Finding your Future. 10/21/2014 ECE Graduate Seminar

Transcription

1 Finding your Future H. Scott Hinton, FIEEE, FOSA Professor, ECE Department President, Utah State University Research Foundation Director, USTAR Synthetic Biomanufacturing Institute 1

2 Following Opportunities My Career Pathway Computer Architecture Automatic Speech Recognition Photonic Switching Optical Backplanes Engineering Education Metabolic Modeling Your Future Opportunities Creating Your Future 2

3 Computer Hardware Motorola (16/32 bit) Intel 8086(16 bit) 3

4 Following Opportunities My Career Pathway Computer Architecture Automatic Speech Recognition Photonic Switching Optical Backplanes Engineering Education Metabolic Modeling Your Future Opportunities Creating Your Future 4

5 Automatic Speech Recognition 5

6 Following Opportunities My Career Pathway Computer Architecture Automatic Speech Recognition Photonic Switching Optical Backplanes Engineering Education Metabolic Modeling Your Future Opportunities Creating Your Future 6

7 Photonic Switching (1987) W. A. Payne and H. S. Hinton, "Design of Lithium Niobate Photonic Switching Systems," IEEE Communications Magazine, May 1987, Vol. 25, No. 5, pp x4 LiNbO 3 Guided-wave System (AT&T - Bell Laboratories) 7

8 Smart Pixel Arrays Electrical I/O Optical Inputs Electrical Inputs & Outputs Optical Outputs Detector Modulator or Emitter Optical I/O Detector Electronics Gain & Processing Detector Modulator or Emitter Aggregate Throughput Smart Pixel Array Smart Pixel (H. S. Hinton, Journal of Selected Areas of Communications, August 1988) 8 H. S. Hinton, "Progress in the Smart Pixel Technologies," IEEE Journal on Selected Topics in Quantum Electronics. Vol. 2, No.1, April 1996, pp

9 Photonic Switching ( ) System 1 (1988, AT&T - Bell Laboratories) System 2 (1989, AT&T - Bell Laboratories) 9

10 Symmetric-SEED Arrays 10

11 Photonic Switching ( ) System 3 (1990, AT&T - Bell Laboratories) System 4 (1991, AT&T - Bell Laboratories) 11

12 [N,F,s,P(B),n,α] EGS Networks N Inputs For series-parallel networks P(B) = 1 1 p β Fan-Out Fan-In (F ) (F ) Parallel Stages Paths s stages; (n,n, α) nodes P(B)=10 x N Outputs For EGS networks p = 1 (Fully loaded network) ( ) = β P B = 1 1 n 1 Fn α 1 MixingLink Stages s α +1 Fn s N Paths where α = n-modules c = 1 c = n x s F 15 [256,F,s,P(B),2,0 ] EGS Network ( H. S. Hinton et al, Photonics in Switching II, J. E. Midwinter ed., Academic Press, 1993) 12

13 Photonic Switching (1993) System 5 (1993, AT&T - Bell Laboratories) AT&T System 5 FET-seed Chip 13

14 Operational FET-SEED SPA Single Smart Pixel 14

15 AT&T System 5 Optomechanics F. B. McCormick, Applied Optics, Vol. 33, March 10, 1994, pp

16 AT&T Demonstrators 16 H. S. Hinton, T. J. Cloonan, F. B. McCormick, A. L. Lentine, and F. A. P. Tooley, "Free-space Digital Optical Systems, Proceedings of the IEEE, vol. 82, no. 11, pp , November 1994.

17 AT&T Switching Demonstrators System 1 System 3 System System 2 System 4 17 H. S. Hinton, T. J. Cloonan, F. B. McCormick, A. L. Lentine, and F. A. P. Tooley, "Free-space Digital Optical Systems, Proceedings of the IEEE, vol. 82, no. 11, pp , November 1994.

18 Si:CMOS/GaAs MQW Smart Pixels 250 Mb/s per Channel 4x4 Array K. W. Goossen, LEOS 94 Postdeadline Paper 18

19 Following Opportunities My Career Pathway Computer Architecture Automatic Speech Recognition Photonic Switching Optical Backplanes Engineering Education Metabolic Modeling Your Future Opportunities Creating Your Future 19

20 Free-space Optical Backplanes (1996) OHM T. H. Szymanski and H. S. Hinton, Journal of Parallel and Distributed Computing, 1998 Fiber-based Optical Power HyperPlane CMOS-SEED SPA Buffered HyperPlane Architecture 4x9 SPA ~60 transistors/sp ~20,600 total transistors 144 optical I/O Knockout Extraction Address recognition 3 ATM cell buffers ATM priority bits 20 D. J. Goodwill, K. D. Devenport, and H. S. Hinton, IEEE Journal on Selected Topics in Quantum Electronics., April 1996.

21 Following Opportunities My Career Pathway Computer Architecture Automatic Speech Recognition Photonic Switching Optical Backplanes Engineering Education Metabolic Modeling Your Future Opportunities Creating Your Future 21

22 Virtual Circuit Laboratory 22 Hess Hodge, H. Scott Hinton, and Michael Lightner, Virtual Circuit Laboratory, ASEE Journal of Engineering Education, October, 2001, pp

23 elearning Design Lab 23

24 Following Opportunities My Career Pathway Computer Architecture Automatic Speech Recognition Photonic Switching Optical Backplanes Engineering Education Metabolic Modeling Your Future Opportunities Creating Your Future 24

25 Metabolic Pathways Orth, J. D., I. Thiele, et al. (2010). "What is flux balance analysis?" Nature biotechnology 28(3):

26 Stoichiometric Matrix & Flux Optimization Maximize the objective function Z = cv = c v i with the following constraints where dx = S v= 0 dt α v β i j j j x = concentration vector v = flux vector c = objective function weights S = Stoichiometric matrix α j = Lower bound of flux β j = upper bound of flux i 26 Becker, S. A., A. M. Feist, et al. (2007). "Quantitative prediction of cellular metabolism with constraint-based models: the COBRA Toolbox." Nature protocols 2(3):

27 E.Coli Metabolic Genome-Scale Metabolic Model ijo1366 E.coli Model 1366 genes, 2251 metabolic reactions, 1136 unique metabolites BIGG 27 Orth JD, et al. (2011) A comprehensive genome-scale reconstruction of Escherichia coli metabolism Mol Syst Biol 7:535.

28 Nutrient Management for Spider Silk Production Growth rate Substrate Concentrations g biomass/gdw*h ala-l(e) arg-l(e) asn-l(e) asp-l(e) cl(e) cu2(e) cys-l(e) fe3(e) glc(e) gln-l(e) glu-l(e) gly(e) his-l(e) ile-l(e) k(e) leu-l(e) lys-l(e) met-l(e) mg2(e) mn2(e) mobd(e) na1(e) nh4(e) phe-l(e) pi(e) pro-l(e) ser-l(e) so4(e) thm(e) thr-l(e) tyr-l(e) val-l(e) zn2(e) Concentrations (mmol/l) NH Time steps Time steps New Synthetic Biomanufacturing Scale-up Facility 28 Sarah Allred, Metabolic Modeling of Spider Silk Production in Escherichia coli, USU MS Thesis, 2014

29 Following Opportunities My Career Pathway Computer Architecture Automatic Speech Recognition Photonic Switching Optical Backplanes Engineering Education Metabolic Modeling Your Future Opportunities Creating Your Future 29

30 Your Future Opportunities (Extending Human Senses) Vision Visualization Systems Hearing/Speech Communications Systems Speech Recognition Speech Synthesis Taste Food Engineering Cellular Engineering Tissue Engineering Smell Molecular Sensors Artificial Noses Touch Haptic Interfaces Robotic Limbs Environment Management Intelligent Systems Sustainable Engineering Energy Creation & Management Health Molecular Engineering Cellular Engineering Tissue Engineering Metabolic Engineering BioSystems Engineering Bioinstrumentation Transportation Systems Energy Management Driver-less Vehicles Aerospace Systems Space Systems Protection & Security UAVs Weapons Cyber Security 30

31 Following Opportunities My Career Pathway Computer Architecture Automatic Speech Recognition Photonic Switching Optical Backplanes Engineering Education Metabolic Modeling Your Future Opportunities Creating Your Future 31

32 Creating your Future Follow your passion! No one really cares about your career except you! Engineers use today, to create tomorrow! As a graduate student the most important thing you can learn is how to learn. There are many times in life when it is more important to know what you don t know, than what you do know. Don t be afraid of change and learning new things; the world is constantly changing, if you are not keeping up you are behind. A good understanding of ECE fundamentals will help you in almost any career path you follow in life. Enjoy the ride! 32

33 Finding your Future Take control of your destiny, don t leave it for others to control! 33

34 Thank You 34

35 My Career Path Sperry Univac Electronic Technician, Motorola, Government Electronics Division Electronic Technician, Brigham Young University Electronic Technician, Teaching Assistant, Instructor, Lockheed, Missiles and Space Division Associate Engineer, 1979 (Summer) AT&T Bell Laboratories Member of the Technical Staff, Supervisor Department Head Illinois Institute of Technology Instructor (Part-time), McGill University Professor: BNR-NT/NSERC Professor of Photonic Systems, University of Colorado at Boulder Hudson Moore Jr. Professor, University of Kansas Chair, EECS Department Deane E. Ackers Distinguished Professor, Co-Director, elearning Design Lab, Utah State University Dean, College of Engineering, Professor, ECE Department, Adjunct Professor, BE Department, Interim Director, USTAR Synthetic Biomanufacturing Institute, Director, USTAR Synthetic Biomanufacturing Institute, 2013 President, USU Research Foundation,