Dear Colleagues,

We are organizing an invited session titled "Data Analytics and Machine Learning" at the 
10th IFAC Conference on Advanced Control of Chemical Processes (ADCHEM 2018), 
Shenyang, China (http://adchem2018.org). In the last few years, there have been 
tremendous advances in data analytics and machine learning in many engineering 
disciplines. There are several new avenues of research that are being explored using 
machine learning algorithms involving conversion of raw amorphous data into 
knowledge whether it takes the form of visualization tools or models or other decision 
enabling  information. This invited session aims to bring together recent advances in 
data analytics and machine learning as applied to chemical and process industries.

Some topics of interest, include:

1. Advanced data analytics and machine-learning methods for estimation, monitoring, 
diagnosis, control and optimization.

2. Application of machine-learning in chemical, process and pharmaceutical industry.

3. Machine-learning methods for big data analytics.

4. Artificial intelligence/reinforcement-learning/deep-learning methods for the process 
industry.

5. Perspective/review articles on data analytics and machine-learning.

6. Methods for process data visualization.

7. Soft-sensors for process industry.

8. Predictive maintenance.

We would like you to consider submitting papers to this invited session. If you are 
interested, please send a tentative title before September 20th by email to 
[log in to unmask]

Thank you.

Session Organizers:

Aditya Tulsyan, Amgen Inc., USA ([log in to unmask])
Leo Chiang, Dow Chemicals, USA ([log in to unmask])
Bhushan Gopaluni, University of British Columbia, Canada ([log in to unmask])