Nastaran Saffaryazdi is a Research Fellow and machine learning engineer with 12 years of experience bridging academic research and software development, currently leading multimodal emotion-recognition projects at the Auckland Bioengineering Institute. She combines deep expertise in image and signal processing with practical engineering—building pipelines that fuse neural, physiological and text data, deploying components on AWS, and supervising PhD students and interns. Her work spans user studies, ethics applications, and clinical outreach, reflecting a rare blend of technical rigor and human-centered evaluation. Earlier roles in banking software, web development and lecturing give her a strong foundation in backend systems, databases and teaching, enabling clear translation of research into deployable solutions. Notably, she is developing an empathetic LLM-based chatbot that integrates physiological signals, illustrating a novel intersection of affective computing and conversational AI.
12 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Emotion Recognition (Image and Singnal processing), Doctor of Philosophy - PhD, Emotion Recognition (Image and Singnal processing) at The University of Auckland
Bachelor's degree, Computer Software Engineering, Bachelor's degree, Computer Software Engineering at Ferdowsi University of Mashhad
Master of Science - MS, Computer Architecture, Master of Science - MS, Computer Architecture at Isfahan University of Technology
Contributions:13 pushes, 1 branch in 3 years 5 months
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Nastaran Saffaryazdi - Research Fellow at The University of Auckland