I’m Barak Gahtan, a PhD candidate at Technion University, under the supervision of Prof. Alex Bronstein and Prof. Reuven Cohen. I build deep learning systems for real-world temporal data across wearables (physiology + activity recognition), communication networks (encrypted QUIC and teleoperation-oriented modeling), and spatiotemporal processes (differentiable eikonal solvers for wildfire propagation), with additional work on medical risk prediction from clinical records. Outside the lab, I enjoy family time, coaching runners, exploring new trails, and training for my next marathon.
News
- 3/2026 "Wildfire Simulation with Differentiable Randers-Finsler Eikonal Solvers" has been accepted to SGP 2026 and will appear in the Eurographics Digital Library.
- 08/2025 New preprint: "Matched Effective Sample Size for Temporal Evaluation with Conservative TCN Bounds"
