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A Food-Energy-Water Nexus approach for land use optimization

The Science of the total environment, 2019-04, Vol.659, p.7-19

2019

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A rolling horizon optimization framework for the simultaneous energy supply and demand planning in microgrids

Applied energy, 2015-10, Vol.155, p.485-501

2015

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Sustainable ammonia production through process synthesis and global optimization

AIChE journal, 2019-07, Vol.65 (7), p.n/a

2019

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Big data approach to batch process monitoring: Simultaneous fault detection and diagnosis using nonlinear support vector machine-based feature selection

Computers & chemical engineering, 2018-07, Vol.115, p.46-63

2018

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An improved algorithm for flux variability analysis

BMC bioinformatics, 2022-12, Vol.23 (1), p.550-550, Article 550

2022

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A Neural Network Based Superstructure Optimization Approach to Reverse Osmosis Desalination Plants

Membranes (Basel), 2022-02, Vol.12 (2), p.199

2022

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Modelling Optimization and Control of Biomedical Systems

1, 2018

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Grouping of complex substances using analytical chemistry data: A framework for quantitative evaluation and visualization

PloS one, 2019-10, Vol.14 (10), p.e0223517

2019

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A framework to predict the price of energy for the end-users with applications to monetary and energy policies

Nature communications, 2021-01, Vol.12 (1), p.18-18, Article 18

2021

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Classification of estrogenic compounds by coupling high content analysis and machine learning algorithms

PLoS computational biology, 2020-09, Vol.16 (9), p.e1008191

2020

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Operability and control in process intensification and modular design: Challenges and opportunities

AIChE journal, 2021-05, Vol.67 (5), p.n/a

2021

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Advanced control strategies for the multicolumn countercurrent solvent gradient purification process

AIChE journal, 2016-07, Vol.62 (7), p.2341-2357

2016

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Data-driven optimization of mixed-integer bi-level multi-follower integrated planning and scheduling problems under demand uncertainty

Computers & chemical engineering, 2022-01, Vol.156 (C), p.107551, Article 107551

2022

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Improving embryonic stem cell expansion through the combination of perfusion and Bioprocess model design

PloS one, 2013-12, Vol.8 (12), p.e81728

2013

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Circular Economy - A challenge and an opportunity for Process Systems Engineering

Computers & chemical engineering, 2020-02, Vol.133 (C), p.106629, Article 106629

2020

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Synthesis of Operable Process Intensification SystemsSteady‑State Design with Safety and Operability Considerations

Industrial & engineering chemistry research, 2019-04, Vol.58 (15), p.6049-6068

2019

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A systems engineering framework for the optimization of food supply chains under circular economy considerations

The Science of the total environment, 2021-11, Vol.794 (C), p.148726-148726, Article 148726

2021

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A nonlinear support vector machine‐based feature selection approach for fault detection and diagnosis: Application to the Tennessee Eastman process

AIChE journal, 2019-03, Vol.65 (3), p.992-1005

2019

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A Multi-Parametric optimization approach for bilevel mixed-integer linear and quadratic programming problems

Computers & chemical engineering, 2019-06, Vol.125 (C), p.98-113

2019

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Optimal design of energy systems using constrained grey-box multi-objective optimization

Computers & chemical engineering, 2018-08, Vol.116, p.488-502

2018

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Integrated process design, scheduling, and model predictive control of batch processes with closed‐loop implementation

AIChE journal, 2020-10, Vol.66 (10), p.n/a

2020

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HY-POP: Hyperparameter optimization of machine learning models through parametric programming

Computers & chemical engineering, 2020-08, Vol.139, p.106902, Article 106902

2020

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Process design and control optimization: A simultaneous approach by multi‐parametric programming

AIChE journal, 2017-11, Vol.63 (11), p.4827-4846

2017

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Smart manufacturing and energy systems

Computers & chemical engineering, 2018-06, Vol.114 (C), p.130-144

2018

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Integrated process design, scheduling, and control using multiparametric programming

Computers & chemical engineering, 2019-06, Vol.125, p.164-184

2019

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A Food-Energy-Water Nexus approach for land use optimization

A rolling horizon optimization framework for the simultaneous energy supply and demand planning in microgrids

Sustainable ammonia production through process synthesis and global optimization

Big data approach to batch process monitoring: Simultaneous fault detection and diagnosis using nonlinear support vector machine-based feature selection

An improved algorithm for flux variability analysis

A Neural Network Based Superstructure Optimization Approach to Reverse Osmosis Desalination Plants

Modelling Optimization and Control of Biomedical Systems

Grouping of complex substances using analytical chemistry data: A framework for quantitative evaluation and visualization

A framework to predict the price of energy for the end-users with applications to monetary and energy policies

Classification of estrogenic compounds by coupling high content analysis and machine learning algorithms

Operability and control in process intensification and modular design: Challenges and opportunities

Advanced control strategies for the multicolumn countercurrent solvent gradient purification process

Data-driven optimization of mixed-integer bi-level multi-follower integrated planning and scheduling problems under demand uncertainty

Improving embryonic stem cell expansion through the combination of perfusion and Bioprocess model design

Circular Economy - A challenge and an opportunity for Process Systems Engineering

Synthesis of Operable Process Intensification SystemsSteady‑State Design with Safety and Operability Considerations

A systems engineering framework for the optimization of food supply chains under circular economy considerations

A nonlinear support vector machine‐based feature selection approach for fault detection and diagnosis: Application to the Tennessee Eastman process

A Multi-Parametric optimization approach for bilevel mixed-integer linear and quadratic programming problems

Optimal design of energy systems using constrained grey-box multi-objective optimization

Integrated process design, scheduling, and model predictive control of batch processes with closed‐loop implementation

HY-POP: Hyperparameter optimization of machine learning models through parametric programming

Process design and control optimization: A simultaneous approach by multi‐parametric programming

Smart manufacturing and energy systems

Integrated process design, scheduling, and control using multiparametric programming

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