Prof Kironmala Chanda
Assistant Professor
| Department of Civil Engineering
Indian Institute of Technology (Indian School of Mines), Dhanbad
Jharkhand
Expertise:
Civil Engineering
30
Publications
2
Projects
670
Scopus Citations
622
CrossRef
12 Years 1 Month Total Experience
Scopus
670
Citations
13
h-index
CrossRef
622
Citations
12
h-index
Google Scholar
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Professional Recognition
DAAD - Bilateral Exchange of Academics
2018
German Academic Exchange Service (DAAD)
Sarada Memorial Medal - for Best performer in Environmental Engineering division
2007
Jadavpur University
Community & Membership
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Personal Details
Doctor of Philosophy
2016
Indian Institute of Technology, Ropar
Master of Technology
2011
N/A
Bachelor of Engineering
2007
National Institute of Cholera and Enteric Diseases
Assistant Professor
Jun 2016 – Present
Indian Institute of Technology (Indian School of Mines), Dhanbad
| Department of Civil Engineering
Engineer
Oct 2007 – Jul 2009
Tata Consultancy Services
Engineering and Technology
Scholarly Work
Assessment of the Relationship between Global Climatic Precursors and Hydrological Extremes through Probabilistic Graphical Models
OtherBasin Scale Detection, Attribution and Impact Assessment of Climate Change in North East India
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Scholarly Publications
Uncovering global climate fields causing local precipitation extremes
Open Access
Bayesian Network based modeling of regional rainfall from multiple local meteorological drivers
Feature Selection for Rainfall Prediction and Drought Assessment Using Bayesian Network Technique
Dimensionality reduction of correlated meteorological variables by Bayesian network-based graphical modeling
A Bayesian network approach for understanding the role of large-scale and local hydro-meteorological variables as drivers of basin-scale rainfall and streamflow
Selection of optimum GCMs through Bayesian networks for developing improved machine learning based multi-model ensembles of precipitation and temperature
Investigation of Urban Heat Islands and modeling of Land Surface Temperature over selected Indian cities using MODIS products
Machine-learning-based reconstruction of long-term global terrestrial water storage anomalies from observed, satellite and land-surface model data
Open Access
Showing 1 to 8 of 30 publications