Control Room--> Bioreactor Process Oil Refinery

DDM Consortium

Tranforming Big Data into Incisive Information

The SRI at Tufts is presently developing an industrial consortium to support application-relevant research in the development of Data-Driven Models (DDM) for continuous and batch chemical and biological processes. This wide range of processes are all affected by the availability of a tremendous amount of data, usually referee as the BIG Data syndrome. Despite the apparent difference between batch and continuous processes, the development of dynamic models for batch processes is not that dissimilar from the development of transient models for continues processes. Taking a data-driven approach minimizes the impact of dissimilarities between chemical and biological processes. The aim of the project is to transform historical and on-line data to information. If we are allowed, we can say that we aim to transform BIG DATA into INCISIVE INFORMATION.

In the following we describe

Naturally the research program will be adjusted to fit the interests of the companies that will become member of the consortium.

Member companies of the DDM consortium pay an annual membership fee and the funds are pulled to support the Generic Research program of interest to the majority of the consortium members. The operational details of the consortium will follow the well-tested approach of the Industry-University cooperative research program of NSF1. Professor Georgakis established in 1984 and operated for almost 20 years an NSF funded I/UCRC program on Chemical Process Modeling and Control (CPMC) at Lehigh University.

The initial open house meeting of the consortium is scheduled for October 11, 2013 at the Tufts University Campus. If you are interested in asking further questions about the consortium or if you would like to receive an invitation to the October 11 meeting, please contact Professor Georgakis by email with some background information (Christos.Georgakis@Tufts.edu) or by a call to 617-627-2573. Alternatively fill in the form here.


1 http://www.nsf.gov/funding/pgm_summ.jsp?pims_id=5501

SRI Director
Dr. Christos Georgakis
Professor, Department of Chemical and Biological Engineering, Gordon Senior Faculty Fellow of Systems Engineering
Tufts University
Affiliated Faculty at Tufts
Dr. Kyongbum Lee
Associate Professor and Chair, Department of Chemical and Biological Engineering
Tufts University
Dr. Nikhil Nair
Asistant Professor, Department of Chemical and Biological Engineering
Tufts University
Affiliated Faculty Outside Tufts
Dr. Bhavik Bakshi
Professor , Departmants of Chemical & Biomolecular Engineering, Ohio State University
Dr. Dominique Bonvin
Professor, Automatic Control Laboratory École Polytechnique Fédéral de Lausanne (EPFL) Switzerland
Dr. B. Erik Ydstie
Professor, Departmant of Chemical Engineering, Carnegie Mellon University, Professor of Electrical Engineering by Courtesy, CMU , and Professor II of Electrical Engineering at NUST, Trondheim, Norway
Contact SRI
Tufts University
Science and Technology Center
4 Colby Strett, Room 273
Medford, MA 02155
(617) 627-2573
(617) 627-3991 [FAX]
Christos.Georgakis@tufts.edu