Twinkle Gupta

About Twinkle Gupta

I am a Chemical Engineering undergraduate at IIT Ropar with a strong interest in applying data-driven and machine learning approaches to complex engineering and environmental problems. My academic and research work lies at the intersection of process engineering, time-series modeling, and artificial intelligence. I have completed research internships focused on soil moisture prediction using hybrid Just-In-Time learning models and sea surface temperature prediction using Spatio-Temporal Graph Neural Networks (STGNNs) on large-scale sensor and oceanographic datasets. I have also worked on projects involving anomaly detection in chemical sensor data, soft sensor development for industrial processes, and dynamic modeling and control of biomedical systems. Through these experiences, I have developed a strong foundation in analytical thinking, modeling, and translating data-driven insights into practical engineering solutions.

Experience

1. Research Intern

   Indian Institute Of Technology, Ropar

   Mar 2025 — Present · Rupnagar, IN

   1) Developed and evaluated hybrid JIT-based models for soil moisture prediction, integrating time-series and machine learning techniques.(2) Implemented architectures including JIT-ARX-PCA-GPR, JIT-ARX-GPR with feature selection, JIT-GPR-KNN, and JIT-KNN with Polynomial Regression.(3)Currently working on Spatio-Temporal Graph Neural Network (STGNNs) for sea surface temperature prediction using oceanographic datasets.

Education

• St. Anselm's Senior Secondary School

  Class 10th

• Indian Institute of Technology, Ropar

  Bachelor of Technology - BTech, Chemical Engineering

• Children's Academy Convent School - India

  Class 12th