The IEEE International Conference on Fuzzy Systems 2021 (Fuzz-IEEE) is taking place in Luxembourg from July 11th-14th 2021: https://attend.ieee.org/fuzzieee-2021 FUZZ-IEEE 2021 is the premier annual conference in the field and provides a unique meeting point for scientists and engineers, from academia and industry, to interact and discuss the latest enhancements and innovations. The topics of the conference will cover all aspects of theory and applications of fuzzy sets and systems and its hybridisations with other artificial and computational intelligence techniques.
Students Filipa Pinto, Miguel Folque and Nassir Rodrigues Cassamo, under supervision of Prof. Susana Vieira won the H-INNOVA – Health Innovation AWARD, 1ª Edition Award. Their Software on artificial intelligence is able to predict a heart attack 5 minutes before it happens. H-INNOVA - HEALTH INNOVATION AWARD is an initiative that is part of H-INNOVA - HEALTH INNOVATION HUB and consists in a call launched to the main Universities and Institutes in which projects that fall into strategic defined areas can compete.
Our PhD candidate Aldo Arévalo attended the Society of Critical Care Medicine’s (SCCM) 49th Critical Care Congress in Orlando at the Orange County Convention Center. Specifically, for the datathon session held on February 14th and 15th of 2020. He worked in a team composed of clinicians, health entrepreneurs and data scientist to find associations between blood glucose on neurologically ill patients in the ICU. They found that hyperglycaemia is associated with higher mortality and that association is stronger with patients diagnosed with diabetes.
From 27 to 30 of August, Tiago and Miguel presented the conference papers “A Novel Framework for Intelligent Automation” and “Dual Resource Constrained Scheduling for Quality Control Laboratories”, respectively, on the IFAC Conference Manufacturing Modelling, Management and Control - 9th MIM 2019. [comment]: <> (Inline-style: )
From 10 to 14 of June, Tiago participated in the 2019 edition of the International Workshop on Innovating (IWI) at MIT. IWI is a hands-on program designed to expose participants to the critical elements that lead to venture creation and the realization of the commercial potential of technologies. This workshop is primarily intended for aspiring and early-stage entrepreneurs, as well as researchers that seek to explore the application and business prospect of their ideas and research.
Due to the successful presentation of the first conference at Tokyo Medical and Dental University (TMDU) in 2018, a second medical big data analytics conference in Japan will be hosted at the Google Japan Tokyo office during March 8 to 10, 2019. Many data scientists and critical-care experts are willing to gather in Tokyo to explore big data extracted from various ICU-derived electronic medical records. In addition to that, hands-on workshops will be given during the venue.
After successful presentations around the world, the MIT Critical Care Datathon took place for the first time in Italy between February 1st and 3rd. A Critical Care Datathon is a 24-hour challenge where clinicians and data scientists work together with the goal of finding new ways to answer real clinical questions using electronic health records. For this event, these data enthusiasts dug into the MIMIC-III and the eICU databases. Our PhD students Marta Fernandes and Aldo Arévalo took the initiative to pitch about a clinical case to be solved separatedly.
Many low- and middle-income countries continue to seek ways on how to better understand and obtain actionable insights on Big Data for health. The “2nd Big Data for Health workshops and conference for the Asia-Pacific” aims to promote a collaborative research environment by bringing together academics, policy-makers, innovators, researchers, entrepreneurs, and industry to discuss strategies and approaches to making health data work for improving health service delivery and health systems.
IS4 researchers André Silva and Joaquim Viegas have been awarded student grants to present their scientific contributions at the IEEE World Congress on Computational Intelligence 2018 in Rio de Janeiro, Brasil, which will be happening between the 8th and 13th of July. The bi-annual IEEE World Congress on Computational Intelligence (IEEE WCCI) is the largest technical event in the field of computational intelligence. The IEEE WCCI 2018 will host three conferences: The 2018 International Joint Conference on Neural Networks (IJCNN 2018), the 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2018), and the 2018 IEEE Congress on Evolutionary Computation (IEEE CEC 2018) under one roof.
This event is co-organized by the National University of Singapore (NUS), National University Health System (NUHS) and MIT Critical Data. We aim to bring together clinicians, data scientists and innovators in healthcare to address current problems in healthcare with data analytics technologies. The increasing wealth of patient data available through electronic health records has created a surge in research funding and industry interest in health data analytics. Challenges in extracting knowledge from health record databases, however, are significant.
From 19 to 22 of June, some elements of the team had the chance to participate in the Automatica fair. Among the purpose of their visit, they had the opportunity to see and test some of the latest technologies in the field of automation as well as to identify future potential research directions. [comment]: <> (Inline-style: )
Data accumulates in a speed unmatchable by human capacity of data processing. Thus, approximation of unknown functions from sampled data is an important activity in modern modeling and systems theory. It is important to develop models from data, which have sufficient generalization power and can describe the underlying process with accuracy, despite the nonlinearity and the complexity of these processes. Fuzzy systems are known to be universal function approximators that can be used to model real-world systems.
In May of 2017 a team composed by students from MIT Portugal Program - Leaders for Technical Industries - including PhD student Marta Fernandes, presented an innovative integrated solution entitled AAL4Life - Ambient Assisted Living Integrated Solution - in TecInnov – 1st edition Thales. The team was awarded financially to develop the proposed solution. \ \ AAL4Life is an innovative technology-based integrated solution with an associated telehealth service to improve the quality of life of the older population.