Summary
Mohammadmehdi Naghiaei is an AI research scientist and Ph.D. candidate in Industrial Engineering at USC with a decade of experience applying machine learning to real-world recommendation and ranking problems. He combines strong academic pedigree—publishing at SIGIR, CIKM, RECSYS, WSDM and ECIR—with industry impact at Meta, Zillow, Mercedes-Benz R&D and a startup he co-founded, demonstrating the rare ability to move ideas from research to production. His work spans graph neural networks, page-level optimization, and foundational ranking models, and he has driven measurable gains such as boosting an in-car recommender’s success rate from 41% to 94%. A seasoned instructor who earned over 95% approval teaching Engineering Economy, he also serves on review and program committees, reflecting both technical depth and community leadership. Based in Menlo Park, he brings a pragmatic, product-aware research approach that balances algorithmic innovation with business objectives.
10 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD Industrial and System Engineering, Doctor of Philosophy - PhD Industrial and System Engineering at University of Southern California
Bachelor's degree Industrial Engineering, Bachelor's degree Industrial Engineering at Sharif University of Technology
English, Persian, Spanish, Arabic