Making CNNs work for non-visual data

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Suhas Sreehari – Assistant Vice President of the Model Development Center of Excellence | Wells Fargo

Dr. Suhas Sreehari is Assistant Vice President of the Model Development Center of Excellence at Wells Fargo, San Francisco, where he leads efforts in explainable machine learning models, hyper-parameter optimization, anomaly detection, and sparse representations. He earned his PhD in electrical engineering from Purdue University. His research interests lie in explainable AI, machine learning, computational imaging, signal processing, optimization, statistical modeling, estimation, and prediction for a variety of real-world applications. He has also received several awards for his work including the 2020 SIAM Imaging Sciences Best Paper Prize and the 2018 IEEE Signal Processing Society Young Author Best Paper Award.