astronomy

Paulo Pinheiro

Paulo Pinheiro is a astronomy topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Paulo Pinheiro rather than just read about it. In short: Paulo Pinheiro is a Brazilian American computer scientist working in the areas of provenance and semantic web in support of sciences. Pinheiro has been a research scientist at the Rensselaer Polytechnic Institute's Tetherless World Constellation since 2013.

Key takeaways

Paulo Pinheiro belongs to astronomy; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect Paulo Pinheiro to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of Paulo Pinheiro from memory before moving on to harder problems.

Reference excerpt

Paulo Pinheiro is a Brazilian American computer scientist working in the areas of provenance and semantic web in support of sciences. Pinheiro has been a research scientist at the Rensselaer Polytechnic Institute's Tetherless World Constellation since 2013. Between 2011 and 2013, he was a staff scientist at the U.S. Department of Energy's Pacific Northwest National Laboratory. Between 2006 and 2012, he was an associate professor of computer science at the University of Texas at El Paso. Pinheiro is from a long line of scientists and engineers: his father is a retired professor of material sciences at the Universidade Federal de Minas Gerais; his paternal grandfather was the founding Mine Superintendent of Vale S.A., the second largest mining company in the world and Israel Pinheiro da Silva, a great-granduncle, was the chief engineer responsible for the construction of Brasília, the capital of Brazil.

Education Pinheiro received a licenciatura in mathematics and a master's degree in computer science from the Universidade Federal de Minas Gerais, Brazil, and a Ph.D. in computer science from University of Manchester, United Kingdom, in 2002. Between 2002 and 2005, he was a postdoctoral fellow in the Knowledge Systems Laboratory at Stanford University, United States, and a Sistemas de Informação's faculty member at Faculdades INESC/Unai, Brazil.

Research Pinheiro's research focuses on innovative ways of using semantically enable resources such as ontologies, abstract process specifications, and distributed provenance in support of trust and uncertainty management for sciences. Pinheiro is the author of the Unified Modeling Language for Interactive Systems (UMLi) developed as part of his PhD work at the Information Management Group at the University of Manchester. Pinheiro is a co-author of the Provenance Markup Language (PML) originally developed at Stanford's Knowledge Systems Laboratory.

References

External links Personal web page Publications

Worked examples

Example 1 — a first encounter with Paulo Pinheiro

Start with the simplest possible case. Write down what Paulo Pinheiro claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In astronomy, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Paulo Pinheiro before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Paulo Pinheiro ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Paulo Pinheiro

In research: Paulo Pinheiro appears in astronomy research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses Paulo Pinheiro in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: Paulo Pinheiro is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1967 births, Alumni of the University of Manchester, Brazilian computer scientists, so understanding it makes those chapters shorter.
In everyday life: Look for Paulo Pinheiro outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Paulo Pinheiro in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Paulo Pinheiro means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain Paulo Pinheiro out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Paulo Pinheiro in simple terms?

Why does Paulo Pinheiro matter?

Because it connects several astronomy ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Paulo Pinheiro?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Paulo Pinheiro.