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(a)eecs.berkeley.edu>
To: nano-news(a)lists.berkeley.edu, de-nse-students(a)lists.berkeley.edu,
msegrads06(a)lists.berkeley.edu, physics-nanosubset(a)lists.berkeley.edu,
colloquia(a)physics.berkeley.edu
CC: nseggfaculty(a)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(a)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 ---------
ME Ph.D. Seminar 🎓🎓🎓
*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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/Copyrights © |Fall 2024| |Mechanical Engineering| All rights reserved./
*******
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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