Fatai Anifowose obtained a PhD degree in 2014 from University of Malaysia, Sarawak, MS in 2009 from KFUPM and BTech. in 1999 from the Federal University of Technology, Akure, Nigeria. His interdisciplinary career has interwoven the Computational Intelligence aspect of Computer Science with the Reservoir Characterization aspect of Petroleum Geology. He has a total of 20 years post-graduation working experience. For over 7 years, he has been involved in the application of Advanced Data Mining, Big Data Analysis and Computational Intelligence Modeling techniques in petroleum reservoir characterization. He has developed a number of novel algorithms and published more than 50 technical papers in prestigious conferences and reputable journals. He is a member of SPE, International Association of Computer Science and Information Technology, and the Nigeria Computer Society.

Fatai Anifowose, Saeed Shahrani, and Mokhles Mezghani, "Clastic Reservoir Rock Grain Size Estimation from Wireline Logs Using a Random Forest Model: Initial Results", EarthDoc, pp. 1-5, 2020.

Fatai Anifowose, Abdulazeez Abdulraheem, and Abdullatif Al-Shuhail, “A parametric study of machine learning techniques in petroleum reservoir permeability prediction by integrating seismic attributes and wireline data”, Journal of Petroleum Science and Engineering, Volume 176, Pages 762-774, May 2019.

Fatai Anifowose, Suli Adeniye, Abdulraheem Abdulazeez, and Abdullatif Al-Shuhail, "Integrating Seismic and Log Data for Improved Petroleum Reservoir Properties Estimation Using Non-Linear Feature-Selection Based Hybrid Computational Intelligence Models”, Journal of Petroleum Science and Engineering, Volume 145, pp. 230 - 237, September 2016.

Fatai Anifowose, Amar Khoukhi, and Abdulazeez Abdulraheem, "Investigating the Effect of Training-Testing Data Stratification on Soft Computing Techniques: An Experimental Study", Journal of Experimental and Theoretical Artificial Intelligence, Volume 29, Issue 3, pp. 517 – 535, June, 2016.

RESEARCH COLLABORATIONS WITH INDUSTRY:

 ·        Abu Dhabi Oil Company (ADNOC) on the application of Hybrids and Ensembles of Artificial Intelligence techniques for Petroleum Reservoir Characterization.

·        King Abdulaziz City for Science and Technology (KACST) on the application of standalone, hybrids and ensembles of Artificial Intelligence techniques to predict permeability of Petroleum Reservoirs.

·        SABIC on the application of Artificial Intelligence in the Petrochemical Industry.

EDITORIAL BOARDS:

·         A Technical Reviewer for International Journal of Computer and Electrical Engineering (IJCEE)  in the area of:

o   Information and Computer Science.

o   Artificial Intelligence Applications

·         A Technical Reviewer for Elsevier Journal of Network and Computer Applications in the areas of:

o   Artificial Intelligence Applications in Computer Networks.

o   Computational Analysis and Modeling of Networks.

·         A Technical Reviewer for Elsevier Journal of Petroleum Science and Engineering in the areas of:

o   Application of Artificial Intelligence in Reservoir Characterization.

o   Reservoir Simulation.

·         A Technical Reviewer for World of Computer Science and Information Technology (WCSIT) Journal in the areas of:

o   Application of Artificial Intelligence in Oil and Gas Reservoir Characterization.

·         Member of Editorial Board, International Association of Computer Science and Information Technology (IACSIT).

·         A Technical Reviewer and Co-organizer of a Special Session on Computational Intelligence and its Applications in PCO Conference 2011 and 2012 in the areas of:

o   Application of Artificial Intelligence in Petroleum Engineering.

o   Fuzzy and hybrid optimization.

o   Evolutionary algorithms.