António Raimundo, who holds a PhD in Information Science and Technology from Iscte - University Institute of Lisbon, Portugal, is an Assistant Professor at the School of Applied Digital Technologies at Iscte Sintra, where he also coordinates the Bachelor's degree in Digital Technologies and Artificial Intelligence. Currently, he is an Integrated Researcher at ISTAR-IUL, focusing his research on areas such as Machine Learning / Deep Learning, Large Language Models, Computer Vision, and Data Science. With several years of teaching experience, he has had the opportunity to be a trainer in short courses, postgraduate programs, and a speaker at various business events.

António Filipe Fonseca is an engineer and complexity sciences researcher. He graduated in Electronics and Telecommunications from IST in Lisbon and holds a Master's degree and a PhD in Complex Systems Sciences from ISCTE/IUL and Faculdade de Ciências de Lisboa. His main research interests are complex social systems, information dynamics and modelling and simulation of complex systems. He worked in several private companies as an engineer before joining the public service as an IT expert. Currentlys is Assistant professor in ISCTE Sintra and Integrated Researcher  at ISTAR/ISCTE -IUL Lisbon.

João C. Ferreira is Assistant Professor with habilitation at ISCTE-IUL. He graduated in Physics from the Technical University of Lisbon (UTL / IST), Portugal, received an MSc in Telecommunications and a PhD in Computer Engineering from UTL / IST and a second PhD in Industrial Engineering at the University of Minho. His research interests are in: data science, Text Mining, IoT, Blockchain AI, and AI application to health, energy, transportation, Electric Vehicle, Intelligent Transportation Systems (ITS) and sustainable mobility systems. He has authored more than 250 papers in computer science. He has executed more than 40 projects (6 as PI), more than 200 scientific paper reviews and more than 30 scientific project evaluations. IEEE CIS Chair 2016-2018 and current vice-chair of IEEE Blockchain PT, CIS PT chapter and Bruxels AI and robotics.  Main organizer of international conferences such as: OAIR 2013, INTSYS from 2018 to 2022. IEEE senior member since 2015. Guest Editor and topic editor of MDPI in the topics of energies, electronics and Sensors. President of the IEEE CIS in PT (2017-2018). Author of a patent in the area of Edge Computer in a monitoring system for fishing vessels Coordinator of the Master of Decision Support Systems, Professional Master for the Digitalization of Business and of the summer (smart cities) and winter (IoT Systems and Blockchain) schools. Vice-Chair Computational Intelligence Society and IEEE Blockchain in Portugal and Industry Ambassador in Portugal   He is participating in the following projects - H2020 Infrastress, Sparta, ENSURECEC, EFFECTOR, MARISA, ANDANTE, Interreg Block4Coop, BALCAT, AIM Health, PT2020 Monitoring persistent track and Multicam and the Digital Demo, EEagrants Fish2fork (PI) and Social IoT (PI)

Since 2022, I have taught at Iscte-Sintra — Iscte, University Institute of Lisbon, delivering the modules Graphs and Complex Networks, Mathematical Modelling, Introduction to Neural Networks, Calculus, and Mechanics and Electricity. In parallel, I serve as Coordinator of Projects in Applied Mathematics II and as Year Coordinator for the first year of the Digital Technologies and Management degree programme. Between 2021 and 2023, I also taught the modules Mathematics I and II, Physics I and II, Probability and Statistics, and Computer Science at the Instituto Superior de Educação e Ciências de Lisboa. I am passionate about science and the advancement of knowledge, with research interests in mathematical modelling applied to Physics, Biology, Sociology, and, more broadly, to scientific and societal challenges. I am equally committed to education, striving to enable students to master any skill with the right guidance and effort. In this spirit, I have volunteered as a teacher of Portuguese and Mathematics for illiterate adults at a social institution, and I currently teach Mathematics at a Senior University. Beyond academia, I have experience in Data Analysis (back end and front end), Data Visualisation and dashboarding, Data Science, and Predictive Analytics. I excel at problem-solving, research, and data interpretation, applying analytical skills to develop solutions rapidly, whether through organisation, teamwork, planning, management, programming, or innovation. As a researcher, I have worked on projects that apply mathematical and computational techniques to biological, operational, social, and other data sources. In biological applications, I specifically studied the evolution of viruses in terms of mutations and virulence. Although this research did not prevent the COVID-19 pandemic, projects of this kind contribute to the scientific foundation that enabled the rapid development of vaccines. I hold a PhD from Cranfield University (UK), following an MSc in Physics from the University of Lisbon (Portugal). My doctoral thesis focused on analysing automotive supply chains and developing a synthetic network model capable of reproducing real-world supply chain structures. The model demonstrated high accuracy, enabling managers to predict supply chain structures with minimal data. In terms of soft skills, determination and hard work have been fundamental in my career. I firmly believe that success is not reserved for geniuses — anyone can achieve their goals with dedication and perseverance.

Paulo Vieira is an invited professor at ISCTE-IUL and student researcher at LASIGE Computer Science and Engineering Research Centre. His academic background includes a 1st cycle degree in Computer Engineering from Instituto Superior de Engenharia de Lisboa, a Master's degree in Computer Engineering from Instituto Superior de Engenharia de Lisboa. He is currently working on his PhD in Informatics from Faculdade de Ciências da Universidade de Lisboa. His research interests focus on emotion, machine learning and information systems.  

Vasco Rafael Jerónimo Velez holds a Bachelor’s and a Master’s degree in Computer and Telecommunications Engineering. His Master’s dissertation focused on GPS spoofing techniques applied to UAV navigation systems.In 2024, he earned his PhD in Information Science and Technology, with a thesis dedicated to the design and integration of novel transmission techniques to optimize the performance of wireless networks and communications.He is currently an Assistant Professor in the Department of Applied Digital Technologies at the School of Applied Digital Technologies, ISCTE-IUL.His main research interests include wireless communication systems and networks, signal processing, MIMO communications and radar, reconfigurable intelligent surfaces (RIS), index modulation, optimization algorithms, GNSS signals, and UAV applications.