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Monday, November 16, 2015 1:30 pm - 1:30 pm EST (GMT -05:00)

Seminar - "Application of Multivariate Statistical Analysis Techniques for Process Monitoring, Modeling and Optimization" by Ramila Peiris, Ph.D., P. Eng, Sanofi Pasteur

ABSTRACT:  Process analytics play a key role in achieving the process control strategy objectives in manufacturing processes. It has the potential to enhance continued process verification and applications in real-time process monitoring and control. Process analytical methods including, near-infrared (NIR), fluorescence and Raman spectroscopy as well as high performance liquid chromatography (HPLC), are often used in the characterization of raw materials, in-process/intermediate and final product quality attributes of manufacturing processes.

Friday, November 27, 2015 1:45 pm - 1:45 pm EST (GMT -05:00)

Seminar - “Parameter Estimation Techniques for Nonlinear Dynamic Models with Limited Data, Process Disturbances and Modeling Errors” by Hadiseh Karimi, Postdoctoral Fellow, Nova Chemicals Corporation

ABSTRACT:  Chemical engineering models may have many reactions, many kinetic parameters, and many mass transfer and thermodynamic constants. Consequently, models that can fully describe a chemical engineering process are usually nonlinear and complex and have many unknown parameters. Additionally, chemical engineering models are not perfect and there are random disturbances from the environment that should be estimated.

Thursday, January 7, 2016 3:30 pm - 3:30 pm EST (GMT -05:00)

Seminar - “Learning Complex Process Systems from Data”, by Aditya Tulsyan, Process Systems Engineering Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA

ABSTRACT:  With the advent of the Internet of Things (IoT), smart devices and smart manufacturing, the amount of data collection has grown exponentially in a manner analogous to the Moore's law. The explosion in data availability, variety and size have enabled engineering, medicine, science and finance to heavily invest in data-based learning projects. Some of the successful learning projects, include The Human Genome Project, Google Flu Trends, Tesla Self-Driving Car Project and GE Industrial IoT.

Friday, January 15, 2016 1:45 pm - 1:45 pm EST (GMT -05:00)

Seminar “Microscale Multi-Phase Flow Technologies for Sustainability, Pharmaceutical Chemistry, and Nanomaterial Synthesis” by Milad Abolhasani, Ph.D., Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA

ABSTRACT:  Molecular transport spanning multiple phases and drastically different length scales occurs in our daily life and controls our health and surrounding environment; such transport phenomena include greenhouse gas generation from combustion of fossil fuels and drug transport and delivery within the human body.

Friday, January 29, 2016 1:45 pm - 1:45 pm EST (GMT -05:00)

Seminar - “Thin Porous Materials:Characterization Challenges & Modeling Opportunities” by Jeff Gostick, Department of Chemical Engineering, McGill University

ABSTRACT:  Thin porous materials are found in many critical applications such as battery and fuel cell electrodes, wound dressings, filtration membranes, fabrics and paper, to name a few.  The standard body of porous media techniques and theories have been developed for rock and soil pertaining to reservoirs and aquifers.  Consequently, studying transport processes in thin porous materials generally requires developing new approaches, both experimental and modeling.