Dr Dewei Yi

Biography

Prospective PhD students and academic visitors interested in 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 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 30+ 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

• 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

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 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