Jiawei Zheng

Jiawei Zheng

PhD student

University of Edinburgh

About Me

I am a PhD student at AIML lab in the School of Informatics, University of Edinburgh, supervised by Prof. Jacques Fleuriot, Prof. Jane Hillston and Dr. Petros Papapanagiotou. My PhD is funded by School of Informatics PhD Scholarship. I am a researcher in Artificial Intelligence and its Applications Institute (AIAI) and Advanced Care Research Centre. Prior to that, I obtained MEng degree (National Scholarship) in Computer Science from Xidian University, supervised by Prof. Yulong Shen.

I am conducting research on leveraging domain-specific knowledge (processes) to enhance the performance and interpretability of machine learning models and handling uncertain and probabilistic data.

My research interests focus on integrating pervasive sensors (wearable and ambient sensors) and Neuro-symbolic AI techniques for healthcare and social care problems, applied research of novel methods, such as process-, event-, data-driven systems.

News

  • [Jan, 2024] Present our work of probabilistic conformance checking at HICSS conference in Honolulu, Hawaii.
  • [Oct, 2023] Awarded SCISA research funding.
  • [Sep, 2023] Awarded ACRC and IGS student travel grant.
  • [Aug, 2023] Our paper “Alignment-based conformance checking over probabilistic events” is accepted by Hawaii International Conference on System Science (HICSS, ranked A).
  • [May, 2023] Give a talk of Digital Twin for Assisted Living in Xidian University.
  • [Mar, 2022] Give a talk of Activities of Daily Living of Older Adults in Advanced Care Research Centre, Usher Institute.
  • [Feb, 2022] Present the work of Predictive Behavioural Monitoring and Deviation Detection in Activities of Daily Livings of Older Adults in International Conference on Health Informatics.
Interests
  • Machine Learning
  • Deep Learning
  • Process Mining
  • Internet of Things
  • Blockchain
Education
  • PhD in Computer Science, 2020 - Present

    University of Edinburgh

  • MEng in Computer Science, 2017 - 2020

    Xidian University

  • BSc in Electronic and Information Engineering, 2013 - 2017

    Liaoning University of Technology

Experience

 
 
 
 
 
Artificial Intelligence Applications Institute (AIAI)
Student chair
Sep 2020 – Present Edinburgh, UK

Responsibilities include:

  • Chairing AIAI seminars.
  • Participanting research project.
 
 
 
 
 
University of Edinburgh
Tutor & Teaching Assistant (TA)
Sep 2021 – Present Edinburgh, UK
Teaching Reasoning and Agents course, the foundation of Artificial Intelligence.
 
 
 
 
 
Shaanxi Key Laboratory of Network and System Security
Group leader
Sep 2017 – Jul 2020 Xi'an, China
Leading Blockchain & IoT group.
 
 
 
 
 
Network and Information Center of Liaoning University of Technology
Technical Group leader
Sep 2014 – Jul 2017 Jinzhou, China

Responsibilities include:

  • Maintaining website of schools and special sessions.
  • Participanting CTF competitions.

Recent Publications

All publications are available here.
(2023). Alignment-based conformance checking over probabilistic events. 57th Hawaii International Conference on System Sciences.

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(2022). Predictive Behavioural Monitoring and Deviation Detection in Activities of Daily Living of Older Adults. 15th International Joint Conference on Biomedical Engineering Systems and Technologies.

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(2021). MicrothingsChain: Blockchain-based Controlled Data Sharing Platform in Multi-domain IoT. Journal of Networking and Network Applications.

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(2020). BC-RAN: Cloud radio access network enabled by blockchain for 5G. Computer Communications.

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(2020). Decentralized and Secure Cross-Domain Data Sharing Scheme Based on Blockchain for Application-Centric IoT. Journal of Information Science & Engineering.

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Teaching and Student Advising

Teaching:

Student Advising:

  • Simon Yu - Undergraduate, 2023

    Temporal Feature Embeddings for Human Activity Recognition in ADLs

  • Leo Kravtchin, Undergraduate, 2023

    Detecting Long-term Deviation and External Factors Correlations in Activities of Daily Living based on Sensor Data

  • Dimitris Christodoulou, MInf, 2022

    Activity Tracking and Localisation Using Wi-Fi Data

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