Dr Po Yang

BSc (Hons), MSc, PhD

School of Computer Science

Senior Lecturer in Large Scale Data Fusion

Deputy Director of Research and Innovation

Member of the Pervasive Computing research group

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+44 114 222 1861

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Dr Po Yang
School of Computer Science
Regent Court (DCS)
211 Portobello
S1 4DP

Dr Po Yang (PY) is a Senior Lecturer of Large-scale Data Fusion in the Computer Science Department (COM) at the University of Sheffield (TUoS) and also the Deputy Director of Research and Innovation in COM. He obtained his BSc (Hons) in Computer Science from Wuhan University in China, MSc in Computer Science from the University of Bristol, and PhD in Electronic Engineering from Staffordshire University. Since 2015, he has built a research team at Liverpool John Moores University (2015 - 2019) and then Sheffield (2019 - now). 

Po has extensive research experience in pervasive and mobile intelligence, where he conducted interdisciplinary research across machine learning, pervasive computing, smart sensing, and data science. Since 2019, he has been the Principal Investigator on £1.1 million of research funding, and the Project Coordinator on over £2.6 million of research funding from InnovateUK, BBSRC, STFC, EPSRC, Research Englangd, industrial funds, etc. 

He has published 100+ journal papers and 80+ IEEE/ACM conference papers, with over 5000 citations (h-index 39). This includes 43 IEEE Trans/Journal, 10 top conferences (AAAI, KDD, and CIKM), 4 ESI Highly Cited Paper, and the 2022-Best Paper of IEEE IES Society TC-II. He serves as an Associate Editor in IEEE Journal of Translational Engineering in Health and Medicine, Journal of Biomedical Informatics and Scientific Reports

Research interests

Pervasive data mining, machine learning, image analysis, and precision agriculture.



  • Eigenbrode SD & Rashed A (2022) Advances in Understanding Insect Pests Affecting Wheat and Other Cereals. RIS download Bibtex download

Journal articles


Conference proceedings papers


  • Davila Garcia ML, Offiah A, Lanfranchi V, Villa Uriol MC & Yang P (2021) Image Analysis and machine learning for diagnosis of Skeletal dysplasias. Child Health Technology March 2021. RIS download Bibtex download



Current Grants

  • XAI-PPN: Interpretable AI-enabled Automatic Identification Pipeline for Plant-Parasitic Nematodes in Complex Mixtures, EPSRC, £115,604, as PI
  • Distillation: Knowledge Distillation empowered Mobile Intelligence Solution for Sustainable Management of Crop Pests and Soil Health, Innovate UK, 02/2024 - 01/2025 £103,214, as PI
  • Investigating Deep Learning enabled UAV Image Analysis Models for Crop Disease Detection and Monitoring, RCUK, 07/2023 - 06/2024, £30,017, as PI
  • Adaptive AI-enabled and Context-enhanced Mobile Intelligence for Climate-smart Pest Management to Optimise Sustainable and Resilient Farming, Innovate UK, 04/2023 – 09/2024, £160,000, as PI
  • Dynamic Active Learning for Objective Qualification of Physical Activity Behaviour in Free-living Environments - Studentship, EPSRC/Industrial, 10/2021 - 09/2025, £112,892, as PI
  • ClimateSmart: AI-enhanced Climate-Smart Fertiliser Management for Sustainable and Resilient Farming, Innovate UK, 01/2024 - 06/2023, £338,515, as PI.

Previous Grants

  • AI-enabled and Context-enhanced Mobile Intelligence for Sustainable Pest Management in Arable Crops, Research England, 03/2023 – 03/2024, £64,000, as PI
  • AIPPN: Interpretable AI enabled Molecular Identification Pipeline for Plant-parasitic Nematodes, Innovate UK, 09/2023 - 02/2023, £24,807, as PI
  • PestGPT: Integrating Visual Intelligence and ChatGPT into a Mobile Solution for Sustainable Pest Management, Innovate UK, 09/2023 - 02/2023, £24,807, as PI
  • Arable_ NemaRecognition: An AI- and moleuclar-driven pipeline for throughoput plant parasitic nematode recognition, BBSRC, 05/2023 – 10/2023, £75,000, as PI
  • AI-AMMS: AI coupled with Aerial iMaging and Mobile Sensing, Innovate UK, 09/2022 - 09/2023, £24,954, as PI
  • Investigating AI-enabled Mobility Network Models for Explaining Economic Inequities and Forecasting Recovery, Research England, 02/2022 - 07/2022, £24,900, as PI
  • Integrating Visual and Context Information into a Mobile Intelligence Solution for Sustainable Management of Wheat Pests and Soil Health, Innovate UK, 10/2021 - 03/2023, £52,377, as PI
  • Farmer-centred Interoperable Mobile-Cloud System: Integrating Data from Farming Activities and Environmental Information for Sustainable Fertiliser Management, Innovate UK, 03/2021 - 02/2024, £165,681, as PI
  • Isolation-Care Tele-Robotic System and its Efficient Utilization for the Prevention of Nosocomial Infection of the COVID-19, Worldwide Universities Network, 06/2020 - 06/2021, £3,333, as PI
  • Clever-dREAMS: Using artificial intelligence to enhance the diagnosis of rare skeletal dysplasias in children, MRC, 12/2019 - 04/2021, £74,668, as Co-PI