Mark Kok Yew Ng

Mark Kok Yew Ng

Senior Lecturer, Ulster University.

Selected Key Publications

Preprints

  1. S. Wucherer, R. McMurray, K. Y. Ng, and F. Kerber (2024), Predicting Maximum Permitted Process Forces for Object Grasping and Manipulation Using a Deep Learning Regression Model, arXiv preprint arXiv:2402.11412.
  2. S. Wucherer, R. McMurray, K. Y. Ng, and F. Kerber (2023), Learning to Predict Grip Quality from Simulation: Establishing a Digital Twin to Generate Simulated Data for a Grip Stability Metric, arXiv preprint arXiv:2302.03504.

Journal Articles

  1. N. McCallan, S. Davidson, K. Y. Ng, P. Biglarbeigi, D. Finlay, B. L. Lan, and J. McLaughlin (2023), Epileptic multi-seizure type classification using electroencephalogram signals from the Temple University Hospital Seizure Corpus: A review, Expert Systems with Applications, pp. 121040.
  2. O. Escalona, N. Cullen, I. Weli, N. McCallan, K. Y. Ng, and D. Finlay (2023), Robust Arm Impedocardiography Signal Quality Enhancement Using Recursive Signal Averaging and Multi-Stage Wavelet Denoising Methods for Long-Term Cardiac Contractility Monitoring Armbands, Sensors, vol. 23, no. 13, pp. 5892. DOI:10.3390/s23135892
  3. T. Fairooz, S. E. McNamee, D. Finlay, K. Y. Ng, and J. McLaughlin (2023), A novel patches-selection method for the classification of point-of-care biosensing lateral flow assays with cardiac biomarkers, Biosensors and Bioelectronics, vol. 223, pp. 115016. DOI:10.1016/j.bios.2022.115016
  4. K. Y. Ng, T. A. Cordeanu, M. M. Gui, P. Biglarbeigi, D. Finlay, and J. McLaughlin (2022), Development of a mathematical model to predict the health impact and duration of SARS-CoV-2 outbreaks on board cargo vessels, WMU Journal of Maritime Affairs. DOI:10.1007/s13437-022-00291-1
  5. M. Jing, K. Y. Ng, B. MacNamee, P. Biglarbeigi, R. Brisk, R. Bond, D. Finlay, and J. McLaughlin (2021), COVID-19 Modelling by Time-varying Transmission Rate Associated with Mobility Trend of Driving via Apple Maps, Journal of Biomedical Informatics, pp. 103905. DOI:10.1016/j.jbi.2021.103905
  6. L. J. Robertson, J. S. Moore, K. Blighe, et al. (2021), Evaluation of the IgG antibody response to SARS CoV-2 infection and performance of a lateral flow immunoassay: cross-sectional and longitudinal analysis over 11 months, BMJ Open, vol. 11, no. 6, e048142. DOI:10.1136/bmjopen-2020-048142
  7. P. Biglarbeigi, K. Y. Ng, D. Finlay, R. Bond, M. Jing, and J. McLaughlin (2021), Sensitivity analysis of the infection transmissibility in the UK during the COVID-19 pandemic, PeerJ, pp. e10992. DOI:10.7717/peerj.10992
  8. T. D. Do, M. M. Gui, and K. Y. Ng (2021), Assessing the effects of time-dependent restrictions and control actions to flatten the curve of COVID-19 in Kazakhstan, PeerJ, pp. e10806. DOI:10.7717/peerj.10806
  9. K. Y. Ng and M. M. Gui (2020), COVID-19: Development of a Robust Mathematical Model and Simulation Package with Consideration for Ageing Population and Time Delay for Control Action and Resusceptibility, Physica D: Nonlinear Phenomena, vol. 411, pp. 132599. DOI:10.1016/j.physd.2020.132599
  10. K. Y. Ng, E. Frisk, M. Krysander, and L. Eriksson (2020), A Realistic Simulation Testbed of A Turbocharged Spark Ignited Engine System: A Platform for the Evaluation of Fault Diagnosis Algorithms and Strategies, IEEE Control Systems Magazine, vol. 40, no. 2, pp. 56–83. DOI:10.1109/MCS.2019.2961793
  11. S. J. W. Tang, V. Kalavally, K. Y. Ng, C. P. Tan, and J. Parkkinen (2018), Real-Time Closed-Loop Color Control of A Multi-Channel Luminaire Using Sensors Onboard A Mobile Device, IEEE Access, vol. 6, pp. 54751–54759. DOI:10.1109/ACCESS.2018.2872320
  12. D. Jung, K. Y. Ng, E. Frisk, and M. Krysander (2018), Combining model-based diagnosis and data-driven anomaly classifiers for fault isolation, Control Engineering Practice, vol. 80, pp. 146–156. DOI:10.1016/j.conengprac.2018.08.013
  13. L. H. Lee, T. Y. Wu, K. P. Y. Shak, S. L. Lim, K. Y. Ng, M. N. Nguyen, and W. H. Teoh (2018), Sustainable approach to biotransform industrial sludge into organic fertilizer via vermicomposting: A mini-review, Journal of Chemical Technology and Biotechnology, vol. 93, pp. 925–935. DOI:10.1002/jctb.5490
  14. J. H. T. Ooi, C. P. Tan, S. Nurzaman, and K. Y. Ng (2017), A Sliding Mode Observer for Infinitely Unobservable Descriptor Systems, IEEE Transactions on Automatic Control, vol. 62, no. 7, pp. 3580-3587. DOI:10.1109/TAC.2017.2665699
  15. S. Tang, V. Kalavally, K. Y. Ng, and J. Parkkinen (2017), Development of a prototype smart home intelligent lighting control architecture using sensors onboard a mobile computing system, Energy and Buildings, vol. 138, pp. 368–378. DOI:10.1016/j.enbuild.2016.12.069
  16. J. Y. Ng, C. P. Tan, H. Trinh, and K. Y. Ng (2016), A common functional observer scheme for three systems with unknown inputs, Journal of The Franklin Institute, vol. 353, no. 10, pp. 2237–2257. DOI:10.1016/j.jfranklin.2016.03.020
  17. J. Y. Ng, C. P. Tan, K. Y. Ng, and H. Trinh (2015), New results in common functional state estimation for two linear systems with unknown inputs, International Journal of Control, Automation and Systems, vol. 13, no. 6, pp. 1538–1543. DOI:10.1007/s12555-014-0315-x
  18. J. H. T. Ooi, C. P. Tan, and K. Y. Ng (2015), State and fault estimation for infinitely unobservable descriptor systems using sliding mode observers, Asian Journal of Control, vol. 17, pp. 1458–1461. DOI:10.1002/asjc.1033
  19. C. Y. Kee, C. P. Tan, K. Y. Ng, and H. Trinh (2014), New results in robust functional state estimation using two sliding mode observers in cascade, International Journal of Robust and Nonlinear Control, vol. 24, no. 15, pp. 2079–2097. DOI:10.1002/rnc.2973
  20. K. Y. Ng, C. P. Tan, and D. Oetomo (2012), Disturbance decoupled fault reconstruction using cascaded sliding mode observers, Automatica, vol. 48, no. 5, pp. 794–799. DOI:10.1016/j.automatica.2012.02.005
  21. K. Y. Ng, C. P. Tan, R. Akmeliawati, and C. Edwards (2010), Disturbance decoupled fault reconstruction using sliding mode observers, Asian Journal of Control, vol. 12, no. 5, pp. 656–660. DOI:10.1002/asjc.231
  22. K. Y. Ng, C. P. Tan, Z. Man, and R. Akmeliawati (2010), New results in disturbance decoupled fault reconstruction in linear uncertain systems using two sliding mode observers in cascade, International Journal of Control, Automation and Systems, vol. 8, no. 3, pp. 506–518. DOI:10.1007/s12555-010-0303-8
  23. K. Y. Ng, C. P. Tan, C. Edwards, and Y. C. Kuang (2007), New results in robust actuator fault reconstruction for linear uncertain systems using sliding mode observers, International Journal of Robust and Nonlinear Control, vol. 17, no. 14, pp. 1294–1319. DOI:10.1002/rnc.1170

Conference Proceedings

  1. N. McCallan, S. Davidson, K. Y. Ng, P. Biglarbeigi, D. Finlay, B. L. Lan, and J. McLaughlin (2023), Rebalancing Techniques for Asynchronously Distributed EEG Data to Improve Automatic Seizure Type Classification, 57th Annual Conference on Information Sciences and Systems (CISS 2023), Johns Hopkins University, Baltimore, Maryland, USA.
  2. S. Davidson, N. McCallan, K. Y. Ng, P. Biglarbeigi, D. Finlay, B. L. Lan, and J. McLaughlin (2022), Seizure Classification Using BERT NLP and a Comparison of Source Isolation Techniques with Two Different Time-Frequency Analysis, 2022 IEEE Signal Processing in Medicine and Biology Symposium (SPMB 2022), Philadelphia, USA, pp. 1–7. DOI:10.1109/SPMB55497.2022.10014769
  3. S. Davidson, N. McCallan, K. Y. Ng, P. Biglarbeigi, D. Finlay, B. L. Lan, and J. McLaughlin (2022), Epileptic Seizure Classification Using Combined Labels and a Genetic Algorithm, 21st IEEE Mediterranean Electrotechnical Conference (MELECON 2022), Palermo, Italy, pp. 430–435. DOI:10.1109/MELECON53508.2022.9843099
  4. N. McCallan, S. Davidson, K. Y. Ng, P. Biglarbeigi, D. Finlay, B. L. Lan, and J. McLaughlin (2021), Seizure Classification of EEG based on Wavelet Signal Denoising Using a Novel Channel Selection Algorithm, 2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), Tokyo, Japan, pp. 1269–1276.
  5. K. Y. Ng, E. Frisk, and M. Krysander (2020), Design and Selection of Additional Residuals To Enhance Fault Isolation of A Turbocharged Spark Ignited Engine System, 2020 7th International Conference on Control, Decision and Information Technologies (CoDIT 2020), Prague, Czech Republic, pp. 76–81. DOI:10.1109/CoDIT49905.2020.9263792
  6. P. Biglarbeigi, D. McLaughlin, K. Rjoob, Abdullah, N. McCallan, A. Jasinska-Piadlo, R. Bond, D. Finlay, K. Y. Ng, A. Kennedy, and J. McLaughlin (2019), Early prediction of sepsis considering Early Warning Scoring systems, International Conference in Computing in Cardiology (CinC 2019), Matrix @ Biopolis, Singapore. DOI:10.22489/cinc.2019.051
  7. N. McCallan, D. Finlay, P. Biglarbeigi, G. Perpiñan, M. Jennings, K. Y. Ng, J. McLaughlin, and O. Escalona (2019), Wearable Technology: Signal Recovery of Electrocardiogram from Short Spaced Leads in the Far-field using Discrete Wavelet Transform Based Techniques, International Conference in Computing in Cardiology (CinC 2019), Matrix @ Biopolis, Singapore. DOI:10.22489/cinc.2019.313
  8. S. J. W. Tang, K. Y. Ng, V. Kalavally, and J. Parkkinen (2016), Closed-loop color control of an RGB luminaire using sensors onboard a mobile computing system, IEEE Student Conference on Research and Development (SCOReD), Kuala Lumpur, Malaysia. DOI:10.1109/SCORED.2016.7810062
  9. D. Jung, K. Y. Ng, E. Frisk, and M. Krysander (2016), A combined diagnosis system design using model-based and data-driven methods, IEEE 3rd Conference on Control and Fault-Tolerant Systems (SysTol), Barcelona, Spain, pp. 177–182. DOI:10.1109/SYSTOL.2016.7739747
  10. W. J. Lee, K. Y. Ng, C. L Tan, and C. P. Tan (2016), Real-Time Face Detection And Motorized Tracking Using ScicosLab and SMCube On SoC’s, IEEE ICARCV, Phuket, Thailand. DOI:10.1109/ICARCV.2016.7838614
  11. S. J. W. Tang, K. Y. Ng, B. H. Khoo, and J. Parkkinen (2015), Real-time lane detection and rear-end collision warning system on a mobile computing platform, IEEE COMPSAC, Taichung, Taiwan, pp. 563–568. DOI:10.1109/COMPSAC.2015.171
  12. W. C. Chew, K. Y. Ng, and B. H. Khoo (2015), ReCon-AVe: Remote controlled automobile vehicle for data mining and analysis, IEEE COMPSAC, Taichung, Taiwan, pp. 569–574. DOI:10.1109/COMPSAC.2015.170
  13. K. Y. Ng, C. P. Tan, and D. Oetomo (2012), Enhanced fault reconstruction using cascaded sliding mode observers, 12th International Workshop on Variable Structure Systems (VSS), Bombay, India, pp. 208– 213. DOI:10.1109/VSS.2012.6163503
  14. C. Fernandes, K. Y. Ng, and B. H. Khoo (2011), Development of a convenient wireless control of an autonomous vehicle using Apple iOS SDK, IEEE TENCON, Bali, Indonesia, pp. 1025–1029. DOI:10.1109/TENCON.2011.6129266
  15. K. Y. Ng and C. P. Tan (2009), New results in disturbance decoupled fault reconstruction in linear uncertain systems using two sliding mode observers in cascade, 7th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes (SAFEPROCESS), Barcelona, Spain, vol. 42, no. 8, pp. 780-785. DOI:10.3182/20090630-4-ES-2003.00128
  16. K. Y. Ng, C. P. Tan, R. Akmeliawati, and C. Edwards (2008), Disturbance decoupled fault reconstruction using sliding mode observers, 17th IFAC World Congress, Seoul, South Korea, vol. 41, no. 2, pp. 7215-7220. DOI:10.3182/20080706-5-KR-1001.01221
  17. K. Y. Ng, C. P. Tan, C. Edwards, and Y. C. Kuang (2007), New result in robust actuator fault reconstruction with application to an aircraft, IEEE CCA, Singapore, pp. 801–806. DOI:10.1109/CCA.2007.4389331
  18. K. Y. Ng, C. P. Tan, and R. Akmeliawati (2006), Tolerance towards sensor failures: An application to a double inverted pendulum, IEEE DELTA, Kuala Lumpur, Malaysia. DOI:10.1109/DELTA.2006.92

Others

  1. K. Y. Ng (2015), Design and Development of A Simulation Environment and A Fault Isolation Scheme on A Volvo VEP4 MP Engine, Internal Research Technical Report: Research and Development Centre, Volvo Car Corporation, Gothenburg, Sweden.
  2. K. Y. Ng (2009), Advancements In Robust Fault Reconstruction Using Sliding Mode Observers, PhD Thesis, Faculty of Engineering, Monash University. DOI:10.4225/03/587c001b22509