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Thiago Valladares Teixeira, 444184 25Th St, San Francisco, CA 94114

Thiago Teixeira Phones & Addresses

3380 20Th St APT 101, San Francisco, CA 94110   

66 Trumbull St, New Haven, CT 06510   

228 Huntington St, New Haven, CT 06511   

Work

Position: Professional/Technical

Education

Degree: High school graduate or higher

Mentions for Thiago Valladares Teixeira

Thiago Teixeira resumes & CV records

Resumes

Thiago Teixeira Photo 34

Senior Analyst

Location:
San Francisco, CA
Industry:
Information Technology And Services
Work:
Valid S.a. Nov 2006 - Aug 2011
Analista De Suporte
Marsh & Mclennan Companies Nov 2006 - Aug 2011
Local Technology Coordinator
Sesc Rio 2006 - 2006
Administrador De Redes
Cipa - Participações E Administração Sa May 2004 - Aug 2005
Estagiã Rio De Suporte - Trainee
May 2004 - Aug 2005
Senior Analyst
Education:
Universidade Gama Filho 2012 - 2013
Master of Business Administration, Masters
Universidade Salgado De Oliveira 2003 - 2007
Skills:
Technical Support, Network Administration, Network Security, Troubleshooting, Itil, It Management, Active Directory, Linux, Windows Server, Wsus, Telecommunications, Sistemas Operacionais, Servidores, Vpn, Centro De Processamento De Dados, Firewalls, Dhcp, Suporte Para Help Desk, Rede De Computadores
Interests:
Social Services
Children
Poverty Alleviation
Human Rights
Health
Languages:
English
Portugese
Thiago Teixeira Photo 35

Founder

Location:
San Francisco, CA
Industry:
Computer Software
Work:
Streamlit
Founder
Google Apr 2013 - Apr 2013
Software Engineer
Inria Oct 2010 - Nov 2011
Post-Doctoral Researcher
Yale University Sep 2005 - Sep 2010
Research Assistant
Education:
Yale University 2007 - 2010
Doctorates, Doctor of Philosophy, Electrical Engineering
Yale University 2005 - 2007
Master of Science, Masters, Electrical Engineering
The Johns Hopkins University 2003 - 2005
The Johns Hopkins University 1999 - 2003
Bachelors, Bachelor of Arts, Bachelor of Science, Electrical Engineering, Mathematics
Skills:
Signal Processing, Algorithms, Machine Learning, Sensors, Python, Latex, Matlab, Computer Science, Programming, Software Engineering, Data Analysis, Image Processing, Computer Vision, Simulations, Computer Architecture, Mathematical Modeling, Distributed Systems, Fpga, Artificial Intelligence, Pattern Recognition
Interests:
Human Computer Interfaces
Data Analysis
Middleware
Participatory Sensing
User Interfaces
Data Fusion
Data Interpretation
Internet of Things
Scene Understanding
Data Visualization
Sensor Fusion
Human Sensing
Ubiquitous Computing
Signal Processing
System Development
Languages:
Portuguese
English
Spanish
Thiago Teixeira Photo 36

Founder

Location:
San Francisco, CA
Work:
Streamlit
Founder
Thiago Teixeira Photo 37

Thiago Aparecido Teixeira

Thiago Teixeira Photo 38

Thiago Teixeira

Thiago Teixeira Photo 39

Thiago Teixeira

Thiago Teixeira Photo 40

Thiago Teixeira

Location:
United States

Publications & IP owners

Us Patents

Subject Sensing In An Environment

US Patent:
2014022, Aug 14, 2014
Filed:
Jul 2, 2012
Appl. No.:
14/130298
Inventors:
Andreas Savvides - Holliston MA, US
Thiago Teixeira - San Francisco CA, US
Assignee:
YALE UNIVERSITY - New Haven CT
International Classification:
G06K 9/00
US Classification:
382103
Abstract:
A multimodal sensor network is designed to extract a plurality of fundamental properties associated with subject sensing. In one aspect, such network can combine cameras distributed in an environment with inertial sensors available in subjects' wearable devices. The network can permit anonymous detection, counting, and localization of one or more subjects utilizing the cameras. In one aspect, by fusing such information with positional data from the inertial sensors contained or coupled to wearable devices associated with the one or more subjects, the network can track and can identify each subject carrying a wearable device functionally coupled to inertial sensor(s). In one aspect, the problem of subject sensing can be divided into two parts: (1) a detection, counting, and localization (DCL) layer and (2) a tracking and identification (TI) layer, wherein such layers can be implemented via simulations and a real sensor network deployment.

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