Prof. Chintakindi Sanjay

J.B. Educational Society, India

Director, Strategic Planning and Advancement

Email: [email protected]

Qualifications

2004 Ph.D, Manufacturing Engineering, AICTE, India

1989 M.D., Manufacturing Engineering, Pune University, India

1997 B.A., CAD/CAM & Automation, Pune University, India

Publications (Selected)

1. Al-Tamimi, A. A., & Sanjay, C. (2023). Intelligent Systems to Optimize and Predict Machining Performance of Inconel 825 Alloy. Metals, 13(2), Article 375.
2. Saxena, G., Kumar, S., Chintakindi, S., et al. (2023). Metasurface Instrumented High Gain and Low RCS X-Band Circularly Polarized MIMO Antenna for IoT Over Satellite Application. IEEE Transactions on Instrumentation and Measurement, 72, Article 5503210.
3. Saxena, G., Chintakindi, S., Kasim, M. A., et al. (2022). Metasurface inspired wideband high isolation THz MIMO antenna for nano communication including 6G applications and liquid sensors. Nano Communication Networks, 34, Article 100421.
4. Chintakindi, S., Alsamhan, A., Abidi, M. H., et al. (2022). Annealing of Monel 400 Alloy Using Principal Component Analysis, Hyper-parameter Optimization, Machine Learning Techniques, and Multi-objective Particle Swarm Optimization. International Journal of Computational Intelligence Systems, 15(1), Article 18.
5. Sanjay, C., Alsamhan, A., & Abidi, M. H. (2022). Multi response optimization of machining parameters for an annealed Monel K 500 alloy in drilling using Machine learning techniques and ANN. Journal of Intelligent & Fuzzy Systems, 42(6), 5605–5625.
6. Kumar, A. N., Sanjay, C., & Chakravarthy, M. (2021). RETRACTED: Fuzzy inference system-based solution to locate the cross-country faults in parallel transmission line (Retracted Article). International Journal of Electrical Engineering Education, 58(1), 83–96.
7. Kumar, A. N., Sanjay, C., & Chakravarthy, M. (2020). Mamdani Fuzzy Expert System Based Directional Relaying Approach for Six-Phase Transmission Line. International Journal of Interactive Multimedia and Artificial Intelligence, 6(1), 41–50.
8. Tarle, B., Chintakindi, S., & Jena, S. (2020). Integrating multiple methods to enhance medical data classification. Evolving Systems, 11(1), 133–142.
9. Kumar, A. N., Sanjay, C., & Chakravarthy, M. (2020). A single-end directional relaying scheme for double-circuit transmission line using fuzzy expert system. Complex & Intelligent Systems, 6(2), 335–346.
10. Ch.Sanjay, Ch Prithvi, “Experimental Investigations & Predictive Modeling of Tool Wear in drilling by Regression Analysis & Neural Network”- Journal of Industrial Engineering International, Springer Publisher, JIEI-D-00049 (Submitted in December, 2014, Accepted for Publication in October 2017).
11. Ch.Sanjay, Ch Prithvi, “Predication of surface Roughness in drilling by artificial Intelligence Methods” (Submitted in March, 2017).
12. Ch.Sanjay, “Statistical Analysis And Neural Network Approach of Tool Wear in Drilling”, International Journal of Mechanical Sciences, Elsevier Publisher (Submitted march 2017).
13. Ch.Sanjay, Ch Prithvi “Diagnosis of drill wear by Regression, Inverse coefficient matrix method & Neural networks”, Journal of Materials Processing Technology, Elsevier Publisher (Submitted in August, 2017).
14. N. Pankaj, Ch. Sanjay, “Performance requirement analysis and evaluation model of web applications”, International Journal of Science, Engineering and Technology.
15. N. Anupama, Ch.Sanjay, “Survey on Key Agreement Schemes in Wireless Body Area Networks”, International Journal of Science, Engineering and Technology.
16. Ch.Sanjay, Ch.Prithvi, “Anfis & Neuro Fuzzy approach for prediction of surface roughness in drilling”, International Journal of Advance Manufacturing Technology, May, 2014.
17. Ch.Sanjay, “Hybrid Intelligence System and ANN Approach for Modeling of Surface Roughness in drilling”, Journal of Cogent Engineering, Taylor & Francis COGENTENG 14 - 52R1.
18. Smita Chormunge, Ch.Sanjay, “Performance Evaluation of Clustering Methods for Low and High Dimensional Data”, International Journal of Advance Research in Computer Science (IJARCS), Vol. 5, Issue No. 1, pp. 91- 95, April, 2014 (ISSN No 0976-5697).