astronomy

Tinku Acharya

Tinku Acharya 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 Tinku Acharya rather than just read about it. In short: Tinku Acharya is an Indian computer scientist, technologist and fellow of the American institute, the IEEE. Early life and education Tinku Acharya was born in Howrah, West Bengal, India.

Key takeaways

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

Reference excerpt

Tinku Acharya is an Indian computer scientist, technologist and fellow of the American institute, the IEEE.

Early life and education Tinku Acharya was born in Howrah, West Bengal, India. He received his BSc, BTech and MTech in CS from the Calcutta University in 1987. He completed PhD in Computer Science from the Central Florida University in 1994, USA with specialization in VLSI Architectures and Algorithms for Data Compression.

Career From 1996 to 2002, Acharya worked at Intel Corporation USA. He led several R&D and algorithm development teams in Intel Corporation (USA) to develop digital camera, electronic imaging systems and reprographics architecture for color photocopiers, and high-performance VLSI architectures. In late 90's, he developed the 'key image processing chain’ to map them into a small foot-print silicon for first dual-mode digital camera (Intel Corporation, USA). During 1998 to 2002, he was an adjunct professor in the Department of Electrical engineering, Arizona State University, Tempe, Arizona. And Adjunct Professor at IIT Kharagpur in Electronics & Electrical Communication Engineering. Tinku Acharya also served JPEG 2000 Standard Committee of in the US National Body in the International Organization for Standardization. He wrote the first book on JPEG 2000 Standard of this scalable image compression for its VLSI and software implementations. Acharya started Videonetics in 2008, an artificial intelligence and deep learning-powered video computing platform company selected as Technology Pioneer by World Economic Forum. Acharya contributed in modern enterprise-class Video Management System, Intelligent Video Analytics applications, and an Artificial Intelligence-based Unified Video Computing Platform. Acharya worked at AT&T Labs, USA before joining Intel Corporation. He also served as the Director – IT at Intellectual Ventures from 2008 to 2012. Acharya has collaborated with Eastman Kodak, Indian Statistical Institute Indian Institute of Science and many more. Tinku Acharya participates and contributes in many activities promoting and advancement of science and technology in various fields in India. He served as a member of the Research Advisory Board of National Council of Science Museums, Ministry of Culture, Govt. of India. He was also a Governing Body Member of the Technology Innovation Hub at the Indian Institute of Technology, Patna.

Invention

Acharya introduced the concept of "Sixel" (Sensory Elements) to unify multiple heterogenous types of sensory data into a single data structure like static image or motion pictures (video) to process all correlated sensory data using single analytical processing framework. He is inventor of over 180 international patents. He is an expert in Intelligent Video processing, Artificial Intelligence, Video IoT (Internet of Things) and their pragmatic mapping in various multicore computing architectures and VLSI, actively engaged and influenced the development of today's Intelligent Video Analytics and Scalable Intelligent Video Management System since early 2000's.

Awards and recognition Acharya received many awards and recognition during his career. Some of the notables are as follows.

Acharya was elevated to the status of IEEE Fellow in 2010 for his "contribution to the advancement of large scale integration algorithms and architectures for electronic image processing." In 2010, Acharya was the first recipient of the Acharya Prafulla Chandra Ray Memorial Award from the Institute of Pulmocare and Research for achievements in science and entrepreneurship. 2009 NASI-Reliance Platinum Jubilee Award from the National Academy of Sciences, India for Innovation in Physical Sciences’. In 2008, he received the ‘Engineer of the Year’ award from IEEE Phoenix, USA and ‘Outstanding Engineer’ award from IEEE Southwest Region, US.

References

Illustrations

Worked examples

Example 1 — a first encounter with Tinku Acharya

Start with the simplest possible case. Write down what Tinku Acharya 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 Tinku Acharya 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 Tinku Acharya 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 Tinku Acharya

In research: Tinku Acharya 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 Tinku Acharya 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: Tinku Acharya is common in secondary-school and first-year university syllabi. It links to neighbouring topics Bengali scientists, Fellows of the IEEE, Indian computer scientists, so understanding it makes those chapters shorter.
In everyday life: Look for Tinku Acharya 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 Tinku Acharya in 20 minutes

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

Frequently asked questions

What is Tinku Acharya in simple terms?

Tinku Acharya is an Indian computer scientist, technologist and fellow of the American institute, the IEEE. Early life and education Tinku Acharya was born in Howrah, West Bengal, India.

Why does Tinku Acharya 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 Tinku Acharya?

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 Tinku Acharya.