Short Bio
Evgeny is a Senior Expert in “AI methods for Semantic Digital Twins and Knowledge Graphs” at the Bosch Center for Artificial Intelligence and an Associate Professor at the University of Oslo. He was previously a Senior Research Fellow at the University of Oxford, a visiting researcher at the University of Edinburgh, and a researcher at the University of Bolzano and INRIA Saclay.
Evgeny does AI-centered research that aims at sustainable, circular, and smart manufacturing and centerred around topics of standardised, intelligent and data-driven production value-chain empowered with digital twins and IoT. His research in particular accounts for Semantic Technologies, ontologies, knowledge and cognitive graphs for symbolic representation and reasoning over manufacturing knowledge, for machine learning for processing of production data, and for their combinations in Neural-Symbolic AI methods.
Evgeny’s work led to 130+ publications including top tier venues such as NeurIPS, JIM, TODS, PVLDB, SIGMOD, IJCAI, AAAI, CIKM, and ISWC. His citation count at Google Scholar is about 3K. He won several prestigious awards including the best research and industrial applications papers at ESWC’20, ISWC’17, best demo at ISWC’15, and he is ranked as 18th among “AI 2000 Knowledge Engineering Most Influential Scholars” by AMiner.
Evgeny raised or participated in raising of about 3M EUR of research funding. He was in charge of several industrial collaborations of the University of Oxford and was in charge of or participated in several EU projects at the University of Oxford and Bosch (FP7, H2020) and of EPSRC and Royal Society projects at the University of Oxford.
Courses taught
- TBA
Awards
- 2020 ranked 18th of "AI 2000 Knowledge Engineering Most Influential Scholars" by AMiner
- 2020 ranked 40th of "AI 2000 Knowledge Engineering Most Influential Scholars" by AMiner
- 2020 Best research paper award at the ESWC’20 on Entity Summarization with User Feedback. Qingxia Liu, et al.
- 2017 Best in-use paper award at ISWC’17 on Semantic Rule-Based Equipment Diagnostics. G. Mehdi, E. Kharlamov, et al.
- 2016 Runner up for the best in-use paper award at ISWC’16 on Capturing Industrial Information Models with Ontologies and Constraints. E. Kharlamov, B. Cuenca Grau, E. Jimenez-Ruiz et al.
- 2015 Best Demonstration at ISWC’15 on Semantic Access to Siemens Streaming Data: the Optique Way. E. Kharlamov, et al.
- 2012 PhD thesis mention by AI*IA (Italian association for Artificial Intelligence). My PhD thesis was selected as one of the best 3 PhD theses in Italy in the area of Artificial Intelligence defended in 2011 – 2012.
- 2011 Visiting Researcher’s Grant: Computing Laboratory, Oxford University.
- 2009 2 years grant, funded by the Webdam project to work on probabilistic XML at INRIA Saclay and Telecom ParisTech in Paris.
- 2008 IBM Best Master’s Thesis Award for research in the area of Computational Logic. Given by IBM Center for Advanced Studies, Rome, Italy.
- 2006 Scholarship by the province of South Tyrol to excellent students: a one-off stipend given to the best students of the Free University of Bozen-Bolzano.
- 2004-06 European Union’s Erasmus Mundus Grant: 2 years EU grant within European Master’s Program in Computational Logic.
- 2002, 03, 04 Scholarship of Novosibirsk State University to excellent students: a one-off yearly stipend to the best students of Mathematical Department.
Appointments
- by email
Positions held
- Research Scientist at Bosch Center for Artificial Intelligence, Renningen, Germany
- Senior Research Fellow, Department of Computer Science, University of Oxford, UK
- Researcher at the Free-University of Bozen-Bolzano
- Researcher at INRIA Saclay, Paris