Priyanka Jaiswal
January 13, 2025 2025-01-20 5:19Priyanka Jaiswal
Dr. Priyanka G. Jaiswal
Ph.D. Programme in Computer Engineering and IT, Specialising in Computer Science and Engineering
Ph.D. Completion: October 04, 2024
Guide: Dr. S.G. Bhirud
Contact
Biography
Dr. Priyanka G. Jaiswal is an accomplished academician and researcher, currently serving as an Assistant Professor at Yeshwantrao Chavan College of Engineering (YCCE), Nagpur, from past 12 Years and completed her research as a Ph.D. scholar at Veermata Jijabai Technological Institute (VJTI), Mumbai under the guidance of Dr. Sunil Bhirud. Completed her research in Classification of multiple oral diseases using panoramic radiographs. Priyanka Jaiswal completed her undergraduate and postgraduate studies in Computer Science Engineering from Nagpur University.
As an Assistant Professor at YCCE, she has been instrumental in shaping young minds through her dedication to teaching and mentorship. She has taught a variety of undergraduate and postgraduate courses, including Database Management System, Data Mining, Machine Learning, Deep Learning and Data Science and is well regarded for her ability to simplify complex concepts and inspire students toward innovation.
Her research has resulted in [8] publications in reputed journals conferences and patent, reflecting her commitment to advancing knowledge in her field. She believes in the transformative power of education and strives to make impactful contributions to both academia and society.
Academic Information (Degrees/Education)
Ph.D. in Computer Engineering, VJTI Mumbai
M.Tech in Computer Science and Engineering, Nagpur University
Area of Research
Medical Image Processing, Artificial Intelligence
Research Interests
Medical image analysis, Business Intelligence, Data Science
Professional Affiliation
Assistant Professor at Yeshwantrao Chavan College of Engineering, Nagpur
Professional Experience
Total Experience: 12 Years
Publications
- P. Jaiswal and S. Bhirud, “An intelligent deep network for dental medical image processing system,” Biomedical Signal Processing and Control, vol. 84, p. 104708, Jul. 2023, doi: 10.1016/j.bspc.2023.104708.
- P. Jaiswal, V. Katkar, and S. Bhirud, “Multi Oral Disease Classification from Panoramic Radiograph using Transfer Learning and XGBoost,” International Journal of Advanced Computer Science and Applications, vol. 13, no. 12, Jan. 2022, doi: 10.14569/ijacsa.2022.0131230.
- P. Jaiswal and S. Bhirud. “A cropping algorithm for automatically extracting regions of ınterest from panoramic radiographs based on maxilla and mandible parts.” International Journal of Information Technology 15 (2023): 3631-3641.
- P. Jaiswal, S. Bhirud “Empirical analysis of various machine learning techniques with big data for different healthcare applications” Journal of advance research in dynamical and control system (JARDCS), Volume 11, 08 Special Issue Pages: 3064-3074.
- P. Jaiswal and S. Bhirud, “Classification and Prediction of Oral Diseases in Dentistry using an Insight from Panoramic Radiographs and Questionnaire” 2021 5th International Conference on Information Systems and Computer Networks (ISCON), Mathura, India, 2021, pp. 1-6i: 10.1109/ISCON52037.2021.9702402.
- P. Jaiswal and S. Bhirud, “Study and Analysis of an Approach Towards the Classification of Tooth Wear in Dentistry Using Machine Learning Technique” 2021 IEEE International Conference on Technology, Research, and Innovation Publications Classification of Multiple Oral Diseases using Panoramic Radiograph 137 Mrs. Priyanka Jaiswal (189071005) for Betterment of Society (TRIBES), Raipur, India, 2021, pp. 1-6, doi: 10.1109/TRIBES52498.2021.9751650
- Jaiswal, P., Bhirud, S. (2024). Segmentation of Dentin and Enamel from Panoramic Dental Radiographic Image (OPG) to Detect Tooth Wear. In: Borah, M.D., Laiphrakpam, D.S., Auluck, N., Balas, V.E. (eds) Big Data, Machine Learning, and Applications. BigDML 2021. Lecture Notes in Electrical Engineering, vol 1053. Springer, Singapore. https://doi.org/10.1007/978-981- 99-3481-2_38
- Smart Device for multiple oral disease identification using color images (Application No.202321051124)
