Supervision

Research scholars and post-graduate students supervised, past and present

Ph.D. Supervision 5 completed, 4 on-going

  1. Ningthoujam Justwant Singh 246101102 · December 2024 – Continuing · jointly with Prof. Ashish Anand
  2. Rahul Pandey 246101010 · July 2024 – Continuing

    Thesis: Physics-Informed Neural Networks for Time Series Prediction

  3. Nirban Das 246101009 · July 2024 – Continuing

    Thesis: Neuro-Symbolic Approaches for Explaining Deep Temporal Neural Models

  4. Archana K R 246101002 · July 2024 – Continuing

    Thesis: Multi-modal Learning for Predictive Time Series Analysis

  1. Sonal Kumar 206101011 · July 2020 – April 2026 · jointly with Prof. Arijit Sur

    Thesis: Self-Supervised Learning-based Approaches for Computer Vision Applications

    AI Scientist, ExxonMobil, Bengaluru, Karnataka, India

  2. Deepankar Nankani 156201001 (Dual Degree) · July 2015 – October 2022

    Thesis: Deep Learning Models for Cardiac Abnormality Detection from ECG Signals: An Interpretability Perspective

    Consultant-1, Eli Lilly and Company

  3. Achyut Mani Tripathi 136101008 · December 2013 – May 2021

    Thesis: Anomaly Detection in Oil Well Drilling Operations Using Artificial Intelligence-based Approaches

    Assistant Professor, Dept. of Computer Science & Engineering, IIT Dharwad

  4. Pallabi Saikia 146101011 · July 2014 – August 2020

    Thesis: Estimation of Petro-physical Properties for Reservoir Characterisation Using Advanced Machine Learning Approaches

    Assistant Professor, Dept. of Computer Science & Engineering, Rajiv Gandhi Institute of Petroleum Technology (Energy Institute), Bengaluru

  5. Sonia Sharma 146101008 · July 2014 – October 2019 · jointly with Prof. S.B. Nair

    Thesis: Non-Intrusive Human Sensing: Techniques and Applications

    Data Scientist, Eli Lilly and Company

M.Tech Supervision 19 completed

2025-2026

  1. Somenath Maji

    Thesis: Premium Brand Discovery for Large Marketplaces with Customer-Aware Ranking Models

    Development Associate Consultant at SAP

  2. Shwetank Pratap Tiwari 244101055

    Thesis: Context-Driven Explainability for Transformer-Based Time-Series Prediction

    SDE1 at Quince

  3. Vaibhav Rajanand Wankar 244101061

    Thesis: A Hybrid Framework for Actionable and Physically Plausible Multivariate Time-Series Counterfactuals

    AI Engineer at LTIMINDTREE

  4. Avinash Yadav 244101008

    Thesis: Attention-Guided Counterfactual Explanations for Transformer-Based Multivariate Time-Series Classification

2024-2025

  1. Amiya Ranjan Panda

    Thesis: Counterfactual Explanations for Deep Learning-based Remaining Useful Life Prediction

  2. Ujjawal Mawar

    Thesis: Counterfactual Explanations for Deep Learning-based Remaining Useful Life Prediction

  3. Shantanu Shrivastav

    Thesis: Explainable Event Detection and Diagnosis for Smart Environments Using Neuro-Symbolic Methods

    Engineer at MathWorks

  4. Susmit Das

    Thesis: Explainable Event Detection and Diagnosis for Smart Environments Using Neuro-Symbolic Methods

    Machine Learning Engineer at Manthhan

2020-2021

  1. Rashika Sharma

    Thesis: Context-based Failure Prognosis Using Deep Learning

    Software Developer at IBM

  2. Mayank Verma

    Thesis: Interpretation of Attention-based CNN and Transformer Neural Network for ECG-rhythm classification

    Software Engineer at ANZ

  3. Shivam Maurya

    Thesis: Analysis of Model Compression Techniques for Detecting Atrial Fibrillation on Mobile Devices

    Senior Software Engineer at PayPal

2017-2018

  1. Subash

    Thesis: User Activity Recognition in Multi-user Smart Environments

    Senior Member Of Technical Staff at Oracle

  2. Suweta Shakya

    Thesis: Rig Activity Recognition in Oil Well Drilling Operation using Artificial Intelligence-based Approaches

    Analytic Science- Senior Scientist at FICO

  3. Sudip Suprakash Pati

    Thesis: Reservoir Property Estimation using Neural Networks

    Principal Software Engineer at Arctera.io

2016-2017

  1. Supreeti Katiyar

    Thesis: Stuck-Pipe Problem Detection in Oil-Well Drilling Operations Using Artificial Intelligence Techniques

    Member Of Technical Staff 3 at Omnissa

  2. Prashant Kumar

    Thesis: Estimation of porosity from Seismic Data and Well Logs using Deep Learning

  3. Manish Singh

    Thesis: Behaviour Modelling From Activity Recognition

2015-2016

  1. Simarjot Kaur

    Thesis: Deep learning for Time series Prediction

  2. Hardeep Singh

    Thesis: Modified Condensed Nearest Neighbour for Maintenance of Case-based Reasoning System

B.Tech Supervision 3 completed

2025-2026

  1. Gagandeep Singh

    Thesis: Knowledge Graph Fusion for Time-Series Transformers

    Software Engineer at Nobroker

  2. Harshit Chachriya

    Thesis: Context-Integrated Transformers for Explainable Time-Series Forecasting

    Member, Tech at De Shaw & Co

  3. Divyansh Chandak

    Thesis: Temporal Symbolic Rule Extraction from Time-Series Transformers for Post-hoc Explainability and Querying

    Product Engineer at Sprinklr