Mohamed A M Elansary, PhD
Target: Post Doctoral Research Associate — Bioengineering (Multimodal Neuroimaging · Large-Scale Deep Learning) · UT Arlington
Sourced insights
- Role thesis — multimodal neuroimaging + large-scale deep learning: Analyze imaging data; develop methods for integration of multimodal neuroimaging, behavioral, and clinical data; build large-scale deep learning models for multimodal neuroimaging datasets to construct predictive network models in psychiatric disorders. Source: uta.peopleadmin.com/postings/33389
- Lab / university framing — AI + neuroimaging for precision brain biomarkers: Using artificial intelligence and machine learning to find consistent brain patterns linked to disease worldwide and test usefulness in local clinical trials — scientifically robust and meaningful for patients (Dr. Xi Zhu / BRAIN Lab, NIH-funded). Source: uta.edu/news/…/uta-research-seeks-new-answers-to-brain-disorders
Proof — multimodal scientific ML + large-scale DL transfer
- PhD Environmental Engineering, TAMUK 2022 — multimodel monthly-to-seasonal forecast uncertainty quantification and reduction across basins/hydroclimates (HPC: MODFLOW, VIC, PIHM, NASA LIS; UCAR / TACC Stampede; USGS/NOAA/NASA data).
- Production agentic LLM / deep systems (GPT, Claude, Gemini) with retrieval, routing, multi-tenant isolation, and regression evaluation sets.
- NSF-backed research contracts ($250K+), graduate mentoring, Collin College data-analytics instruction — transferable to grant/manuscript assist and RA/volunteer supervision.
- Arlington / DFW based · onsite UTA Bioengineering lab · Pay Basis Monthly / band unpublished (no invented $).
- Honest frame: related-field doctorate — not an invented BME/CS degree, MRI operator claim, neuroimaging pipeline ownership, or medical-imaging publication record. Stretch: neuroimaging domain onboarding with PyTorch/TensorFlow/Keras in lab.