Hua Lu's Research Supervisees

• Mikkel Pedersen (RUC, RA/Postdoc)
  
• Tiantian Liu (RUC, 2022-2023. Current employment: Assistant Professor, Aalborg University)
  
• Harry Kai-Ho Chan (RUC, 2020-2022. Current employment: Lecturer in Data Science, The University of Sheffield)
  
• Huan Li (AAU, 2019-2020. Current employment: ZJU100 Young Professor, Zhejiang University)
  

• Nikolaj Blæser (RUC, 2022- ). Topic: Predicting Shipping Market Dynamics. (Main supervisor, co-supervised by Line Reinhardt)
  
• Bugvi Benjamin Jonleifsson Magnussen (RUC, 2022- ). Topic: AIS Data Driven Ship Behavior Modelling. (Main supervisor, co-supervised by Line Reinhardt)
  
• Masoumeh Vahedi (RUC, 2022-2023. Supervision terminated). Topic: Learned indexes and queries for spatial data.
  
• Jialiang Li (RUC, 2022- ). Topic: Learned index for trajectory databases.
  
• Xiao Li (RUC, 2020- ). Topic: Indoor Location Uncertainty.
  
• Tiantian Liu (AAU, graduated in 2022). Topic: Spatial Queries for Indoor Location-based Services.
  
  • Current employment: Assistant Professor at AAU
• Pengfei Li (ZJU, graduated in 2021). Topic: User Understanding and Applications based on Social Media Data. (Overseas supervisor, main supervisor Gang Pan)
  
  • First employment: Alibaba DAMO Academy
• Jinling Jiang (AAU, graduated in 2020). Topic: Improving Marketing Intelligence Using Online User-Generated Contents.
  
  • Current employment: MiningLamp
• Asif Iqbal Baba (AAU, graduated in 2016). Topic: Indoor RFID Data Cleansing. (Main supervisor, co-supervised by Torben Bach Pedersen)
  
  • First employment: Tuskegee University, USA
• Tanvir Ahmed (AAU, graduated in 2016). Topic: Analytics on Indoor Moving Objects: A study on RFID based Airport Baggage Handling System. (Co-supervisor, main supervisor Torben Bach Pedersen)
  
  • First employment: RadioAnalyzer, Denmark

• Chunlei Wen (PhD student from Wuhan University, 2022-2023). Topic: Anomaly Detection from Big Spatial Data.
• Yijie Xie (Bachelor student from Hong Kong Baptist University, June 2019). Topic: Indoor Keyword Search.
• Ronghao Ni (Bachelor student from Hong Kong Baptist University, June 2019). Topic: Indoor Keyword Search.
• Zijin Feng (Bachelor student from Hong Kong Baptist University, June to July 2018). Topic: Indoor Local Search.
• Haixin Wang (Bachelor student from Hong Kong Baptist University, June to July 2018). Topic: Learned Database Indexes.
• Pengfei Li (Bachelor student from Zhejiang University, December 2015 to May 2016). Topic: Social Data Management.
• Jinpeng Chen (PhD student from Beihang University, September 2014 to August 2015). Topic: Spatial Keyword Search Evaluation. (Co-supervision with Christian S. Jensen)
  
• Huan Li (PhD student from Zhejiang University, September 2014 to January 2015). Topic: Query Processing for Indoor Spaces.
  

• Daniel Vestmar Norén and Hamed Vadai (RUC): Personalized and Diversified News Article Recommender System, E23.
• Gabriel Nastasiu and Christian-Ferdinand Mailáth (RUC): Predicting revenues and expenses in shipping industry by using ML, F23.
• Tobias Dolma Eichler, Thomas Mortensen, Mathias Ravn Stephansen og Louise Lundegaard (RUC): Product information extraction using AI, F23.
• Andrei Ilisei (RUC): The evolution of Web Development from Web 1.0 to Web 3.0, E22.
• Om Bikram Rana (RUC): User role-based indoor navigation using Augmented Reality, F22.
• Alex Tao Korsgaard Wogelius: Record Matching (RUC): Data quality maintenance in a danish municipality, E21.
• Jesper Tetsche Wittendorff Eriksen, Jacob Jeppesen Fivelsdal (RUC): Serverless Computing: Developing a web application backend with FaaS, E21.
• Saroj Adhikari, Ashish Kumar Chhetri (RUC): User-friendly Indoor Navigation, E21.
• Christopher Borum, Kristian Oliver Glumsøe Nielsen, Kristoffer Noga (RUC): WBT: A WebAssembly Benchmarking Tool for Measuring Algorithm Performance, F21.
• Cristian-FlorinPandele (RUC): The Case of Event Sourcing against Traditional Persistence Systems and Usefulness in Occasionally Connected Client Architecture, F21.
• Ivan Nikolaev Serafimov, Adnan Khan (RUC): Dwell time modeling of vessels at Aarhus port using AIS data, E20.
• Magnus Larsen (RUC): Investigating the benefits of moving preprocessing steps in a Deep Learning-based DeepFake detection pipeline from a server to a client, E20.
• Mikkel Pedersen (RUC): Towards Hierarchical Parameter Adjustment Within Deep Learning, F20. (Co-supervision with Henning Christiansen)
• Casper A. Jørgensen, Mert Ince (RUC): Recognizing Emotions from Facial Expressions with Deep Learning, F20. (Co-supervision with Henning Christiansen)
• Mark Holst, Jesper Hedegaard (AAU): Adaptive Learned Index, 2019.
• Rasmus Vraa Bilgram, Per Hedegaard Nielsen (AAU): Cost Models for Learned Index with Insertions, 2019.
• Martin Folmer, Theevaahar Karunanithi, Raphael Neumann (AAU): A Learned Bucket Index Supporting Spatial Queries, 2019.
• Spardha Jaiswal (AAU): Indoor Location-based Recommender System, 2018.
• Aiste Pilvinyte (AAU): Middleware-free Approach for Indoor Space Shortest Path Queries, 2013.
• Mikkel Svendstrup Boysen, Christian de Haas (AAU): Data Management for Indoor Navigation, 2013.
• Kasper Mullesgaard, Jens Laurits Pedersen (AAU): Skyline Query Processing in MapReduce, 2013.
• Artur Baniukevic, Douydas Sabonis (AAU): Hybrid Indoor Positioning: An Empirical Study in Cassiopeia, 2010.
• Jonas T. Hansen, Stig Jøgensen (AAU): A Real-Time Data Warehouse Solution for Analysis on Indoor Tracking Data, 2009.
• Lasse Soelberg, Peter G. Poulsen (AAU): A Mobile Solution for the Home Care Sector in Herning Municipality, 2009.