Piyush Agarwal

Employment

• Sartorius Stedim North America Inc Research Scientist

Education

• University of Waterloo PhD
  2018 - Present
• Indian Institute of Technology Madras MS
  2015 - 2017

Projects & Funding

Projects & funding information is unavailable.

Publications (12)

• Hierarchical Deep LSTM for Fault Detection and Diagnosis for a Chemical Process
  Processes 2022 DOI: 10.3390/pr10122557
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• Model-based intensification of CHO cell cultures: One-step strategy from fed-batch to perfusion
  Frontiers in Bioengineering and Biotechnology 2022 DOI: 10.3389/fbioe.2022.948905
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• Model-based intensification of CHO cell cultures: one-step strategy from fed-batch to perfusion
  [] 2022 DOI: 10.1101/2022.05.19.492635
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• Design and Optimization of a Penicillin Fed-Batch Reactor Based on a Deep Learning Fault Detection and Diagnostic Model
  Industrial & Engineering Chemistry Research 2022 DOI: 10.1021/acs.iecr.1c04534
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• A novel unsupervised approach for batch process monitoring using deep learning
  Computers & Chemical Engineering 2022 DOI: 10.1016/j.compchemeng.2022.107694
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• Explainability: Relevance based dynamic deep learning algorithm for fault detection and diagnosis in chemical processes
  Computers & Chemical Engineering 2021 DOI: 10.1016/j.compchemeng.2021.107467
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• Assessing Observability using Supervised Autoencoders with Application to Tennessee Eastman Process
  IFAC-PapersOnLine 2020 DOI: 10.1016/j.ifacol.2020.12.122
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• Hierarchical Deep Recurrent Neural Network based Method for Fault Detection and Diagnosis
  2020 DOI: 10.48550/ARXIV.2012.03861
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• Classification of profit-based operating regions for the Tennessee Eastman Process using deep learning methods
  IFAC-PapersOnLine 2019 DOI: 10.1016/j.ifacol.2019.06.121
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• Deep Learning for Classification of Profit-Based Operating Regions in Industrial Processes
  Industrial and Engineering Chemistry Research 2019 DOI: 10.1021/acs.iecr.9b04737
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