Dr Dewei Yi
Dr Dewei Yi

Dr Dewei Yi

B.Sc.(Eng), M.Sc., Ph.D.




Prospective PhD students and academic visitors interested in Hybrid intelligent Systems and Robotics, Applied Machine Learning, Intelligent Vehicles, Advanced Driver Assistance Systems (ADAS), Personalised Systems, Vision-based Semantic Understanding, Remote Sensing, Precision agriculture, etc. are encouraged to contact me by email with your full CV. You will receive both high-level and in-depth technical guidance for high-quality research including prestigious journal publications.


Dr Dewei Yi was born in China in 1991. He is now a UK Lecturer (tenure track assistant professor equivalently) in Machine Learning, School of NCS, at University of Aberdeen (UoA), U.K. He received a PhD degree in the Department of Aeronautical and Automotive Engineering, Loughborough University, U.K. in 2018. He was awarded School Research Student Development Fund in 2017; From Jul/2019 to Jan/2020, Dr Yi worked as a research fellow of Warwick Manufacturing Group at University of Warwick.

He has published about 20+ high-quality research papers including IEEE Transactions (10+), Transportation Research Part C: Emerging Technology (1), Computer Networks (1). He has also established a stable collaboration with several universities and institutes such as University of Warwick, Loughborough University, Aberystwyth University, NIAB-EMR, CABI, and AVL Powertrain Ltd.

He also served as a Track co-chair for IEEE 96th Vehicular Technology Conference (VTC2022) and a guest editor of Electronics Journal. In addition, he also serves research community actively as a reviewer for several international journals, such as IEEE-TIE, IEEE-TVT, IEEE-TITS, Transportation Research Part C, and Accident Analysis and Prevention, and top conferences, such as IJCAI, ITS, and ICUAS. He is an Outstanding Reviewer for Transportation Research Part C: Emerging Technology; 

Internal Memberships

Director of MSc AI Programme


Research Overview

  • Hybrid Intelligent Systems and Robotics
  • Applied Machine Learning
  • Generalised AI
  • Intelligent Vehicles
  • Personalised Advanced Driver Assistance Systems (ADAS)
  • Vision-based Semantic Understanding
  • Remote Sensing
  • Precision Agriculture


I have seven PhD students working on AI, Computer Vision, and Machine Learning based projects, including brain-inspired machine learning, medical image processing, fairness in machine learning, explainable AI, personalised federated learning, knowledge graph, and natural language generation for driving safety.


Funding and Grants

  • Co-PI (CS), The Personalised healthy ageing: AI-based approach to predicting changes in self-perception and the relationship to cognitive decline, UKRI BBSRC, £103K .
  • PI (Aberdeen), Smartawl 4.0, Marine Fund Scotland, £157K, October 2021 – March 2022.
  • PI, Individual Facial Biological Age Estimate for Healthy Ageing (SF10206-57), Internal Funding to Pump-Prime Interdisciplinary Research and Impact, University of Aberdeen, 6,322.18 GBP, June 2021 - July 2021.

Teaching Responsibilities

CS5060: Foundation of Artificial Intelligence

CS5062: Machine Learning

CS502K: Symbolic AI

CS5917: Project in Artificial Intelligence

CS5097, CS5098: Database Systems and Big Data (2021-2022)

CS4594: Single Honours Erasmus Computing Project

CS4525, CS4529: Single Honours Computing Project

CS3028: Principles of Software Engineering

CS3528: Software Engineering and Professional Practice



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Chapters in Books, Reports and Conference Proceedings

Contributions to Conferences

Contributions to Journals

Working Papers