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
16 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Science, Très bien, Doctor of Philosophy (PhD), Computer Science, Très bien at University of Geneva
M.Sc, Biomedical Engineering, Department of electrical and computer engineering, M.Sc, Biomedical Engineering, Department of electrical and computer engineering at University of Tehran
High school diploma, Mathematics and Physics, High school diploma, Mathematics and Physics at Allmaeh Helli High school
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