Professor Ts. Dr.-Ing. Lau Sian Lun

Professor Lau Sian Lun

Professor Ts. Dr.-Ing. Lau Sian Lun

  • Deputy Dean (Internationalisation)
Department of Computing and Information Systems
SDGs Focus

Biography

Professor Lau Sian Lun received both his MSc and Dr.-Ing. at the University of Kassel, Germany, where he worked as a full-time researcher since 2004. He has contributed and managed various German national as well as EU-funded projects, such as the EU FP6 MobiLife, the ITEA S4ALL, the BMBF MATRIX and the EU FP7 SEAM4US.

He joined Sunway University in 2013. He currently holds the roles of Deputy Dean (Internationalisation) at the School of Engineering and Technology.

He has published over 80 publications in conferences, workshops, book chapters as well as journals. His research interests include ubiquitous computing, sustainable smart city, context-awareness and applied machine learning.

He is currently a senior member of the Institute of Electrical and Electronics Engineers (IEEE) and serves as the Vice-chair of the IEEE Computer Society Malaysia Chapter (2023/24)
 

Academic & Professional Qualifications

  • Doktor der Ingenieurwissenschaften (Dr.-Ing.), Universität Kassel, Germany (2011)
  • MSc in Electrical Communication Engineering, Universität Kassel, Germany (2004)
  • BEng in Electronics and Telecommunications (Hons), Universiti Malaysia Sarawak, Malaysia (2000)

Research Interests

  • Ubiquitious computing
  • Sustainable smart city
  • Context-awareness
  • Applied Machine Learning
  • STEM Education

Teaching Areas

  • Programming
  • IoT and Smart Systems
  • Big Data Analytics
  • Cloud Computing
  • Entrepreneurship

Courses Taught

  • Programming for Engineers
  • Big Data Analytics in the Cloud
  • Startup Foundry
  • Smart Technology and IoT
  • Big Data Management
  • Cloud Infrastructure and Service

Notable Publications

  1.  M. O. Adisa, S. Oyedeji, J. Porras, L. Abdullai, and S. L. Lau, “Susthack: A hackathon approach for engaging citizens and fostering a sustainability mindset,” in Annual Symposium for Computer Science 2023 (TKTP 2023), June 2023.
  2. R. K. Pathan, F. I. Alam, S. Yasmin, Z. Y. Hamd, H. Aljuaid, M. U. Khandaker, and S. L. Lau, “Breast cancer classification by using multi-headed convolutional neural network modeling,” Healthcare, vol. 10, no. 12, p. 2367, Nov 2022.
  3. H. K. Biswas, S. L. Lau, and T. Y. Sim, “Impact of digitalization in construction: Enriching as-built facilities and operations using bim,” in 2022 IEEE International Conference on Computing (ICOCO), 2022, pp. 346–351.
  4. R. K. Pathan, W. L. Lim, S. L. Lau, C. C. Ho, P. Khare, and R. B. Koneru, “Experimental analysis of u-net and mask r-cnn for segmentation of synthetic liquid spray,” in 2022 IEEE International Conference on Computing (ICOCO), 2022, pp. 237–242.
  5. T. Y. Sim and S. L. Lau, “Review on challenges and solutions in novice programming education,” in 2022 IEEE International Conference on Computing (ICOCO), 2022, pp. 55–61.
  6. T. Y. Sim, M. Teow, and S. L. Lau, “Unplugged Computational Thinking Activities Framework Development for Novice Programmer,” in 2021 IEEE International Conference on Computing (ICOCO), 2021, pp. 297–302.
  7. S. L. Lau, J. Lew, C. C. Ho, and S. Su, “Exploratory Investigation on a Naive Pseudo-labelling Technique for Liquid Droplet Images Detection using Semi-supervised Learning,” in 2021 IEEE International Conference on Computing (ICOCO), 2021, pp. 353–359.
  8. K. I. Ahmed, M. Tahir, M. H. Habaebi, S. L. Lau, and A. Ahad, “Machine Learning for Authentication and Authorization in IoT: Taxonomy, Challenges and Future Research Direction,” Sensors, vol. 21, no. 15, 2021.
  9. T. Nandy, M. Y. I. B. Idris, R. Md Noor, L. Mat Kiah, S. L. Lau, N. B. Annuar Jumaat, I. Ahmedy, N. Abdul Ghani, and S. Bhattacharyya, “Review on security of internet of things authentication mechanism,” IEEE Access, vol. 7, pp. 151 054–151 089, 2019.
  10. T. Y. Sim and S. L. Lau, “Online tools to support novice programming: A systematic review,” in 2018 IEEE Conference on e-Learning, e-Management and e-Services (IC3e), Nov 2018, pp. 91–96.
  11. J. C. Quiroz, A. Banerjee, S. M. Dascalu, and S. L. Lau, “Feature Selection for Activity Recognition from Smartphone Accelerometer Data,” Intelligent Automation & Soft Computing, vol. 23, no. 0, pp. 1–9, 2017.
  12. C. Toh and S. L. Lau, “Indoor Positioning using Existing Wi-Fi Infrastructure: A Case Study at a University Building,” in The 22nd International Conference on Virtual Systems and Multimedia (VSMM 2016), Oct. 17-20 2016.
  13. K.-L. A. Yau, S. L. Lau, H. N. Chua, M. H. Ling, V. Iranmanesh, and S. C. C. Kwan, “Greater kuala lumpur as a smart city: A case study on technology opportunities,” in 2016 8th International Conference on Knowledge and Smart Technology (KST). IEEE, 2016, pp. 96–101.
  14. S. L. Lau, C. Toh, and Y. Saleem, “Wi-Fi Fingerprint Localisation using Density-based Clustering for Public Spaces: A Case Study in a Shopping Mall,” in 2016 6th International Conference – Cloud System and Big Data Engineering (Confluence), Jan. 14-15 2016.
  15. S. L. Lau and S. M. S. Ismail, “Towards a real-time public transport data framework using crowd-sourced passenger contributed data,” in First International Workshop on Mobile and Context Aware Services (MOCS2015), Sept. 6-9 2015.
  16. Z. Q. Ik, S. L. Lau, and J. B. Chan, “Mobile Cataract Screening App Using a Smartphone,” in 2015 IEEE Conference on e-Learning, e-Management and e-Services (IC3e 2015), Aug. 24-26 2015.
  17. Y. Xu, S. L. Lau, R. Kusber, and K. David, “DCCLA: Automatic Indoor Localization Using Unsupervised Wi-Fi Fingerprinting,” in Modeling and Using Context, ser. Lecture Notes in Computer Science, P. Brzillon, P. Blackburn, and R. Dapoigny, Eds. Springer Berlin Heidelberg, 2013, vol. 8175, pp. 73–86.
  18. S. L. Lau, Towards a user-centric context aware system: empowering users through activity recognition using a smartphone as an unobtrusive device. kassel university press GmbH, Jan. 2012.
  19. S. L. Lau, Y. Xu, and K. David, “Novel Indoor Localisation using an Unsupervised Wi-Fi Signal Clustering Method,” in Future Network and Mobile Summit 2011, Warsaw, Poland, Jun. 15-17 2011, pp. 1 –8.
  20. S. L. Lau, I. K ̈onig, K. David, B. Parandian, C. Carius-D ̈ussel, and M. Schultz, “Supporting patient monitoring using activity recognition with a smartphone,” in 7th International Symposium on Wireless Communication Systems (ISWCS), 2010, Sept. 19-22 2010, pp. 810 – 814.
  21.  S. L. Lau and K. David, “Movement recognition using the accelerometer in smartphones,” in Future Network and Mobile Summit 2010, Florence, Italy, Jun. 16-18 2010, pp. 1–9.

    Hyperlink to full list: https://sianlun.wordpress.com/publications/

 

Achievements & Accolades

  1.  Cloud-based intelligent Measurement, Monitoring and Analytics System in support of Radiation Medicine, Oct 2021 - Sept 2023 – funded under the Technology Development Fund 2 (TED2), Ministry of Science, Technology and Innovation (MOSTI), Malaysia
  2. Development of a framework for unplugged computational thinking activities in improving the interest and skills in programming, Sept 2021 – Sept 2023 – funded under the Fundamental Research Grant Scheme (FRGS), Ministry of Higher Education Malaysia
  3. DeepSpray+: Improved Post Processing of Images from Liquid Atomization Simulations, Sept 2020 – March 2024 – funded under the U.S. Army International Technology Center Pacific funding
  4. SustHack – Synchronizing sustainable development actions between Finland and Malaysia – the Hackathon approach, Nov 2019 – Dec 2023 – funded by the Finnish National Agency for Education (EDUFI)
  5. Research Grant for Petrosains Design Thinking Process (PDTP) Online Course Platform, Feb 2020 - Sept 2020, Petrosains Grant
  6. The impact of Computational Thinking skills on the Programming Skills of Novice Programmer, and Programmers with at least 30 hours of exposure, Jan 2020 - Dec 2020, Sunway Internal Grant scheme.
  7. ProtoPolicyAsia: empowering local communities and Government in Malaysia in addressing social issues in ageing and disabilities,  Feb 2019 - Jan 2020, UK Art & Humanities Research Council (AHRC) GCRF Highlight Notice for International Development Grant
  8. Driver Attention Management for Onroad Safety using IoT and Context-Awareness, Jan 2019 - Dec 2019, Sunway Internal Grant scheme
  9. Smart and Security Enhanced Transportation Ecosystem for a Future Sustainable Smart City,  Sep 2018 - Aug 2020, Matching Grant between Sunway University and University of Malaya
  10. Framework for Community Resilience Assessment and Measurement (FRAME),  Jan 2018 - Sep 2018, Lancaster University Global Challenge Research Fund (GCRF seedcorn).
  11. ImaginAging, Jan 2018 - Sep 2018, Lancaster University Global Challenge Research Fund (GCRF seedcorn)
  12. Sunway Indoor GPS System, Jul 2014 – June 2017, Sunway University- ITSSC MOU Collaboration R&D Grant
  13. A crowd-source based mobile application system for future smart city,  Sep 2014 -Dec 2016, Sunway-Lancaster Small Grant Scheme (£7,500).
  14. Applying SAX-based Time Series Analysis to classify EEG signal using a COTS EEG device, Jun 2014 -May 2015, Sunway Internal Grant scheme
  15. Assistive Caretaker: A model for recognition of challenging behaviors for special children,  Sep 2013 - Aug 2014, Swinburne Sarawak Research Grant 2013
  16. SEAM4US (Sustainable Energy mAnageMent for Underground Stations), Oct 2011 - Jan 2013, EU FP7 (EnergyEfficient Buildings) funded project. (Full duration of project - Oct. 2011 - Sept. 2014).
    MATRIX (MiddlewarePlattform für die Realisierung internetbasierter telemedizinischer Dienste),  Jan 2009 - Mar 2012, German Federal Ministry of Education and Research (BMBF) funded project.
  17. S4ALL (Services for All),  Apr 2006 - Feb 2008, EU ITEA/German Federal Ministry of Education and Research (BMBF) funded project.
  18. MobiLife, Oct 2004 - Dec 2006, EU CORDIS FP6 funded project

 

 

Professional Associations

1.    Institute of Electrical and Electronics Engineers (IEEE) - Senior member (No. 90886544)
2.    IEEE Computer Society Malaysia - Vice-Chair (2023-2024), Secretary (2021-2022), Executive committee 2017 to 2020
3.    Board of Engineers Malaysia (BEM) - Graduate Engineer in Electronic (No. 172122A)
4.    The Institution of Engineering and Technology (IET) - Member (No. 1100850966)
5.    Malaysia Board of Technologists (MBOT) - Graduate Technologist in Information Technology (No. GT18030377)
6.    Malaysia Board of Technologists (MBOT) - Professional Technologist in Information Technology (No. PT18030411)
7.    International Association for Convergence Science & Technology(IACST) -Malaysia Director
 

Media

Preview image for the staff video "Tutorial - Hadoop Streaming using Python scripts on an AWS EC2 Cluster".
Preview image for the staff video "Walkthrough - Setting up EC2 Hadoop Cluster on AWS".
Preview image for the staff video "Amazon EMR - Security Rule to allow SSH connection from your Putty".
Preview image for the staff video "Walkthrough - Amazon EMR setup and ssh remote connect".
Preview image for the staff video "Amazon EMR - SSH connection and Cluster Termination".