science

Nikolaos Mavridis

Nikolaos Mavridis is a 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 Nikolaos Mavridis rather than just read about it. In short: Nikolaos Mavridis (born April 28, 1973) is the founder and director of the Interactive Robots and Media Lab (IRML), and a PhD graduate from the Massachusetts Institute of Technology. He is also an assistant professor of research at the Computer Science department, New York University Polytechnic, and adjunct researcher at NCSR Demokritos.

Key takeaways

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

Reference excerpt

Nikolaos Mavridis (born April 28, 1973) is the founder and director of the Interactive Robots and Media Lab (IRML), and a PhD graduate from the Massachusetts Institute of Technology. He is also an assistant professor of research at the Computer Science department, New York University Polytechnic, and adjunct researcher at NCSR Demokritos. Before his PhD, he was awarded an M.Sc. from the University of California, Los Angeles, and an M.Eng. (summa cum laude) from the Aristotle University of Thessaloniki. His research interests include human–robot interaction, and especially verbal and non-verbal communication with robots, artificial intelligence, machine perception, and cognitive systems. Mavridis and his work at the Interactive Robots and Media Lab received coverage from media of more than 20 countries, such as the BBC, Agence France-Presse (AFP), The National (Abu Dhabi), Al Jazeera TV, etc. Furthermore, Mavridis has been a TEDx Speaker twice, at TEDx Al Ain and TEDx Athens. Apart from his academic activities, Mavridis has been a pro-bono contributor to several organizations: as a mentor in The Next Generation Initiative, a vice-president and executive committee member at the MIT HSA, as a vice-president to the Hellenic Artificial Intelligence Society, as a bid preparer and presenter and technical committee member that brought the World Robot Olympiad to Abu Dhabi, and as the founding chair of the IEEE UAE Robotics and Automation Society. He is also an active member of the Horasis think tank based in Switzerland, whose purpose is to "enact visions for a sustainable future" through new platforms for cooperation and knowledge-sharing, particularly between developed countries and emerging markets. Furthermore, Mavridis is a member of the National Committee of the Recreate Greece liberal party, and as a parliamentary candidate finished second in the May 2012 National Election in the district of A' Athens.

References

External links Official website

Illustrations

Worked examples

Example 1 — a first encounter with Nikolaos Mavridis

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

In research: Nikolaos Mavridis appears in 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 Nikolaos Mavridis 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: Nikolaos Mavridis is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1973 births, Artificial intelligence researchers, Living people, so understanding it makes those chapters shorter.
In everyday life: Look for Nikolaos Mavridis 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 Nikolaos Mavridis in 20 minutes

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

Frequently asked questions

What is Nikolaos Mavridis in simple terms?

Why does Nikolaos Mavridis matter?

Because it connects several 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 Nikolaos Mavridis?

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 Nikolaos Mavridis.