Jason M. Allred

Brother Allred is a member of the faculty at Brigham Young University-Idaho in the Computer Science and Electrical Engineering Department.

Jason M. Allred

Education

  • Ph.D., Electrical and Computer Engineering, Purdue University, August 2021. Research area: Neuromorphic Computing. Dissertation: Adapting Neural Network Learning Algorithms for Neuromorphic Implementations [link].
  • Teaching Certificate, Engineering Education, Purdue University, May 2021.
  • M.S., Computer Engineering, Utah State University, August 2013. Thesis: Designing, Optimizing, and Sustaining Heterogeneous Chip Multiprocessors to Systematically Exploit Dark Silicon [link].
  • B.S., Computer Engineering, Brigham Young University–Idaho, July 2011. Summa Cum Laude. Presidential Scholar.

Professional Experience

  • Electronics Engineer. Department of Defense. Hill Air Force Base. Clearfield, UT. 2013-2015.
  • Software Intern. LabVIEW FPGA Hardware Team, National Instruments. Austin, TX. Certified LabVIEW Associate Developer. 2011.

Academic Research Experience

  • Graduate Research Assistant. Purdue University, Electrical and Computer Engineering Department. West Lafayette, IN. Research performed with Professor Kaushik Roy. [Center for Brain-Inspired Computing] [Nanoelectronics Research Lab]. 2015-2021.
  • Graduate Research Assistant. Utah State University, Electrical and Computer Engineering Department. Logan, UT. Research performed with Professor Sanghamitra Roy and Professor Koushik Chakraborty. [BRIDGE LAB]. 2011-2013.

Academic Teaching Experience

  • Faculty, Brigham Young University–Idaho, 2021-Present.
  • Graduate Instructor, Purdue University, 2020.
  • Graduate Teaching Assistant, Utah State University, 2012-2013. Courses: ECE 5/6460 VLSI Design Automation and ECE 5/6470 VLSI Design.
  • Undergraduate Teaching Assistant. Brigham Young University–Idaho, 2010-2011. Courses: ECE 224 Intro to Digital Design, ECE 324 Computer Architecture, CS 345 Operating Systems, and ECE 440 Data Communications and Networking.
  • Undergraduate Lead Lab Assistant. Brigham Young University–Idaho, 2010-2011. Introductory circuit and digital logic labs.

Publications

  • Zhen Zhang, Sandip Mondal, Subhasish Mandal, Jason M. Allred, et. al, “Neuromorphic learning with Mott insulator NiO.” Proceedings of the National Academy of Sciences, Sep 2021 [link].
  • Jason Allred and Kaushik Roy. “L4-Norm Weight Adjustments for Converted Spiking Neural Networks.” arXiv preprint, 2021 (to appear).
  • Jason Allred and Kaushik Roy. “Controlled Forgetting: Targeted Stimulation and Dopaminergic Plasticity Modulation for Unsupervised Lifelong Learning in Spiking Neural Networks.” Frontiers in Neuroscience, 2020 [link].
    • Paper selected as one of the Neuromorphic Engineering Editors’ Pick 2021 [link].
    • Original arXiv preprint: “Stimulating STDP to Exploit Locality for Lifelong Learning without Catastrophic Forgetting,” 2019.
  • Jason Allred, Steven J. Spencer, Gopalakrishnan Srinivasan, and Kaushik Roy. “Explicitly Trained Spiking Sparsity in Spiking Neural Networks with Backpropagation.” arXiv preprint, 2020, updated 2021 (to appear).
  • Priyadarshini Panda, Jason Allred, Shriram Ramanathan, and Kaushik Roy. “ASP: Learning to Forget with Adaptive Synaptic Plasticity in Spiking Neural Networks.” IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2017. [link]
  • Jason Allred and Kaushik Roy. “Convolving over time via recurrent connections for sequential weight sharing in neural networks.” Proceedings of the 2017 International Joint Conference on Neural Networks (IJCNN), 2017. [link]
  • Jason Allred and Kaushik Roy. “Unsupervised Incremental STDP Learning Using Forced Firing of Dormant or Idle Neurons.” Proceedings of the 2016 International Joint Conference on Neural Networks (IJCNN), 2016. [link]
  • Jason Allred, Kaushik Chakraborty, and Sanghamitra Roy. “Sustainable Differentially Reliable Architecture for Dark Silicon.” US Patent 9,213,577, 2015. [link]
  • Dean Anjacas, Koushik Chakraborty, Sanghamitra Roy, and Jason Allred. “Tackling QoS-induced Aging in Exascale Systems through Agile Path Selection.” Proceedings of the 2014 International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS), 2014. [link]
  • Jason Allred. Master’s Thesis: “Designing, Optimizing, and Sustaining Heterogeneous Chip Multiprocessors to Systematically Exploit Dark Silicon.” Utah State University (USU), 2013. [link]
  • Jason Allred, Sanghamitra Roy, and Koushik Chakraborty. “Long Term Sustainability of Differentially Reliable Systems in the Dark Silicon Era.” Proceedings of the 2013 IEEE International Conference on Computer Design (ICCD), 2013. [link]
  • Jason Allred, Sanghamitra Roy, and Koushik Chakraborty. “Dark Silicon Aware Multicore Systems: Employing Design Automation with Architectural Insight.” IEEE Transactions on Very Large Scale Integration Systems (TVLSI), 2013. [link]
  • Jason Allred, Sanghamitra Roy, and Koushik Chakraborty. “Designing for Dark Silicon: A Methodological Perspective on Energy Efficient Systems.” Proceedings of the 2012 ACM International Symposium on Low Power Electronic Devices (ISLPED), 2012. [link]

Certifications

  • Teaching and Learning in Engineering Graduate Certificate. Purdue University. (2021). [link]
  • Franklin Covey Leadership Foundations. Franklin Covey. (2011). [link]
  • Certified LabVIEW Associate Developer. National Instruments. (2011-2013). [link]

Service / Volunteer Work

  • External Reviewer. Wiley/WIREs Data Mining and Knowledge Discovery 2020. ICCAD 2019, DAC 2015, TCAS 2013, ASQED 2013, ISQED 2012, ASQED 2012, and ICCD 2012.
  • IEEE Student Chapter Chairman. Brigham Young University–Idaho Chapter. 2010.
  • Religious Missionary. The Church of Jesus Christ of Latter-day Saints. Brazil São Paulo South Mission. 2007-2009. Fluent in Brazilian Portuguese.
  • Scoutmaster. Troop 365. Trapper Trails Council. 2014-2015.

Awards

ACADEMIC AWARDS
  • Ross Fellowship. School of Electrical and Computer Engineering. Purdue University. (2015)
  • Outstanding Graduate Teaching Assistant of the Year Award. Electrical and Computer Engineering Department. Utah State University. (2012-2013)
  • Summa Cum Laude. Brigham Young University-Idaho. (2011).
DECLINED PHD FELLOWSHIPS
  • ECE Wisconsin Distinguished Graduate Fellowship. University of Wisconsin-Madison. (2015).
  • Department of Electrical and Computer Engineering. University of Texas at Austin. (2015).
  • Royal E. Cabell Fellowship. Northwestern University. (2015).
  • Carnegie Institute of Technology Dean’s Fellowship. Carnegie Mellon University. (2013).
  • College of Technology and Innovation Dean’s Fellowship. Arizona State University. (2013).
  • Wayne Brown Graduate Fellowship. University of Utah. (2013).
  • Royal E. Cabell Fellowship. Northwestern University. (2013).
OTHER AWARDS
  • Patent: US 9213577 B2 – Sustainable differentially reliable architecture for dark silicon [link]