25 May 2026Open access
A structured review and critical synthesis of multi-criteria decision-making models integrated with machine learning for water resource managementPublisher siteDiscover Water, Water resources management and optimization
Active, last published 2026
In water resources management and optimization
Opeyeolu Timothy
Laseinde
Scholar“Research focused on Water resources management and optimization and adjacent fields.”
University of Johannesburg
South Africa1
H-index
2
Citations
Opeyeolu has not officially claimed their profile. If you are Opeyeolu, claim it free.
Claim Your Profile
Pioneer
LOCKED
Pathfinder
LOCKED
Scholar
EARNED
Innovator
LOCKED
Inventor
LOCKED
Catalyst
LOCKED
Expert
UPGRADE
01 · About the work
What I study
peyeolu Timothy Laseinde is a researcher working on Water resources management and optimization. A fuller summary will appear once they update their profile.
02 · Reach
Publication output and reach
Opeyeolu's work has been cited 2 times across 1 active year. Bars show publications per year; the line shows cumulative citation totals across publications first appearing in each year.
03 · Research focus
Topics
Water resources management and optimization×3Hydrological Forecasting Using AI×3Flood Risk Assessment and Management×2Groundwater and Watershed Analysis×2Hydrology and Drought Analysis×2
04 · Where I am
Affiliations
Affiliation on published researchUniversity of Johannesburg, South AfricaDrawn from the institution listed on this researcher’s published work.
Research themes (UN SDGs)
05 · Selected work
Recent publications
4 works6 May 2026Open access
Machine learning-based forecasting of rainfall and water demand for urban water planning: the case of Ekurhuleni, South AfricaPublisher siteScientific Reports, Hydrological Forecasting Using AI
2 Apr 2026Open access
A Structured Review and Critical Synthesis of Multi-Criteria Decision- Making Models Integrated with Machine Learning for Water Resource ManagementPublisher siteResearch Square, Water resources management and optimization
26 Mar 2026Open access
Forecasting Rainfall and Water Demand for Urban Water Management: A Case Study of the City of Ekurhuleni, South AfricaPublisher siteResearch Square, Hydrology and Drought Analysis
Expert Academic Profiles go further
Citation trend analytics, exportable publication records, and direct enquiry routing from industry and funders.
Are you Opeyeolu?
Claim it to verify your details, connect with industry partners, and explore Fractional Domain Expert opportunities through MARATTO™.
African researchers are full of potential that too often goes unrecognised. Your MARATTO™ profile gives your work the commercial pathway it deserves.
Claim Your Profile
Free to claim · takes a minute to verify it’s you