Roy joined the IBM Research Zurich Lab in March 2018. He holds a Ph.D. in Robotics, and his main research interests are in the the area of artificial intelligence, specifically, machine learning and deep learning for predictive analytics; and data mining and mathematical modelling of complex systems. He is currently working on multiple predictive maintenance projects such as ROMEO https://www.romeoproject.eu/.
Throughout his studies Roy has been awarded a Distinction Master of Science, and a Marie Curie Research Fellowship for pursuing his Ph.D. degree. He is the recipient of the Best Paper Award at the 2017 IEEE Prognostics and Health Management conference.
His previous work experience was a research staff position that he held at the University of Salford Manchester. He has extensive experience working on the prognostics of complex systems, using both mathematical methods and machine learning for understanding and predicting highly stochastic degradation behavior.