Paras Jain

Paras JainDr. Paras Jain is holding the administrative position of Associate Dean Academics at VIT Bhopal University, India. He is an Associate Professor in the School of Computing Science & Engineering at the University. He was awarded with Ph.D in Computer Sience and Engineering from Jaypee University of Engineering & Technology (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 has more than 15 years of academic experience including 7.5 years post PhD experience. During his academic career, he has held various administrative positions such as School of Computing Sciences and Engineering (SCSE) Timetable Coordinator and member of NAAC and NBA accreditation committee, Examination coordination committee, Library Management Committee, Anti-ragging committee, etc. He has published several research papers in international journals and conferences of repute with eight SCI Indexed and four SCOPUS Indexed publications. He has two International level and two National level patents on his credits. He won the Best Paper Award for a research paper with title "An Adaptive Edge-preserving Image Denoising using Block-based Singular Value Decomposition in Wavelet Domain" presented in ICICT 2015. He has actively participated in various conferences, workshops and FDPs. Dr. Jain presently supervising one Ph.D student. Dr. Jain has also been a reviewer to various reputed International Conferences and Journals. His research interest includes Image Processing, Data Mining, Machine Learning, and Pattern recognition, with expertise in subjects like, Digital Image Processing, Theory of Computation, Compiler Design, Data Structures, Design and Analysis of Algorithms, Algorithm for Advanced Analytics, Social Network Analysis for Big Data etc. Read More Read Less

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A Study of Role of Socio Economic Trends in the Management of Quality Education Institutions (1st)42 %
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Design and Analysis of Algorithms13 % NR
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Exploring Artificial Intelligence: Fundamental Concepts
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