Prof. Parthajit Roy

Email: parthajit[at]civil[dot]nits[dot]ac[dot]in
Date of Joining: 16/03/1998







16th March 1998 – 25th June 2018 : Assistant Professor (Deptt of Civil Engg., NIT Silchar)

26th June 2018 – 5th July 2022      : Associate Professor (Deptt of Civil Engg., NIT Silchar)

6th July 2022 – Till Date                : Professor (Deptt. of Civil Engg., NIT Silchar)



  • Bachelor of Civil Engineering in 1990 from Regional Engineering College (REC) Silchar;
  • M.Tech in Water Resources Engineering in 2005 from IIT Kharagpur 
  • PhD in 2014 from NIT Silchar


Flood Flow Analysis and modelling, Local Scour around obstructions, Sediment Transport, River Mechanics


Born in Badarpur of Karimganj District under state of Assam in the year 1965. Completed 10th level in 1982 and 10+2 in 1984 from Karimganj district.   




1. Agarwal, S., Choudhury, P., Rpy, P., and Debbarma, N (2022). “Flood Modeling in River System Using Gamma Memory” Sustainable Water Resources Management, Springer Nature, pp 100-109


UG Level: Engineering Mechanics, Engineering Graphics, Strength of materials, Surveying, Structural Analysis-I, Fluid Mechanics, Hydraulics, Open Channel Flow, Hydraulic Structures, Irrigation Engineering, Hydraulics Lab, Solid Mechanics Lab, Engineering Mechanics Lab

PG Level: Open Channel Flow, Design of Hydraulic Structures, Project Appraisal and analysis.


ASCE, Institution of Engineers



Department Level: Member Secretary DPMC, Secretary DUPC, Coordinator WRE, Member DPPC, Member DUPC, Member Secretary DPC, FIC  (Advanced Computational Lab, Soild Mechanics Lab, Concrete Lab, Highway Lab, Fluid Mechanics Lab, Engineering Graphics Lab, Engineering Mechanics Lab)

Institute Level: Hostel Warden, FIC (NCC), Coordinator TEQIP, HoD (Civil Engineering)



18. Agarwal, S., Roy, P., Choudhury, P., and Debbarma, N. (2022). “Comparative Study on Stream Flow prediction using the GMNN and wavelet- based GMNN.” Journal of water and climate change, IWA,

17. Singh, U.K., and Roy, P. (2022). “Energy dissipation for supercritical flows by using screens with triangular shape openings.” ISH Journal of Hydraulic Engineering, Taylor and Francis, (Scopous)

16. Sarkar, P. P., Janardhan, P., and Roy, P. (2021), “A novel deep neural network model approach to predict Indian Ocean dipole and Equatorial Indian Ocean oscillation indices”, Dynamics of Atmospheres and Oceans, Elsevier BV, (SCIE)

15. Sarkar, P. P., Janardhan, P., and Roy, P. (2021), “Indian Ocean Dipole: Assessing its impacts on the Indian summer Monsoon Rainfall (ISMR) across North East India”, Mausam, 72(4), 821-834 (SCIE)

14. Sarkar, P.P.,Janardhan, P., and Roy, P. (2021). “Predictibility of El nino southern oscillation using artificial neural networks: A review”, Disaster Advances, 14 (1), pp. 64-80. (Scopous)

13. Tripura, J., Roy, P., and Barbhuiya, A.K. (2021). “Simultaneous streamflow forecasting based on hybridized neuro-fuzzy method for a river system.” Neural Computing and Applications, Springer, 33(8): 3221-3233, DOI: 10.1007/s00521-020-05194-x (Scopous)

12. Debbarma, S., Choudhury, P., Roy, P., and Agarwal, S. (2021). “Uncertainty Analysis of Regional Rainfall Frequency Estimates in Northeast India. “Civil Engineering Journal, CEJ Publishing, 7(11):1817-1835, DOI:10.28991/cej-2021-03091762 (Scopous)

11. Debbarma, S., Choudhury, P., and Roy, P. (2021) “Comparison of performance of multi criteria decision making ensemble-clustering algorithms in rainfall frequency analysis” Water Practice & Technology, IWA, 16(4) DOI:10.2166/wpt.2021.086 (Scopous)

10. Agarwal, S., Roy, P., Choudhury, P., and Debbarma, N. (2021). “Flood Forecasting and Flood Flow Modeling in a River System using ANN.” Water Practice and Technology, IWA, 16(4): 1194-1205 (Scopous)

9. Sarkar, P.P., Jonardhan, P., and Roy, P. (2020). “Prediction of sea surface temperatures using deep learning neural networks. “SN Applied Sciences., Springer, 2(1408), DOI: 10.1007/s42452-020-03239-3 (Scopous)

8. Debbarma, N., Choudhury, P., and Roy, P. (2019). “Identification of homogeneous rainfall regions using a genetic algorithm involving multi-criteria decision making techniques” Water Supply, IWA, 19(5): 1491-1499, (SCIE)

7. Das, U., Ghose, D.K., and Roy, P. (2019). “Modeling water table depth using adaptive Neuro-Fuzzy Inference System.” ISH Journal of Hydraulic Engineering., Taylor and Francis, 25(3): 291-297, (Scopous)

6. Debbarma, S., Choudhury, P., Roy, P., and Kumar, R. (2019). “Analysis of Precipitation Variability using Memory Based Artificial Neural Networks.”  International Journal of Applied Metaheuristic Computing, IGI Global, 10(1):29-42, DOI:10.4018/IJAMC.2019010102 (Scopous)

5. Das, U., Ghose, D.K., and Roy, P. (2018). “Modeling response of runoff and evapotranspiration for predicting water table depth in arid region using dynamic recurrent neural network.” Groundwater for Sustainable Development., Elsevier BV6(6), (Scopous)

4. Tripura, J., and Roy, P. (2018). “Application of RBFNNs Incorporating MIMO Processes for Simultaneous River Flow Forecasting. “Journal of Engineering and Technological Sciences, BIT, 50(3):434-449, DOI:10.5614/j.eng.technol.sci.2018.50.3.9 (Scopous)

3. Debbarma, S., Choudhury, P., Roy, P., and Debbarma, N. (2017). "Application of memory based artificial neural networks in downscaling precipitation: A case of Barak river basin." Sylwan Journal, PFSPaper ID: Gjwm4,161(6) (SCI)

2. Tripura, J., and Roy, P. (2017). “Flow forecasting in multiple sections of a river system. “KSCE Journal of Civil Engineering, KSCE, 21(2): 512-522,  DOI:10.1007/s12205-017-1514-9 (SCI)

1. Choudhury, P., and Roy, P. (2014). “Forecasting Concurrent Flows in a River System Using ANNs” Journal of Hydrologic Engineering, ASCE, 20(8) 06014012, DOI:10.1061/(ASCE)HE.1943-5584.0001107 (SCI)


9. Sarkar P. P., Janardhan P., and Roy P. (2021). “Analyzing the changing variations of Indian Ocean Dipole (IOD) – Indian summer monsoon rainfall (ISMR) relationship across North East India” International conference-ICRACE, 2021, NIT Silchar

8. Sarkar P. P., Janardhan P., and Roy P. (2019). “Applicability of a Long Short Term Memory deep learning network in sea surface temperature predictions” Proceedings of the Earth 1st International Conference on Water Security and Sustainability, San Luis Potosí, Mexiko, pp 28-30

7. Satischandra, Kh..,Roy, P., and Das, U. K. (2015). “Flood forecasting Using Artificial Neural Nerworks” Journal of Basic and Applied Engineering Research, 2(10), pp 902-904
6. Tripura, J and Roy, P. (2015). “Performance Comparison of RBFN and PRNN in River Flows Forecasting at multiple sections” International Conference of Recent Trends in Computing, Communication and Science, Jan 8 – 9, IIIT, Hinjawadi, Pune – 411057
5. Das, U. K., Roy, P., and Satischandra, Kh. (2015). “Determination of Well Efficiency using Artificial Neural Network” International Conference On Emerging Trends & Research in Engineering & Technology, pp 188-193
4. Das, U. K., Roy, P., and Satischandra, Kh. (2015). “Application of Artificial Neural Network in the estimation of Aquifer Loss Coefficient” 1st International Conference on Advanced Engineering and Technology for Sustainable Development(ICAETSD), Volume-1, pp 261-262.
3. Satischandra, Kh., Roy, P., and Das, U.K. (2015). “Flow Forecasting in a river system using Artificial Neural Network” 1st International Conference on Advanced Engineering and Technology for Sustainable Development(ICAETSD), Volume-1, pp 167-170
2. Roy, P., Choudhury, P., and Saharia, M. (2011). “River Reaches Flood Flow Prediction using TLRN models” 4th ASCE-EWRI International Perspective on Water Resources & the Environment, National University of Singapore, 2011, Jan 4 – 6
1. Roy, P., Choudhury, P., and Saharia, M. (2010). “Dynamic ANN modeling for Flood Forecasting in a river network” International Conference on Modeling, Optimization and Computing, Vol. 1298, pp 219-255 DOI:10.1063/1.3516305




  • Completed: 04

4. Partha Pratim Sarkar (2022).”Assessment of Impact of Indian Ocean Dipole and Equatorial Indian Ocean Oscillation on the Indian Summer Monsoon Rainfall.” 

3. Umesh Kumar Das (2019). “Effects of Hydrologic Parameters on Groundwater: A Case Study” 

2. Joseph Tripura        (2018). “Data Driven Models for Real Time Flow Forecasting in River System” 

1. Shyama Debbarma (2017). “A Study on the Effects of Climate Change in Barak River Basin” 

  • Ongoing: 04

M.TECH. SCHOLARS (Last three years)

5. Devanka Nath (2021) – “Simulation of Rainfall-Runoff potential using HEC HMS”

4. Abhisek Patil (2020) – “Flood inundation mapping using HECRAS and ARCGIS”

3. Rupam Gyan (2020) – “One dimensional steady flow hydraulic model for flood inundation mapping”

2. Nasim Akhtar (2019) – “Flow Over Sharp Crested Plan View Circular Arc From Weir”

1. Subhankar Das (2019) – “Discharge Characteristic of Multi-Cycle Triangular Labyrinth Weir”