Gabriel Campero Durand

M.Sc. Gabriel Campero Durand

Institut für Technische und Betriebliche Informationssysteme (ITI)
AG Datenbanken & Software Engineering
Universitätsplatz 2, 39106, Magdeburg, G29-108
Vita

Gabriel Campero Durand is a PhD student and associated researcher at the Databases and Software Engineering group of the Otto-von-Guericke University of Magdeburg.
He received his M.Sc. degree in Data and Knowledge Engineering at the University of Magdeburg in 2017. Before his current role he worked with IBM Research, and IBM Cloud Availability Monitoring in Boblingen.
His research focuses on production-ready applications of AI techniques to data management, with a focus on deep reinforcement learning.

Projekte

Abgeschlossene Projekte

Publikationen

2021

  • Sepideh Sobhgol, Gabriel Campero Durand, Lutz Rauchhaupt, and Gunter Saake. Machine Learning within a Graph Database: A Case Study on Link Prediction of Academic Data. ICEIS, April 2021. Accepted.
     
  • Harish Kumar Harihara Subramanian, Bala Gurumurthy, Gabriel Campero Durand, David Broneske, and Gunter Saake. Analysis of GPU-Libraries for rapid Prototyping Database Operations. In Proceedings of the International Workshop on Big Data Management on Emerging Hardware (HardBD), pages 36–41, April 2021.
     
  • Anh Trang Le, Gabriel Campero Durand, Bala Gurumurthy, David Broneske, Christoph Steup, and Gunter Saake. Design Considerations Towards AI-Driven Co-Processor Accelerated Database Management. In Grundlagen von Datenbanken (GvDB), April 2021. Accepted.
     

2020

2019

  • Sabine Wehnert, Gabriel Campero Durand, and Gunter Saake. ERST: Leveraging Topic Features for Context-Aware Legal Reference Linking. In Michał Araszkiewicz and Víctor Rodríguez-Doncel, editors, Legal Knowledge and Information Systems, volume 322 of Frontiers in Artificial Intelligence and Applications, pages 113 –122. IOS Press, December 2019.
     
  • Xiao Chen, Yinlong Xu, David Broneske, Gabriel Campero Durand, Roman Zoun, and Gunter Saake. Heterogeneous Committee-Based Active Learning for Entity Resolution (HeALER). In European Conference on Advances in Databases and Information Systems (ADBIS), LNCS, pages 69–85, September 2019.
     
  • Gabriel Campero Durand, Rufat Piriyev, Marcus Pinnecke, David Broneske, and Gunter Saake. Automated Vertical Partitioning with Deep Reinforcement Learning. European Conference on Advances in Databases and Information Systems, September 2019. (PDF)
     
  • Gabriel Campero Durand. Production-Ready Learning-Augmented Data Management with Deep Reinforcement Learning. Small Entry Accepted for ECML PKDD Workshop, Unpublished, September 2019.
     
  • Rutuja Pawar, Sepideh Sobhgol, Gabriel Campero Durand, Marcus Pinnecke, David Broneske, and Gunter Saake. Codd's World: Topics and their Evolution in the Database Community Publication Graph. In Grundlagen von Datenbanken, volume 2367, pages 1–6, June 2019.
     
  • Xiao Chen, Gabriel Campero Durand, Roman Zoun, David Broneske, Yang Li, and Gunter Saake. The Best of Both Worlds: Combining Hand-Tuned and Word-Embedding-Based Similarity Measures for Entity Resolution. In Datenbanksysteme für Business, Technologie und Web, pages 215 – 224, March 2019.
     
  • Marcus Pinnecke, Gabriel Campero, Roman Zoun, David Broneske, and Gunter Saake. Protobase: It’s About Time for Backend/Database Co-Design. In Holger Meyer, Norbert Ritter, Andreas Thor, Daniela Nicklas, Andreas Heuer, and Meike Klettke, editors, BTW 2019 – Workshopband, volume P-289 of Lecture Notes in Informatics (LNI), pages 515–518. Gesellschaft für Informatik, March 2019.
     
  • Marcus Pinnecke, Gabriel Campero, Roman Zoun, David Broneske, and Gunter Saake. Protobase: It's About Time for Backend/Database Co-Design. In Datenbanksysteme für Business, Technologie und Web (BTW), pages 515–518, 2019.
     

2018

  • Iya Arefyeva, David Broneske, Gabriel Campero, Marcus Pinnecke, and Gunter Saake. Memory Management Strategies in CPU/GPU Database Systems: A Survey. In BDAS. Springer, September 2018.
     
  • Bala Gurumurthy, David Broneske, Marcus Pinnecke, Gabriel Campero Durand, and Gunter Saake. SIMD Vectorized Hashing for Grouped Aggregation. In Advances in Databases and Information Systems, pages 113 – 126, September 2018.
     
  • Roman Zoun, Gabriel Campero Durand, Kay Schallert, Apoorva Patrikar, David Broneske, Wolfram Fenske, Robert Heyer, Dirk Benndorf, and Gunter Saake. Protein Identification as a Suitable Application for Fast Data Architecture. In International Workshop on Biological Knowledge Discovery and Data Mining (BIOKDD-DEXA), pages 168 – 178. IEEE, September 2018.
     
  • Roman Zoun, Kay Schallert, Atin Janki, Rohith Ravindran, Gabriel Campero Durand, Wolfram Fenske, David Broneske, Robert Heyer, Dirk Benndorf, and Gunter Saake. Streaming FDR Calculation for Protein Identication. In Advances in Databases and Information Systems, pages 80 – 87, September 2018.
     
  • Xiao Chen, Kirity Rapuru, Gabriel Campero Durand, and Eike Schallehn. Performance Comparison of Three Spark-Based Implementations of Parallel Entity Resolution. In International Workshop on Big Data Management in Cloud Systems (BDMICS-DEXA), pages 76–87. Springer, September 2018.
     
  • Iya Arefyeva, Gabriel Campero Durand, Marcus Pinnecke, David Broneske, and Gunter Saake. Low-Latency Transaction Execution on Graphics Processors: Dream or Reality?. Ninth International Workshop on Accelerating Analytics and Data Management Systems Using Modern Processor and Storage Architectures (ADMS), August 2018.
     
  • Gabriel Campero Durand, Marcus Pinnecke, Rufat Piriyev, Mahmoud Mohsen, David Broneske, Gunter Saake, Maya Sekeran, Fabian Rodriguez, and Laxmi Balami. GridFormation: Towards Self-Driven Online Data Partitioning using Reinforcement Learning. In First International Workshop on Exploiting Artificial Intelligence Techniques for Data Management (aiDM), June 2018. (PDF)
     
  • Yusra Shakeel, Jacob Krüger, Ivonne von Nostitz-Wallwitz, Christian Lausberger, Gabriel Campero Durand, Gunter Saake, and Thomas Leich. (Automated) Literature Analysis - Threats and Experiences. In International Workshop on Software Engineering for Science, SE4Science, pages 20–27. ACM, May 2018.
     
  • Gabriel Campero Durand, Jingyi Ma, Marcus Pinnecke, and Gunter Saake. Piecing together large puzzles, efficiently: Towards scalable loading into graph database systems. In Grundlagen von Datenbanken, May 2018.
     
  • Gabriel Campero Durand, Anusha Janardhana, Marcus Pinnecke, Yusra Shakeel, Jacob Krüger, Thomas Leich, and Gunter Saake. Exploring Large Scholarly Networks with Hermes. In International Conference on Extending Database Technology, EDBT, pages 650–653. OpenProceedings, March 2018.
     

2017

Forschung
  • Learning-augmented (& production-ready) solutions for data management
    • Data partitioning
    • Join order optimitzation (cardinality estimation and plan-space search improvements)
    • ...
  • Management of machine learning in production
    • Safety
    • Interpretability
    • Tooling
    • Curricula design and sample efficiency
    • Data management for ML
    • ...
  • Network analysis

Letzte Änderung: 31.03.2021 - Ansprechpartner:

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