About Bruno Melício

Born in Cape Verde, Bruno Melício is an AI enthusiast who is committed to contributing to the advancement of AI through innovative research and education.

Despite facing significant obstacles in pursuing his passion for Artificial Intelligence (AI) due to limited resources and opportunities, his dedication and hard work has helped him excel in the field. At 25 years old, he has published two scientific articles, one in the ICANN 2021 conference and another in the MTI 2022 journal, won 1st place in the Scientific Student Conference at Eötvös Loránd University and received a Special Award in the National Scientific Student Conference in Hungary.

As a researcher at NIPG, Bruno seeks to leverage his knowledge in AI to help people overcome physical and cognitive challenges imposed by disability, health conditions, or old age. Specifically, he is interested in the application of AI in healthcare, and is currently working to develop innovative solutions that can improve the lives of patients and healthcare professionals alike.

In addition to his research, Bruno is also committed to advancing the field of AI and inspiring young bright minds through education, as part of his Deep Network Development course at Eötvös Loránd University. He believes that education can play a key role in addressing ethical and societal concerns related to AI, helping to ensure that the technology is used responsibly and for the benefit of all.

Currently on his second year of Computer Science PhD at Eötvös Loránd University, he is researching behavior analysis using 3D human pose estimation for remote autism diagnosis and therapy. Prior to his current position, he gained experience in AI as a Machine Learning Engineer at companies such as Nokia and NOSi.

Bruno's journey so far is just the beginning. With his passion for AI and dedication to research and education, there is no doubt that he will continue to make contributions to the field in the years to come.

On October 2020, I joined the Neural Information Processing Group (NIPG), a research group in Hungary, to work on Behavior Analysis using 3D Human Pose estimation methods.  Since then I have been a :

- supervisor to 2 MSc students researching on Behaviour Analysis for Autism Diagnosis and Therapy

- former leader of a research team (4 people) on Human Body Pose Estimation in Edge devices for Rehabilitation Centers;

As part of my PhD studies, I have been given a Teaching Contract to lecture the course titled "Deep Network Development" at Eötvös Loránd University, which I commenced in September 2021.

The course provides students with a comprehensive understanding of the inner workings of Deep Neural Networks and equips them with the necessary skills to implement them, while maintaining ethical principles that contribute to the advancement of humanity.

Throughout my professional experience, I have had the opportunity to work with reputable companies such as NOKIA and NOSi, where I have applied my expertise in Artificial Intelligence to various projects. Among these projects was the development and implementation of a Face Mask Detector using Deep Learning. This application was designed to accurately detect if a person is wearing a face mask and determine if it is being worn correctly. 

I am currently in the second year of my PhD program at Eötvös Loránd University, where I am conducting research on the use of 3D human pose estimation for remote autism diagnosis and therapy. Autism Spectrum Disorder (ASD) is a multifaceted neurodevelopmental condition that impacts communication, social interaction, and behavior. AI can play a crucial role in assisting with the diagnosis of ASD, as well as developing innovative therapy approaches for individuals with ASD.