelikov [at] gmail [dot] com
- 48 rue René Clair, Paris, France