Dr. Dillip Kumar Ghose

 

Dillip

Associate Professor

Department of Civil Engineering

NIT Silchar

Email id-dillip@civil.nits.ac.in

Mobile-+91-8135979813

 ACADEMIC / INDUSTRIAL EXPERIENCE (Details)

  • 9 years – Pre Ph.D.  Experience
  • 9 years –Post Ph.D.  Experience
  • 2 years – Industrial Experience

ACADEMIC QUALIFICATIONS (FULL DETAILS )

  • Ph. D. (BPUT) , Rourkela, Odisha; M.Tech (UCE, Burla, BPUT, Odisha); B.Tech (IGIT, Sarang, Odisha)

AREA OF INTEREST AND SPECIALIZATION (INCLUDING RESEARCH AREA)

Hydrology : Advances in hydrology include: Application of Artificial Intelligence and Geospatial Technology to solve the issues regarding Flood control, Ground water and Surface Water management via development of spatial data infrastructure.

 

SHORT BIOGRAPHICAL SKETCH

PATENT(S)

1. Patent 1 Indian(Granted) AN INTELLIGENT AND A SELF-LEARNING FLUID DETECTION APPARATUS AND METHOD THEREOF.
 2. Patent 2 Indian (Granted) Method and systems for warning user regarding a water flooding type disaster Apparatus and method to protect a predetermined area from flood water. Application no.20183102957Application no-202031015430 A 2020 (Published)

3.Patent 3 Indian (Published)

EDITORSHIP

BOOKS / BOOK CHAPTERS

1. D K Ghose, S samantaray.Integrated Sensor networking for estimating ground water potential in scanty rainfall region: challenges and evaluation,Studies in Computational Intelligence, Springer, 2017.

2. D K Ghose, S samantaray.Sedimentation process and its assessment through integrated sensor networks and machine learning process, Studies in Computational Intelligence, Springer, 2017.

3.Modelling runoff in a river basin, India: An integration for developing un-gauged catchment” (Willey)

4.Prediction of Sedimentation in an Arid Watershed Using BPNN and ANFIS 

 

SUBJECTS TAUGHT (INCLUDING SUBJECTS CURRENTLY TEACHING)

Hydrology, Irrigation engineering, Design of hydraulic structures, Watershed management, Application of soft computing techniques in water resources engineering.

MEMBER

  • ISTE-LM122483
  • IEI-M-1619475
  • EWRA-15102301
  • IWRS-LM-2018-7783

AWARDS & RECOGNITIONS

  • NRTS
  • NTSE
  • National scholarship
  • GATE

 

ADMINISTRATIVE RESPONSIBILITY

  • ICIIS

MANUSCRIPT REVIEWED FROM

JOURNALS

1. Dillip K Ghose, S Panda, P C Swain “ Prediction of water table depth in western region, Orissa using BPNN and RBFN neural networks”. Journal of hydrology, Elsevier, 394 (3),2010, 296- 304 2. Dillip K Ghose, S Panda, P C Swain “Sedimentation load analysis using ANN and GA”. Applied Mechanics and Materials. Trans Tech Publications, 110, 2012, 2693-2698. 3. Dillip K Ghose, S Panda, P C Swain “Prediction and optimization of runoff via ANFIS and GA” Alexandria Engineering Journal. Else

2. Dillip K Ghose, S Panda, P C Swain “Sedimentation load analysis using ANN and GA”. Applied Mechanics and Materials. Trans Tech Publications, 110, 2012, 2693-2698.
3. Dillip K Ghose, S Panda, P C Swain “Prediction and optimization of runoff via ANFIS and GA” Alexandria Engineering Journal. Elsevier, 52 (2), 2013, 209- 220.
4. Dillip K Ghose “Sediment yield prediction using neural networks at a watershed in south east India. ISH Journal of Hydraulic Engineering. Taylor & Francis, 24(2), pp.230-238.DOI:
5. U Das, P J Roy, D K Ghose “Modeling Water Table Depth using Adaptive Neuro-Fuzzy”. ISH Journal of Hydraulic Engineering. Taylor & Francis,25(3), pp.291-297. DOI:
6. DillipGhose, Umesh Das, Parthajit Roy. “Modeling response of runoff and evapotranspirati on for predicting water table depth in arid region using dynamic recurrent neural network”
7. Dillip K Ghose, PriyaMandal, SandeepSamantaray. Experimental Study of Hydraulic Jumps in an Inclined Rectangular Flume. “Pertanika Journal of Science & Technology” vol.27, no.1, Jan 2019
8. SandeepSamantaray, Dillip K Ghose. Modelling runoff in a river basin, India: An integration for developing un-gauged catchment. International journal of hydrology science and technology (IJHST) Inderscience, 10 (3), 248-266.
9. SandeepSamantaray, AbinashSahoo, “Assessment of runoff via precipitation using neural networks: Watershed modelling for developing environment in arid region Dillip K Ghose. Journal of Science & Technology
10. SandeepSamantaray, Dillip K Ghose” Sediment assessment for a watershed in arid region via neural networks” Sadhana Springer,44(10), p.219.
11. SandeepSamantaray, Dillip K Ghose.” Assessment of Suspended Sediment Load with Neural Networks in Arid Watershed. Journal of The Institution of Engineers (India): Series A Springer, 101(2):371–380
12. SandeepSamantaray, AbinashSaho, Dillip K Ghose.” Assessment of Sediment Load Concentration Using SVM, SVM-FFA and PSR-SVM-FFA in Arid Watershed, India: A Case Study. KSCE Journal of Civil Engineering24(6):1944-1957.DOI 10.1007/s12205-020-1889-x
13. SandeepSamantaray, Dillip K Ghose.” Modelling Runoff in an Arid Watershed through Integrated Support Vector Machine.” H2Open journal. IWA Publication
14. AbinashSaho, SandeepSamantaray, Dillip K Ghose “Prediction of flood in Barak River using hybrid machine leaning approaches: A case study.Journal of the Geological Society of India
15.Abinash Sahoo, Dillip Kumar Ghose Flood frequency analysis for menace Gauing stations, Mahanadi river basin India.
16.Kalyan AVS, Ghose D.K. Rathiswamy M. Multiscale temperoanalysis of extreme events In Gomati river basin India.
17. Erosion and sediment characteristics of peninsular river India—A case study DK Ghose, PC Swain
18. Ghose, D.K., Mandal, P. and Samantaray, S., 2019. Experimental Study of Hydraulic Jumps in an Inclined Rectangular Flume. Pertanika Journal of Science &Technolgy 27 (1): 397, 407. Das, U.K., Roy, P. and Ghose, D.K., 2019. Modeling water table depth using adaptive Neuro-Fuzzy Inference System. ISH Journal of Hydraulic Engineering, 25(3), pp.291-297.https://doi.org/10.1080/09715010.2017.1420497 Samantaray, S., Sahoo, A. and Ghose, D.K., 2019. Assessment of runoff via precipitation using neural net

 


CONFERENCES

  1. Samantaray, S., Sahoo, A. and Ghose, D.K. , (2020), Prediction of Sedimentation in an Arid Watershed Using BPNN and ANFIS. In ICT Analysis and Applications , ICT Analysis and Applications Proceedings of ICT4SD 2019, (), 295-302
  2. Samantaray, S., Sahoo, A. and Ghose, D.K., 2020.. In (pp.). Springer, Singapore, (2020), Infiltration Loss Affects Toward Groundwater Fluctuation Through CANFIS in Arid Watershed: A Case Study, In Smart Intelligent Computing and Applications, Smart Intelligent Computing and Applications(), 781-789
  3. Sahoo, A., Samantaray, S., Bankuru, S. and Ghose, D.K., (2020), Prediction of Flood Using Adaptive Neuro-Fuzzy Inference Systems: A Case Study, In Smart Intelligent Computing and Applications, (), 733-739
  4. Samantaray, S., Tripathy, O., Sahoo, A. and Ghose, D.K., (2020), Rainfall Forecasting Through ANN and SVM in Bolangir Watershed, India, In Smart Intelligent Computing and Applications, (), 767-774
  5. Ghose, D.K., (2019), Modeling Runoff Using Feed Forward-Back Propagation and Layer Recurrent Neural Networks, In Proceedings of the 2nd International Conference on Data Engineering and Communication Technology, (), 75-85
  6. Ghose, D.K. and Samantaray, S., (2019), Estimating runoff using feed-forward neural networks in scarce rainfall region, In Smart Intelligent Computing and Applications , (), 53-64
  7. Ghose, D.K. and Samantaray, S. , (2019), Integrated sensor networking for estimating ground water potential in scanty rainfall region: challenges and evaluation, In Computational Intelligence in Sensor Networks, (), 335-352
  8. Ghose, D.K. and Samantaray, S., (2019), Sedimentation process and its assessment through integrated sensor networks and machine learning process, In Computational intelligence in sensor networks, (), 473-488
  9. Samantaray, S. and Ghose, D.K., (2019), Dynamic Modelling of Runoff in a Watershed Using Artificial Neural Network, In Smart Intelligent Computing and Applications , (), 561-568
  10. Samantaray, S., Sahoo, A. and Ghose, D.K., (2019), Assessment of Groundwater Potential Using Neural Network: A Case Study, International Conference on Intelligent Computing and Communication, (), 655-664
  11. Sahoo, A., Samantaray, S. and Ghose, D.K., 2019. . , 157, pp., (2019), Stream Flow Forecasting in Mahanadi River Basin using Artificial Neural Networks, 4th International Conference on Computer Science and Computational Intelligence 2019 (ICCSCI), , (), 168-174
  12. Das, U.K., Samantaray, S., Ghose, D.K. and Roy, P., (), Estimation of aquifer potential using BPNN, RBFN, RNN, and ANFIS, In Smart Intelligent Computing and Applications , (), 569-576

 

WORKSHOPS ATTENDED

WORKSHOP / CONFERENCE ORGANIZED

 PHD SCHOLARS

1. Umesh Kumar Das (Awarded)

2. Sandeep Samantaray (Awarded)

3. Abinash Sahoo (Synopsis completed)

4. Sridharam Sriharsha (Ongoing)

5. Bibhu Prasad Mishra ( Ongoing Collaborative)

 

M.TECH. SCHOLARS

11 scholars awarded.