From label-free single molecule detection to biological neural network transfer learning

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Séminaire

 

From label-free single molecule detection to biological neural network transfer learning

 

Par le Dr. Tao Lu, associate professor with the Department of ECE, University of Victoria.

 

Local PLT-1120 au Pavillon Pouliot de l’Université Laval le 20 septembre à 15 h 30.

 


  Date and Time

  Location

  Hosts

  Registration


  • Date: 20 Sep 2024
  • Time: 03:30 PM to 04:30 PM
  • All times are (UTC-04:00) Eastern Time (US & Canada)
  • Add_To_Calendar_icon Add Event to Calendar
  • 1065 avenue de la Médecine
  • Québec, Quebec
  • Canada G1V 0A6
  • Building: Adrien-Pouliot
  • Room Number: PLT-1120
  • Contact Event Host
  • Co-sponsored by CERVO

  Speakers

Tao Lu of Department of ECE, University of Victoria

Topic:

From label-free single molecule detection to biological neural network transfer learning

Séminaire

 

From label-free single molecule detection to biological neural network transfer learning

 

Par le Dr. Tao Lu, associate professor with the Department of ECE, University of Victoria.

 

Local PLT-1120 au Pavillon Pouliot de l’Université Laval le 20 septembre à 15 h 30.

 

Abstract: Ultra-high quality factor (Q) whispering-gallery-microcavities (WGMs) are exceptionally sensitive detectors of nano-scale particles. The first part of the talk will cover label-free single molecule sensing using an opto-mechanical oscillating microcavity. In the second part, a novel three-dimensional transfer learning model (3D-RayBNN) will be introduced. This model simulates a three-dimensional biological neural network composed of randomly positioned neurons and glial cells. The model begins with a smaller network and expands as it trains, transferring the knowledge to the larger network. This growth process, which mirrors the development of the human brain, is highly efficient for transfer learning. The final part of the talk will discuss the implementation of this model with ontogenetically transfected neurons and the use of WGMs for sensitive detections.

 

Biography:

 

Dr. Tao Lu received the PhD degree from the Department of Applied Physics, University of Waterloo, in 2005, and has worked in industry with various companies including Nortel Networks, Kymata Canada, Peleton, etc., on optical communications. He is an associate professor with the Department oECE, University of Victoria. Before joining the University of Victoria, he was a post-doctoral fellow with the Department of Applied Physics, California Institute of Technology, from 2006 to 2008. His research interests include optical microcavities and their applications to ultra-narrow linewidth laser sources, and bio-nano-photonics. He is currently extending his research on novel machine learning algorithms with applications to spectroscopic analysis, the Internet of Things, and indoor localization.

Address:Department of ECE, University of Victoria, , Victoria, Canada