Faculty Cover
Dr. Priyanka Gupta
8 years 2 Months
Teaching Experience
10 years 8 months
Total Experience
Ph.D.
Highest Qualification
5+
Published Works

About & Biography

I am a dedicated academic and researcher with a strong interest in Machine Learning and Deep Learning, with a focus on developing intelligent, data-driven solutions to real-world problems. My research interests include the design and application of machine learning and deep learning models, with an emphasis on improving model accuracy, interpretability, and practical applicability across diverse domains. My teaching philosophy is centered on conceptual clarity, experiential learning, and continuous innovation. I believe in creating an inclusive and engaging learning environment where students are encouraged to understand fundamental concepts, think critically, experiment with emerging technologies, and apply their knowledge to practical problems. Through a combination of theoretical foundations, hands-on projects, research-oriented learning, and industry-relevant applications, I aim to inspire students to become independent learners, effective problem solvers, and responsible contributors to the field of Artificial Intelligence.

Education & Qualifications

Doctorate2024
Ph.D.
Computer Science & Engineering
SRM Institute of Science & Technology
Masters2014
M.Tech
Computer Science & Engineering
Uttar Pradesh Technical University (U.P.T.U), Lucknow
Bachelors2010
B.Tech
Computer Science & Engineering
Guru Gobind Singh Indraprastha University, Delhi

Research Specialization & Focus Areas

  • Artificial Intelligence
  • Machine Learning
  • Deep Learning

Scholarly Publications

5 publications
2025
01

Heart Disease Prediction Using Hyperparameter Tuning of Multilayer Perceptron and Decision Tree

International Conference on Micro-Electronics and Telecommunication Engineering, Lecture Notes in Networks and SystemsConference proceeding

2023
02

Early Detection of Heart Disease Using Multilayer Perceptron

International Conference on Micro-Electronics and Telecommunication Engineering, Lecture Notes in Networks and SystemsConference proceeding

2022
03

Comparative analysis and feature importance of machine learning and deep learning for heart disease prediction

Indo. Journal of Elect Eng. and Comp. Sciencepeer-reviewed, Scopus/SCI

04

Comparative Analysis of Machine Learning Classifiers for Accurate and Early Detection of Heart Disease

International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) Amity University, NoidaConference proceeding

2019
05

Handwritten character recognition using neural network and tensor flow

International Journal of Innovative Technology and Exploring Engineeringpeer-reviewed, Scopus/SCI