Prashant Shekhar

I am an Assistant Professor of Data Science in the Department of Mathematics at Embry-Riddle Aeronautical University (ERAU). My research interests are in theoretical foundations of explainable machine learning, transfer learning, computer vision, natural language processing and AI in general. I am also interested in applications of AI to noisy data modeling, healthcare, engineering, finance and environmental science. Before joining ERAU, I was a data scientist at Data Intensive Studies Center (DISC) at Tufts University.

Education

  • Ph.D. in Computational Data Sciences, 2019 (University at Buffalo)
  • M.S. in Mechanical Engineering, 2016 (University at Buffalo)
  • B.Tech. in Industrial and Systems Engineering, 2014 (Indian Institute of Technology, KGP)