Subject: | NanoNews: ME Ph.D. Seminar - Fri 12-06 Noon / Kamyar Behrouzi |
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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 |
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.ThanksBest RegardsKamyar
---------- 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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