New Paradigms in Computational Modeling and Its Applications

Dr. Snehashish Chakraverty is a Senior Professor in the Department of Mathematics (Applied Mathematics Group), National Institute of Technology Rourkela, with over 30 years of teaching and research experience. A gold medalist from the University of Roorkee (now IIT Roorkee), he earned his Ph.D. from IIT Roorkee and completed post-doctoral work at the University of Southampton (UK) and Concordia University (Canada). He has also served as a visiting professor in Canada and South Africa. Dr. Chakraverty has authored/edited 38 books and published over 495 research papers. His research spans differential equations (ordinary, partial, fractional), numerical and computational methods, structural and fluid dynamics, uncertainty modeling, and soft computing techniques. He has guided 27 Ph.D. scholars, with 10 currently under his supervision.He has led 16 funded research projects and hosted international researchers through prestigious fellowships. Recognized in the top 2% of scientists globally (Stanford-Elsevier list, 2020–2024), he has received numerous awards including the CSIR Young Scientist Award, BOYSCAST Fellowship, INSA Bilateral Exchange, and IOP Top Cited Paper Awards. He is Chief Editor of International Journal of Fuzzy Computation and Modelling and serves on several international editorial boards.

• 1. Nanostructural dynamics problems with complicating effects2. Vibration of functionally graded piezoelectric material beams3. Vibration of microstructural elements4. Coupled shallow water wave equations5. Natural convection in a nanofluid flow6. Fractional fluid mechanics systems7. Inverse problems in diffusion processes with uncertain parameters8. Affine approach in solving linear structural dynamic problems with uncertain parameters9. Numerical solution of Langevin stochastic differential equation with uncertain parameters10. Fuzzy eigenvalue problems of structural dynamics using ANN11. Artificial neural network approach for solving fractional order applied problems12. Speech emotion recognition using deep learning13. A user independent hand gesture recognition system using deep CNN feature fusion and machine learning technique14. A survey on group modeling strategies for recommender systems15. Extraction of glacial lakes in the Himalayan region using landsat imagery

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