Analyzing Big Data Research: A Informetric Perspective on Challenges
Springer—Conference proceeding
Established 199785+ Faculty Members
Computer Science & Engineering
Empowering Next-Generation Computing, AI Systems & Software Engineering
2 years 6 months
Teaching Experience
8.5 years
Total Experience
Ph.D.
Highest Qualification
14+
Published Works
About & Biography
My Self Rupam Kumari from Computer Science and Engineering professional with 8.5 years of teaching experience in the field of Computer Science and Engineering, with a strong academic and research-oriented background. Currently pursuing a Ph.D. in Computer Science and Engineering, with the Ph.D. thesis successfully submitted.
Her primary research interests focus on Machine Learning and Artificial Intelligence, with an emphasis on developing intelligent, data-driven solutions to address real-world problems.
Education & Qualifications
Masters2018
M.Tech
Computer Science & Engineering
Roorkee College of Engineering
Bachelors2014
B.Tech
Computer Science & Engineering
Shobhit University
Doctorate2026
Ph.D.
Computer Science & Engineering
Capital University
Research Specialization & Focus Areas
- Artificial Intelligence
- Deep Learning
- Machine Learning
Scholarly Publications
14 publications(featured)
2026
2025
Enhancing Early Brain Tumour Diagonsis Using Active Contour Algorithm Integrated With Swin Preprocessing And Canny Edge Detection
Elsevier—peer-reviewed, Scopus/SCI
A Comparative Study of Different Cloud Computing Security Models
IEEE Conference—Conference proceeding
Regulatory Frameworks and Ethical Governance of Neural Networks in Computer Science Applications
IEEE Confernce—Conference proceeding
MULTIRESOLUTION FEATURES FOR SONIC LOG CLASSIFICATION
IEEE Conference—Conference proceeding
A Systematic Literature Review: Instagram fake Account Detection Based on Machine Learning
IEEE—Conference proceeding