Established 199785+ Faculty Members

Computer Science & Engineering

Empowering Next-Generation Computing, AI Systems & Software Engineering

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Dr. Rajneesh Kumar

Dr. Rajneesh Kumar

Assistant Professor•Computer Science & Engineering

4 Yrs
Teaching Experience
25 Yrs
Total Experience
Ph.D.
Highest Qualification
5+
Published Works

About & Biography

I have been in SRM since January 2009 and actively engaged in research-oriented teaching and student mentoring, with an emphasis on bridging theoretical foundations with practical applications. I mentors students in research projects and encourages them to explore emerging technologies, analytical methodologies, and innovative computational solutions to interdisciplinary problems. My academic interests are directed towards advancing intelligent and data-driven systems through the integration of Artificial Intelligence, Machine Learning, Deep Learning, and statistical and computational techniques. I am committed to contributing to high-quality research, scholarly collaboration, innovation, and the development of technically proficient and research-oriented graduates.

Education & Qualifications

Doctorate2023
Ph.D.
CSE
SRM University Chennai

Research Specialization & Focus Areas

  • Artificial Intelligence
  • Deep Learning
  • Data Science & Analytics

Scholarly Publications

5 publications(featured)
2026
01

DERMAEDGE-X: An Efficiency-Oriented and Classimbalance-Aware Deep Learning Framework for Multiclass Skin Lesion Classification

Genetics and Molecular Research 25—peer-reviewed, Scopus/SCI

02

A Cascaded Deep Learning Framework for Robust Liver CT Segmentation Using ROI Refinement and Patient-Level Cross-Validation

Journal of Intelligent Decision Making and Information Science 3 (8s), 1644-1654—peer-reviewed, Scopus/SCI

2025
03

From Signs to Text Unlocking Communication in Real Time and Comparisons

International Conference on Data Analytics and Management(ICDAM-2025) 1601—Conference proceeding

2023
04

An accurate prediction of crop yield using hybrid deep capsule auto encoder with softmax regression

Multimedia Tools and Applications 82 (10), 15371-15393—peer-reviewed, Scopus/SCI

Other
05

Severity of natural calamities and crop yield prediction using hybrid deep learning model in Uttar Pradesh

World Water Policy 10 (1), 244-279—peer-reviewed, Scopus/SCI