Established 199819+ Faculty Members

Computer Applications

Bridging Software Development, Cloud Applications & Modern Enterprise Technologies

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Dr. Akshita Chaudhary

Dr. Akshita Chaudhary

Assistant Professor•Computer Applications

5 Yrs
Teaching Experience
5 Yrs
Total Experience
Ph.D.
Highest Qualification
7+
Published Works

About & Biography

Dr. Akshita Chaudhary is an accomplished academician, researcher, and Ph.D. Supervisor with over 5 years of teaching and academic experience in Computer Science and Applications. She is currently working as an Assistant Professor and Ph.D. Supervisor at SRM Institute of Science and Technology, NCR Campus, Ghaziabad, with expertise in Computer Science, Artificial Intelligence, Machine Learning, Cloud Computing, Data Science, and emerging technologies. She holds a Ph.D. in Computer Science, along with an M.Tech. in Computer Science and an MCA. Her research interests include Artificial Intelligence, Machine Learning, Deep Learning, Cloud Computing, Big Data, IoT, Cybersecurity, and intelligent computational systems. She has contributed to Scopus-indexed, SCI/SCIE, IEEE, and other reputed research publications, authored a book, and contributed to patented innovations. She is actively engaged in teaching, research supervision, academic coordination, curriculum development, and professional development through conferences, workshops, and Faculty Development Programmes. Her academic profile reflects a strong combination of teaching excellence, research orientation, technological expertise, and academic administration.

Education & Qualifications

Doctorate2021
Ph.D.
cloud computing
JJTU, RAJASTHAN
Masters2017
MCA
COMPUTER APPLICATION
SRM UNIVERSITY / SRM UNIVERSITY
Bachelors2015
BCA
COMPUTER APPLICATION
CCS UNIVERSITY/ RCCV GIRLS COLLEGE

Research Specialization & Focus Areas

  • Artificial Intelligence
  • Machine Learning
  • Cloud Computing
  • Internet of Things (IoT)
  • Robotics & Automation

Scholarly Publications

7 publications
2025
01

Anomaly Detection in Network Security: A Comparative Study of Cybersecurity Intrusion Detection Machine Learning Algorithms

JOURNAL—peer-reviewed, Scopus/SCI

02

Opti DRL: Integrating Optical Networks With Multi-Objective Optimization And Deep Reinforcement Learning For MEC Resource Allocation” Metallurgical and Materials Engineering

JOURNAL—peer-reviewed, Scopus/SCI

03

Intelligent Routing in MANETs: Bridging AI and Protocol Design for Next-Gen Networks

JOURNAL—peer-reviewed, Scopus/SCI

2024
04

Trustworthy Intelligence: Interpretability of predictive Models in Clinical Decision Support

JOURNAL—peer-reviewed, Scopus/SCI

05

An Enhanced Power Energy Environment And Intelligent Control System For Solar Energy Harvesting System”

Conference—Conference proceeding

06

Utilizing Neural Networks For Image And Sound Signal Recognition In Autonomous Driving”

Conference—Conference proceeding

Honors, Awards & Recognitions

  • DIGITAL TOOTH BRUSH

    2025

    Intellectual property office