Dmitry is a Ph.D. student at the Lappeenranta University of Technology. The goal of his work is to bridge the gap between human and machine intelligence. His research is focused on gathering and enhancing knowledge bases using crowdsourcing and natural language processing. For that, he designs hybrid human-machine systems that benefit from both human contribution and machine learning, and develops formal methods to model and study the role of the human in such systems. In LUT, particularly, he is focused on the empirical investigation of the relationship between user convenience and task difficulty in microtasks.

Previously, he has been funded by the Russian Foundation for Basic Research, the Deutscher Akademischer Austauschdienst, the Russian Foundation for the Humanities as well as has been recognized by the Sverdlovsk Region Governor Prize for Young Scientists, the President of Russia Scholarship, the Microsoft Azure for Research Award, and the Best Graduate Award of the Ural Federal University.

His recent publications are:

  • Ustalov, D., Panchenko, A., Biemann, C.: Watset: Automatic Induction of Synsets from a Graph of Synonyms. In: Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Vancouver, Canada, Association for Computational Linguistics (2017) 1579–1590
  • Panchenko, A., Ustalov, D., Arefyev, N., Paperno, D., Konstantinova, N., Loukachevitch, N., Biemann, C. In: Human and Machine Judgements for Russian Semantic Relatedness. Springer International Publishing, Cham (2017) 221–235
  • Sukhopluev, I., Ustalov, D.: An Adaptive Web Interface for Microtask-Based Crowdsourcing. In: Proceedings of Artificial Intelligence and Natural Language AINL FRUCT 2016 Conference. (2016) 114–116

The list of his published papers is available on Google Scholar. He serves as a program committee member for several conferences, including EMNLP (2017), Ural-PDC (2015–2017), AIST (2014–2017), KESW (2015–2016), and ISMW (2015–2016). He also conducts the Distributed Object Technologies class at the Ural Federal University and coordinates the NLPub community for language technologies for Russian.