Alexandru Tomita COSTAN

Associate Professor

Quotations: 338 Wos Publications: 19 Journal Articles: 118 h-index: 11 Projects: 1


PR609

I am an Associate Professor at the Computer Science Department of University Politehnica of Bucharest, teaching courses on Computing Continuum and Big Data Management. I am a permanent member of the MobyLab group at the PRECIS research center. My research spans efficient execution of AI workloads - particularly Federated Learning - on large-scale infrastructures, reproducibility and Big Data management across the Computing Continuum, as well as stream and workflow data management. More recently, I have started to look into explainability of AI and support for Quantum Computing. This work is done in collaboration with colleagues from Inria (FR), Argonne National Laboratory (USA), and Oak Ridge National Laboratory (USA). I authored one book and over 50 peer-reviewed publications in major international journals and conferences. I regularly serve on the program committees of top-tier venues such as SuperComputing, IPDPS, EuroPar, CCGrid, Cluster, and IEEE Big Data. I co-chair the FlexScience workshop at HPDC (since 2015) and am a member of the Joint Laboratory on Extreme-Scale Computing (JLESC).

Lastest Projects

Explainable Artificial Intelligence across the Computing Continuum
1970 - 1970

Top Publications

Managing data access on clouds: A generic framework for enforcing security policies Cristina BASESCU, CATALIN - ADRIAN LEORDEANU, Alexandru - Tomita COSTAN, ALEXANDRU TOMITA COSTAN, Gabriel ANTONIU, Proceedings - International Conference on Advanced Information Networking and Applications, AINA IEEE COMPUTER SOC, 2011, 000299083800061 10.1109/AINA.2011.61

Fault tolerance and recovery in grid workflow management systems Elvin SINDRILARU, ALEXANDRU TOMITA COSTAN, VALENTIN NICOLAE PUIU CRISTEA, 2010 International Conference on Complex, Intelligent and Software Intensive Systems IEEE, 2010, 000393274800068 10.1109/CISIS.2010.113

Spark versus flink: Understanding performance in big data analytics frameworks Ovidiu-Cristian MARCU, ALEXANDRU TOMITA COSTAN, Gabriel ANTONIU, Maria S. Perez-Hernandez, 2016 IEEE International Conference on Cluster Computing (CLUSTER) IEEE, 2016, 000391414100067 10.1109/cluster.2016.22

Monitoring and control of large systems with MonALISA Iosif Charles LEGRAND, Ramiro VOICU, Florin Catalin Cirstoiu, Costin GRIGORAS, Latchezar Betev, ALEXANDRU TOMITA COSTAN, COMMUNICATIONS OF THE ACM ACM New York, NY, USA, 2009, 10.1145/1562164.1562182

AutoCompBD: Autonomic Computing and Big Data platforms FLORIN POP, CIPRIAN MIHAI DOBRE, ALEXANDRU TOMITA COSTAN, SOFT COMPUTING SPRINGER, 2017, 000407133600001 10.1007/s00500-017-2739-8

Recent Publications

Efficient distributed continual learning for steering experiments in real-time Thomas Bouvier, BOGDAN MIHAI NICOLAE, ALEXANDRU TOMITA COSTAN, Tekin Bicer, Ian FOSTER, Gabriel ANTONIU, Future Generation Computer Systems North-Holland, 2025,

On the Reproducibility Challenges of Federated Learning: Investigating the Gap between Simulation, Emulation and Real-World Deployments Cedric Prigent, Kate Keahey, ALEXANDRU TOMITA COSTAN, Lo{\"\i}c Cudennec, Gabriel ANTONIU, 2025 IEEE 25th International Symposium on Cluster, Cloud and Internet Computing (CCGrid) IEEE, 2025,

Efficient data-parallel continual learning with asynchronous distributed rehearsal buffers Thomas Bouvier, BOGDAN MIHAI NICOLAE, Hugo Chaugier, ALEXANDRU TOMITA COSTAN, Ian FOSTER, Gabriel ANTONIU, 2024 IEEE 24th International Symposium on Cluster, Cloud and Internet Computing (CCGrid) IEEE, 2024,

Workflow Provenance in the Computing Continuum for Responsible, Trustworthy, and Energy-Efficient AI Renan Santos Souza, Silvina Caino-Lores, Mark Coletti, Tyler J Skluzacek, ALEXANDRU TOMITA COSTAN, Frédéric Suter, Marta Mattoso, Rafael Ferreira Da Silva, Unknown IEEE, 2024,

Towards Efficient Learning on the Computing Continuum: Advancing Dynamic Adaptation of Federated Learning Mathis Valli, ALEXANDRU TOMITA COSTAN, Cédric Tedeschi, Lo{\"\i}c Cudennec, Proceedings of the 14th Workshop on AI and Scientific Computing at Scale using Flexible Computing Infrastructures , 2024,

Books

Large-Scale Distributed Computing and Applications: Models and Trends: Models and Trends VALENTIN NICOLAE PUIU CRISTEA, Corina Stratan, FLORIN POP, ALEXANDRU TOMITA COSTAN, IGI Global, 2010,