V. Prasad

发表

Product property and production rate control of styrene polymerization

B. Bequette, V. Prasad, M. Schley, 2002 .

Real-time monitoring of entrainment using fundamental models and froth images

V. Prasad, K. Popli, A. Afacan, 2018, Minerals Engineering.

Catalytic materials and chemistry development using a synergistic combination of machine learning and ab initio methods

V. Prasad, Nilesh Varadan Orupattur, S. H. Mushrif, 2020 .

Robust design of catalysts using stochastic nonlinear optimization

V. Prasad, J. M. Lee, Chang Jun Lee, 2011, 2011 International Symposium on Advanced Control of Industrial Processes (ADCONIP).

Dynamic analysis and linear control strategies for proton exchange membrane fuel cell using a distributed parameter model

Ravindra D. Gudi, Vinay Prasad, Ravi Methekar, 2007 .

Modeling and simulation of atomic layer deposition at the feature scale

V. Prasad, T. Cale, M. Gobbert, 2002 .

Predictive modeling of atomic layer deposition on the feature scale

V. Prasad, T. Cale, M. Gobbert, 2002 .

Real‐time feedback control of SAGD wells using model predictive control to optimize steam chamber development under uncertainty

Rajan G. Patel, V. Prasad, Shiv S. Vembadi, 2018 .

Practical issues in state estimation using particle filters: Case studies with polymer reactors

Sirish L. Shah, Vinay Prasad, Arjun Shenoy, 2013 .

Gaussian Mixture Model-Based Ensemble Kalman Filtering for State and Parameter Estimation for a PMMA Process

Biao Huang, Vinay Prasad, Ruoxia Li, 2016 .

Practical issues in the application of the particle filter for estimation of chemical processes

Sirish L. Shah, V. Prasad, J. Prakash, 2011 .

Inequality constrained parameter estimation using filtering approaches

V. Prasad, Biao Huang, Xiongtan Yang, 2014 .

Data fusion by joint non-negative matrix factorization for hypothesizing pseudo-chemistry using Bayesian networks

Zukui Li, Arno de Klerk, Vinay Prasad, 2020, Reaction Chemistry & Engineering.

Robust optimization of the production profile of the steam assisted gravity drainage reservoir using a polynomial chaos expansion-based proxy model

J. Trivedi, V. Prasad, R. Chalaturnyk, 2018, 2018 18th International Conference on Control, Automation and Systems (ICCAS).

Development of a multiscale microbial kinetics coupled gas transport model for the simulation of biogenic coalbed methane production

V. Prasad, I. Gates, Gouthami Senthamaraikkannan, 2016 .

Robust design of experiments using constrained stochastic optimization

V. Prasad, K. Popli, 2015 .

Visbreaking oilsands-derived bitumen in the temperature range of 340–400 °C

V. Prasad, A. Klerk, Shao-feng Yang, 2014 .

Strain and factor selection for carbon dioxide fixation using microalgae cultivated in oil sands process water

V. Prasad, A. Ulrich, Sepideh Kasiri, 2015 .

A Port Hamiltonian Approach to Dynamic Chemical Process Systems Network Modeling and Analysis

V. Prasad, S. Dubljevic, D. Tefera, 2022, Chemical Engineering Science.

Sample‐based approaches to decision making problems under uncertainty

V. Prasad, J. M. Lee, Chang Jun Lee, 2012 .

A hybrid modelling approach to model process dynamics by the discovery of a system of partial differential equations

V. Prasad, K. Raviprakash, Biao Huang, 2022, Comput. Chem. Eng..

The Factor of Safety-Constrained Model Predictive Controller Design for Closed-Loop Reservoir Management

V. Prasad, R. Chalaturnyk, A. Ganesh, 2022, 2022 IEEE International Symposium on Advanced Control of Industrial Processes (AdCONIP).

Real-time monitoring of reaction mechanisms from spectroscopic data using hidden semi-Markov models for mode identification

V. Prasad, Zukui Li, Anjana Puliyanda, 2022, Journal of Process Control.

Optimization of CO2 fixation by Chlorella kessleri using response surface methodology

V. Prasad, A. Ulrich, Sepideh Kasiri, 2015 .

Modeling and simulation of plasma enhanced processing for integrated circuit fabrication

V. Prasad, T. Cale, Hong Liang, 2002 .

A Bayesian Learning Approach to Modeling Pseudoreaction Networks for Complex Reacting Systems: Application to the Mild Visbreaking of Bitumen

V. Prasad, R. Ranjan, A. Klerk, 2017 .

Development of online soft sensors and dynamic fundamental model-based process monitoring for complex sulfide ore flotation

Artin Afacan, Vinay Prasad, Qi Liu, 2018, Minerals Engineering.

Kinetic modeling and optimization of carbon dioxide fixation using microalgae cultivated in oil-sands process water

Vinay Prasad, Sepideh Kasiri, Ania C. Ulrich, 2015 .

Conversion of CO2 over a Co-Based Fischer–Tropsch Catalyst

V. Prasad, W. Shafer, M. K. Gnanamani, 2015 .

Suppression of Coke Formation during Bitumen Pyrolysis

V. Prasad, A. Klerk, Shao-feng Yang, 2013 .

Correlating particle size and shape of supported Ru/gamma-Al2O3 catalysts with NH3 decomposition activity.

V. Prasad, A. Frenkel, D. Vlachos, 2009, Journal of the American Chemical Society.

Proxy Modeling of the Production Profiles of SAGD Reservoirs Based on System Identification

Vinay Prasad, V. Prasad, Song Yao, 2015 .

A Perspective on the Impact of Process Systems Engineering on Reaction Engineering

Ajay Ganesh, Kaushik Sivaramakrishnan, Anjana Puliyanda, 2019, Industrial & Engineering Chemistry Research.

Effect of Cu and Zn ion-exchange locations on mordenite performance in dimethyl ether carbonylation

V. Prasad, Natalia Semagina, A. A. Reule, 2018, Microporous and Mesoporous Materials.

A data-driven approach to generate pseudo-reaction sequences for the thermal conversion of Athabasca bitumen

V. Prasad, A. Klerk, Anjana Puliyanda, 2021 .

Kinetic Modeling of the Biogenic Production of Coalbed Methane

V. Prasad, I. Gates, S. Mitra, 2016 .

Development of a vision‐based online soft sensor for oil sands flotation using support vector regression and its application in the dynamic monitoring of bitumen extraction

Artin Afacan, Vinay Prasad, Qi Liu, 2018 .

Machine Learning-Based Multiobjective Optimization of Pressure Swing Adsorption

Zukui Li, Arvind Rajendran, Vinay Prasad, 2019, Industrial & Engineering Chemistry Research.

Proxy models for caprock pressure and temperature dynamics during steam-assisted gravity drainage process

Jun Xiong, Vinay Prasad, Ajay Ganesh, 2019, Comput. Chem. Eng..

Harnessing the power of machine learning for carbon capture, utilisation, and storage (CCUS) – A state-of-the-art review

V. Prasad, Yongliang Yan, Meihong Wang, 2021, Energy & Environmental Science.

Experimental validation of an adsorbent-agnostic artificial neural network (ANN) framework for the design and optimization of cyclic adsorption processes

Kasturi Nagesh Pai, V. Prasad, A. Rajendran, 2021, Separation and Purification Technology.

Physics-based neural networks for simulation and synthesis of cyclic adsorption processes

Sai Gokul Subraveti, V. Prasad, Zukui Li, 2021, Industrial & Engineering Chemistry Research.

Control of proton exchange membrane fuel cells using data driven state space models

Raghunathan Rengaswamy, Sachin C. Patwardhan, Ravindra D. Gudi, 2010 .

Fischer–Tropsch Mechanism: 13C18O Tracer Studies on a Ceria–Silica Supported Cobalt Catalyst and a Doubly Promoted Iron Catalyst

V. Prasad, W. Shafer, B. Davis, 2015 .

Structure-Preserving Joint Non-negative Tensor Factorization to Identify Reaction Pathways Using Bayesian Networks

Zukui Li, Arno de Klerk, Vinay Prasad, 2021, J. Chem. Inf. Model..

Case Study Projects in an Undergraduate Process Control Course

B. Wayne Bequette, Vinay Prasad, Venkatesh Natarajan, 1998 .

Parameter estimation for nonlinear systems with multirate measurements and random delays

Vinay Prasad, Yousef Salehi, Biao Huang, 2021 .

Correlating Particle Size and Shape of Supported Ru / γ-Al 2 O 3 Catalysts with NH 3 Decomposition Activity

V. Prasad, A. Frenkel, D. Vlachos, 2009 .

Self-Modeling Multivariate Curve Resolution Model for Online Monitoring of Bitumen Conversion Using Infrared Spectroscopy

V. Prasad, A. Klerk, D. Tefera, 2017 .

Can a Computer “Learn” Nonlinear Chromatography?: Experimental Validation of Physics-Based Deep Neural Networks for the Simulation of Chromatographic Processes

Sai Gokul Subraveti, V. Prasad, Zukui Li, 2023, Industrial & Engineering Chemistry Research.

Can a computer "learn" nonlinear chromatography?: Physics-based deep neural networks for simulation and optimization of chromatographic processes.

Sai Gokul Subraveti, V. Prasad, Zukui Li, 2022, Journal of chromatography. A.

Chemoinformatic Investigation of the Chemistry of Cellulose and Lignin Derivatives in Hydrous Pyrolysis

V. Prasad, S. H. Mushrif, Kaushik Sivaramakrishnan, 2020 .

Nonlinear system identification and model reduction using artificial neural networks

B. Wayne Bequette, Vinay Prasad, B. Bequette, 2003, Comput. Chem. Eng..

Effect of multiscale model uncertainty on identification of optimal catalyst properties

Zachary W. Ulissi, Vinay Prasad, Dionisios G. Vlachos, 2011 .

A review of automated and data-driven approaches for pathway determination and reaction monitoring in complex chemical systems

V. Prasad, Karthik Srinivasan, Kaushik Sivaramakrishnan, 2021, Digital Chemical Engineering.

Generalized, Adsorbent-Agnostic, Artificial Neural Network Framework for Rapid Simulation, Optimization, and Adsorbent Screening of Adsorption Processes

Arvind Rajendran, Kasturi Nagesh Pai, Vinay Prasad, 2020 .

Assessment of Overall Rate Expressions and Multiscale, Microkinetic Model Uniqueness via Experimental Data Injection: Ammonia Decomposition on Ru/γ-Al2O3 for Hydrogen Production

Vinay Prasad, Dionisios G. Vlachos, Ayman M. Karim, 2009 .

Practically Achievable Process Performance Limits for Pressure-Vacuum Swing Adsorption-Based Postcombustion CO2 Capture

Kasturi Nagesh Pai, V. Prasad, A. Rajendran, 2020, ACS Sustainable Chemistry & Engineering.

Uncertainty quantification of the factor of safety in a steam-assisted gravity drainage process through polynomial chaos expansion

Vinay Prasad, Bo Zhang, Ajay Ganesh, 2020, Comput. Chem. Eng..

Multiphase reactive-transport simulations for estimation and robust optimization of the field scale production of microbially enhanced coalbed methane

V. Prasad, I. Gates, Gouthami Senthamaraikkannan, 2016 .

In situ biodegradation of naphthenic acids in oil sands tailings pond water using indigenous algae-bacteria consortium.

Ania C. Ulrich, V. Prasad, Yang Liu, 2015, Bioresource technology.

Data‐driven hypotheses of reaction networks for thermochemical conversion of a physical mixture of levoglucosan and 2‐phenoxyethyl benzene

V. Prasad, Fereshteh Sattari, 2021 .

Benchmarking chemical neural ordinary differential equations to obtain reaction network-constrained kinetic models from spectroscopic data

V. Prasad, Zukui Li, Karthik Srinivasan, 2023, Engineering Applications of Artificial Intelligence.

Intra-operator and inter-operator reliability, and CT scan repeatability in 3D modelling of talus bone using CT imaging

Samer Adeeb, Marwan El-Rich, Sukhvinder Dhillon, 2017, Comput. methods Biomech. Biomed. Eng. Imaging Vis..

Experimentally validated machine learning frameworks for accelerated prediction of cyclic steady state and optimization of pressure swing adsorption processes

Arvind Rajendran, Vinay Prasad, Kasturi Nagesh Pai, 2020 .

Graph-based determination of structural controllability and observability for pressure and temperature dynamics during steam-assisted gravity drainage operation

Rick Chalaturnyk, Zixuan Li, Vinay Prasad, 2020 .

Data Fusion-Based Approach for the Investigation of Reaction Networks in Hydrous Pyrolysis of Biomass

V. Prasad, K. Srinivasan, Fereshteh Sattari, 2023, Industrial & Engineering Chemistry Research.

Study of the step coverage and contact resistance by using two-step TiN barrier and evolve simulation

V. Prasad, T. Cale, T. Gandy, 2005, IEEE transactions on semiconductor manufacturing.

Stochastic proxy modelling for coalbed methane production using orthogonal polynomials

V. Prasad, I. Gates, Gouthami Senthamaraikkannan, 2015 .

Least Squares-Support Vector Regression for Determining Product Concentrations in Acid-Catalyzed Propylene Oligomerization

V. Prasad, Jinjun Nie, Kaushik Sivaramakrishnan, 2018, Industrial & Engineering Chemistry Research.

A Bayesian learning and data mining approach to reaction system identification: Application to biomass conversion

Vinay Prasad, Dereje Tamiru Tefera, Amo de Klerk, 2017, 2017 6th International Symposium on Advanced Control of Industrial Processes (AdCONIP).

Chapter 13 – Transport Fuel – LNG and Methane

Vinay Prasad, Gouthami Senthamaraikkannan, Debanjan Chakrabarti, 2014 .

Experiment design, identification and control in large-scale chemical processes

Sachin C. Patwardhan, Vinay Prasad, Siddhartha Kumar, 2010, Proceedings of the 2010 International Conference on Modelling, Identification and Control.

Experimental evaluation of linear model based control strategies for PEMFCs

R. Rengaswamy, S. C. Patwardhan, R. N. Methekar, 2009, 2009 American Control Conference.

Modeling, estimation and optimization in coreflooding experiments for coalbed methane production ☆

Vinay Prasad, Ian D. Gates, Gouthami Senthamaraikkannan, 2016 .

A model predictive formulation for control of open-loop unstable cascade systems

B. Wayne Bequette, Vinay Prasad, Deepak Nagrath, 2002 .

High throughput multiscale modeling for design of experiments, catalysts, and reactors: Application to hydrogen production from ammonia

Dionisios G. Vlachos, Zachary W. Ulissi, Vinay Prasad, 2010 .