Both Sudoroom and CCC members might be interested in this UC Berkeley PhD thesis talk Friday at Noon: attend via Zoom or in person at 306 Soda Hall. -Peter


-------- Forwarded Message --------
Subject: NanoNews: ME Ph.D. Seminar - Fri 12-06 Noon / Kamyar Behrouzi
Date: Wed, 4 Dec 2024 11:20:03 -0800
From: Avi Rosenzweig <victorr@eecs.berkeley.edu>
To: nano-news@lists.berkeley.edu, de-nse-students@lists.berkeley.edu, msegrads06@lists.berkeley.edu, physics-nanosubset@lists.berkeley.edu, colloquia@physics.berkeley.edu
CC: nseggfaculty@lists.berkeley.edu


Hi Folks,

Kamyar is giving his PhD seminar this Friday, yay!
306 Soda Hall 12pm
See details below and send your morale support his way :-)

Avi

Begin forwarded message:

From: Kamyar Behrouzi <kbehrouzi@berkeley.edu>

Hope you are doing well, I’m giving my PhD seminar this Friday from noon-1pm in Soda 306 room. The advertisement is attached, it’s my pleasure to have you in my talk. Please share the details with Nano community if it’s possible.
Thanks 
Best Regards 
Kamyar 

---------- Forwarded message ---------

Ph.D. Seminar

Kamyar Behrouzi
(Ph.D. Candidate)
AI-Assisted Plasmonic Biosensing
Friday, December 06, 2024
Noon - 1:00 PM
306 Soda Hall
Zoom Link: 
https://berkeley.zoom.us/j/94546676505?pwd=Kp9lB0rIS17EVaFPxA75YLul9DQFSd.1

Abstract:

Join my PhD seminar to explore how advanced biosensing technologies are paving the way for personalized healthcare. Despite remarkable breakthroughs in artificial intelligence, such as AlphaFold, the Nobel Prize-winning protein structure predictor, medical diagnostics lag behind due to limited access to high-quality data. Current tools primarily measure basic vital signs, overlooking the wealth of biochemical information essential for precise health monitoring. My research addresses this gap by developing simple, affordable, and highly sensitive optical biosensors. Highlights include a colorimetric approach for at-home protein detection, enhanced by the coffee-ring effect and deep learning, as well as ultra-sensitive nucleic acid and protein detection using plasmonic nanoparticles arranged at exceptional points. These innovations are further refined through AI-assisted phase sensing and integration with photonic circuits for compact, scalable designs. This work bridges the divide between advanced sensing technologies and practical medical applications, offering new possibilities for accessible, individualized diagnostics.

Committee Co-Chair:  Prof. Liwei Lin (ME)
Committee Co-Chair:  Prof. Boubacar Kante (EECS)
Additional Member:  Prof. Dorian Liepmann (ME/BIOENG)

Academic Senate Representative: Prof. Ming-Chiang Wu (EECS)
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*******
Avi Rosenzweig
Physical Sciences Division
College of Letters & Science Dean’s Office
101 Durant Hall MC 2920

UC Berkeley Nanosciences & Nanoengineering Institute
548 Sutardja Dai Hall MC 1726
voice 510.643.6681  message 612.888.7938

I cannot praise a fugitive and cloistered virtue, unexercised and unbreathed,
that never sallies out and sees her adversary.
-----John Milton 

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