Dr. Xiufeng Liu

Senior Researcher
Department of Technology, Management and Economics
Technical University of Denmark

Address: Building 424, room 006, 2800 Kgs. Lyngby, Denmark

Email: xiuli@dtu.dk

CV: PDF Version

 

Biography

I am a Senior researcher (Associate Professor) at the Department of Technology, Management and Economics at Technical University of Denmark (DTU). I am a member of the research group of System Analysis within the university.

I did my PhD at the Department of Computer Science (Daisy research group) in Aalborg University (AAU) Denmark from August 2008 to May 2012. Prior to joining AAU, I was a scientific assistant in the Åbo Akademi University in Finland from September 2006 to July 2008. During January 2013 to December 2014, I was a postdoctoral researcher in the Data System Groups at University of Waterloo, Canada, and at the same period, I was cross-appointed as a research scientist by IBM Toronto research center.

Research Interests

I am interested in Smart Meter Data Analytics, Data Management (in particular, data warehousing), Big Data, and Data Mining. My current research includes:

  • Smart meter data analytics
    • Benchmarking smart meter data analytics systems and algorithms
    • Smart meter Data Analytics System
    • Anomaly energy consumption detection
  • Energy Informatics
  • Big data management, and ETL
  • Internet of Things

Publications

Peer-reviewed papers (*- corresponding author):

  1. X. Liu, Y. Yang, R. Li, and P. S. Nielsen. A stochastic model for residential user activity simulation. Accepted by Energies, 2019. [PDF]
  2. S. Khan, M. Alam, X. Liu, and K.A. Shakil. Big Data Technology-Enabled Analytical Solution for Quality Assessment of Higher Education Systems. International Journal of Advanced Computer Science and Applications, 10(6):292-304, 2019. [PDF]
  3. X. Liu, H. Huo,  N. Iftikhar, & P.S. Nielsen. A Two-Tiered Segmentation Approach for Transaction Data Warehousing. In Emerging Perspectives in Big Data Warehousing, pp. 1-27, IGI Global, 2019. [PDF]
  4. X. Liu, S. Bolwig, and P.S. Nielsen.  SmartM: A Non-intrusive Load Monitoring Platform, Workshop of the 22nd Business Information System, 2019. [PDF]
  5. X. Liu, N. Iftikhar, H. Huo, R. Li, P.S. Nielsen. Two Approaches for Synthesising Scalable Residential Energy Consumption Data, vol. 95, pp. 586-600, Journal of Future Computer Systems, 2019. [PDF]
  6. A. Kewo, P. Manembu, X. Liu,  P.S. Nielsen. Statistical Analysis for Factors Influencing Electricity Consumption at Regional Level. Proc. of IEEE 7th International Conference on Power and Energy (PECon), pp. 132-137, 2018. [PDF]
  7. C.W. Bülow and X. Liu*. CAT: A Ready-to-use Tool for Studying Climate Change Disaster Adaptation Behavior, Journal paper in submission, 2018.
  8. P. Manembu, A. Kewo, P.S. Nielsen, X. Liu, B. Welang, and A. Lapu. Architecture Design of Smart Meter Controlling System for Dynamic IP Environments. Proc. of International Conference on Intelligent Autonomous Systems (ICoIAS), pp. 175-179, 2018. [PDF]
  9. X. Liu, P. S. Nielsen. Scalable Prediction-based Anomaly Detection on Smart Meter Data. Information Systems, vol. 77, pp. 34-47, 2018. [PDF]
  10. L. Liu, H. Huo, X. Liu, V. Palade. Recognizing Textual Entailment with Attentive Reading and Writing Operations. Proc. of DASFAA, pp. 847-860, 2018. [PDF]
  11. P. Gianniou, X. Liu*, A. Heller, P. S. Nielsen, and C. Rode. Clustering-based Analysis for Residential District Heating Data. Journal of Energy Conversion & Management, vol. 165, pp. 840-850, 2018. [PDF]
  12. D. Ahlers, F. Kraemer, A. E. Bråten, X. Liu, F. Anthonisen, P. Driscoll and J. Krogstie. Analysis and Visualization of Urban Emission Measurements in Smart Cities (demo). Proc. of EDBT, pp. 698-701, 2018. [PDF]
  13. A. Kewo, P. Manembu, P. S. Nielsen, and X. Liu. Modelling of electricity consumption in one of Asia’s most populous cities - Jakarta, Indonesia. Proc. of the 12th Conference on Sustainable Development of Energy, Water and Environment Systems (SDEWES), 2017. [PDF]
  14. H. Huo, X. Liu, D. Zheng, Z. Wu, S. Yu, L. Liu. Collaborative Filtering Fusing Label Features Based on SDAE. Proc. of ICDM, pp. 223--236, 2017. [PDF]
  15. A. Heller, X. Liu, and P. Gianniou. Science Cloud for Smart Cities Research. Energy Procedia, vol. 122, pp. 679-684. [PDF]
  16. X. Liu, P. S. Nielsen, A. Heller, and P. Gianniou. SciCloud: A Scientific Cloud and Management Platform for Smart City Data. Proc. of DEXA Workshop, pp. 27-31, 2017. [PDF] [Slides]
  17. X. Liu, P. S. Nielsen, and A. Heller. An ICT-based Anomaly Detection Method for Smart Meter Data. Proc. of the 12th Conference on Sustainable Development of Energy, Water and Environment Systems (SDEWES), 2017. [PDF]
  18. N. Iftikhar, X. Liu, F. E. Nordbjerg, S. Danalachi, and J. H. Vollesen. A Scalable Smart Meter Data Generator Using Spark. Proc. of the 25th International Conference on Cooperative Information Systems, pp. 21-36, 2017.[PDF] [Slides]
  19. X. Liu, and P. S. Nielsen. Air Quality Monitoring System and Benchmarking. Proc. of the 19th International Conference on Big Data Analytics and Knowledge Discovery (DaWaK), pp. 459-470, 2017. [PDF] [Slides]
  20. X. Liu, P. S. Nielsen, and A. Heller. CITIESData: A Framework for Research Data Management for Smart CITIES. Journal of Knowledge and Information Systems (KAIS), 53(3):699-722, 2017. [PDF]
  21. P. Manembu, B. Welang, A. Lapu, A. Kewo, P. S. Nielsen, and X. Liu A Novel Smart Meter Controlling System with Dynamic IP Addresses. Proc. of the 26th IEEE International Symposium on Industrial Electronics (ISIE 2017). [PDF]
  22. S. Khan, X. Liu, K. A. Shkil, and M. Alam. A Survey of Scholarly Data: From Big Data Perspective. Information Processing and Management (IPM), 53(4):923-944, 2017. [PDF]
  23. X. Liu, N. Iftikhar, P. S. Nielsen, and A. Heller. Online Anomaly Energy Consumption Detection Using Lambda Architecture. Proc. of the 18th International Conference on Big Data Analytics and Knowledge Discovery (DaWaK), pp. 193-209, 2016. [PDF] [Slides]
  24. N. Iftikhar, X. Liu, F. E. Nordbjerg, and S. Danalachi. A Prediction-based Smart Meter Data Generator. Proc. of the 19th International Conference of Network-based Information Systems (NBIS), 2016. [PDF] [Slides]
  25. X. Liu, L. Golab, W. Golab, I. F. Ilyas, and S. Jin. Smart Meter Data Analytics: Systems, Algorithms and Benchmarking. ACM Transaction of Database System (TODS), 42(1), 2016. [PDF]
  26. X. Liu, P. S. Nielsen. An ICT-Solution for Smart Meter Data Analytics. Journal of Energy, 115(3):1710-1722, 2016. [PDF]
  27. X. Liu, N. Iftikhar, and P. S. Nielsen. Optimizing ETL by a Two-level Data Staging Method. Journal of International Journal of Data Warehousing and Mining (IJDWM), 12(3):32-50, 2016. [PDF]
  28. H. Huo, X. Liu, J. Li, and H. Yang. A Weighted K-AP Query Method for RSSI based Indoor Positioning. Proc. of the 27th Australasian Database Conference (ADC), pp. 150--163, 2016. [PDF]
  29. X. Liu, Per Sieverts Nielsen. Streamlining Smart Meter Data Analytics. Proc. of the 10th Conference on Sustainable Development of Energy, Water and Environment Systems, SDEWES2015.0558,1-14, 2015. [PDF]
  30. N. Iftikhar, X. Liu, and F. E. Nordbjerg. Relational-Based Sensor Data Cleansing. Proc. of 19th East-European Conference on Advances in Databases and Information Systems (ADBIS), pp. 108-118, 2015. [PDF]
  31. X. Liu, N. Iftikhar. An ETL Optimization Framework Using Partitioning and Parallelization. Proc. of the 30th ACM/SIGAPP Symposium On Applied Computing (SAC), pp. 1015-1022, 2015. [PDF]
  32. X. Liu, L. Golab, I. F. Ilyas. SMAS: A Smart Meter Data Analysis System (demo). Proc. of the 31st International Conference on Data Engineering (ICDE), pp. 1476-1479, 2015. [PDF]
  33. X. Liu, L. Golab, W. Golab, Ihab F. Ilyas. Benchmarking Smart Meter Data Analytics. Proc. of the 18th International Conference on Extending Database Technology (EDBT), pp. 385-396, 2015 (Paper of the best). [PDF]
  34. X. Liu, N. Iftikhar, and X. Xie, Survey of Real-time Processing Systems for Big Data. Proc. of the 18th International Database Engineering, Applications Symposium (IDEAS), pp. 356-361, 2014. [PDF]
  35. X. Liu, C. Thomsen, and T. B. Pedersen, CloudETL: Scalable Dimensional ETL for Hive. Proc. of the 18th International Database Engineering, Applications Symposium (IDEAS), pp.195-206, 2014. [PDF]
  36. X. Liu and N. Iftikhar. Ontology-based Big Dimension modelling in Data Warehouse Schema Design, Proc. of the 12th Business Information System (BIS), pp. 75-87, 2013. [PDF]
  37. X. Liu, C. Thomsen, and T. B. Pedersen, ETLMR: A Highly Scalable Dimensional ETL Framework Based on MapReduce. TLDKS III, LNCS 7790, 8:1-31, 2013. [PDF]
  38. X. Liu, C. Thomsen, and T. B. Pedersen. MapReduce-based Dimensional ETL Made Easy (demo). PVLDB 5(12): 1882-1885, 2012. [PDF]
  39. X. Liu, C. Thomsen, and T. B. Pedersen. 3XL: An Efficient DBMS-Based Triple-Store. Proc. of DEXA Workshops, pp. 284-288, 2012. [PDF]
  40. X. Liu, C. Thomsen, and T. B. Pedersen. 3XL: Supporting efficient operations on very large OWL Lite triple-stores. Journal of Information Systems, 36(4):765-781, 2011. [PDF]
  41. X. Liu, C. Thomsen, and T. B. Pedersen. ETLMR: A Highly Scalable Dimensional ETL Framework Based on MapReduce. Proc. of the 13th International Conference on Big Data Analytics and Knowledge Discovery (DaWaK), pp. 96-111, 2011 [PDF].
  42. X. Liu, C. Thomsen, and T. B. Pedersen. The ETLMR MapReduce-Based ETL Framework. Proc. of the 23rd Scientific and Statistical Database Management Conference (SSDBM), pp. 586-588, 2011. [PDF]
  43. X. Liu. A Data Warehouse Solution for E-Government. International Journal of Research and Reviews in Applied Sciences, 4(1):120-128, 2010. [PDF]
  44. S. Kang and X. Liu. Online Model-based Testing Design Using the Qtronic Tool. Journal of Northeast Normal University (Natural Science Edition), 42(4), 2010.

Technical Reports:

  1. X. Liu, C. Thomsen, and T. B. Pedersen. ETLMR: A Highly Scalable Dimensional ETL Framework Based on MapReduce, TR-29, Department of Computer Science, Aalborg University, 2011. [PDF]
  2. X. Liu, C. Thomsen, and T. B. Pedersen. CloudETL: Scalable Dimensional ETL for Hadoop and Hive, TR-30, Department of Computer Science, Aalborg University, 2012. [PDF]
  3. X. Liu, D. Truscan, and L. Lilius. Online Testing of the ABOT Game Server Using the Qtronic Tool, Turku Centre for Computer Science, 2008. [PDF]

Poster:

  1. X. Liu, Alfred Heller, P. S. Nielsen. SciCloud: A Scientific Cloud and Data Analysis Platform for Smart CITIES [PDF]
  2. X. Liu, and P. S. Nielsen. An Urban Greenhouse Gas Emissions Dashboard [PDF].
  3. X. Liu, and P. S. Nielsen. Streamlining Meter Data Analytics [PDF].
  4. X. Liu, P. S. Nielsen, and A. Heller. CITIESData: Towards Cloud-Based Big Data Management for Smart Cities [PDF].
  5. X. Liu, L. Golab, and I. llyas. SMAS: A Smart Meter Data Analytics System [PDF].
  6. X. Liu, C. Thomsen, and T. B. Pedersen. MapReduce-based Dimensional ETL Made Easy [PDF].

Book Chapters

  1. X. Liu, H. Huo, N. Iftikhar, and P. S. Nielsen. A Two-Tiered Segmentation Approach for Transaction Data Warehousing (110817-035954). Big Data Warehousing Book (Invitation) [PDF]

Other publications

  1. X. Liu. Regression-based Online Anomaly Detection for Smart Grid Data. Arxiv, CoRR abs/1606.05781, 2016 [PDF].
  2. X. Liu. Optimizing ETL Dataflow Using Shared Caching and Parallelization Methods. Arxiv, CoRR abs/1409.1639, 2014 [PDF].
  3. X. Liu. Two-level Data Staging ETL for Transaction Data. Arxiv, CoRR abs/1409.1636, 2014 [PDF].
  4. X. Liu, C. Thomsen, and T. B. Pedersen. All-RiTE: Right-Time ETL for Live DW Data, 12 pages, 2014 [PDF].

PhD Thesis

  • Data Warehousing Technologies for Large-scale and Right-time Data, defence on June 2012 [PDF]

Course Teaching

Supervision

Research Projects

I am working on the following research projects:

Scientific Services

Program Committee Member

  • International Conference on Mobile Systems and Pervasive Computing (MobiSPC, 2019 - )
  • International conference of the Internet of Things, Big Data and Security (IoTBG, 2016 - 2019)
  • International Symposium on Internet of Ubiquitous and Pervasive Things (IUPT 2017)
  • IEEE Electrical Power and Energy Conference (EPEC 2016)

Reviewer for Conferences and Journals

  • Journal of Knowledge and Information Systems, Springer (2018)
  • Journal of Computer Standards & Interfaces, Elsevier (2018)
  • The 13th Conference on Sustainable Development of Energy, Water and Environment Systems (SDEWES18)
  • International Journal of Electrical Power and Energy Systems (2018)
  • Journal of Data Knowledge Engineering (DKE, 2017)
  • The VLDB Journal (VLDBJ, 2017)
  • IEEE Transaction of Big Data (2016)
  • Information Systems (2016,2017,2019)
  • IoTBG (2016)
  • 26th International Conference on Scientific and Statistical Database Management (SSDBM, 2014)
  • Proceedings of the VLDB Endowment (PVLDB, 2014)
  • ICDCS (2013)

Open Source Software

I developed the following open source software systems in my previous research work (Github: https://github.com/xiufengliu):

  1. SEGSys: An online mapping system for segmentation analysis of energy consumption.
  2. CATool: A ready-to-use experiment tool for climate researchers to understand the pitfalls in adaptation decisions in behavioral economics
  3. IoTDashboard: This project is to create a dashboard that can collect indoor and outdoor climate data, and visualize the time series in real time.
  4. K-SC Clustering Algorithm on Spark
  5. DataGenerator-Cluster-Version: A scalable smart meter data generator on Spark
  6. CITIESData: A scalable smart city data management platform
  7. SMAS: A smart meter data analytics system
  8. CloudETL: A Scalable Dimensional ETL for Hive
  9. BigETL: A unified ETL platform for supporting various data processing technologies, including Spark, Hive, Hadoop, Python, Linux Shell script, etc.
  10. 3XL: An efficient OWL/RDF Triple Store Supporting Bulk Operations
  11. ETLMR: A Python-based Dimensional ETL Framework based on MapReduce (Obsolete)
  12. All-RiTE: A Right-time ETL middle-ware Supporting Insert, Update and Delete Operations (not released yet)
Last updated: July 2019