I am pleased to introduce the Hydroinformatics Bundle—a curated set of 20 learning modules designed for faculty members, research scholars, students, and practising engineers working at the intersection of water resources, data, computation, and decision-making.
Water-resource challenges increasingly require more than conventional hydrology alone. Researchers and professionals are expected to work with GIS and remote sensing, data science, artificial intelligence, optimisation, flood analysis, computational methods, and multi-criteria decision-making. Building familiarity across these areas can help support stronger research designs, more relevant student projects, and more informed planning decisions.
The bundle brings these themes together in a structured learning pathway, including modules on:
Data science and artificial intelligence
GIS, remote sensing, and hydrology
Floods and flood routing
Water-resources planning and management
Computational fluid dynamics
Nature-inspired and bio-inspired optimisation
Genetic algorithms and Glowworm Optimisation
MCDM approaches including MAUT, ELECTRE, and ANP
Climate-risk assessment and circular economy in the water sector
Each module is designed to support applied learning through conceptual foundations, practice problems, numerical exercises, and project ideas. It may be useful for developing dissertation topics, strengthening methodological sections of research work, enriching classroom teaching, or exploring new tools for professional practice.
For faculty members, the bundle can serve as a supplementary resource for courses in hydrology, water-resources engineering, environmental engineering, GIS, and decision analysis. For scholars and students, it provides an interdisciplinary starting point for research and project development. For engineers, it offers a focused opportunity to revisit or expand computational and analytical approaches relevant to current water challenges.
The Hydroinformatics Bundle is now available for learners who wish to build practical, research-oriented capability across these interconnected domains.
Explore the Hydroinformatics Bundle and begin creating stronger pathways from water data to informed decisions.

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