Jim Solomon

Hello! I am currently a PhD Student at UCLA researching artificial intelligence in the Visual Machines Group and the Savjani Lab. I am jointly advised by Professor Achuta Kadambi and Professor Ricky Savjani. I am also a UC Leads Scholar.

Before joining the Visual Machines Group, I completed my BS in Electrical and Computer Engineering at UCLA. From 2021 - 2023, I did photonics research at the Mesoscopic Optics and Quantum Electronics Lab.

VisionOnc: a dynamic data visualiser for oncology
Chulmin Bang, Matthew Ru, Erika Jank, Changsuk Oh, Miriam Lane, Eulanca Y Liu, Jim Solomon, Anusha Kalbasi, Vishruth K Reddy, Vinith B Raj, Kyung Sung, Ricky R Savjani
Lancet Digital Health

WorldBench: Disambiguating Physics for Diagnostic Evaluation of World Models
Rishi Upadhyay, Howard Zhang, Jim Solomon, Ayush Agrawal, Pranay Boreddy, Shruti Satya Narayana, Yunhao Ba, Alex Wong, Celso M de Melo, Achuta Kadambi
In Submission, 2026

2-Factor Retrieval for Improved Human-AI Decision Making in Radiology
Jim Solomon, Laleh Jalilian, Alexander Vilesov, Meryl Mathew, Tristan Grogan, Arash Bedayat, Achuta Kadambi
In Submission, 2024

AtOMICS: A neural network-based Automated Optomechanical Intelligent Coupling System for testing and characterization of silicon photonics chiplets
Jaime Flor Flores, Jim Solomon, Connor Nasseraddin Talha Yerebakan, Andrey B. Matsko, Chee Wei Wong
Machine Learning Science and Technology, 2024

Intracavity Power Compensation of an 8.2 µg/Hz1/2 VRW Chip-Scale Optomechanical Accelerometer
Alexis Samoylov, Talha Yerebakan, Jaime Gonzalo Flor Flores, Jim Solomon, Connor Nasseraddin, Andrey Matsko, and Chee Wei Wong
Laser Science. Optica Publishing Group, 2023

Sub-Hertz Reciprocal Frequency Readout for Chip-Scale Optomechanical Inertial Navigation
Connor Nasseraddin, Jaime Gonzalo Flor Flores, Talha Yerebakan, Jim Solomon, Andrey Matsko and Chee Wei Wong
2023 Conference on Lasers and Electro-Optics (CLEO), 2023