Prof Liangxiu Han

Professor of Computational Science

Email address l.han@mmu.ac.uk
Telephone +44 (0)161 247 1225
Office location E138A John Dalton Building, Manchester Campus

Personal Website

Who am I?

Academic Biography

Teaching & Research Supervision

Research Expertise, Publications & Grants

Research expertise

My research interests mainly focus on both fundamental and applied research in relation to:

1) Large-scale data processing and data analytics/mining (i.e. data Intensive/data-driven/big data research into different application domains such as health, food, energy, cyber security, etc.);
2) Intelligent management and optimisation of large-scale networked distributed systems (e.g. cloud/Grid/Service-oriented computing/IoT);

3) Software and knowledge engineering;

4) Mathematical modelling and complexity science.

The ultimate goal is to tackle societal challenges for sustainable future. My current research activities for future sustainable society aim to provide intelligent ICT-based solutions for different application domains including food, health, energy, city planning, manufacturing, etc.

For further details, please refer to: http://www2.docm.mmu.ac.uk/STAFF/L.Han/

Publications

Featured Works

X. Zhang, L. Han, T. Sobeih, L. Han, N. Dempsey, et al. (2023). CXR-Net: A Multitask Deep Learning Network for Explainable and Accurate Diagnosis of COVID-19 Pneumonia From Chest X-Ray Images. IEEE Journal of Biomedical and Health Informatics. 27(2), pp.980-991.
X. Zhang, L. Han, W. Zhu, L. Sun, D. Zhang (2022). An explainable 3D residual self-attention deep neural network for joint atrophy localization and Alzheimer's Disease diagnosis using structural MRI. IEEE Journal of Biomedical and Health Informatics. 26(11), pp.5289-5297.
Y. Shi, L. Han, W. Huang, S. Chang, Y. Dong, et al. D. Dancey, L. Han. (2022). A Biologically Interpretable Two-Stage Deep Neural Network (BIT-DNN) for Vegetation Recognition From Hyperspectral Imagery. IEEE Transactions on Geoscience and Remote Sensing. 60, pp.4401320-4401320.
M. Yousefnezhad, A. Selvitella, L. Han, D. Zhang (2021). Supervised Hyperalignment for multi-subject fMRI data alignment. IEEE Transactions on Cognitive and Developmental Systems. 13(3), pp.475-490.
X. Zhang, L. Han, M. Robinson, A. Gallagher (2021). A gans-based deep learning framework for automatic subsurface object recognition from ground penetrating radar data. IEEE Access. 9, pp.39009-39018.
L. Han, H. Dong, J. McClelland, L. Han, D. Hawkes, et al. D. Barratt. (2017). A Hybrid Patient-Specific Biomechanical Model Based Image Registration Method for the motion estimation of Lungs. Medical Image Analysis. 39, pp.87-100.
JL. Gomez Ortega, L. Han, N. Bowring (2016). A Novel Dynamic Hidden Semi-Markov Model (D-HSMM) for Occupancy Pattern Detection from Sensor Data Stream. In: 2016 8th IFIP International Conference on New Technologies, Mobility and Security (NTMS). Larnaca, CYPRUS, 21/11/2016.
L. Han, MS. Haleem, M. Taylor (2016). Automatic Detection and Severity Assessment of Crop Diseases Using Image Pattern Recognition. EMERGING TRENDS AND ADVANCED TECHNOLOGIES FOR COMPUTATIONAL INTELLIGENCE. 647, pp.283-300.
MS. Haleem, L. Han, J. Van Hemert, B. Li, A. Fleming (2015). Retinal Area Detector From Scanning Laser Ophthalmoscope (SLO) Images for Diagnosing Retinal Diseases. IEEE Journal of Biomedical and Health Informatics. 19(4), pp.1472-1482.
L. Han, HY. Ong (2015). Parallel data intensive applications using MapReduce: a data mining case study in biomedical sciences. Cluster Computing. 18(1), pp.403-418.
Journal articles

Q. Zhu, Y. Zhou, Y. Yao, L. Sun, F. Shi, et al. W. Shao, D. Zhang, D. Shen. (2023). Semi-Supervised Multi-View Fusion for Identifying CAP and COVID-19 With Unlabeled CT Images. IEEE Transactions on Emerging Topics in Computational Intelligence. 7(3), pp.887-899.
X. Zhang, L. Han, T. Sobeih, L. Han, N. Dempsey, et al. (2023). CXR-Net: A Multitask Deep Learning Network for Explainable and Accurate Diagnosis of COVID-19 Pneumonia From Chest X-Ray Images. IEEE Journal of Biomedical and Health Informatics. 27(2), pp.980-991.
X. Zhang, L. Han, W. Zhu, L. Sun, D. Zhang (2022). An explainable 3D residual self-attention deep neural network for joint atrophy localization and Alzheimer's Disease diagnosis using structural MRI. IEEE Journal of Biomedical and Health Informatics. 26(11), pp.5289-5297.
Y. Shi, L. Han, W. Huang, S. Chang, Y. Dong, et al. D. Dancey, L. Han. (2022). A Biologically Interpretable Two-Stage Deep Neural Network (BIT-DNN) for Vegetation Recognition From Hyperspectral Imagery. IEEE Transactions on Geoscience and Remote Sensing. 60, pp.4401320-4401320.
M. Yousefnezhad, A. Selvitella, L. Han, D. Zhang (2021). Supervised Hyperalignment for multi-subject fMRI data alignment. IEEE Transactions on Cognitive and Developmental Systems. 13(3), pp.475-490.
X. Zhang, L. Han, M. Robinson, A. Gallagher (2021). A gans-based deep learning framework for automatic subsurface object recognition from ground penetrating radar data. IEEE Access. 9, pp.39009-39018.
GL. Taboada, L. Han (2020). Exploratory data analysis and data envelopment analysis of urban rail transit. Electronics (Switzerland). 9(8), pp.1-29.
L. Sun, W. Tan, Y. Ren, X. Ji, Z. Wang, et al. P. Li. (2020). Research on Visual Comfort of Underground Commercial Streets’ Pavement in China on the Basis of Virtual Simulation. International Journal of Pattern Recognition and Artificial Intelligence. 34(03), pp.2050005-2050005.
L. Han, D. Zhang, O. Rana, Y. Pan, S. Jabbar, et al. M. Yousif, M. Aloqaily. (2020). IEEE Access Special Section Editorial: Scalable Deep Learning for Big Data. IEEE Access. 8, pp.216617-216622.
L. Sun, C. Zu, W. Shao, J. Guang, D. Zhang, et al. M. Liu. (2019). Reliability-based robust multi-atlas label fusion for brain MRI segmentation. Artificial Intelligence in Medicine. 96, pp.12-24.
H. Ma, W. Huang, Y. Jing, C. Yang, L. Han, et al. (2019). Integrating Growth and Environmental Parameters to Discriminate Powdery Mildew and Aphid of Winter Wheat Using Bi-Temporal Landsat-8 Imagery. Remote Sensing. 11(7), pp.846-846.
AE. Kamal, L. Han, L. Lu, S. Jabbar (2019). Guest editorial: Special issue on software defined networking: trends, challenges, and prospective smart solutions. Peer-to-Peer Networking and Applications. 12(2), pp.291-294.
EYD. Zhang, L. Han, Z. Dong (2019). Introduction to the special section on Advanced Signal Processing in Biomedical Imaging. Computers and Electrical Engineering. 74, pp.635-639.
Y. Liu, A. Soroka, L. Han, J. Jian, M. Tang (2019). Cloud-based big data analytics for customer insight-driven design innovation in SMEs. International Journal of Information Management.
(2018). Editorial Note: Development and Application of Advanced Biomedical Imaging. Multimedia Tools and Applications. 77(17), pp.22587-22587.
YD. Zhang, Y. Zhang, Z. Dong, TF. Yuan, L. Han, et al. M. Yang, C. Cattani, H. Lu. (2018). IEEE Access Special Section Editorial: Advanced Signal Processing Methods in Medical Imaging. IEEE Access. 6, pp.61812-61818.
A. Soroka, Y. Liu, L. Han, MS. Haleem Big Data Driven Customer Insights for SMEs in Redistributed Manufacturing. Procedia CIRP. 63, pp.692-697.
L. Han, H. Dong, J. McClelland, L. Han, D. Hawkes, et al. D. Barratt. (2017). A Hybrid Patient-Specific Biomechanical Model Based Image Registration Method for the motion estimation of Lungs. Medical Image Analysis. 39, pp.87-100.
Y. Zhang, X. Yang, C. Cattani, Z. Dong, T. Yuan, et al. L. Han. (2017). Theory and Applications of Fractional Fourier Transform and its Variants. Fundamenta Informaticae. 151(1-4),
JH. Hipwell, V. Vavourakis, L. Han, T. Mertzanidou, B. Eiben, et al. DJ. Hawkes. (2016). A review of biomechanically informed breast image registration. Phys Med Biol. 61(2), pp.R1-31.
JLG. Ortega, L. Han, N. Bowring (2016). Modelling and Detection of User Activity Patterns for Energy Saving in Buildings. EMERGING TRENDS AND ADVANCED TECHNOLOGIES FOR COMPUTATIONAL INTELLIGENCE. 647, pp.165-185.
L. Han, MS. Haleem, M. Taylor (2016). Automatic Detection and Severity Assessment of Crop Diseases Using Image Pattern Recognition. EMERGING TRENDS AND ADVANCED TECHNOLOGIES FOR COMPUTATIONAL INTELLIGENCE. 647, pp.283-300.
SF. Johnsen, ZA. Taylor, L. Han, Y. Hu, MJ. Clarkson, et al. DJ. Hawkes, S. Ourselin. (2015). Detection and modelling of contacts in explicit finite-element simulation of soft tissue biomechanics. Int J Comput Assist Radiol Surg. 10(11), pp.1873-1891.
MS. Haleem, L. Han, J. Van Hemert, B. Li, A. Fleming (2015). Retinal Area Detector From Scanning Laser Ophthalmoscope (SLO) Images for Diagnosing Retinal Diseases. IEEE Journal of Biomedical and Health Informatics. 19(4), pp.1472-1482.
L. Han, HY. Ong (2015). Parallel data intensive applications using MapReduce: a data mining case study in biomedical sciences. Cluster Computing. 18(1), pp.403-418.
L. Han, HY. Ong (2015). Parallel data intensive applications using MapReduce: a data mining case study in biomedical sciences. CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS. 18(1), pp.403-418.
L. Han, H. Altan, M. Noguchi (2015). A Feasibility Study on Occupants' Behaviour and Energy Usage Patterns and Its Potential Integration with Building Information Modelling. International Journal of 3-D Information Modeling. 4(1), pp.45-53.
MS. Haleem, L. Han, J. van Hemert, B. Li, A. Fleming (2014). Superpixel Based Retinal Area Detection in SLO Images. COMPUTER VISION AND GRAPHICS, ICCVG 2014. 8671, pp.254-261.
Z. Xie, L. Han, R. Baldock (2013). Augmented Petri Net Cost Model for Optimisation of Large Bioinformatics Workflows Using Cloud. 2013 European Modelling Symposium. pp.201-205.
L. Han, J. Harries, P. Brown (2013). Building a Virtual Constructivist Learning Environment for Learning Computing Security and Forensics. Innovation in Teaching and Learning in Information and Computer Sciences. 12(1), pp.49-61.
MS. Haleem, L. Han, J. van Hemert, B. Li (2013). Automatic extraction of retinal features from colour retinal images for glaucoma diagnosis: A review. Computerized Medical Imaging and Graphics. 37(7-8), pp.581-596.
H. Altan, M. Refaee, L. Han, M. Noguchi (2013). Measured Home Environment and Energy Consumption Compared to Accepted Standards. Open House International. 38(3), pp.64-71.
MS. Haleem, L. Han, J. van Hemert, B. Li (2013). Automatic extraction of retinal features from colour retinal images for glaucoma diagnosis: a review. Comput Med Imaging Graph. 37(7-8), pp.581-596.
Z. Turedi, L. Han Automatic Forensic Log File Analysis for MAC OS X Systems. International Journal of Electronics and Digital Forensics.
L. Han, HY. Ong (2012). Accelerating biomedical data-intensive applications using MapReduce. Proceedings - IEEE/ACM International Workshop on Grid Computing. pp.49-57.
L. Han, JH. Hipwell, C. Tanner, Z. Taylor, T. Mertzanidou, et al. J. Cardoso, S. Ourselin, DJ. Hawkes. (2012). Development of patient-specific biomechanical models for predicting large breast deformation. Phys Med Biol. 57(2), pp.455-472.
LH. Han, PR. Laity, RE. Cameron, JA. Elliott (2011). Density and plastic strain evaluations using small-angle X-ray scattering and finite element simulations for powder compacts of complex shape. Journal of Materials Science. 46(18), pp.5977-5990.
CS. Liew, MP. Atkinson, R. Ostrowski, M. Cole, JI. Van Hemert, et al. L. Han. (2011). Performance database: Capturing data for optimizing distributed streaming workflows. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. 369(1949), pp.3268-3284.
L. Han, JIV. Hemert, RA. Baldock (2011). Automatically identifying and annotating mouse embryo gene expression patterns. Bioinform.. 27, pp.1101-1107.
L. Han, CS. Liew, JIV. Hemert, MP. Atkinson (2011). A generic parallel processing model for facilitating data mining and integration. Parallel Comput.. 37, pp.157-171.
L. Han, S. Potter, G. Beckett, GJ. Pringle, S. Welch, et al. (2010). FireGrid: An e-infrastructure for next-generation emergency response support. J. Parallel Distributed Comput.. 70, pp.1128-1141.
L. Han (2009). The self-adaptation to dynamic failures for efficient virtual organization formations in Grid Computing context. Chaos, Solitons and Fractals. 41, pp.1085-1094-1085-1094.
L. Han (2009). The performance model of dynamic Virtual Organization (VO) formations within grid computing context. Chaos, Solitons and Fractals. 40, pp.1599-1608-1599-1608.
LH. Han, JA. Elliott, AC. Bentham, A. Mills, GE. Amidon, et al. BC. Hancock. (2008). A modified Drucker-Prager Cap model for die compaction simulation of pharmaceutical powders. International Journal of Solids and Structures. 45(10), pp.3088-3106.
L. Han, D. Berry (2008). Semantic-supported and agent-based decentralized grid resource discovery. Future Gener. Comput. Syst.. 24, pp.806-812.
L. Han (2005). Estimating chlorophyll‐a concentration using first‐derivative spectra in coastal water. International Journal of Remote Sensing. 26(23), pp.5235-5244.
MR. Burcher, JA. Noble, L. Han, M. Gooding (2005). A system for simultaneously measuring contact force, ultrasound, and position information for use in force-based correction of freehand scanning. IEEE Trans Ultrason Ferroelectr Freq Control. 52(8), pp.1330-1342.
LH. Han, TJ. Lu, AG. Evans (2005). Optimal Design of a Novel High Authority SMA Actuator. Mechanics of Advanced Materials and Structures. 12(3), pp.217-227.
Y. Liu, L. Han, C. Gao (2004). The research of relationship between self-similar of TCP and network performance. Journal of Minimicro System. 25, pp.550-554-550-554.
LH. Han, J. Elliott, S. Best, R. Cameron, AC. Bentham, et al. A. Mills, GE. Amidon, BC. Hancock. Numerical Simulation on Pharmaceutical Powder Compaction. Materials Science Forum. 575-578, pp.560-565.
L. Han, JA. Noble, M. Burcher (2003). A novel ultrasound indentation system for measuring biomechanical properties of in vivo soft tissue. Ultrasound Med Biol. 29(6), pp.813-823.
S. Cong, L. Han, C. Gao (2003). The DWMM network traffic model. Journal on Communications. 24, pp.43-48-43-48.
L. Han, L. Han (2002). Application of the methodology com bined formal method with Object-Oriented technology in E-commerce. Journal of Computer Engineering. 29, pp.65-67-65-67.
L. Han, Z. Cen, C. Chu, C. Gao (2002). A new multifractal network traffic model. Chaos, Solitons and Fractals Fractals. 13, pp.1507-1513-1507-1513.
L. Han, Y. Liu, Z. Cen, C. Gao (2002). A network traffic model based on the cascade process. Journal of Minimicro System. 23, pp.1483 -1485-1483 -1485.
G. Liu, L. Han, L. Jing (2001). A nonmonotone Broyden method for unconstrained optimization. Optimization Methods and Software. 15(2), pp.153-171.
L. Han, S. Cong, C. Gao (2001). The characterizing network traffic based on the wavelet technique. Journal of Minimicro System,. 22, pp.1110-1114-1110-1114.
L. Han, S. Yu, Z. Wang (1999). Fuzzy assessment of the integrity of structures containing defects. International Journal of Pressure Vessels and Piping. 76(12), pp.825-829.
L. Han, L. Han, B. Shen, D. Wu (1999). Questions considered in object-oriented software quality metrics based on Java environment. Journal of East China University of Science and Technology. 25, pp.85-87-85-87.
L. Han, L. Han, Z. Liu (1999). Neural network applied to the prediction of the failure stress for pressurized cylinders containing defects. International Journal of Pressure Vessels and Piping. 76, pp.215-219-215-219.
L. Han, G. Liu (1998). Global Analysis of the Dennis--Wolkowicz Least-Change Secant Algorithm. SIAM Journal on Optimization. 8(3), pp.813-832.
L. Han, DC. Rundquist (1997). Comparison of NIR/RED ratio and first derivative of reflectance in estimating algal-chlorophyll concentration: A case study in a turbid reservoir. Remote Sensing of Environment. 62(3), pp.253-261.
MA. Lodhi, DC. Rundquist, L. Han, MS. Kuzila (1997). THE POTENTIAL FOR REMOTE SENSING OF LOESS SOILS SUSPENDED IN SURFACE WATERS¹. JAWRA Journal of the American Water Resources Association. 33(1), pp.111-117.
Y. Wang, L. Han (1997). On Zero-symmetric BZ-algebras. Journal of East China University of Science and Technology. 23, pp.755-761-755-761.
L. HAN, DC. RUNDQUIST (1996). Spectral characterization of suspended sediments generated from two texture classes of clay soil. International Journal of Remote Sensing. 17(3), pp.643-649.
L. DI, DC. RUNDQUIST, L. HAN (1994). Modelling relationships between NDVI and precipitation during vegetative growth cycles. International Journal of Remote Sensing. 15(10), pp.2121-2136.
Chapters in books

Z. Dai, Z. Li, L. Han (2021). BoneBert: A BERT-based Automated Information Extraction System of Radiology Reports for Bone Fracture Detection and Diagnosis. In: Advances in Intelligent Data Analysis XIX. Springer International Publishing, pp.263-274.
J. Lou, D. Li, TD. Bui, F. Zhao, L. Sun, et al. G. Li, D. Shen. (2019). Automatic Fetal Brain Extraction Using Multi-stage U-Net with Deep Supervision. In: Machine Learning in Medical Imaging. Springer International Publishing, pp.592-600.
W. Shao, J. Cheng, L. Sun, Z. Han, Q. Feng, et al. D. Zhang, K. Huang. (2018). Ordinal Multi-modal Feature Selection for Survival Analysis of Early-Stage Renal Cancer. In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2018. Springer International Publishing, pp.648-656.
L. Sun, D. Zhang, L. Wang, W. Shao, Z. Chen, et al. W. Lin, D. Shen, G. Li. (2018). Topological Correction of Infant Cortical Surfaces Using Anatomically Constrained U-Net. In: Machine Learning in Medical Imaging. Springer International Publishing, pp.125-133.
H. Altan, L. Han, K. Wagner, JLG. Ortega, A. Deep (2016). Energy Use in Housing. In: Springer Tracts in Civil Engineering. Springer International Publishing, pp.175-207.
L. Han, J. van Hemert, I. Overton, P. Besana, R. Baldock (2013). Analyzing Gene Expression Imaging Data in Developmental Biology. In: The DATA Bonanza: Improving Knowledge Discovery in Science, Engineering, and Business. Wiley, pp.327-351.
L. han, JIV. Hemert, I. Overton, R. Baldock (2013). The Data Bonanza:Improving Knowledge Discovery. M. Atkinson, R. Baxter, P. Brezany, O. Corcho, M. Galea, JV. Hemert, M. Parsons, D. Snelling. John Wiley & Sons Ltd, pp.327-351-327-351.
L. Han, A. Levenberg (2012). Scalable Online Incremental Learning for Web Spam Detection. In: Recent Advances in Computer Science and Information Engineering. Springer Berlin Heidelberg,
K. Shi, ST. Astner, L. Sun, N. Navab, F. Nüsslin, et al. P. Vaupel, JJ. Wilkens. (2011). Sparse dose painting based on a dual-pass kinetic-oxygen mapping of dynamic PET images. In: Lecture Notes in Computer Science. Springer Berlin Heidelberg, pp.484-491.
L. Han, J. Hipwell, Z. Taylor, C. Tanner, S. Ourselin, et al. DJ. Hawkes. (2010). Fast Deformation Simulation of Breasts Using GPU-Based Dynamic Explicit Finite Element Method. In: Digital Mammography. Springer Berlin Heidelberg, pp.728-735.
L. Han (2010). Exploiting P2P and Grid Computing Technologies for Resource Sharing to Support High Performance Distributed System. In: Handbook of Research on P2P and Grid Systems for Service-Oriented Computing. IGI Global, pp.450-475.
L. han (2010). Handbook of Research on P2P and Grid Systems for Service-Oriented Computing: Models, Methodologies and Applications. N. Antonopoulos, G. Exarchakos, M. Li, A. Liotta. IGI Global,
MP. Atkinson, JIV. Hemert, L. han, A. Hume, C-S. Liew (2009). A distributed architecture for data mining and integration. In: DADC ’09 Proceedings of the second international workshop on Data-aware distributed computing. ACM,
LH. Han, TJ. Lu 3D Finite Element Simulation for Shape Memory Alloys. In: Solid Mechanics and Its Applications. Springer-Verlag, pp.227-236.
Conferences

A. Kumar, A. Sharma, R. Ranjan, L. Han (2024). FTL-Emo: Federated Transfer Learning for Privacy Preserved Biomarker-Based Automatic Emotion Recognition. In: Lecture Notes in Networks and Systems. pp.449-460.
X. Zhang, L. Han (2023). Accurate, automatic zero-shot wetland mapping from high resolution remote sensing imagery by prompting large foundation model (Segment Anything Model-SAM). In: 2023 IEEE Smart World Congress (SWC). 28/8/2023.
M. Tantoush, U. Sengupta, L. Han (2021). Analysing Urban Form and Activities for Smarter Cities through Crowdsourced Urban Data. Bejing, China, 3/11/2021.
L. Han, Z. Dou, L. Liu (2021). Message from the General Chairs. In: 2021 IEEE 9th International Conference on Smart City and Informatization (iSCI). 20/10/2021.
N. Georgalas, S. Mumtaz, L. Han (2020). Message from the BDCloud-2020 General Chairs ISPA-BDCloud-SocialCom-SustainCom 2020. In: 2020 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom). 17/12/2020.
L. Han, O. Rana, W. Zhao (2019). Message from the ScalCom 2019 General Chairs. In: 2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI). 19/8/2019.
Z. Bartlett, L. Han, TT. Nguyen, P. Johnson (2019). Prediction of Road Traffic Flow Based on Deep Recurrent Neural Networks. In: 2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI). 19/8/2019. pp.102-109.
P. Dinarvand, L. Han, A. Coates, L. Han (2018). Automatic Real-Time Prediction of Energy Consumption Based on Occupancy Pattern for Energy Efficiency Management in Buildings. In: 2018 IEEE 20th International Conference on High Performance Computing and Communications; IEEE 16th International Conference on Smart City; IEEE 4th International Conference on Data Science and Systems (HPCC/SmartCity/DSS). Exeter, ENGLAND, 28/6/2018. pp.1299-1304.
Z. Bartlett, L. Han, TT. Nguyen, P. Johnson (2018). A Machine Learning Based Approach for the Prediction of Road Traffic Flow on Urbanised Arterial Roads. In: 2018 IEEE 20th International Conference on High Performance Computing and Communications; IEEE 16th International Conference on Smart City; IEEE 4th International Conference on Data Science and Systems (HPCC/SmartCity/DSS). Exeter, ENGLAND, 28/6/2018. pp.1285-1292.
L. Han (2017). Towards Sustainable Smart Society. In: Proceedings of the International Conference on Future Networks and Distributed Systems.
E. Pereira, F. Hao, L. Han, J. Ren, S. Gao, et al. T. Zhang, J. Wang. (2017). Message from the SmartData-2017 Workshop/Symposium Chairs. In: 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData). 21/6/2017.
L. Han, L. Guo, C. Johnson (2017). Message from the BigData-2017 Workshop Chairs. In: 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData). 21/6/2017.
JL. Gomez Ortega, L. Han, N. Bowring (2016). A Novel Dynamic Hidden Semi-Markov Model (D-HSMM) for Occupancy Pattern Detection from Sensor Data Stream. In: 2016 8th IFIP International Conference on New Technologies, Mobility and Security (NTMS). Larnaca, CYPRUS, 21/11/2016.
L. Han, L. Guo, J. Singer (2015). Message from the BigData 2015 Workshop Chairs. In: 2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing. 26/10/2015.
T. Sobeih, N. Whittaker, L. Han (2015). DIVINE: Building a Wearable Device for Intelligent Control of Environment Using Google Glass. In: 2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing. Liverpool, 26/10/2015. pp.1280-1285.
J. Gomez, L. Han Modelling Occupant Activity Patterns for Energy Saving in Buildings Using Machine Learning Approaches. In: 4th Annual Conference of the Zero Energy Mass Custom Home (ZEMCH) Network: ZEMCH 2015. Lecce, Italy, 22/9/2015.
M. Hammoudeh, L. Han (2015). Message from the General Chairs. In: 2015 European Intelligence and Security Informatics Conference. 7/9/2015.
MS. Haleem, L. Han, J. van Hemert, A. Fleming (2015). Glaucoma classification using Regional Wavelet Features of the ONH and its surroundings. In: Annu Int Conf IEEE Eng Med Biol Soc. United States, 25/8/2015. pp.4318-4321.
L. Han, MS. Haleem, M. Taylor (2015). A novel computer vision-based approach to automatic detection and severity assessment of crop diseases. In: 2015 Science and Information Conference (SAI). Sci & Informat Org, London, ENGLAND, 28/7/2015. pp.638-644.
JL. Gomez Ortega, L. Han, N. Whittacker, N. Bowring (2015). A machine-learning based approach to model user occupancy and activity patterns for energy saving in buildings. In: 2015 Science and Information Conference (SAI). Sci & Informat Org, London, ENGLAND, 28/7/2015. pp.474-482.
L. Han, H. Altan, M. Noguchi Occupants’ behaviour and the impact on home energy consumption and indoor environments: Demonstrated through an affordable house selected in scotland. In: Grand Renewable Energy 2014 International Conference and Exhibition Conference Proceedings. Tokyo, 28/7/2014.
MJ. Saeed, L. Han, MK. Muyeba (2014). An energy efficient and resource preserving target tracking approach for wireless sensor networks. In: 2014 9th International Symposium on Communication Systems, Networks & Digital Sign (CSNDSP). Manchester, ENGLAND, 23/7/2014. pp.232-237.
H. Altan, L. Han, M. Noguchi (2014). Good practice for future sustainable housing. In: In ZEMCH 2014 International Conference proceedings. Londrina, Paraná, Brazil, 4/6/2014. pp.183-194.
L. Han, Z. Xie, R. Baldock (2013). Automatic data reuse for accelerating data intensive applications in the Cloud. In: 8th International Conference for Internet Technology and Secured Transactions (ICITST-2013). London, UNITED KINGDOM, 9/12/2013. pp.596-+.
Z. Xie, L. Han, R. Baldock (2013). Augmented Petri Net Cost Model for Optimisation of Large Bioinformatics Workflows using Cloud. In: 2013 European Modelling Symposium (EMS). manchester, 20/11/2013. pp.201-205.
MK. Muyeba, S. Lewis, L. Han, JA. Keane (2013). Understanding Low Back Pain Using Fuzzy Association Rule Mining. In: 2013 IEEE International Conference on Systems, Man, and Cybernetics. Manchester, ENGLAND, 13/10/2013. pp.3265-3270.
Z. Xie, L. Han, R. Baldock (2013). Enhancing Parallelism of Data-Intensive Bioinformatics Applications. In: 2013 8th EUROSIM Congress on Modelling and Simulation. Cardiff, WALES, 10/9/2013. pp.519-524.
MK. Muyeba, L. Han (2013). Fuzzy classification in web usage mining using fuzzy quantifiers. In: Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining. Niagara Falls, CANADA, 25/8/2013. pp.1381-1386.
F. Robert, L. Han (2013). Early Forensic Detection on Cyber Crimes Based on Social Networks. In: The Second International workshop on Cyber-patterns, Unifying Design Patterns with Security Attack and Forensic Patterns. Oxford, 8/7/2013. pp.22-23.
H. Altan, M. Refaee, L. Han, M. Noguchi Measured indoor Environment and Energy Consumption Compared to accepted Standards: A Case Study Home in South Ayrshire. In: Journal of Open house International.
MS. Haleem, L. Han, B. Li, A. Nisbet, JV. Hemert, et al. M. Verhoek. (2013). Automatic extraction of the Optic Disc Boundary for Detecting Retinal Diseases. In: Computer Graphics and Imaging: Signal Processing, Pattern Recognition and Applications.
L. han, H. Altan, M. Noguchi (2012). Promoting energy conscious behaviour of occupants through monitoring energy usage pattern. In: ZEMCH 2012 International Conference.
Z. Turedi, L. han (2012). A novel Automatic Log-File analyser for Mac OS X forensics. In: The 2nd International Conference on Cybercrime, Security and Digital Forensics.
H. Altan, M. Refaee, L. han, M. Noguchi (2012). Measured indoor environment and energy consumption compared to accepted standards: a case study home in South Ayrshire, UK. In: ZEMCH 2012 International Conference.
L. han, T. Saengngam, JIV. Hemert (2010). Accelertaing data-intensive applications: a Cloud computing approach to parallel image pattern recognition tasks. In: ADVCOMP 2010 : The Fourth International Conference on Advanced Engineering Computing and Applications in Sciences.
G. Yaikhom, CS. Liew, L. Han, JIV. Hemert, MP. Atkinson, et al. A. Krause. (2010). Federated Enactment of Workflow Patterns. In: Euro-Par (1). pp.317-328.
CS. Liew, MP. Atkinson, JIV. Hemert, L. Han (2010). Towards optimising distributed data streaming graphs using parallel streams. In: HPDC. pp.725-736.
J. Fernandez, L. han, AN. nez, J. Carretero, JV. Hemert (2009). Using architectural simulation models to aid the design of data intensive application. In: ADVCOMP 2009: Advanced Engineering Computing and Applications in Sciences. pp.163 - 168-163 - 168.
G. Wickler, G. Beckett, L. Han, S-H. Koo, S. Potter, et al. G. Pringle, A. Tate. (2009). Using simulation for decision support: lessons learned from FireGrid. In: Information Systems for Crisis Response and Management ISCRAM’09.
L. Han, JIV. Hemert, RA. Baldock, MP. Atkinson (2009). Automating Gene Expression Annotation for Mouse Embryo. In: ADMA. pp.469-478.
MR. Burcher, . Lianghao Han, JA. Noble Deformation correction in ultrasound images using contact force measurements. In: Proceedings IEEE Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA 2001).
R. Upadhyay, G. Pringle, G. Beckett, S. Potter, L. Han, et al. S. Welch, A. Usmani, J. Torero. (2008). An Architecture for an Integrated Fire Emergency Response System for the Built Environment. In: Fire Safety Science. pp.427-438.
L. han, JIV. Hemert (2008). A Novel Visual Discriminator for Network Traffic Patterns. In: ADVCOMP ’08: The Second International Conference on Advanced Engineering Computing and Applications in Sciences. pp.141 - 146-141 - 146.
L. Han, A. Asenov, D. Berry, C. Millar, G. Roy, et al. S. Roy, RO. Sinnott, G. Stewart. (2007). Towards a Grid-Enabled Simulation Framework for Nano-CMOS Electronics. In: eScience. pp.305-311.
I. Dedinski, HD. Meer, L. Han, L. Mathy, DP. Pezaros, et al. JS. Sventek, X. Zhan. (2005). Cross-Layer Peer-to-Peer Traffic Identification and Optimization Based on Active Networking. In: IWAN. pp.13-27.
C. Gao, L. Han, Z. Cen, C. Chu (2001). A New Multifractal Traffic Model Based on the Wavelet Transform. In: PDCS. pp.157-162.
Z. Cen, S. Cong, L. han (2000). Measurement and analysis of IP network traffic. In: The 3rd Asia-Pacific Web Conference (APWeb). pp.46-50-46-50.

Expert reviewer for journals and publishers

EPSRC peer review college membership, British Council Peer Review Panel, Horizon 202 Independent Expert.

For further details: Please refer to http://www2.docm.mmu.ac.uk/STAFF/L.Han/

Grants

My Research Projects/Grants, please refer to http://www.docm.mmu.ac.uk/STAFF/L.Han/ for details.

Staff Profile

Prof Liangxiu Han

Professor of Computational Science

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