Papers
3
Total Citations
41
H-Index
3
About
Dr. Julie Iskander’s research bridges the frontiers of ocular biomechanics and empathetic robotics, forging novel connections between human physiology and intelligent machine behavior. Her most impactful work, an ocular biomechanic model for dynamic simulation of different eye movements (34 citations), provides a sophisticated computational framework that captures the complex mechanical interactions of extraocular muscles and tissues during gaze shifts—a foundational tool for advancing ophthalmological diagnostics and surgical planning. Building on this, she developed a reinforcement learning environment for ocular biomechanics (3 citations), enabling autonomous agents to learn realistic eye movement control within a physics-based simulation. In parallel, Iskander has pioneered human-robot interaction through her development of a cloud-based computational framework for an empathetic robot (4 citations), a visionary step toward Industry 5.0. This work introduces a theoretical architecture that allows robots to dynamically adapt their performance based on operator emotional states, customizing task execution to enhance both productivity and user well-being. By integrating biomechanical modeling with affective computing, Dr. Iskander’s contributions are shaping a future where robots not only move with biological realism but also respond with emotional intelligence.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3An ocular biomechanics environment for reinforcement learning3 citations · 2022