Dong Deng

Dong Deng is an Associate Professor in the Department of Computer Science at Rutgers University, School of Arts and Sciences. He joined Rutgers University in 2019 as an Assistant Professor and has since been promoted to Associate Professor. His research is conducted through the Data Curation Lab within the Database Group.

Dong Deng received his PhD from Tsinghua University and completed postdoctoral training at MIT CSAIL. His academic journey has positioned him as a leading researcher in database systems and data management.

Dong Deng's research focuses on data management, data science, and database systems, with an emphasis on developing novel algorithms and building practical systems to address data problems. His primary research areas include scalable data curation (covering textual, structured, and feature data curation), data manipulation and wrangling at scale, data integration, data cleaning, data discovery, and scientific dataset management. His work bridges theoretical foundations with practical implementations, particularly in the areas of similarity search, approximate nearest neighbor algorithms, and data integration techniques. His research has significant applications in big data processing, entity resolution, and data lake management.

Dong Deng has published extensively in top venues including SIGMOD, PVLDB, and ICDE. His recent publications demonstrate a strong focus on near-duplicate detection, efficient algorithms for similarity search, and data curation techniques. His work shows a consistent trajectory toward more complex and scalable solutions for data management challenges, with increasing emphasis on high-dimensional data and large language model applications.

• NSF III: Small: Large-Scale High Dimensional Dense Vector Management (2022)
• NSF CDSE: Computation-Informed Learning of Melt Pool Dynamics for Real-Time Prognosis (2022)
• SIGMOD Student Programming Contest 2022 Second Place

Dong Deng has secured significant research funding and actively mentors students. He has served in various leadership roles within the academic community including Digital Platform Chair for VLDB 2023 and Student Mentorship co-Chair for SIGMOD 2022 and 2021. He teaches advanced courses in database systems and data management at Rutgers University.

Dong Deng leads the Data Curation Lab, which focuses on developing innovative solutions for data management challenges. The lab has produced influential research with practical applications across multiple domains requiring sophisticated data processing capabilities.