Big Data Management and Mining Laboratory

Data Science Track

Real-World Impact: We dive into complex, real-world problems, developing data-driven solutions that encompass the entire data science lifecycle.

Big Data V5 Challenges: Tackling the challenges of Volume, Velocity, Variety, Veracity, and Value, we design and implement innovative decision-making systems.

Applications: Our research spans multiple domains, including Health Informatics, Computational Genetics, IoT, Intelligent Transportation, and Scientific Computing.

Data Management and Mining Track

Complementing Data Science: We take practical problems from the Data Science track and rigorously study them as novel data management and mining challenges.

Focus Areas: Our expertise covers Spatiotemporal Data Management and Mining, Graph Data Management and Mining, High-Throughput Data Management using Modern Hardware, and Next-Generation Database Engines (NewSQL).