Difference: KVP23 (1 vs. 7)

Revision 7
09 Apr 2015 - rff22
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META TOPICPARENT name="ControlPeople"

Kris Parag

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Background

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Kris is currently a Research Associate working on event triggered sampling theory. He studied Aerospace Engineering at the University of Sheffield (MEng, 2006-2010) before pursuing a PhD at Trinity College, University of Cambridge (2010-2013/4) as a Gates Scholar. His PhD research focussed on 1) understanding the noise performance limits of fundamental molecular estimation and control problems and 2) characterising the main noise sources in early invertebrate vision through optimal filtering. His current work looks at analysing adaptive sampling schemes for stochastic processes under energy and coding constraints.
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As a Research Associate Kris worked on event triggered sampling theory. He studied Aerospace Engineering at the University of Sheffield (MEng, 2006-2010) before pursuing a PhD at Trinity College, University of Cambridge (2010-2013/4) as a Gates Scholar. His PhD research focussed on 1) understanding the noise performance limits of fundamental molecular estimation and control problems and 2) characterising the main noise sources in early invertebrate vision through optimal filtering. His current work looks at analysing adaptive sampling schemes for stochastic processes under energy and coding constraints.
 

Revision 6
31 Oct 2014 - kvp23
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META TOPICPARENT name="ControlPeople"

Kris Parag

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  • Parag, K. and Vinnicombe, G. “Single Event Molecular Signalling for Estimation and Control.” European Control Conference, pp: 4166-71, 2013.

• Parag, K. and Vinnicombe, G. “Event Triggered Signalling Codecs for Molecular Estimation” 52nd Conference on Decision and Control, pp: 256-61, 2013.

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Revision 5
29 Oct 2014 - kvp23
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META TOPICPARENT name="ControlPeople"
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Kris Parag

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Kris Parag

 

Background - Research - Publications

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Supervisor: Dr Glenn Vinnicombe

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Background

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Kris is currently a Research Associate working on event triggered sampling theory. He studied Aerospace Engineering at the University of Sheffield (MEng, 2006-2010) before pursuing a PhD at Trinity College, University of Cambridge (2010-2013/4) as a Gates Scholar. His PhD research focussed on 1) understanding the noise performance limits of fundamental molecular estimation and control problems and 2) characterising the main noise sources in early invertebrate vision through optimal filtering. His current work looks at analysing adaptive sampling schemes for stochastic processes under energy and coding constraints.
 
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Research Interests

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Kris' research lies at the intersection of control theory, stochastic systems and biological modelling. Particular areas of interest are: point processes, queueing theory, information theory, non-linear filtering, stimulus reconstruction, noise processes, visual neuroscience, stochastic chemistry, control theory, systems biology, stochastic modelling, machine learning
 

Publications

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• Parag, K. and Vinnicombe, G. “Single Event Molecular Signalling for Estimation and Control.” European Control Conference, pp: 4166-71, 2013.

• Parag, K. and Vinnicombe, G. “Event Triggered Signalling Codecs for Molecular Estimation” 52nd Conference on Decision and Control, pp: 256-61, 2013.

 
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Revision 4
31 Mar 2014 - rff22
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META TOPICPARENT name="ControlPeople"

Kris Parag

Background - Research - Publications

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Position: PhD student
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Position: Research Associate
 

Office Location: BN4-85

Revision 3
18 Oct 2013 - rff22
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META TOPICPARENT name="ControlPeople"
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Kris Parag

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Kris Parag

 

Background - Research - Publications

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Position: PhD student
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Position: PhD student
 
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Office Location: BN4-85
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Office Location: BN4-85
 
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E-mail: kvp23 [at] cam [dot] ac [dot] uk
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E-mail: kvp23 [at] cam.ac.uk
 

Thesis Title:

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Publications

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META FILEATTACHMENT attachment="kvp23.jpg" attr="" comment="" date="1382083461" name="kvp23.jpg" path="kvp23.jpg" size="258657" stream="IO::File=GLOB(0x8cdaa54)" tmpFilename="/usr/tmp/CGItemp30848" user="rff22" version="1"
Revision 2
03 Oct 2013 - rff22
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META TOPICPARENT name="ControlPeople"

Kris Parag

Background - Research - Publications

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Position:
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Position: PhD student
 
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Office Location:
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Office Location: BN4-85
 
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E-mail:
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E-mail: kvp23 [at] cam [dot] ac [dot] uk
 

Thesis Title:

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Supervisor:
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Supervisor: Dr Glenn Vinnicombe
 




 
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