CV

EDUCATION

• PhD @University College London
  • Research: Multimodal Machine Learning; Sensor-fusion System; Human-centred AI
• MSc Artificial Intelligence @University of Edinburgh
  • Courses: Machine Learning and Pattern Recognition; Big Data Analysis; Natural Language Processing; Computer Vision; Human Interaction Design;
  • Research: End-to-End Machine Learning Positioning System based on Smartphone Multi-sensory; Applied Machine Learning; Mobile Systems; Multimodal Machine Learning
• BEng (Honours) Electronics and Electrical Engineering @University of Edinburgh
  • Courses: Wearable Device; Signal Processing; Analogue/Digital Circuit Design; Microelectronics; Power System Design; Bioinformatics
  • Research: Indoor Positioning based on Smartphone Sensors using Machine Learning
  • Awards: International Student Scholarship (£2000)

SKILLS

• Machine Learning & Pattern Recognition
• C/JAVA/Python/Matlab/VHDL Programming
• Mobile Sensing System Design
• Multimodal Machine Learning
• Cyber Physical System Design
• Data Analyse and Processing
• Algorithms Design
• Electronics/Electrical System Design
• Analogue/Signal Circuit Design
• Human Computer Interaction
• English/Chinese
• Violin

PUBLICATIONS

End-to-End Machine Learning for Smartphone-based Indoor Localisation and Tracking using Recurrent Neural Networks

Xijia Wei and Valentin Radu. "End-to-End Machine Learning for Smartphone-based Indoor Localisation and Tracking using Recurrent Neural Networks."

Calibrating Recurrent Neural Networks on Smartphone Inertial Sensors for Location Tracking

Xijia Wei and Valentin Radu. "Calibrating Recurrent Neural Networks on Smartphone Inertial Sensors for Location Tracking." 2019 International Conference on Indoor Positioning and Indoor Navigation (IPIN). IEEE, 2019.

Sensor-fusion for Smartphone Location Tracking using Hybrid Multimodal Deep Neural Networks

Xijia Wei, Zhiqiang Wei and Valentin Radu. Sensor-fusion for Smartphone Location Tracking using Hybrid Multimodal Deep Neural Networks. Sensors

MM-Loc: Cross-sensor Indoor Smartphone Location Tracking using Multimodal Deep Neural Networks

Xijia Wei, Zhiqiang Wei and Valentin Radu, MM-Loc: Cross-sensor Indoor Smartphone Location Tracking using Multimodal Deep Neural Networks in Proc. Int. Conf. Indoor Positioning Indoor Navigat. (IPIN), Nov. 2021, pp. 1–8.

MMLoc+: A Transfer Learning based Multimodal Machine Learning Localization System for Dynamic Sensor Networks

Xijia Wei and Valentin Radu. "MMLoc+: A Transfer Learning based Multimodal Machine Learning Localization System for Dynamic Sensor Networks."

Leveraging Transfer Learning for Robust Multimodal Positioning Systems based on Smartphone Multisensory Data

Xijia Wei and Valentin Radu, Leveraging Transfer Learning for Robust Multimodal Positioning Systems based on Smartphone Multisensory Data in Proc. Int. Conf. Indoor Positioning Indoor Navigat. (IPIN), Sep. 2022, pp. 1–8.

TALKS

An infrastructure-free smartphone locationing system using inertial sensor data

September 13, 2018

Talk at University of Cambridge, Department of Computer Science and Technology, Cambridge, UK

How recurrent neural network performs like pedestrian dead reckoning for indoor positioning

October 01, 2019

Talk at University of Pisa, Department of Computer Science, Pisa, Italy

An end-to-end multimodal deep neural network based smartphone cross-sensor tracking system

December 01, 2021

Talk at Universitat Oberta de Catalunya, Faculty of Computer Science, Multimedia and Telecommunications, Lloret de Mar, Spain

Leveraging Transfer Learning for Robust Multimodal Positioning Systems using Smartphone Multi-sensor Data

September 07, 2022

Talk at the Aerospace Information Research Institute, Chinese Academy of Sciences., Beijing, China

Leveraging WiFi Sensing Toward Automatic Recognition of Pain Behaviors

September 14, 2023

Talk at ACII 2023., MIT, US

WORK EXPERIENCE

• PhD Research Intern @Nokia Bell Labs, Cambridge, UK (June. 2023 - Sept. 2023)
  • Human-centred AI; Human Behaviour Understanding; Wearable Devices.
• AI Algorithm Researcher @Ubiquitous AI Lab, University of Sheffield (Nov. 2018 - Present)
  • Invest on an end-to-end multimodal deep learning network architecture for sensor-fusion smartphone based location tracking system
  • Lead research group in dataset collection, algorithm design, model optimisation and paper writing
• Fintech Department Manager @CNPC (Mar. 2019 - Present)
  • Director of Risk Management System Group
  • Director of Commercial Paper Exchange Platform Development Team
• AI Software Researcher @Scotland Microelectronics Centre, University of Edinburgh (Oct. 2016 - May 2017)
  • Develop an indoor positioning navigation system based on indoor WiFi received signal strength and electromagnetic distribution
  • Design electromagnetic distribution features based artificial neural network
  • Develop smartphone built-in sensors based indoor positioning navigation App
• Embedded Software Engineer @GUOZI Robots Automation Research Lab University of Zhejiang (Jun. 2016 - Aug. 2016)
  • Optimise the stability and efficiency of the control system of the chassis of the inspection robots
  • Improve system’s efficiency of 33% by self-clustering operating situations
• Mobile Software Engineer @Institute for Digital Communications, University of Edinburgh (Mar. 2016 - Dec. 2016)
  • Movement data collection and processing based on wearable devices
  • Instant user movement prediction AI system development. Clustering between walking, running, jumping, swimming and related complex non-periodical movements.
  • Deep neural network and convolutional neural network models based machine learning algorithm development and performance test
  • Improve the recognition accuracy from 60% to 97.4%
• Digital Security System Intern @Bank of England (Dec 2015 - Jan 2016)
  • Digital trading system development
  • Investment strategy
  • Risk management

Résumé

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