astronomy

Thomas Neumann

Thomas Neumann 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 Thomas Neumann rather than just read about it. In short: Thomas Neumann (born 1977) is a German computer scientist and full professor for Data Science and Engineering at the Technical University of Munich (TUM). Education and career Thomas Neumann finished his studies in business informatics, at the University of Mannheim in 2001.

Key takeaways

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

Reference excerpt

Thomas Neumann (born 1977) is a German computer scientist and full professor for Data Science and Engineering at the Technical University of Munich (TUM).

Education and career Thomas Neumann finished his studies in business informatics, at the University of Mannheim in 2001. He received his doctor's degree in computer science under the supervision of Guido Moerkotte, in 2005, and then worked as a senior researcher at the Max Planck Institute for Computer Science in Saarbrücken, with Gerhard Weikum. During this time, Neumann developed RDF-3X, a system for graph databases. He habilitated in 2010 at Saarland University. In the same year, he joined the group for database systems at TUM under Alfons Kemper as associate professor. In 2017, he became a full professor for Data Science and Engineering, also at TUM.

Research His research areas are query optimisation and efficient query processing by just-in-time compilation. As part of this research, he developed the main memory database system HyPer, which was sold to Tableau Software in 2016, and its successor system Umbra. He was awarded the Gottfried Wilhelm Leibniz Prize by the German Research Foundation for his work on HyPer.

External links Homepage of Thomas Neumann Publications indexed in the Digital Bibliography & Library Project (DBLP) HyPer: Hybrid OLTP&OLAP High-Performance Database System Umbra: A Disk-Based System with In-Memory Performance

Awards 2025 VLDB Test of Time Award 2025 VLDB Best Paper Award 2021 VLDB Test of Time Award 2021 ICDE Ten-Year Influential Paper Award 2020 Gottfried Wilhelm Leibniz Prize 2016 ERC Consolidator Grant 2014 Early Career Award of the VLDB Conference 1994 International Olympiad in Informatics gold medal

References

Illustrations

Worked examples

Example 1 — a first encounter with Thomas Neumann

Start with the simplest possible case. Write down what Thomas Neumann 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 Thomas Neumann 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 Thomas Neumann 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 Thomas Neumann

In research: Thomas Neumann 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 Thomas Neumann 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: Thomas Neumann is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1977 births, Academic staff of the Technical University of Munich, Database researchers, so understanding it makes those chapters shorter.
In everyday life: Look for Thomas Neumann 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 Thomas Neumann in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Thomas Neumann 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 Thomas Neumann out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Thomas Neumann in simple terms?

Thomas Neumann (born 1977) is a German computer scientist and full professor for Data Science and Engineering at the Technical University of Munich (TUM). Education and career Thomas Neumann finished his studies in business informatics, at the University of Mannheim in 2001.

Why does Thomas Neumann 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 Thomas Neumann?

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 Thomas Neumann.