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Mission Statement

Emerging Computing Models and Technologies

The mission of teuscher.:Lab is to study, rethink, model, and design the implementation of computations in silicon and non-silicon systems. An understanding of the phenomena provides a basis for better, smarter, and more robust computing paradigms, architectures, devices, algorithms, languages, and systems for applications such as embedded systems and biomolecular engineering. We are interested in bold, visionary, and transformational solutions to complex and critical problems needed for the medium- and long-term sustainability of the technological future of all computing disciplines.

The research is needs-, problem-, and phenomena-driven, with the goal to open new application domains. We use a radical interdisciplinary approach and apply tools from computer science, computer engineering, engineering, physics, biology, complex systems science, and cognitive science to the study and the design of new computing paradigms and machines.

teuscher.:Lab is committed to serve the students and the faculty of PSU, the local community, the industry, and the scientific community worldwide. We strive to discover, disseminate, and educate to make a difference for today's and tomorrow's society that depends on increasingly pervasive and complex computers.

Mission, vision, and values of the Department of Electrical and Computer Engineering.




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Sponsored Research Projects

  • DARPA, Sparse Adaptive Local Learning for Sensing and Analytics (SALLSA). May 3, 2013 - Aug 2, 2017. The project is in collaboration with the University of Michigan and Los Alamos National Laboratory. The total award sum is $5.69 million.
  • SRC Cross-Disciplinary Semiconductor Research (CSR) Program, 3D FPGA Cell Matrix by Self-assembly. Jan 1, 2013 - Dec 31, 2013.
  • DARPA Systems of Neuromorphic Adaptive Plastic Scalable Electronics (SyNAPSE), Development of the Digital Fabric Inter-APP Communication System for the SyNAPSE program, HRL/DARPA contract # HRL0011-09-C-001.
  • Computing with Biomolecules: From Network Motifs to Complex and Adaptive Systems, National Science Foundation (NSF), Cyber-enabled Discovery and Innovation (CDI), Type II award, NSF grant no: 1028120, Oct 1, 2010 - Sep 30, 2014. Official project website.
  • Inference at the Nanoscale, National Science Foundation (NSF), Cyber-enabled Discovery and Innovation (CDI), Type II award, NSF grant no: 1028378, Sep 15, 2010 - Aug 31, 2014
  • See project page for more details.



16.04.2014 - 18.04.2014
Walt & CT at UMICH


Self-eval, SVN, and wiki update due


21.04.2014 11:00 - 12:00
SRC bi-weekly


22.04.2014 08:00 - 09:00
Office hour


22.04.2014 09:00 - 10:00
Lab hour