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  • Nirav Bhatt

Nirav Bhatt

Model maintenance, monitoring, and control framework using In-Situ NIR spectroscopy and offline process data for Lactococcus lactis fermentation
Modeling the Impact of Active HPV Testing Intervention on Cervical Cancer Burden in India
Characterizing the Effect of Volume on Hydrodynamics of Plant Cell Suspensions Using CFD Modeling
Characterizing the effect of impeller design in plant cell fermentations using CFD modeling
Rapid kinetic modelling of reaction systems from spectroscopic data in flow reactors
Vision-based Lane Detection in Scaled-Down Testbed: A Comprehensive Pipeline with Experimental Insights
A Priori Parameter Identifiability of Enzymatic Reaction Networks
Semi-supervised machine learning approach for reaction stoichiometry and kinetic model identification using spectral data from flow reactors
A noise mitigation approach for improving position estimate in indoor vehicle navigation using inertial measurement unit
A reactive species reactions module for integration into genome-scale metabolic models for improved insights: Application to cancer
End-to-end Autonomous Driving in Heterogeneous Traffic Scenario Using Deep Reinforcement Learning
Verification and Rectification of Error in Topology of Conserved Networks
Predicting unknown directed links of conserved networks from flow data
Human-in-the-loop for Safe and Verifiable Reinforcement Learning
Learning Mesh and Multiple Conserved Networks From Data
Online Data Analysis for Rapid Identification and Monitoring of Reaction Systems based on multi-sensor and multi-scale data
Aided Selection of Sampling Methods for Imbalanced Data Classification
State Estimation for Non–linear Fully-implicit, Index-1 Differential Algebraic Equation Systems
Thermodynamically consistent estimation of Gibbs free energy from data: data reconciliation approach
Learning Conserved Networks From Flows
Analysis of Experimental Conditions, Measurement Strategies, and Model Identification Approaches on Parameter Estimation in Plug Flow Reactors
Extraction of Pure Species Spectra from Labeled Mixture Spectral Data
Identifying Topology of Low Voltage Distribution Networks Based on Smart Meter Data
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