Dr. Vijay Kumar Kalyani

Bio

Dr. Vijay Kumar Kalyani is currently serving as Professor of Practice at Dr. Vishwanath Karad MIT World Peace University, Pune. He is a distinguished mathematician and computational scientist with over 35 years of experience in teaching and research. He obtained his Ph.D. in Applied Mathematics from the Indian School of Mines (IIT), Dhanbad, in 1988. He also earned an M.Phil. with a Gold Medal and an M.Tech. by research in Computer Applications. His research focuses on Artificial Neural Networks, Physics-Informed Neural Networks, mathematical modelling, and seismic wave propagation. He has served in senior scientific positions at CSIR-CIMFR, Dhanbad, including Chief Scientist (Scientist-G). He has supervised Ph.D. and postgraduate theses and taught B.Tech. and M.Tech. students. He has published more than 25 research papers in SCI, Scopus, and international journals. His work includes numerical simulation, deep learning, and computational geophysics. He continues to contribute actively to advanced research and education in applied mathematics and neural networks.

Research Areas : Artificial Neural Networking, Physics-Informed Neural Network, Mathematical and Statistical Modelling, and Mathematical Seismology.

Research Publications

1. Optimization of a laboratory-scale froth flotation process using response surface methodology
V.K. Kalyani, Pallavika, T.G. Charan, S. Chaudhuri
Coal Preparation, Vol. 25, No. 3, pp. 141–153, 2005.

2. Effect of conditioning on the beneficiation of dilute coking coal fines by froth flotation
V.K. Kalyani, T. Gouri Charan
European Journal of Mineral Processing and Environmental Protection, Vol. 5, No. 1, 2005.

3. Study of a laboratory-scale froth flotation process using artificial neural networks
V.K. Kalyani, Pallavika, S. Chaudhuri, T.G. Charan, D.D. Haldar
Mineral Processing and Extractive Metallurgy Review, Vol. 29, No. 2, pp. 130–142, 2007.

4. Coal-fine beneficiation studies of a bench-scale water-only cyclone using artificial neural network
V.K. Kalyani, T.G. Charan, D.D. Haldar, A. Sinha, N. Suresh
International Journal of Coal Preparation and Utilization, Vol. 28, No. 2, pp. 94–114, 2008.

5. Finite difference modeling of seismic wave propagation in monoclinic media
V.K. Kalyani, A. Sinha, Pallavika, S.K. Chakraborty, N.C. Mahanti
Acta Geophysica, Vol. 56, No. 4, pp. 1074–1089, 2008.

6. Finite difference modelling of SH-wave propagation in multilayered porous crust
V.K. Kalyani, Pallavika, S.K. Chakraborty, A. Sinha
Journal of Indian Geophysical Union, Vol. 12, No. 4, pp. 165–172, 2008.

7. Application of central composite design with response surface methodology in beneficiation studies of coal fines using oleo-flotation process K.K. Sharma, V.K. Kalyani, T.G. Charan, A. Sinha International Journal of Coal Preparation and Utilization, Vol. 32, No. 5, pp. 225–237, 2012.

8. Finite-difference time-domain method for modelling seismic wave propagation in viscoelastic media
V.K. Kalyani, S.K. Chakraborty
Applied Mathematics and Computation, Vol. 237, pp. 133–145, 2014.

9. Improved collector for beneficiation of low-volatile medium ash clean coal fines by froth flotation
S. Chaudhuri, V.K. Kalyani, T.G. Charan, S. Kumari, A. Sinha
International Journal of Coal Preparation and Utilization, Vol. 34, No. 6, pp. 321–331, 2014.

10. Use of artificial neural network to evaluate oleo-flotation process to treat coal fines
T.G. Charan, V.K. Kalyani, K.K. Sharma, et al.
International Journal of Coal Preparation and Utilization, Vol. 34, No. 5, pp. 229–238, 2014.

11. Application of response surface methodology in effective recovery of settling pond coal fines by froth flotation
U.S. Chattopadhyay, V.K. Kalyani, R. Venugopal, T.G. Charan
International Journal of Coal Preparation and Utilization, Vol. 35, No. 4, pp. 206–215, 2015.

12. Prediction of wheat yield from pond ash amended field by artificial neural networks
R.C. Tripathi, V.K. Kalyani, L.C. Ram, S.K. Jha
Journal of Hazardous, Toxic, and Radioactive Waste, Vol. 19, No. 4, 2015.

13. Impact of plant nutrients on prediction of wheat crop yield using artificial neural networks
R.C. Tripathi, V.K. Kalyani, S.K. Jha, N.K. Srivastava, S.K. Thakur
Journal of Solid Waste Technology and Management, Vol. 45, No. 1, pp. 76–83, 2019.

14. Effects of artificial boundaries on SH-wave propagation in anisotropic liquid-filled porous medium
V.K. Naik, P. Malavadkar, S. Joshi
Journal of Indian Geophysical Union, Vol. 27, No. 2, pp. 96–108, 2023.

15. Physics-informed neural networks for dispersion studies of SH-waves in initially stressed sandy half-space
T.S. Veer, V.K. Kalyani, A. Akilbasha, P. Malavadkar
Acta Geophysica, Vol. 73, No. 6, pp. 5645–5659, 2025.

16. Impact of triangular irregularity on dispersion of SH-waves in monoclinic crustal layer
T.S. Veer, A. Akilbasha, V.K. Kalyani
Journal of Indian Geophysical Union, Vol. 29, No. 5, pp. 354–366, 2025.

17. Grid Search and LLM-assisted hybrid approach for hyperparameter optimization
N. Kalele, V.K. Kalyani
IEEE International Conference on Interdisciplinary Approaches, 2025.