Fatemeh (Aiyana) Mozaffar, PhD candidate, University of Georgia
Fatemeh (Aiyana) Mozaffar, PhD candidate, University of Georgia
I research how humans and AI can collaborate more effectively in smart manufacturing environments. My work explores trust, human behavior, and novel ways for AI to communicate with people, including the use of music as a communication channel.
Research area:
Human-AI Teaming, Trust in AI, Smart Manufacturing, Behavior Analytics, Human-Centered Design
About ME
Hi, I’m Fatemeh "Aiyana" Mozaffar. I’m a PhD candidate in Mechanical Engineering at the University of Georgia, and my path into engineering has always been shaped by curiosity, creativity, and the people around me. I grew up in a family of engineers. As the only girl, I spent a lot of time playing with my brothers’ toy cars. What started as playing eventually became a curiosity about how the things around us are designed, built, and brought to life. As I grew older, I began exploring interests of my own, especially music and acoustics. I became fascinated by how sound and music can influence the way we feel, think, and behave. Over time, I realized that I didn’t want to choose between engineering and creativity. I wanted to understand where they intersect. I studied Mechanical Engineering at Sharif University of Technology in Iran, where I had the opportunity to learn alongside some of the brightest students in the country. That experience challenged me technically and shaped the way I approach problems: with curiosity, rigor, and a willingness to look beyond traditional disciplinary boundaries.
Today, I see myself as an interdisciplinary engineer and researcher. I’m interested in problems where technology, human behavior, creativity, and design come together. My research in human–AI collaboration reflects that perspective: I’m not only interested in what technology can do but also in how people experience it, communicate with it, and work alongside it. I believe many of the challenges we face today are not purely technical; they are sociotechnical. Solving them requires not only engineering expertise but also an understanding of people.