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New Paradigms in Computational Modeling and Its Applications

  • ID: 5180535
  • Book
  • January 2021
  • 232 Pages
  • Elsevier Science and Technology
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In general, every problem of science and engineering is governed by mathematical models. There is often a need to model, solve and interpret the problems one encounters in the world of practical problems. Models of practical application problems usually need to be handled by efficient computational models.

New Paradigms in Computational Modeling and Its Applications deals with recent developments in mathematical methods, including theoretical models as well as applied science and engineering. The book focuses on subjects that can benefit from mathematical methods with concepts of simulation, waves, dynamics, uncertainty, machine intelligence, and applied mathematics. The authors bring together leading-edge research on mathematics combining various fields of science and engineering. This perspective acknowledges the inherent characteristic of current research on mathematics operating in parallel over different subject fields.

New Paradigms in Computational Modeling and Its Applications meets the present and future needs for the interaction between various science and technology/engineering areas on the one hand and different branches of mathematics on the other. As such, the book contains 13 chapters covering various aspects of computational modeling from theoretical to application problems. The first six chapters address various problems of structural and fluid dynamics.

The next four chapters include solving problems where the governing parameters are uncertain regarding fuzzy, interval, and affine. The final three chapters will be devoted to the use of machine intelligence in artificial neural networks.

  • Presents a self-contained and up to date review of modelling real life scientific and engineering application problems
  • Introduces new concepts of various computing techniques to handle different engineering and science problems
  • Demonstrates the efficiency and power of the various algorithms and models in a simple and easy to follow style, including numerous examples to illustrate concepts and algorithms
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1. Nanostructural dynamics problems with complicating effects 2. Vibration of functionally graded piezoelectric material beams 3. Vibration of microstructural elements 4. Coupled shallow water wave equations 5. Natural convection in a nanofluid flow 6. Fractional fluid mechanics systems 7. Inverse problems in diffusion processes with uncertain parameters 8. Affine approach in solving linear structural dynamic problems with uncertain parameters 9. Numerical solution of Langevin stochastic differential equation with uncertain parameters 10. Fuzzy eigenvalue problems of structural dynamics using ANN 11. Artificial neural network approach for solving fractional order applied problems 12. Speech emotion recognition using deep learning 13. A user independent hand gesture recognition system using deep CNN feature fusion and machine learning technique 14. A survey on group modeling strategies for recommender systems 15. Extraction of glacial lakes in the Himalayan region using landsat imagery

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Chakraverty, Snehashish
Prof. S. Chakraverty has 30 years of experience as a researcher and teacher. Presently he is working in the Department of Mathematics (Applied Mathematics Group), National Institute of Technology Rourkela, Odisha, as Senior (Higher Administrative Grade) Professor. Prior to this, he was with CSIR-Central Building Research Institute, Roorkee, India. After completing Graduation from St. Columba's College (Ranchi University), his career started from the then University of Roorkee (currently Indian Institute of Technology Roorkee) and completed M. Sc. (Mathematics) and M. Phil. (Computer Applications) from there securing the first positions in the university. Dr. Chakraverty received his Ph.D. from IIT Roorkee in 1992. Thereafter, he completed his postdoctoral research at the Institute of Sound and Vibration Research (ISVR), University of Southampton, England and at the Faculty of Engineering and Computer Science, Concordia University, Canada. He was also a visiting professor at Concordia and McGill universities, Canada, during 1997-1999 and a visiting professor of the University of Johannesburg, South Africa, during 2011-2014. So far, he has authored/co-authored 21 books, published 374 research papers in journals and conferences; another book is in press and he is now writing two books. He is in the editorial boards of various international journals, book series and conferences. Prof. Chakraverty is the Chief Editor of International Journal of Fuzzy Computation and Modelling (IJFCM), Inderscience Publishers, Switzerland (http://www.inderscience.com/ijfcm), Associate Editor of the "Computational Methods in Structural Engineering” section of Frontiers in Built Environment and an editorial board member of Springer Nature Applied Sciences, IGI Research Insights Books, Springer Book Series of Modeling and Optimization in Science and Technologies, Coupled Systems Mechanics (Techno Press), Curved and Layered Structures (De Gruyter), Journal of Composites Science (MDPI), Engineering Research Express (IOP) and Applications and Applied Mathematics: An International Journal. He is also the reviewer of around 50 national and international journals of repute, and he was the president of the Section of Mathematical Sciences (including Statistics) of Indian Science Congress (2015-2016) and was the vice president of Orissa Mathematical Society (2011-2013). Prof. Chakraverty is a recipient of prestigious awards such as Indian National Science Academy (INSA) nomination under International Collaboration/Bilateral Exchange Program (with the Czech Republic), Platinum Jubilee ISCA Lecture Award (2014), CSIR Young Scientist Award (1997), BOYSCAST Fellow (DST), UCOST Young Scientist Award (2007, 2008), Golden Jubilee Director's Award (CBRI; 2001), INSA International Bilateral Exchange Award ([2010-11 (selected but could not undertake), 2015 (selected)], and Roorkee University gold medals (1987, 1988) for first positions in M.Sc. and M. Phil. (Comp. Appl.). He has so far guided 18 Ph.D. students and is guiding 9 students currently. Prof. Chakraverty has undertaken around 16 research projects as principle investigator funded by international and national agencies, with a total worth of about Rs.1.5 crores. A good number of international and national conferences, workshops, and training programs have also been organized by him. His present research area includes differential equations (ordinary, partial, and fractional), numerical analysis and computational methods, structural dynamics (FGM, Nano) and fluid dynamics, mathematical and uncertainty Modeling, soft computing and machine intelligence (artificial neural network, fuzzy, interval and affine computations).
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