Kannan Krishnaswami

Program Manager - Science and Technology Investments at Pacific Northwest National Laboratory

Location
Richland/Kennewick/Pasco, Washington Area
Industry
Research
Current
  1. Pacific Northwest National Laboratory
Previous
  1. Pacific Northwest National Laboratory,
  2. University of Massachusetts,
  3. Tellabs
Education
  1. University of Washington
388connections

Join LinkedIn and access Kannan's full profile. It's free!

As a LinkedIn member, you'll join 300 million other professionals who are sharing connections, ideas, and opportunities.

  • See who you know in common
  • Get introduced
  • Contact Kannan directly

Background

Experience

Program Manager- Science and Technology Investments &Strategy

Pacific Northwest National Laboratory
– Present (6 years 6 months)

Senior Scientist

Pacific Northwest National Laboratory
(3 years 8 months)

Research Fellow

University of Massachusetts
(2 years 3 months)

Lead Engineer

Tellabs
(2 years 7 months)

Project Manager

Aspen Systems, Inc.
(5 years 1 month)

Languages

  1. English

  2. Hindi

  3. Gujarati

  4. French

Publications

Research towards a systematic signature discovery process(Link)

IEEE Intelligence and Security Informatics Signature Discovery Workshop
2013

Baker NA, Barr JL, Bonheyo GT, Joslyn CA, Krishnaswami K, Oxley ME, Quadrel R, Sego LH, Tardiff MF, Wynne AS. Research towards a systematic signature discovery process. IEEE Intelligence and Security Informatics Signature Discovery Workshop, 2013. DOI:10.1109/ISI.2013.6578848

In its most general form, a signature is a unique or distinguishing measurement, pattern, or collection of data that identifies a phenomenon (object, action, or behavior) of interest. The discovery of signatures is an important aspect of a wide range of disciplines from basic science to national security for the rapid and efficient detection and/or prediction of phenomena. Current practice in signature discovery is typically accomplished by asking domain experts to characterize and/or model individual phenomena to identify what might compose a useful signature. What is lacking is an approach that can be applied across a broad spectrum of domains and information sources to efficiently and robustly construct candidate signatures, validate their reliability, measure their quality, and overcome the challenge of detection — all in the face of dynamic conditions, measurement obfuscation, and noisy data environments. Our research has focused on the identification of common elements of signature discovery across application domains and the synthesis of those elements into a systematic process for more robust and efficient signature development. In this way, a systematic signature discovery process lays the groundwork for leveraging knowledge obtained from signatures to a particular domain or problem area, and, more generally, to problems outside that domain. This paper presents the initial results of this research by discussing a mathematical framework for representing signatures and placing that framework in the context of a systematic signature discovery process. Additionally, the basic steps of this process are described with details about the methods available to support the different stages...

Authors:

Projects

Signature Discovery Initiative(Link)

– Present

The Signature Discovery Initiative is a 6-year internal investment by Pacific Northwest National Laboratory to transform the process by which signatures are discovered and used. In its most general form, a signature is a unique or distinguishing measurement, pattern, or collection of data that identifies a phenomenon (object, action, or behavior) of interest. The discovery of signatures is an important aspect of a wide range of disciplines from basic science to national security for the rapid and efficient detection and/or prediction of phenomena. Current practice in signature discovery is typically accomplished by asking domain experts to characterize and/or model individual phenomena to identify what might compose a useful signature. What is lacking is an approach that can be applied across a broad spectrum of domains and information sources to efficiently and robustly construct candidate signatures, validate their reliability, measure their quality, and overcome the challenge of detection — all in the face of dynamic conditions, measurement obfuscation, and noisy data environments. Our research has focused on the identification of common elements of signature discovery across application domains and the synthesis of those elements into a systematic process for more robust and efficient signature development. In this way, a systematic signature discovery process lays the groundwork for leveraging knowledge obtained from signatures to a particular domain or problem area, and, more generally, to problems outside that domain.

Team members:

Skills

  • Program Management
  • Strategic Planning
  • Business Strategy
  • Project Management
  • Applied Physics
  • Physics
  • Systems Engineering
  • Optics
  • R&D
  • Statistics
  • Strategic Communications
  • Business Analysis
  • Engineering
  • Engineering Management
  • Material...
  • Fiber Optics
  • Sensors
  • Research
  • Characterization
  • Spectroscopy
  • Science
  • Materials Science
  • Cross-functional Team...
  • Thin Films
  • Mathematical Modeling
  • Design of Experiments
  • Simulations
  • See 12+  See less

Education

St. Xavier's College

Bachelor of Science (B.Sc.), Physics

View Kannan's full profile to...

  • See who you know in common
  • Get introduced
  • Contact Kannan directly

Not the Kannan Krishnaswami you're looking for? View more

Insights


People Also Viewed

LinkedIn member directory - Browse members by country

  1. a
  2. b
  3. c
  4. d
  5. e
  6. f
  7. g
  8. h
  9. i
  10. j
  11. k
  12. l
  13. m
  14. n
  15. o
  16. p
  17. q
  18. r
  19. s
  20. t
  21. u
  22. v
  23. w
  24. x
  25. y
  26. z
  27. more