Extents of Reaction and Mass Transfer in the Analysis of Chemical Reaction Systems. - Nirav P. Bhatt (2011)

Minimal state representation for open fluid-fluid reaction systems. - Nirav P. Bhatt; Michael Amrhein; Bala Srinivasan 001; Philippe Müllhaupt; Dominique Bonvin (ACC, 2012)

An LPV approach to performance modeling of a web server on a private cloud. - Saikrishna PS; Nirav P. Bhatt; Ramkrishna Pasumarthy (ACC, 2015)

Deconstructing principal component analysis using a data reconciliation perspective. - Shankar Narasimhan; Nirav P. Bhatt (Comput. Chem. Eng., 2015)

On Cooperative Behavior of Open Homogeneous Chemical Reaction Systems in the Extent Domain. - Nirav P. Bhatt; Sriniketh Srinivasan (CoRR, 2015)

A Novel Approach for Phase Identification in Smart Grids Using Graph Theory and Principal Component Analysis. - Satya Jayadev P.; Nirav P. Bhatt; Ramkrishna Pasumarthy (CoRR, 2015)

A novel approach for phase identification in smart grids using Graph Theory and Principal Component Analysis. - Satya Jayadev P.; Aravind Rajeswaran; Nirav P. Bhatt; Ramkrishna Pasumarthy (ACC, 2016)

Identifying Topology of Power Distribution Networks Based on Smart Meter Data. - Satya Jayadev P.; Nirav P. Bhatt; Ramkrishna Pasumarthy; Aravind Rajeswaran (CoRR, 2016)

A novel vehicle model for longitudinal motion analysis. - Subhadeep Kumar; Nirav P. Bhatt; Ramkrishna Pasumarthy (MED, 2017)

Identification and Multivariable Gain-Scheduling Control for Cloud Computing Systems. - Penamakuri Sesha Saikrishna; Ramkrishna Pasumarthy; Nirav P. Bhatt (IEEE Trans. Control. Syst. Technol., 2017)

Identifying Topology of Low Voltage Distribution Networks Based on Smart Meter Data. - Satya Jayadev P.; Nirav P. Bhatt; Ramkrishna Pasumarthy; Aravind Rajeswaran (IEEE Trans. Smart Grid, 2018)

A priori parameter identifiability in models with non-rational functions. - Rishabh Jain; Sridharakumar Narasimhan; Nirav P. Bhatt (Autom., 2019)

Learning Conserved Networks from Flows. - Satya Jayadev P.; Shankar Narasimhan; Nirav P. Bhatt (CoRR, 2019)

State Estimation for Non-linear Fully-implicit, Index-1 Differential Algebraic Equation Systems. - Neeraja Srinivasan; Nirav P. Bhatt; Sridharakumar Narasimhan (ACC, 2020)

Aided Selection of Sampling Methods for Imbalanced Data Classification. - Deep Sahni; Satya Jayadev Pappu; Nirav P. Bhatt (COMAD/CODS, 2021)

Predicting unknown directed links of conserved networks from flow data. - Satya Jayadev P.; Ramkrishna Pasumarthy; Nirav P. Bhatt (J. Complex Networks, 2021)

An Aggregated Dynamic Model of an Electronically Actuated ICE Powertrain. - Subhadeep Kumar; Ramkrishna Pasumarthy; Nirav P. Bhatt (IEEE Access, 2022)

End-to-end Autonomous Driving in Heterogeneous Traffic Scenario Using Deep Reinforcement Learning. - Soumyajit Chakraborty; Subhadeep Kumar; Nirav P. Bhatt; Ramkrishna Pasumarthy (ECC, 2023)

GAN-MPC: Training Model Predictive Controllers with Parameterized Cost Functions using Demonstrations from Non-identical Experts. - Returaj Burnwal; Anirban Santara; Nirav P. Bhatt; Balaraman Ravindran; Gaurav Aggarwal (CoRR, 2023)

Data-driven Model Predictive Control of Nanoparticle Production in Modular Reactors. - Rohan Saswade; Ganapavarapu Sai Tarun; Nirav P. Bhatt; Sridharakumar Narasimhan (ECC, 2024)