Dr. Pravin Shrinath

PhD Scholars:

Completed (3):

1. Varsha Khandekar (October 2024)

                Title of the thesis: Distributed Ensemble Model for Pattern Classification of Imbalanced Data

2. Prashant Udawant (December 2023)

               Title of the thesis: Cotton Plant Disease Identification using Image Segmentation and Machine Learning

3. Anshul Gupta (October 2023)

              Title of the thesis: Graph Based Recommender System Using Link Prediction

Pursuing (4):

1. Deepa Krishnan (Title: Botnet Detection in IoT)
2. Ruchi Sharma (Title: Opinion Mining of Unstructured Data using Machine Learning)
3. Krishna Palod

(Co-guide – Title: Impact of Higher Order Thinking and Learning Styles on Programming Competency and Employability – An Empirical Study Based Research)

4. Swarnalata B. (Research Domain : Image processing and Machine Learning)

NMIMS Research Incentives:

1. Received research incentives for the publication of paper in high impact factor journal in 2024.

Membership:

1. Lifetime Member, Indian Society for Technical Education (ISTE).

 International Certification:

 SAS global Certification (Base SAS)

Publications

Journals Publications:

1. D Krishanan, Pravin Shrinath, “Robust Botnet Detection Approach for Known and Unknown Attacks in IoT Networks Using Stacked Multi-classifier and Adaptive Thresholding”, Arabian Journal for Science and Engineering, 1-17, 2024. (Scopus, Web of Science, IF 2.6) https://link.springer.com/article/10.1007/s13369-024-08742-y
2. Deepa Krishnan, Pravin Shrinath, “Robust IoT Botnet Detection Framework Resilient to Gradient Based Adversarial Attacks”, SN Computer Science, 5 (7), 870, ISSN: 2662-995X, 2024. (Scopus)   https://link.springer.com/article/10.1007/s42979-024-03242-0
3. Ruchi Sharma, Pravin Shrinath, “Ensemble of Weighted Code Mixed Feature Engineering and Machine Learning-Based Multiclass Classification for Enhanced Opinion Mining on Unstructured Data”, International Journal of Advanced Computer Science and Applications, Vol. 15, No. 10, (Scopus)

Ensemble of Weighted Code Mixed Feature Engineering and Machine Learning-Based Multiclass Classification for Enhanced Opinion Mining on Unstructured Data

4. R Sharma, Pravin Shrinath, “Improved Opinion Mining for Unstructured Data Using Machine Learning Enabling Business Intelligence”, Journal of Advances in Information Technology, 14 (4), (Scopus and Web of Science)

https://www.jait.us/uploadfile/2023/JAIT-V14N4-821.pdf

5. Varsha S Khandekar, Pravin Shrinath, “Ensemble Model for Multiclass Imbalanced Data Using Cluster Computing of Spark”, Ingénierie des Systèmes d’Information, pp. 161-167, Vol. 28, No. 1, 2023. (Scopus) Ensemble Model for Multiclass Imbalanced Data Using Cluster Computing of Spark | IIETA
6. Anshul Gupta, Pravin Shrinath, “A novel recommendation system comprising WNMF with graph – based static and temporal similarity estimators”, International Journal of Data Science and Analytics, pages 27-41, Volume 16, 2022. (Scopus, Web of Science, IF 3.4) https://link.springer.com/article/10.1007/s41060-022-00355-8
7. Anshul Gupta, Pravin Shrinath, “A recommender system based on collaborative filtering, graph theory using HMM based similarity measures”, International Journal of System Assurance Engineering and Management, 533-545, 13(1), Springer Nature, 2022. (Scopus)

https://link.springer.com/article/10.1007/s13198-021-01537-6,

8. Prashant Udawant, Pravin Shrinath, “Cotton leaf disease detection using instance segmentation”, Journal of Cases on Information Technology (JCIT), pages 1-10, 24(4), IGI Global, (Scopus, Web of Science)

https://www.igi-global.com/gateway/article/full-text-pdf/296721&riu=true

9. Varsha Sachin Khandekar, Pravin Shrinath, “Hybrid dynamic chunk ensemble model for multi-class data streams”, Indonesian Journal of Electrical Engineering and Computer Science, pp 1115-1122, 25(2), 2022. (Scopus)

Hybrid dynamic chunk ensemble model for multi-class data streams | Khandekar | Indonesian Journal of Electrical Engineering and Computer Science

10. Prashant Udawant, Pravin Shrinath, “Diseased portion classification & recognition of cotton plants using convolution neural networks”, International Journal of Engineering and Advanced Technology, pp 3492-3496, Vol 8, Issue 6, (Scopus)

https://www.ijeat.org/wp-content/uploads/papers/v8i6/F9526088619.pdf

 Conferences:

1. Anshul Gupta, Pravin Shrinath, “Link Prediction based on bipartite graph for recommendation system using optimized SVD++”, International Conference on Machine Learning and Data Engineering, Procedia Computer Science, 1353-1365, Vol. 218, 2023, Elsevier, (Scopus).
2. Prashant Udawant, Pravin Shrinath, “Leaf Diagnosis Using Transfer Learning”, pp 235-246 Applied Information Processing Systems: Proceedings of ICCET 2021, Springer Singapore, 2022. https://link.springer.com/chapter/10.1007/978-981-16-2008-9_22
3. Varsha S Khandekar, Pravin Shrinath, “Non-stationary data stream analysis: State-of-the-art challenges and solutions”, Proceeding of International Conference on Computational Science and Applications: ICCSA 2019, 67-80, Springer Singapore, 2020.
4. S Ruchi, Pravin Shrinath, “Big Data Platform for Enterprise project management digitization using Machine learning”, Second International Conference on Electronics, Communication and Aerospace Technology (ICECA), 1479-1484, IEEE, 2018.