Professor Mahdavi-Amiri's research focuses on Computer Graphics and Geometric modeling. He currently works on 3D deep learning and generative AI. He mainly focuses on applying diffusion models in art, design, and visual effects. He teaches Practices in Visual Computing and has previously taught Computer Graphics, Geometric Modeling, and Algorithm Design. He has had many great mentors who have influenced his career. The most influential are Dr. Hao (Richard) Zhang and Dr. Daniel Cohen-Or, now his closest collaborators.

We had a chat with Dr. Mahdavi to learn more about him and his journey in academia

What is your academic background, and what inspired your career in academia?

I have always been drawn to mathematical models and geometry. My interest in computer programming, games, and graphical illustrations has steered me toward the captivating field of Computer Graphics and Geometric Modeling.

What has been your proudest professional achievement so far?

Aside from the awards I have received, which recognize my work in visual computing, my proudest achievements have been striking a balance between teaching and research. I have consistently received high evaluations from my students and several nominations and awards for teaching excellence awards. I am very proud to see my students enjoy my lectures.

Have you had any career challenge?  How did you overcome it and what lessons have you learned from the setbacks?

The greatest challenge lies in maintaining consistency and demonstrating perseverance. A successful researcher must adeptly grasp new concepts and be willing to shift research directions multiple times. One may receive several rejections from top venues, but I tried not to blame the system and work harder.

What is the vision for the future of your field and your role?

It is hard to tell. With the pace at which generative AI is moving, it is impossible to predict the future. However, I hope that the power of Generative AI helps us remove redundant tasks and focus on creative ones that we enjoy doing more.

What contributed to your success in grad school, and what advice will you give to students aspiring to enter your field?

I suggest that students surround themselves with positive colleagues, work hard and be ambitious. Continuous learning and exploration of new ideas are crucial. Collaborating with renowned researchers is beneficial, and tackling problems with substantial impacts is advisable. Additionally, finding efficient work methods for the long haul is essential. Ultimately, research is like a marathon rather than a sprint.

Are there any current books you are reading or would recommend?

The books that I have recently read are Atomic Habits and a novel, The Life Before Us, written by Romain Gary.

What are your hobbies or activities outside of academia?

I used to play soccer, but recently got several injuries, so I am avoiding it now. I go hiking with my wife, Tina, and dog, Coco. I watch movies, read books, and exercise. I also like cooking, but recently, I have not found enough time to make my favorite foods.

If you could have dinner with any historical figure, who would it be and why?

It's a challenging question, but my favorite individuals are Alan Turing and Leonardo Da Vinci. Alan Turing is one of the most, if not the most, influential computer scientists, with diverse contributions spanning computational biology, computer science theory, and cryptography. On the other hand, Da Vinci was a highly creative figure in history, blending science and art simultaneously.