Roger D. Soberanis-Mukul
Papers
3
Total Citations
11
H-Index
3
About
Roger D. Soberanis-Mukul is an emerging researcher whose work sits at the intersection of human-computer interaction, cognitive science, and surgical robotics. His research focuses primarily on eye gaze tracking, pupillometry, and cognitive load estimation within the context of telerobotic surgery — a domain where understanding a surgeon's mental state could meaningfully improve training outcomes and patient safety. Soberanis-Mukul's most notable contribution lies in his comparative evaluations of algorithms and hardware solutions for measuring cognitive effort during surgical teleoperation. His 2023 paper on pupillometry-based cognitive load estimation, which has garnered five citations, systematically benchmarks algorithmic approaches to interpreting pupil dilation signals — a physiological proxy for mental workload — in operationally demanding environments. His subsequent 2024 studies extend this work by evaluating head-worn eye-tracking devices under real-world telerobotic conditions, helping establish practical guidelines for integrating these tools into surgical workflows. Though early in his career with a modest but growing citation profile, Soberanis-Mukul is addressing questions of genuine clinical relevance. By bridging wearable sensing technology with surgical training systems, his research lays groundwork for adaptive interfaces that could one day respond dynamically to a surgeon's cognitive state, enhancing both performance and safety in high-stakes robotic procedures.
Research Focus
Key Achievements
Top Papers
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