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Ioannis Kontoyiannis

Ioannis Kontoyiannis 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 Ioannis Kontoyiannis rather than just read about it. In short: Ioannis Kontoyiannis (born January 1972) is a Greek mathematician and information theorist. He is the Churchill Professor of Mathematics of Information with the Statistical Laboratory, in the Department of Pure Mathematics and Mathematical Statistics, of the University of Cambridge.

Ioannis Kontoyiannis — main illustration
Ioannis Kontoyiannis — illustration

Key takeaways

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

Reference excerpt

Ioannis Kontoyiannis (born January 1972) is a Greek mathematician and information theorist. He is the Churchill Professor of Mathematics of Information with the Statistical Laboratory, in the Department of Pure Mathematics and Mathematical Statistics, of the University of Cambridge. He is also a Fellow of Darwin College, Cambridge, and Chairman of the Rollo Davidson Trust. He is an affiliated member of the Division of Information Engineering, Cambridge, a Research Fellow of the Foundation for Research and Technology - Hellas, and a Senior Member of Robinson College, Cambridge. His research interests are in information theory, probability and statistics, including their applications in data compression, bioinformatics, neuroscience, machine learning, and the connections between core information-theoretic ideas and results in probability theory and additive combinatorics.

Academic biography Kontoyiannis earned a B.S. in mathematics from Imperial College, University of London (1992), he obtained a distinction in Part III of the Cambridge University Pure Mathematics Tripos (1993), and he earned an M.S. in statistics (1997) and a Ph.D. in electrical engineering (1998), both from Stanford University. Between 1998 and 2018 he taught at Purdue University, Brown University, Columbia University, and at the Athens University of Economics and Business. In January 2018 he joined the Information Engineering Division at Cambridge University, as Professor of Information and Communications, and Head of the Signal Processing and Communications Laboratory. Since June 2020 he has been with the Statistical Laboratory, in the Department of Pure Mathematics and Mathematical Statistics, University of Cambridge, where he holds the Churchill Chair in Mathematics.

Awards and honors Manning endowed assistant professorship (2002) Alfred P. Sloan Foundation Research Fellowship (2004) Honorary Master of Arts Degree Ad Eundem, Brown University (2005) Marie Curie Fellowship (2009) IEEE Fellow (2011) AAIA Fellow (2022) IMS Fellow (2023) AIIA Fellow (2024)

References

External links Ioannis Kontoyiannis' web page at Cambridge Ioannis Kontoyiannis publications indexed by Google Scholar

Illustrations

Ioannis Kontoyiannis illustration

Worked examples

Example 1 — a first encounter with Ioannis Kontoyiannis

Start with the simplest possible case. Write down what Ioannis Kontoyiannis 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 Ioannis Kontoyiannis 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 Ioannis Kontoyiannis 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 Ioannis Kontoyiannis

In research
Ioannis Kontoyiannis 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 Ioannis Kontoyiannis 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
Ioannis Kontoyiannis is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1972 births, 20th-century Greek mathematicians, 21st-century Greek mathematicians, so understanding it makes those chapters shorter.
In everyday life
Look for Ioannis Kontoyiannis 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 Ioannis Kontoyiannis in 20 minutes

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

Frequently asked questions

What is Ioannis Kontoyiannis in simple terms?

Ioannis Kontoyiannis (born January 1972) is a Greek mathematician and information theorist. He is the Churchill Professor of Mathematics of Information with the Statistical Laboratory, in the Department of Pure Mathematics and Mathematical Statistics, of the University of Cambridge.

Why does Ioannis Kontoyiannis 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 Ioannis Kontoyiannis?

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 Ioannis Kontoyiannis.

Tags

  • 1972 births
  • 20th-century Greek mathematicians
  • 21st-century Greek mathematicians
  • Alumni of Imperial College London
  • Brown University faculty
  • Columbia University faculty
  • Engineering professors at the University of Cambridge
  • Fellows of Darwin College, Cambridge
  • Fellows of the IEEE
  • Greek expatriates in the United Kingdom
  • Greek expatriates in the United States
  • Information theorists

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