P
Prashant Kumar
Researcher at University of Surrey
Publications - 470
Citations - 16345
Prashant Kumar is an academic researcher from University of Surrey. The author has contributed to research in topics: Air quality index & Medicine. The author has an hindex of 54, co-authored 363 publications receiving 11561 citations. Previous affiliations of Prashant Kumar include Southeast University & Dr. B. R. Ambedkar National Institute of Technology Jalandhar.
Papers
More filters
Journal ArticleDOI
Non-linear periodic long waves based on Boussinesq equation for shallow water waves: A coupled FEM modeling
TL;DR: In this article , a coupled mathematical model based on the nonlinear Boussinesq equation (BE) for shallow water waves is developed to investigate the influence of the periodic non-linear long waves inside the irregular domain.
Journal ArticleDOI
Pro-Environmental Potential in Activity-Travel Routine of Individuals: A Data Driven Computational Algorithm
Shiraz Ahmed,Muhammand Adnan,Davy Janssens,Ansar-Ul-Haque Yasar,Prashant Kumar,Elhadi M. Shakshuki +5 more
TL;DR: A computation algorithm is developed that helps identify relatively easier changes in the travel behavior of an individual that have potential to reduce negative impacts of mobility on environment and individual health.
Book ChapterDOI
Single-Cell Multiomics: Dissecting Cancer
TL;DR: This review focuses on the use of single-cell omics in cellular model of cancer and its clinical application and highlights the potential of using multiomics approach to understand the cellular heterogeneity at multiple layers.
Journal ArticleDOI
Exposure and dose assessment of school children to air pollutants in a tropical coastal-urban area.
Yasmin Kaore Lago Kitagawa,Yasmin Kaore Lago Kitagawa,Yasmin Kaore Lago Kitagawa,Prashant Kumar,Elson Silva Galvão,Jane Meri Santos,Neyval Costa Reis,Erick Giovani Sperandio Nascimento,Davidson Martins Moreira,Davidson Martins Moreira +9 more
TL;DR: In this article, the authors estimated exposure and inhaled dose to air pollutants of children residing in a tropical coastal-urban area in Southeast Brazil using data provided by the combination of WRF-Urban/GEOS-Chem/CMAQ models, and the nearby monitoring station.