Check out the renovated Tutoring Centers

Posted by on Jan 31, 2018 in Resources |

A tutor works on a white board at the tutoring center.

Continue the strong momentum of your semester at the renovated tutoring spaces at the Centerpoint (CTRPT) location for students in the School of Computing, Informatics, and Decision Systems Engineering, and in the Engineering Center F-Wing (ECF) 102 location.

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Invited Talk with Amazon’s Haixun Wang: Natural language processing for short text understanding, January 29

Posted by on Jan 23, 2018 in Events, Fulton Schools, Graduate Students, Students |

Search queries, keywords, tags and other short text entries pose many challenges for traditional natural language processing techniques. Professor Huan Liu hosts Haixun Wang, director of natural language processing at Amazon, to discuss methods to make short texts easier to handle.

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Seminar: Learning to Expand Partially Observed Networks

Posted by on Jan 22, 2018 in | 0 comments

Tina Eliassi-Rad talk flier.

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Network data is often incomplete. How can you get additional information and obtain more valuable information about a network? Tina Eliassi-Rad of Northeastern University will explain at a School of Computing, Informatics, and Decision Systems Engineering invited talk hosted by Hanghang Tong.

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Seminar: Cost Estimation Using Clustering and Splines, January 19

Posted by on Dec 18, 2017 in Events |

Download the flier for more information

Come learn from a distinguished professor about new computational methods being applied to cost estimation, an important part of production environments and service industries.

Cost Estimation Using Clustering and Splines
Presented by Alice E. Smith, distinguished professor, Department of Industrial and Systems Engineering and Department of Computer Science and Software Engineering, Auburn University

Friday, January 19, 2018
Noon
Brickyard (BYENG) 210, Tempe campus [map]

Abstract

Alice E. Smith of Auburn University presents some computational methods which have not previously been used for cost estimation, with a focus on cost estimation for new products or services which are variants of existing or previous products or services. Cost drivers using metrics of both continuous real values and categorical values are considered together. An empirical approach is taken, using  clustering and splines. These approaches are compared with each other and with the well-known cost estimation empirical model of polynomial regression. Smith will use four actual case studies from manufacturing industries to evaluate the performance and practicality of these new approaches. These discussions are also metrics for clustering both real and categorical variables, and approaches for choosing an appropriate number of clusters.

About the speaker

Alice E. Smith is the Joe W. Foreh and Accenture Distinguished Professor of the Industrial Systems Engineering Department at Auburn University, where she served as Department Chair from 1999-2011. She also has a joint appointment with the Department of Computer Science and Software Engineering.

Smith’s research focus is analysis, modeling and optimization of complex systems with emphasis on computation inspired by natural systems. She holds one U.S. patent and several international patents, and she has authored more than 200 publications.

Smith has been a principal investigator on over $7.5 million of sponsored research with funding by NASA, the U.S. Department of Defense, Missile Defense Agency, National Security Agency, NIST, the U.S. Department of Transportation, Lockheed Martin, Adtranz, the Ben Franklin Technology Center of Western Pennsylvania and the U.S. National Science Foundation. International research collaborations have been sponsored by Germany, Mexico, Japan, Turkey, the United Kingdom, the Netherlands, Egypt, South Korea, Iraq, China, Colombia, Chile, Algeria and the United States.

Additionally, she is a fellow of the Institute of Electrical Engineers, the Institute of Electrical and Electronics Engineers and a senior member of the Society of Women Engineers.

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