Biography

I undertook my BSc (London) in Electronic Engineering (EE) specialising in computer architectures and digital systems design. After graduation, I have worked there as an RA  (sponsored by CLCC/Plessey Ltd.) before joining the Computing Laboratory at the University of Kent (UKC) under the UK High Performance Distributed Systems Initiative, where I also received my research doctorate in 1994. I was admitted as an IEE corporate member and a Chartered Engineer (CEng) in 1995.

I took up a lectureship (EE) at Keele in autumn 1994 and, after receiving my SEDA HE teacher training award (Distinction), I moved to Computer Science (CS) during 1997/98. My teaching interests have spanned the two subject disciplines from the traditional teaching of signal processing, through telecommunications and computer vision, to the more recent developments in advanced computer architectures, communication networks and digital security, distributed/Cloud systems, digital image processing and multimedia, object-oriented programming, (statistical) data analysis and analytics.

Research and scholarship

For over two decades, my research has developed and applied cutting edge data analysis to a range of visual analytics and static data problems. Given the high computational demands of visual analysis and the scale of data in current problems, I also research large-scale computation, from parallel computing algorithms in through to distributed/cloud-based applications. The impact of my research has been illustrated previously by my work presented as the basis of both the UoA-11 (Computer Science & Informatics) case studies (3A & 3B), plus one of the two UoA-B15 (General Engineering) submissions by the (then) ISTM/Keele in the 2014 REF. To date, my research track record in collaborative research endeavours include knowledge transfer with a wide range of industrial partners summarised as follows:

2013-2017: Spatiotemporal Biometrics for Stem Cell Specific Cellomics - This 4-year BBSRC CASE Award investigated key challenges in developing effective, safe and predictable new cell-based therapies pioneered at the RJAH Orthopaedic Hospital for patients with osteoarthritis and spinal cord injuries. Our results have shown the importance of high-quality dynamic measurements of the individual cells and, crucially, their spatiotemporal interactions that would allow stem cell characterisation beyond traditional population studies in-vitro1. The work aimed to assist when analysing data from the current MRC-funded clinical trial (ASCOT), which evaluates the therapeutic role of bone marrow-derived mesenchymal stromal cells (BMSCs) in the autologous chondrocyte implantation (ACI) treatment recently approved by NICE.

2016-2018:  Value Creation with Big Data -  This 30-month KTP project concerned the development of a cloud-based Business Intelligence System (BIS) which sought to enhance the marketing data of the business partner’s clients. This was achieved through integration with big-data sources and a variety of ML-based (big) data analytic tools, including data sanitisation and advanced statistical analytics, contemporary machine learning (ML) and data mining technqiues, to augment client data of the company with market intelligence.

2017-2019: Characterisation of the pyloric rhythm of cancer pagurus stomatogastric ganglion with voltage-sensitive dye imaging (VSDI) -  This 3-year Keele funded PhD study entailed the first-ever development of computational signal processing procedures that sought to extract the pyloric rhythm directly from the VSDI data, enabling an accurate identification of the individual neurons in the pyloric circuit. A multi-resolution procedure based on the sequential Singular Spectrum Analysis (s-SSA) was first constructed as a non-parametric time-frequency analytic tool which separates the pyloric rhythm from the extremely noisy VSDI recordings (at -40dB to -15dB), allowing the accurate detection of potential pyloric neurons via the computed spectra of the respective cells/neurons. To facilitate identifying the different pyloric neurons, computationally tractable and biologically meaningful biometrics were devised to characterise each cell/neuron in terms of its computed spectrum. More importantly, the signal-processing methodology had demonstrated its applicability to a broad spectrum of biological/cellular systems, where the VSDI technology can be used to characterise the electrical activity as measured by cell membrane potentials from which vital/functional information about such cells is obtained. To this end, work is currently underway in collaboration with our industry partner to develop a mesoscopic visualisation platform that analyses at single-cell resolution the optical recordings captured in real-time by the VSDs (Voltage Sensitive Dyes) in exactly the same way as fluorescence imaging of cells and tissue.

2019 - 2020: The Alan Turing Institute (ATI) Data Challenge – This EPSRC sponsored pilot study applied data science methods to integrate a large collection of clinical gait analysis datasets, captured using a variety of gait measurement technologies including 3D video motion recordings. The combined dataset comprises data from multiple collaborating research labs/institutions in the UK including Warwick, Imperial College, Keele/Oswestry and Cardiff.  Following the successful conclusion of this study at the ATI last December, I have been working as part of an interdisciplinary team, with external collaborators, on a joint EPSRC and ATI project that seeks to predict progression of the (knee joint) osteoarthritis disease using such an integrated dataset, by developing novel machine learning techniques/models which have the potential to disrupt conventional osteoarthritis management impacting clinical care and disease progression.

2018 - : Automated Analysis of Paediatric Sleep Studies with Big Data techniques – This on-going research/project (funded by the NSMI) accesses the large multichannel cardiorespiratory recording (CRR) archive at Great Ormond Street Hospital (GOSH) in London, with investigations led by a multidisciplinary project team consisting of Keele/CS academics, consultant respiratory paediatricians and physiologists at GOSH.  Analysis of the GOSH data is expected to reveal the complex relationships between the recorded data and the AHI-based historic diagnosis that will permit (a) tentative automated diagnoses to be made and (b) identification of the minimal set of factors requisite to making accurate diagnoses.  By developing large scale data analytics tool which seeks to automate the currently highly complex and labour intensive assessment of sleep-disordered breathing in children, the project presents unique and exciting challenges/opportunities to work on the most complete archive of paediatric polysomnography with CRR prepared by leading respiratory paediatricians at GOSH.

Teaching

  • CSC-40031 Web Technologies and Security
  • CSC-40039 Cloud Computing
  • CSC-40042 Statistical Techniques for Data Analytics

Further information

KP Lam's Homepage

Selected Publications

  • Collins D and Lam K. 2014. Selling the Cloud to Smaller Business Organisations. Journal of Cloud Computing, 1-8, vol. 2014 (2014). link> doi> link>
  • Lam KP, Collins DJ, Sule-Suso J, Bhana R, Moloney A. 2013. On Evaluation of a Multiscale-based CT Image Analysis and Visualisation Algorithm. PROCEEDINGS OF THE 2013 6TH INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING AND INFORMATICS (BMEI 2013), VOLS 1 AND 2 (pp. 148-153). link> doi> full text>
  • Smith WA, Lam KP, Collins DJ, Richardson JB, IEEE. 2013. On 2.5D Surface Reconstruction of Cell Cultures. 2013 8TH INTERNATIONAL SYMPOSIUM ON IMAGE AND SIGNAL PROCESSING AND ANALYSIS (ISPA) (pp. 218-+). link>
  • Lam K, Smith WA, Collins DJ. 2013. Estimation of Depth Map Using Image Focus: A Scale-Space Approach for Shape Recovery. In T. Sobh (Ed.). USA: Springer New York. link> doi> link>
  • Li J, Li B, Wo T, Hu C, Huai J, Liu L, Lam KP. 2012. CyberGuarder: A virtualization security assurance architecture for green cloud computing. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 379-390, vol. 28(2). link> doi>

Full Publications Listshow

Journal Articles

  • Sule-Suso J, Finney S, Bisson J, Hammersley S, Jassel S, Knight R, Hicks C, Sargeant S, Lam K-P, Belcher J, Collins D, Bhana R, Adab F, O'Donovan C, Moloney A. 2015. Pilot study on virtual imaging for patient information on radiotherapy planning and delivery. Radiography. doi> full text>
  • Collins D and Lam K. 2014. Selling the Cloud to Smaller Business Organisations. Journal of Cloud Computing, 1-8, vol. 2014 (2014). link> doi> link>
  • Lam KP, Collins DJ, Sule-Suso J, Bhana R, Moloney A. 2013. On evaluation of a multiscale-based CT image analysis and visualisation algorithm. 2013 6th International Conference on Biomedical Engineering and Informatics, 148-153. doi>
  • Li J, Li B, Wo T, Hu C, Huai J, Liu L, Lam KP. 2012. CyberGuarder: A virtualization security assurance architecture for green cloud computing. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 379-390, vol. 28(2). link> doi>
  • Lam K, Smith, WA, Collins, DJ. 2012. FORTHCOMING: Scalable 2-1/2D Reconstruction of Cell Objects. International Journal on Industrial Electronics, Technology and Automation.
  • Nasirudeen AMA, Wong HH, Thien P, Xu S, Lam K-P, Liu DX. 2011. RIG-I, MDA5 and TLR3 Synergistically Play an Important Role in Restriction of Dengue Virus Infection. PLOS NEGLECTED TROPICAL DISEASES, Article ARTN e926, vol. 5(1). link> doi>
  • Lam K, Soobhany, AR, Leary, R. 2011. On the Performance of Li’s Unsupervised Image Classifier and the Optimal Cropping Position of Images for Forensic Investigations. International Journal of Digital Crime and Forensics, vol. 1(3). doi>
  • Pijanka J, Sockalingum GD, Kohler A, Yang Y, Draux F, Parkes G, Lam K-P, Collins D, Dumas P, Sandt C, van Pittius DG, Douce G, Manfait M, Untereiner V, Sulé-Suso J. 2010. Synchrotron-based FTIR spectra of stained single cells. Towards a clinical application in pathology. Lab Invest, 797-807, vol. 90(5). link> doi>
  • LAM KP and HORNE E. 1993. ENHANCED KERNEL ESTIMATION TECHNIQUE FOR PATTERN-CLASSIFICATION. ELECTRONICS LETTERS, 2130-2131, vol. 29(24). link> doi>
  • LAM KP and HORNE E. 1993. NOVEL TECHNIQUE TO COMBINE BWS AND FWS CLASSIFIERS. ELECTRONICS LETTERS, 1702-1704, vol. 29(19). link> doi>

Other

  • dos Santos F, Andras P, Collins DJ, Lam KP, IEEE. 2017. A Robust Data-Driven Approach to the Decoding of Pyloric Neuron Activity. 2017 IEEE INTERNATIONAL WORKSHOP ON SIGNAL PROCESSING SYSTEMS (SIPS). link> doi> full text>
  • dos Santos F, Andras P, Lam KP. 2017. Towards an Accurate Identification of Pyloric Neuron Activity with VSDi. ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING - ICANN 2017, PT I (pp. 121-128, vol. 10613). link> doi> full text>
  • dos Santos F, Andras P, Lam KP. 2017. A Multiresolution Approach to the Extraction of the Pyloric Rhythm. 2017 40TH INTERNATIONAL CONFERENCE ON TELECOMMUNICATIONS AND SIGNAL PROCESSING (TSP) (pp. 403-406). link> doi> full text>
  • Valero-Fernandez R, Collins DJ, Lam KP, Rigby C, Bailey J, IEEE. 2017. Towards Accurate Predictions of Customer Purchasing Patterns. 2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER AND INFORMATION TECHNOLOGY (CIT) (pp. 157-161). link> doi> full text>
  • Lam KP, Dempsey KP, Collins DJ, Richardson JB. 2016. Monitoring Stem Cells in Phase Contrast Imaging. IMAGING, MANIPULATION, AND ANALYSIS OF BIOMOLECULES, CELLS, AND TISSUES IX (vol. 9711). link> doi> full text>
  • Lam KP and Richardson JB. 2015. ON TRACKING SPINAL DISC CELLS. Proceedings of SPIE. SPIE. full text>
  • Lam KP, collins D, Fletcher P. 2014. Mobile Camera Source Identification with SVD. Innovations and Advances in Computing, Informatics, Systems Sciences, Networking and Engineering, Lecture Notes in Electrical Engineering, Volume 313. Springer International Publishing. doi> full text>
  • Dempsey KP, Richardson JB, Lam KP. 2014. On measuring cell confluence in phase contrast microscopy. IMAGING, MANIPULATION, AND ANALYSIS OF BIOMOLECULES, CELLS, AND TISSUES XII (vol. 8947). link> doi>
  • Smith WA, Lam K-P, Dempsey KP, Mazzocchi-Jones D, Richardson JB, Yang Y. 2014. Label free cell tracking in 3-D tissue engineering constructs with high resolution imaging. DYNAMICS AND FLUCTUATIONS IN BIOMEDICAL PHOTONICS XI (vol. 8942). SPIE. link> doi> full text>
  • Lam K, Collin, Collins, Sule-Suso. 2014. On Evaluation of a Multiscale-based CT Image Analysis and Visualisation Algorithm. Biomedical Engineering and Informatics (BMEI), 2013 6th International Conference on. IEEE. doi>
  • Lam K, Lam KP, Collins D, Fletcher P. 2014. Source identification of camera phones using SVD. ICIP2013, the Proceedings. IEEE publishing. doi> full text>
  • Lam KP, Collins DJ, Sule-Suso J, Bhana R, Moloney A. 2013. On Evaluation of a Multiscale-based CT Image Analysis and Visualisation Algorithm. PROCEEDINGS OF THE 2013 6TH INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING AND INFORMATICS (BMEI 2013), VOLS 1 AND 2 (pp. 148-153). link> doi> full text>
  • Smith WA, Lam KP, Collins DJ, Richardson JB, IEEE. 2013. On 2.5D Surface Reconstruction of Cell Cultures. 2013 8TH INTERNATIONAL SYMPOSIUM ON IMAGE AND SIGNAL PROCESSING AND ANALYSIS (ISPA) (pp. 218-+). link>
  • Soobhany AR, Lam KP, Fletcher P, Collins D, IEEE. 2013. SOURCE IDENTIFICATION OF CAMERA PHONES USING SVD. 2013 20TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP 2013) (pp. 4497-4501). link> doi>
  • Lam K, Howden C, Liu L, Ding ZJ. 2013. Moments in Time: A Forensic View of Twitter. Beijing: IEEE Computer Society. link> doi> link>
  • Lam K, Smith WA, Collins DJ. 2013. Estimation of Depth Map Using Image Focus: A Scale-Space Approach for Shape Recovery. In T. Sobh (Ed.). USA: Springer New York. link> doi> link>
  • Lam K and Collins DJ. 2013. FACE: Fractal Analysis in Cell Engineering. In K. Elleithy (Ed.). Innovations and Advances in Computer, Information, Systems Sciences, and Engineering Lecture Notes in Electrical Engineering Volume 152, 2013, pp 1151-1164 (pp. 1151-1164, vol. 152). USA: Springer New York. link> doi> link>
  • Lam KP, Dempsy KP, Smith WA, Wright KT, Masri WE, Richardson JB, IEEE. 2013. A Computational Approach to Quantifying Axon Regeneration in the Presence of Mesenchymal Stem Cells (MSCs). 2013 6TH INTERNATIONAL IEEE/EMBS CONFERENCE ON NEURAL ENGINEERING (NER) (pp. 1541-1544). link>
  • Sule-Suso J, Lam KP, Bhana R, Adab F, Sargeant S, Collins D, Patel A, Moloney A. 2011. Three-Dimensional Imaging for Radiotherapy Planning in Prostate Cancer. EUROPEAN JOURNAL OF CANCER (p. S194, vol. 47). link> doi>
  • Lam K and Smith, WA. 2010. Exploratory Analysis of UV-Vis Absorption Spectra. doi>
  • Lam K, Collins DJ, Soobhany AR, Liu L. 2010. An Investigation of the Use of Overlay Networks in Developing Scalable and Reliable Information Sharing Web/Services. IEEE CPS. link> doi> link>
  • Smith, WA, Lam K, Collins, D, Tarvainen, J. 2010. Estimation of Depth Map using Image Focus: A Scale-Space Approach for Shape Recovery. doi>
  • Lam K, Liu L, Xu J, Russell D, Luo Z, Russell D, Collins DJ. 2009. Dependable Dynamic Service Integration on Service-Oriented Peer-to-Peer Networks. IEEE Computer Society. link> doi> link>
  • LAM KP and FLETCHER P. 2009. Concurrent grammar inference machines for 2-D pattern recognition: a comparison with the level set approach. In JT. Astola, KO. Egiazarian, NM. Nasrabadi & SA. Rizvi (Eds.). Image Processing: Algorithms and Systems VII (vol. SPIE vol. 7245). SPIE-IS&T. link> doi>
  • Lam KP and Emery R. 2009. Image Pixel Guided Tours: A Software Platform for Non-Destructive X-ray Imaging. IMAGE PROCESSING: ALGORITHMS AND SYSTEMS VII (vol. 7245). link> doi>
  • Lam KP, Austin JC, Day CR. 2007. A coarse-grained spectral signature generator. EIGHT INTERNATIONAL CONFERENCE ON QUALITY CONTROL BY ARTIFICIAL VISION (vol. 6356). link> doi>
  • Mak TST, Sedcole P, Cheung PYK, Luk W, Lam KP, Society IEEEC. 2007. A hybrid analog-digital routing network for NoC dynamic routing. NOCS 2007: First International Symposium on Networks-on-Chip, Proceedings (pp. 173-182). link> doi>
  • Lam KP. 2007. Towards a practical differential image processing approach of change detection. INNOVATIVE ALGORITHMS AND TECHNIQUES IN AUTOMATION, INDUSTRIAL ELECTRONICS AND TELECOMMUNICATIONS (pp. 229-234). link> doi>
  • Lam KP. 1999. A component-based design for parallel moment generators. PARALLEL AND DISTRIBUTED METHODS FOR IMAGE PROCESSING III (pp. 137-145, vol. 3817). link> doi>
  • Lam KP. 1998. High-performance thresholding with adaptive equalisation. PARALLEL AND DISTRIBUTED METHODS FOR IMAGE PROCESSING II (pp. 148-157, vol. 3452). link> doi>
  • Lam KP and Furness A. 1997. K-AVE+GNN+Sobel equals an effective, highly parallel edge detector approach. PARALLEL AND DISTRIBUTED METHODS FOR IMAGE PROCESSING (pp. 190-198, vol. 3166). link> doi>
  • Lam KP, Mahdavi A, Pal V. 1997. Algorithm and context: A case study of reliability in computational daylight modeling. CAAD FUTURES 1997 (pp. 331-344). link>
  • Lam KP. 1997. UHC - A massively parallel and distributed realisation of hierarchical classifier networks. THIRD INTERNATIONAL SYMPOSIUM ON PARALLEL ARCHITECTURES, ALGORITHMS, AND NETWORKS, PROCEEDINGS (I-SPAN '97) (pp. 186-189). link> doi>
  • Lam KP and Furness A. 1996. On parallelization of neural classification algorithms. SECOND INTERNATIONAL SYMPOSIUM ON PARALLEL ARCHITECTURES, ALGORITHMS, AND NETWORKS (I-SPAN '96), PROCEEDINGS (pp. 337-340). link> doi>

Research themes

Athena Swan