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CMU Portugal Visiting Faculty initiative resumes in 2022

CMU Portugal Visiting Faculty initiative will resume in the Summer of 2022.  A group of five faculty from Portuguese Institutions will visit Carnegie Mellon University (CMU) in the second semester of 2022. This initiative allows faculty from Portugal to be hosted at CMU to develop ICT research and reinforce cooperation between the two countries. The 5 candidates were selected in the 2020 Call for Visiting Faculty and Researchers. The CMU Portugal Mobility Programs planned for 2020 and 2021 were suspended due to travel and health constraints caused by the COVID-19 pandemic.

The five participants will now have the opportunity to spend a research period at CMU, Pittsburgh. The Visiting Faculty and Researchers Program is directed to researchers with a doctoral degree and supports an extended exposure to research and education best practices at a global level at Carnegie Mellon University. It fosters the integration of Faculty from Portuguese universities into international knowledge networks.

Since 2007, 81 faculty had the opportunity to visit CMU under the scope of CMU Portugal mobility programs. The Program has offered faculty the possibility of further developing their knowledge and skills as researchers, establish new research collaborations or reinforce exisiting ones, and experience Carnegie Mellon University culture and best practices.

This year’s edition will be attended by researchers from Faculdade de Ciências da Universidade de Lisboa (FCUL)/ LASIGE, Instituto Superior Técnico (IST)/ INESC-ID, Instituto Superior Técnico (IST)/ Instituto de Telecomunicações (IT) and  Universidade do Minho/DEI.

The faculty will be granted a scholarship supported by the CMU Portugal Program and Fundação para a Ciência e a Tecnologia (FCT).

2022 Participants Profile:

Arlindo Oliveira: Instituto Superior Técnico (IST)/ INESC-ID
Department and Host at Carnegie Mellon University: Machine Learning Department, Professor Roni Ronsenfeld
Research topic: Developing the application of deep learning to novel areas

João Ascenso:  Instituto Superior Técnico (IST)/ Instituto de Telecomunicações
Department and Host at Carnegie Mellon University: Computer Science Department, Professor Artur Dubrawski
Research Area: Exploring new visual representation, processing and coding techniques leveraged on machine learning advances and their potential multimedia application.

João Saraiva: Universidade do Minho/ Department of Industrial Electronics
Department and Host at Carnegie Mellon University: Computer Science Department, Professor Claire Le Goues
Research topic:  Defining automated techinques and tools do repair energy inefficient programs

Naercio Magaia: Faculdade de Ciências da Universidade de Lisboa/ LASIGE
Department and Host at Carnegie Mellon University: Computer Science Department, Professor Justine Sherry
Research topic: State consistency framework for programmable network data planes

Paulo André: Instituto Superior Técnico (IST)/ Instituto de Telecomunicações
Department and Host at Carnegie Mellon University: Department of Materials Science and Engineering, Professor Elias Towe
Research Area: Planning of the collaborative research effort in quantum photonics and neuromorphic photonic systems