Ms. Priyanka Rawat is a highly motivated individual with a strong academic background in Computer Science Engineering. Her journey in academia began with a Bachelor’s degree (B.Tech) in Computer Science & Engineering from MDU, Rohtak where she laid a solid foundation in core computer science principles. Building upon this, she pursued a Master’s degree (M.Tech) in Information Technology from YMCA University, Faridabad where she delving deeper into specialized areas within the field.
In her pursuit of knowledge and academic excellence, Ms. Priyanka Rawat has chosen to embark on a Ph.D. journey. Her research interests lie in Artificial Intelligence, where she aim to contribute to the advancement of computer science through innovative research and scholarly contributions.
She has more than 4.5 years of teaching experience in the field of Computer Science. Her area of interest are Artificial Intelligence & Image Processing.
“SURVEY ON IMAGE PROCESSING TECHNIQUES” in International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp525-529, April-2019)
Priyanka Rawat, Shilpa Sethi, “Retrieval of Images Using Data Mining Techniques“, International Journal of Computer Sciences and Engineering, Vol.6, Issue.12, pp.272-276, 2018.
“SURVEY ON IMAGE PROCESSING AND IMAGE SEGMENTATION”, International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp302-307, April-2019, Available at : http://www.jetir.org/papers/JETIR1904H54.pdf
Priyanka Rawat, “Brain Tumor Detection Using Image Processing,” International Journal of Computer Trends and Technology, vol. 68, no. 4, pp. 159-164, 2020. Crossref, https://doi.org/10.14445/22312803/IJCTT-V68I4P126
RESEARCH ON TEXT IDENTIFICATION, EXTRACTION AND RECOGNITION FROM NATURAL IMAGES in “JUNI KHYAT”.
SURVEY ON TEXT IDENTIFY, EXTRACTION AND RECOGNITION FROM NATURAL IMAGES in “International Journal of creative Research Thoughts”.
5 Days FDP on “Malware Data Science with Deep Learning” from 25/10/2021 to 29/10/2021 organized by AICTE Training And Learning (ATAL).
5 Days FDP on “”Recent Trends and Challenges in Image Processing and Computer Vision” from 29/11/2021 to 03/12/2021 at University School of Information and Communication Technology, Guru Gobind Singh IP University organized by AICTE Training And Learning (ATAL).
5 Days FDP on “Computer Vision & Image Processing” from 30/05/2022 to 03/06/2022 at J.C. Bose University of Science & Technology, YMCA.
5 Days FDP on “Recent Trends & Advances in Machine Learning” conducted by Electronics and ICT Academy, IIT Roorkee from 12/09/2022 to 16/09/2022.
3 Weeks workshop on “Machine Learning & Its Application Using Python” from 10th Oct 2022 to 26th Oct 2022 organized by Eduxlabs in association with IIT Madras.
Attended Faculty Enablement Program on “Python Programming through INFYTQ Platform” by Infosys in June 2020.
5 Days FDP on “Recents Trend in Deep Learning & Large Language Models” organized by Electronics and ICT Academy, IIT Roorkee from 9th Oct 2023 to 13th Oct 2023.
Attended 5 Days FDP on “ An Integrated approach for Computing Resources : Cloud with Internet of Things” organized by “Bennett University” from 5th June 2023 to 9th June 2023.
