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" My research explores the intersection of cognitive modeling, generative AI, and human-AI collaboration in autonomous driving. I’m fascinated by how we can replicate and augment human decision-making in complex driving scenarios, making intelligent systems safer and more intuitive."
Postdoctoral Fellow Profile: Mehdi Cina
School of Mechatronic Systems Engineering Postdoctoral Fellow in the Faculty of Applied Sciences
What do you aspire to create/learn/accomplish during your time at 911³Ô¹Ï?
I aim to develop hybrid driver assistance systems that integrate cognitive architectures, real-time eye-tracking, and generative models to enhance situational awareness and human-machine coordination in autonomous vehicles.
Scholar Who Inspires Me:
I am deeply inspired by my PhD supervisor, Professor Ahmad Rad, whose mentorship has shaped both my research philosophy and technical depth. His vision for integrating engineering rigor with human-centered design has been pivotal in guiding my work. I am also influenced by Allen Newell, whose foundational work in cognitive architectures laid the groundwork for systems like ACT-R that now inform my research..
What’s your best advice for other postdocs and researchers as they embark on their new projects and studies?
Pursue research that aligns with your deepest questions. Stay adaptable, build authentic collaborations, and treat obstacles as part of the creative process—they often lead to the most meaningful breakthroughs.
Contact Mehdi Cina: mcina@sfu.ca