Center for Informatics Science (CIS)

Events
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Sunday December 21, 2008
Sunday April 12, 2009
Start: 04/12/2009 12:00

Speaker: Dr. Hisham Elshishiny, IBM CAS Cairo

Monday April 13, 2009
Start: 04/13/2009 16:00

Speaker: Roshan Agarwal, Faculty of Medicine, Imperial College
Date: Tuesday, 14th April 2009
Time: 14:00
Location: Auditorium

Abstract:

Thursday April 30, 2009
Start: 04/30/2009 19:00
End: 04/30/2009 23:08

Thursday, April 30th, 2009
The Castle Club Ballroom,
JW Marriott Hotel
7:00 pm – 11:00 pm

Wednesday May 20, 2009
Start: 05/20/2009 11:30

Arranged by IBM

Thursday May 21, 2009
Start: 05/20/2009 11:30
End: 05/21/2009 17:15

Arranged by IBM

Sunday May 24, 2009
Start: 05/24/2009 10:30

The event is press conference and discussion of the results of the joint project of applying High Performance Computing in Bioinformatics between Nile University, CMIC (Cairo Microsoft innovation Center) and Microsoft Egypt – the HPC Lab.

Event Agenda:

10.30 – Dr.Tarek ElAbbady “Model for collaboration between universities and industry in Egypt”
11.00 – Prof. Tarek Khalil "Nile University: Commitment to collaboration with industry"
11.15 – Dr. Hazzem Ezzat "Remarks by the NU Research Community"
11.30 – Eng. Nohal Radi “HPC in a nutshell”

Tuesday November 03, 2009
Start: 11/03/2009 10:00

Presenter: Dr. Reinhard Eckloff from CLC bio at
Location: Nile university B2, auditorium.

Tuesday November 24, 2009
Start: 11/24/2009 13:00

Speaker: Dr. Noha Yousri

Abstract:
DNA micro-arrays result in massive gene expression data, both in terms of the number of genes and number of tumor samples/conditions. In order to dig for gene markers and functional relations between genes in these massive datasets, efficient data analysis techniques as classification and clustering become inevitable. However, the absence of a priori knowledge about the data demands selecting efficient clustering algorithms. Moreover, combining clustering with related pattern analysis methods as core/outlier identification (within a hard/fuzzy framework) aims at increasing the depth of cluster analysis, as understanding the overlap between expression clusters and interpreting the gradual change of patterns within the same cluster.

Thursday January 28, 2010
Start: 01/28/2010 09:00
n/a
Saturday December 18, 2010
Sunday December 19, 2010