Oleg 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.
Carlos Moreno received his PhD from the University of Waterloo, working in the area of Cryptography and Embedded Systems Security. He also holds an M.Eng. degree from McGill University in the area of Digital Signal Processing, and a B.Eng. in Electronics Engineering from Universidad Simon Bolivar in Caracas, Venezuela, where he graduated First of his Class.
Apurva Narayan got his Bachelors in Engineering from the Dayalbagh Educational Institute, Agra, India. He finished his PhD in Systems Design Engineering department at the University of Waterloo. His research interests are in Artificial Intelligence; Machine Learning & Deep Learning; Stochastic Optimization; Multidisciplinary Design Optimization under Uncertainty and the modeling, design and evaluation of safety-critical real time systems.