Jyoti Pruthi

About

I am currently working as an Assistant Professor in the Department of Computer Science & Engineering at the School of Engineering & Technology, Sharda University. I have done Mtech in Computer Science and Engineering from UIET Maharishi Dayanand University, Rohtak, and BTech from vaish college of engineering, Rohtak. I am also pursuing my Ph.D. in Computer Science and Engineering. Specialized in teaching programming languages like C, C++, Java, Python, Kotlin, TOC, Compiler Design, and Android Application development. I have also published and presented 7 research papers in journals and conferences. I am gate qualified three times(2014,2015,2016) and UGC net qualified two times(2017,2018).

Experience

• 11 years in Teaching and 6 months in Industry

Qualification

• B.E, M.tech,PhD Pursuing

Award & Recognition

• “Resnet Fusion Model for Multi-Class Classification of Chest X-Rays” in Com-IT-Con – 2022 .
• Optical transport network and its application” in International Conference on Advances in Applied Sciences, Engineering and Technology (AASET-2017) at K.R Mangalam University, Gurugram, August 17-18, 2017.
• “Image segmentation techniques of image processing –a survey” in International Journal of Multidisciplinary Research &Innovation (IJMRI) (ISSN No. 2454-7204) December 2015.
• Heart disease prediction using naïve bayes classification in data mining” in  International Journal for Scientific Research & Development, volume 2, Issue 3, July 2014.
• Naïve Bayes Classification: A Survey” in International Journal for Scientific Research & Development, volume 2, Issue 4, June 2014.
• Cooperative Checkpointing in Grid Computing” in International Conference on Emerging Trends in Engineering & Management (ICETEM-2012) at Satpriya Group Of institution, Rohtak.
• Fault Tolerance in Grid Computing: A Survey” in National conference Advances in Computing Communication Networks and Electrical Systems (NCACCNES-2012) at University Institute of Engineering & Technology, Rohtak.

Research

• Certified Coursera with the course: Programming for Everybody (Getting Started with Python) in year 2020.
• Certified Coursera with the course: Python Data Structures in year 2020.
• Certified MTA with the course: Database Management System in year 2016.
• Certified Microsoft Office Specialist: Qualified MOS Certification exam with 76.4% marks in year 2014.

Area of Interest

• Machine Learning, Spatial Data Analysis