Introduction : Hi I am Professor Nilesh Magar, Working in Dr. Vishwnath Karad MIT-WPU. I have done M.Sc.(CS) from Pune University and currently pursuing Ph.D in Computer Science under JJTU, Rajasthan.
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Training Program: 1) Attended Faculty Development Program on Bloom’s Taxonomy and CO PO Mapping 2) Attended Two Days State level Workshop on Big Data and Its Application organized by Department of Computer Science, MAEER’s Arts, Commerce and Science College, Pune conducted on 7th and 8th February, 2017. 3) Attended National Conference on Digital Image and Signal Processing organized under Quality Improvement Program University of Pune (Department of Computer Science, MAEER’s Arts, Commerce & Science College, and Pune) conducted on 19th and 20th Feb, 2016. 4) Attended National Conference on Digital Image and Signal Processing organized under Quality Improvement Program University of Pune Department of Computer Science, MAEER’s Arts, Commerce & Science College, and Pune) conducted on 12th and 13th Feb, 2015. 5) Attended Two Days State level Workshop on Writing Research Paper using LATEX organized under Quality Improvement Program University of Pune (Department of Mathem
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Books and Research Published Books Published 1) A Text-book on “Object Oriented software Engineering”, BCA(Sci) for Nirali Publications. 2) A Text-book on “Object Oriented software Engineering”, BBA(CA) for Nirali Publications. 3) A Text-book on “Web Page Designing”, HSC Vocational for Nirali Publications. 4) A Text-book on “Programming in Java-I”, B.Sc.(CS) Course for Nirali publication. 5) A Text-book on “Programming in Java-II”, B.Sc.(CS) Course for Nirali publication. 6) A Text-book on “Data mining and data warehousing”, MSc(CS) course for Vision publication. 7) A Text-book on “Principle of programming languages”, MSc(CS) course for Vision publication. 8) A Text-book on Software engineering using UML: MCA (Management) for Nirali publication. . Research Papers Published 1) P resented A Research paper in the form of Poster on the topic “ Comparative study Feature Extraction Techniques and classifiers for Handwritten Devnagari