Work Experience 

• Associate Professor

Department of Civil Engineering,

Indian Institute of Technology (Indian School of Mines) Dhanbad, India

August 2023 – Present

• Assistant Professor

Department of Civil Engineering,

Indian Institute of Technology (Indian School of Mines) Dhanbad, India

June 2016 – August 2023

• Research Assistant

Indian Institute of Technology Kharagpur, India

January 2016 – April 2016

• Assistant Systems Engineer

Tata Consultancy Services, India

October 2007 – July 2009

Education 

• Ph.D. (Civil Engineering)
   Indian Institute of Technology Kharagpur
    2011 – 2016
    Thesis: Characterization and Hydroclimatic Prediction of Droughts in the Context of Changing Climate

• M.Tech (Hydraulics & Water Resources Engineering)
    Indian Institute of Technology Kharagpur
    2009 – 2011 | CGPA: 9.64/10 (First Rank)

• B.E. (Civil Engineering)
    Jadavpur University
    2003 – 2007 | Sarda Memorial Medal (Environmental Engineering)

Book Chapters

1. Chanda, K., Das, P. (2022). Dimensionality reduction of correlated meteorological variables by Bayesian network-based graphical modeling. In Handbook of HydroInformatics, Volume II: Advanced Machine Learning Techniques. Elsevier, pp. 69–76. DOI: https://doi.org/10.1016/B978-0-12-821961-4.00021-X 

2. Das, P., Chanda, K. (2022). Feature selection for rainfall prediction and drought assessment using Bayesian network technique. In S. Kolathayar, A. Mondal, S. C. Chian (Eds.), Climate Change and Water Security, Lecture Notes in Civil Engineering, Vol. 178. Springer, Singapore. DOI: https://doi.org/10.1007/978-981-16-5501-2_10 

3. Kumar, S., Chanda, K., Pasupuleti, S. (2021). Influence of air temperature on local precipitation extremes across India. In R. Jha, V. P. Singh, V. Singh, L. B. Roy, R. Thendiyath (Eds.), Climate Change Impacts on Water Resources. Springer Nature, Switzerland. DOI: https://doi.org/10.1007/978-3-030-64202-0_14 

4. Chanda, K., Maity, R. (2017). Global climate pattern behind hydrological extremes in Central India. In V. P. Singh et al. (Eds.), Climate Change Impact (ICWEES 2016). Springer Nature, Singapore, pp. 71–89. DOI: https://doi.org/10.1007/978-981-10-5714-4_6 

5. Maity, R., Chanda, K. (2015). Potential of genetic programming in hydroclimatic prediction of droughts: An Indian perspective. In A. H. Gandomi, A. H. Alavi, C. Ryan (Eds.), Handbook of Genetic Programming Applications. Springer, pp. 381–398. DOI: https://doi.org/10.1007/978-3-319-20883-1_15 

Peer Reviewed Journals

1. Das, P., Chanda, K., 2025. Selection of optimum GCMs through Bayesian networks for developing improved machine learning based multi-model ensembles of precipitation and temperature. Stoch Environ Res Risk Assess 39, 155–179).DOI: https://doi.org/10.1007/s00477-024-02856-3

2. Kumar, S., Das, P., Mandal, N., Chanda, K., & Pasupuleti, S. 2024. Joint probabilistic behaviour of climate extremes over the Godavari River basin, India. International Journal of Climatology, 44(9), 2876–2896. DOI: https://doi.org/10.1002/joc.8486

3. Mahmoudi, P., Maity, R., Amir Jahanshahi, S.M., Chanda K., 2024. Changing Pattern of Drought Proneness Across Iran. Iran J Sci Technol Trans Civ Eng 48, 4709–4729. DOI: https://doi.org/10.1007/s40996-024-01579-3 

4. Mandal, N. and Chanda, K., 2023. Contribution of climate and catchment characteristics to runoff variations in Indian river basins: a climate elasticity approach. Hydrological Sciences Journal, pp.1-18. DOI: https://doi.org/10.1080/02626667.2023.2236092 

5. Mandal, N. and Chanda, K., 2023. Performance of machine learning algorithms for multi-step ahead prediction of reference evapotranspiration across various agro-climatic zones and cropping seasons. Journal of Hydrology, 620, p.129418. DOI: https://doi.org/10.1016/j.jhydrol.2023.129418 

6. Kumar, S., Chanda, K. and Pasupuleti, S., 2023. Association of tropical daily precipitation extremes with physical covariates in a changing climate. Stochastic Environmental Research and Risk Assessment, pp.1-19. DOI: https://doi.org/10.1007/s00477-023-02433-0 

7. Das, P. and Chanda, K., 2023. A Bayesian network approach for understanding the role of large-scale and local hydro-meteorological variables as drivers of basin-scale rainfall and streamflow. Stochastic Environmental Research and Risk Assessment, 37(4), pp.1535-1556. DOI: https://doi.org/10.1007/s00477-022-02356-2 

8. Das, P., Sachindra, D.A. and Chanda, K., 2022. Machine learning-based rainfall forecasting with multiple non-linear feature selection algorithms. Water Resources Management, 36(15), pp.6043-6071. DOI: https://doi.org/10.1007/s11269-022-03341-8  

9. Kumar, S., Chanda, K. and Pasupuleti, S., 2022. Pre-and post-1975 scaling relationships of monsoon and non-monsoon hourly precipitation extremes with coincident temperature across urban India. Journal of Hydrology, 612, p.128180. DOI: https://doi.org/10.1016/j.jhydrol.2022.128180 

10. Mahmoudi, P., Maity, R., Amir Jahanshahi, S.M. and Chanda, K., 2022. Changing spectral patterns of long‐term drought propensity in Iran through reliability–resilience–vulnerability‐based Drought Management Index. International Journal of Climatology, 42(8), pp.4147-4163. DOI:  https://doi.org/10.1002/joc.7454 

11. Dutta, R., Chanda, K. and Maity, R., 2022. Future of solar energy potential in a changing climate across the world: A CMIP6 multi-model ensemble analysis. Renewable Energy, 188, pp.819-829. DOI: https://doi.org/10.1016/j.renene.2022.02.023 

12. Maity R, Khan MI, Sarkar S, Dutta R, Maity SS, Pal M and Chanda K, (2021), Potential of Deep Learning in Drought Assessment by Extracting Information from Hydrometeorological Precursors, Journal of Water and Climate Change, IWA Publishing, DOI:  https://doi.org/10.2166/wcc.2021.062   

13. Das P and Chanda K, (2020). Bayesian Network based modeling of regional rainfall from multiple local meteorological drivers. Journal of Hydrology, Elsevier, 591, 125563, DOI: https://doi.org/10.1016/j.jhydrol.2020.125563 

14. Kumar S, Chanda K, Pasupuleti S, (2020), Spatio-temporal Analysis of Extreme Indices derived from Daily Precipitation and Temperature for Climate Change Detection over India, Theoretical and Applied Climatology, Springer, DOI: https://doi.org/10.1007/s00704-020-03088-5  

15. Maity R, Chanda K, Dutta R, Ratnam JV, Nonaka M, Behera SK, (2020), Contrasting features of hydroclimatic teleconnections and predictability of seasonal rainfall over east and west Japan, Meteorological Applications, Royal Meteorological Society, DOI:  https://doi.org/10.1002/met.1881 

16. Chanda K and Maity R, (2017), Assessment of Trend in Global Drought Propensity in the Twenty-First Century Using Drought Management Index, Water Resources Management, 31: 1209. DOI: https://doi.org/10.1007/s11269-017-1571-3 

17. Chanda K and Maity R (2016), Uncovering Global Climate Fields Causing Local Precipitation Extremes, Hydrological Sciences Journal, Taylor and Francis, DOI: 10.1080/02626667.2015.1006232. DOI:  https://doi.org/10.1080/02626667.2015.1006232 

18. Maity R, Aggrawal A and Chanda K, (2016), Do CMIP5 models hint at a warmer and wetter India in the twenty-first century?, Journal of Water and Climate Change, DOI: https://doi.org/10.2166/wcc.2015.126 

19. Chanda K and Maity R, (2015), Meteorological Drought Quantification with Standardized Precipitation Anomaly Index (SPAI) for the Regions with Strongly Seasonal and Periodic Precipitation, Journal of Hydrologic Engineering, ASCE, DOI: https://doi.org/10.1061/(ASCE)HE.1943-5584.0001236 

20. Chanda K, Maity R, Sharma A and Mehrotra R, (2014), Spatiotemporal variation of long-term drought propensity through reliability-resilience-vulnerability based Drought Management Index, Water Resources Research, AGU, 50(10), DOI:  https://doi.org/10.1002/2014WR015703 

21. Maity R, Sharma A, Nagesh Kumar D and Chanda K, (2013), Characterizing drought using the reliability-resilience-vulnerability concept, Journal of Hydrologic Engineering, ASCE 18(7), 859–869, DOI:10.1061/(ASCE)HE.1943-5584.0000639. DOI: https://doi.org/10.1061/(ASCE)HE.1943-5584.0000639 

Conferences (Recent)

1. Mandal N, Roshni T, and Chanda K, (2025), Performance of kernel-based and network-based machine learning models in comparison with temperature-based empirical models for estimation of evapotranspiration, HYDRO 2025, NIT Rourkela, India, 18-20 Dec 2025. 

2. Mandal, NS, Das, P, Mandal, N, and Chanda, K, (2025), December. Spatio-Temporal Trends of Heatwave Occurrences across India and Comparison of the Discomfort Indices at Heat Wave Hotspots.  HYDRO 2025' 30th International Conference.

3. Kumar, VP, Chanda, K, and Dutta, R, (2025), Development and progression of flash droughts across India using root zone soil moisture information from land surface model. HYDRO 2025, NIT Rourkela, India, 18-20 Dec 2025. 

4. Kumar P, and Chanda K, (2025), Causal discovery of the dependence process between large-scale teleconnection indices and monsoon rainfall in Sabri Basin in Lower Godavari, India, HYDRO 2025, NIT Rourkela, India, 18-20 Dec 2025. 

5. Deepankar U., Kumar, VP., Chanda, K., and Dutta, R. (2025), Comparison of Evaporative Stress and Soil Moisture Stress for historical droughts across India using multiple reanalysis and land surface model products. HYDRO 2025, NIT Rourkela, India, 18-20 Dec 2025.

6. Roy, A., Valsala, R., and Chanda, K., (2025), Numerical Modeling on the Transport of Benzene under Variable-density Flow, IGWC 2025, NIH Roorkee, India, 5 – 7 March 2025.

7. Roy, A., Valsala, R., Chanda, K., and Sarukkalige, R., (2025), Numerical Comparison of Benzene Biodegradation in Aerobic and Anaerobic Systems within a Variable-Density Unsaturated Zone, HWRS 2025, Canberra, Australia, 25 – 28 November 2025.

8. Das P, Mandal N, and Chanda K, (2025), Developing optimal GCM Ensembles of High-Resolution Precipitation Dataset through Bayesian Networks: A comparative U-Net Based Analysis, HYDRO 2025, NIT Rourkela, India, 18-20 Dec 2025. 

9. Mandal, N., Das, P., and Chanda, K, (2024). Performance of two-step technique for gap-filling and reconstruction of basin-scale Terrestrial Water Storage Anomalies (TWSA) , EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-18755 2024. DOI:  https://doi.org/10.5194/egusphere-egu24-18755 

10. Mandal, N.S., Kumar, S, Chanda, K, (2023) Urban Heat Islands (UHI) or Urban Cool Islands (UCI): Examining the Spatial Variation of Land Surface Temperature (LST) in the City of Bongaigaon, India, HYDRO 2023, NIT Warangal, India, 21-23 Dec 2023.

11. Mandal, N., Chanda, K, (2023). Comparison of Neural network based and Kernel based Machine Learning approaches for daily forecasting of reference evapotranspiration in data scarce regions, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-11950, DOI: https://doi.org/10.5194/egusphere-egu23-11950  

12. Das, P. and Chanda, K, (2023). Influence of large-scale climate modes and local hydrometeorological factors in predicting basin scale rainfall and streamflow: A Bayesian network approach, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23 3826, 2023. DOI: https://doi.org/10.5194/egusphere-egu23-3826 

Sponsored Research Projects (External Funded)

As Principal Investigator (PI)

• Assessment of basin scale terrestrial water balance closure and evaluation of its uncertainty,   Duration: 2023-2026, Sanctioning Authority: DST SERB (CRG scheme)

• Assessment of the Relationship between Global Climatic Precursors and Hydrological Extremes through Probabilistic Graphical Models, Duration: 2018-2022, Sanctioning Authority: DST SERB (ECR scheme)

• Potential of Artificial Intelligence Techniques in Prediction of Extreme Rainfall from General Circulation Model (GCM) outputs, Duration 2017-2019, Sanctioning Authority: TEQIP III GoI (MRP scheme)

As Co-PI 

• Concept of temporal networks in hydroclimatic modelling in a changing climate: Application to streamflow and drought, Duration: 2023-2026, Sanctioning Authority: MoES

• Spatio-temporal drought characterization and its future trend in Iran in a changing climate, Duration: 2018-2020, Sanctioning Authority:  DST (scheme:  India-Iran Bilateral Scientific and Technological Cooperation, India-Iran Joint Research Projects 2018)

• Scientific study on stability of proposed diversion of Bokkalavagu nallah over goaved out Longwall Panels of GDK-10 Incline on the surface and assessment of Impact of blasting in RG OCP-I on embankment of proposed divertion nallah and assessment of water danger to Adriyala Longwall Project, RG OCP-I Expansion, Duration: 2021 (6 months), Sanctioning Authority: Singareni Coalfields (SCCL), India

Consultancy Project

As CI

• A comprehensive run-off management study inside the Mining Lease areas of Bolani Ores Mines, RSP, M/s SAIL – awarded in 2023-24 (completed) – funded by RSP, SAIL 

• Checking the hydrological analysis in the design for construction of a new proposed RUB at Gaya bridge, Dhanbad near the existing RUB – awarded in 2022-23 (completed) - funded by Dhanbad Road Division

As Co-CI

• Scientific Study for diversion of Kumari Jore, Nagari Jore and Ekra Jore for the proposed Block-E OCP - awarded in 2025 (ongoing) - funded by BCCL 

• Mine-wise availability and potential of mine water for community use in BCCL - awarded in 2024 (completed) - funded by BCCL

• Third party evaluation of DPR for Water supply Project under Jharkhand Mineral Development Authority (JMADA) – awarded in 2018-19 (completed) – funded by JMADA

Membership of Scientific Societies

Indian Water Resources Society (IWRS) 

Other Academic and Administrative Activities

Reviewed research manuscripts for:

• Journal of Hydrology, ASCE-Journal of Hydrologic Engineering, Water Resources Research, Water Resources Management, Journal of Water and Climate Change, Stochastic Environmental Research and Risk Assessment, Current Science, Journal of Earth System Science etc. 

Department level Administrative Activity :

• Member of Departmental Post Graduate Committee (DPGC): 2020-2023 (3 years)

• Lab-in-charge (Hydrology /Water Resources): 3 years

 Institute level Administrative Activity :

• Faculty-in-charge (FIC) Academic (UG): Nov 2023 – Sep 2024

• Vice-chairperson, Career Development Centre (CDC): Oct 2021 – Oct 2023 (2 years)

• Chief Hostel Warden/ Warden: July 2018 – Jun 2021 (3 years)