Research Projects
Current / Ongoing Research
Ongoing thesis work by our PhD, M.Tech., B.Tech., and Institute Post Doctoral Fellow researchers.
PhD 3
Physics-Informed Neural Networks for Time Series Prediction
Rahul Pandey
· PhD Scholar
Neuro-Symbolic Approaches for Explaining Deep Temporal Neural Models
Nirban Das
· PhD Scholar
Multi-modal Learning for Predictive Time Series Analysis
Archana K R
· PhD Scholar
The work focuses on Multi-modal Learning for Predictive Time Series Analysis, with primary emphasis on time-series forecasting and secondary focus on anomaly detection. It studies how numerical time-series data can be integrated with external modalities such as text and images to capture both historical patterns and contextual information. By analysing fusion and alignment strategies at input, intermediate, and output levels, the work aims to address research gaps in multi-level alignment, advanced fusion mechanisms, and variable-aware integration of external context, leading to more accurate, reliable, and context-aware predictive models.
AI-based Procurement RFx Automation for Numaligarh Refinery Ltd - PHASE 2
Funded by: Numaligarh Refinery Ltd.
In collaboration with C-DAC Bangalore and Manthhan Software Pvt. Ltd.
AI-based Procurement RFx Automation for Numaligarh Refinery Ltd - PHASE 1
Funded by: Numaligarh Refinery Ltd.
LOTUS: Low-cost Innovative Technology for Water Quality Monitoring and Water Resources Management for Urban and Rural Water Systems in India
Funded by: DST and European Union under Horizon 2020 Research and Innovation Programme
Estimation of flocculant dosage for Efficient Operation of High Rate Thickener (HRT) using Artificial Intelligence-based models
Funded by: Tata Steel Limited, Jamshedpur
Seamless Health Monitoring and Analysis of Soldiers Using Machine Learning Approach
Funded by: AICTE, Collaborative Research Scheme under Technical Education Quality Improvement Programme (TEQIP) III
Estimation of Petro-Physical Properties from Seismic Attributes and Well Logs Using Advanced Artificial Intelligence
Funded by: ONGC, Geodata Processing & Interpretation Centre (GEOPIC), Dehradun
Development of Comprehensive Interactive Well Monitoring Software Tool for Drilling Supervisors
Funded by: ONGC, Institute of Drilling Technology (IDT), Dehradun
A System for Litter Monitoring and Control Using off-the-shelf Sensors and Robotic Platforms
Funded by: IIT Guwahati Start-up Grant
Knowledge Graph Fusion for Time-Series Transformers
Gagandeep Singh
· B.Tech.
Context-Integrated Transformers for Explainable Time-Series Forecasting
Harshit Chachriya
· B.Tech.
Temporal Symbolic Rule Extraction from Time-Series Transformers for Post-hoc Explainability and Querying
Divyansh Chandak
· B.Tech.
Premium Brand Discovery for Large Marketplaces with Customer-Aware Ranking Models
Somenath Maji
· M.Tech.
Context-Driven Explainability for Transformer-Based Time-Series Prediction
Shwetank Pratap Tiwari
· M.Tech.
A Hybrid Framework for Actionable and Physically Plausible Multivariate Time-Series Counterfactuals
Vaibhav Rajanand Wankar
· M.Tech.
Attention-Guided Counterfactual Explanations for Transformer-Based Multivariate Time-Series Classification
Avinash Yadav
· M.Tech.
Counterfactual Explanations for Deep Learning-based Remaining Useful Life Prediction
Amiya Ranjan Panda & Ujjawal Mawar
· M.Tech.
Explainable Event Detection and Diagnosis for Smart Environments Using Neuro-Symbolic Methods
Shantanu Shrivastav & Susmit Das
· M.Tech.
Context-based Failure Prognosis Using Deep Learning
Rashika Sharma
· M.Tech.
Interpretation of Attention-based CNN and Transformer Neural Network for ECG-rhythm classification
Mayank Verma
· M.Tech.
Analysis of Model Compression Techniques for Detecting Atrial Fibrillation on Mobile Devices
Shivam Maurya
· M.Tech.
User Activity Recognition in Multi-user Smart Environments
Subash
· M.Tech.
Rig Activity Recognition in Oil Well Drilling Operation using Artificial Intelligence-based Approaches
Suweta Shakya
· M.Tech.
Reservoir Property Estimation using Neural Networks
Sudip Suprakash Pati
· M.Tech.
Stuck-Pipe Problem Detection in Oil-Well Drilling Operations Using Artificial Intelligence Techniques
Supreeti Katiyar
· M.Tech.
Estimation of porosity from Seismic Data and Well Logs using Deep Learning
Prashant Kumar
· M.Tech.
Behaviour Modelling From Activity Recognition
Manish Singh
· M.Tech.
Deep learning for Time series Prediction
Simarjot Kaur
· M.Tech.
Modified Condensed Nearest Neighbour for Maintenance of Case-based Reasoning System
Hardeep Singh
· M.Tech.
Self-Supervised Learning-based Approaches for Computer Vision Applications
Sonal Kumar
· PhD
Deep Learning Models for Cardiac Abnormality Detection from ECG Signals: An Interpretability Perspective
Deepankar Nankani
· PhD
Anomaly Detection in Oil Well Drilling Operations Using Artificial Intelligence-based Approaches
Achyut Mani Tripathi
· PhD
Estimation of Petro-physical Properties for Reservoir Characterisation Using Advanced Machine Learning Approaches
Pallabi Saikia
· PhD
Non-Intrusive Human Sensing: Techniques and Applications
Sonia Sharma
· PhD
8
Funded Projects
3
Ongoing Theses
25
Completed Theses
High
Impact Solutions