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Ms. Samta Rani

Ms. Samta Rani

Assistant Professor, Computer Science & Applications (CSA)

samta.rani7@sharda.ac.in

About

Ms. Samta Rani is currently working as Assistant Professor in the department of Computer Science & Applications. She is a highly qualified professional currently pursuing a full-time Ph.D. in Computer Engineering at Jamia Millia Islamia, New Delhi, focusing on hybrid artificial intelligence systems for cancer predictions. She holds an M.Tech in Computer Engineering from the same institution, and an MCA and B.Sc. in Computer Science from Kurukshetra University, Haryana. Samta Rani has published multiple research papers and book chapters in prestigious journals and conferences, including a best paper award at REEDCON 2023. Her teaching experience includes roles as a Guest Assistant Professor at Indira Gandhi Delhi Technical University for Women and D.A.V. College, Kurukshetra University. She is proficient in several technical skills, including Python, C, C++, and Java, and is dedicated to using artificial intelligence and machine learning to solve real-world problems, particularly in intelligent healthcare systems. Her commitment to education and research is evident in her extensive participation in workshops, seminars, and webinars, as well as her numerous qualifications, including UGC-NET, GATE, and HTET.

Experience

2 years

Qualification
  • B.Sc
  • MCA
  • M.Tech
  • PhD (Pursuing)
Award & Recognition

 

  • UGC- NET qualified (Percentile Score@:99) (5 Times) 
  • GATE qualified (5 Times) 
     

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) 
 

Area of Interest

• Artificial Intelligence
• Machine Learning
• Healthcare Domain