* Build end-to-end setups to study user experience and visual perception in AR with human participants

* Develop software on top of psychophysical development platforms to run human factor research and demos in AR.

* Develop image processing pipeline to test and enhance image quality in AR.

◾ Develop, integrate and test attention guidance system using eye tracking data to enhance driver awareness:

* Analysis of requirements and design of the system.

* Train, evaluate, fine-tune of advanced deep learning models (CNN, RNN, LSTM, Transformer).

* Implementation of the system within driving simulator.

* Design Experiments and perform statistical analysis to validate the system.

* Cross-functional collaboration with designers and engineers.

* Technical documentation of the system and publication of results.

◾ Development of driver intention recognition model for AutoMate EU project (Automation as accepted and trusted TeamMate to enhance traffic safety and efficiency)

◾ Design experimental scenarios, collect and analyze data, develop and test human-centered models for Advanced Driving Assistant Systems:

* Design simulation scenarios and real-world driving experiments to collect data based on project requirements.

* Train, evaluate and fine tune deep learning (CNN, UNet, ResNet, ...) perception models for object detection and semantic segmentions.

* Develop real-time driver intention recognition models using Dynamic Bayesian Networks with 85% accuracy in roundabout scenarios.

* Implementation of interfaces to integrate models to driver assistant systems and car simulators.

* Documentation of methods used in libraries and provide customer support.

* Product presentation and marketing in technology conferences.

• Analysis tool development: I developed a Graphical User Interface in MATLAB which enables the user to pre-process and align raw voltage sensitive dye (VSD) imaging data and to extract voltage time courses of individual cells.

• Processing method development: I developed preprocessing algorithms to overcome bleaching artifact in VSD data.

• Data analysis: I analyzed the neuronal responses to tactile stimuli with different intensities in different locations to understand how the nervous system encodes the intensity and location of tactile stimuli.