Ali Abbasi currently serves as a Senior Full Stack AI and Data Scientist at DTx, Digital Transformation CoLAB, Portugal, and his work focuses on leveraging advanced AI and parallel and distributed computing techniques to address challenges in renewable energy and telecommunications. A key focus at DTx includes contributing to Next-Generation Storage (NGS) projects and developing innovative software and algorithmic solutions to optimize energy storage systems. Other significant contributions involve developing solutions for time-series forecasting and optimization in renewable energy systems to enhance efficiency and reliability and applying anomaly detection in telecommunications systems to improve operational performance. His work also involves designing and implementing distributed and parallel computing systems for the scalable training of deep learning and machine learning models, including large language models (LLMs). Additionally, his research explores quantum computing to solve advanced optimization problems in these domains. He is pursuing a PhD at University of Minho under the Advanced Engineering Systems for Industry (AESI) program, supported by Bosch Car Multimedia and the Portuguese Foundation for Science and Technology (FCT), with a research focus on distributed parallel computing for industrial applications.

Filipe Alves graduated in Biomedical Engineering at Instituto Politécnico de Bragança, Portugal, following a Biomedical Technology Master's degree at the same institution. Currently, he is pursuing a Ph.D. in Industrial and Systems Engineering at the University of Minho, Portugal. Since 2018, he has been working as a researcher in the ALGORITMI and CeDRI research units, focusing his scientific activity on scheduling and optimization systems. There emerged research areas in multi-agent systems in industry and health, mathematical models, and metaheuristic algorithms in decision support systems.

Rui Ribeiro is currently working as a Software Engineer at DTx, Digital Transformation CoLAB, contributing to projects focused on renewable energy and Next-Generation Storage (NGS). The work involves software and algorithmic development and implementation, as well as front-end and back-end development, to support cutting-edge solutions in these fields. He holds a Master’s degree in Informatics Engineering from University of Minho, with expertise in designing and building robust software systems for innovative applications in energy and storage technologies.

João L. Sobral has been a professor at University of Minho's Informatics Department since 2001. He received his PhD in Informatics from University of Minho in 2001. He has authored, or co-authored, more than 40 refereed journal and conference proceeding papers. He was the supervisor of five R&D projects in Parallel Computing funded by Portuguese Fundação para a Ciência e Tecnologia, including one UTAustin-Portugal International R&D Project. His research interests include the development of techniques, tools, and frameworks to enable applications for parallel (multi-core/cluster) systems. He his particularly involved in the exploitation of programming techniques promoting an advanced separation of concerns (e.g., aspect-oriented programming). He has strong post-graduate teaching experience in Parallel Computing, at Master and Doctoral levels, and has supervised around 40 BSc and MSc students.

Nelson Rodrigues holds a PhD in Computer Science from the Faculty of Engineering, University of Porto, Portugal, and is currently an Auxiliary Researcher at DTx, Digital Transformation CoLAB, Portugal. His research has centered on intelligent manufacturing systems, with significant contributions to cyber-physical systems (CPSs) and distributed artificial intelligence for developing intelligent, reconfigurable, and evolvable manufacturing systems. His work aims to improve production efficiency, quality control, and product customization in industrial scenarios, particularly in the context of smart factories. Nelson has participated in numerous national and international R&D projects, including EU-FP7 and EU-H2020 (2011–2019), and was co-awarded second place in the 2019 Industry 4.0 competition for an IoT agriculture sensors idea. He is a member of the IFAC and IEEE Technical Committees on Industrial Agents and has been a collaborator at the Artificial Intelligence and Computer Science Laboratory (LIACC) at University of Porto since 2013. Nelson has authored over 30 articles and book chapters, achieving 334 citations and an h-index of 11 as of August 2021.