Nirav Bhatt
YOU?
Author Swipe
View article: ThermOptCobra: Thermodynamically optimal construction and analysis of metabolic networks for reliable phenotype predictions
ThermOptCobra: Thermodynamically optimal construction and analysis of metabolic networks for reliable phenotype predictions Open
View article: Genome-scale metabolic modelling identifies reactions mediated by SNP-SNP interactions associated with yeast sporulation
Genome-scale metabolic modelling identifies reactions mediated by SNP-SNP interactions associated with yeast sporulation Open
Genome-scale metabolic models (GEMs) are powerful tools used to understand the functional effects of genetic variants. However, the impact of single nucleotide polymorphisms (SNPs) in transcription factors and their interactions on metabol…
View article: Characterizing the effect of volume on hydrodynamics of plant cell suspensions using CFD modeling
Characterizing the effect of volume on hydrodynamics of plant cell suspensions using CFD modeling Open
View article: Characterizing the effect of impeller design in plant cell fermentations using CFD modeling
Characterizing the effect of impeller design in plant cell fermentations using CFD modeling Open
View article: Hybrid Encryption Approach for Securing Educational Data Using Attribute-Based Methods
Hybrid Encryption Approach for Securing Educational Data Using Attribute-Based Methods Open
View article: Characterizing the effect of impeller design in plant cell fermentations using CFD modeling
Characterizing the effect of impeller design in plant cell fermentations using CFD modeling Open
Cultivation of plant cell cultures in conventional bioreactors designed for microbial cells often results in the decrease of biomass productivity as compared to that in shake flasks, presumably due to the imbalance between the mass transfe…
View article: DEFT - A Scaled Electric Vehicle Platform for Testing Autonomous Driving Algorithm
DEFT - A Scaled Electric Vehicle Platform for Testing Autonomous Driving Algorithm Open
Scaled-down vehicles provide a controlled and repeatable environment for testing autonomous driving algorithms, expediting development while mitigating risks associated with full-scale vehicle testing. This paper introduces a meticulously …
View article: DEFT - A Scaled Electric Vehicle for Testing Autonomous Driving Algorithm
DEFT - A Scaled Electric Vehicle for Testing Autonomous Driving Algorithm Open
A Scaled-down vehicles provide a controlled and repeatable environment for testing autonomous driving algorithms, expediting development while mitigating risks associated with full-scale vehicle testing. This paper introduces a meticulousl…
View article: Electrical Safety and Power Management in Scaled-down Electric Vehicles
Electrical Safety and Power Management in Scaled-down Electric Vehicles Open
This paper details the intricacies in the design of power supplies for varied voltage and current requirements in scaled-down electric vehicle platforms. It includes the development of protective circuits safeguarding electrical and electr…
View article: Model Maintenance, Monitoring, and Control Framework for Bioprocesses Using Online and Offline Process Data: Modeling and Experimental Validation
Model Maintenance, Monitoring, and Control Framework for Bioprocesses Using Online and Offline Process Data: Modeling and Experimental Validation Open
View article: Investigating Mechanisms of Robust Perfect Adaptation in Cancer Metabolisms Using Chemical Reaction Network Theory
Investigating Mechanisms of Robust Perfect Adaptation in Cancer Metabolisms Using Chemical Reaction Network Theory Open
View article: A Priori Parameter Identifiability of Enzymatic Reaction Networks
A Priori Parameter Identifiability of Enzymatic Reaction Networks Open
View article: SINDy-CRN: Sparse Identification of Chemical Reaction Networks from Data
SINDy-CRN: Sparse Identification of Chemical Reaction Networks from Data Open
This work considers an important problem of identifying the dynamics of chemical reaction networks from time-series data. We propose an approach to identify complex chemical reaction networks (CRN) from concentration data using the concept…
View article: DEFT - A Scaled Electric Vehicle for Testing Autonomous Driving Algorithm
DEFT - A Scaled Electric Vehicle for Testing Autonomous Driving Algorithm Open
Scaled-down vehicles provide a controlled and repeatable environment for testing autonomous driving algorithms, expediting development while mitigating risks associated with full-scale vehicle testing. This paper introduces a meticulously…
View article: DEFT - A Scaled Electric Vehicle for Testing Autonomous Driving Algorithm
DEFT - A Scaled Electric Vehicle for Testing Autonomous Driving Algorithm Open
Scaled-down vehicles provide a controlled and repeatable environment for testing autonomous driving algorithms, expediting development while mitigating risks associated with full-scale vehicle testing. This paper introduces a meticulously…
View article: Localgini: A method for harnessing inequality in gene expression to improve the quality of context-specific models
Localgini: A method for harnessing inequality in gene expression to improve the quality of context-specific models Open
Genome-scale metabolic models (GEMs) are valuable tools for investigating normal and disease phenotypes of biological systems through the prediction of fluxes in biochemical reactions. However, in specific contexts such as different cell l…
View article: Genome-Scale Metabolic Modeling Identifies Causal Reactions Mediated by SNP-SNP Interactions Influencing Yeast Sporulation
Genome-Scale Metabolic Modeling Identifies Causal Reactions Mediated by SNP-SNP Interactions Influencing Yeast Sporulation Open
Understanding how genetic variations influence cellular function remains a major challenge in genetics. Genome-scale metabolic models (GEMs) are powerful tools used to understand the functional effects of genetic variants. While GEMs have …
View article: GAN-MPC: Training Model Predictive Controllers with Parameterized Cost Functions using Demonstrations from Non-identical Experts
GAN-MPC: Training Model Predictive Controllers with Parameterized Cost Functions using Demonstrations from Non-identical Experts Open
Model predictive control (MPC) is a popular approach for trajectory optimization in practical robotics applications. MPC policies can optimize trajectory parameters under kinodynamic and safety constraints and provide guarantees on safety,…
View article: Shape–Constrained Moving Horizon Estimators for Reaction Systems
Shape–Constrained Moving Horizon Estimators for Reaction Systems Open
In reaction systems, state estimators are used to improve the quality of estimates using measurements and process models with the number of moles or concentrations as states. The model of reaction systems can be reformulated in the extent …
View article: Modeling Reactive Species Metabolism in Colorectal Cancer for Identifying Metabolic Targets and Devising Therapeutics
Modeling Reactive Species Metabolism in Colorectal Cancer for Identifying Metabolic Targets and Devising Therapeutics Open
Reactive species (RS) are known to play significant roles in cancer development as well as in treating or managing cancer. On the other hand, genome scale metabolic models are being used to understand cell metabolism in disease contexts in…
View article: Verification and Rectification of Error in Topology of Conserved Networks
Verification and Rectification of Error in Topology of Conserved Networks Open
The knowledge of the underlying topology is essential for understanding and manipulating power grids, water distribution networks, biological networks. At times, the topology may be reported (or recorded) erroneously, mostly owing to human…
View article: An Aggregated Dynamic Model of an Electronically Actuated ICE Powertrain
An Aggregated Dynamic Model of an Electronically Actuated ICE Powertrain Open
Electronically actuated systems in internal combustion engine (ICE) vehicles provide an opportunity for introducing partial autonomy in these vehicles. Controllers for total or partial autonomy of vehicle motion necessitate models of vehic…
View article: Incremental Model Identification of Bio-processes from Data: Application to Microbial Production of Hyaluronic Acid
Incremental Model Identification of Bio-processes from Data: Application to Microbial Production of Hyaluronic Acid Open
The development of reliable kinetic models of bioprocesses from data is a challenging task. In this work, a systematic approach to develop a kinetic model of bioprocess involving single biomass from concentration data is proposed without i…
View article: Sequential recovery of metals from waste printed circuit boards using a zero-discharge hydrometallurgical process
Sequential recovery of metals from waste printed circuit boards using a zero-discharge hydrometallurgical process Open
View article: Performance Analysis of Activation Functions for Wheat Crop Yield Prediction
Performance Analysis of Activation Functions for Wheat Crop Yield Prediction Open
Activation function (AF) plays a vital role in the neural network. This research study focuses on the performance evaluation of the various AFs in multilayer perceptron (MLP) algorithm for the wheat crop yield prediction at the regional le…
View article: Thermodynamically consistent estimation of Gibbs free energy from data: data reconciliation approach
Thermodynamically consistent estimation of Gibbs free energy from data: data reconciliation approach Open
Motivation Thermodynamic analysis of biological reaction networks requires the availability of accurate and consistent values of Gibbs free energies of reaction and formation. These Gibbs energies can be measured directly via the careful d…
View article: Learning Conserved Networks from Flows
Learning Conserved Networks from Flows Open
A challenging problem in complex networks is the network reconstruction problem from data. This work deals with a class of networks denoted as conserved networks, in which a flow associated with every edge and the flows are conserved at al…
View article: Thermodynamically Consistent Estimation of Gibbs Free Energy from Data: Data Reconciliation Approach
Thermodynamically Consistent Estimation of Gibbs Free Energy from Data: Data Reconciliation Approach Open
Motivation Thermodynamic analysis of biological reaction networks requires the availability of accurate and consistent values of Gibbs free energies of reaction and formation. These Gibbs energies can be measured directly via the careful d…
View article: An Algorithm for Integer Least-squares with Equality, Sparsity and Rank Constraints
An Algorithm for Integer Least-squares with Equality, Sparsity and Rank Constraints Open
In this work, we deal with rank-constrained integer least-squares optimization problems arising in low-rank matrix factorization related applications. We propose a solution for constrained integer least-squares problem subject to equality,…
View article: An Algorithm for Integer Least-squares with Equality, Sparsity and Rank\n Constraints
An Algorithm for Integer Least-squares with Equality, Sparsity and Rank\n Constraints Open
In this work, we deal with rank-constrained integer least-squares\noptimization problems arising in low-rank matrix factorization related\napplications. We propose a solution for constrained integer least-squares\nproblem subject to equali…