Past members

Joaquim L. Viegas

2020

Joaquim Viegas holds a PhD degree in Sustainable Energy Systems from the MIT Portugal program and a MSc degree in Mechanical Engineering from Instituto Superior Técnico, University of Lisbon. He currently works as a researcher in an Industry 4.0 project, leading the team responsible for research and development of novel solutions in the fields of Simulation, Optimization and Automation for an industrial partner.

He is a researcher at IDMEC - IST, his research focuses on two areas:

• Research and development in Optimization and Operations Research to solve industrial problems in fields such as Scheduling, Vehicle Routing and Cutting & Packing. Strong focus on metaheuristic approaches such as Genetic Algorithms and Ant Colony Optimization.

• Application of Machine Learning and Intelligent Data Modelling techniques to develop innovative solutions for Electricity Utilities, namely on the field of consumer segmentation, demand forecasting, detection of non-technical losses and fault prediction.

• Research on novel Automation solutions and frameworks in under Industry 4.0.

Marta Fernandes

2020

Marta Fernandes is a PhD student in Engineering Design and Advanced Manufacturing from MIT Portugal, since 2016, at the Center of Intelligent Systems (CIS), IDMEC, Instituto Superior Técnico (IST), Lisbon. Marta received the MSc degree in Mechanical Engineering in 2013 at IST. From 2014 to 2015 she was a collaborator in the Portuguese company EDP Management of Energy Production S.A. in the Department of Risk Management and Crisis. In 2016 she enrolled in the PhD, where she proposes to develop a decision support system using artificial intelligence. Marta’s PhD thesis is titled “Using Engineering Systems Concepts to Develop a Clinical Decision Support System for the Emergency Department” and is being developed in straight collaboration with the Portuguese company Grupo Luz Saúde S.A.

Ricardo Pacheco

2016

Computational Intelligence for Short Term Kidney Function Prediction in the ICU

Marta Ferreira

2015

Mixed Fuzzy Clustering of Time Variant and Invariant Features: Application to Sepsis Outcome Prediction

Rita Sobrosa

2014

Decision support system for preventing ICU readmissions

Cláudia Fontão

2014

Multimodeling approach based on fuzzy clustering applied to vasopressors administration

Cátia Matos Salgado

Cátia Matos Salgado is a PhD student in Bioengineering Systems from MIT Portugal, at the Center of Intelligent Systems (CIS), IDMEC, Instituto Superior Técnico, Lisbon. Cátia Salgado received the MSc degree in Biomedical Engineering in 2012 at Universidade do Minho, Braga, Portugal. Cátia Salgado’s main research area is Medical Informatics, with focus on the development of computational intelligence methods for knowledge data discovery; more specifically she works in feature selection, modeling and clustering applied to healthcare. The topic of her PhD thesis is personalized medicine in the intensive care unit (ICU) using data based modeling. She has been using feature selection and fuzzy modeling to identify important factors leading to patients’ adverse events in the ICU.

Rúben Pereira

2014

Data-based Modeling and Classification to Improve Outcomes in the Intensive Care Unit

João Sargo

2013

Binary Fish School Search applied to Feature Selection

Federico Cismondi

2012

Preprocessing and Misclassifying Issues in Clinical Data Sets for Prediction and Intervention

André Fialho

2012

Knowledge Discovery in Intensive Care Unit Shock Patients

Aldo R. Arévalo

Aldo Arévalo is a PhD student in Bioengineering Systems from the MIT–Portugal Program, at the Center of Intelligent Systems (CIS), IDMEC, Instituto Superior Técnico (IST), University of Lisbon (UL), Portugal. He obtained a MSc degree in Biotechnology from IST (2015). His research is entitled to develop Support Decision Making solutions for health professionals based on Computational Intelligence systems. The main purpose is to help care givers and hopsital stakeholders to generate value from the anonymized Electronic Health Records (EHR’s) generated in hospitals.

Recently joined the Portuguese group of the Red Global MX, a world-wide association committed to create synergies and links among the Mexicans expats. This has the main purpose of boosting projects and actions in strategic areas (cultural, economic/commercial and academic).

André Filipe Duarte da Silva

André Filipe Duarte da Silva is a PhD Student in Bioengineering Systems from the MIT Portugal Doctoral Program, at the Center of Intelligent Systems (CIS), IDMEC, Instituto Superior Técnico, Lisbon. André Silva completed his MSc degree in Biomedical Engineering at Instituto Superior Técnico in 2015. He is currently working on the application of Machine Learning algorithms in Medicine, namely he attempts to use Machine Learning to make sense of medical data and to develop predictive models based on that data to be applied to clinical practice. The topic of his PhD thesis is Computational Intelligence Methods for Clinical Care. He is using several data classification models such as Neural Networks and Bayes Networks in order to explore the effect of several complications on the survivability of patients in the ICU as well as faster and more robust ways of identifying critical events before they happen.

Tiago Coito

Tiago Coito is a PhD student in Leaders for Technical Industries in the Engineering Design and Advanced Manufacturing focus area from MIT Portugal (LTI-EDAM), since 2017, at the Center of Intelligent Systems (CIS), Instituto Superior Técnico (IST), Lisbon. He has received his MSc degree in Mechanical Engineering in 2012 at IST and has worked meanwhile as an Industrial Informatics Engineer as a consultant mainly for the company Corticeira Amorim. Currently, he is integrated in a project, within a team, for the industry 4.0, at IDMEC (IST), in collaboration with the pharmaceutical company Hovione, with the theses title Using Intelligent Automation to Improve the Efficiency of Analytical Laboratories. His areas of interest include Industrial Informatic Systems, Manufacturing Execution Systems (MES), Industrial Automation, Intelligent Systems and Machine Vision.

Clara Cruz Correia

Clara Cruz Correia is a PhD student in Mechanical Engineering at Instituto Superior Técnico, University of Lisbon. She has completed her MsC degree in Mechanical Engineering in 2017 at the same institution. From 2018 to 2020 she worked as a Software Developer for a consulting company. In 2020 Clara enrolled in the PhD, where she is currently working in personalized medicine in the intensive care unit (ICU) using data based modeling.

Inês Garção

Inês Garção is a masters student in Mechanical Engineering at Instituto Superior Técnico, University of Lisbon. She is currently investigating the circadian variation (CV) in heart rate (HR) among critically ill patients and its association with survival to hospital discharge in a large population of patients in the intensive care unit (ICU).

Sofia Gonçalves Carreira

Sofia Carreira is a MSc student in Mechanical Engineering at Instituto Superior Técnico, University of Lisbon. In 2018, she was a Erasmus student at Stuttgart University, in Germany. In 2019, she was a research intern in the Cooperative Systems and Communications Technologies department in the Center of Innovation of Volkswagen AG at Wolfsburg, in Germany.

Pedro Rodrigues

Pedro Rodrigues is a MSc student of Systems, Mechanical Engineering at Instituto Superior Técnico, Lisbon. He studied in Denmark for 1 year at SDU where he worked as a student assistant and discovered a new interest for data science. In his final year, he is collaborating with EY on a master thesis project on natural language processing of data in the health sector.