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Events for October 02, 2018

  • Six Sigma Green Belt for Process Improvement

    Tue, Oct 02, 2018

    Executive Education

    Conferences, Lectures, & Seminars


    Talk Title: Six Sigma Green Belt for Process Improvement

    Abstract: Abstract: Learn how to integrate principles of business, statistics, and engineering to achieve tangible results. Master the use of Six Sigma to quantify the critical quality issues in your company. Once the issues have been quantified, statistics can be applied to provide probabilities of success and failure. Six Sigma methods increase productivity and enhance quality.


    Host: USC Viterbi Executive Education

    More Info: https://viterbiexeced.usc.edu/engineering-program-areas/six-sigma-lean-certification/six-sigma-green-belt-process-improvement/

    Audiences: Registered Attendees

    Contact: Viterbi Professional Programs

    Event Link: https://viterbiexeced.usc.edu/engineering-program-areas/six-sigma-lean-certification/six-sigma-green-belt-process-improvement/

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  • Viterbi Career Fair

    Tue, Oct 02, 2018 @ 10:00 AM - 03:00 PM

    Viterbi School of Engineering Career Connections

    Receptions & Special Events


    The Viterbi Career Fair is free and open to all students in the USC Viterbi School of Engineering. This casual, yet professional, environment allows students the opportunity to have brief conversations with recruiters about full-time employment, internships, and co-ops. Don't forget your resume!

    Coming soon- Info on New Format!

    Location: Trousdale & Alumni Park

    Audiences: All Viterbi Students

    Contact: RTH 218 Viterbi Career Connections

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  • PhD Defense

    Tue, Oct 02, 2018 @ 01:00 PM - 03:00 PM

    Mork Family Department of Chemical Engineering and Materials Science

    Conferences, Lectures, & Seminars


    Speaker: Yuan Jin , Mork Family Department of Chemical Engineering

    Talk Title: Statistical modeling and process data analytics for smart manufacturing

    Abstract: Smart manufacturing has been the focus of many researchers and has been extended to varies areas. With the increased complexity of the manufacturing process and the variety data collected from various aspects throughout the process, process data analytics is thus essential to discover process knowledge and predict the future production. In this dissertation, we introduced two challenges accompanied by smart manufacturing and discussed how we handle the challenges for processes with different manufacturing characters. The two challenges are "complexity" and "variety", the areas of applications are additive manufacturing (AM) and pharmaceutical manufacturing.

    To handle the challenges accompanying with AM, we first study a statistical modeling and optimal compensation approach to predict and improve the shape accuracy of AM printed parts, especially for the out-of-plane deviation. This method is data driven and thus, not blocked by the complicated AM physical mechanism. Moreover, this method is able to deal with low volume sample data and high volume geometric variety. The feasibility and effectiveness of this approach is proved by experimental study.

    To deal with the challenges accompanying with pharmaceutical manufacturing, we proposed a two-stage strategy to study a large-scale cell culture manufacturing process variability. This strategy not only adopts multivariate analysis (MVA) and machine learning (ML) methods on intricate multiple-step bio-processes, but also takes use of multilevel heterogeneous datasets to unveil hidden process characteristics and provide insights into factors affecting process quality. This strategy has been applied to a real antibody pharmaceutical manufacturing, pointing to new cues for domain experts to better understand the process.


    Biography: Yuan Jin is a Ph.D. candidate in Mork Family Department of Chemical Engineering & Materials Science at University of Southern California (USC), Los Angeles, CA. She received her B.E. degree in Electrical Engineering from Zhejiang University, Hangzhou, Zhejiang in 2013. Her research is about statistical modeling and process data analytics for smart manufacturing.

    Host: Dr. Joe Qin

    Location: Hedco Pertroleum and Chemical Engineering Building (HED) - 116

    Audiences: Everyone Is Invited

    Contact: Karen Woo/Mork Family

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  • Epstein Institute Seminar - ISE 651

    Tue, Oct 02, 2018 @ 03:30 PM - 04:50 PM

    Daniel J. Epstein Department of Industrial and Systems Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Ying Cui, Postdoctoral Scholar - Research Associate, USC, Daniel J. Epstein Department of Industrial and Systems Engineering

    Talk Title: Composite Difference-Max Programs for Modern Statistical Estimations

    Host: Professor Jong-Shi Pang

    More Information: October 2, 2018.pdf

    Location: Ethel Percy Andrus Gerontology Center (GER) - 206

    Audiences: Everyone Is Invited

    Contact: Grace Owh

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  • Mork Family Department of Chemical Engineering and Materials Science Seminar - Lyman L. Handy Colloquia

    Tue, Oct 02, 2018 @ 04:00 PM - 05:20 PM

    Mork Family Department of Chemical Engineering and Materials Science

    Conferences, Lectures, & Seminars


    Speaker: Dr. Doraiswami Ramkrishna , H.C.Peffer Distinguished Professor, Davidson School of Chemical Engineering. Purdue University

    Talk Title: Metabolic Complexity. Is there Music Behind it?

    Abstract: The complexity of metabolic networks would appear to fit in more appropriately with a cacophonic scenario than anything remotely musical. However, this talk will attempt to show that a mathematical view can be had of this complex process in which the phenomenon of metabolic regulation can be likened to the conductor of a symphonic orchestra summoning combinations of instruments representing metabolic reactions towards superlative music. It will be the objective of this seminar to let this analogy lead the discussion of a cybernetic theory of cellular metabolism which interprets the diversity of gene expression as a targeted effort to maximize the organism's survival. The applicability of the model to bioprocess engineering is demonstrated.



    Host: Professor Theo Tsotsis

    Location: John Stauffer Science Lecture Hall (SLH) - 200

    Audiences: Everyone Is Invited

    Contact: Karen Woo/Mork Family

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  • Cypress Semiconductor Info Session

    Tue, Oct 02, 2018 @ 05:10 PM - 06:40 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    Come hang out with us for an hour to learn how you can kick off your career with Cypress. We'll be sharing a few things we know you'll want to hear, from our values to our culture and different opportunities within our global organization. You'll walk away from this session with more insight into our company, our products and will have the opportunity to ask questions and discover more on how you can join our team of industry-leading problem solvers.

    Location: Seeley G. Mudd Building (SGM) - 101

    Audiences: Everyone Is Invited

    Contact: RTH 218 Viterbi Career Connections

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