Sell and Buy products and services on in Minutes India. Free ads in India. Looking for a product or service online. ©

Clement is a researcher in data assimilation, inverse problems, applied math, Bayesian statistics, machine learning (ML), reservoir engineering & artificial intelligence (A.I). He has a BS.c in Chemical Engineering from the University of Lagos, MS.c in Petroleum Engineering from Robert Gordon University, Aberdeen and a PhD in Petroleum Engineering (with emphasis on Inverse problems & Machine Learning) from the University of Manchester. He obtained his PhD under the supervision of Dr Rossmary Villegas, Dr Oliver Dorn and Dr Masoud Babaei, with his thesis titled “Structural and Shape Reconstruction Using Inverse problems and Machine Learning Techniques with application to Hydrocarbon Reservoirs. His PhD research focused on subsurface Inverse/Data assimilation problems termed “History matching” and was one of the pioneers in using ensemble-based data assimilation with unsupervised learning for characterizing reservoir models. He also attained a Post-doc in applied mathematics & artificial intelligence under the supervision of Professor Kody Law at Oak Ridge National Laboratory (Tennessee-USA) and current chair of applied mathematics at the Department of Mathematics, University of Manchester (UK). His current research interest includes but not limited to using several supervised machine and deep learning techniques for developing surrogate models unique to large scale physics/scientific/computational problems, health datasets, materials fingerprinting and classification using several computer vision techniques such as convolution neural networks (CNN), Bayesian and statistical methods for solving inverse problems with keen application to Bayesian deep learning approach to neural networks, improving Natural Language models (NLP) for semantics and text classification with limited voice recognition scenarios, speech synthesis, Mixture of experts using deep Gaussian processes and reservoir history matching with ensemble-based approach infusing extra source of data, in particular, 4D seismic and electromagnetic data. Clement has several papers published in high impact journals focusing on petroleum reservoir inverse problems and machine learning. His hobbies are coding (for fun in Matlab and Python), playing Chess, reading medical science journals, playing FIFA and watching videos on space exploration and the Cosmos. His long term career goal is to be world-renowned in the field of A.I/ML and hopefully win the noble prize in his lifetime. ©