Vinay Prasad

Vinay Prasad

University of Alberta

H-index: 31

North America-Canada

About Vinay Prasad

Vinay Prasad, With an exceptional h-index of 31 and a recent h-index of 20 (since 2020), a distinguished researcher at University of Alberta, specializes in the field of Process control, systems engineering, reaction engineering, catalysis.

His recent articles reflect a diverse array of research interests and contributions to the field:

Protocol to identify biomarkers in patients with post-COVID condition using multi-omics and machine learning analysis of human plasma

Identification of reaction network hypotheses for complex feedstocks from spectroscopic measurements with minimal human intervention

3D Convolution neural network autoencoder for predicting solvent configuration changes in condensed phase biomass reactions

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

Double‐sensor conductivity probe applied in a flotation system

Dehydration of water-in-crude oil emulsions using polymeric demulsifiers: a model for water removal based on the viscoelastic properties of the oil–water interfacial film

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

How Can (or Why Should) Process Engineering Aid the Screening and Discovery of Solid Sorbents for CO2 Capture?

Vinay Prasad Information

University

Position

Professor Department of Chemical and Materials Engineering

Citations(all)

2957

Citations(since 2020)

1578

Cited By

1877

hIndex(all)

31

hIndex(since 2020)

20

i10Index(all)

68

i10Index(since 2020)

52

Email

University Profile Page

Google Scholar

Vinay Prasad Skills & Research Interests

Process control

systems engineering

reaction engineering

catalysis

Top articles of Vinay Prasad

Title

Journal

Author(s)

Publication Date

Protocol to identify biomarkers in patients with post-COVID condition using multi-omics and machine learning analysis of human plasma

STAR protocols

Mobin Khoramjoo

Karthik Srinivasan

Kaiming Wang

David Wishart

Vinay Prasad

...

2024/6/21

Identification of reaction network hypotheses for complex feedstocks from spectroscopic measurements with minimal human intervention

Karthik Srinivasan

Anjana Puliyanda

Vinay Prasad

2024/2/28

3D Convolution neural network autoencoder for predicting solvent configuration changes in condensed phase biomass reactions

Digital Discovery

Anjana Puliyanda

Arul Mozhi Devan Padmanathan

Samir Hemant Mushrif

Vinay Prasad

2024

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

Industrial & Engineering Chemistry Research

Fereshteh Sattari

Karthik Srinivasan

Anjana Puliyanda

Vinay Prasad

2023/3/7

Double‐sensor conductivity probe applied in a flotation system

The Canadian Journal of Chemical Engineering

Pedro Silva Aires

Artin Afacan

Qi Liu

Vinay Prasad

2023/11

Dehydration of water-in-crude oil emulsions using polymeric demulsifiers: a model for water removal based on the viscoelastic properties of the oil–water interfacial film

Fuel

Zuoli Li

Jessica Fuentes

Anirban Chakraborty

Edgar Zamora

Vinay Prasad

...

2023/1/15

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

Engineering Applications of Artificial Intelligence

Anjana Puliyanda

Karthik Srinivasan

Zukui Li

Vinay Prasad

2023/10/1

How Can (or Why Should) Process Engineering Aid the Screening and Discovery of Solid Sorbents for CO2 Capture?

Arvind Rajendran

Sai Gokul Subraveti

Kasturi Nagesh Pai

Vinay Prasad

Zukui Li

2023/8/22

Modelling temperature dynamics of the SAGD process in an oil reservoir by the discovery of parametric partial differential equations

The Canadian Journal of Chemical Engineering

Kiran Raviprakash

Ajay Ganesh

Biao Huang

Vinay Prasad

2023/7

Sequential multi-omics analysis identifies clinical phenotypes and predictive biomarkers for long COVID

Cell Reports Medicine

Kaiming Wang

Mobin Khoramjoo

Karthik Srinivasan

Paul MK Gordon

Rupasri Mandal

...

2023/11/21

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

Industrial & Engineering Chemistry Research

Sai Gokul Subraveti

Zukui Li

Vinay Prasad

Arvind Rajendran

2023/3/28

MACHINE LEARNING ANALYSIS OF LONG COVID MULTIOMICS REVEALS CLINICAL PHENOTYPES AND PROGNOSTIC BIOMARKERS

Canadian Journal of Diabetes

K Wang

M Khoramjoo

K Srinivasan

R Mandal

C Borchers

...

2023/11/1

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

Industrial & Engineering Chemistry Research

Sai Gokul Subraveti

Zukui Li

Vinay Prasad

Arvind Rajendran

2022/3/15

Automated generation of reaction network hypotheses for complex feedstocks

Karthik Srinivasan

Anjana Puliyanda

Vinay Prasad

2022/8/7

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

Anjana Puliyanda

Karthik Srinivasan

Kaushik Sivaramakrishnan

Vinay Prasad

2022/3/1

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

Computers & Chemical Engineering

Kiran Raviprakash

Biao Huang

Vinay Prasad

2022/8/1

State Estimation of a Flotation Column using Fundamental Dynamic Models

IFAC-PapersOnLine

Maryam Azhin

Pedro Silva-Aires

Khushaal Popli

Artin Afacan

Qi Liu

...

2022/1/1

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

Journal of Chromatography A

Sai Gokul Subraveti

Zukui Li

Vinay Prasad

Arvind Rajendran

2022/6/7

A Port Hamiltonian approach to dynamical chemical process systems network modeling and analysis

Chemical Engineering Science

Dereje Tamiru Tefera

Stevan Dubljevic

Vinay Prasad

2022/11/2

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

Separation and Purification Technology

Kasturi Nagesh Pai

Tai TT Nguyen

Vinay Prasad

Arvind Rajendran

2022/6/1

See List of Professors in Vinay Prasad University(University of Alberta)

Co-Authors

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