Iris Gupta

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About

Iris Gupta is a rising researcher at the intersection of computer vision, medical robotics, and human-computer interaction. Her work focuses on enhancing the safety and usability of technology-assisted surgery through advanced visualization and cognitive state monitoring. A key contribution is her 2023 study on 2D/3D registration visualization for image-guided surgery, which has already garnered 10 citations for its insights into how visual fidelity impacts surgical precision. Gupta is also a pioneer in applying pupillometry and eye-gaze tracking to telerobotic surgery. Her 2023 paper on comparative algorithms for cognitive effort estimation (5 citations) demonstrates how real-time pupil dilation analysis can reveal a surgeon’s cognitive load, paving the way for adaptive robotic assistance. Building on this, her 2024 work directly compares different eye tracker designs for measuring cognitive load in tele-robotic contexts (3 citations), addressing a critical gap in non-invasive workload assessment. By bridging computer vision, human factors, and surgical robotics, Gupta is helping to create smarter, more responsive surgical systems that can anticipate and alleviate operator strain, improving both patient outcomes and surgeon well-being.