Pavement materials and infrastructure engineering · IIT Indore
Building better pavements through materials, mechanics and data
I am Priyansh Singh, an Assistant Professor of Civil Engineering at the Indian Institute of Technology Indore and the principal investigator of PaveLab. My research examines how pavement materials are designed, characterised and evaluated — from asphalt binders and mixtures to pervious concrete and reinforced pavement systems. I combine laboratory experimentation with probabilistic modelling, optimisation and data analysis to develop infrastructure that is durable, resource-efficient and suited to real construction conditions.
Research overview
A connected research programme
Pavement performance emerges from interactions among materials, construction, loading, climate and uncertainty. Our work studies these interactions across four connected themes.
Asphalt materials and rheology
Relating binder and mixture behaviour to ageing, modification, compaction and pavement performance.
Sustainable pavement materials
Evaluating recycled and alternative materials without losing sight of durability, constructability and risk.
Pervious concrete
Designing permeable pavement materials that balance hydraulic function, strength and variability.
Uncertainty and data-informed design
Using probabilistic models, optimisation and machine learning to support transparent engineering decisions.
Selected work
From controlled experiments to reliability-informed design
Recent work from PaveLab demonstrates the progression from controlled experiments to interpretable models and reliability-informed design.
The objective is not merely to fit better models. It is to understand which mechanisms matter, quantify the uncertainty that remains and translate the result into defensible design or construction decisions.
View all publicationsReliability-based optimisation of pervious-concrete gradation to balance strength and permeability under uncertainty.
Separation of specimen-geometry and compaction effects on measured pervious-concrete properties using Gaussian-process modelling and sensitivity analysis.
Statistical optimisation of hydrological and mechanical performance in pervious concrete.
Probabilistic characterisation of asphalt-mixture rutting and damage behaviour.
Viscoelastic assessment of asphalt binders modified with waste polyethylene and emerging sustainable modifiers.
Now teaching
Current courses
2 active · Autumn 2026
Teaching
Teaching is central to my academic work
At IIT Indore, I teach pavement materials, transportation engineering and related civil-engineering courses. I also co-developed the twelve-week NPTEL course Smart Cities, which enrolled 7,144 learners and was taken for examination by 3,286 participants.
7,144
NPTEL learners
3,286
Exam registered
Latest publications
Recent scholarly output
A reliability-based optimisation framework for pervious concrete gradation: Balancing strength and permeability under uncertainty
Results in Engineering · 2026
DOICompaction state characterisation of pervious concrete through aggregate packing density: a descriptor-based approach from dry packing to permeability prediction
Case Studies in Construction Materials · 2026
DOIDecoupling Geometric and Compaction Effects on Pervious Concrete Properties: A Gaussian Process Regression and Sensitivity Analysis
Journal of Testing and Evaluation · 2026
DOICollaborate
Research collaboration, sponsored research and consultancy
I welcome research collaboration with universities, public agencies and industry on pavement materials, performance evaluation, sustainable construction and quantitative infrastructure decision-making.