Amir Akhavanrahnama

I am a Ph.D. in Machine Learning, having completed my doctorate at KTH under the supervision of Professor Henrik Boström. My research interests include:

• Explainability in Machine Learning

• Interpretable Machine Learning. 

My Ph.D. thesis, Evaluating the Faithfulness of Local Feature Attribution Explanations: Can We Trust Explainable AI?, is accessible in DIVA.

I work as a Senior ML Engineer at Capgemini now and am open to collaborating on your research and industry projects related to Explainable AI. Feel free to reach out to me at .