Dr. Samta Rani

About

Dr. Samta Rani is currently serving as an Assistant Professor in the Department of Computer Science & Applications. She is a highly accomplished academician, holding a Ph.D. in Computer Engineering from Jamia Millia Islamia, New Delhi, with her research centered on hybrid artificial intelligence systems for cancer prediction. She also earned her M.Tech in Computer Engineering from the same university, and holds an MCA and B.Sc. in Computer Science from Kurukshetra University, Haryana. Dr. Rani has contributed extensively to research, with multiple publications and book chapters in reputed journals and conferences, including SCI-indexed outlets. Notably, she received the Best Paper Award at REEDCON 2023 (SCIE). Her teaching experience includes roles as a Guest Assistant Professor at Indira Gandhi Delhi Technical University for Women and D.A.V. College under Kurukshetra University.

Experience

• 3.5 Years

Qualification

• PhD
• M.Tech
• MCA
• B.Sc

Award & Recognition

• UGC- NET qualified (Percentile Score@:99) (5 Times)
• GATE qualified (5 Times)
• Best paper award at the International Conference on Recent Advances in Electrical, Electronics & Digital Healthcare Technologies, 2023 (REEDCON 2023) during 01st – 03rd May, 2023 at Jamia Millia Islamia, New Delhi India.
• Honored with scholarship for achieving 3rd position in overall academic session in MTech (Computer Engineering), Jamia Millia Islamia, New Delhi, India.

Research

• Samta Rani, & Sarfaraz Masood, (2020). Predicting congenital heart disease using machine learning techniques. Journal of Discrete Mathematical Sciences and Cryptography, 23(1), 293-303. (Taylor & Francis Conference)
• Samta Rani, Tanvir Ahmad, and Sarfaraz Masood. "Comparative analysis of breast and prostate cancer prediction using machine learning techniques." International Conference on Innovative Computing and Communications: Proceedings of ICICC 2022, Volume 1. Singapore: Springer Nature Singapore, 2022. (Springer Book Chapter)
• Samta Rani, Tanvir Ahmad, and Sarfaraz Masood. "Handling Class Imbalance Problem using Oversampling Techniques for Breast Cancer Prediction." 2023 International Conference on Recent Advances in Electrical, Electronics & Digital Healthcare Technologies (REEDCON). IEEE, 2023. (Best Paper Award (IEEE))
• Samta Rani, Tanvir Ahmad, and Sarfaraz Masood. "Deep neural architecture for breast cancer detection from medical CT image modalities. " Diagnostic Biomedical Signal and Image Processing Applications with Deep Learning Methods, pp. 119-135. Academic Press, 2023. (Elsevier Book Chapter)
• Samta Rani, et al. "Diagnosis of breast cancer molecular subtypes using machine learning models on unimodal and multimodal datasets." Neural Computing and Applications 35.34 (2023): 24109-24121. (SCIE IF-6.0)
• Alongbar Wary, Samta Rani, et al. titled "Breast Cancer Detection: A Comparative Analysis Of Different ML Models With Feature Selection Techniques". Accepted in International Conference on Advanced Communication and Intelligent Systems (ICACIS 2024). (Scopus)
• Samta Rani, Tanvir Ahmad, Sarfaraz Masood and Chandni Saxena, “Exploring learning environments for label-efficient cancer diagnosis,” Engineering Applications of Artificial Intelligence. (SCIE, IF-8.0) (Under Review)
• Samta Rani, Sarfaraz Masood, “A Bi-LSTM based approach for Compensation detection during robotic stroke rehabilitation therapy” International Conference on Machine Learning and Data Engineering. (Elsevier Procedia Computer Science)
• Samta Rani, Tayyab Khan, Bhoopesh Singh Bhati, Vajenti Mala, and Ajai Kumar. "Enhanced Heart Disease Prediction Using Optimized Ensemble Machine Learning Models with Soft Voting." In 2025 International Conference on Networks and Cryptology (NETCRYPT), pp. 1709-1713. IEEE, 2025.
• Regmi, Prasiddha, Somraj Verma, and Samta Rani. "Analysis 10-Year Cancer Trends: Identifying Key Types with Clustering." In 2025 International Conference on Digital Innovations for Sustainable Solutions (ICDISS), pp. 1-6. IEEE, 2025.

Certifications

• Certificate of Participation as Session Chair at the 3^rd International Conference on Networks and Cryptology (NETCRYPT 2025) organized by School of Computer and System Sciences, JNU, New Delhi, India

Area of Interest

• Artificial Intelligence
• Machine Learning
• Healthcare Domain