Hua LU

Professor
Department of Computer Science
Aalborg University

A.C. Meyers Vænge 15, 3-2-06
2450 København SV
Denmark

Tel: +45 9940 9973
Email: LastName+FirstName "AT" cs aau dk

Photographed by Mads Folmer Jensen
Photographed by Mads Folmer Jensen
Projects Publications Services Students Teaching

I am a professor at the Data Engineering, Science and Systems (DESS) research group, Department of Computer Science, Aalborg University (AAU). I work in AAU Copenhagen campus, where its IT related education and research are growing. From April 2020 to January 2025, I was a professor at the Programming, Logic and Intelligent Systems (PLIS) research group, Department of People and Technology, Roskilde University (RUC). I obtained my PhD degree from the School of Computing, National University of Singapore (NUS), and my BSc (CS/Software) and MSc (GIS) degrees from Peking University (PKU), China.

My research generally concerns data management, spanning database, data mining, big data and data science. My work involves different types of data such as spatial data, mobility data (e.g, GPS trajectories and AIS data), indoor positioning data (e.g., RFID, Bluetooth and Wi-Fi data), and social media data (e.g., Tweets). A good deal of my research pays particular attention to locations, either explicit or implicit, in the data. A general purpose of such research is to find valuable information and knowledge efficiently from the data, which in turn are expected to enable, improve, and enrich location based services in various, especially non-conventional, scenarios. Recently, I've been working on data quality, indexes, queries, analytics and recommendation in spatial and social contexts, with a particular interest in designing efficient and effective methods that apply machine learning techniques.

Currently I work on several research projects. Two IFD-funded industrial PhD projects focus on making use of AIS data to model ship behavior and predict shipping market dynamics. The Villum Synergy project DiRec investigates diversity related issues in digital news recommendation. The DFF-funded AI4Spatial empowers big spatial data management with machine learning techniques.

I've served as PC co-chair for SSTD 2025, PC vice chair for IEEE BigData 2022, PC co-chair for NDBC 2019, MDM 2012 and ISA 2011, vice PC chair for MUE 2011, PhD forum co-chair for MDM 2016 and 2022, and demo track chair for SSDBM 2014. I have also served on the program committees for conferences and workshops including VLDB, ICDE, WWW, KDD, CIKM, SSTD, MDM, ACM SIGSPATIAL GIS, DASFAA, PAKDD, SDM, APWeb, MobiDE, ISA, and others. From June 2021 to January 2025, I served as RUC's contact person at Digital Research Centre Denmark (DIREC). I also served on the Education and Networking Committee of Danish Data Science Academy (DDSA) from January 2022 to June 2024.

To prospective students
If you're interested in working with me as a PhD student or a visiting student in my team, you're welcome to contact me via email. I will be happy to help you apply for tuition waiver from our university and financial support from Danish foundations or other relevant agencies.

[Selected Recent Publications] [DBLP, Google Scholar] [Awards/Honors] [Resources]
Last modified: Feb 2025
eXTReMe Tracker