Song Zhu

Details

Last Updated on Wednesday, 14 February 2018 13:47

Università degli Studi di Modena e Reggio Emilia Address: Dipartimento di Ingegneria dell'Informazione, via Vignolese, 905 - 41125 Modena Italy Telephone: Email: This email address is being protected from spambots. You need JavaScript enabled to view it. Office location: Doctorate Laboratory, 1° floor, DII

I obtained my Ph.D. in ICT at 13/02/2018. I want to express my deepest gratitude to my advisor Prof. Sonia Bergamaschi and my co-advisor Prof. Domenico Beneventano.  I wish to express my sincere thanks to every member of DBGroup.

My main research activity concerns Big Data Integration. My study is focused on join algoritms in distributed enviroment.

Teaching activities

• Instructor for the course “Emerging tools and techniques for massive data analytics” organized by CINECA and CINI.
  • April 8 - 10 2015 - Bologna
  • October 14-16 2015 - Milano
  • December 13-15, 2015 - Roma
  • April 12 - 14 2016 - Bologna
• Instructor for the School On Scientific Data Analytics and Visualization (jointly organized by Cineca and the DBGROUP), 20-25 June, 2016 - Bologna
  
• Teaching assistant for the courses of "Tecnologia delle basi di dati" and "Basi di Dati" - Università di Modena e Reggio Emilia
• Instructor for the course on Big Data Analytics (jointly organized by Cineca and the DBGROUP), 19-22 September, 2016 - Modena

Publications 

• Conferences
  • Bergamaschi Sonia, Gagliardelli Luca, Simonini, Giovanni and Zhu Song. BigBench workload executed by using Apache Flink. Procedia Manufacturing 11 (2017): 695-702.
  • Song Zhu, Giuseppe Fiameni, Giovanni Simonini and Sonia Bergamaschi. SOPJ: A Scalable Online Provenance Join for Data Integration. High Performance Computing & Simulation (HPCS), 2017 International Conference on. IEEE, 2017.
  • Sonia Bergamaschi, Giovanni Simonini and Song Zhu. Big Data Exploration with Faceted Browsing. Proceedings of the 10th Scientific Meeting of Classification and Data Analysis Group. 2015.
  • Simonini, G., & Zhu, S. (2015, July). Big data exploration with faceted browsing. In High Performance Computing & Simulation (HPCS), 2015 International Conference on (pp. 541-544). IEEE.
• Workshops
  
  • Luca Gagliardelli, Giovanni Simonini, Song Zhu and Giuseppe Fiameni. SparkER: an Entity Resolution framework for Apache Spark. IEEE Young Professional Event @ RTSI 2017.
• Book chapters
  • Sonia Bergamaschi, Domenico Beneventano, Federica Mandreoli, Riccardo Martoglia, Francesco Guerra, Mirko Orsini, Laura Po, Maurizio Vincini, Giovanni Simonini, Song Zhu, Luca Gagliardelli and Luca Magnotta. From Data Integration to Big Data Integration” in A Comprehensive Guide Through the Italian Database Research Over the Last 25 Years, Springer International Publishing, 2018.
  • Sonia Bergamaschi, Giovanni Simonini and Song Zhu. Enhancing big data exploration with faceted browsing, full paper, Post-Conference Proceedings volume Classification, (Big) Data Analysis and Statistical Learning, Springer International Publishing, 2017.

Skills

• SQL
• C++, Java, C#, Python, Scala
• Qlikview
• Apache Hadoop, Apache Spark, Apache Ignite