SpringerLink
Log in

A Creative Path Towards Becoming Female Engineer Enabling the Next Opportunities in Computing

  • Chapter
  • First Online:
Women in Microelectronics

Part of the book series: Women in Engineering and Science ((WES))

  • 280 Accesses

Abstract

This chapter shows my creative journey to becoming a female engineer working on the cutting edge of computation and neuromorphic techniques. This chapter shows my real-life journey from early childhood, early education, through my professional career as a faculty member at Georgia Tech. Through this timeframe, I have had the fortune to work on neurally inspired topics, programmable and configurable analog areas, and hel** to develop the future of computation. Through this timeframe I have walked through many non-technical paths resulting in experiences that are part of my larger story.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (Canada)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 34.99
Price excludes VAT (Canada)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 44.99
Price excludes VAT (Canada)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free ship** worldwide - see info
Hardcover Book
USD 44.99
Price excludes VAT (Canada)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free ship** worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Hasler P (1988) Implementing practical neural networks in silicon. In: Wescon conference, vol SS-1, Anaheim, CA, pp 1–7

    Google Scholar 

  2. Walker M, Hasler P, Akers L (1989) A CMOS neural network for pattern association. IEEE Micro 9(5):68–74

    Article  Google Scholar 

  3. Tsividis Y, Anastassiou D (1987) Switched-capacitor neural networks. Electron Lett 23(18):958–959

    Article  Google Scholar 

  4. Bankman D, Murmann B (2016) An 8-bit, 16 input, 3.2 pJ/op switched-capacitor dot product circuit in 28-nm FDSOI CMOS. In: IEEE Asian solid-state circuits conference

    Google Scholar 

  5. Greenwald R (2007) Quantum Hoops. In theaters starting, Nov 2, 2007

    Google Scholar 

  6. Hasler P, Akers L (1991) A continuous time synapse employing a refreshable multilevel memory. In: International joint conference on neural networks, July 1991, pp 563–568

    Google Scholar 

  7. Hasler P, Akers L (1992) Circuit implementation of a trainable neural network using the generalized Hebbian algorithm with supervised techniques. In: International joint conference on neural networks, June 1992, pp 160–165

    Google Scholar 

  8. Mead C (1990) Neuromorphic electronic systems. In: Proceedings of the IEEE, no 78, pp 1629–1636

    Google Scholar 

  9. Chawla R, Bandyopadhyay A, Srinivasan V, Hasler P (2004) A 531 nW/MHz, 128 x 32 current-mode programmable analog vector-matrix multiplier with over two decades of linearity. In: IEEE custom integrated circuits conference, October, pp. 651–654

    Google Scholar 

  10. Hasler J, Marr HB (2013) Finding a roadmap to achieve large neuromorphic hardware systems. Front Neurosci 7:118, pp 1–29

    Google Scholar 

  11. Hasler P, Diorio C, Minch BA, Mead CA (1994) Single transistor learning synapses. In: Tesauro G, Touretzky DS, Leen TK (eds) Advances in neural information processing systems 7. MIT Press, Cambridge, MA, pp 817–824

    Google Scholar 

  12. Hasler P, Diorio C, Minch B, Mead C (1995) Single transistor learning synapse with long term storage. IEEE Int Symp Circuits Syst 3:1660–1663

    Google Scholar 

  13. Minch BA, Diorio C, Hasler P, Mead C (1996) Translinear circuits using subthreshold floating-gate MOS transistors. Analog Integr Circ Sig Process 9:167–179

    Article  Google Scholar 

  14. Hasler P, Minch B, Diorio D, Mead C (1996) An autozeroing amplifier using pFET hot-electron injection. IEEE Int Symp Circuits Syst 3:325–328

    Google Scholar 

  15. Srinivasan V, Serrano GJ, Gray J, Hasler P (2007) A precision CMOS amplifier using floating-gate transistors for offset cancellation. IEEE J Solid State Circuits 42(2):280–291

    Article  Google Scholar 

  16. Srinivasan V, Serrano G, Twigg C, Hasler P (2008) A floating-gate-based programmable CMOS reference. IEEE Trans Circuits Syst I 55(11):3448–3456

    Article  Google Scholar 

  17. Hasler J (2019) Large-scale field programmable Analog arrays. In: IEEE proceedings

    Google Scholar 

  18. Hasler J (2016) Opportunities in physical computing driven by analog realization. In: IEEE International conference on rebooting computing, pp 1–8

    Google Scholar 

  19. Hasler J (2017) Starting framework for Analog numerical analysis for energy efficient computing. J Low Power Electr Appl 7(17):1–22

    Google Scholar 

  20. Hasler J, Kim S, Natarajan A (2018) Enabling energy-efficient physical computing through analog abstraction and IP reuse. J Low Power Electron Appl 8(4):47

    Article  Google Scholar 

  21. Hasler J (2019) Analog architecture complexity theory empowering ultra-low power configurable analog and mixed mode SoC systems. J Low Power Electron Appl 9(1):4

    Article  Google Scholar 

  22. Hasler J (2017) A roadmap for the artificial brain. In: IEEE spectrum, p 27

    Google Scholar 

  23. Farquhan E, Hasler P (2004) A bio-physically inspired silicon neuron. Int Symp Circuits Syst 1:309–312

    Google Scholar 

  24. Farquhar E, Hasler P (2005) A bio-physically inspired silicon neuron. IEEE Trans Circuits Syst I 52(3):477–488

    Article  Google Scholar 

  25. Gordon C, Farquhar E, Hasler P (2004) A family of floating-gate adapting synapses based upon transistor channel models. Int Symp Circuits Syst 1:317–320

    Google Scholar 

  26. Farquhar E, Abramson D, Hasler P (2004) A reconfigurable bidirectional active 2 dimensional dendrite model. Int Symp Circuits Syst 1:313–316

    Google Scholar 

  27. Brink S, Nease S, Hasler P, Ramakrishnan S, Wunderlich R, Basu A, Degnan B (2013) A learning- enabled neuron array IC based upon transistor channel models of biological phenomena. IEEE Trans Biomed Circuits Syst 7(1):71–81

    Article  Google Scholar 

  28. Lazzaro J, Wawrzynek J, Lippmann R (1996) A micropower analog VLSI HMM state decoder for wordspotting. In: NIPS’96: Proceedings of the 9th international conference on neural information processing systems, pp 727–733

    Google Scholar 

  29. Hasler P, Smith P, Farquhar E, Anderson D (2004) A neuromorphic IC connection between cortical dendritic processing and HMM classification. In: IEEE digital signal processing workshop, Aug, pp 334–337

    Google Scholar 

  30. George S, Hasler J, Koziol S, Nease S, Ramakrishnan S (2013) Low-power dendritic computation for wordspotting. J Low Power Elect Appl 3:78–98

    Google Scholar 

  31. Mead C, Conway L (1980) Introduction to VLSI system design. Addison-Wesley, Reading. ISBN 0-201-04358-0. Early drafts found at http://ai.eecs.umich.edu/people/conway/VLSI/VLSIText/VLSIText.html

    Google Scholar 

  32. Boylan JF (2003) She’s not there: a life in two genders. Broadway Books, New York

    Google Scholar 

  33. One summary overview would be A Girl Like Me: The Gwen Araujo Story, a biography television film, premiered on Lifetime Television in 2006

    Google Scholar 

  34. Hasler J (2017) Must be authentic to be prophetic. Contributed book chapter to Rainbow in The Word: LGBTQ Christians Biblical Memoirs

    Google Scholar 

  35. Small C (Nathan R) (2005) My Freshman year: what a professor learned by becoming a student. Cornell University Press, Ithaca

    Google Scholar 

  36. Zirschky A (2015) Beyond the screen: youth ministry for the connected but alone generation. Abingdon Press, Nashville

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Georgia Institute of Technology, Atlanta, GA, USA

    Jennifer Hasler

Authors
  1. Jennifer Hasler
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Jennifer Hasler .

Editor information

Editors and Affiliations

  1. Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, USA

    Alice Cline Parker

  2. Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC, USA

    Leda Lunardi

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Hasler, J. (2020). A Creative Path Towards Becoming Female Engineer Enabling the Next Opportunities in Computing. In: Parker, A., Lunardi, L. (eds) Women in Microelectronics. Women in Engineering and Science. Springer, Cham. https://doi.org/10.1007/978-3-030-46377-9_11

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-46377-9_11

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-46893-4

  • Online ISBN: 978-3-030-46377-9

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation