For the second meetup of 2018, we have data scientists from Rolls-Royce to share with us the data science work they have done.
Evolving from an engineering institution, Rolls Royce has made a move to provide digital service in the airline industry. The problems we are facing ranges from predictive maintenance in our jet engine and aircraft data to fuel efficiency and safety in airline operations. In this Data Science talk, find out how Rolls-Royce has spotted abnormality in sensor data, explored flight patterns that cost fuel, and used big data analysis to improve an airlines awareness of the challenges to safe flight. We will be able to see what the most significant challenge is, how it is growing within the aircraft fleet and how it compares to what you imagined. Using a combination of feature importance and co-violation analysis, we have developed a flight safety monitoring capability to statistically support pilots’ resilient decision and judgement.
7.00pm Using Data Science to Improve Flight Operations.
8.00pm Q&A and networking
8.30pm End of Event
Minh Nguyen is a data scientist at Rolls Royce. He worked in medical device development, manufacturing and civil aviation. His interests are on machine learning architect at scale and machine prognosis with deep learning on sensor and image data.
At R2 Data Lab, Karthik Chidambaram works with Aviation customers for Improving Fuel Efficiency and Aircraft performance using Statistics, AI and Machine Learning.