Engineering a future that works with nature

Artificial intelligence can become an important part of this transition. AI models can synthesise these complex variables to simulate varied rainfall scenarios and pinpoint exact accumulation zones

Every monsoon brings a familiar story across India: flooded streets, stalled traffic, and submerged basements filling social media feeds. In Bengaluru, commuters gridlock on roads never built for today’s vehicle volumes. In the hills of Uttarakhand, a heavy downpour can turn a freshly cut road into an active landslide zone. While one part of the country struggles to drain water away, another fights to keep the mountain itself from sliding down. These recurring crises are sharp reminders that we can no longer design infrastructure in isolation from nature.

For a long time, the dominant idea of development was straightforward: build more roads, wider drains, taller buildings and larger structures. Concrete became the visible symbol of progress. But Indian cities and landscapes are telling us that the question is no longer only how much we can build. It is whether what we build can withstand the conditions in which it has to function.

Take urban flooding. When torrential rain hits, the issue is rarely just about drain capacity. Water flows across an interconnected landscape shaped by soil permeability, land slope, built-up density, wetland conditions and tree coverage.

Artificial intelligence can become an important part of this transition. AI models can synthesise these complex variables to simulate varied rainfall scenarios and pinpoint exact accumulation zones. Instead of relying on guesswork, engineers can evaluate specific solutions, testing whether a site needs an expanded drain, a restored lake, permeable pavement, a rain garden, or simply clearing an obstruction along a natural drainage path. AI helps us view and plan the city as an integrated, living ecosystem.

The same principle applies to the mountains, perhaps even more urgently. At COER University in Roorkee, our proximity to the Himalayan region constantly reminds us that engineering solutions have to be sensitive to geography, climate and local communities. A student studying civil engineering here should not see a mountain road simply as a construction project but evaluate the slope stability, natural drainage, vegetation and surrounding settlements.

Technology elevates this holistic perspective. By combining sensors, satellite imagery, drones and AI-driven pattern recognition, we can continuously monitor slopes, bridges and retaining structures. Early detection of subtle ground shifts or altered water flows gives engineers crucial time to inspect and intervene before a minor issue escalates into a major disaster. At COER, our engineering and technology programmes sit alongside areas such as agriculture, management, legal studies, health sciences and humanities. That proximity creates an opportunity to ask questions that do not fit neatly inside one department: How should a climate-resilient city be planned? How can technology support farmers facing changing weather? How should AI be governed when it affects public infrastructure?

This is also the kind of interdisciplinary thinking that universities must encourage. The smartest infrastructure of the future may not always be the largest or most visible. Sometimes it may be a restored lake, a shaded street, a carefully monitored hillside or a drainage system designed around the natural movement of water.

The challenge is to use technology to understand nature better. A civil engineer designing a road, for instance, needs to understand more than materials and construction techniques. The engineer must also understand hydrology, ecology, climate patterns, urban planning and the social consequences of infrastructure decisions. Similarly, an AI engineer developing a predictive model for floods or landslides needs to understand the limitations of the data on which that model is trained.

The idea of resilience also needs to move beyond emergency response. A city should not become resilient only after a flood, a bridge failure or a landslide has occurred. Resilience should be built into the design stage itself. This means asking difficult questions before construction begins: Where does water naturally flow? What happens when rainfall exceeds the historical maximum? What will happen to this slope after vegetation is removed? Can the infrastructure be repaired locally? What happens to the surrounding community if the system fails?

Universities have a responsibility to prepare young engineers for this reality. Classrooms should increasingly become spaces where students work on real problems rather than only hypothetical ones. A student team could map a local watershed, analyse traffic and rainfall data, examine a vulnerable hillside, or design a low-cost early-warning system. Such experiences teach students that engineering is not simply about finding technically correct answers; it is about finding solutions that work in the real world.

India has the talent, technology and institutional capacity to make this transition. What we need is a stronger connection between them. Universities, governments, industry and communities must work together to make infrastructure more adaptive, predictive and responsive. India will continue to build. But the next phase of development should teach us to build with greater humility.

The writer is a Vice-Chancellor, COER University, Roorkee; Views presented are personal.