Publication

Google Scholar: scholar.google.com/citations?user=QdYtAXwAAAAJ&hl=en 

Journals

1. Sanjit Kumar, B Kumar, V Deshpande, M Agarwal, Predicting flow velocity in a vegetative alluvial channel using standalone and hybrid machine learning techniques, Expert Systems with Applications Elsevier (2023). https://doi.org/10.1016/j.eswa.2023.120885

2. Sanjit Kumar, MK Goyal, V Deshpande, M Agarwal, Estimation of Time Dependent Scour Depth around Circular Bridge Piers: Application of Ensemble Machine Learning Methods, Ocean Engineering Elsevier (2023). https://doi.org/10.1016/j.oceaneng.2022.113611 

3. Sanjit Kumar, B Kirar, M Agarwal, V Deshpande, Application of novel hybrid machine learning techniques for particle Froude number estimation in sewer pipes, Natural Hazards Springer (2022). https://doi.org/10.1007/s11069-022-05786-x 

4. ML Pattanaik, Sanjit Kumar, R Choudhary, M Agarwal, B Kumar, Predicting the abrasion loss of open-graded friction course mixes with EAF steel slag aggregates using machine learning algorithms, Construction and Building Materials Elsevier (2022). https://doi.org/10.1016/j.conbuildmat.2022.126408 

Conferences

1. Sanjit Kumar, M Agarwal, V Deshpande, Estimation of particle Froude Number in Deposited Bed Condition using Hybrid Machine Learning Models, ADCIS 2023 - International Conference on Advances in Data-driven Computing and Intelligent (21-23 September 2023) BITS Pilani, K K Birla Goa Campus, India. https://doi.org/10.1007/978-981-99-9518-9_14 

2. Sanjit Kumar, M Agarwal, V Deshpande, Predict Total Sediment Load using Standalone and Ensemble Machine Learning Models, ADCIS 2023 - International Conference on Advances in Data-driven Computing and Intelligent (21-23 September 2023) BITS Pilani, K K Birla Goa Campus, India. https://doi.org/10.1007/978-981-99-9518-9_29 

3. Sanjit Kumar, M Agarwal, V Deshpande, Radial Basis Function Regression (RBFR), AR-RBFR models for estimation of Particle Froude Number in sewer pipes under deposited conditions, ISCON 2023 - International Conference on Information Systems and Computer Networks (03-04 March 2023) GLA University, Mathura, Uttar Pradesh. https://doi.org/10.1109/ISCON57294.2023.10112031 

4. Sanjit Kumar, M Agarwal, V Deshpande, MK Goyal, Estimation of time-dependent pier scour depth using Ensemble and Boosting based Data Driven Approaches, HYDRO 2021- International Conference (Hydraulics, Water Resources and Coastal Engineering)(23-25 December 2021) SVNIT Surat. https://doi.org/10.1007/978-981-99-1901-7_48 

Activity

Presentations

1. Sanjit Kumar, M Agarwal, V Deshpande, MK Goyal, Estimation of time-dependent pier scour depth using Ensemble based Data Driven Approaches, RSD 2022- Research Scholars' Day (23-24 March 2022) IIT Patna.

2. Sanjit Kumar, M Agarwal, V Deshpande, MK Goyal, A Comparison between ensemble learning and support vector machine applied as regressor on scour depth prediction, INDICON 2021- IEEE Indian Council Annual International Conference (19-21 December 2021) IIT Guwahati.

3. N Kumari, D Bhattacharya, Sanjit Kumar, Application of Machine learning Algorithm for Financial Trading (An empirical approach for financial time-series prediction), International Conference on Emergent Research in Mathematics and Engineering (ICERME-2019)(17-18 May 2019) NIT Agartala.

Workshops / Training

1. Attended workshop on Theory and Application of Machine Learning, IEEE (17 October 2020) IIT Patna.

2. Attended workshop on Artificial Intelligence (AI), AICTE Training And Learning (ATAL) Academy (22-26 February 2019) NIT Agartala.

3. Attended workshop on Designing Smart Cities Based on Internet of Things (IoT), Global Initiative for Academic Networks (GIAN) (11-15 December 2017) NIT Agartala.

4. Attended training on Computer Network (Hardware) at BIHAR STATE ELECTRONICS DEVELOPMENT CORPORATION LIMITED (A Govt. of Bihar).