Herbert Wertheim College of Engineering
Fang Lab
Led by Ruogu Fang · Electrical and Computer Engineering
What we study
The Fang Lab works on AI and neuroengineering. Its papers use machine learning and brain imaging to predict brain responses and tDCS stimulation outcomes, and recent student work models how removing faces from MRI scans changes predicted brain-stimulation currents.
What working here is like
- Computational
- No organisms (data only)
- Coding required
- Project
- 1
- Papers
- 5
Current projects
The Effects of MR Defacing Algorithms on TES Current Density
This project looks at how removing faces from MRI scans changes the math used to predict electric currents in brain stimulation. Students run computer models with defaced and non‑defaced scans to see if the results differ.
From the Spring 2025 UF Undergraduate Research Symposium · abstract book, p. 163
Summaries are written by AI in plain language from public symposium abstracts and may be imperfect.
Recent papers, explained
- Concept2Brain: an AI model for predicting neurophysiological responses to text and pictures
2026 · Nature Communications
Creates an AI model to guess brain responses to text and images.
- Neuroanatomical predictors of frontal tDCS current distribution in cognitively healthy older adults
2026 · NeuroImage
Finds brain traits that predict where brain current flows in older adults during tDCS.
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- Machine learning and individual variability in electrical field characteristics predict tDCS treatment response for anxiety in older adults in the ACT trial
2026 · Frontiers in Human Neuroscience
Uses AI to predict which older adults will feel better after tDCS for anxiety.
- Automated Prediction of Intraoperative Pneumocephalus During Deep Brain Stimulation Surgery
2026 · Parkinsonism & Related Disorders
- Differentiation of PD, MSA and PSP using clinical data from the prospective AIDP cohort
2026 · Clinical Parkinsonism & Related Disorders
Compares clinical signs of Parkinson's, PSP, and MSA using data from a study.
Plain-language summaries are AI-written and reviewed by us; check the paper for details.
How to reach out
Ruogu Fang hasn't set up this page yet. You can also look them up in the UF directory (search “Ruogu Fang”).