engineering

Leung Tsang

Leung Tsang is a engineering 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 Leung Tsang rather than just read about it. In short: Leung Tsang is an American electrical engineer, who is a professor of Electrical Engineering and Computer Science at the University of Michigan. He is best known for his contributions to the theory and computation of wave scattering, rough surface scattering and microwave remote sensing.

Key takeaways

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

Reference excerpt

Leung Tsang is an American electrical engineer, who is a professor of Electrical Engineering and Computer Science at the University of Michigan. He is best known for his contributions to the theory and computation of wave scattering, rough surface scattering and microwave remote sensing.

Biography Leung Tsang was born and grew up in British Hong Kong. Completing high school education at Wah Yan College, he received S.B., S.M., and Ph.D. degrees all from the Department of Electrical Engineering and Computer Science of the Massachusetts Institute of Technology. During his doctoral studies, he was advised by Jin Au Kong. From 1981 and 1983, he was with the Department of Electrical Engineering at Texas A&M University, where he became an assistant professor. From 1983 to 2014, he was a professor of Electrical Engineering at University of Washington, where he acted as a department chair from 2006 to 2011. In January 2015, he joined University of Michigan as a professor of Electrical Engineering and Computer Science. Tsang is a fellow member of IEEE and Optica. He was the president of IEEE Geoscience and Remote Sensing Society from 2006 to 2007; previously, he served as the Editor-in-Chief of the IEEE Transactions on Geoscience and Remote Sensing, sponsored by the same society. In 2020, he was elected to the National Academy of Engineering for "contributions in wave scattering and microwave remote sensing theories for satellite missions."

Selected publications

Books Tsang, L.; Kong, J. A.; Shin, R. (1985). Theory of Microwave Remote Sensing. Wiley. Tsang, L.; Kong, J. A.; Ding, K.H. (2000). Scattering of Electromagnetic Waves, Vol. 1: Theory and Applications. Wiley. Tsang, L.; Kong, J. A.; Ding, K.H.; Ao, C. O. (2000). Scattering of Electromagnetic Waves, Vol. 2: Numerical Simulations. Wiley. Tsang, L.; Kong, J. A. (2000). Scattering of Electromagnetic Waves, Vol. 3: Advanced Topics. Wiley.

Journal articles Tsang, L; Rader, D. (October 1979). "Numerical evaluation of the transient acoustic waveform due to a point source in a fluid-filled borehole". Geophysics. 44 (10): 1637–1769. Bibcode:1979Geop...44.1706T. doi:10.1190/1.1440932. Tsang, Leung; Ishimaru, Akira (1984). "Backscattering enhancement of random discrete scatterers". Journal of the Optical Society of America A. 1 (8): 836–839. Bibcode:1984JOSAA...1..836T. doi:10.1364/JOSAA.1.000836. Tsang, Leung; Chen, Chi-Te; Chang, Alfred T. C.; et al. (May–June 2000). "Dense media radiative transfer theory based on quasicrystalline approximation with applications to passive microwave remote sensing of snow". Radio Science. 35 (3): 731–749. Bibcode:2000RaSc...35..731T. doi:10.1029/1999RS002270. Chen, K.S.; Wu, Tzong-Dar; Tsang, Leung; et al. (January 2003). "Emission of rough surfaces calculated by the integral equation method with comparison to three-dimensional moment method simulations". IEEE Transactions on Geoscience and Remote Sensing. 41 (1): 90–101. Bibcode:2003ITGRS..41...90C. doi:10.1109/TGRS.2002.807587. Kelly, R. E.; Chang, A. T.; Tsang, L.; et al. (February 2003). "A prototype AMSR-E global snow area and snow depth algorithm". IEEE Transactions on Geoscience and Remote Sensing. 41 (2): 230–242. Bibcode:2003ITGRS..41..230K. doi:10.1109/TGRS.2003.809118.

References

External links Official website

Worked examples

Example 1 — a first encounter with Leung Tsang

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

In research: Leung Tsang appears in engineering 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 Leung Tsang 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: Leung Tsang is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1950 births, 20th-century American engineers, 20th-century Chinese engineers, so understanding it makes those chapters shorter.
In everyday life: Look for Leung Tsang 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 Leung Tsang in 20 minutes

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

Frequently asked questions

What is Leung Tsang in simple terms?

Why does Leung Tsang matter?

Because it connects several engineering 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 Leung Tsang?

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 Leung Tsang.