Dr Babatunde Anifowose CEnv., MSPE, MEI, SFHEA holds a Diploma in Data Processing (Computer Science), BSc and MSc degrees from the University of Lagos, Akoka-Nigeria and a PhD in Geography and Environmental Science from the University of Birmingham UK (funded by the Nigerian Government through the PTDF: 2007-2010). Dr Anifowose is a data enthusiast who "cut his teeth" in the field back in 1997 and has applied the skills to his research interest on the assessment and mitigation of environmental impacts across complex projects (e.g., oil & gas and renewable energy projects) including the social-environmental science nexus; and specifically, water resources in an EIA context; and how these influence livelihoods and environmental sustainability. This complex issue requires a systematic understanding of hydrological and hydraulic parameters, inter alia, for input characterisation into models of specific river channel or coastal environment of interest to support optimal decision-making in the protection of environmental receptors and ecosystem services. 

Dr Anifowose is a member of the Data Science and Engineering Analytics Technical Section and has expert knowledge and experience in environmental sustainability and project performance evaluation through EIA as a planning tool for sustainable development and management of environmental problems. He uses the GREET model to address climate change issues (e.g. GHG, methane emissions from energy facilities); and has worked on seasonal variation in river flow, hydraulic geometry principle, energy transportation, GIS and environmental remote sensing. Given his computing/data processing background, Babatunde has recently engaged in an evolving research sub-discipline that deals with the applicability of digital technologies (e.g. Artificial Intelligence, Machine Learning etc.) in EIA processes. Dr Anifowose is an invited peer-reviewer for a number of Elsevier Journals. He has been privileged to advice on an externally-funded projects on water pollution and hydro-environmental implications; and, also served as specialist adviser to the CSC on the quality of scholarship applicants and their suitability for UK post-doctoral fellowships in the field of Environmental Science. He is a professional member of the British Hydrological Society (with the Institution of Civil Engineers), the Society of Petroleum Engineers (HSSE and Sustainable Development Technical Discipline), the Energy Institute, and has been a friend of the Transportation Research Board (TRB) of the US National Academies of Science’s committee on Transportation of Hazardous Materials – AT040 since 2008. Dr Anifowose is a Senior Fellow of the UK Higher Education Academy and a member of the UK Engineering and Physical Sciences Research Council’s (EPSRC) Peer Review College. He is on the Board of Directors of SPE's Sustainable Development Technical Section and Chairs the Engineering Professionalism Committee (2021-2022).

Sustainability and Environmental Impact Assessment (EIA) of complex projects (e.g., renewable and non-renewable) including the application of AI/ML-based Natural Language Processing in the analysis of unstructured data, probabilistic topic modelling/LDA approaches etc.; Water pollution & Project Performance Evaluation; Social-Environmental Science nexus of development project impacts in host communities; Economic modelling of energy systems; Decarbonisation and energy system transitions.

I previously did and have expertise in: Oil spill modelling; Flow description for oil spill trajectory simulation; Hydraulic Geometry Principle; Oil and Gas Transportation; Oil and Gas EIA/EIS Quality; Environmental GIS and Remote Sensing; Projects, Facilities and Construction phase interaction with Environmental receptors

To leverage on my previous research experience and policy-impacting research outputs (as recognised by government parastatals (e.g., FMEnvi., DPR) and intergovernmental bodies (e.g., JICA, AfDB)) alongside emerging technologies (AI/ML-based NLP, LDA) to develop novel approaches for sustainable natural resource exploitation, decarbonisation and water pollution prevention.