JAMAL ASSAD, Ph.D.

Over 30 years of experience of oil & gas exploration, production, technology, field development, technology transfer and teaching. He has interpreted and analyzed 2D and 3D seismic data from a variety of key oil & gas regions including Iraq, Australia, Canada, North Sea, Latin America and Gulf of Mexico. He identified prospects and generated prospects for both conventional and unconventional reservoirs in clastics and carbonates. He has working knowledge of statistical and machine learning algorithms including neural networks, multivariate regressions, Bayesian techniques, convex optimization, classifications, clustering and regularizations.