Research topics

Multi-model data management 

As more businesses realized that data, in all forms and sizes, is critical to making the best possible decisions, we see the continued growth of systems that support a massive volume of non-relational or unstructured forms of data. Our research focus is to develop new theories and algorithms of a novel multi-model database management system to manage both well-structured data and NoSQL data. Our approach will reduce integration issues, simplify operations, and eliminate migration issues between relational and NoSQL data.

Selected papers:

Jiaheng Lu, Irena Holubova : Multi-model Databases: A New Journey to Handle the Variety of Data, ACM Computing Surveys 2019 

Jiaheng Lu, Irena Holubova, Bogdan Cautis: Multi-model Databases and Tightly Integrated Polystores CIKM 2018 Tutorial 

Jiaheng Lu, Irena Holubova: Multi-model Data Management: What's New and What's Next? EDBT 2017 Tutorial 

Chao Zhang, Jiaheng Lu, Pengfei Xu, Yuxing Chen: UniBench: A Benchmark for Multi-model Database Management Systems. TPCTC 2018: 7-23