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Dr Nanlin Jin

Senior Lecturer

Department: Computer and Information Sciences

Natlin -JinShe has worked for EPSRC and Technology Strategy Board’s projects as a post-doc. She has published in the research areas of data analytics, IoT, and heuristic optimization. Since 2016, she has been the Lead Academic for an Innovate UK - Knowledge Transfer Partnership project to research data communication in Internet of Things (IoT).

She also has extensive Higher Education teaching experiences.  As a module leader, she has taken the responsibility of designing, and/or re-designing learning objectives, syllabus, learning outcomes, learning materials, and assessments. Since 2013 she has taught 9 different modules in Computer Science, at different levels: BSc Computer Science 1st, 2nd, 3rd years, MSc computer science, and BSc apprenticeship degree courses.




Key Publications

  • Please visit the Pure Research Information Portal for further information
  • Low-Cost Automatic Slope Monitoring Using Vector Tracking Analyses on Live-Streamed Time-Lapse Imagery, Khan, M., Dunning, S., Bainbridge, R., Martin, J., Diaz-Moreno, A., Torun, H., Jin, N., Woodward, J., Lim, M. 27 Feb 2021, In: Remote Sensing
  • Data-driven Sensor Fault Estimation for the Wind Turbine Systems, Rahimilarki, R., Gao, Z., Jin, N., Binns, R., Zhang, A. Jun 2020, 2020 IEEE 29th International Symposium on Industrial Electronics (ISIE 2020), Piscataway, Institute of Electrical and Electronics Engineers Inc.
  • Laplacian Scores-Based Feature Reduction in IoT Systems for Agricultural Monitoring and Decision-Making Support, Tsapparellas, G., Jin, N., Dai, X., Fehringer, G. 8 Sep 2020, In: Sensors
  • A Big Data Platform for Smart Meter Data Analytics, Wilcox, T., Jin, N. 1 Feb 2019, In: Computers in Industry
  • An Application of Sentiment Analysis Techniques to Determine Public Opinion in Social Media, Jones, A., Ellman, J., Jin, N. 22 Oct 2019, Proceedings International Conference on Information Society (i-Society 2019)
  • Automated Blood Cell Detection and Counting via Deep Learning for Microfluidic Point-of-Care Medical Devices, Xia, T., Jiang, R., Fu, Y., Jin, N. 17 Oct 2019, In: IOP Conference Series: Materials Science and Engineering
  • Modelling land use dynamics in socio-ecological systems: A case study in the UK uplands, Termansen, M., Chapman, D., Quinn, C., Fraser, E., Jin, N., Beharry-Borg, N., Hubacek, K. 2019, Advances in Ecological Research, Elsevier
  • Time-series deep learning fault detection with the application of wind turbine benchmark, Rahimilarki, R., Gao, Z., Jin, N., Zhang, A. Jul 2019, 2019 IEEE 17th International Conference on Industrial Informatics (INDIN), Piscataway, NJ , IEEE
  • Adoption of Cloud Computing in Hotel Industry as Emerging Services, Vella, E., Yang, L., Anwar, N., Jin, N. 15 Mar 2018, International Conference on Information, Springer
  • Cloud Computing Deployment: A Cost-Modelling Case-Study, Ellman, J., Lee, N., Jin, N. 5 Dec 2018, In: Wireless Networks

PGR Supervision

Pingfan Wang Detection of different types of concept drifts in single non-stationary data stream Start Date: 01/10/2019


  • Computing Science PhD April 02 2007
  • Fellow (FHEA) Higher Education Academy (HEA) 2015
  • Information not provided Association of Computing Machinery (ACM) 2013
  • Information not provided Game Theory Society 2013
  • Information not provided Institute of Electrical & Electronic Engineers (IEEE) 2013

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