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Ramesh K. Agarwal

From Wikipedia, the free encyclopedia

Ramesh K. Agarwal
Born1947 (1947) (age 77)[citation needed]
NationalityAmerican
AwardsClarence (Kelly) Johnson Aerospace Vehicle and Design Award[citation needed]
Reed Aeronautics Award[1]
Scientific career
FieldsComputational Fluid Dynamics, Computational Aeroacoustics
ThesisImprovement of Series with Applications to Fluid-Mechanics (1975)
Doctoral advisorMilton Van Dyke
Doctoral studentsMichael Wendl

Ramesh K. Agarwal is the William Palm Professor of Engineering in the department of Mechanical Engineering and Materials Science at Washington University in St. Louis.[2] He is also the director of Aerospace Engineering Program, Aerospace Research and Education Center and Computational Fluid Dynamics Laboratory[3] at WUSTL. From 1994 to 1996, he was the Sam Bloomfield Distinguished Professor and Chair of Aerospace Engineering department at Wichita State University in Wichita, Kansas.[citation needed] From 1996 to 2001, he was the Bloomfield Distinguished Professor and the executive director of the National Institute for Aviation Research at Wichita State University.[citation needed] Agarwal received Ph.D in Aeronautical Sciences from Stanford University in 1975, M.S. in Aeronautical Engineering from the University of Minnesota in 1969 and B.S. in Mechanical Engineering from Indian Institute of Technology, Kharagpur, India in 1968.

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Transcription

The brain is an amazing and complex organ. And while many people are fascinated by the brain, they can't really tell you that much about the properties about how the brain works because we don't teach neuroscience in schools. And one of the reasons why is that the equipment is so complex and so expensive that it's really only done at major universities and large institutions. And so in order to be able to access the brain, you really need to dedicate your life and spend six and a half years as a graduate student just to become a neuroscientist to get access to these tools. And that's a shame because one out of five of us, that's 20 percent of the entire world, will have a neurological disorder. And there are zero cures for these diseases. And so it seems that what we should be doing is reaching back earlier in the eduction process and teaching students about neuroscience so that in the future, they may be thinking about possibly becoming a brain scientist. When I was a graduate student, my lab mate Tim Marzullo and myself, decided that what if we took this complex equipment that we have for studying the brain and made it simple enough and affordable enough that anyone that you know, an amateur or a high school student, could learn and actually participate in the discovery of neuroscience. And so we did just that. A few years ago, we started a company called Backyard Brains and we make DIY neuroscience equipment and I brought some here tonight, and I want to do some demonstrations. You guys want to see some? So I need a volunteer. So right before -- what is your name? (Applause) Sam Kelly: Sam. Greg Gage: All right, Sam, I'm going to record from your brain. Have you had this before? SK: No. GG: I need you to stick out your arm for science, roll up your sleeve a bit, So what I'm going to do, I'm putting electrodes on your arm, and you're probably wondering, I just said I'm going to record from your brain, what am I doing with your arm? Well, you have about 80 billion neurons inside your brain right now. They're sending electrical messages back and forth, and chemical messages. But some of your neurons right here in your motor cortex are going to send messages down when you move your arm like this. They're going to go down across your corpus callosum, down onto your spinal cord to your lower motor neuron out to your muscles here, and that electrical discharge is going to be picked up by these electrodes right here and we're going to be able to listen to exactly what your brain is going to be doing. So I'm going to turn this on for a second. Have you ever heard what your brain sounds like? SK: No. GG: Let's try it out. So go ahead and squeeze your hand. (Rumbling) So what you're listening to, so this is your motor units happening right here. Let's take a look at it as well. So I'm going to stand over here, and I'm going to open up our app here. So now I want you to squeeze. (Rumbling) So right here, these are the motor units that are happening from her spinal cord out to her muscle right here, and as she's doing it, you're seeing the electrical activity that's happening here. You can even click here and try to see one of them. So keep doing it really hard. So now we've paused on one motor action potential that's happening right now inside of your brain. Do you guys want to see some more? (Applause) That's interesting, but let's get it better. I need one more volunteer. What is your name, sir? Miguel Goncalves: Miguel. GG: Miguel, all right. You're going to stand right here. So when you're moving your arm like this, your brain is sending a signal down to your muscles right here. I want you to move your arm as well. So your brain is going to send a signal down to your muscles. And so it turns out that there is a nerve that's right here that runs up here that innervates these three fingers, and it's close enough to the skin that we might be able to stimulate that so that what we can do is copy your brain signals going out to your hand and inject it into your hand, so that your hand will move when your brain tells your hand to move. So in a sense, she will take away your free will and you will no longer have any control over this hand. You with me? So I just need to hook you up. (Laughter) So I'm going to find your ulnar nerve, which is probably right around here. You don't know what you're signing up for when you come up. So now I'm going to move away and we're going to plug it in to our human-to-human interface over here. Okay, so Sam, I want you to squeeze your hand again. Do it again. Perfect. So now I'm going to hook you up over here so that you get the -- It's going to feel a little bit weird at first, this is going to feel like a -- (Laughter) You know, when you lose your free will, and someone else becomes your agent, it does feel a bit strange. Now I want you to relax your hand. Sam, you're with me? So you're going to squeeze. I'm not going to turn it on yet, so go ahead and give it a squeeze. So now, are you ready, Miguel? MG: Ready as I'll ever be. GG: I've turned it on, so go ahead and turn your hand. Do you feel that a little bit? MG: Nope. GG: Okay, do it again? MG: A little bit. GG: A little bit? (Laughter) So relax. So hit it again. (Laughter) Oh, perfect, perfect. So relax, do it again. All right, so right now, your brain is controlling your arm and it's also controlling his arm, so go ahead and just do it one more time. All right, so it's perfect. (Laughter) So now, what would happen if I took over my control of your hand? And so, just relax your hand. What happens? Ah, nothing. Why not? Because the brain has to do it. So you do it again. All right, that's perfect. Thank you guys for being such a good sport. This is what's happening all across the world -- electrophysiology! We're going to bring on the neuro-revolution. Thank you. (Applause)

Research work

Agarwal has worked mostly in computational simulation of fluid flows. He developed a third-order upwind scheme in 1981[4] for the numerical integration of Navier-Stokes equations and did some of the early calculations of transonic wing-body interactions for aircraft.[5] He has also worked in control systems[6] and numerical simulation of carbon sequestration.[7] He also proposed the Wray-Agarwal one-equation turbulence model in 2015[8] which is a linear eddy viscosity model, derived from a k–omega turbulence model closure.

Recognition

Dr. Agarwal has been honored with the Reed Aeronautics Award and is a fellow of several professional and honorary societies, including the Royal Aeronautical Society[9]

References

  1. ^ AIAA Reed Aeronautics Award Recipients
  2. ^ Washington University Endowed Professorships: A Distinguished Tradition (2006) Washington University Press, pp 275.
  3. ^ "CFD Lab Homepage Washington university". research.engineering.wustl.edu. Archived from the original on 2018-10-05. Retrieved 2021-01-08.
  4. ^ R.K. Agarwal, “A Third-Order-Accurate Upwind Scheme for Navier-Stokes Solutions at High Reynolds Number,” AIAA Paper 81-0112, 1981.
  5. ^ JE Deese and RK Agarwal (1988) Navier-Stokes calculations of transonic viscous flow about wing-body configurations. J. Aircraft 25(12) 1106.
  6. ^ P Shi, EH Boukas, and RK Agarwal (1999) Control of Markovian jump discrete-time systems with norm bounded uncertainty and unknown delay. IEEE Trans. Auto. Control 44(11) 2139.
  7. ^ R Safi, RK Agarwal, and S Banerjee (2016) Numerical simulation and optimization of CO2 utilization for enhanced oil recovery from depleted reservoirs. Chem. Eng. Sci. 144, 30.
  8. ^ Wray T.J., Agarwal R.K., "A New Low Reynolds Number One Equation Turbulence Model Based on a k-omega Closure," AIAA Journal, Vol. 53, No. 8, 2015, pp. 2216-2227
  9. ^ B Miller (2015) Agarwal receives Honorary Fellowship from Royal Aeronautical Society

External links

This page was last edited on 13 January 2024, at 18:06
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