ABSYNTH - The Archetype-Based SYNTHesis Project

The goal of the ABSYNTH Project is to make it easier for domain experts to design and implement wireless sensor network applications. We are pursuing this goal through the use of language, compiler, and synthesis technologies. ABSYNTH is a collaborative project with personnel at Northwestern (EECS and CEE), the University of Michigan, and the University of California, Irvine.

The private ABSYNTH project discussion group is available here. The private email lists are separately available to project members.

People

  • Peter Dinda, PI at Northwestern University (Electrical Engineering and Computer Science)
  • Robert Dick, PI at the University of Michigan (Electrical Engineering and Computer Science)
  • Pai Chou, PI at the University of California, Irvine (Electrical and Computer Engineering)
  • Charles Dowding, co-PI at Northwestern University (Civil and Environmental Engineering)
  • Lawrence Henschen, co-PI at Northwestern University (Electrical Engineering and Computer Science)
  • Lan Bai, Ph.D. student at the University of Michigan (Electrical Engineering and Computer Science)
  • J. Scott Miller, Ph.D. student at Northwestern University (Electrical Engineering and Computer Science)
  • David Bild, Ph.D student at the University of Michigan (Electrical Engineering and Computer Science)
  • Tim Zwiebel, M.S. student at Northwestern University (Electrical Engineering and Computer Science)
  • Mat Kotowksy, Research Engineer, Northwestern University (Infrastructure Technology Institute)
  • Sasha Jevtic, M.S. student at Northwestern University (Electrical Engineering and Computer Science), graduated.

    • Talks

  • Wireless Sensor Networks to Monitor Crack Growth on Bridges, Mat Kotowsky, 2009 Conference on Developing a Research Agenda for Transportation Infrastructure Preseervation and Renewal, (pdf)
  • Evaluating a BASIC Approach to Sensor Network Node Programming, Scott Miller, SenSys 2009 (pdf)
  • Archetype-Based Design: Sensor Network Programming for Application Experts, Not Just Programming Experts, Lan Bai, IPSN 2009 (pdf)
  • Lucid Dreaming: Reliable Analog Event Detection for Energy-constrained Applications, Sasha Jevtic, IPSN/SPOTS 2007 (pdf)

    • Movies

  • Lucid Dreaming (also called "Shake 'n' Wake") Demo, (wmv)

    • Papers

  • M. P. Kotowsky, C. H. Dowding, J. K. Fuller, Wireless Sensor Networks to Monitor Crack Growth on Bridges, Proceedings of the 2009 Conference on Developing a Research Agenda for Transportation Infrastructure Preservation and Renewal, November, 2009. pdf

  • J. S. Miller, P. A. Dinda, R. P. Dick, Evaluating a BASIC Approach to Sensor Network Node Programming, Proceedings of 7th ACM Conference on Embedded Networked Sensor Systems (SenSys 2009), November, 2009. pdf (user study materials)

  • L. Bai, R. Dick, P. Dinda, Archetype-Based Design: Sensor Network Programming for Application Experts, Not Just Programming Experts, Proceedings of the International Conference on Information Processing in Sensor Networks (IPSN 2009), April, 2009. pdf (user study materials)

  • J. S. Miller, P. Dinda, and R. Dick, GOTO Considered Helpful: A BASIC Approach to Sensor Network Node Programming, Technical Report NWU-EECS-09-01, Department of Electrical Engineering and Computer Science, Northwestern University, January, 2009, pdf.

  • S. Jevtic, M. Kotowsky, R. Dick, P. Dinda, C. Dowding, Lucid Dreaming: Reliable Analog Event Detection for Energy-Constrained Applications, Proceedings of the International Conference on Information Processing in Sensor Networks (IPSN/SPOTS 2007), April, 2007. pdf

    • Related Projects

  • Autonomous Crack Monitoring Project, Northwestern University (Civil and Environmental Engineering, Infrastructure Technology Institute)
  • Eco Mote Project, University of California, Irvine (Electrical and Computer Engineering)

    • Acknowledgements

    This project is made possible by support from the National Science Foundation (NSF) via grant CNS-0721978, and by previous awards noted in the relevant past projects' sites.