Profile
Dr. Priyansh Singh
Assistant Professor of Civil Engineering · IIT Indore · Principal Investigator, PaveLab
Biography
Priyansh Singh is an Assistant Professor of Civil Engineering at the Indian Institute of Technology Indore and leads PaveLab, a research group working on pavement materials and sustainable infrastructure. His research investigates asphalt binders and mixtures, pervious concrete, recycled and alternative pavement materials, and the role of uncertainty in material design and performance assessment. His work combines experimental characterisation with mechanics-based interpretation, probabilistic analysis, optimisation and machine learning. Across these methods, the central aim is consistent: to explain material behaviour well enough to support reliable engineering decisions rather than treating predictive accuracy as an end in itself. He received his Ph.D. in Civil Engineering with a specialisation in pavement materials from the Indian Institute of Technology Delhi, his M.Tech. in Transportation System Engineering from the Indian Institute of Technology Guwahati, and his bachelor's degree in Civil Engineering from Jabalpur Engineering College. He teaches undergraduate and postgraduate courses in transportation and pavement engineering and contributes to professional training, academic administration and industry-supported pavement evaluation.
Priyansh Singh's research programme developed from early work on asphalt-mixture compaction, aggregate gradation, permanent deformation and probabilistic characterisation of laboratory performance. This foundation led to studies of viscoelastic damage, binder ageing and waste-polyethylene modification, followed by a broader programme on sustainable pavement materials and uncertainty-aware design. At IIT Indore, his group has established a substantial line of research on pervious concrete. The work examines how mixture proportions, aggregate packing, specimen geometry and compaction influence porosity, strength, permeability and multifunctional performance. The programme increasingly integrates statistical learning, sensitivity analysis and reliability-based optimisation to make design recommendations that remain useful when material behaviour is variable. His current interests also include asphalt-binder rheology, aggregate degradation during compaction, risk-aware use of reclaimed or alternative materials, reinforced pavement systems and the transfer of laboratory evidence to field and consultancy decisions. Through PaveLab, he works with students across doctoral, postgraduate and undergraduate programmes and engages with government and industry on testing, evaluation and design review.
Research interests
- Asphalt-binder rheology, ageing and modification
- Asphalt-mixture compaction, aggregate structure, rutting and damage
- Pervious-concrete mixture design and multifunctional performance
- Recycled, low-carbon and alternative pavement materials
- Probabilistic modelling, uncertainty quantification and reliability-based optimisation
- Data-driven models with interpretable engineering structure
- Pavement evaluation, rehabilitation and reinforced pavement systems

