Research Position
He is currently a Senior Researcher at the Computing Resource Orchestration and Management for Artificial Intelligence research group at UPC. His research focuses on the intersection of large-scale High Performance Computing infrastructures and Artificial Intelligence.
Research Profiles
- ResearcherID Web of Science): A-4706-2016
- Scopus Author ID: 35308221200
- ORCID ID: 0000-0003-1963-7418
- UPC Research Portal (Futur): futur.upc.edu/JordiTorresVinals
- Google Scholar: Jordi Torres
- DBLP: Jordi Torres
Ph. D. Supervision
Current Ph.D. students:
- Ferran Agulló (with Josep Ll. Berral from UPC & BSC)
- Pol Garcia Recasens (with Josep Ll. Berral from UPC & BSC)
Graduated Ph.D. students:
- Amanda Duarte (Recognised Researcher at BSC)
- Victor Campos (Research Scientist at DeepMind UK)
- Míriam Bellver (Computer Vision Applied Scientist at Amazon BCN)
- Joan Capdevila Pujol (Machine Learning & Data Science at ZOE London)
- Cesare Cugnasco (CEO of Qbeast & Senior Researcher at BSC)
- Josep Ll. Berral (Senior Researcher at BSC)
- Jordi Guitart (Associate Professor at UPC)
- David Carrera (Co-Founder, CTO & Chairman @Nearby Computing)
- Vicenç Beltran (Senior Researcher at BSC)
- Ramon Nou (HPC Storage Systems Research Line Lead at BSC)
- Javier Alonso (Applied Machine Learning Scientist en Amazon Prime Air, USA)
- Iñigo Goiri (Research Software Development Engineer II at Microsoft, USA
Research Projects
Current projects
- SCALEST: Sustainable Computing, AI and Learning in Edge-to-Supercomputing Technologies (2026-2028).
- NEARDATA: Extreme Near-Data Processing Platform (2023-2026).
- SGR-2021-00478: Computing Resources Orchestration and Management for AI (2022-2025)
Selected past projects
The following five projects represent a personal selection illustrating the arc of my work, from cultural and medical AI to financial systems, autonomic computing, and energy-aware infrastructures.
- Artificial Intelligence Exhibition CCCB-BSC: Scientific advisor of the exhibition (2022-2024).
- INCISIVE: A multimodal AI-based toolbox and interoperable health imaging repository for cancer diagnosis, prediction and follow-up (2020-2024).
- Cognitive Computing CaixaBank-BSC: Application of cognitive computing to financial innovation on (2016-2022).
RenewIT: Advanced concepts and tools for renewable energy supply of IT Data Centres. (2014-2016).
- SORMA: Self-Organizing ICT Resource Management (2006-2009).
A full list of past national and European research projects is available upon request.
Publications
He is the author or co-author of more than 200 scientific publications in the fields of High Performance Computing, Cloud Computing, Big Data, Machine Learning, and Artificial Intelligence. His research spans from early work on automatic parallelization and distributed systems to recent contributions in deep learning, multimodal AI, and HPC-enabled AI training and inference.
Below, a selection of five representative publications that reflect his current research focus:
F. Agulló, A. Gutiérrez-Torre, J. Torres, J. Ll. Berral. “Enhancing the output of time series forecasting algorithms for cloud resource provisioning”. Future Generation Computer Systems, 2025, art.107833. Open Access. DOI
P. Garcia, F. Agullo, Y. Zhu, C. Wang, E. K. Lee, O. Tardieu, J. Torres and J. Ll. Berral. “Mind the Memory Gap: Unveiling GPU Bottlenecks in Large-Batch LLM Inference”. Proceedings of the 18th IEEE International Conference on Cloud Computing (CLOUD 2025), pp. 277-287, July 7-12, Helsinki, Finland, 2025. DOI
M. Bellver, C. Ventura, C. Silverer, I. Kazakos, J. Torres and X. Giró-i-Nieto, “A closer look at referring expressions for video object segmentation“. Multimedia Tools and Applications. ISSN 1380-7501. January 2023, vol. 82, núm. 3, p. 4419-4438. DOI
A. Duarte, S. Palaskar, L. Ventura, D. Ghadiyaram, K. DeHaan, F. Metze, J. Torres, X. Giró-i-Nieto. “How2Sign: A Large-scale Multimodal Dataset for Continuous American Sign Language“. In Conference on Computer Vision and Pattern Recognition, Jun 2021. (CVPR 2021) DOI
V. Campos, A. Trott, C. Xiong, R. Socher, X. Giró-i Nieto, and J. Torres. “Explore, Discover and Learn: Unsupervised discovery of state-covering skills“. In 37th International Conference on Machine Learning, 2020. (ICML 2020).
A complete and continuously updated list of publications is available through the academic profiles listed above.