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João Cabaço Antunes. Completed the Mestrado integrado in Mestrado Integrado em Engenharia Química e Bioquímica in 2018/09/24 by Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia. Published an article in Elsevier's Journal of Chromatography A. Has contributed to a book chapter: Modeling and optimization of bioreactor processes. Participated in 3 events, including the organization of an international summer school event. Works in the area of Engineering and Technology with emphasis on Chemical Engineering. I have a wide array of knowledge, focusing mostly on the use of computer programming applied to chemical and biochemical engineering, with a good understanding of the Python, MATLAB, Julia and SQL programming languages. I additionally have some experience teaching university classes and in the field of 3D printing. My previous work has included the development of a software tool in Julia to control a custom built simulated moving bed chromatography unit as well as developing and researching the dynamic optimization of hybrid models for bioprocess development using MATLAB and Python.
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Identification

Personal identification

Full name
João Cabaço Antunes

Citation names

  • Antunes, João
  • João C. Antunes

Author identifiers

Ciência ID
2B1E-2D90-A05F
ORCID iD
0000-0001-6232-1377

Email addresses

  • jc.antunes@campus.fct.unl.pt (Professional)

Telephones

Mobile phone
  • (+351) 914753961 (Personal)

Addresses

  • Rua Prof. Mota Pinto, nº7 1º dto., 2610-152, Alfragide, Amadora, Portugal (Personal)

Knowledge fields

  • Engineering and Technology - Chemical Engineering
  • Exact Sciences - Computer and Information Sciences - Computer Sciences

Languages

Language Speaking Reading Writing Listening Peer-review
Portuguese (Mother tongue)
English Proficiency (C2) Proficiency (C2) Proficiency (C2) Proficiency (C2)
Education
Degree Classification
2013 - 2018/09/24
Concluded
 Mestrado Integrado em Engenharia Química e Bioquímica (Mestrado integrado)
Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
"Programming and Control of a Single-Column Analog Simulated Moving Bed Process" (THESIS/DISSERTATION)
 15.39
Affiliation

Science

Category
Host institution 		Employer
2018/09/24 - 2021/12/31 Research Assistant (Research) Rede de Química e Tecnologia Laboratório Associado para a Química Verde, Portugal
Rede de Química e Tecnologia Laboratório Associado para a Química Verde, Portugal

Others

Category
Host institution 		Employer
2016/01/13 - 2018/09/24 Programmer Rede de Química e Tecnologia Laboratório Associado para a Química Verde, Portugal
Rede de Química e Tecnologia Laboratório Associado para a Química Verde, Portugal
(...)
Outputs

Publications

Book chapter
  1. Antunes, João. "Modeling and optimization of bioreactor processes". In Advances in Bioprocessing Engineering. Elsevier, 2021.
    Accepted
Conference abstract
  1. Antunes, João. "Hybrid models for iterative batch-to-batch control of bioprocesses: How prior knowledge affects convergence to global optimum". Paper presented in 3th European Symposium on Biochemical Engineering Sciences 2020, Portorož, 2020.
    Published
Journal article
  1. Antunes, João. "Batch chromatography with recycle lag. II—Physical realization and experimental validation". Journal of Chromatography A 1623 (2020):
    Published
Activities

Event participation

Activity description
Type of event 		Event name
Institution / Organization
2020/03/31 - 2020/03/31 Artificial neural networks, one of the most successful approaches to supervised learning, were originally inspired by their biological counterparts. However, the most successful learning algorithm for artificial neural networks, backpropagation, is considered biologically implausible.We contribute to the topic of biologically plausible neuronal learning by building upon and extending the equilibrium propagation learning framework, which has been previously proposed as a more biologically plausible alternative to backpropagation.
Seminar
 A Biologically Plausible Learning Algorithm for Artificial Neural Networks
Universidade de Lisboa Instituto Superior Técnico, Portugal
2019/09/25 - 2019/09/27 Hybrid models allow for the integration of knowledge from different domains. This knowledge integration has the potential to reduce the number of experiments required for model development and in addition the extrapolation properties of the hybrid model are typically much better as . This course is directed towards PhD-students, Postdoctoral researchers and industry experts that have interest in process modeling and seek for methods to improve process modeling, such ultimately enhancing process operation and design in an efficient way.
Conference
 4th Hybrid Modeling Summer School
Universidade Nova de Lisboa, Portugal

Universidade Nova de Lisboa Faculdade de Ciências e Tecnologia, Portugal
2018/06/06 - 2018/06/06 The course will cover the fundamentals of process chromatography and the tutors will present a rational and proven methodology for the design of efficient and robust chromatographic processes. They will show how this approach serves both the design of new processes and the resolution of issues encountered in the daily life of chromatographers.
Seminar
 Designing robust chromatographic processes with a proven predictive approach
Scientific Update Ltd, United Kingdom