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'''Latest Preprints'''
 
'''Latest Preprints'''
  
* D. Chen, A. G. Strang, A. W. Eckford, and P. J. Thomas, "Explicitly solvable continuous-time inference for partially observed Markov processes," accepted for publication in ''IEEE Transactions on Signal Processing''.<br /> {{Open|https://arxiv.org/abs/2301.00843|arXiv|*}} {{Closed|https://ieeexplore.ieee.org/document/10007059|IEEEXplore early access}}
 
 
* H. Elayan, A. W. Eckford, and R. S. Adve, "Selectivity of protein interactions stimulated by terahertz signals," accepted for publication in ''IEEE Transactions on Nanobioscience''.<br /> {{Open|https://arxiv.org/abs/2207.01572|arXiv|*}} {{Closed|https://ieeexplore.ieee.org/document/9819908|IEEEXplore early access}}
 
* H. Elayan, A. W. Eckford, and R. S. Adve, "Selectivity of protein interactions stimulated by terahertz signals," accepted for publication in ''IEEE Transactions on Nanobioscience''.<br /> {{Open|https://arxiv.org/abs/2207.01572|arXiv|*}} {{Closed|https://ieeexplore.ieee.org/document/9819908|IEEEXplore early access}}
  
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'''Latest Published Papers'''
 
'''Latest Published Papers'''
  
 +
* D. Chen, A. G. Strang, A. W. Eckford, and P. J. Thomas, "Explicitly solvable continuous-time inference for partially observed Markov processes," ''IEEE Transactions on Signal Processing,'' vol. 70, pp. 6232-6242, 2022.<br /> {{Open|https://arxiv.org/abs/2301.00843|arXiv|*}} {{Closed|https://ieeexplore.ieee.org/document/10007059|IEEEXplore}}
 
* A. S. Moffett, G. Cui, P. J. Thomas, W. D. Hunt, N. A. McCarty, R. S. Westafer, and A. W. Eckford, "Permissive and nonpermissive channel closings in CFTR revealed by a factor graph inference algorithm," ''Biophysical Reports'', vol. 2, no. 4, 100083, Dec. 2022.<br />{{Open|https://www.sciencedirect.com/science/article/pii/S2667074722000404|ScienceDirect open access}}
 
* A. S. Moffett, G. Cui, P. J. Thomas, W. D. Hunt, N. A. McCarty, R. S. Westafer, and A. W. Eckford, "Permissive and nonpermissive channel closings in CFTR revealed by a factor graph inference algorithm," ''Biophysical Reports'', vol. 2, no. 4, 100083, Dec. 2022.<br />{{Open|https://www.sciencedirect.com/science/article/pii/S2667074722000404|ScienceDirect open access}}
* X. Chen, M. Wen, F. Ji, Y. Huang, Y. Tang, and A. W. Eckford, “Detection interval of aerosol propagation from the perspective of molecular communication: How long is enough?” ''IEEE Journal on Selected Areas in Communications,'' vol. 40, no. 22, pp. 3255-3270, Nov. 2022.<br /> {{Open|https://arxiv.org/abs/2204.08636|arXiv|*}} {{Closed|https://ieeexplore.ieee.org/document/9913432|IEEEXplore}}
 
  
  

Revision as of 08:44, 20 January 2023

EckfordLab
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Molecular Communication and Information Theory Laboratory




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EckfordLab, the Molecular Communication and Information Theory Laboratory under the supervision of Professor Andrew Eckford, is located in the Lassonde School of Engineering at York University, Toronto, Canada. The lab is concerned with problems involving molecular communication, computational biology, and information theory.


Principal Investigator | Members | Publications | Available Positions | News and Events | EckfordLab in the Media | Contact Info




Latest Preprints

  • H. Elayan, A. W. Eckford, and R. S. Adve, "Selectivity of protein interactions stimulated by terahertz signals," accepted for publication in IEEE Transactions on Nanobioscience.
    arXiv* IEEEXplore early access


Latest Published Papers

  • D. Chen, A. G. Strang, A. W. Eckford, and P. J. Thomas, "Explicitly solvable continuous-time inference for partially observed Markov processes," IEEE Transactions on Signal Processing, vol. 70, pp. 6232-6242, 2022.
    arXiv* IEEEXplore
  • A. S. Moffett, G. Cui, P. J. Thomas, W. D. Hunt, N. A. McCarty, R. S. Westafer, and A. W. Eckford, "Permissive and nonpermissive channel closings in CFTR revealed by a factor graph inference algorithm," Biophysical Reports, vol. 2, no. 4, 100083, Dec. 2022.
    ScienceDirect open access


Full List of Publications ...




Lab News


More News ...




EckfordLab is affiliated with the Centre for Innovation in Computing @ Lassonde.