Dr. Nilesh Manoharrao Shelke

Assistant Professor

  • Education   Ph.D. (CSE), M. Tech. (CSE), M. Phil. (CSE)
Dr. Nilesh Manoharrao Shelke

Nilesh Shelke is an Assistant Professor (Sr. Grade) in the Computer Science & Engineering Department of Symbiosis Institute of Technology, Nagpur. He has completed an M. Tech. in Computer Science and Engineering from RTM Nagpur University. He has an M. Phil in Computer Science and also acquired a Ph.D. degree in Computer Science & Engg from S.G.B. Amravati University, Amravati.
His topic was “Emotion Extraction from Natural Text” He is a Microsoft Certified Solution Developer and has more than 24 years of experience in imparting IT Training which includes learners from different streams, faculties, and Microsoft Certifications to corporate employees. He has published patents, copyrights, and sellable technical articles in renowned journals. He is also the reviewer of several journals His latest books published are: Introduction to Machine Learning and An Introduction to Artificial Intelligence & Machine Learning Both are available on Amazon and Flipkart.

NA

  • Specialization
    1. Natural Language Processing
  • Focus
    1. Emotion Extraction
    2. Sentiment Analysis
    3. Machine Learning
    4. Deep Learning

Journal Publications

No. Information
1 N. Shelke, et al., Development of a Temporal Analysis Model Augmented for Disease Progression Identification through Multiparametric Analysis, International Journal of Intelligent Systems and Applications in Engineering, 2024, Volume 12, Issue 2, Pages 620 – 634
2 . Shelke, et al., Security-aware analytical framework: A mathematical model and machine learning for dynamical system control in secure environments, Journal of Discrete Mathematical Sciences and Cryptography, 2024, Volume 27, Issue 2, Pages 715 – 727, DOI:10.47974/JDMSC-1922
3 N. Shelke et al., “Approaches for Harvesting on Emotion Extraction from Human Facial Expressions”, Indian Journal of Computer Science and Engineering (IJCSE), pp-921-944, ISSN- 2772-5286. Available at: http://www.ijcse.com/docs/INDJCSE21-12-04-159.pdf. Scopus Indexed.
4 N. Shelke, et al., Telco Customer Churn Prediction Using ML Models, International Journal of Intelligent Systems and Applications in Engineering, 2024, Volume 12, Issue 2, Pages 644 – 653
5 N. Shelke, et al., Advancements in Computing: Emerging Trends in Computational Science with Next-Generation Computing, International Journal of Intelligent Systems and Applications in Engineering, Volume 12, Issue 7s, Pages 546 – 559
6 N. Shelke, et al., Deep Learning-Based Rule-Based Feature Selection for Intrusion Detection in Industrial Internet of Things Networks, International Journal of Intelligent Systems and Applications in Engineering, 2023, Volume 11, Issue 10s, Pages 25 – 35
7 N. Shelke et al., “An Efficient Way of Text-Based Emotion Analysis from Social Media using LRA-DNN”, Neuroscience Informatics, Elsevier publications, Vol. 2, Issue 3, ISSN- 2772-5286, Science Direct Indexed Available at: https://www.sciencedirect.com/science/article/pii/S2772528622000103.
8 N. Shelke et al., “Optimization of Travelling Salesman Models for Religious Tourism in India”, Pacific Business Review International, Vol 15, Issue 4, Oct 2022,http://www.pbr.co.in/2022/October.aspx.
9 N. Shelke et al., “An Efficient Low Complexity Compression based Optimal Holomorphic Encryption For Secure Fiber Optic Communication”, Optik, Vol. 252., 2021. Elsevier publications, https://doi.org/10.1016/j.ijleo.2021.168545. SCI Indexed/SCIE/WOS/Scopus indexed
10 N. Shelke et al., “A Novel Approach to Classifying Breast Cancer Histopathology Biopsy Images Using Bilateral Knowledge Distillation and Label Smoothing Regularization”, Computational & Mathematical Methods in Medicine, 2021, https://www.hindawi.com/journals/cmmm/2021/4019358/ SCIE/Scopus Indexed. Hindawi publications.
11 N. Shelke et al., “Effect of Grid search and Hyper Parameter tuned pipeline with various Classifiers and PCA for Breast Cancer Detection”, Current Signal Transduction Therapy, ISSN- 1574-3624, Bentham Science Publishers. Scopus indexed.
12 Pelaez-Diaz, Vílchez-Vásquez, Nilesh Shelke, Sumitha Jagadibabu, Nilesh Shelke , Sumitha Jagadibabu , Jenifer Mahilraj, “Detection of Fungal Infections in Gloriosa Superba Plant Using the Convolution Neural Network Model”, Hindawi Volume 2022, Article ID 7413983, 10 pages, https://doi.org/10.1155/2022/7413983 Scopus indexed.
13 N. Shelke, et al., Examining the Ethics of Public Health Interventions: Balancing Individual Rights and Collective Well-being, South Eastern European Journal of Public Health, 2023, Volume 21, Pages 150 – 161
14 N. Shelke, et al., Occupational Health in the Digital Age: Implications for Remote Work Environments, South Eastern European Journal of Public Health, 2023, Volume 21, Pages 97 – 110
15 N. Shelke, et al., Radial basis function neural network-based algorithm unfolding for energy-aware resource allocation in wireless networks, Wireless Networks, 2023, DOI:10.1007/s11276-023-03540-0

Conferences

No. Information
1 N. Shelke, et al., An AI-based Approach to Train a Language Model on a Wide Range Corpus Using BERT, 2024 IEEE International Students' Conference on Electrical, Electronics and Computer Science, SCEECS 2024, 2024, DOI:10.1109/SCEECS61402.2024.10482037
2 N. Shelke, et al., ATS: Auto Text Summarization using Natural Language Processing, 2024 IEEE International Students' Conference on Electrical, Electronics and Computer Science, SCEECS 2024, 2024, DOI:10.1109/SCEECS61402.2024.10482227
3 N. Shelke, et al., A Comparative Study of Various Load Balancing Algorithm in Cloud Computing Environment, 2024 IEEE International Students' Conference on Electrical, Electronics and Computer Science, SCEECS 2024, 2024, DOI:10.1109/SCEECS61402.2024.10482016
4 N. Shelke, et al., Transforming Breast Cancer İmage Classification with Vision Transformers and LSTM İntegration, 2024 IEEE International Students' Conference on Electrical, Electronics and Computer Science, SCEECS 2024, 2024, DOI:10.1109/SCEECS61402.2024.10482221
5 N. Shelke, et al., A Recent Study of Security Techniques for IoT, 56th International Carnahan Conference on Security Technology, ICCST 2023, 2023, DOI:10.1109/ICCST59048.2023.10474278
6 N. Shelke, et al., A Survey on Green IoT and Its Opportunities for Future Directions, 2023 International Conference on Advanced Computing and Communication Technologies, ICACCTech 2023, 2023, Pages 329 – 334, DOI:10.1109/ICACCTech61146.2023.00060
7 N. Shelke, et al., A Review on Identification of Number Plate and Wrong Way Vehicles Detection, 2023 IEEE International Students' Conference on Electrical, Electronics and Computer Science, SCEECS 2023, 2023, DOI:10.1109/SCEECS57921.2023.10063054
SR.NO. Title Year & ISBN Remarks
1. Introduction to Machine Learning
Amazon Link
2020
ISBN-978-93-84336-63-9
Dasganu Publications

2. Introduction to Artificial Intelligence and Machine learning
Flipkart Link
2022
ISBN: 9789395405690
Alpha International Publication, Registered under the Ministry of SME

3. Knowledge Representation and Artificial Intelligence: ML, DL 2023
ISBN: 9789355744630
Walnut Publications

Sr. No. Inventors Patent Title Patent Type Patent Number Issue Date
1 N. K. Yadav, B. D. Kulkarni, R. B. Khomane Enantioselective resolution process for arylpropionic acid drugs from the racemic mixture US Patent US6093830A 25 July 2000
2 B. D. Kulkarni, R. B. Khomane, S. Sivasanker An improved process for the preparation of titanium silicalite-1 Indian Patent IN200001214-I1, IN242328-B 01-08-2010
3 N. K. Yadav, B. D. Kulkarni, R. B. Khomane An improved process for the preparation of catechol or hydroquinone or a mixture of catechol and hydroquinone in micellar/microemulsion media Indian Patent IN9801682-I1, IN215670-B 29-02-2008

Microsoft Certified Solution Developer (MCSD)