This is the web page of the AI and Cyber Security track of the ABCP 2024 Annual Conference, to be held on Friday 5th July 2024.


Friday 5th July 2024 (Venue: Room 042B, University of Leicester School of Business, Leicester LE2 1RQ +  MS Teams / Meeting ID: 332 228 460 628 Passcode: g5MMZ8)

1:30-2pm Theme: Cyber Security, Chaired by Professor Shujun Li, University of Kent, UK
1:30-1:45pm Perspectives on Generative AI Safety
Professor Xiaowei Huang, Professor of Computer Science and the Research Lead for the School of Electrical Engineering, Electronics, and Computer Science, University of Liverpool, UK
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Professor Xiaowei Huang

With the popularity of GPT and Sora, generative AI (GenAI) has become a new wave in AI for its ability to engage end-users in human-level conversations. This talk will address the safety issues surrounding GenAI and its applications. We will begin by reviewing AI safety topics in deep learning, then explore new safety concerns introduced by GenAI. Additionally, we will briefly discuss the current state-of-the-art solutions for AI/GenAI safety and conclude with a discussion on emerging technical trends in this field.


Xiaowei Huang is a Professor of Computer Science and the Research Lead for the School of Electrical Engineering, Electronics, and Computer Science at the University of Liverpool, UK. His research focuses on developing automated techniques to ensure the correctness and reliability of intelligent systems. He leads research in the verification and validation of deep neural networks and co-chairs the AAAI and IJCAI workshop series on Artificial Intelligence Safety. His research has been supported by EPSRC, the EU Horizon, ATI, the Royal Society, and Innovate UK.

1:45-2pm Actionable Recourse in AI-based Cyberthreat Detection
Dr Thomas Win, Associate Head of School of Computer Science in the Faculty of Technology, University of Sunderland, UK
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Dr Thomas Win

Dr Thomas Win is an Associate Head of School of Computer Science in the Faculty of Technology. He completed his PhD from Glasgow Caledonian University in 2016, having researched virtualisation security and security analytics. His research areas include cloud and operating systems security, Security Analytics using CTI (Cyber Threat Intelligence) as well as Cyber-Physical Systems security in Industry 4.0.
He is well-known for his leading research into Artificial Intelligence and Machine Learning, specialising in privacy-preserving Explainable AI (XAI) and Actionable Recourse. He has substantial experience in the design and development of AI-based systems using various deep learning and machine learning algorithms. His systems have been deployed in a wide range of areas, from cybersecurity to autonomous vehicles. Since obtaining his PhD in Computer Science, he has been actively involved in research exploring the intersection of cybersecurity, XAI and AR. He has successfully published his research findings in well-known conferences and journals.

2-3pm Theme: AI Application, Chaired by Dr Jiayan Qiu, University of Leicester, UK
2-2:15pm AI Aided Drive System Design, Control, and Maintenance for More Electric Aircraft Applications
Dr Yuan Gao, University of Leicester, UK
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Dr Yuan Gao

Yuan Gao (Member, IEEE) received his PhD degree in Electrical and Electronic Engineering (EEE) from the University of Nottingham, Nottingham, UK, in 2021. He studied his masters in Aeronautical Engineering at the Beihang University, Beijing, China, 2014-2017. He finished his Bachelor of Engineering degree in 2013 at the Dalian Maritime University, Dalian, China. In Feb 2023, He joined the School of Engineering at the University of Leicester, Leicester, UK, as a lecturer in EEE. Prior to that, he was a postdoc research associate in hybrid autonomous system engineering, Department of Aerospace Engineering, at the University of Bristol, Bristol, UK. His research interests include motor drive, model predictive control, multi-agent modelling and simulation, autonomous system engineering, machine learning-based design, control, and maintenance.
Dr Gao is a Reviewer for the IEEE Transactions on Industrial Electronics and IEEE Transactions on Power Electronics. He serves as the Financial Chair of ISEEIE 2024, Session Co-Chair of ESARS-ITEC 2024, and Session Co-Chair of AIAA/IEEE Electric Aircraft Technologies Symposium (EATS) 2020. He is a recipient of a highly prestigious Chinese National Award for Outstanding Students Abroad in 2021.

2:15-2:30pm AI Facilitated Resilient Localisation with High Integrity for Outdoor RF Harsh Applications
Dr Zhengjia Xu, Cranfield University, UK
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Dr Zhengjia Xu

Dr Zhengjia Xu is a research fellow in Position, Navigation and Timing (PNT) with the Centre for Autonomous and Cyber-Physical Systems in the School of Aerospace, Transport and Manufacturing. Before joining Cranfield University in 2023, Dr. Zhengjia Xu was previously enrolled as Senior Radio Frequency Engineer in Drone Defence Services, and junior consultant as Electronics and Embedded Software Engineer in Captec UK. With expertise in intelligent DSP, software-defined radio software development, and embedded system, he is currently working on designing and developing cutting-edge GNSS receivers and other ESA funded projects.

2:30-2:45pm Deep Learning-based Portfolio Optimization with Transaction Costs
Dr Aihua Zhang, Beijing Normal University-Hong Kong Baptist University United International College (UIC), China
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Dr Aihua Zhang

Dr Eva Zhang earned her PhD in Financial Mathematics from Kaiserslautern University of Technology with a full PhD scholarship from Fraunhofer Institute for Industrial Mathematics ITWM in Germany.
Dr Zhang received her MSc in Financial Mathematics from Kaiserslautern University of Technology in Germany. Dr. Zhang received another MSc in Mathematics Education and BSc in Mathematics from CCNU. Dr Zhang also studied MBA and received a Post Graduate Certificate in Management from the University of East Anglia (UK).
Before joining UIC in 2020, Dr Zhang worked at University of Leicester (UK), University of Munich (Germany), Nottingham University Business School (China). She also worked as a Post-doc researcher in Economics at the University of St Andrews (UK). Dr Zhang carries out inter-disciplinary research in the areas including FinTech, Data Analysis, Actuarial Science, Mathematical Finance and Economics. Dr Zhang’s sole authored paper, entitled New Findings on Key Factors Influencing the UK’s Referendum on Leaving the EU, published in World Development, has made a very significant impact beyond the academy in both the national and international media.

2:45-3pm Does Digitalization Promote the Effectiveness of Commercial Reform? Evidence from Stock Price Crash Risk
Dr Guanming He, Durham University, UK
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Dr Guanming He

Guanming’s research appears in varied prestigious international journals (FT 50/ABS 4-3 ranked) and has been featured in various mainstream media and press releases such as the Columbia Law School’s Blue Sky Blog on corporations and capital markets, the Canadian HR Newswire, the European Climate Change Review, the Institute of Chartered Accountants in England and Wales (ICAEW) insights, and Bloomberg media, etc. He is currently serving on the editorial advisory board of International Journal of Contemporary Hospitality Management, and on the editorial board of Corporate Governance: An International Review. He also serves as the ac hoc reviewer for a range of internationally reputable accounting, finance, management, and economics journals (FT 50/ABS 4-3 ranked) and books (by Cengage/Pearson/ SAGE). Thus far, he has performed hundreds of paper reviews as fairly and objectively as possible for various top-tier and second-tier international journals. He won best paper awards at the 3rd Australian Financial Market & Corporate Governance conference, 7th Indonesian Finance Association International Conference, 24th & 26th International Business Research conference, obtained a top paper award at the 28th annual Global Finance conference, as well as a Best-in-Track paper award at the 35th annual meeting of the Academy of Finance, and was nominated as a finalist for the best conference paper award of European Financial Management Association. He was the director of accounting PhD program, and on the university’s research degree committee, from 2019 to 2023.

3-3:30pm Break
2-3pm Theme: AI Development, Chaired by Dr Zheheng Jiang, University of Leicester, UK
3:30-3:45pm Dense Image Captioning for Comprehensive Scene Interpretation: Deep Learning Approaches and Insights
Dr Zhuang Shao, Newcastle University, UK
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Dr Zhuang Shao

Dr Zhuang Shao is a Lecturer (Assistant Professor) in Data Engineering and AI with the School of Engineering, Newcastle University. Before joining Newcastle University, he worked as a project engineer on a Digital Twins project with two famous UK companies, HBK and JCB at Warwick Manufacturing Group (WMG), University of Warwick, where he received his PhD. His research interests are computer vision and machine learning, specifically vision-language learning, multimedia data captioning, and pedestrian detection. He has published more than 10+ high-quality papers, including ACM Multimedia, T-NNLS, T-MM, T-CSVT and T-ITS. Due to his excellent research contributions, he was awarded Star Awards in 2022 and 2023 by WMG, as well as the Early Career Researcher Award by the Association of British Chinese Professors in 2022.

3:45-4pm People Counting in Video Footage From the Overhead View
Mr Keke Tang, Loughborough University, UK
4-4:15pm CM-PIE: Cross-modal Perception for Interactive-enhanced Audio-visual Video Parsing
Ms Yaru Chen, University of Surrey, UK
4:15-4:30pm Satisfactory Medical Consultation based on Terminology-Enhanced Information Retrieval and Emotional In-Context Learning
Mr Kaiwen Zuo, University of Warwick, UK
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Mr Kaiwen Zuo

Kaiwen Zuo, a first-year PhD student in the Department of Computer Science, University of Warwick. My research focuses on large language models and information retrieval, and I’ve published paper at the top conference ECIR. I’m a member of the Outstanding Young Scholars Society UK (OYSS), fellow of China-Britain Artificial Intelligence Association (CBAIA) and Alan Turing institute (ATI). I am the COO and co-founder Wisle Technology, an internet company focused on the growth of young individuals through the use of AI retrieval and digital identification. I’m always open to discussing academic and entrepreneurship topic with anyone interested.

4:30-4:45pm A Semi-supervised Method Based on Mean Teachers for Cardiac Images Segmentation
Ms Yuting Qiu, Loughborough University, UK
4:45-5pm Judging Panel Discussion

Organising Committee

  • Dr Jiayan Qiu (邱嘉琰博士), University of Leicester, UK
  • Dr Zheheng Jiang (江哲恒博士), University of Leicester, UK
  • Professor Shujun Li (李树钧教授), Professor of Cyber Security, University of Kent & Vice-President for IT & Governance and Co-Chair of ABCP Specialty Committee on AI  and Cyber Security, ABCP
  • Dr Tao Zhang (张涛博士), Loughborough University London, UK
  • Professor Huiyu Zhou (周挥宇教授), University of Leicester, UK & Co-Chair of ABCP Specialty Committee on AI and Cyber Security
  • Professor Huiru Zheng (郑慧如教授), Ulster University, UK & Co-Chair of ABCP Specialty Committee on AI and Cyber Security
  • Dr Chongyan Gu (谷翀燕博士), Queen’s University Belfast, UK & Co-Chair of ABCP Specialty Committee on AI and Cyber Security

How to join the sessions online

Please use the MS Teams Meeting ID: 332 228 460 628 Passcode: g5MMZ8, or scan the QR code below