SORS: Principal Component Analysis for Establishing Characteristic Behaviour

Date: 16/Jun/2015 Time: 09:00

Place:
Gran Sala,  Torre Girona

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17th December 2021. 10:30 am. VIRTUAL  

We are looking forward to celebrating the BSC staff annual meeting this year.

As in the previous edition, the event will be online and shorter.

The event will begin on December 17th at 10:30 am. We will send you a link nearer the time so you can connect.

Even more than normal, we hope that as many BSC staff as possible will be able to attend and participate.

You can participate by telling us:

What you would like to know about?

Let us know which subjects you find interesting to be incorporated into the BSC directors’ presentations.
Deadline exceeded

What would you like to listen to?

What you would like to share?

We would like to know more about your work, so we have booked one hour of the Annual Meeting to listen to 6 BSC employees that will explain what they do. We encourage you to be one of them.

What I would like to explain

Coming soon

 BSC Talks

We have booked time for 6 employees to explain in 6 minutes what you do at BSC.

The event will be VIRTUAL but the BSC Talks will be presented from the studio where the event is taking place.
 

We would like you to make short, attractive presentations (6 minutes) so all the BSC staff know what you do.

You could be one of those to go up the stage, and we will help you to prepare it.

What will you need to do?

  1. Let us know about what you would like to explain.
    • Send us a short video (landscape) of 45 seconds’ maximum explaining what you would like to present at annualmeeting2021@bsc.es
    • State your name, department, research group and a provisional title for your talk.
    • Deadline: November 29th.
  2. All the BSC staff will vote for the 6 most interesting proposals.
    • All videos will be available at the web page and the voting process will be open. Each employee will be able to vote up to 3 proposals.
  3. If your proposal is one of the chosen ones:
    • A training session will be organized for the 6 most voted.
  4. Prepare a 6 minutes’ presentation.
  5. The best presentation of December 17th will be awarded!

Directors’ presentation

We would like to know what subjects you are interested in so as to incorporate them in the directors’ presentation of the center. Fill in this form with your questions. Deadline exceeded.

Closed

Speaker: Dr. Raul Valente Ramírez Velarde, ITESM Campus Monterrey, Mexico

Title: Principal Component Analysis for Establishing Characteristic Behaviour and Machine Learning

Abstract: Principal Component Analysis is a well-known technique for unsupervised machine learning. We use Principal Component Analysis to establish relations between environmental variables and variables for prediction and classification. We also use PCA to establish a first guess for the problem of classification. And we use PCA to establish characteristic behaviors of important variables that contain the highest level of variability.

Short Bio: Raul Ramirez-Velarde finished a Chemical & Industrial Engineering degree in May, 1988 at Instituto Tecnologico y de Estudios Superiores de Monterrey (ITESM), Campus Monterrey, Mexico. He finished a Master Degree on Science with specialty in Computer Science in July 1991. He has been full time professor at ITESM since August de 1991. He reached Associate Professor Level in 2003. He finished a doctorate degree at ITESM in February 2004 in Information Technology with specialty in Multimedia Distributed Systems.

Raul Ramirez has done research in collaborative distributed systems, information technology architecture and infrastructure engineering, computer graphics and animation, and networked multimedia. He has also been consultant to several important firms such as Cemex, Vitro, MacroPro, Photosoft, Cerveceria Cuahtemoc, Elektra, and several agencies of Nuevo Leon provincial government. Also, he is part of the Technical Committee for the development of the Preliminary Results Program for the Provincial Voting Commission (SIPRE, CEE) and of the Technical Committee for the Development of Electronic Vote for the same commission.

He is a member of the National Accreditation Council for Information Technology (CONAIC) and part the directorate board of the National Association of Information Technology Institutions (ANIEI). In January of 1993, he was awarded the first place of the "Award to Educational Innovation 1992".

Currently, Dr. Ramirez is doing research in modelling chaotic systems under uncertainty, modelling high-performance infrastructures such as GRID and Cloud computing, performing multivariable analysis and optimization and scalable algorithms, and modelling network based multimedia services.