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SCMR 2026 · Oral Presentation · Rio de Janeiro, Brazil
Edison Sun
Engineer applying computer vision, statistical modeling, and dynamics and control to advance medical imaging and surgical robotics, with experience in deep learning workflows, robotic accuracy optimization, and high-precision mechanical systems.
Featured Projects
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Formula SAE Braking System
CAD • FEA • Mechanical Design • Hydraulics
Reduced brake rotor mass by 15% (FOS >1.9) via thermal simulation (343 °C peak) and transitioned manufacturing to CNC milling and surface grinding for 0.001" flatness.
Formula SAE Steering System
CAD • Vehicle Dynamics • Manufacturing
Trimmed steering mass by 20% via rack mount redesign, reduced u-joint misalignment ~10° through procedural jigging, and refactored Ackermann geometry (~60–80%) from slip angle analysis.
4-DOF Robotic Manipulator
C++ • Arduino • CAD
4-DOF Arduino robot arm with custom forward/inverse kinematics and smooth trajectory control.
Deep learning AI for aortic diameter measurement and segmentation
CE-MRA pipeline across 73k+ exams: 3D vessel segmentation, centerline tracing, orthogonal diameter sampling, and automated QA with cohort-scale analytics.
Robotic OCT for glaucoma imaging with SLAM montaging
End-effector OCT with visual servoing and feature-based SLAM for wide-field retinal mosaics; real-time pose estimation, overlap-aware path planning, and drift correction.
EDW cohort statistical correlation analysis
Linkage of EDW clinical variables with imaging-derived phenotypes; Pearson/Spearman association testing, stratification by demographics/comorbidity, and multiple-testing control.