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Pedro Mendes

I am a doctoral student in the CMU-Portugal dual-degree PhD program in Software Engineering at Carnegie Mellon University (CMU) and Computer Science and Engineering at Instituto Superior Técnico (IST) – Universidade de Lisboa.
I am being kindly advised by Prof. Paolo Romano at IST and Prof. David Garlan at CMU. I am currently working as a graduate research assistant at Software and Societal Systems Department (S3D) where I integrate the ABLE Group, and as a researcher at IST and in the Distributed, Parallel and Secure Systems (DPSS) Group at INESC-ID Lisboa.

Research topics:Machine Learning Models, Neural Networks, Efficiency, Trustworthiness, Hyperparameter tuning, Optimization, Robustness, Adversarial Training, Uncertainty Estimation
Enrollment year: 2021
Thesis: Techniques for Enhancing the Efficiency and Trustworthiness of Neural Networks
Graduation year: 2024
PT Supervisor: Paolo Romano
CMU Supervisor: David Garlan