Babji Srinivasan

According to our database, Babji Srinivasan authored at least 33 papers between 2009 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Performance monitoring of chemical plant field operators through eye gaze tracking.

Rohit Suresh, Babji Srinivasan, Rajagopalan Srinivasan

Comput. Chem. Eng., 2025

Inductive graph neural network framework for imputation of single-cell RNA sequencing data.

Boneshwar V. K, Deepesh Agarwal, Bala Natarajan, Babji Srinivasan

Comput. Chem. Eng., 2025

2024

Multi-class classification of control room operators' cognitive workload using the fusion of eye-tracking and electroencephalography.

Mohd Umair Iqbal, Babji Srinivasan, Rajagopalan Srinivasan

Comput. Chem. Eng., February, 2024

Modifier-adaptation-based RTO scheme for water distribution networks under demand and parametric uncertainties.

Jaivik K. Mankad, Nitin U. Padhiyar, Balasubramaniam Natarajan, Babji Srinivasan

Int. J. Autom. Control., 2024

2023

Graph Neural Network-Based Distribution System State Estimators.

Rahul Madbhavi, Balasubramaniam Natarajan, Babji Srinivasan

IEEE Trans. Ind. Informatics, December, 2023

Active Foundational Models for Fault Diagnosis of Electrical Motors.

Sriram Anbalagan, Sai Shashank GP, Deepesh Agarwal, Balasubramaniam Natarajan, Babji Srinivasan

CoRR, 2023

Towards AI enabled automated tracking of multiple boxers.

A. S. Karthikeyan, Vipul Baghel, Anish Monsley Kirupakaran, John Warburton, Ranganathan Srinivasan, Babji Srinivasan, Ravi Sadananda Hegde

CoRR, 2023

Foundational Models for Fault Diagnosis of Electrical Motors.

Sriram Anbalagan, Deepesh Agarwal, Balasubramaniam Natarajan, Babji Srinivasan

CoRR, 2023

Phasor data correction and transmission system state estimation under Man-in-the-Middle attack.

Aabila Tharzeen, Balasubramaniam Natarajan, Babji Srinivasan

Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2023

Punch Types and Range Estimation in Boxing Bouts Using IMU Sensors.

Saravanan Manoharan, John Warburton, Ravi S. Hegde, Ranganathan Srinivasan, Babji Srinivasan

Proceedings of the IEEE International Conference on Internet of Things and Intelligence Systems, 2023

2021

Enhanced Tensor Completion Based Approaches for State Estimation in Distribution Systems.

Rahul Madbhavi, Balasubramaniam Natarajan, Babji Srinivasan

IEEE Trans. Ind. Informatics, 2021

Addressing practical challenges in Active Learning via a hybrid query strategy.

Deepesh Agarwal, Pravesh Srivastava, Sergio Martin del Campo, Balasubramaniam Natarajan, Babji Srinivasan

CoRR, 2021

Addressing Uncertainties within Active Learning for Industrial IoT.

Deepesh Agarwal, Pravesh Srivastava, Sergio Martin del Campo, Balasubramaniam Natarajan, Babji Srinivasan

Proceedings of the 7th IEEE World Forum on Internet of Things, 2021

2020

Dynamic assessment of control room operator's cognitive workload using Electroencephalography (EEG).

Mohd Umair Iqbal, Babji Srinivasan, Rajagopalan Srinivasan

Comput. Chem. Eng., 2020

Tensor Completion based State Estimation in Distribution Systems.

Rahul Madbhavi, Hazhar Sufi Karimi, Balasubramaniam Natarajan, Babji Srinivasan

Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2020

2019

Data-Driven Approaches for Diagnosis of Incipient Faults in DC Motors.

Sai Munikoti, Laya Das, Balasubramaniam Natarajan, Babji Srinivasan

IEEE Trans. Ind. Informatics, 2019

A Framework for Efficient Information Aggregation in Smart Grid.

Amit Joshi, Laya Das, Balasubramaniam Natarajan, Babji Srinivasan

IEEE Trans. Ind. Informatics, 2019

Frequency-induced morphology alterations in microconfined biological cells.

Hritwick Banerjee, Bibhas Roy, Kaustav Chaudhury, Babji Srinivasan, Suman Chakraborty, Hongliang Ren

Medical Biol. Eng. Comput., 2019

Recent developments towards enhancing process safety: Inherent safety and cognitive engineering.

Rajagopalan Srinivasan, Babji Srinivasan, Mohd Umair Iqbal, Andreja Nemet, Zdravko Kravanja

Comput. Chem. Eng., 2019

2017

On the Detection of Valve Nonlinearities in Otherwise Linear Closed-Loop Systems.

Tim Spinner, Babji Srinivasan, Raghunathan Rengaswamy

IEEE Trans. Autom. Control., 2017

Quantifying situation awareness of control room operators using eye-gaze behavior.

Punitkumar Bhavsar, Babji Srinivasan, Rajagopalan Srinivasan

Comput. Chem. Eng., 2017

2016

Multivariate Control Loop Performance Assessment With Hurst Exponent and Mahalanobis Distance.

Laya Das, Babji Srinivasan, Raghunathan Rengaswamy

IEEE Trans. Control. Syst. Technol., 2016

Eye gaze movement studies of control room operators: A novel approach to improve process safety.

Chandresh Sharma, Punitkumar Bhavsar, Babji Srinivasan, Rajagopalan Srinivasan

Comput. Chem. Eng., 2016

2015

On-line performance monitoring of PEM fuel cell using a fast EIS approach.

Laya Das, Babji Srinivasan, Raghunathan Rengaswamy

Proceedings of the American Control Conference, 2015

2014

Data driven approach for performance assessment of linear and nonlinear Kalman filters.

Laya Das, Babji Srinivasan, Raghunathan Rengaswamy

Proceedings of the American Control Conference, 2014

2012

Control loop performance assessment using detrended fluctuation analysis (DFA).

Babji Srinivasan, Tim Spinner, Raghunathan Rengaswamy

Autom., 2012

2011

Computationally Efficient Identification of Global ARX Parameters With Guaranteed Stability.

Ulaganathan Nallasivam, Babji Srinivasan, Vidyashankar Kuppuraj, M. Nazmul Karim, Raghunathan Rengaswamy

IEEE Trans. Autom. Control., 2011

Kalman-based strategies for Fault Detection and Identification (FDI): Extensions and critical evaluation for a buffer tank system.

Kris Villez, Babji Srinivasan, Raghunathan Rengaswamy, Shankar Narasimhan, Venkat Venkatasubramanian

Comput. Chem. Eng., 2011

2010

Self-organised maps for online detection of faults in non-linear industrial processes.

M. Jeevan, Babji Srinivasan, Arun K. Tangirala

Int. J. Autom. Control., 2010

Source separation in systems with correlated sources using NMF.

S. Babji, Arun K. Tangirala

Digit. Signal Process., 2010

Stiction identification in nonlinear process control loops.

Ulaganathan Nallasivam, Babji Srinivasan, Raghunathan Rengaswamy

Comput. Chem. Eng., 2010

2009

Time-delay estimation in Closed-Loop Processes using Average Mutual Information Theory.

S. Babji, Arun K. Tangirala

Control. Intell. Syst., 2009

Detection and Quantification of Control Valve nonlinearities Using Hilbert-Huang Transform.

S. Babji, P. Gorai, Arun K. Tangirala

Adv. Data Sci. Adapt. Anal., 2009