Dr Dewei Yi

Dr Dewei Yi
Dr Dewei Yi
Dr Dewei Yi

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

Senior Lecturer

Accepting PhDs

About

Biography

Prospective PhD students and academic visitors interested in Computer Vision, AI-enabled Healthcare, Hybrid Intelligent Systems and Robotics, Applied Machine Learning, Intelligent Vehicles, Medical Image Processing, Personalised Systems (e.g., healthcare and wellbeing), 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 is now Senior Lecturer (associate professor), 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 40+ high-quality research papers including IEEE Transactions (10+), Transportation Research Part C: Emerging Technology(TRC), Computer Networks. 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, TRC, and Accident Analysis and Prevention, and top conferences, such as IJCAI, ITS, and ICUAS. He is an Outstanding Reviewer for TRC; 

 

Research experiences

2023/08 - now: Senior Lecturer (Associate Professor), Department of Computing Science, University of Aberdeen, U.K.

2020/04 - 2023/07: Lecturer (Assistant Professor), Department of Computing Science, University of Aberdeen, U.K. 

Qualifications

  • Fellow of HEA 
    2023 - AdvanceHE 

Internal Memberships

Director of MSc AI Programme

Director of MSc Robotics and AI Programme (in CS)

Latest Publications

  • Personalised Multi-Task Federated Learning for Diabetic Retinopathy Medical Image Classification

    Li, Y., Sharma, P., Leontidis, G., Yi, D.
    Contributions to Journals: Conference Articles
  • Enhanced Multi-Branch Learning for Long-Tailed Image Recognition

    Yi, D.
    Multimedia Systems
    Contributions to Journals: Articles
  • Accelerate Training of Personalised Multi-Task Federated Learning

    Li, Y., Sharma, P., Leontidis, G., Yi, D.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
  • Emo-LSTM: An Emotion Recognition Model of ECG Data Based on Long Short-Term Memory

    Tian, Z., Liu, H., Mi, D., Yi, D., Li, Q.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
  • Extraction of Forearm Near-Infrared Vascular Skeleton Based on Zhang-Suen Refinement Algorithm

    Ji, Q., Liu, H., Tian, Z., Wang, S., Li, Q., Yi, D.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings

View My Publications

Research

Research Overview

  • AI-enabled Healthcare
  • Embedded AI in Healthcare
  • 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

Research Areas

Accepting PhDs

I am currently accepting PhDs in Computing Science.


Please get in touch if you would like to discuss your research ideas further.

Email Me

Computing Science

Supervising
Accepting PhDs

Supervision

My current supervision areas are: Computing Science.

I have many 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.

My graduated PhDs:

Dr Debinal Bakyavathi Rajan

Dr Sami Hamid Al Sulaimani

Dr Adinath Abhimanyu Ghadage

Funding and Grants

  • PI (Aberdeen), Smartawl 5.0, Fisheries Innovation & Sustainability (FIS), £408K, April 2023 – September 2024.
  • Co-PI (CS), Achieving Self-directed Integrated Cancer Aftercare (ASICA) In Melanoma: Developing And Enhancing The Intervention Using Evidence From The Pilot Study And Emergent Technologies, Cancer Research UK (CRUK), £422K .
  • 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, Fisheries Innovation & Sustainability (FIS), £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.
  • Co-PI (CS), ASICA USA Pilot, CONVERGE award, $10,000, May 2023 – March 2024.
  • Co-PI (CS), A pilot study to assess international potential for ASICA, Knowledge Exchange and Commercialisation (KEC) Award , £8,000.
Teaching

Teaching Responsibilities

CS5060: Foundation of Artificial Intelligence

CS5062: Machine Learning

CS502K: Symbolic AI

CS5917: Project in Artificial Intelligence

CS5097: Introduction to Programming (Sep)

CS5097, CS5098: Database Systems and Big Data 

CS551T: Project in Artificial Intelligence

CS551M: MEng Project 

CS551N: Introduction to Programming (Jan)

CS4594: Single Honours Erasmus Computing Project

CS4525, CS4529: Single Honours Computing Project

CS3028: Principles of Software Engineering

CS3528: Software Engineering and Professional Practice

 

Publications

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Chapters in Books, Reports and Conference Proceedings

Contributions to Conferences

Contributions to Journals