Schahram Dustdar is a ICREA Professor au UPF. He held several honorary positions: Francqui Chair Professor at University of Namur, Belgium (2021-2022), University of California (USC) Los Angeles; Monash University in Melbourne, Shanghai University, Macquarie University in Sydney. From Dec 2016 until Jan 2017 he was a Visiting Professor at the University of Sevilla, Spain and from January until June 2017 he was a Visiting Professor at UC Berkeley, USA. From 1999 - 2007 he worked as the co-founder and chief scientist of Caramba Labs Software AG in Vienna (acquired by Engineering NetWorld AG), a venture capital co-funded software company focused on software for collaborative processes in teams. Caramba Labs was nominated for several (international and national) awards.
Research interests
I focus on resilient large-scale distributed software systems. The fundamental concerns I work on include: (1) compositional software services spanning the whole Compute Continuum including: IoT sensors, Edge devices, Fog server, and Cloud data centers; (2) data, as it flows within that infrastructure; (3) coordination, context, and control; and (4) security and privacy. My goal is to develop a set of coherent scientifically grounded methodologies and open-source software tools for addressing the engineering of large-scale distributed software-intensive (IoT) systems by focusing on these outlined areas. By providing the necessary scientific foundations, I develop engineering support—buttressed with novel and groundbreaking scientific approaches—to address challenges from a more advantageous ecosystems vantage view. More recently i started to get interested and focused on Active Inference and the question of Distributed Intelliegence, as well as AI Infrastructure.
Selected publications
– Zhao H, Dustdar S et al. 2025, ‘Online Workload Scheduling for Social Welfare Maximization in the Computing Continuum‘, IEEE Transactions on Services Computing, 18, 4, 2267-2280.
– Gui L, Dustdar S et al. 2025, ‘RaliSense: Extending WiFi Respiratory Detection Range by Rapid Alignment of Dynamic Components‘, IEEE Transactions on Mobile Computing, 24, 9, 8119-8135.
– Pretel E, Dustdar S et al. 2025, ‘Digital Twins and Artificial Collective Intelligence: Synergies for the Future‘, IEEE Internet Computing, 29, 1, 75-85
– Guo F, Dustdar S et al. 2025, ‘A Scalable and Secure Transaction Attachment Algorithm for DAG-Based Blockchain‘, IEEE Internet of Things Journ, 12 – 9 – 12298-12309.
– Du A, Dustdar S et al. 2025, ‘Online Service Placement, Task Scheduling, and Resource Allocation in Hierarchical Collaborative MEC Systems‘, IEEE Transact.on Services Computing, 18, 2, 983-997
– Li Y et al 2025, ‘Federated Domain Generalization: A Survey‘, Proceedings of the IEEE, vol. 113, no. 4, pp. 370-410.
– Luo H et al. 2025, ‘Wireless Blockchain Meets 6G: The Future Trustworthy and Ubiquitous Connectivity‘, IEEE Comm.Surveys & Tutorials, 28, 3596-3636
– Magnússon S, Dustdar S et al. 2025, ‘Benchmarking Dynamic SLO Compliance in Distributed Computing Continuum Systems‘, IEEE Internat. Conference on Edge Computing & Comm.(EDGE), Helsinki, Finland, 93-102,
– Wang Y et al 2025, ‘iKafka: Intelligent Storage Management for Adaptive Event Streaming in Kafka‘, IEEE Int.Conf.Edge Computi.& Comm. (EDGE), Helsinki, Finland, pp. 34-43.
– Donta PK, Zhang Q & Dustdar S 2025, ‘Performance Measurements in the AI-Centric Computing Continuum Systems‘, IEEE 11th World Forum on Internet of Things (WF-IoT), Chengdu, China, pp. 1-6.
– Wang Y, Donta PK, Lovén L, Dustdar S & Motlagh NH 2025, ‘Lightweight LSTM-Based Adaptive Kafka Tuning for Predictive IoT Data Streams‘, IEEE International Conference on Quantum Software (QSW), Helsinki, Finland, pp. 257-262.