Mohammad Soleymani is a research-focused AI scientist and Research Associate Professor at USC with eight years of experience building systems that understand and generate human behavior, particularly emotional and multimodal signals. His work spans deep learning for continuous emotion recognition, content-based recommendation, and predicting visual interestingness, grounded in extensive experimental design and crowdsourcing expertise. He has advanced benchmarks and evaluation campaigns in multimedia affective computing, supervised multiple researchers, and secured competitive grants across European and UK fellowships. Based in Los Angeles, he blends rigorous academic inquiry with practical toolchains (Python, Matlab, Keras, NumPy) to move models from lab prototypes to reproducible evaluations—an unusual strength for a researcher who also has early engineering experience in OCR and network administration.
8 years of coding experience
Doctor of Philosophy (PhD), Artificial Intelligence, Doctor of Philosophy (PhD), Artificial Intelligence at Islamic Azad University Central Tehran Branch
Master of Science (M.S.), Artificial Intelligence, Master of Science (M.S.), Artificial Intelligence at Islamic Azad University qazvin
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