| Hans-Arno Jacobsen, Professor
Jeffrey Skoll Chair in Computer Networks and Innovation Fellow, IEEE Chair, Computer Group
Sr. Rogers Department of Electrical and Computer Engineering Department of Computer Science University of Toronto
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Research Interests
- Distributed systems, data management (databases), data science
- Middleware systems (abstractions for building distributed systems)
- Event processing and publish/subscribe (specific middleware abstractions)
- Distributed ledgers, blockchains (a distributed systems “playground”)
- Cloud computing and machine learning systems
- Quantum information processing
Interdisciplinary Interests
- Energy informatics (how to manage the world’s energy resources)
- Sustainable computing (how to build sustainable computing systems)
- Quantum chemistry (as an application of quantum computing)
Selected and Recent Research Projects
- Quantum machine learning advantage for molecular property predictions (New Frontiers in Research Fund (NFRF), 2023)
- Preventing a reproducibility crisis in quantum computing (Data Science Institute (DSI), 2022)
- Learning Clouds (NSERC Discovery Grant, 2021-2026)
- Enabling a Highly-scalable, Cloud-based Microservices Architecture (IBM/NSERC Collaborative Research and Development Grant, 2019-2023)
- CyPreSS: Software Techniques for the Engineering of Cyber-Physical Systems with many partners in Ontario (Ontario Research Fund (ORF), 2019-2026)
Selected and Recent Publications
- Jeeta Ann Chacko, Ruben Mayer, Hans-Arno Jacobsen: How To Optimize My Blockchain? A Multi-Level Recommendation Approach. ACM SIGMOD 2023.
- Nikolai Merkel, Ruben Mayer, Tawkir Ahmed Fakir, Hans-Arno Jacobsen: Partitioner Selection with EASE to Optimize Distributed Graph Processing. IEEE ICDE 2023.
- Chen Chen, Roman Vitenberg, Hans-Arno Jacobsen: Building Fault-Tolerant Overlays With Low Node Degrees for Topic-Based Publish/Subscribe. IEEE Trans. Dependable Secur. Comput. 19(5): 3011-3023 (2022)
- Hans-Arno Jacobsen, Pezhman Nasirifard, José Rivera, Prerona Ray Baruah: Inference of Distribution Grids Based on Crowdsourced Grid Data and Drone Imagery. IEEE Trans. Sustain. Comput. 7(3): 549-560 (2022)
- Gengrui Zhang, Hans-Arno Jacobsen: ESCAPE to Precaution against Leader Failures. ICDCS 2022: 625-635
- Yunhao Mao, Zongxin Liu, Hans-Arno Jacobsen: Reversible Conflict-free Replicated Data Types. Middleware 2022: 295-307
- Alexander Isenko, Ruben Mayer, Jeffrey Jedele, Hans-Arno Jacobsen: Where Is My Training Bottleneck? Hidden Trade-Offs in Deep Learning Preprocessing Pipelines. ACM SIGMOD Conference 2022: 1825-1839
- Ruben Mayer, Hans-Arno Jacobsen: Scalable Deep Learning on Distributed Infrastructures: Challenges, Techniques, and Tools. ACM Comput. Surv. 53(1): 3:1-3:37 (2021)
Selected Awards
- Test-of-Time Award (10-Year Best Paper Award), VLDB, 2019 for “PNUTS: Yahoo!'s Hosted Data Serving Platform”
- Test-of-Time Award (10-Year Best Paper Award), ACM Middleware, 2015 for “Composite Subscriptions in Content-based Publish/Subscribe Systems”
- Innovative Principles Award, Event Processing Technical Society, 2011
- CAS Faculty Fellow of the Year - Faculty Fellow (professor) who has positively impacted the goals and reputation of IBM and CAS” (2008)
