All posts by Christof Teuscher

Workshop on Logic Synthesis and Emerging Technologies

Christof Teuscher gave an invited presentation at the Workshop on Logic Synthesis and Emerging Technologies, which was held at the Swiss Federal Institute of Technology (EPFL) in Lausanne, Switzerland, Sep 28-29, 2017.

Immediate Openings: Three Paid Undergraduate Research Positions

The research group of Dr. Christof Teuscher has immediate openings for three paid undergraduate research positions in biomolecular and neuromorphic computation.

POSITION 1: NEUROMORPHIC COMPUTATION

The goal of the project is to propose energy-efficient neuromorphic algorithms, architectures, and hardware capable of analyzing data generated by spectroscopic sensors with minimal power consumption. We will develop a new application-specific neuromorphic algorithm inspired by a locally competitive spiking sparse approximation, build small-scale functional prototypes incorporating filamentary resistive random-access memory (ReRAM) arrays as a proof-of-concept, and test them in a real-world setup. We will develop, build, and test more advanced devices and algorithms that directly harness the device properties, such as reservoir computing, as well as improve and optimize the prototypes. Demonstration hardware will incorporate nonfilamentary ReRAM arrays.

The undergraduate research position is funded by the Defense Threat Reduction Agency (DTRA). The project is a collaboration with the University of New Mexico.

Desired Qualifications:
  • Undergraduate student in CS, ECE, physics, or related disciplines.
  • Highly motivated, responsible, independent, with outstanding work ethics.
  • Outstanding academic records.
  • Excellent programming skills.
  • Ability to work at least 1 day (~8h) per week on the project. More is better.
  • An interest in neuromorphic computation.
  • Any knowledge about neural networks would be most useful.
  • Ability and willingness to learn new things.
What will you do:
  • Write software for neuromorphoc computing systems that learn and adapt.
  • Develop new models.
  • Run simulations.
  • Analyze data.
  • Create plots and visualizations.
  • Write and compile reports.
  • Participate in regular project meetings.

POSITION 2 and 3: BIOMOLECULAR COMPUTATION

Molecular computing is a promising computational paradigm, in which computational functions are evaluated at the nanoscale, with potential applications in smart molecular diagnostics
and therapeutics. However, despite recent advances in the field, prospects for direct application of these techniques to solve real-world problems are limited by the lack of robust interfaces between molecular computers and biological and chemical systems. This project will address these limitations by targeting two application domains, wide-spectrum chemical sensing and
cell surface analysis using molecular logic cascades. Drawing on a combination of experimental, theoretical, and computational tools, molecular computing systems will be developed for use in these application domains. Molecular circuit architectures that process sensor inputs from chemical sensors and cell-surface analysis reactions will be designed, modeled, and implemented in the laboratory, and computational modeling will be used to predict and optimize interactions between DNA circuit components and their binding targets. Furthermore, advanced molecular circuit architectures capable of adaptive, bio-inspired behavior, such as dynamic learning and adaptation, will be designed, with a view to future experimental implementations of these features.

The undergraduate research positions are funded by the National Science Foundation (NSF). The project is a collaboration with the University of New Mexico and Columbia University.

Desired Qualifications:
  • Undergraduate student in CS, ECE, biology, physics, or related disciplines.
  • Highly motivated, responsible, independent, with outstanding work ethics.
  • Outstanding academic records.
  • Excellent programming skills.
  • Ability to work at least 1 day (~8h) per week on the project. More is better.
  • An interest in biomolecular computation.
  • Any “bio” background would be most useful.
  • Ability and willingness to learn new things.
What will you do:
  • Write software for biomolecular computing systems that learn and adapt.
  • Develop new models.
  • Run simulations.
  • Analyze data.
  • Create plots and visualizations.
  • Write and compile reports.
  • Participate in regular project meetings.

WHAT YOU GET:

  • An hourly wage. 
  • An opportunity to work on a cool project.
  • An opportunity to work on a larger team.
  • An opportunity to make an impact.
  • An opportunity to gain experience.
  • An opportunity to travel to project meetings and/or conferences.

WHAT teuscher.:Lab DOES:

Our goal is to develop disruptive new computing paradigms and machines that will allow for lasting breakthroughs and open new application domains in the next 5-20 years. For more information, see the research and mission pages.

APPLICATION:

E-mail the following documents to  to teuscher@pdx.edu:

  1. Your resume
  2. A letter of motivation that describes
    • why you want to get involved in undergrad research,
    • how this fits into your longer-term career plans,
    • and why you think you are an outstanding candidate for this project.
  3. Two references that I can contact.

The positions remain open until filled.

QUESTIONS:

Please do not hesitate to contact me in case of questions.

Nanoarch 2017 Best Paper Award

Our paper on “Approximate Vector Matrix Multiplication Implementations for Neuromorphic Applications using Memristive Crossbars” was presented with the best paper award at the 2017 IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH ’17)

W. Woods and C. Teuscher. Approximate Vector Matrix Multiplication Implementations for Neuromorphic Applications using Memristive Crossbars. Proceedings of the 2017 IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH ’17), 2017.

 

Girls Inc. Eureka!

Dr. Teuscher taught a 3-day Girls Inc. Eureka! cohort. Activities included Scratch, slime mold, cellular automata, and squishy circuits.

Eureka! is a five year Girls Inc. program that brings 8th – 12th grade girls, including many who will be first generation college applicants, onto local college and university campuses for an intensive STEM summer program.”

Jeff gets STARNet intership

tlab and former MCECS Undergraduate Research and Mentoring Program (URMP) student Jeff Udall was offered a highly competitive STARNet internship. He was also invited to present his work at the TECHCON 2017 conference in Austin, TX. STARnet is a collaborative network of stellar research centers finding paths around the fundamental physical limits threatening the long-term growth of the microelectronics industry.

New paper: Shift-Symmetric Configurations in 2D CA: Irreversibility, Insolvability, and Enumeration

New paper: “Shift-Symmetric Configurations in Two-Dimensional Cellular Automata: Irreversibility, Insolvability, and Enumeration,” https://arxiv.org/abs/1703.09030

 

2017 Graduate Research and Mentoring Program

Applications for the 2017 Graduate Research and Mentoring Program (GRMP) are now open. For more info, see Graduate Research and Mentoring Program  (GRMP).

Application deadline: Apr 23, 2017

Eligibility: The program is open to PSU graduate students in ECE, CS, Physics, and Systems Science. Students must have completed at least one term at PSU. Students interested in the summer research internship should take the ECE 508 Scholarship Bootcamp (CRN: 65521) in the Spring term.

Applicationhttp://bit.ly/GRMPApplication

Students present work at TECHCON 2016

tlab students Jack Cannon, Matt Fleetwood, and Jeff Udall were invited to present their work the annual Semiconductor Research Corporation (SRC) TECHCON conference, which was held in Austin, TX, Sep 11-13, 2016. Jeff Udall had the special honor to present a talk.

tc16_1 tc16_2 tc16_3 tc16_4 tc16_5

Photos by Matt Fleetwood.