computer science

Mohammad Hajiaghayi

Mohammad Hajiaghayi 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 Mohammad Hajiaghayi rather than just read about it. In short: Mohammad Taghi Hajiaghayi (Persian: محمد تقی‌ حاجی آقائی) is a computer scientist known for his work in algorithms, game theory, social networks, network design, graph theory, and big data. He has over 200 publications with over 185 collaborators and 10 issued patents.

Key takeaways

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

Reference excerpt

Mohammad Taghi Hajiaghayi (Persian: محمد تقی‌ حاجی آقائی) is a computer scientist known for his work in algorithms, game theory, social networks, network design, graph theory, and big data. He has over 200 publications with over 185 collaborators and 10 issued patents. He is the Jack and Rita G. Minker Professor at the University of Maryland Department of Computer Science.

Professional career Hajiaghayi received his PhD in applied mathematics and computer science from Massachusetts Institute of Technology in 2005 advised by Erik Demaine and F. Thomson Leighton. His thesis was The Bidimensionality Theory and Its Algorithmic Applications. It founded the theory of bidimensionality which later received the Nerode Prize and was the topic of workshops. Hajiaghayi has been the coach of the University of Maryland ACM International Collegiate Programming team in the World Finals.

Honors and awards Hajiaghayi's has received National Science Foundation CAREER Award (2010), Office of Naval Research Young Investigator Award (2011), University of Maryland Graduate Faculty Mentor of the Year Award (2015), as well as Google Faculty Research Awards (2010 & 2014). So far Hajiaghayi has raised more than $4 million in terms of grant award money from government and industry since joining the University of Maryland. With his co-authors Erik Demaine, Fedor Fomin, and Dimitrios Thilikos, he received the 2015 European Association for Theoretical Computer Science Nerode Prize for his work (also the topic of his Ph.D. thesis) on bidimensionality, a general technique for developing both fixed-parameter tractable exact algorithms and approximation algorithms for a wide class of algorithmic problems on graphs. Hajiaghayi has been elected as an ACM Fellow in 2018 "for contributions to the fields of algorithmic graph theory and algorithmic game theory." Hajiaghayi has been elected as an IEEE Fellow in 2019 "for contributions to algorithmic graph theory and to algorithmic game theory." Hajiaghayi has been elected as an EATCS Fellow in 2020 "his contributions to the theory of algorithms, in particular algorithmic graph theory, game theory, and distributed computing." In 2019, Hajiaghayi was awarded a fellowship by the John Simon Guggenheim Memorial Foundation. In 2020, he was selected as an honoree of Blavatnik Awards for Young Scientists.

References

External links Hajiaghayi's homepage List of publications Citations of his work

Illustrations

Worked examples

Example 1 — a first encounter with Mohammad Hajiaghayi

Start with the simplest possible case. Write down what Mohammad Hajiaghayi 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 Mohammad Hajiaghayi 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 Mohammad Hajiaghayi 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 Mohammad Hajiaghayi

In research: Mohammad Hajiaghayi 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 Mohammad Hajiaghayi 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: Mohammad Hajiaghayi is common in secondary-school and first-year university syllabi. It links to neighbouring topics American theoretical computer scientists, Fellows of the Association for Computing Machinery, Graph theorists, so understanding it makes those chapters shorter.
In everyday life: Look for Mohammad Hajiaghayi 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 Mohammad Hajiaghayi in 20 minutes

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

Frequently asked questions

What is Mohammad Hajiaghayi in simple terms?

Why does Mohammad Hajiaghayi 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 Mohammad Hajiaghayi?

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 Mohammad Hajiaghayi.