Abstract: Image Recognition Primer: Alexnet to Fast R-CNN and Mask R-CNN Applications aims to bring together researchers in the fields of Deep Learning and Image Recognition. The workshop will address recent advances in theory, methodologies and various related applications. It is meant to promote the advancement, discussion and presentation of new research and development in the areas of Deep Learning, Image Recognition and applications. Of special interest are how image recognition has evolved from Alexnet to Advanced Convolution Image recognition.
Bio: Bhairav Mehta is Senior Data Scientist with extensive professional experience and academic background. Bhairav works for Apple Inc. as Sr. Data Scientist.
Bhairav Mehta is experienced engineer, business professional and seasoned Statistician / programmer with 19 years of combined progressive experience working on data science in electronics consumer products industry (7 years at Apple Inc.), yield engineering in semiconductor manufacturing (6 years at Qualcomm and MIT Startup) and quality engineering in automotive industry (OEM, Tier2 Suppliers, Ford Motor Company) (3 years). Bhairav founded a start up DataInquest Inc. in 2014 that is specialized in training/consulting in Artificial Intelligence, Machine Learning, Blockchain and Data Science.
Bhairav Mehta has MBA from Johnson School of Management at Cornell University, Masters in Computer science from Georgia Tech (Expected 2018), Masters in Statistics from Cornell University, Masters in Industrial Systems Engineering from Rochester Institute of Technology and BS Production Engineering from Mumbai University.