My research explores the intersection of autonomous vehicles and algorithmic bias. Specifically, I focus on perception tasks in autonomous vehicles and algorithmic biases that may lead to discrimination and safety risks for pedestrians or vehicle users.
In this era where AI systems are increasingly integrated into our lives, I wanted to be a part of the STAI CDT to collaborate with individuals working toward similar goals. Through my peers, I hope to gain insights into diverse areas of Safe and Trusted AI while receiving valuable feedback on my project and enriching my PhD journey.
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Undergraduate Qualificiation: BSc Computer Engineering, Konya Technical University
Masters Qualification: MSc Computer Engineering, Eskisehir Osmangazi University
Work Experience: Research Assistant at Selcuk University, Turkey
LinkedIn: Irem Yoldas | LinkedIn