Events

Position : Home > Events > Content

Molecular communication: From theory to practice

Time: May 6, 2019

时间 地点
人物

http://meeting.ynyjxx.cn/uploads/images/201904/1556269627.jpg

Title:

Molecular   communication: From theory to practice

Lecturer:

Prof.   Andrew Eckford

Time:

2019-04-29 10:30:00

Venue:

609 meeting room in the New Technology   Building of North Campus

Lecturer    Profile

Andrew Eckford is an Associate Professor in the   Department of Electrical Engineering and Computer Science at York University,   Toronto, Canada. He received the B.Eng. degree from the Royal Military   College of Canada in 1996, and the M.A.Sc. and Ph.D. degrees from the   University of Toronto in 1999 and 2004, respectively,   all in Electrical Engineering. Andrew held postdoctoral fellowships at the   University of Notre Dame and the University Of Toronto, prior to taking up a   faculty position at York in 2006. He has held courtesy appointments at the   University of Toronto and Case Western Reserve University; in 2018, he was   named a Senior Fellow of Massey College, Toronto. Andrew’s research interests include the application of information   theory to nonconventional channels and systems, especially the use of   molecular and biological means to communicate. Andrew's research has been   covered in media including The Economist, The Wall Street Journal, and IEEE   Spectrum. His research received the 2015 IET Communications Innovation Award,   and was a finalist for the 2014 Bell Labs Prize. Andrew is also a co-author   of the textbook Molecular Communication, published by Cambridge University   Press.

Lecture    Abstract

How   can we communicate using molecules? This question may unlock new applications   in nanorobotics and medicine, but has only recently attracted attention from   communication and information theorists. The answer to the question is   surprisingly difficult: not only is the medium unfamiliar to communication   engineers, but the mathematical details of the communication environment are   complicated. In this talk, we present three examples to illustrate the   current state of the field: for nanonetworking applications, we present the   additive inverse Gaussian channel model; for biological applications, we   discuss the information-theoretic capacity of intercellular signal   transduction; and for experimental applications, we present a low-cost,   easy-to-use platform to evaluate macroscale molecular communication.

 

【Close】