Postdoc

Oleg IegorovOleg is currently a postdoctoral researcher in the Embedded Software Group, University of Waterloo. His research interests are focused on application of data mining and machine learning algorithms on execution traces to help embedded software developers better understand their systems.

Oleg has recently completed his PhD at LIG lab and STMicroelectronics in Grenoble, France. During his PhD, Oleg worked on execution trace analysis to facilitate temporal debugging of embedded software running on Systems-on-Chip from STMicroelectronics. He got his Masters in Computer Science from the University of Grenoble Alpes (France) in 2012, and his Bachelors in Computer Science from the Sumy State University (Ukraine) in 2010.

Affiliation: 
University of Waterloo

Publications with this group

2020

Iegorov, O., and S. Fischmeister, "Parameterless Semi-Supervised Anomaly Detection in Univariate Time Series", Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML), 2020. PDF icon [pdf] (734.3 KB)

2018

Iegorov, O., and S. Fischmeister, "Mining Task Precedence Graphs from Real-Time Embedded System Traces", Real-Time and Embedded Technology and Applications Symposium (RTAS), Porto, Portugal, 2018. PDF icon [pdf] (185.42 KB)

2017

Iegorov, O., R. Torres, and S. Fischmeister, "Periodic Task Mining in Embedded System Traces", IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS), Pittsburgh, USA, pp. 331-340, 2017. PDF icon [pdf] (389.55 KB)