A novel deep learning technique for medical image analysis using improved optimizer
Health Informatics Journal—peer-reviewed, Scopus/SCI
Established 199785+ Faculty Members
Computer Science & Engineering
Empowering Next-Generation Computing, AI Systems & Software Engineering
Dr.Vertika Agarwal
Assistant Professor•Computer Science & Engineering
10 .5years
Teaching Experience
10 .5years
Total Experience
Ph.D.
Highest Qualification
6+
Published Works
About & Biography
An accomplished academic, researcher with over 10 years of experience in teaching and research. I am currently serving as an Assistant Professor at SRM Institute of Science and Technology, Delhi-NCR Campus, and holds a Ph.D. and M.Tech. in Computer Science.My research expertise encompasses Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, and Medical Image Analysis, with particular emphasis on AI-driven healthcare applications. I have published research in SCI- and Scopus-indexed journals, holds patents, and has contributed chapters to books on emerging areas of Artificial Intelligence, Cloud Security, and Natural Language Processing.
Education & Qualifications
Doctorate2026
Ph.D.
computer science and engineering
Graphic Era Hill university
Masters2011
M.Tech
computer science and engineering
Lingayas University
Bachelors2005
B.Tech
Information Technology
COER University
Research Specialization & Focus Areas
- Artificial Intelligence
- Deep Learning
- Internet of Things (IoT)
Scholarly Publications
6 publications
2024
Comparative analysis of deep learning models for various optimizer embedded with gradient centralization
Int. J. Intell. Syst. Appl. Eng—peer-reviewed, Scopus/SCI
2023
Village Tourism Empowerment Against Innovation, Economy Creative, and Social Environmental
Aptisi Transactions on Technopreneurship (ATT)—peer-reviewed, Scopus/SCI
2022
2022 IEEE Creative Communication and Innovative Technology (ICCIT)
2022 IEEE Creative Communication and Innovative Technology (ICCIT)—Conference proceeding
Analysis of Emerging Preprocessing Techniques Combined with Deep CNN for Lung Disease Detection
2022 1st International Conference on Technology Innovation and Its Applications (ICTIIA)—Conference proceeding
Application of Voting Based Approach on Deep Learning Algorithm for Lung Disease Classification
Analysis of Emerging Preprocessing Techniques Combined with Deep CNN for Lung Disease Detection—Conference proceeding
Honors, Awards & Recognitions
A SECURITY SYSTEM AND METHOD OF IMPROVING MALWARE DETECTION