Empowering the Youngsters Toward Careers in High-Performance Computing: Addressing the Gender Gap
This roundtable event seeks to inspire and empower the next generation of researchers and professionals in high-performance, parallel, and distributed computing by addressing critical challenges in technological innovation and inclusivity. Featuring an exceptional panel of international experts, the session will delve into cutting-edge research, emerging technological trends, and the systemic barriers women and underrepresented groups face in scientific fields, particularly computer science.
This event, promoted by the Department of Informatics of the University of Turin, the National Center for Supercomputing – ICSC and the Italian Competence Center for HPC – EuroCC Italy, addresses two critical objectives: stimulating young students’ interest in parallel and distributed careers and fostering critical awareness about gender disparities in technological research. Through an engaging dialogue, our panelists will share insights into their work, future research directions, personal career journeys, and strategies for overcoming gender-related challenges in male-dominated scientific domains.
Designed to engage students, researchers, and professionals from both academic and industrial sectors, this roundtable provides a unique platform for discussing career opportunities, technological innovations, and the importance of diversity in advanced computing fields.

Registration
Participation is free; please register if you plan to attend.
Moderator

Eleonora Barelli
Eleonora Barelli is a physicist with a background in complex systems, computational simulations, and Artificial Intelligence. During the PhD, she specializes in research on the teaching and learning of these topics. Now, as Head of Education and Foresight at IFAB – International Foundation Big Data and Artificial Intelligence for Human Development, she manages the Foundation’s educational programs on AI, supercomputing, and quantum computing for students, teachers, and enterprises. She is the Principal Investigator of the Observatory on Trends and Applications of Supercomputing, a project within the National Center for High-Performance Computing, Big Data, and Quantum Computing, aimed at outlining future scenarios for the evolution of enabling technologies and collecting use cases to expand the audience engaging with these topics.
Speaker

Paola Grosso
Paola Grosso (Member, IEEE and ACM) is a Full Professor at the University of Amsterdam with a chair on “Multiscale networks”. She is part of the Multiscale Networked Systems research group and director of the Informatics Institute. Her research focuses on the creation of sustainable and secure computing infrastructures, which rely on the provisioning and design of programmable networks. Current interests cover developments of control planes for quantum networks, in band telemetry and use of FPGA for enhanced network monitoring. She has an extensive list of publications on these topics and currently contributes to several national and international projects such as the EU-funded projects DESIRE6G, SLICES-RI, as well as international initiatives like FABRIC.

Rosa Filgueira
Dr. Rosa Filgueira is a Chancellor’s Fellow in AI & Data Science at EPCC, University of Edinburgh, specializing in intelligent adaptive systems, semantic software analysis, and text-based data insights. Her research focuses on empowering non-experts to use complex computational tools effortlessly, enhancing software understandability through AI techniques, and advancing innovative parallel frameworks for scalable, efficient, and reproducible stream-based applications. She has collaborated across diverse domains, including seismology, social sciences, and digital humanities, applying cutting-edge NLP, machine learning, and parallel computing techniques. Rosa has significantly contributed to major projects such as the development of the dispel4py and Laminar frameworks and the Frances Semantic-Web platform for historical data mining. She has chaired several conferences and workshops, including IEEE eScience conference 2023 and WORKS workshops from 2020 to 2022, and served as the Track Chair of the Data Analytics, Visualization, and Storage track at SC24. She is also a UK Young Academy Fellow, an SSI Fellow, a member of the IEEE eScience Steering Committee, an Associate Editor for the Royal Society Open Science journal, and a GAIL Fellow at the University of Edinburgh. Rosa actively works on interdisciplinary research at the intersection of AI, HPC, and semantic technologies.

Susanna Donatelli
Susanna Donatelli is a full professor in the INFO-01/A (Computer Science) sector at the Department of Computer Science. Her research focuses on the evaluation and verification of computer systems, with interests that include theoretical aspects, experimentation, and the design of support tools, also for educational purposes. She has served as chair and program committee member for numerous international conferences in the field and is currently a member of the steering committee of the International Conference on Petri Nets.
She has been the president of the Computer Science degree program, and in this role, she actively participated in the university’s accreditation process in 2015. From 2021 she is the director of the Department of Computer Science.

Alessia D’Orazio
Alessia D’Orazio is the research manager at ICSC-National Research Centre for High Performance Computing, Big Data, and Quantum Computing. She is an expert on European funding policies and programs for research and innovation and support for the development and PM of European and international projects. After her PhD in Particle physics, she worked as a researcher for almost 7 years. Then, she held the role of scientific and policy officer at the Italian National Institute for Nuclear Physics (INFN) Bruxelles Liason office, becoming head of the office in 2016. From 2019 to 2021 she was head of the INFN National Service for European and International Projects’ Development.
Organized by

IFAB – International Foundation Big Data and Artificial Intelligence for Human Development



