2024
April – The fourth book of the series on ‘Machine Learning for Process Industry’ and titled ‘Machine Learning in Python for Visual and Acoustics Data-based Process Monitoring’ was released.
January – Our third book of the series on ‘Machine Learning for Process Industry’ and titled Machine Learning in Python for Process and Equipment Condition Monitoring, and Predictive Maintenance’ was released.
2023
December – Simulated FCCU dataset was released to aid exploration of process monitoring solutions
September – Ankur Kumar was included in the 2023 Class of ‘Engineering Leaders Under 40’
July – PDStoolkit package updated with new modules to facilitate building monitoring solutions for linear dynamic processes
May – Our second book of the series on ‘Machine Learning for Process Industry’ and titled ‘Machine Learning in Python for Dynamic Process Systems’ was released.
May – Our first book of the series on ‘Machine Learning for Process Industry’ and titled ‘Machine Learning in Python for Process Systems Engineering’ was updated.
May – Ankur Kumar received Product Impact Award and Digitalization Innovation Award for his work on Machine Learning-based MPCs and advanced monitoring of cyclic processes, respectively, at Linde.
2022
July – Blogpost on ‘Modern Process Data Scientist‘ was published.
May – We released PDStoolkit: a Python package designed to make development of data-science solutions for process industry faster and easier.