Deepti Sharma

Accomplished Network Engineer with a proven track record at Kurukshetra University, enhancing network performance and reliability. Expert in network configuration and LAN switching technologies, coupled with a strong ability to foster student growth as an Assistant Professor. Increased system availability through strategic upgrades, demonstrating exceptional problem-solving and interpersonal skills.

My Ph.D. research focuses on advancing breast cancer diagnosis through the application of machine learning techniques. By leveraging computational algorithms and data-driven approaches, I aim to enhance the accuracy and efficiency of early detection methods. Specifically, my work involves developing novel machine learning models that can analyze complex datasets such as mammograms, genetic profiles, and clinical records. These models will not only identify subtle patterns indicative of breast cancer but also prioritize personalized treatment strategies based on individual patient characteristics. Through this research, I aspire to contribute to the field of oncology by improving diagnostic outcomes, ultimately striving towards more effective and timely interventions for patients battling breast cancer.

During my the course of my Ph.D. journey focused on breast cancer diagnosis using machine learning, I have actively contributed to the scientific community through several research publications. These publications highlight my innovative approaches in utilizing machine learning algorithms to analyze diverse datasets including mammograms, genetic profiles, and clinical data. One of my key publications explores the development of a robust machine learning model capable of detecting early-stage breast cancer with high accuracy, thereby potentially improving patient outcomes through earlier intervention.

Furthermore, my research publications also delve into the integration of advanced computational techniques to enhance the understanding of breast cancer pathology and treatment response prediction. These contributions not only underscore my commitment to advancing the field of oncology but also demonstrate my ability to translate theoretical insights into practical solutions that can benefit healthcare practitioners and patients alike.

Through these publications, I aim to foster dialogue and collaboration within the scientific community, ultimately driving forward the development of more effective and personalized diagnostic tools for breast cancer detection and management.

LIST OF PUBLICATIONS

Papers Published
1. Deepti Sharma, Rajneesh Kumar, and Anurag Jain. “An integrated System for Breast Cancer Diagnosis using Convolution Neural Network and Attention Mechanism”, Journal of Autonomous Intelligence, 2024[Scopus Indexed].
2. Deepti Sharma, Rajneesh Kumar, and Anurag Jain. “An Efficient Breast Cancer Disease Prediction Method Using Deep Learning” International Conference on Contemporary Computing and Informatics (IC3I) 2024, IEEE [Scopus Indexed].
3. Deepti Sharma, Rajneesh Kumar, and Anurag Jain.;An adaptive framework for predicting breast cancer at an early stage &; Measurement: Sensors (2023): 100901.[Scopus Indexed].
4. Deepti Sharma, Rajneesh Kumar, and Anurag Jain. &;Breast cancer prediction based on neural networks and extra tree classifier using feature ensemble learning ; Measurement: Sensors 24 (2022): 100560 [Scopus Indexed].
5. Deepti Sharma, Rajneesh Kumar, and Anurag Jain. Hybrid Missing Value Imputation Algorithm-KLR; Mathematical Statistician and Engineering
Applications 71, no. 2 (2022): 60-74
6. Deepti Sharma, Rajneesh Kumar, and Anurag Jain. "Breast Cancer Patient Classification from Risk Factor Analysis Using Machine Learning Classifiers.In Emergent Converging Technologies and Biomedical Systems: Select Proceedings of ETBS 2021, pp. 491-504. Singapore: Springer Singapore, 2022 [Scopus Indexed].
7. Deepti Sharma, Rajneesh Kumar, and Anurag Jain. "A systematic review of risk factors and risk assessment models for breast cancer." Mobile Radio Communications and 5G Networks: Proceedings of MRCN 2020 (2021): 509-519 [Scopus Indexed].
8. Deepti Sharma, Rajneesh Kumar, and Anurag Jain. “An intelligent breast cancer classification and prediction model using deep learning”, Lecture Notes in Networks and Systems 2023 [Scopus Indexed] (In Press).

Patent Published
1. Deepti Sharma, Rajneesh Kumar, and Anurag Jain. (2022), “A system of a
hybrid missing value imputation algorithm on Cancer” Patent Application No.
2021110605459 (pp. 14152), Office of Controller General of Patents, Designs &
Trademarks, India.