Ekta Sood is a PhD student at the University of Stuttgart, supervised by Prof. Dr. Andreas Bulling in the Perceptual User Interfaces group. Discovering her passion for cognitive systems, with a focus on neuro-linguistics, Ekta explored different avenues for her next educational steps, ultimately deciding on the M.Sc. program in Computational Linguistics at the University of Stuttgart. In her PhD, Ekta works on modeling fundamental cognitive functions of attention and memory at the intersection of computer vision and natural language processing. She focuses on advancing performance in machine comprehension with gaze-assisted deep learning approaches, bridging the gap between data-driven and cognitive models and exploring new ways to interpret neural attention using human physiological data. She holds a bachelors degree in Cognitive Science from the University of California, Santa Cruz. Ekta is a Google Scholarship 2019 awardee and won best poster award at ComCo 2019. More recently, her work was accepted at NeurIPS and CoNLL 2020.
Fragestellungen im Themenfeld Künstliche Intelligenz
Can we improve machine reasoning and understanding by leveraging both cognitive models and complex human physiological data? How can we use these tools to implement cognitive functions that are essential for successful learning in humans, such as attention, memory, and decision making?