Alhasan Shnoot

Built an end-to-end Arctic sea-ice motion analysis pipeline processing raw Barrow radar imagery into structured geospatial time-series datasets. Implemented Normalized Cross-Correlation (NCC) PIV to estimate hourly ice-drift velocity fields at 25 m/px resolution. Designed a six-stage statistical quality control pipeline including radar masking, geographic validity filtering, low-contrast rejection, peak prominence, velocity bounds, and median-angle coherence outlier removal. Engineered fault-tolerant multi-year batch processing with automated time-coordinate reconstruction, CF-compliant NetCDF encoding, zlib compression, and duplicate/gap diagnostics. Integrated ERA5 climate reanalysis data for validation against reanalysis products.

Built a complete circuit simulation and exercise framework in Unity, deployed across Québec CÉGEPs (2500+ lines). Implemented a Modified Nodal Analysis solver with Gauss-Jordan elimination and partial pivoting for runtime computation of node voltages and branch currents. Developed a 600-line procedural symbol-rendering system using pooled LineRenderers to visualize resistor zigzags, battery plates, switches, meters, and polarity from node-position data. Designed step-based exercise sequencing with layout switching, branching paths, and configurable annotation visibility. Created a multi-mode drag-and-drop validator with current-direction alignment, tag-based identification, and a configurable scoring pipeline.

Founded and led a student research group to design and construct a functional cyclotron accelerator, resulting in three independent graduation projects completed by six students. Secured $6,000 in funding from the Dawson Student Academic Enrichment Fund. Published in the Dawson Journal of Experimental Science and presented at the 2024 Conference of Undergraduate Physics Canada.