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Faculty Engineering Annual Teaching Event
Threshold/Troublesome Concepts - What MUST We Teach?
Refreshments will be provided.
Any questions contact Kathy Becker, Assistant to the Associate Chair, Teaching kabecker@uwaterloo.ca
Seminar - “Bioactive Peptides from Enzymatic Hydrolysates of Deer Protein” by Yan Jin, Dalian Institute of Chemical Physics, Chinese Academy of Science
ABSTRACT: Deer constitutes an important animal in traditional Chinese medicine and most deer organs are used as medicines or nourishment in traditional Chinese medicine. The most valuable portion of deer is the antler. With the development of deer breeding in northeast China, many other deer organs are now harvested after the antler is collected. Deer protein is the valuable source for producing bioactive peptides, which have been defined as specific protein fragments that have a positive impact on health.
Annual Master's Seminar Presentation
2015 Chemical Engineering
Annual Master's Seminar Presentation
Tuesday, November 3, 2015, Time: 1:00-4:00pm and Wednesday, November 4, 2015, Time: 8:30-4:00pm
Location: E6-2022
Please come to the Reception following Master's presentations:
Wednesday, November 4, 2015, 4:30-6:00,
Location: E6-4024 (Faculty Lounge)
ECSEC 2015 - UW Society of Petroleum Engineers Student Chapter
ECSEC 2015 Eastern Canada Student Energy Conference
Accelerating Academic Research into Commercial Impact - Dr. Charles Cooney, MIT
Seminar - "Tips on How to Write and Submit a Successful Paper" - Joao B.P. Soares, Department of Chemical and Materials Engineering, University of Alberta, Edmonton, AB
Overview
In this mini workshop I explain what you need to know to write and effective scientific paper, simplify the review process, and expedite the acceptance of your paper. I will discuss the scientific elements you should include, the writing style you should follow, and the formatting you should adopt to compose an excellent article. I will also explain the reviewing and publication process followed by most journals.
Intended Audience
Seminar - “Flocculation of Mature Fine Tailings: Is there a Solution in Sight for the Canadian Oil Sands Environmental Challenge?” by Joao B.P. Soares, Department of Chemical and Materials Engineering, University of Alberta, Edmonton, AB
ABSTRACT: Oil sands are a strategic resource for Canada, but despite technological advances in extraction techniques, the treatment of tailing ponds resulting from bitumen extraction is plagued by many environmental challenges. The crucial technical challenge is to separate bitumen from the sand and clay particles, then flocculate or stack the clay particles to release water that can be recycled to the bitumen extraction process. The clays can then be placed in the mine, giving rapid reclamation without forming tailing ponds that may take decades to be reclaimed.
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.
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.