Dr. Mohit Choubey
Maulana Azad National Institute of Technology, University Institute of Technology RGPV, Rajiv Gandhi Proudyogiki Vishwavidyalaya
0009-0003-2968-360X
About
I am currently pursuing a Doctor of Philosophy (Ph.D.) in Artificial Intelligence from Maulana Azad National Institute of Technology (MANIT), Bhopal, under the Electronics and Communication Engineering (ECE) department. My research focuses on analysis and forecasting of electrical load using machine learning techniques, with an emphasis on improving prediction accuracy and detecting anomalies in load data.
Previously, I completed a Master’s degree in Digital Communication from RGPV University, and further honed my skills by studying data analytics to strengthen my foundation in mathematics, programming, and statistical modeling.
🔍 Research & Technical Expertise:
Time series forecasting (Neural Prophet, Stacking, Ensemble Models)
Machine learning techniques including regression models, decision trees, clustering, and anomaly detection
Python programming for data analysis and model development
Data visualization using Tableau
Statistical methods for model evaluation and performance tuning
📚 Publications & Research Contributions:
2 SCIE Q1 and 1 SCI Q2 journal papers and 1 Scopus-indexed journal on electrical load prediction and anomaly detection
6 IEEE conference papers and 1 Springer conference paper
Key research areas: AI applications in load forecasting, contrastive learning, banking data analytics, and smart grid optimization
Some notable works include:
“Contrastive Learning for Efficient Anomaly Detection in Electricity Load Data” – Sustainable Energy, Grids and Networks, 2025
“Predicting Electrical Load Demands Using Neural Prophet-Based Forecasting Model” – SN Computer Science, 2024
“Robust Electric Load Forecasting Through Ensemble Learning” – Computers and Electrical Engineering, 2025
“Term Deposit Customer Prediction Using Bank Marketing Data” – IEEE Conference, 2025
🔗 Google Scholar: https://scholar.google.com/citations?user=DdYW_HMAAAAJ&hl=en
💡 Vision & Career Aspiration:
I am a highly analytical and collaborative individual, passionate about leveraging AI and machine learning to solve real-world problems. I bring a strong mathematical background, robust programming skills, and the ability to clearly communicate technical insights. I am actively seeking opportunities in machine learning, data science, or analytics roles where I can contribute to innovative projects, advance my learning, and make a meaningful impact.
Let’s connect and collaborate on solving complex data-driven challenges!
Employment
Employment history is unavailable.
Education
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Maulana Azad National Institute of Technology Doctor of philosophy2021 - 2026
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University Institute of Technology RGPV MASTER OF ENGINEERING2017 - 2019
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Rajiv Gandhi Proudyogiki Vishwavidyalaya Bachelor of Engineering2012 - 2016
Projects & Funding
Projects & funding information is unavailable.
Publications (23)
- Synthetic data-augmented AI models for load forecasting: Enhancing accuracy, robustness, and generalization through optimized blending strategies Save
- A Lightweight Deep Learning Architecture for Accurate and Efficient Short-Term Load Forecasting Save
- A Patch-Based Transformer Framework for High-Accuracy and Efficient Short-Term Load Forecasting Save
- Affordable Pneumatic VR Motion Platform for School-Level Immersive Learning: Design, Analysis, and Validation Save
- Deep Transfer Learning for Diabetic Retinopathy Detection Save
- Interpretable Crop Yield Forecasting Under Climate Change Using Temporal Fusion Transformers Save
- Digitization in Smart Farming: Revolutionizing Agriculture Save
- Variational Mode Decomposition-Driven Hybrid ARIMA-LSTM Model for Load Forecasting Save
- Utilizing Neural Prophet to Predict Short-Term Electrical Load Save
- Term Deposit Customer Prediction: Leveraging Explainable Boosting Machine (EBM) with Bank Marketing Data Save