Good point, Rich. Recognition is one of the great performance motivators. Design News is doing a number of recognition programs this year, including the Gadget Freak of the Year Award, the Golden Mousetrap Award, and the Lifetime Achievement Award.
We really look at this program as our (Design News') way of giving back to the design engineering community. We want to recognize the people who are doing some amazing things, but simply don't get the recognition that they deserve.
Let us know about her in the future, bobjengr. Not many students have a 4.0 in engineering. And, yes, I believe manufacturing (at least of big items that are expensive to transport) will be coming back in the U.S.
Hello Lauren, I know of one rising star but she is a sophomore at Purdue University. She chose Industrial Engineering and has high hopes of being on the front lines if and when manufacturing returns (BIG TIME) to our country. Jennifer has 4.00 and according to her dad, she has her study routines down pat. (He indicated she is so focused she takes notes on roll call.) At any rate, I suspect your notification is relative to graduate-working engineers and not students, but you can look for her name in years to come. Good post.
We were lucky to have an outstanding winner this past year in Punya Prakash of Texas Instruments, thanks to the many entries that provided a great group of nominees. We encourage companies to do the same again for 2014.
This award will work best when there is a wide assortment of nominees to choose from. So take a couple minutes and name someone you know who is making outstanding strides in the design enbgineering world.
In an age of globalization and rapid changes through scientific progress, two of our societies' (and economies') main concerns are to satisfy the needs and wishes of the individual and to save precious resources. Cloud computing caters to both of these.
For industrial control applications, or even a simple assembly line, that machine can go almost 24/7 without a break. But what happens when the task is a little more complex? That’s where the “smart” machine would come in. The smart machine is one that has some simple (or complex in some cases) processing capability to be able to adapt to changing conditions. Such machines are suited for a host of applications, including automotive, aerospace, defense, medical, computers and electronics, telecommunications, consumer goods, and so on. This discussion will examine what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.