Jorge Luis Guevara Díaz
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Jorge Luis Guevara Díaz Email & Phone Number

Research Staff Member at IBM Research
Location: São Paulo, São Paulo, Brazil 8 work roles 4 schools
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Current company
IBM Research
Role
Research Staff Member
Location
São Paulo, São Paulo, Brazil
Company size
332208 employees

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Jorge Luis Guevara Díaz is listed as Research Staff Member at IBM Research, a company with 332208 employees, based in São Paulo, São Paulo, Brazil. AeroLeads shows a matched LinkedIn profile for Jorge Luis Guevara Díaz.

Jorge Luis Guevara Díaz previously worked as Research Scientist at Ibm Research and Postdoc at Institute Of Mathematics Ans Statistics (Ime) - University Of São Paulo. Jorge Luis Guevara Díaz holds Doctor Of Philosophy (Ph.D.), Computer Science from Universidade De São Paulo.

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IBM Research

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About Jorge Luis Guevara Díaz

Jorge Luis Guevara Díaz is a Research Staff Member at IBM Research. He possess expertise in c++, java, linux, python, matlab and 9 more skills. He is proficient in English, Français and Portugues.

Listed skills include C++, Java, Linux, Python, and 10 others.

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IBM Research
Ibm Research
Research Staff Member
State of São Paulo, Brazil
Website
ibm.com
Employees
332208
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8 roles · 16 years

Jorge Luis Guevara Díaz work experience

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Research Staff Member

Ibm Research

State Of São Paulo, Brazil

Research Scientist

Current
Ibm Research

Brasil

Feb 2016 - Present

Phd

Institute Of Mathematics Ans Statistics (Ime) - University Of São Paulo

São Paulo Y Alrededores, Brasil

My PhD research was focused in the analysis of fuzzy data from the kernel methods perspective. Kernel methods are state-of-art techniques in machine learning for pattern analysis. However, they ignore the pointwise uncertainty in observations. In this sense, my work enables the analysis of low quality, uncertain and imprecise datasets, as is the case of.

Feb 2010 - May 2015

Teaching Assistant

Institute Of Mathematics Ans Statistics (Ime) - University Of São Paulo

São Paulo Y Alrededores, Brasil

Teaching Assistant: 2014–2014 Introduction to Computer Vision and Image Processing, 3rd year BSc.2011–2011 Computer Vision and Image Processing I, 3rd year BSc.2010–2010 Programming Laboratory II, 2rd year BSc.

2010 - 2014 ~4 yrs

Phd Internship

Laboratory For Computer Science, Information Technology And Systems

Rouen, France

As part of my PhD studies I did one year internship at Institute National of Applied Sciences, LITIS, Rouen-France under supervision of Professor Stéphane Canu working on SVMs and Kernel methods. As a result I create a data description model to find group anomalies. I applied this model to detect anomalous cluster of galaxies from the Sloan Digital Survey.

Sep 2012 - Sep 2013

Professor

Universidad Nacional De Trujillo

Perú

Teaching experience:2007/2009 Speech Recognition - 4rd year BSc2008/2009 Computer Graphics - 3rd year BSc2008/2009 Image processing - 4rd year BSc2007/2008 Numerical Computing - 3rd year BSc2007/2008 Artificial Intelligence - 4rd year BSc

Apr 2007 - Dec 2009
Team & coworkers

Colleagues at IBM Research

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TP Tom Pattison Tom Pattison Colleague at Ibm ResearchHoward City, Michigan, United States, United States View → JS Jyoti Sharma Jyoti Sharma Colleague at Ibm ResearchDelhi, India, India View → VK Vamshi Krishna Vamshi Krishna Colleague at Ibm ResearchChengalpattu, Tamil Nadu, India, India View → SM Sandesh Mukkati Sandesh Mukkati Colleague at Ibm ResearchBengaluru, Karnataka, India, India View → DJ Dinesh Jain Dinesh Jain Colleague at Ibm ResearchBengaluru, Karnataka, India, India View → SN Sreenivas Nuti Sreenivas Nuti Colleague at Ibm ResearchHyderabad, Telangana, India, India View → JF Joanne Farn Joanne Farn Colleague at Ibm ResearchGreater Guildford Area, United Kingdom, United Kingdom View → DM Dimitar Milanov Dimitar Milanov Colleague at Ibm ResearchSofia, Sofia City, Bulgaria, Bulgaria View → WX Wei Xu Wei Xu Colleague at Ibm ResearchChina, China View → DN Dominik Nagy Dominik Nagy Colleague at Ibm ResearchSlovakia, Slovakia View →
4 education records

Jorge Luis Guevara Díaz education

Doctor Of Philosophy (Ph.D.), Computer Science

Universidade De São Paulo

Thesis: "Supervised Machine Learning using kernel methods, probability measures and fuzzy set theory". Supervisor: Professor Roberto.

Phd Internship, Computer Science

Université De Rouen Normandie

I spend one year at INSA lab at Rouen learning about kernel methods with Stephane Canu

Master Of Science (Msc), Computer Science

Universidad Nacional De Trujillo

Dissertation: "Information retrieval from speech audios". Supervisor: Professor Ronald Leon We explore speech recognition techniques for.

Bachelor'S Degree, Computer Science

Universidad Nacional De Trujillo

Dissertation: Feature extraction using wavelets for speech recognition systems Supervisor: Professor Ronald Leon We developed an algorithm.

FAQ

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What company does Jorge Luis Guevara Díaz work for?

Jorge Luis Guevara Díaz works for IBM Research.

What is Jorge Luis Guevara Díaz's role at IBM Research?

Jorge Luis Guevara Díaz is listed as Research Staff Member at IBM Research.

Where is Jorge Luis Guevara Díaz based?

Jorge Luis Guevara Díaz is based in São Paulo, São Paulo, Brazil while working with IBM Research.

What companies has Jorge Luis Guevara Díaz worked for?

Jorge Luis Guevara Díaz has worked for Ibm Research, Institute Of Mathematics Ans Statistics (Ime) - University Of São Paulo, Laboratory For Computer Science, Information Technology And Systems, Universidad Privada Del Norte (Upn), and Universidad Nacional De Trujillo.

Who are Jorge Luis Guevara Díaz's colleagues at IBM Research?

Jorge Luis Guevara Díaz's colleagues at IBM Research include Tom Pattison, Jyoti Sharma, Vamshi Krishna, Sandesh Mukkati, and Dinesh Jain.

How can I contact Jorge Luis Guevara Díaz?

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What schools did Jorge Luis Guevara Díaz attend?

Jorge Luis Guevara Díaz holds Doctor Of Philosophy (Ph.D.), Computer Science from Universidade De São Paulo.

What skills is Jorge Luis Guevara Díaz known for?

Jorge Luis Guevara Díaz is listed with skills including C++, Java, Linux, Python, Matlab, Machine Learning, Support Vector Machines, and Fuzzy Set Theory.

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