Call for papers -- 2nd Big Data Analytics topical sponsored by Computing 
Systems and Technology Division (CAST)
Big Data Analytics and Fundamental Modeling
AIChE Spring Meeting, April 14-16 2016 in Houston, TX 

Deadline extended for new abstracts, submit now by November 16th. 

Tools for data collection and analysis on a massive scale have been 
driving force in development of Big Data analytics in many fields. Data- 
driven approaches such as data-mining, multivariate analysis, machine 
learning etc. allow for robust models and are aided by fast parallel 
computational tools such as Hadoop and Spark. However, unlike many others 
domains, big data in chemical and process engineering is embedded with 
rich structure due to fundamental principles that govern processes. The 
traditional use of first-principles based modeling has led to 
proliferation of control and optimization techniques which have been 
extremely successful in safe & optimal plant operations.

This session encourages submissions which demonstrate the application of 
big-data analytics and first principles in process industries. We 
especially encourage submissions discussing amalgamation of big-data 
analytics techniques with fundamental knowledge, traditional tools, 
models, and algorithms. Examples of such applications include: supplement 
model development with data mining and pre-processing tools, application 
of fast statistics and visualization to process live data; hybrid data- 
driven models employed in model predictive control; Internet-of-things 
approach to process plants and supply chains; machine-learning models for 
fault diagnosis; innovative application of machine learning to chemical 
engineering. 

https://aiche.confex.com/aiche/s16/webprogrampreliminary/Session32147.html
 

Sincerely, 

Apurva Samudra