Dr. Paras Jain
VIT Bhopal University
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Academic Career Length
14Years (2013-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
View All Publications27 July 2014 in Information Systems Frontiers
Journal Article
Paras JainVTVipin Tyagi
Vipin TyagiJournal Article
NGN. GANESH
N. GANESHParas JainACAmitava Choudhury
Amitava ChoudhuryPDPrasun Dutta
Prasun Dutta
KANAK KALITA
Paolo BarsocchiIn industrial piping systems, turbomachinery, heat exchangers etc., pipe bends are essential components. Computational fluid dynamics (CFD), which is frequently used to analyse the flow behaviour in such systems, provides extremely precise estimates but is computationally expensive. As a result, a computationally efficient method is developed in this paper by leveraging machine learning for such computationally expensive CFD problems. Random forest regression (RFR) is used as the machine learning algorithm in this work. Four different fluid flow characteristics (i.e., axial velocity, x-velocity, y-velocity and z-velocity) are studied in this work. The accuracy of the RFR models is assessed by using a number of statistical metrics such as mean-absolute error (MAE), mean-squared-error (MSE), root-mean-squared-error (RMSE), maximum error (Max.Error) and median error (Med.Error) etc. It is observed that the RFR models can produce considerable cost reductions in computing by surrogating the CFD model. Minor loss in estimation accuracy as compared to the CFD models is observed. While the magnitude of intricate flow characteristics such as the additional vortices are correctly predicted, some error in their location is observed.
1 July 2013 in IETE Journal of Education
Journal Article
Paras JainVTVipin Tyagi
Vipin TyagiImage restoration is the operation of taking a degraded image and estimating the clean image. Degradation in an image occurs primarily due to blur and noise. Restoration attempts to reconstruct or recover an image that has been degraded by using apriori knowledge of the degradation phenomenon. Thus restoration techniques are oriented toward modeling the degradation and applying the inverse process in order to recover the original image. This paper starts with basic model of image degradation/restoration process and proceeds towards enlisting commonly occurring blurs and noises. Thereafter, it reviews some spatial and frequency domain filters for restoration of noisy images.
1 January 2021 in Computer Modeling in Engineering & Sciences
Journal Article
NGN. Ganesh
N. Ganesh
URUvaraja Ragavendran
Uvaraja Ragavendran
KANAK KALITAParas JainXGXiao-Zhi Gao
Xiao-Zhi Gao
Optimizing the performance of composite structures is a real-world application with significant benefits. In this paper, a high-fidelity finite element method (FEM) is combined with the iterative improvement capability of metaheuristic optimization algorithms to obtain optimized composite plates. The FEM module comprises of ninenode isoparametric plate bending element in conjunction with the first-order shear deformation theory (FSDT). A recently proposed memetic version of particle swarm optimization called RPSOLC is modified in the current research to carry out multi-objective Pareto optimization. The performance of the MO-RPSOLC is found to be comparable with the NSGA-III. This work successfully highlights the use of FEM-MO-RPSOLC in obtaining highfidelity Pareto solutions considering simultaneous maximization of the fundamental frequency and frequency separation in laminated composites by optimizing the stacking sequence.
About Me
Dr. Paras Jain is an Associate Professor Grade 1 in the School of Computing Science Engineering and Artificial Intellignece (SCAI) at VIT Bhopal University, India. He is also heading the Office of Academics in the role of Associate Dean Academics. He was awarded with Ph.D in Computer Science and Engineering from Jaypee University of Engineering andTechnology (JUET), Guna in the year 2015. He completed his B.E and M.E. in Computer Science and Engineering from Rajiv Gandhi Prodyogiki Vishwavidyalaya (RGPV), Bhopal in the year 2005 and 2010, respectively. Dr. Jain carries more than 16 years of academic experience including 9 years of post PhD experience. During his academic career, he has held various administrative positions such as the School Timetable Coordinator, Examination coordinator, etc. Dr. Jain has authored 3 books with titles "Design and Analysis of Algorithms - Step by Step Tutorial", "The Python Coding Book" and "Exploring Artificial Intelligence - Fundamental Concepts". He has published several research papers in international journals and conferences of repute with 10 SCI/SCIE Indexed journals and 8 SCOPUS Indexed journal/conference publications. He has two International level and two National level patents on his credits. e is an active resercher in the fileds of Image Processing, Data Mining, Machine Learning, and Pattern recognition. His subject expertise includes Digital Image Processing, Theory of Computation, Compiler Design, Data Structures, etc.