Senior Research Associate at
[Technical University Berlin](https://www.dima.tu-berlin.de/menue/database_systems_and_information_management_group/?no_cache=1)
collaborating with
[Volker Markl](https://www.dima.tu-berlin.de/menue/mitarbeiter/volker_markl),
[Tilmann Rabl](https://hpi.de/rabl/team/prof-dr-tilmann-rabl.html), and [Steffen Zeuch](http://www.user.tu-berlin.de/zeuchste/).
My research interests deal with designing and
developing distributed data processing
engines using modern hardware
for scalable, reliable, and efficient stateful stream processing.
I published research papers at different venues including ACM SIGMOD, VLDB, and CIDR.
I successfully defended my Ph.D. thesis about "Hardware-conscious techniques for efficient and reliable stateful stream processing" on December 5, 2022. Members of evaluation committee were [Volker Markl](https://www.dima.tu-berlin.de/menue/mitarbeiter/volker_markl),
[Tilmann Rabl](https://hpi.de/rabl/team/prof-dr-tilmann-rabl.html), [Peter Pietzuch](https://www.imperial.ac.uk/people/prp), [Matei Zaharia](https://cs.stanford.edu/people/matei/), and [Stefan Schmid](https://schmiste.github.io/).
Before joining TU Berlin and DFKI,
I received my MSc degree from
[University of Salerno](https://www.unisa.it)
in collaboration with the
[Distributed and Parallel Systems Group, Innsbruck](http://dps.uibk.ac.at/en/index.html)
under supervision of
[Radu Prodan](http://dps.uibk.ac.at/~radu/)
and
[Vittorio Scarano](http://docenti.unisa.it/001717/home).
I developed my Master's thesis while participating to an Erasmus+ program.
delmonte [at] tu [dash] berlin [dot] de
+49 30 31422784
TU Berlin
Einsteinufer 17
10587 Berlin
Germany
Einsteinufer 17
10587 Berlin
Germany
TU Berlin EN 741
***
#### Publications
-
SIGMOD'22
Paper Slides Poster - Rethinking Stateful Stream Processing with RDMA Bonaventura Del Monte, Steffen Zeuch, Tilmann Rabl, Volker Markl, 2022 ACM SIGMOD International Conference on Management of Data, Philadelphia, USA, 2022.
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VLDB'20
Paper - NebulaStream: Complex Analytics Beyond the Cloud. Steffen Zeuch, Eleni Tzirita Zacharatou, Shuhao Zhang, Xenofon Chatziliadis, Ankit Chaudhary, Bonaventura Del Monte, Dimitrios Giouroukis, Philipp M. Grulich, Ariane Ziehn, Volker Markl, 2020 Very Large Databases Conference, Tokyo, Japan, 2020.
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SIGMOD'20
Paper Slides - Rhino: Efficient Management of Very Large Distributed State for Stream Processing Engines. Bonaventura Del Monte, Steffen Zeuch, Tilmann Rabl, Volker Markl, 2020 ACM SIGMOD International Conference on Management of Data, Portland, USA, 2020.
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CIDR'20
Paper - The NebulaStream Platform: Data and Application Management for the Internet of Things. Steffen Zeuch, Ankit Chaudhary, Bonaventura Del Monte, Haralampos Gavriilidis, Dimitrios Giouroukis, Philipp M. Grulich, Sebastian Bress, Jonas Traub, Volker Markl, 10th Biennial Conference on Innovative Data Systems, Amsterdam, Netherlands, 2020.
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VLDB'19
Paper - Analyzing efficient stream processing on modern hardware. Steffen Zeuch, Bonaventura Del Monte, Jeyhun Karimov, Clemens Lutz, Manuel Renz, Jonas Traub, Sebastian Breß, Tilmann Rabl, and Volker Markl, in Proceedings of VLDB 2019. International Conference on Very Large Data Bases (VLDB-2019), Los Angeles, USA, 2019.
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BTW'19
Paper - On-the-fly Reconfiguration of Query Plans for Stateful Stream Processing Engines. Adrian Bartnik, Bonaventura Del Monte, Tilmann Rabl and Volker Markl, in Tagungsband Datenbanksysteme für Business, Technologie und Web (BTW 2019), Rostock, Germany, 2019.
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Phd@VLDB'17
Paper - Efficient Migration of Very Large Distributed State for Scalable Stream Processing. Bonaventura Del Monte, in Proceedings of the VLDB 2017 PhD Workshop. International Conference on Very Large Data Bases (VLDB-2017), located at co-located with the 43rd International Conference on Very Large Databases (VLDB 2017), August 28, München, Germany, 2017.
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EDBT'17
Paper - PROTEUS: Scalable Online Machine Learning for Predictive Analytics and Real-Time Interactive Visualization. Bonaventura Del Monte, Jeyhun Karimov, Alireza Rezaei Mahdiraji, Tilmann Rabl, Volker Markl, in Proceedings of the Workshops of the EDBT/ICDT 2017 Joint Conference (EDBT/ICDT 2017). International Workshop on Big Data Management in European Projects (EuroPro), 1st, located at Joint Conference EDBT/ICDT, March 21, Venice, Italy, 2017.
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ICGHPC'16
Paper - A scalable GPU-enabled framework for training deep neural networks. Bonaventura Del Monte, Radu Prodan, in the 2nd IEEE Int. Conf. on Green High Performance Computing (ICGHPC'16), Nagercoil, India, February 26-27, 2016.