computer science

Ivan Damgård

Ivan Damgård is a computer science 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 Ivan Damgård rather than just read about it. In short: Ivan Bjerre Damgård (born 1956) is a Danish cryptographer and currently a professor at the Department of Computer Science, Aarhus University, Denmark. Ivan is the co-founder of Cryptomathic, Partisia and Sepior.

Key takeaways

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

Reference excerpt

Ivan Bjerre Damgård (born 1956) is a Danish cryptographer and currently a professor at the Department of Computer Science, Aarhus University, Denmark. Ivan is the co-founder of Cryptomathic, Partisia and Sepior. Ivan is a Professor and head of the research group in cryptography at Aarhus University. He is one of the top cited and publishing researchers in cryptography, is a fellow of the IACR (International Association for Cryptologic Research), and received the 2015 RSA Award for Excellence in the Field of Mathematics.

Academic background In 1983, he obtained a master's degree in mathematics (with minors in music and computer science) at Aarhus University. He began his PhD studies in 1985, at the same university, and was for a period, a guest researcher at CWI in Amsterdam in 1987. He earned his PhD degree in May, 1988, with the thesis Ubetinget beskyttelse i kryptografiske protokoller (Unconditional protection in cryptographic protocols) and has been employed at Aarhus University ever since. Damgård became full professor in 2005.

Research Damgård co-invented the Merkle–Damgård construction, which is used in influential cryptographic hash functions such as SHA-2, SHA-1 and MD5. He discovered the structure independently of Ralph Merkle and published it in 1989. Ivan Damgård is one of the founders of the Cryptomathic company. In 2010, he was selected as IACR Fellow. In 2020, he received the Public Key Cryptography (PKC) conference Test of Time Award for the paper "A Generalisation, a Simplification and Some Applications of Paillier's Probabilistic Public-Key System", which was published in PKC 2001 by Damgård and Jurik. In 2021, Damgård received the ACM Symposium on Theory of Computing (STOC) Test of Time Award for the paper "Multiparty unconditionally secure protocols", which was published in STOC 1988 by Chaum, Crépeau, and Damgård.

References

External links Home page of Ivan Damgård Ivan Damgård at the Mathematics Genealogy Project A list of publications of Ivan Damgård Chief Cryptographer, Partner at Partisia

Worked examples

Example 1 — a first encounter with Ivan Damgård

Start with the simplest possible case. Write down what Ivan Damgård claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer science, 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 Ivan Damgård 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 Ivan Damgård 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 Ivan Damgård

In research: Ivan Damgård appears in computer science 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 Ivan Damgård 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: Ivan Damgård is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1956 births, Academic staff of Aarhus University, Danish computer scientists, so understanding it makes those chapters shorter.
In everyday life: Look for Ivan Damgård 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 Ivan Damgård in 20 minutes

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

Frequently asked questions

What is Ivan Damgård in simple terms?

Why does Ivan Damgård matter?

Because it connects several computer science 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 Ivan Damgård?

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 Ivan Damgård.