Jiawei Zheng

Jiawei Zheng

Postdoctoral Research Fellow

DigitLab

Jiawei Zheng is a Postdoctoral Research Fellow in DigitLab. Prior to this, he obtained PhD degree in AI from University of Edinburgh, supervised by Prof. Jacques Fleuriot, Prof. Jane Hillston and Dr. Petros Papapanagiotou. His PhD is funded by School of Informatics PhD Scholarship. Prior to that, he obtained MEng degree (National Scholarship) in Computer Science from Xidian University, supervised by Prof. Yulong Shen.

His research interests focuses on AI, covering Machine and Deep learning, LLMs, the integration of IoT sensors, blockchain, as well as human machine interactions. His work is dedicated to addressing real-world challenges through applied research in innovative AI methodologies, including process-driven, event-driven, data-driven, and agent-driven systems.

He is interested in make impact across diverse domains, such as manufacturing, healthcare, social care and Activities of Daily Living (ADLs).

Interests
  • Machine and Deep Learning
  • Large Language Models (LLMs)
  • Process Mining
  • Internet of Things (IoT)
  • Blockchain
Education

  • PhD in Artificial Intelligence (AI), 2020 - 2024

    University of Edinburgh

  • MEng in Computer Science, 2017 - 2020

    Xidian University

News

[Sep 3, 2024] Offically awarded my PhD degree.
[Sep 2, 2024] Joined DigitLab as a Postdoctoral Research Fellow.
[Aug 29, 2024] Successfully defend my PhD thesis with no correction.
[Jun 25, 2024] Present the work of Process-aware Human Activity Recognition at Multimodal AI workshop.
[Jan 3, 2024] Present our work of probabilistic conformance checking at HICSS conference in Honolulu, Hawaii.
[Oct 3, 2023] Awarded SCISA research funding.
[Sep 20, 2023] Awarded AIAI, ACRC and IGS student travel grant.
[Aug 20, 2023] Our paper “Alignment-based conformance checking over probabilistic events” is accepted by Hawaii International Conference on System Science (HICSS, ranked A).
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Projects

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All ADLs Blockchain IoT
AI-Powered Image and Video Generation with ComfyUI
Leveraging the ComfyUI platform to explore and implement a variety of AI models for image and video generation.
AI-Powered Image and Video Generation with ComfyUI
Process-aware Pattern Recognition and Deviation Detection Under Uncertainty
Leveraging domain knowledge (process) to enhance the perforamnce and interpretability of machine learning models and handling uncertain and probabilistic data.
Process-aware Pattern Recognition and Deviation Detection Under Uncertainty
Advanced Care & Research Center (ACRC)
Data-driven innovations for healthy ageing, funded by Legal & General for £20 million.
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Advanced Care & Research Center (ACRC)
Trusted and controlled sharing technology and system of multi-domain IoT based on blockchain
Key Research & Development Program of Shaanxi Province, aiming to develop decentralized data sharing and access control mechanism.
Trusted and controlled sharing technology and system of multi-domain IoT based on blockchain
Intelligent service transaction operation mechanism and performance optimization technology
This is a National Key Research & Development Program of China, aiming to develope blockchain-based service transaction system and improve the performance of blockchain.
Intelligent service transaction operation mechanism and performance optimization technology
Comprehensive IoT access and service delivery platform and demonstration application
This is a Shaanxi Science & Technology Coordination & Innovation Project, aiming to adaptive access for heterogeneous IoT devices and design next generation of IoT architecture.
Comprehensive IoT access and service delivery platform and demonstration application

Recent Publications

Process-aware Human Activity Recognition
Humans naturally follow distinct patterns when conducting their daily activities, which are driven by established practices and …
Jiawei Zheng, Petros Papapanagiotou, Jacques D. Fleuriot, Jane Hillston
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Process-aware Human Activity Recognition
Alignment-based conformance checking over probabilistic events
Conformance checking techniques allow us to evaluate how well some exhibited behaviour, represented by a trace of monitored events, …
Jiawei Zheng, Petros Papapanagiotou, Jacques D. Fleuriot
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Alignment-based conformance checking over probabilistic events
Predictive Behavioural Monitoring and Deviation Detection in Activities of Daily Living of Older Adults
Predictive behaviour monitoring of Activities of Daily Living (ADLs) can provide unique, personalised insights about an older person’s …
Jiawei Zheng, Petros Papapanagiotou
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Predictive Behavioural Monitoring and Deviation Detection in Activities of Daily Living of Older Adults
MicrothingsChain: Blockchain-based Controlled Data Sharing Platform in Multi-domain IoT
The vision of the Internet of Things (IoT) is creating an open and shared world connected to everything, making people’s lives more …
Xinghui Zhu, Jiawei Zheng, Baoquan Ren, Xuewen Dong, Yulong Shen
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MicrothingsChain: Blockchain-based Controlled Data Sharing Platform in Multi-domain IoT
BC-RAN: Cloud radio access network enabled by blockchain for 5G
Cloud radio access network (C-RAN) supports the explosion of Internet of Things (IoT) applications and the demand for massive access in …
Wei Tong, Xuewen Dong, Yulong Shen, Jiawei Zheng
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Services

Journal Reviewer:

Conference Reviewer:

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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