computer science

Tal Rabin

Tal Rabin 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 Tal Rabin rather than just read about it. In short: Tal Rabin (Hebrew: טל רבין; born 1962) is a computer scientist and Professor of Computer and Information Science at the University of Pennsylvania and a Director at Amazon Web Services (AWS). She was previously the head of research at the Algorand Foundation and the head of the cryptography research group at IBM's Thomas J.

Key takeaways

Tal Rabin 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 Tal Rabin to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of Tal Rabin from memory before moving on to harder problems.

Reference excerpt

Tal Rabin (Hebrew: טל רבין; born 1962) is a computer scientist and Professor of Computer and Information Science at the University of Pennsylvania and a Director at Amazon Web Services (AWS). She was previously the head of research at the Algorand Foundation and the head of the cryptography research group at IBM's Thomas J. Watson Research Center.

Biography Rabin was born in Massachusetts and grew up in Jerusalem. As a child, she enjoyed solving riddles and playing strategic games. Her father, Michael Rabin, was a celebrated computer scientist who was responsible for many breakthroughs in the fields of computability and cryptography. She and her father co-authored a paper together. She is the mother of two daughters.

Career In 1986, she received her BSc from the Hebrew University of Jerusalem. She continued her studies there for her MSc (1988) and PhD (1994) degrees under the supervision of Professor Michael Ben-Or. Between 1994 and 1996, she was an National Science Foundation postdoctoral fellow at MIT. She later joined the cryptography group at the Thomas J. Watson Research Center and became head of the group in 1997. In 2020, she joined the University of Pennsylvania as the Rachleff Family Professor of Computer and Information Science. Rabin's research focuses on cryptography and network security, specifically the design of efficient and secure encryption algorithms. In addition, she studies secure distributed protocols and the theoretical foundations of cryptography, as well as number theory and the theory of algorithms and distributed systems. She has co-authored over 100 papers. She has also registered five patents in the US. Her research focuses on making communications over the Internet more secure. Her most cited works in this field focus on the design of digital signature schemes, which are widely used, among other applications, in protocols for secure web communication. Another focus is on a different scheme of encrypted communications called secret sharing. A sizable part of her work on these subjects is done in collaboration with Rosario Gennaro and Hugo Krawczyk. Rabin has been on the committees of many leading cryptography conferences, including TCC, Crypto, PKC and Eurocrypt. She was a council member of the Computing Community Consortium (2013–2016), a member of the executive committee of SIGACT (2012–2015), and a member of the editorial board of the Journal of Cryptology. She is a founder and organizer of the Women in Theory Workshop, a biennial event for graduate students in theoretical computer science. She is also involved in activities to make the field of encryption more accessible to the general public. In 2011, she took part in the World Science Festival, a popular science event held in New York City. In 2014, she took part in a similar event, the WNYC Science Fair.

Awards 2014: One of the 22 most powerful women engineers in the world by Business Insider 2014: Woman of Vision for innovation by the Anita Borg Institute 2015: IACR Fellow (International Association for Cryptologic Research) 2016: Fellow of the American Academy of Arts and Sciences 2017: ACM Fellow 2018: One of America's Top 50 Women In Tech by Forbes 2019: The RSA Award for Excellence in Mathematics 2023: The Dijkstra Prize for work in secure multiparty computation (MPC)

References

External links Tal Rabin's homepage Archived 19 September 2014 at the Wayback Machine, on the IBM research website A blog post about Tal Rabin in the blog A Smarter Planet a TEDx talk given by Tal Rabin ABIE Women of Vision Award Acceptance Speech

Illustrations

Worked examples

Example 1 — a first encounter with Tal Rabin

Start with the simplest possible case. Write down what Tal Rabin 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 Tal Rabin 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 Tal Rabin 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 Tal Rabin

In research: Tal Rabin 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 Tal Rabin 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: Tal Rabin is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1962 births, Fellows of the American Academy of Arts and Sciences, Fellows of the Association for Computing Machinery, so understanding it makes those chapters shorter.
In everyday life: Look for Tal Rabin 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 Tal Rabin in 20 minutes

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

Frequently asked questions

What is Tal Rabin in simple terms?

Why does Tal Rabin 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 Tal Rabin?

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 Tal Rabin.