I am a postdoctoral researcher at ETH Zurich, specialising in human factors, resilience engineering, and collaborative human-computer interaction in complex, safety-critical systems. My PhD at the Singapore-ETH Centre focused on supporting sense-making and decision-making in traffic control rooms through advanced methods for cognitive load assessment, eye-tracking analytics, and communication strategies under uncertainty.
My research bridges control room operations, cognitive science, and data-driven design, leveraging techniques such as cognitive load detection, microsaccade detection, and gaze- and voice-based collaboration tools. I am passionate about designing intelligent, resilient interfaces that enhance teamwork, situational awareness, and operator well-being in high-stakes environments.
I am currently expanding this work through the Digital Cabin Emergency Evacuation Trainer (D-CEET) project, developing VR-based training for airline crew members. My research focuses on validating the effectiveness of digital twin training concepts using eye-tracking, physiological sensing, and behavioural analytics to assess cognitive load, situational awareness, and collaborative decision-making during high-stakes emergency scenarios.
Advancing decision-making under uncertainty through human–computer interaction and visualization.
| Dec 2025 | Paper on collaboration accepted in IJHCI. |
| April 2025 | Started Postdoc at ETH Zurich. |
| March 2025 | Defended PhD thesis at ETH Zurich. |
| Aug 2024 | Paper on cognitive load detection at IEEE THMS. |
You can check out my selected previous works below 😉
Beyond Words: The Impact of Eye-Gaze Sharing on Collaboration and Cognitive Load
This study investigates collaboration under high workload conditions. Teams sharing eye gaze information outperform speech-only collaboration, reducing cognitive load and improving coordination when everyone is under pressure.
Estimating Perceived Mental Workload From Eye-Tracking Data Based on Benign Anisocoria
This paper introduces two new eye-tracking metrics based on subtle left-right pupil differences, providing an accurate assessment of cognitive load. The approach was validated using an N-back test, showing reliable workload measurement.
The influence of uncertainty visualization on cognitive load in a safety- and time-critical decision-making task
This study explores how different visualization techniques reduce cognitive load for traffic controllers and professionals in safety-critical domains. Eye-tracking data shows that decision-making improves when uncertainty is visualized effectively.
Localization of eye saccadic signatures in electrooculograms using sparse representations with data-driven dictionaries
We propose two methods to localize saccadic eye movement signatures in EOG recordings using sparse representations and dynamic time warping, offering fast and accurate approaches for context-specific applications.
Modeling and Analysis of Electrodes for Electrooculography
This work compares electrodes of different materials (Copper, Gold, Silver, Ag-AgCl) for EOG applications, proposing a low-cost dry electrode assembly that ensures better signal quality and user comfort.
Active Sensors for the Acquisition of Physiological Signals
This paper presents gold-plated copper electrodes with active compensation for acquiring EEG, EOG, and ECG signals, addressing common challenges in physiological signal acquisition and providing a composite database for research.