Dr Xiufeng Liu

Senior Researcher
Department of Management Engineering
Technical University of Denmark

Address: Building 426, room 125, 2800 Kgs. Lyngby, Denmark

Email: xiuli@dtu.dk

CV: PDF Version



Biography

I am a Senior researcher at the Department of Management Engineering in Technical University of Denmark (DTU). I am a member of the research group of Climate Change and Sustainable Development (CCSD) 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 research group of Information System and Science Energy (ISS4E) at University of Waterloo, Canada, and at the same period I was co-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, N. Iftikhar, H. Huo, R. Li, P.S. Nielsen. Two Approaches for Synthesising Scalable Residential Energy Consumption Data, Journal paper in submission, 2018.
  2. C.W. Bülow and X. Liu*. CAT: A Ready-to-use Tool for Studying Climate Change Disaster Adaptation Behavior, Journal paper in submission, 2018.
  3. X. Liu, P. S. Nielsen. Scalable Prediction-based Anomaly Detection on Smart Meter Data. Information Systems, vol. 77, pp. 34-47, 2018. [PDF]
  4. 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]
  5. 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]
  6. 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]
  7. X. Liu, R. Li, and P. S. Nielsen. User Activity Simulation for Residential Buildings. In Submission, 2018. [PDF]
  8. A. Kewo, P. Manembu, P. S. Nielsen, and X. Liu. Modelling of electricity consumption in one of the Asia’s most populous cities - Jakarta, Indonesia. Proc. of the 12th Conference on Sustainable Development of Energy, Water and Environment Systems (SDEWES), 2017. [PDF]
  9. 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]
  10. A. Heller, X. Liu, and P. Gianniou. Science Cloud for Smart Cities Research. Energy Procedia, vol. 122, pp. 679-684 . [PDF]
  11. 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]
  12. 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]
  13. 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]
  14. 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]
  15. 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]
  16. 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]
  17. 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]
  18. 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]
  19. 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]
  20. 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]
  21. X. Liu, P. S. Nielsen. An ICT-Solution for Smart Meter Data Analytics. Journal of Energy, 115(3):1710-1722, 2016. [PDF]
  22. 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]
  23. 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]
  24. 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]
  25. 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]
  26. 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]
  27. 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]
  28. 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]
  29. 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]
  30. 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]
  31. X. Liu and N. Iftkhar. Ontology-based Big Dimension modeling in Data Warehouse Schema Design, Proc. of the 12th Business Information System (BIS), pp. 75-87, 2013. [PDF]
  32. 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]
  33. X. Liu, C. Thomsen, and T. B. Pedersen. MapReduce-based Dimensional ETL Made Easy (demo). PVLDB 5(12): 1882-1885, 2012. [PDF]
  34. X. Liu, C. Thomsen, and T. B. Pedersen. 3XL: An Efficient DBMS-Based Triple-Store. Proc. of DEXA Workshops, pp. 284-288, 2012. [PDF]
  35. 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]
  36. 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].
  37. 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]
  38. X. Liu. A Data Warehouse Solution for E-Government. International Journal of Research and Reviews in Applied Sciences, 4(1):120-128, 2010. [PDF]
  39. 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


Course Teaching

  • 42280 Smart, Connected, and Livable Cities E18 (Part 2: Internet of Things): Postgraduate course, 150 hours, Autumn 2018
  • Database System: 40 hours, Spring 2010
  • Object-oriented Programming in C#: 75 hours, Fall 2009
  • Object-oriented Programming in C#: 75 hours, Fall 2008
  • OOD & OOA in JAVA: 35 hours, Spring 2009

Supservision

  • PhD student: Angreine Kewo (2016.04- present), co-supervised by Per Sieverts Nielsen

Research Projects

I am working on the following research projects:

  • CITIES: Centre for IT-Intelligent Energy Systems in Smart Cities, Role: WP1 lead since August 2018, Period: 01/01/2015 – 31/12/2020
  • ClairCity: Citizen-led air pollution reduction in cities (EU H2020 project), Role: Participant, Period: 01/07/2017 – 31/01/2019
  • SciCloud: A Private Scientific Cloud Platform, Role: Participant, Period: 01/01/2017 – 30/06/2018
  • SCA: Smart City Accelerator, Role: Participant, Period: 01/07/2017 – 31/08/2019
  • Roskilde Smart Monitoring Household project, Role: Principal Investigator, Period: 01/01/2018 – 05/31/2019
  • CTT: Carbon track and trace, Role: Participant, Period: 01/06/2015 – 31/12/2016

Scientific Services

Program Commitee Member

  • 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)
  • 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 the dashboard that can collect indoor and outdoor climate data, and visualize the time series in a 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: Oct. 2018