engineering

May Wang

May Wang 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 May Wang rather than just read about it. In short: May Dongmei Wang is a Chinese-American biomedical engineer whose research involves biomedical big data analytics, the interpretation and application of big data in medicine and biology, as generated from microarrays and quantum dots. She is a professor of biomedical engineering and Wallace H.

Key takeaways

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

Reference excerpt

May Dongmei Wang is a Chinese-American biomedical engineer whose research involves biomedical big data analytics, the interpretation and application of big data in medicine and biology, as generated from microarrays and quantum dots. She is a professor of biomedical engineering and Wallace H. Coulter Distinguished Faculty Fellow in the Wallace H. Coulter Department of Biomedical Engineering, a joint program of Georgia Tech, Emory University, and Peking University.

Education and career Wang has a bachelor's degree from Tsinghua University. She went to Georgia Tech for graduate study, earning three master's degrees in electrical engineering, applied mathematics, and computer science in 1991, 1993, and 1995 respectively, and completing a Ph.D. in electrical and computer engineering in 2000. Her doctoral dissertation, Video Coding and Transmission for Multimedia Communications Using a 3-D Graphics Model, was supervised by Russell M. Mersereau. She returned to Georgia Tech as a faculty member, solving a two-body problem with her husband, who was hired at the same time by Emory University. She was named as a Wallace H. Coulter Distinguished Faculty Fellow in 2021. She is chair of the Association for Computing Machinery special interest group in bioinformatics, computational biology, and biomedical informatics, SIGBio.

Recognition The American Institute for Medical and Biological Engineering listed Wang in their College of Fellows, in the class of 2015, "for outstanding contributions in biomedical and health informatics for personalized and predictive health and for providing technical leadership". She was named to the International Academy of Medical and Biological Engineering in 2020. Wang was named as an IEEE Fellow, in the 2022 class of fellows, "for contributions to biomedical informatics and AI".

References

External links May Wang publications indexed by Google Scholar

Worked examples

Example 1 — a first encounter with May Wang

Start with the simplest possible case. Write down what May Wang 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 May Wang 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 May Wang 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 May Wang

In research: May Wang 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 May Wang 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: May Wang is common in secondary-school and first-year university syllabi. It links to neighbouring topics American biomedical engineers, American women engineers, Chinese emigrants to the United States, so understanding it makes those chapters shorter.
In everyday life: Look for May Wang 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 May Wang in 20 minutes

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

Frequently asked questions

What is May Wang in simple terms?

Why does May Wang 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 May Wang?

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 May Wang.