World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
44
Citations
7861
World Ranking
5791
National Ranking
1620

Overview

Jose M. Pinto is affiliated with Linde in the United States and has contributed significantly to the fields of engineering, biochemistry, genetics and molecular biology, and business, management and accounting. Their research spans a variety of subfields including control and systems engineering, molecular biology, industrial and manufacturing engineering, strategy and management, and management information systems.

The scientist's published work primarily focuses on topics such as process optimization and integration, supply chain and inventory management, sustainable supply chain management, advanced control systems optimization, viral infectious diseases and gene expression in insects, microbial metabolic engineering and bioproduction, and vehicle routing optimization methods.

They have published extensively in journals such as Computers & Chemical Engineering, Biotechnology and Bioengineering, Industrial & Engineering Chemistry Research, Optimization and Engineering, and Digital Chemical Engineering. Their frequent publication venues include:

  • Computers & Chemical Engineering
  • Biotechnology and Bioengineering
  • Industrial & Engineering Chemistry Research
  • Optimization and Engineering
  • Digital Chemical Engineering

Jose M. Pinto's recent research articles include the following:

  • A general deep hybrid model for bioreactor systems: Combining first principles with deep neural networks, 2022, Computers & Chemical Engineering
  • A General Hybrid Modeling Framework for Systems Biology Applications: Combining Mechanistic Knowledge with Deep Neural Networks under the SBML Standard, 2023, AI

Additional works coauthored within the scientific community cover topics such as robust multiperiod vehicle routing under customer order uncertainty and integrated production and inventory routing planning of oxygen supply chains.

The scientist has collaborated regularly with several coauthors, including:

  • Lazaros G. Papageorgiou
  • Rui Oliveira
  • Rafael S. Costa
  • Vassilis M. Charitopoulos
  • João R. C. Ramos

Best Publications

  • PLANNING AND SCHEDULING MODELS FOR REFINERY OPERATIONS

    J.M. Pinto;M. Joly;L.F.L. Moro;L.F.L. Moro

  • Mixed-Integer Linear Programming Model for Refinery Short-Term Scheduling of Crude Oil Unloading with Inventory Management

    Heeman Lee;Jose M. Pinto;Ignacio E. Grossmann;Sunwon Park

  • A Continuous Time Mixed Integer Linear Programming Model for Short Term Scheduling of Multistage Batch Plants

    Jose M. Pinto;Ignacio E. Grossmann

  • A general modeling framework for the operational planning of petroleum supply chains

    Sérgio M. S. Neiro;José Mauricio Pinto;José Mauricio Pinto

  • Optimal production planning under time-sensitive electricity prices for continuous power-intensive processes

    Sumit Mitra;Ignacio E. Grossmann;José Mauricio Pinto;Nikhil Arora

  • Scheduling of a multiproduct pipeline system

    R. Rejowski;José Mauricio Pinto

  • Assignment and sequencing models for thescheduling of process systems

    José Mauricio Pinto;Ignacio E. Grossmann

  • Modeling of plate heat exchangers with generalized configurations

    Jorge Andrey Wilhelms Gut;José Maurício Pinto

  • Optimal cyclic scheduling of multistage continuous multiproduct plants

    J.M. Pinto;I.E. Grossmann

  • Optimal configuration design for plate heat exchangers

    Jorge A.W. Gut;José M. Pinto

  • Air separation with cryogenic energy storage: Optimal scheduling considering electric energy and reserve markets

    Qi Zhang;Ignacio E. Grossmann;Clara F. Heuberger;Arul Sundaramoorthy

  • A novel continuous time representation for the scheduling of pipeline systems with pumping yield rate constraints

    R. Rejowski;José Mauricio Pinto

  • A PLANNING MODEL FOR REFINERY DIESEL PRODUCTION

    L.F.L. Moro;A.C. Zanin;J.M. Pinto

  • Mixed-Integer Programming Approach for Short-Term Crude Oil Scheduling

    Lincoln F. L. Moro† and;José M. Pinto

  • Efficient MILP formulations and valid cuts for multiproduct pipeline scheduling

    R. Rejowski;José Mauricio Pinto;José Mauricio Pinto

  • Planning and scheduling for petroleum refineries using mathematical programming

    Marcel Joly;Lincoln Fernando Lautenschlager Moro;Lincoln Fernando Lautenschlager Moro;José Maurício Pinto

  • Optimal multi-scale capacity planning for power-intensive continuous processes under time-sensitive electricity prices and demand uncertainty. Part I: Modeling

    Sumit Mitra;José Mauricio Pinto;Ignacio E. Grossmann

  • An adjustable robust optimization approach to scheduling of continuous industrial processes providing interruptible load

    Qi Zhang;Michael F. Morari;Ignacio E. Grossmann;Arul Sundaramoorthy

  • Thermal model validation of plate heat exchangers with generalized configurations

    Jorge A.W. Gut;Renato Fernandes;José M. Pinto;Carmen C. Tadini

  • A mechanistic kinetic model for phenol degradation by the Fenton process.

    Ricardo F.F. Pontes;José E.F. Moraes;Amilcar Machulek;José M. Pinto

  • Multiperiod Optimization for Production Planning of Petroleum Refineries

    Sérgio M. S. Neiro;José M. Pinto

Frequent Co-Authors

Ignacio E. Grossmann
Ignacio E. Grossmann Carnegie Mellon University
Lazaros G. Papageorgiou
Lazaros G. Papageorgiou University College London
Christos T. Maravelias
Christos T. Maravelias Princeton University
Fengqi You
Fengqi You Cornell University
Ana Paula Barbosa-Póvoa
Ana Paula Barbosa-Póvoa Instituto Superior Técnico

External Links

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Best Scientists Citing Jose M. Pinto

Trending Scientists