Professor Liangxiu Han
Professor of Computational Science
My profile
Biography
I have a PhD in Computer Science from Fudan University, Shanghai, P.R. China (2002). I am currently a Professor of Computer Science at the Department of Computing and Mathematics, Manchester Metropolitan University. I am also a co-Director of Centre for Advanced Computational Science and Deputy Director of ManMet Crime and Well-Being Big Data Centre.
My research areas mainly focus on 1) the development of novel big data analytics/Machine Learning/AI, 2) development of novel intelligent architectures that facilitates big data analytics (e.g., parallel and distributed computing, Cloud/Service-oriented computing/data intensive computing), and 3) Applications in different domains (e.g. Precision Agriculture, Health, Smart Cities, Cyber Security, Energy, etc.) using various large scale datasets such as images, sensor data, network traffic, web/texts and geo-spatial data.
As a Principal Investigator (PI) or Co-PI, I have been conducting research in relation to big data/Machine Learning/AI, cloud computing/parallel and distributed computing on a number of multi-partner, multi-country, mutli-million-pound projects (funded by both national and international funding bodies such as UKRI EPSRC, BBSRC, Innovate UK, Newton Fund/GCRF, Horizon 2020, British Council, Royal Society, Industry, Charity, respectively, etc.)
I have served as an associate editor/a guest editor for a number of reputable international journals and a chair (or Co-Chair) for organisation of a number of international conferences/workshops in the field. She has been invited to give a number of keynotes and talks on different occasions (including international conferences, national and international institutions/organisations).
I am a member of EPSRC Peer Review College and an assessor/assessment panel member for UKRI Innovate UK, an independent expert for European Commission for proposal evaluation/mid-term project review, and British Council Peer Review Panel.
For further details please see http://www2.docm.mmu.ac.uk/STAFF/L.Han/
Interests and expertise
My broad research interests developed throughout my career over these years mainly focus on both fundamental and applied research in relation to:
- Big data processing and data analytics (i.e. data Intensive/data-driven/big data research) and its application into different domains such as health, food/agriculture, energy, smart cities, cyber security, etc.;
- Intelligent management and optimisation of large-scale networked distributed systems (e.g. cloud/Grid/Service-oriented computing/IoT);
- Software and knowledge engineering;
- Mathematical modelling and complexity science.
Although my research spans continuum from fundamental to applied real world questions, my current research focuses mostly on the following:
- Development of novel data analytics/computational methods for big data (various type of data, e.g. structured and unstructured data such as biomedical scans, remote sensing imagery, texts, videos, geo-spatial data, sensors, etc.)
- Development of novel intelligent architectures for processing and facilitating big data analysis (e.g. parallel and distributed computing/service-oriented/Cloud Computing, ranging from novel architecture design, protocols to novel algorithms on performance analysis, modelling, evaluation and optimisation)
- Application into different domains such as: health, food/agriculture, smart cities, cyber security, energy, etc.
Driven not only by my passion and personal interest on research but also by national and international research contexts, the ultimate goal of my research programme is to tackle societal challenges for future sustainable society through developing intelligent ICT-based solutions.
Impact
Meeting Societal Challenges using Big Data-Driven AI-enabled Approaches
Having worked in both industry and academia, I have over 20 years’ extensive research and practical experiences in developing intelligent ICT-enabled software solutions for big data processing and data analysis/mining in various application domains (e.g. Health, Food, Smart Cities, Energy, Cyber Security) using various large datasets (e.g. images, numerical values, sensors, geo-spatial data, web pages/texts). I, together with a group of researchers, have been conducting world leading research in big data/AI with the applications(e.g. Agriculture, Healthcare) to address societal challenges and generate research impact. Some examplar applications of big data driven, AI-enabled systems to address the societal challenges are:
1. Precision agriculture solutions to address food security and mitigation of GHG emissions (Funded by Newton fund, GCRF, BBSRC, Innovate UK, STFC, British Council).
- Delivering benefits and impact of precision agriculture to smallholders in developing countries through innovations in harnessing big data/AI techniques to provide rapid expert-level disease detection using remote sensing (satellite, drone) and mobile devices.
- http://agrione.farm
- https://www.youtube.com/watch?v=y8Xyq3G_7vQ
- https://epic337255300.wordpress.com
- https://www.youtube.com/watch?v=sNwkUTEz7jM
- New food magazine: “Could AI ease food security fears” https://www.newfoodmagazine.com/article/138114/ai-and-food-security/
- https://www.youtube.com/watch?v=IDTOd4G4rhA&t=80s
- Transforming food production and delivering impact through the development of a robot-enabled data-driven machine vision tool for automatic Nitrogen diagnosis and the quality assessment of arable soils.
- https://n2visionai.wordpress.com
- BBC, Look for East, https://www.youtube.com/watch?v=cIOWOZ23Tjs
2. AI for Healthcare (Scalable machine learning from big data, funded by EPSRC, Academy of Medical Sciences, Royal Society, Industry)
- Pioneering AI research for computer-aided diagnosis of glaucoma (Finalist if EPSRC ICT Pioneering competition)
- Pioneering AI research for computer-aided diagnosis of Alzheimer’s Disease (Newton Advanced fellowship, in collaboration with NUAA)
Projects
As a PI or Co-PI, I have been conducting research in relation to big data processing and machine learning, cloud computing/parallel and distributed computing (funded by EPSRC, BBSRC, Innovate UK, Horizon 2020, British Council, Royal Society, Industry, Charity, etc.). The total project funding value >18m. It is worth noting all the projects are interdisciplinary in nature, high profile with potential high societal impact both nationally and globally.
The list of projects can be found on personal page:
Teaching
Since joined in Manchester Met. University in September 2010, I have undertaken teaching at both undergraduate (5 Units) and Postgraduate (2 Units), mainly for Computer Forensics and Cyber Security Degree Course including
- Undergraduate level:
- Network and Internet Forensics (Unit leader, from 2010-2018)
- Network and Information Security for the third year (Unit leader, from 2010 – 2013)
- Computing Forensics I for the second-year students (from 2010 -2014)
- Professional Development Pathway Tutor for Computing Forensics (from 2010 -2012)
- Computer Fundamentals (from 2012 -2013)
- Postgraduate level
- Advanced Network Security (Unit leader, from 2014 –2016)
- Introduction to computer forensics and security (from 2014 – 2020)
- Cyber Seucrity principles and practices (2020- present) for both MSc Cyber Security and MSc Apprenticeship
3. External examiner roles
- PhD examiners for various number of universities
- MSc programme in Computer Forensics and Security
Supervision
I have been supervising a number of PhD candidates, Postdocs and visiting scholars. For further details, please refer to http://www2.docm.mmu.ac.uk/STAFF/L.Han/
Research outputs
My research interests mainly focus on both fundamental and applied research in relation to:
- 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.);
- Intelligent management and optimisation of large-scale networked distributed systems (e.g. cloud/Grid/Service-oriented computing/IoT);
- Software and knowledge engineering;
- 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/
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Chapters in books
Han, L.H., Lu, T.J. '3D Finite Element Simulation for Shape Memory Alloys.' Solid Mechanics and Its Applications. Springer-Verlag, pp. 227-236.
Dai, Z., Li, Z., Han, L. (2021) 'BoneBert: A BERT-based Automated Information Extraction System of Radiology Reports for Bone Fracture Detection and Diagnosis.' Advances in Intelligent Data Analysis XIX. Springer International Publishing, pp. 263-274.
Lou, J., Li, D., Bui, T.D., Zhao, F., Sun, L., Li, G., Shen, D. (2019) 'Automatic Fetal Brain Extraction Using Multi-stage U-Net with Deep Supervision.' Machine Learning in Medical Imaging. Springer International Publishing, pp. 592-600.
Shao, W., Cheng, J., Sun, L., Han, Z., Feng, Q., Zhang, D., Huang, K. (2018) 'Ordinal Multi-modal Feature Selection for Survival Analysis of Early-Stage Renal Cancer.' Medical Image Computing and Computer Assisted Intervention – MICCAI 2018. Springer International Publishing, pp. 648-656.
Sun, L., Zhang, D., Wang, L., Shao, W., Chen, Z., Lin, W., Shen, D., Li, G. (2018) 'Topological Correction of Infant Cortical Surfaces Using Anatomically Constrained U-Net.' Machine Learning in Medical Imaging. Springer International Publishing, pp. 125-133.
Altan, H., Han, L., Wagner, K., Ortega, J.L.G., Deep, A. (2016) 'Energy use in housing.' Springer Tracts in Civil Engineering. pp. 175-207.
Han, L., van Hemert, J., Overton, I., Besana, P., Baldock, R. (2013) 'Analyzing Gene Expression Imaging Data in Developmental Biology.' The DATA Bonanza: Improving Knowledge Discovery in Science, Engineering, and Business. pp. 327-351.
han, L., Hemert, J.I.V., Overton, I., Baldock, R. (2013) 'The Data Bonanza:Improving Knowledge Discovery.' In Atkinson, M., Baxter, R., Brezany, P., Corcho, O., Galea, M., Hemert, J.V., Parsons, M., Snelling, D. (ed.) John Wiley & Sons Ltd, pp. 327-351-327-351.
Han, L., Levenberg, A. (2012) 'Scalable Online Incremental Learning for Web Spam Detection.' Recent Advances in Computer Science and Information Engineering. Springer Berlin Heidelberg,
Shi, K., Astner, S.T., Sun, L., Navab, N., Nüsslin, F., Vaupel, P., Wilkens, J.J. (2011) 'Sparse dose painting based on a dual-pass kinetic-oxygen mapping of dynamic PET images..' pp. 484-491.
Han, L. (2010) 'Exploiting P2P and grid computing technologies for resource sharing to support high performance distributed system.' Handbook of Research on P2P and Grid Systems for Service-Oriented Computing: Models, Methodologies and Applications. pp. 450-475.
Han, L., Hipwell, J., Taylor, Z., Tanner, C., Ourselin, S., Hawkes, D.J. (2010) 'Fast Deformation Simulation of Breasts Using GPU-Based Dynamic Explicit Finite Element Method.' Digital Mammography. Springer Berlin Heidelberg, pp. 728-735.
han, L. (2010) 'Handbook of Research on P2P and Grid Systems for Service-Oriented Computing: Models, Methodologies and Applications.' In Antonopoulos, N., Exarchakos, G., Li, M., Liotta, A. (ed.) IGI Global,
Atkinson, M.P., Hemert, J.I.V., han, L., Hume, A., Liew, C.S. (2009) 'A distributed architecture for data mining and integration.' DADC ’09 Proceedings of the second international workshop on Data-aware distributed computing. ACM,
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Media
Han, L. Large-scale data processing and data analytics on images.
Han, L. (2021) “N2Vision”, BBC Look for EAST 09/112021,.
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Journal articles
Kavarakuntla, T., Han, L., Lloyd, H., Latham, A., Kleerekoper, A., Akintoye, S.B. (2024) 'A generic performance model for deep learning in a distributed environment.' IEEE Access, 12pp. 8207-8219.
Akintoye, S.B., Han, L., Lloyd, H., Zhang, X., Dancey, D., Chen, H., Zhang, D. (2023) 'Layer-wise partitioning and merging for efficient and scalable deep learning.' Future Generation Computer Systems, 149pp. 432-444.
Zhang, X., Han, L. (2023) 'A generic Self-Supervised Learning (SSL) framework for representation learning from spectral–spatial features of unlabeled remote sensing imagery.' Remote Sensing, 15(21) pp. 5238-5238.
Zhang, X., Han, L., Han, L., Chen, H., Dancey, D., Zhang, D. (2023) 'sMRI-PatchNet: a novel efficient explainable patch-based deep learning network for Alzheimer’s Disease diagnosis with structural MRI.' IEEE Access, 11pp. 108603-108616.
Shi, Y., Han, L., González-Moreno, P., Dancey, D., Huang, W., Zhang, Z., Liu, Y., Huang, M., Miao, H., Dai, M. (2023) 'A fast Fourier convolutional deep neural network for accurate and explainable discrimination of wheat yellow rust and nitrogen deficiency from Sentinel-2 time series data.' Frontiers in Plant Science, 14pp. 1250844-1250844.
Dai, M., Sun, W., Wang, L., Dorjoy, M.M.H., Zhang, S., Miao, H., Han, L., Zhang, X., Wang, M. (2023) 'Pepper leaf disease recognition based on enhanced lightweight convolutional neural networks.' Frontiers in Plant Science, 14pp. 1230886-1230886.
Zhu, Q., Zhou, Y., Yao, Y., Sun, L., Shi, F., Shao, W., Zhang, D., Shen, D. (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.
Doni, F., Ishak, M.N., Suhaimi, N.S.M., Syaputri, Y., Han, L., Mohamed, Z., Mispan, M.S. (2023) 'Leaf blight disease of rice caused by Pantoea: profile of an increasingly damaging disease in rice.' Tropical Plant Pathology, 48(1) pp. 1-10.
Zhang, X., Han, L., Sobeih, T., Han, L., Dempsey, N., Lechareas, S., Tridente, A., Chen, H., White, S., Zhang, D. (2022) '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.
Shi, Y., Han, L., Han, L., Chang, S., Hu, T., Dancey, D. (2022) 'A Latent Encoder Coupled Generative Adversarial Network (LE-GAN) for Efficient Hyperspectral Image Super-resolution.' IEEE Transactions on Geoscience and Remote Sensing, 60pp. 5534819-5534819.
Akintoye, S.B., Han, L., Zhang, X., Chen, H., Zhang, D. (2022) 'A hybrid parallelization approach for distributed and scalable deep learning.' IEEE Access, 10pp. 77950-77961.
Zhang, X., Han, L., Sobeih, T., Lappin, L., Lee, M.A., Howard, A., Kisdi, A. (2022) 'The Self-Supervised Spectral–Spatial Vision Transformer Network for Accurate Prediction of Wheat Nitrogen Status from UAV Imagery.' Remote Sensing, 14(6) pp. 1400-1400.
Shi, Y., Han, L., Kleerekoper, A., Chang, S., Hu, T. (2022) 'Novel CropdocNet Model for Automated Potato Late Blight Disease Detection from Unmanned Aerial Vehicle-Based Hyperspectral Imagery.' Remote Sensing, 14(2) pp. 396-396.
Dokmegang, J., Yap, M.H., Han, L., Cavaliere, M., Doursat, R. (2021) 'Computational modelling unveils how epiblast remodelling and positioning rely on trophectoderm morphogenesis during mouse implantation..' PLoS One, 16(7)
Zhu, W., Sun, L., Huang, J., Han, L., Zhang, D. (2021) 'Dual Attention Multi-Instance Deep Learning for Alzheimer’s Disease Diagnosis with Structural MRI.' IEEE Transactions on Medical Imaging, 40(9) pp. 2354-2366.
Zhang, X., Han, L., Zhu, W., Sun, L., Zhang, D. (2021) '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.
Zhang, X., Han, L., Robinson, M., Gallagher, A. (2021) 'A gans-based deep learning framework for automatic subsurface object recognition from ground penetrating radar data.' IEEE Access, 9pp. 39009-39018.
Shi, Y., Han, L., Huang, W., Chang, S., Dong, Y., Dancey, D., Han, L. (2021) 'A Biologically Interpretable Two-Stage Deep Neural Network (BIT-DNN) for Vegetation Recognition From Hyperspectral Imagery.' IEEE Transactions on Geoscience and Remote Sensing, 60pp. 4401320-4401320.
Taboada, G.L., Han, L. (2020) 'Exploratory data analysis and data envelopment analysis of urban rail transit.' Electronics (Switzerland), 9(8) pp. 1-29.
Ding, W., Luo, F., Han, L., Gu, C., Lu, H., Fuentes, J. (2020) 'Adaptive virtual machine consolidation framework based on performance-to-power ratio in cloud data centers.' Future Generation Computer Systems, 111pp. 254-270.
Sun, L., Tan, W., Ren, Y., Ji, X., Wang, Z., Li, P. (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.
Zhang, X., Han, L., Han, L., Zhu, L. (2020) 'How well do deep learning-based methods for land cover classification and object detection perform on high resolution remote sensing imagery?.' Remote Sensing, 12(3)
Yousefnezhad, M., Selvitella, A., Han, L., Zhang, D. (2020) 'Supervised Hyperalignment for multi-subject fMRI data alignment.' IEEE Transactions on Cognitive and Developmental Systems, 13(3) pp. 475-490.
Han, L., Zhang, D., Rana, O., Pan, Y., Jabbar, S., Yousif, M., Aloqaily, M. (2020) 'IEEE Access Special Section Editorial: Scalable Deep Learning for Big Data.' IEEE Access, 8pp. 216617-216622.
Bartlett, Z., Han, L., Nguyen, T.T., Johnson, P. (2019) 'A Novel Online Dynamic Temporal Context Neural Network Framework for the Prediction of Road Traffic Flow.' IEEE Access, 7pp. 153533-153541.
Zhang, X., Chen, J., Zhou, Y., Han, L., Lin, J. (2019) 'A Multiple-Layer Representation Learning Model for Network-Based Attack Detection.' IEEE Access, 7pp. 91992-92008.
Zhang, X., Han, L., Dong, Y., Shi, Y., Huang, W., Han, L., González-Moreno, P., Ma, H., Ye, H., Sobeih, T. (2019) 'A deep learning-based approach for automated yellow rust disease detection from high resolution hyperspectral UAV images.' Remote Sensing, 11(13) pp. 1554-1554.
Yang, L., Han, L., Liu, N. (2019) 'A new approach to journal co-citation matrix construction based on the number of co-cited articles in journals.' Scientometrics, 120(2) pp. 507-517.
Sun, L., Zu, C., Shao, W., Guang, J., Zhang, D., Liu, M. (2019) 'Reliability-based robust multi-atlas label fusion for brain MRI segmentation.' Artificial Intelligence in Medicine, 96pp. 12-24.
Ma, H., Huang, W., Jing, Y., Yang, C., Han, L., Dong, Y., Ye, H., Shi, Y., Zheng, Q., Liu, L., Ruan, C. (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.
Zhang, E.Y.D., Han, L., Dong, Z. (2019) 'Introduction to the special section on Advanced Signal Processing in Biomedical Imaging.' Computers and Electrical Engineering, 74pp. 635-639.
Kamal, A.E., Han, L., Lu, L., Jabbar, S. (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.
Liu, Y., Soroka, A., Han, L., Jian, J., Tang, M. (2019) 'Cloud-based big data analytics for customer insight-driven design innovation in SMEs.' International Journal of Information Management,
Ghafir, I., Hammoudeh, M., Prenosil, V., Han, L., Hegarty, R.C., Rabie, K., Aparicio-Navarro, F. (2018) 'Detection of advanced persistent threat using machine-learning correlation analysis.' Future Generation Computer Systems, 89pp. 349-359.
Zhang, X., Zhou, Q., Gu, C., Han, L. (2018) 'The Location Privacy Preserving of Social Network Based on RCCAM Access Control.' IETE Technical Review,
(2018) 'Editorial Note: Development and Application of Advanced Biomedical Imaging.' Multimedia Tools and Applications, 77(17) pp. 22587-22587.
Li, S.L., Huang, Z., Han, L., Jiang, C. (2018) 'A genetic algorithm enhanced automatic data flow management solution for facilitating data intensive applications in the cloud.' Concurrency and Computation: Practice and Experience, 30(23) pp. e4844-e4844.
Wang, S., Muhammad, K., Lv, Y., Sui, Y., Han, L., Zhang, Y. (2018) 'Identification of Alcoholism Based on Wavelet Renyi Entropy and Three-Segment Encoded Jaya Algorithm.' Complexity, 2018
Zhang, Y.D., Zhang, Y., Dong, Z., Yuan, T.F., Han, L., Yang, M., Cattani, C., Lu, H. (2018) 'IEEE Access Special Section Editorial: Advanced Signal Processing Methods in Medical Imaging.' IEEE Access, 6pp. 61812-61818.
Haleem, M., Han, L., Hemert, J., Li, B., Fleming, A., Pasquale, L., Song, B. (2018) 'A Novel Adaptive Deformable Model for Automated Optic Disc and Cup Segmentation to Aid Glaucoma Diagnosis.' Journal of Medical Systems, 42(1)
Soroka, A., Liu, Y., Han, L., Haleem, M.S. (2017) 'Big Data Driven Customer Insights for SMEs in Redistributed Manufacturing.' Procedia CIRP, 63pp. 692-697.
Han, L., Dong, H., McClelland, J., Han, L., Hawkes, D., Barratt, D. (2017) 'A Hybrid Patient-Specific Biomechanical Model Based Image Registration Method for the motion estimation of Lungs.' Medical Image Analysis, 39pp. 87-100.
Zhang, Y., Yang, X., Cattani, C., Dong, Z., Yuan, T., Han, L. (2017) 'Theory and Applications of Fractional Fourier Transform and its Variants.' Fundamenta Informaticae, 151(1-4)
Ortega, J., Han, L., Bowring, N. (2016) 'Modelling and Detection of User Activity Patterns for Energy Saving in Building.' Studies in Computational Intelligence,
Han, L., haleem, M., Taylor, M. (2016) 'Automatic Detection and Severity Assessment of Crop Diseases using Image Pattern Recognition.' Studies in Computational Intelligence,
Han, L., Haleem, M., Hemert, J., Fleming, A., Pasquale, L., Silva, P., Song, B., Aiello, L. (2016) 'Regional Image Features Model for Automatic Classification between Normal and Glaucoma in Fundus and Scanning Laser Ophthalmoscopy (SLO) Images.' Journal of Medical Systems, 40
Hipwell, J.H., Vavourakis, V., Han, L., Han, L., Mertzanidou, T., Eiben, B., Hawkes, D.J. (2016) 'A review of biomechanically informed breast image registration..' Physics in medicine and biology, 61(2) pp. R1-31.
Johnsen, S.F., Taylor, Z.A., Han, L., Han, L., Hu, Y., Clarkson, M.J., Hawkes, D.J., Ourselin, S. (2015) 'Detection and modelling of contacts in explicit finite-element simulation of soft tissue biomechanics..' International journal of computer assisted radiology and surgery, 10(11) pp. 1873-1891.
Johnsen, S.F., Taylor, Z.A., Clarkson, M.J., Hipwell, J., Modat, M., Eiben, B., Han, L., Han, L., Hu, Y., Mertzanidou, T., Hawkes, D.J., Ourselin, S. (2015) 'NiftySim: A GPU-based nonlinear finite element package for simulation of soft tissue biomechanics..' International journal of computer assisted radiology and surgery, 10(7) pp. 1077-1095.
Haleem, M.S., Han, L., Van Hemert, J., Li, B., Fleming, A. (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.
Han, L., Ong, H.Y. (2015) 'Parallel data intensive applications using MapReduce: a data mining case study in biomedical sciences.' Cluster Computing, 18(1) pp. 403-418.
Han, L., Ong, H.Y. (2015) 'Parallel data intensive applications using MapReduce: a data mining case study in biomedical sciences.' Cluster Computing,
Wang, S., Chen, M., Li, Y., Zhang, Y., Han, L., Wu, J., Du, S. (2015) 'Detection of Dendritic Spines Using Wavelet-Based Conditional Symmetric Analysis and Regularized Morphological Shared-Weight Neural Networks..' Comput Math Methods Med, 2015
Han, L., Altan, H., Noguchi, M. (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.
Haleem, M.S., Han, L., van Hemert, J., Li, B., Fleming, A. (2014) 'Superpixel based retinal area detection in SLO images.' Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8671pp. 254-261.
Han, L., Harries, J., Brown, P. (2013) 'Building a virtual constructivist learning environment for learning computing security and forensics.' ITALICS Innovations in Teaching and Learning in Information and Computer Sciences, 12(1) pp. 49-61.
Haleem, M.S., Han, L., van Hemert, J., Li, B. (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.
Haleem, M.S., Han, L., van Hemert, J., Li, B. (2013) 'Automatic extraction of retinal features from colour retinal images for glaucoma diagnosis: A review.' Computerized Medical Imaging and Graphics,
Altan, H., Refaee, M., Han, L., Noguchi, M. (2013) 'Measured home environment and energy consumption compared to accepted standards.' Open House International, 38(3) pp. 64-72.
Turedi, Z., Han, L. (2013) 'Automatic Forensic Log File Analysis for MAC OS X Systems.' International Journal of Electronics and Digital Forensics,
Xie, Z., Han, L., Baldock, R. (2013) 'Augmented petri net cost model for optimisation of large bioinformatics workflows using cloud.' Proceedings - UKSim-AMSS 7th European Modelling Symposium on Computer Modelling and Simulation, EMS 2013, pp. 201-205.
Han, L., Ong, H.Y. (2012) 'Accelerating biomedical data-intensive applications using MapReduce.' Proceedings - IEEE/ACM International Workshop on Grid Computing, pp. 49-57.
Han, L., Han, L., Hipwell, J.H., Tanner, C., Taylor, Z., Mertzanidou, T., Cardoso, J., Ourselin, S., Hawkes, D.J. (2012) 'Development of patient-specific biomechanical models for predicting large breast deformation..' Physics in medicine and biology, 57(2) pp. 455-472.
Han, L.H., Laity, P.R., Cameron, R.E., Elliott, J.A. (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.
Liew, C.S., Atkinson, M.P., Ostrowski, R., Cole, M., Van Hemert, J.I., Han, L. (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.
Han, L., Hemert, J.I.V., Baldock, R.A. (2011) 'Automatically identifying and annotating mouse embryo gene expression patterns..' Bioinform., 27pp. 1101-1107.
Han, L., Liew, C.S., Hemert, J.I.V., Atkinson, M.P. (2011) 'A generic parallel processing model for facilitating data mining and integration..' Parallel Comput., 37pp. 157-171.
Han, L., Potter, S., Beckett, G., Pringle, G.J., Welch, S., Koo, S.H., Wickler, G., Usmani, A., Torero, J.L., Tate, A. (2010) 'FireGrid: An e-infrastructure for next-generation emergency response support..' J. Parallel Distributed Comput., 70pp. 1128-1141.
Han, L. (2009) 'The self-adaptation to dynamic failures for efficient virtual organization formations in Grid Computing context.' Chaos, Solitons and Fractals, 41pp. 1085-1094-1085-1094.
Han, L. (2009) 'The performance model of dynamic Virtual Organization (VO) formations within grid computing context.' Chaos, Solitons and Fractals, 40pp. 1599-1608-1599-1608.
Han, L., Berry, D. (2008) 'Semantic-supported and agent-based decentralized grid resource discovery..' Future Gener. Comput. Syst., 24pp. 806-812.
Han, L.H., Elliott, J.A., Bentham, A.C., Mills, A., Amidon, G.E., Hancock, B.C. (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.
Han, L.H., Elliott, J., Best, S., Cameron, R., Bentham, A.C., Mills, A., Amidon, G.E., Hancock, B.C. (2008) 'Numerical Simulation on Pharmaceutical Powder Compaction.' Materials Science Forum, 575-578pp. 560-565.
Han, L. (2005) 'Estimating chlorophyll‐a concentration using first‐derivative spectra in coastal water.' International Journal of Remote Sensing, 26(23) pp. 5235-5244.
Burcher, M.R., Noble, J.A., Han, L., Han, L., Gooding, M. (2005) 'A system for simultaneously measuring contact force, ultrasound, and position information for use in force-based correction of freehand scanning..' IEEE transactions on ultrasonics, ferroelectrics, and frequency control, 52(8) pp. 1330-1342.
Han, L.H., Lu, T.J., Evans, A.G. (2005) 'Optimal Design of a Novel High Authority SMA Actuator.' Mechanics of Advanced Materials and Structures, 12(3) pp. 217-227.
Liu, Y., Han, L., Gao, C. (2004) 'The research of relationship between self-similar of TCP and network performance.' Journal of Minimicro System, 25pp. 550-554-550-554.
Han, L., Han, L., Noble, J.A., Burcher, M. (2003) 'A novel ultrasound indentation system for measuring biomechanical properties of in vivo soft tissue..' Ultrasound in medicine & biology, 29(6) pp. 813-823.
Cong, S., Han, L., Gao, C. (2003) 'The DWMM network traffic model.' Journal on Communications, 24pp. 43-48-43-48.
Han, L., Liu, Y., Cen, Z., Gao, C. (2002) 'A network traffic model based on the cascade process.' Journal of Minimicro System, 23pp. 1483 -1485-1483 -1485.
Han, L., Cen, Z., Chu, C., Gao, C. (2002) 'A new multifractal network traffic model.' Chaos, Solitons and Fractals Fractals, 13pp. 1507-1513-1507-1513.
Han, L., Han, L. (2002) 'Application of the methodology com bined formal method with Object-Oriented technology in E-commerce.' Journal of Computer Engineering, 29pp. 65-67-65-67.
Han, L., Cong, S., Gao, C. (2001) 'The characterizing network traffic based on the wavelet technique.' Journal of Minimicro System,, 22pp. 1110-1114-1110-1114.
Liu, G., Han, L., Jing, L. (2001) 'A nonmonotone Broyden method for unconstrained optimization.' Optimization Methods and Software, 15(2) pp. 153-171.
Han, L., Yu, S., Wang, Z. (1999) 'Fuzzy assessment of the integrity of structures containing defects.' International Journal of Pressure Vessels and Piping, 76(12) pp. 825-829.
Han, L., Han, L., Liu, Z. (1999) 'Neural network applied to the prediction of the failure stress for pressurized cylinders containing defects.' International Journal of Pressure Vessels and Piping, 76pp. 215-219-215-219.
Han, L., Han, L., Shen, B., Wu, D. (1999) 'Questions considered in object-oriented software quality metrics based on Java environment.' Journal of East China University of Science and Technology, 25pp. 85-87-85-87.
Han, L., Liu, G. (1998) 'Global Analysis of the Dennis--Wolkowicz Least-Change Secant Algorithm.' SIAM Journal on Optimization, 8(3) pp. 813-832.
Han, L., Rundquist, D.C. (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.
Lodhi, M.A., Rundquist, D.C., Han, L., Kuzila, M.S. (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.
Wang, Y., Han, L. (1997) 'On Zero-symmetric BZ-algebras.' Journal of East China University of Science and Technology, 23pp. 755-761-755-761.
HAN, L., RUNDQUIST, D.C. (1996) 'Spectral characterization of suspended sediments generated from two texture classes of clay soil.' International Journal of Remote Sensing, 17(3) pp. 643-649.
DI, L., RUNDQUIST, D.C., HAN, L. (1994) 'Modelling relationships between NDVI and precipitation during vegetative growth cycles.' International Journal of Remote Sensing, 15(10) pp. 2121-2136.
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Conference papers
Altan, H., Refaee, M., Han, L., Noguchi, M. 'Measured indoor Environment and Energy Consumption Compared to accepted Standards: A Case Study Home in South Ayrshire.'
Burcher, M.R., Lianghao Han, , Noble, J.A. 'Deformation correction in ultrasound images using contact force measurements.' In Workshop on Mathematical Methods in Biomedical Image Analysis. IEEE Comput. Soc,
Abedeen, Z., Ekpo, S., Ijaz, M., Raza, U., Alabi, S., Han, L. (2024) 'Path Loss Prediction of 5G in the 24.25-27.5 GHz Band based on Machine Learning.' 18/7/2023 - 20/7/2023. Ekpo, S.C. (ed.) Cham: Springer, pp. 19-28.
Kumar, A., Sharma, A., Ranjan, R., Han, L. (2024) 'FTL-Emo: Federated Transfer Learning for Privacy Preserved Biomarker-Based Automatic Emotion Recognition.' 785. pp. 449-460.
Zhang, X., Han, L. (2023) 'Accurate, automatic zero-shot wetland mapping from high resolution remote sensing imagery by prompting large foundation model (Segment Anything Model-SAM).'
Femi-Stevens, O.S., Ekpo, S., Han, L., Wang, Q., Gibson, A. (2022) 'Application of Machine Learning in Smart Factory Electromagnetic Radiation Exposure Levels Monitoring.' 24/5/2022 - 26/5/2022. CHIST-ERA,
Ekpo, S., Han, L., Zafar, M., Enahoro, S., Uko, M., Gibson, A. (2022) 'Internet of Things Public Key infrastructure using Reconfigurable Hardware Root of Trust.' In CHIST-ERA Conference 2022. Edinburgh, UK, 24/5/2022 - 26/5/2022. CHIST-ERA, pp. 1-19.
Ekpo, S., Han, L., Ijaz, M., zafar, M., Gibson, A. (2022) 'Machine Learning-based Signal Correlation for Improved Satellite-5G Cellular Convergence Use Cases Network Quality Metrics Prediction.' 24/5/2022 - 26/5/2022. Chist-Era,
Kavarakuntla, T., Han, L., Lloyd, H., Latham, A., Akintoye, S.B. (2022) 'Performance Analysis of Distributed Deep Learning Frameworks in a Multi-GPU Environment.' In 2021 20th International Conference on Ubiquitous Computing and Communications. London, UK, 20/12/2021 - 22/12/2021. IEEE,
Tantoush, M., Sengupta, U., Han, L. (2021) 'Analysing Urban Form and Activities for Smarter Cities through Crowdsourced Urban Data.' In 2021 International Symposium of Resilient City. Bejing, China, 3/11/2021 - 4/11/2021.
Han, L., Dou, Z., Liu, L. (2021) 'Message from the General Chairs iSCI 2021.'
Georgalas, N., Mumtaz, S., Han, L. (2020) 'Message from the BDCloud-2020 general chairs ISPA-BDCloud-SocialCom-SustainCom 2020.'
Haleem, M., Han, L., Harding, P., Ellison, M. (2019) 'An Automated Text Mining Approach for Classifying Mental-Ill Health Incidents from Police Incident Logs for Data-Driven Intelligence.' In Proceedings IEEE Conference on Systems, Man and Cybernetics 2019. Bari, Italy, 6/10/2019 - 9/10/2019. IEEE,
Han, L., Rana, O., Zhao, W. (2019) 'Message from the ScalCom 2019 general chairs.'
Bartlett, Z., Han, L., Nguyen, T.T., Johnson, P. (2019) 'Prediction of road traffic flow based on deep recurrent neural networks.' pp. 102-109.
Bartlett, Z., Han, L., Nguyen, T.T., Johnson, P. (2019) 'A Machine Learning Based Approach for the Prediction of Road Traffic Flow on Urbanised Arterial Roads.' pp. 1285-1292.
Dinarvand, P., Han, L., Coates, A., Han, L. (2019) 'Automatic Real-Time Prediction of Energy Consumption Based on Occupancy Pattern for Energy Efficiency Management in Buildings.' pp. 1299-1304.
Coates, A., Han, L., Kleerekoper, A. (2018) 'A Unified Opinion Framework Simulator.' 10/7/2018 - 15/7/2018. International Foundation for Autonomous Agents and MultiAgent Systems (IFAAMAS), pp. 1803-1805.
Coates, A., Han, L., Kleerekoper, A. (2018) 'A Unified Framework for Opinion Dynamics.' 10/7/2018 - 15/7/2018. International Foundation for Autonomous Agents and Multiagent Systems, pp. 1079-1086.
Han, , Haleem, M.S., Sobeih, T., Liu, Y., Soroka, A., Han, L. (2018) 'An Automated Cloud-based Big Data Analytics Platform for Customer Insights.' In 10th IEEE International Conference on Cyber, Physical and Social Computing. Exeter, UK, 21/6/2017 - 23/6/2017. IEEE, pp. 287-292.
Han, L. (2017) 'Towards Sustainable Smart Society.' In ICFNDS '17: International Conference on Future Networks and Distributed Systems. ACM,
Ghafir, I., Prenosil, V., Hammoudeh, M., Han, L., Raza, U. (2017) 'Malicious SSL certificate detection: A step towards advanced persistent threat defence.' In International Conference on Future Networks and Distributed Systems (ICFNDS 2017). Cambridge, United Kingdom, 19/7/2017 - 20/7/2017. Association for Computing Machinery (ACM),
Mohsin, J.K., Han, L., Hammoudeh, M., Hegarty, R.C. (2017) 'Two Factor Vs Multi-factor, an Authentication Battle in Mobile Cloud Computing Environments.' In International Conference on Future Networks and Distributed Systems (ICFNDS '17). Cambridge, Uk, 19/7/2017 - 20/7/2017. ACM,
Pereira, E., Hao, F., Han, L., Ren, J., Gao, S., Zhang, T., Wang, J. (2017) 'Message from the SmartData-2017 Workshop/Symposium Chairs.' 2018-January.
Han, L., Guo, L., Johnson, C. (2017) 'Message from the BigData-2017 Workshop Chairs.' 2018-January.
Cheng, J., Gould, N., Han, L., Jin, C. (2017) 'Big Data for urban studies: opportunities and challenges: a comparative perspective,.' 18/7/2016 - 21/7/2016. IEEE, pp. 1229-1234.
Ortega, J.L.G., Han, L., Bowring, N. (2016) 'A novel dynamic hidden semi-markov model (D-HSMM) for occupancy pattern detection from sensor data stream.'
Hammoudeh, M., Han, L. (2016) 'Message from the General Chairs.'
Tu, J., Cheng, J., Han, L. (2015) 'Big Data computation for workshop-based planning.' 26/10/2015 - 28/10/2015. IEEE,
Han, L., Guo, L., Singer, J. (2015) 'Message from the BigData 2015 workshop chairs.'
Haleem, M.S., Han, L., Van Hemert, J., Fleming, A. (2015) 'Glaucoma classification using Regional Wavelet Features of the ONH and its surroundings.' 2015-November. pp. 4318-4321.
Sobeih, T., whittaker, N., Han, L. (2015) 'DIVINE: Building a wearable device for intelligent control of environment using Google Glass.' In 2015, 14th IEEE International Conference on Ubiquitous Computing and Communications. Liverpool, 26/10/2015 - 28/10/2015. IEEE, pp. 1280-1285.
Gomez, J., Han, L. (2015) '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 - 25/9/2015.
Han, L., Haleem, M., Taylor, M. (2015) 'Novel Computer Vision-based Approach to Automatic Detection and Severity Assessment of Crop Diseases.' In IEEE Science and Information Conference (SAI), 2015. London, 28/7/2015 - 30/7/2015. IEEE, pp. 638-644.
Gomez, J., Han, L., whittaker, N., Bowring, N. (2015) 'A Machine-Learning Based Approach To Model User Occupancy And Activity Patterns For Energy Saving In Buildings.' In IEEE Science and Information Conference (SAI), 2015. London, 28/7/2015 - 30/7/2015. IEEE, pp. 474-482.
Xie, Z., Han, L., Baldock, R. (2015) 'Enhancing parallelism of data-intensive bioinformatics applications.' pp. 519-524.
Han, L., Altan, H., Noguchi, M. (2014) 'Occupants’ behaviour and the impact on home energy consumption and indoor environments: Demonstrated through an affordable house selected in scotland..' In In Grand Renewable Energy International Conference. Tokyo, 28/7/2014 - 1/8/2014.
Altan, H., Han, L., Noguchi, M. (2014) 'Good practice for future sustainable housing.' In ZEMCH 2014 International Conference. Londrina, Paraná, Brazil, 4/6/2014 - 6/6/2014. pp. 183-194.
Saeed, M., Han, L., Muyeba, M. (2014) 'An energy efficient and resource preserving target tracking approach for wireless sensor networks.' In 2014 9th International Symposium on Communication Systems, Networks & Digital Signal Processing (CSNDSP),. Manchester, UK, 23/7/2014 - 25/7/2014. IEEE, pp. 232-237.
Muyeba, M.K., Lewis, S.E., Han, L., Keane, J.A. (2013) 'Understanding Low Back Pain Using Fuzzy Association Rule Mining.' In 2013 IEEE International Conference on Systems, Man, and Cybernetics (SMC). 13/10/2013 - 16/10/2013.
Xie, Z., Han, L., Baldock, R. (2013) 'Augmented Petri Net Cost Model for Optimisation of Large Bioinformatics Workflows using Cloud.' In 2013 European Modelling Symposium (EMS). manchester, 20/11/2013 - 22/11/2013. IEEE, pp. 201-205.
Robert, F., Han, L. (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 - 9/7/2013. pp. 22-23.
Haleem, M.S., Han, L., Li, B., Nisbet, A., Hemert, J.V., Verhoek, M. (2013) 'Automatic extraction of the Optic Disc Boundary for Detecting Retinal Diseases.'
Muyeba, M.K., Han, L. (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 - 29/8/2013. ACM New York, pp. 1381-1386.
Han, L., Xie, Z., Baldock, R. (2013) 'Automatic data reuse for accelerating data intensive applications in the Cloud.' pp. 596-600.
Turedi, Z., han, L. (2012) 'A novel Automatic Log-File analyser for Mac OS X forensics.'
han, L., Altan, H., Noguchi, M. (2012) 'Promoting energy conscious behaviour of occupants through monitoring energy usage pattern.'
Altan, H., Refaee, M., han, L., Noguchi, M. (2012) 'Measured indoor environment and energy consumption compared to accepted standards: a case study home in South Ayrshire, UK.'
Liew, C.S., Atkinson, M.P., Hemert, J.I.V., Han, L. (2010) 'Towards optimising distributed data streaming graphs using parallel streams..' Hariri, S., Keahey, K. (ed.) ACM, pp. 725-736.
Yaikhom, G., Liew, C.S., Han, L., Hemert, J.I.V., Atkinson, M.P., Krause, A. (2010) 'Federated Enactment of Workflow Patterns..' 6271. D'Ambra, P., Guarracino, M.R., Talia, D. (ed.) Springer, pp. 317-328.
han, L., Saengngam, T., Hemert, J.I.V. (2010) 'Accelertaing data-intensive applications: a Cloud computing approach to parallel image pattern recognition tasks.'
Fernandez, J., han, L., nez, A.N., Carretero, J., Hemert, J.V. (2009) 'Using architectural simulation models to aid the design of data intensive application.' IEEE Conference Publications, pp. 163 - 168-163 - 168.
Han, L., Hemert, J.I.V., Baldock, R.A., Atkinson, M.P. (2009) 'Automating Gene Expression Annotation for Mouse Embryo..' 5678. Huang, R., Yang, Q., Pei, J., Gama, J., Meng, X., Li, X. (ed.) Springer, pp. 469-478.
Wickler, G., Beckett, G., Han, L., Koo, S.H., Potter, S., Pringle, G., Tate, A. (2009) 'Using simulation for decision support: lessons learned from FireGrid.' The Information Systems for Crisis Response and Management (ISCRAM) Community,
Dedinski, I., Meer, H.D., Han, L., Mathy, L., Pezaros, D.P., Sventek, J.S., Zhan, X. (2009) 'Cross-Layer Peer-to-Peer Traffic Identification and Optimization Based on Active Networking..' 4388. Hutchison, D., Denazis, S.G., Lefèvre, L., Minden, G.J. (ed.) Springer, pp. 13-27.
Upadhyay, R., Pringle, G., Beckett, G., Potter, S., Han, L., Welch, S., Usmani, A., Torero, J. (2008) 'An architecture for an integrated fire emergency response system for the built environment.' pp. 427-438.
han, L., Hemert, J.I.V. (2008) 'A Novel Visual Discriminator for Network Traffic Patterns.' IEEE Conference Publications, pp. 141 - 146-141 - 146.
Han, L., Asenov, A., Berry, D., Millar, C., Roy, G., Roy, S., Sinnott, R.O., Stewart, G. (2007) 'Towards a Grid-Enabled Simulation Framework for Nano-CMOS Electronics..' IEEE Computer Society, pp. 305-311.
Gao, C., Han, L., Cen, Z., Chu, C. (2001) 'A New Multifractal Traffic Model Based on the Wavelet Transform..' Sha, E.H.M. (ed.) ISCA, pp. 157-162.
Cen, Z., Cong, S., han, L. (2000) 'Measurement and analysis of IP network traffic.' Xi’an, P.R.China, 27-29, October, 2000: pp. 46-50-46-50.
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Presentations
Han, L. Failure-Aware, Semantic-supported, Dynamic Resource Discovery in Large-Scale Distributed Systems. [Presentation] Liverpool Hope University.,
Han, L. (2014) Large-scale data processing and data analytics on images. [Presentation] British Library,18/12/2014.
Han, L. (2014) Surfing the data tsunami: A new paradigm for big data processing and analytics. [Presentation] 25/6/2014.
Han, L. (2014) Big Data Processing and Analytics in the Cloud. [Presentation] University of Kent,14/4/2014.
Han, L. (2012) Automatic Annotation of Gene Expression Patterns for Mouse Embryo. [Presentation] School of Computing, at Beihang University, September, 2012, P. R. China,9/2012.
Han, L. (2012) Automatic Annotation of Gene Expression Patterns for Mouse Embryo. [Presentation] University of Edinburgh,7/2012.
Press and media
- “N2Vision”, BBC Look for EAST 09/112021, https://youtu.be/cIOWOZ23Tjs
- “N2Vision- Automated Nitrogen Diagnosis using Machine Vision/AI”, Agri-TechE, REAP 2021 https://app.hopin.com/events/reap-conference-2021/stages/10e72eca-53f6-…
- “Could AI ease food security fears?”, New food Magazine, 15/2/2021 https://www.newfoodmagazine.com/article/138114/ai-and-food-security/
- “Drones using AI and Big Data can detect diseased crops from the air”, https://www2.mmu.ac.uk/news-and-events/news/story/8539/
- “A Cloud-based, Mobile-enabled, Data-Driven Approach for Automatic Crop Disease Detection” http://www.agritechinchina.org/PC006
- “Artificial Intelligence and Machine learning, food security delivered through a mobile phone”, https://bbsrc.ukri.org/documents/bbsrc-business-summer-2018-pdf/
- “Photo-powered app could help farmers diagnose crop diseases themselves”, Nov. 2017, https://www2.mmu.ac.uk/news-and-events/news/story/index.php?id=6643
- An invited talk at British Library “Large-scale data processing and data analytics on images (with applications to Health, Food)”. https://www.youtube.com/watch?v=O9ak1qUTPVE, 2015
- A public professorial lecture “Surfing the data tsunami: paradigm for big data processing and analytics”, Manchester Metropolitan University, June 2014.
- “KTP to create Smart city software” (Cost-effective IT system will aid urban flow), 2015, http://www2.mmu.ac.uk/research/news-events/news/3691/ktp-to-create-smar…
- “£10 million project explores “Internet of Things”, 2015, http://www2.mmu.ac.uk/research/news-events/news/4012/10-million-project…
- “RESEARCH into disease-spotting software that detects glaucoma is being continued at the University after receiving extra funding”, 2015, http://www.staff.mmu.ac.uk/manmetlife/news/view/eye-disease-detection-s…
- “Rooting out crop disease by computer: Software spots infection to defend harvest yields”, 2014, http://www.mmu.ac.uk/news/news-items/2666/
- “Looking to the Cloud” (Big data research in the Cloud),Research Matter, pp.1, 2013, http://www.sci-eng.mmu.ac.uk/research_matters/winter_2013/
- “Clear vision- Computational analysis will improve the speed and accuracy in detecting eye disease”, Research Matter, pp.8. 2012, http://www.sci-eng.mmu.ac.uk/research_matters/autumn_2012/
- “Grant to develop software which can ‘see’ eye disease”, 2011 http://www.scmdt.mmu.ac.uk/news_and_events/news/news_view.asp?newsid=1610