Amir Adler

Amir Adler is Associate Professor of Electrical Engineering at Braude College of Engineering and a visiting scientist at MIT. He was a post-doctoral associate at the laboratory of Prof. Tomaso Poggio at the Center for Brains, Minds, and Machines (CBMM) at MIT, where he worked on deep learning and inverse problems. He is a pioneer in the field of deep-learning-based seismic inversion, and he discovered the first convolutional and recurrent neural architectures for 2-D velocity inversion, in collaboration with Shell Exploration & Production. His work on seismic inversion was featured in IEEE Signal Processing Magazine, and later he developed deep learning architectures for 3-D velocity inversion and seismic data dimensionality reduction, in collaboration with TotalEnergies Research & Technology. His research interests include machine learning for inversion and imaging.