mathematics

Kevin M. Short

Kevin M. Short is a mathematics 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 Kevin M. Short rather than just read about it. In short: Kevin M. Short (born June 23, 1963) is an American mathematician and entrepreneur.

Key takeaways

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

Reference excerpt

Kevin M. Short (born June 23, 1963) is an American mathematician and entrepreneur. He is a professor of Applied Mathematics at the University of New Hampshire. He is also co-founder and Chief Technology Officer (CTO) at Setem Technologies, in Newbury, Massachusetts. Since 1994, when he began at UNH, Short's academic research and work has continually focused on tying together nonlinear chaos theory and signal processing so that nonlinearity can play a major role in the future of technology development.

Education Short grew up and attended high school in Suffern, New York. He completed his undergraduate work at the University of Rochester in 1985, receiving both a B.S. in Physics and a B.A. in geology. He then attended the Imperial College of London on a Marshall Scholarship, where he earned his PhD in Theoretical Physics. In 1994, Short joined the University of New Hampshire's Department of Mathematics as an assistant professor. At UNH, Short presently holds the position of University Professor.

Research In 1996, Short developed and patented a technology called CCT, or Chaotic Compression Technology. Claimed to be "fundamentally different" from existing technology, CCT used nonlinear mathematical equations to produce complex waveforms. These waveforms were then transmitted through the Internet or any communications device, requiring far less bandwidth to transmit the same amount of data than the existing technology. CCT was widely used whenever music or ringtones were downloaded to a cell phone device.

Business ventures

Chaoticom In 2001, Short founded Chaoticom (later renamed Grove Mobile), where he served as the Director and Chief Technology Officer. Chaoticom was the first ever University spin-off company at UNH, and it sought to commercialize Short's research at the university and his patented Chaotic Compression Technology (CCT). Chaoticom applied CCT towards a direct to cell phone mobile music download service, and many innovations within the company led to patenting. The company was acquired by LiveWire Mobile Inc. in March 2008.

Setem Technologies In 2012, Short co-founded Setem Technologies, where he continues to serve as Chief Technical Officer. Another UNH spinoff company, Setem seeks to use Short's mathematical theorems and signal separation technology to enhance the voice clarity and audio signals in today's voice and speech recognition products (i.e.-cell phones, headsets, hearing aids, voice-activated electronics).

Grammy Award Short was instrumental in using his Chaotic Compression Technology to restore a bootleg wire recording of a Woody Guthrie concert that is the only known recording of the folk singer performing before a live audience. His work with the project helped earn him and a small team of producers and engineers the 2008 Grammy Award for Best Historical Album: The Live Wire - Woody Guthrie In Performance 1949. Singer-songwriter Nora Guthrie and Jorge Arévalo Mateus were the compilation producers, while Jamie Howarth, Steve Rosenthal, Warren Russell-Smith and Dr. Kevin Short were mastering engineers.

Awards and honors

National Academy of Inventors Fellow (2015) Innovator of the Year (2012) Entrepreneurial Venture Creation Person of the Year (2008) Grammy Award (2008)

Selected publications K. M. Short; K. Zarringhalam (2008), "An adaptive multiresolution image analysis using compact cupolets", Nonlinear Dynamics, 1–2 (52): 51–70 K. M. Short; R. A. Garcia (May 2006), Signal analysis using complex spectral phase evolution method, Audio Engineering Society 120th Convention K. M. Short (1997), "Detection of teleseismic events in seismic sensor data using nonlinear dynamic forecasting", International Journal of Bifurcation and Chaos, 7 (8): 1833–1845, Bibcode:1997IJBC....7.1833S, doi:10.1142/S0218127497001400

References

Worked examples

Example 1 — a first encounter with Kevin M. Short

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

In research: Kevin M. Short appears in mathematics 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 Kevin M. Short 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: Kevin M. Short is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1963 births, American mathematicians, Living people, so understanding it makes those chapters shorter.
In everyday life: Look for Kevin M. Short 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 Kevin M. Short in 20 minutes

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

Frequently asked questions

What is Kevin M. Short in simple terms?

Kevin M. Short (born June 23, 1963) is an American mathematician and entrepreneur.

Why does Kevin M. Short matter?

Because it connects several mathematics 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 Kevin M. Short?

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 Kevin M. Short.