astronomy

Ramalingam Chellappa

Ramalingam Chellappa 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 Ramalingam Chellappa rather than just read about it. In short: Ramalingam "Rama" Chellappa is a Bloomberg Distinguished Professor, who works at Johns Hopkins University. At Johns Hopkins University, he is a member of the Center for Language and Speech Processing, the Center for Imaging Science, the Institute for Assured Autonomy, and the Mathematical Institute for Data Sciences.

Key takeaways

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

Reference excerpt

Ramalingam "Rama" Chellappa is a Bloomberg Distinguished Professor, who works at Johns Hopkins University. At Johns Hopkins University, he is a member of the Center for Language and Speech Processing, the Center for Imaging Science, the Institute for Assured Autonomy, and the Mathematical Institute for Data Sciences. He joined Johns Hopkins University after 29 years at The University of Maryland. Before that, he was an assistant, associate professor, and later, director, of the University of Southern California's Signal and Image Processing institute. Ramalingam was born near Chennai, in Southern India.

Education Ramalingam received his PhD of Electrical Engineering at Purdue University, as well as his MSEE. He has a Master of Engineering (Distinction) of Electrical and Communication Engineering from The Indian Institute of Science (1977), and a Bachelor of Engineering (Honors) of Electrical and Communication Engineering from The University of Madras (1975).

Work at The University of Southern California During Ramalingam's time at the University of Southern California, he was worked at the Signal and Image Processing institute, as an assistant from 1981 to 1986, associate professor during 1986 to 1991, and director during 1988 to 1990.

Work at The University of Maryland During his time at The University of Maryland, Ramalingam Chellappa was a professor of The Department of Electrical and Computer Engineering and a Permanent Member of UMIACS, as well as an affiliate professor at The Department of Computer Science.

Work at Johns Hopkins University Ramalingam currently works at Johns Hopkins University, and is researching artificial intelligence, facial recognition, machine learning, motion capture, and computer imaging. He is a Life Fellow of IEEE, and a Fellow of AAAI, AAAS, ACM, AIMBE, IAPR, NAI and Optica and served as the President of the IEEE Biometrics Council, a distinguished lecturer of the IEEE Signal Processing Society, and holds 9 patents.

Awards IEEE Computer Society PAMI Azriel Rosenfeld Lifetime Achievement Award (2025 Recipient) Induction into the Innovation Hall of Fame, A.J. Clark School of Engineering, UMD (2025) Edwin H. Land Medal (2024 Recipient) Foreign Fellow, Indian National Academy of Engineering (2024) IEEE Computer Society PAMI Distinguished Researcher Award (2023 Recipient) Washington Academy of Sciences (2023 Distinguished Career Award Recipient) National Academy of Engineering (2023 Member) IEEE Jack S. Kilby Signal Processing Medal (2020 Recipient) IEEE Signal Processing Society Award IEEE Signal Processing Society (Technical Achievement and Meritorious Service Awards) NSF Presidential Young Investigator Award IBM Faculty Development Award (4 in total) International Association for Pattern Recognition King-Sun Fu Prize Award, Best Paper Awards (2 in total) IEEE Computer Society Technical Achievement and Meritorious Service Awards Office of Technology Commercialization Outstanding Innovator Award

Publications Chellappa has published more than 750 peer-reviewed articles in top journals. He has an h-index of 143.

Pubmed citations Google Scholar citations

Books Can We Trust AI?, Johns Hopkins University Press 2022

Highly Cited Articles 2003, W Zhao, R Chellappa, PJ Phillips, A Rosenfeld, Face Recognition: A Literature Survey, in ACM Computing Surveys (CSUR). Vol. 35 nº4, 399-458. 1995, R Chellappa, CL Wilson, S Sirohey, Human and Machine Recognition of Faces: A Survey, in Proceedings of the IEEE. Vol. 83, nº5, 705-741. 2008, P Turaga, R Chellappa, VS Subrahmanian, O Udrea, Machine Recognition of Human Activities: A Survey, in IEEE Transactions on Circuits and Systems for Video Technology. Vol. 18 nº11, 1473-1488. 1997, K Etemad, R Chellappa, Discriminant Analysis for Recognition of Human Face Images, in Journal of the Optical Society of America. Vol. 14 nº8, 1724-1733.

References

Worked examples

Example 1 — a first encounter with Ramalingam Chellappa

Start with the simplest possible case. Write down what Ramalingam Chellappa 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 Ramalingam Chellappa 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 Ramalingam Chellappa 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 Ramalingam Chellappa

In research: Ramalingam Chellappa 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 Ramalingam Chellappa 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: Ramalingam Chellappa is common in secondary-school and first-year university syllabi. It links to neighbouring topics American computer scientists, Electrical engineering academics, Fellows of the Association for the Advancement of Artificial Intelligence, so understanding it makes those chapters shorter.
In everyday life: Look for Ramalingam Chellappa 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 Ramalingam Chellappa in 20 minutes

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

Frequently asked questions

What is Ramalingam Chellappa in simple terms?

Why does Ramalingam Chellappa 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 Ramalingam Chellappa?

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 Ramalingam Chellappa.