Gaurav Goswami

Developer Advocate

AnalyticsArtificial intelligencePythonJava

Gaurav Goswami has five years of experience working in the areas of  artificial intelligence, machine learning, deep learning, computer  vision, pattern recognition, and biometrics. His Ph.D. thesis focuses on  using machine learning and computer vision techniques to solve  challenges in face recognition by improving the computation and  combination of robust representations.  He has worked on a wide variety  of research problems ranging from proposing novel deep learning  architectures for feature learning to RGB-D face recognition, creating  face recognition CAPTCHAs, and attacking deep neural network based face  recognition systems. He has authored and reviewed multiple peer reviewed  articles for international journals, conferences, and books.  He has  been awarded the prestigious IBM Ph.D. fellowship for the year  2015-2016. He is the recipient of the best Doctoral Consortium  presentation award at the 2014 IEEE/IAPR International Joint Conference  on Biometrics (IJCB). He also placed 3rd in the 2014 IDRBT Doctoral  Colloquium and won the best paper award at the 2013 IEEE International  Conference on Biometrics: Theory, Applications, and Systems (BTAS)
Research Areas: Artificial intelligence, machine learning, deep learning, computer vision, pattern recognition, and biometrics
Programming Experience: MATLAB, Caffe, Python, Java, C#, C++, R, PHP, SQL

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