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Ines De Miranda De Matos Lourenço

Profile picture of Ines De Miranda De Matos Lourenço

DOCTORAL STUDENT

Details

Address
MALVINAS VÄG 10

Researcher

Researcher ID

About me

I started my PhD at KTH Royal Institute of Technology in July 2018, under the supervision of Prof. Bo Wahlberg. I have been working with a variety of problems concerning decision-making in dynamical systems, including forward and inverse problems in adversarial, cooperative, and biological settings. You can find my Licentiate dissertation on these topics here.

I received the KTH Electrical Engineering Scholarship of Excellence and at ICDL-Epirob 2020 I was the winner of the Best Paper Award.

I am an affiliated student of the Wallenberg AI, Autonomous Systems and Software Program (WASP), where I belong to batch 1 of the WASP AI MLX (eXplainable Machine Learning) track. Within my batch, I belong to the Machine Learning, Deep Learning, and other AI cluster, and have taken the courses Deep Learning and GANs, and Graphical Models, Bayesian Learning, and Statistical Relational Learning. As a part of WASP, I have also attended two Winter Conferences, a Summer School, an International trip, and a WARA-PS Research Arena demo.

I was funded by the research environment New Directions in Learning Dynamical Systems (NewLEADS), and as a part of the System Identification group I have attended the 18th IFAC Symposium on System Identification, SYSID 2018, and two European Research Network System Identification (ERNSI) workshops (2018 and 2019).

In parallel with my research, I have been the Business Manager of the PhD Chapter board of KTH since February 2020. I organized the first edition of the Supervisor of the Year award 2020, reception lunches for PhD students,  and was reponsible for doctoral student involvement in the THS Armada career fair. I have also been a board member of the female doctoral student network WOP@KTH since January 2019, where I helped organized the Rising Stars event and networking mingles.


Courses

Automatic Control, General Course (EL1000), assistant | Course web