Tiago Filipe Crispim Pereira

Tiago Crispim Pereira holds a Bachelor’s degree in Mechatronics Engineering (Grade: 13) from the Universidade de Évora, and a Master’s degree in Industrial Automation Engineering (Grade: 15) from the Universidade de Aveiro. In the latter degree, the dissertation titled “Localization of ATLASCAR2 using satellite or aerial images” was completed. Tiago Crispim Pereira is currently pursuing a Doctoral Program in Mechanical Engineering at Universidade de Aveiro, with the lecture year already completed. His Ph.D. Thesis is titled “Development and analysis of smart predictive digital twins for water supply systems”.

He participated in a scientific fellowship related to Drug Discovery with machine learning tools that resulted in co-authoring a published paper titled “Designing optimized drug candidates with Generative Adversarial Network”. This fellowship focused on the implementation of state-of-the-art deep learning architectures to generate tailor-made drugs. Currently, Tiago Crispim Pereira is working on the fellowship titled “Towards energy sustainability and cost reduction of water supply networks through deep learning”, planned to end in June of 2023. This fellowship is highly related to the Ph.D. Thesis, and thus all work produced (e.g., software, research disseminated, results) will be repurposed. In relation to this fellowship, Tiago Crispim Pereira is a valuable member of the I-RETIS Water project (a P2020 project), gaining and disseminating knowledge, and collaborating with other members with his experience in the fields of reinforcement learning, data science, and software development.

This project enabled the presentation of two communications in ECCOMAS YIC2023 and the TEchMA2023 – 6th International Conference on Technologies for the Wellbeing and Sustainable Manufacturing Solutions, and currently is scheduled to present a communication on the “Efficient 2023 IWA conference on Efficient Urban Water management”. The formal education background provided the fundamentals in mechanical engineering, control systems, computer vision, robotic systems, and computer science. This gave a solid basis for further self-study in several fields of interest such as Artificial Intelligence (AI), software development, and data science. He developed a solid foundation in AI concepts, ranging from deep learning architectures, reinforcement learning, generative models. His academic and professional background validates his self-taught knowledge, which is further strengthened by the enrolment in the “Deep Learning” and “Reinforcement Learning” courses in the Coursera platform. Moreover, actively participates in skill-based events, for example, was a valuable member of the winning team of the Aveiro Tech City 2022 Hackathon (Challenge nº3).

In regard to technical skills, this researcher has proficiency in several programming languages such as python, C, and Matlab, popular deep learning libraries (e.g,. Tensorflow, pytorch), sql/postgress, docker and some DevOps concepts, and web-related programing such as html, css, javascript, and jekyll. Finally, Tiago Pereira is versatile in learning languages, being fluent in English, being capable of writing scientific papers in English. He also explored some tertiary languages, from those his proficiency in Mandarim stands out as particularly notable.