Sadaf Gulshad is an AI researcher with eight years of experience focusing on robustness and explainability of deep neural networks, most recently as a Postdoctoral Researcher at the University of Amsterdam and now working in an applied AI role for a government organization. Her work centers on making video action recognition models transparent by leveraging visually discriminative attributes to generate human-understandable explanations, and she has published and presented multiple papers at top venues. She bridges disciplines—computer vision, NLP, and robotics—to both evaluate methods in diverse settings and push human-centered, ethical AI practices. Fluent in cross-cultural research environments (PhD in AI from UvA and graduate training at KAIST), she pairs rigorous experimentation with practical collaboration across academia and industry.
8 years of coding experience
4 years of employment as a software developer
Master's degree, Electrical and Electronics Engineering, Master's degree, Electrical and Electronics Engineering at Korea Advanced Institute of Science and Technology
Sir Syed College Wahcantt
KGSP (Korean language training), KGSP (Korean language training) at Kangwon National University
Doctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at University of Amsterdam
Contributions:43 pushes, 1 branch in 2 years 4 months
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Sadaf Gulshad - AI Researcher at Confidential Government