Victor Solomon

Georgia State University Ph.D. Candidate in Computer Science

Hi, I am Victor. I am a Ph.D. candidate in Computer Science at Georgia State University, advised by Dr. Jingyu Liu and affiliated with the Center for Translational Research in Neuroimaging and Data Science.

My research focuses on multimodal learning, representation learning, machine learning, scientific AI, and biomedical imaging, with applications to neurodegenerative diseases and complex brain disorders. I build learning systems that integrate heterogeneous data sources, learn robust and interpretable representations, and support scientific discovery in high dimensional biomedical and scientific data.

Feel free to reach me at:vsolomon3@student.gsu.edu

publicationsCV

news

MSR-IVA was accepted to the IEEE International Workshop on Machine Learning for Signal Processing.

Published work on wavelet and Fourier transforms for enhanced solar flare forecasting in the FLAIRS Conference Proceedings.

Received the Martin D. Fraser Graduate Student Conference Travel Award at Georgia State University.

Continued research on multimodal fusion, representation learning, and neuroimaging at the TReNDS Center.

selected publications

MSR-IVA: Masked Structural Residual Multimodal Representation Learning for State-Aware Fusion of Structural MRI and Dynamic Functional Network Connectivity thumbnail

MSR-IVA: Masked Structural Residual Multimodal Representation Learning for State-Aware Fusion of Structural MRI and Dynamic Functional Network Connectivity

Victor Solomon, Zening Fu, Rafal Angryk, Vince D. Calhoun, and Jingyu Liu

IEEE International Workshop on Machine Learning for Signal Processing, Atlanta, GA, 2026

PaperCode
EdgeAttNet: Towards Barb-Aware Filament Segmentation thumbnail

EdgeAttNet: Towards Barb-Aware Filament Segmentation

Victor Solomon, P. Martens, Jingyu Liu, and Rafal Angryk

2025 IEEE International Conference on Data Mining Workshops, 1913-1922, 2025

PaperCode
Time Series Decomposition Using Wavelet and Fourier Transforms for Enhanced Solar Flare Forecasting thumbnail

Time Series Decomposition Using Wavelet and Fourier Transforms for Enhanced Solar Flare Forecasting

Victor Solomon, Junzhi Wen, Rafal Angryk, Manya Rampuria, Omkar Rayala, and Abdul Afrid

The International FLAIRS Conference Proceedings, Vol. 38, 2025

PaperCode

Email is the most reliable way to reach me.