AeroLeads people directory · profile
Sandro José Rigo Email & Phone Number
Director
at
Unisinos
1 work email found
@unisinos.br
2 phones found area 199
LinkedIn matched
✓ Verified July 2026
4 data sources
Profile completeness 100%
Current company
Role
Director
Location
Porto Alegre, Rio Grande Do Sul, Brazil
Company size
Who is Sandro José Rigo? Overview
A concise factual answer block for searchers comparing this professional profile.
Quick answer
Sandro José Rigo is listed as Director at Unisinos, a with 2337 employees, based in Porto Alegre, Rio Grande Do Sul, Brazil. AeroLeads shows a work email signal at unisinos.br, phone signal with area code 199, and a matched LinkedIn profile for Sandro José Rigo.
Sandro José Rigo previously worked as Professor at Unisinos University and professor at Unisinos. Sandro José Rigo holds Post-Doctorate Artificial Intelligence, Machine Learning from University Of Erlangen-Nuremberg.
Company email context
Email format at Unisinos
This section adds company-level context without repeating Sandro José Rigo's masked contact details.
{last}@unisinos.br
89% confidence
AeroLeads found 1 current-domain work email signal for Sandro José Rigo. Compare company email patterns before reaching out.
Profile bio
About Sandro José Rigo
Bsc in Computer Science at Pontifícia Universidade Católica do Rio Grande do Sul - PUCRS (1990); MsC in Computer Science at Universidade Federal do Rio Grande do Sul - UFRGS (1993); PhD in Computer Science at Universidade Federal do Rio Grande do Sul - UFRGS (2008). Post-doctorate at Friedrich-Alexander Universität Erlangen-Nürnberg/Germany (2018).Professor at UNISINOS University and Researcher in the Applied Computing Graduate Program (UNISINOS/PPGCA). Dean of the UNISINOS Polytechnic School. Consultant on innovation and information technology. Research project coordinator at UNISINOS. Fields of interest: Artificial Intelligence, Educational Data Mining, Semantic Web, Knowledge Representation, Machine Learning, and Natural Language Processing.
Listed skills include Artificial Intelligence, Ontologies, Computer Science, Machine Learning, and 26 others.
Current workplace
Sandro José Rigo's current company
Company context helps verify the profile and gives searchers a useful next step.
Unisinos
4 roles · 32 years
Sandro José Rigo work experience
A career timeline built from the work history available for this profile.
Professor
Current
Unisinos University
1995 - Present
~31 yrs 6 mos
Professor
Current
Unisinos
Aug 1995 - Present
Professor
Universidade Do Vale Do Rio Dos Sinos
1995 - 2007
~12 yrs
4 education records
Sandro José Rigo education
Post-Doctorate Artificial Intelligence, Machine Learning
Doctor, Computer Science
Master, Computer Science
FAQ
Frequently asked questions about Sandro José Rigo
Quick answers generated from the profile data available on this page.
What company does Sandro José Rigo work for?
Sandro José Rigo works for Unisinos.
What is Sandro José Rigo's role at Unisinos?
Sandro José Rigo is listed as Director at Unisinos.
What is Sandro José Rigo's email address?
AeroLeads has found 1 work email signal at @unisinos.br for Sandro José Rigo at Unisinos.
What is Sandro José Rigo's phone number?
AeroLeads has found 2 phone signal(s) with area code 199 for Sandro José Rigo at Unisinos.
Where is Sandro José Rigo based?
Sandro José Rigo is based in Porto Alegre, Rio Grande Do Sul, Brazil while working with Unisinos.
What companies has Sandro José Rigo worked for?
Sandro José Rigo has worked for Unisinos, Unisinos University, and Universidade Do Vale Do Rio Dos Sinos.
How can I contact Sandro José Rigo?
You can use AeroLeads to view verified contact signals for Sandro José Rigo at Unisinos, including work email, phone, and LinkedIn data when available.
What schools did Sandro José Rigo attend?
Sandro José Rigo holds Post-Doctorate Artificial Intelligence, Machine Learning from University Of Erlangen-Nuremberg.
What skills is Sandro José Rigo known for?
Sandro José Rigo is listed with skills including Artificial Intelligence, Ontologies, Computer Science, Machine Learning, Natural Language Processing, Text Mining, Java, and Algorithms.
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