Occubuy Australian Institute of Company Directors

Sydney, New South Wales, Australia
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Prof. Amy Shi-Nash is an impact-focused executive, founder, professor and board member…

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Licenses & Certifications

Publications

  • Internet of Things and Data Analytics Handbook

    Wiley

    Edited by Hwaiyu Geng.
    Internet of Things and Data Analytics Handbook describes essential technical knowledge, building blocks, processes, design principles, implementation, and marketing for IoT projects. It provides readers with knowledge in planning, designing, and implementing IoT projects. The book is written by experts on the subject matter, including international experts from nine countries in the consumer and enterprise fields of IoT. The text starts with an overview and anatomy…

    Edited by Hwaiyu Geng.
    Internet of Things and Data Analytics Handbook describes essential technical knowledge, building blocks, processes, design principles, implementation, and marketing for IoT projects. It provides readers with knowledge in planning, designing, and implementing IoT projects. The book is written by experts on the subject matter, including international experts from nine countries in the consumer and enterprise fields of IoT. The text starts with an overview and anatomy of IoT, ecosystem of IoT, communication protocols, networking, and available hardware, both present and future applications and transformations, and business models.

    See publication

  • A Distributed Graph Algorithm for Discovering Unique Behavioral Groups from Large-Scale Telco Data

    CIKM 2016 : The 25th ACM International Conference on Information and Knowledge Management

    It is critical for a large telecommunications company such as Singtel to truly understand the behaviour and preference of its customers, in order to win their loyalty in a highly fragmented and competitive market. In this paper we propose a novel graph edge-clustering algorithm (DGEC) that can discover unique behavioural groups, from rich usage data sets. A behavioural group is a set of nodes that share similar edge properties reflecting customer behaviour, but are not necessarily connected to…

    It is critical for a large telecommunications company such as Singtel to truly understand the behaviour and preference of its customers, in order to win their loyalty in a highly fragmented and competitive market. In this paper we propose a novel graph edge-clustering algorithm (DGEC) that can discover unique behavioural groups, from rich usage data sets. A behavioural group is a set of nodes that share similar edge properties reflecting customer behaviour, but are not necessarily connected to each other and therefore different from the usual notion of graph communities. DGEC is an optimization-based model that uses the stochastic proximal gradient method, implemented as a distributed algorithm that scales to tens of millions of nodes and edges. The performance of DGEC is satisfactory for deployment, with an execution time of 2.4 hours over a graph of 5 million nodes and 27 million edges in a 8-machine environment (32 cores and 64GB memory per machine). We evaluate the behavioural groups discovered by DGEC by combining other information such as demographics and customer profiles, and demonstrate that these behavioural groups are objective, consistent and insightful. DGEC has now been deployed in production, and also shows promising potential to extract new usage behavioural features from other data sources such as web browsing, app usage and TV consumption.

    Other authors
    • Qirong Ho
    • Wenqing Lin
    • Keen Dang
    • Jingxuan Wang
    • Eran Shaham
    • Shonali Krishnaswamy

  • Traffic measurement and route recommendation system for Mass Rapid Transit (MRT)

    21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2015)

    Understanding how people use public transport is important for the operation and future planning of the underlying transport networks. We have therefore developed and deployed a traffic measurement system for a key player in the transportation industry to gain insights into crowd behavior for planning purposes. The system has been in operation for several months and reports, at hourly intervals, (1) the crowdedness of subway stations, (2) the flows of people inside interchange stations, and (3)…

    Understanding how people use public transport is important for the operation and future planning of the underlying transport networks. We have therefore developed and deployed a traffic measurement system for a key player in the transportation industry to gain insights into crowd behavior for planning purposes. The system has been in operation for several months and reports, at hourly intervals, (1) the crowdedness of subway stations, (2) the flows of people inside interchange stations, and (3) the expected travel time for each possible route in the subway network of Singapore. The core of our system is an efficient algorithm which detects individual subway trips from anonymized real-time data generated by the location based system of Singtel, the country's largest telecommunications company. To assess the accuracy of our system, we engaged an independent market research company to conduct a field study--a manual count of the number of passengers boarding and disembarking at a selected station on three separate days. A strong correlation between the calculations of our algorithm and the manual counts was found. One of our key findings is that travelers do not always choose the route with the shortest travel time in the subway network of Singapore. We have therefore also been developing a mobile app which allows users to plan their trips based on the average travel time between stations.

    Other authors
    See publication

  • Next Place Prediction by Understanding Mobility Patterns

    In Procs. of the 4th Int. Workshop on the Impact of Human Mobility in Pervasive Systems and Applications, 13th IEEE Int. Conference on Pervasive Computing and Communications, PerCom 2015

  • KDD 2015

    -

Patents

  • Transportation Network Monitoring Using Cellular Radio Metadata

    Filed US 14/963289

    Other inventors

  • Traffic Prediction and Real Time Analysis System

    Filed US PCT/IB2015/055338

    Other inventors

  • PREDICTING HUMAN MOVEMENT BEHAVIORS USING LOCATION SERVICES MODEL

    Filed US PCT/IB2014/064554

    Other inventors

  • KNOWLEDGE MODEL FOR PERSONALIZATION AND LOCATION SERVICES

    Filed US PCT/IB2014/060987

    Other inventors

  • METHOD AND SYSTEM FOR GENERATING AN ACTIVITY GRID TABLE

    Filed US IT1014002606

    Other inventors

Organizations

  • Springer Nature's AI Ethics Journal

    Founding Editorial Board Member

    - Present

    AI and Ethics Journal seeks to promote informed debate and discussion of the ethical, regulatory, and policy implications that arise from the development of AI. It will focus on how AI techniques, tools, and technologies are developing, including consideration of where these developments may lead in the future. Watch the launch event here: AI and Ethics seeks to promote informed debate and discussion of the ethical, regulatory, and policy implications that arise from the development of AI. It…

    AI and Ethics Journal seeks to promote informed debate and discussion of the ethical, regulatory, and policy implications that arise from the development of AI. It will focus on how AI techniques, tools, and technologies are developing, including consideration of where these developments may lead in the future. Watch the launch event here: AI and Ethics seeks to promote informed debate and discussion of the ethical, regulatory, and policy implications that arise from the development of AI. It will focus on how AI techniques, tools, and technologies are developing, including consideration of where these developments may lead in the future.

  • Initiative for Analytics and Data Science Standards (IADSS)

    Advisory Board member

    - Present

    As the role of data science and analytics is expanding very rapidly in creating new business models or changing existing ones, the demand for analytics professionals is growing at an increasing rate. However, almost every company in the industry has a unique way of defining roles and assigning titles in data analytics related positions which have resulted in a chaotic market that is confusing to employers, academic and training institutions, and candidates; Initiative for Analytics and Data…

    As the role of data science and analytics is expanding very rapidly in creating new business models or changing existing ones, the demand for analytics professionals is growing at an increasing rate. However, almost every company in the industry has a unique way of defining roles and assigning titles in data analytics related positions which have resulted in a chaotic market that is confusing to employers, academic and training institutions, and candidates; Initiative for Analytics and Data Science Standards (IADSS) has been launched to address this, and support the development of standards regarding analytics role definitions, required skills and, career advancement paths.

  • i-Com

    Member of Data Science Board. Member of AI Board

    - Present

  • Bank of England / Financial Conduct Authority - Artificial Intelligence Public Private Forum

    Member

    -

    Artificial Intelligence Public-Private Forum In June 2019, the Bank of England (BoE) Governor Mark Carney announced plans to set up a forum to look at the impact of artificial intelligence (AI) and machine learning (ML) on financial services, working together with the Financial Conduct Authority (FCA). The AIPPF will seek to: - share information and understand the practical challenges of using AI and ML within financial services, the barriers to deployment and any potential risks or…

    Artificial Intelligence Public-Private Forum In June 2019, the Bank of England (BoE) Governor Mark Carney announced plans to set up a forum to look at the impact of artificial intelligence (AI) and machine learning (ML) on financial services, working together with the Financial Conduct Authority (FCA). The AIPPF will seek to: - share information and understand the practical challenges of using AI and ML within financial services, the barriers to deployment and any potential risks or trade-offs - gather views on areas where principles, guidance, regulation or good practice examples could support safe adoption of these technologies - consider if firms’ involvement could be useful and what form it could take Amy is appointed as a member of AI PPF. The list of members can be found here. https://www.bankofengland.co.uk/-/media/boe/files/research/artificial-intelligence-public-private-forum.pdf?la=en&hash=E2686EDD1B300E3ADA5A4E0624C2F3ABE7B0EF4D

  • SIGKDD Australia and New Zealand Chapter

    Co-chair

    -

  • The Australian Museum Eureka Prizes

    Judge

    -

    Australian Museum's Eureka Prizes is the country's most comprehensive national science awards, honouring excellence across the areas of research & innovation, leadership, science engagement, and school science. Presented annually in partnership with some of the nation's leading scientific institutions, government organisations, universities and corporations, the Eureka Prizes raise the profile of science and science engagement in the community by celebrating outstanding achievement. Amy serves…

    Australian Museum's Eureka Prizes is the country's most comprehensive national science awards, honouring excellence across the areas of research & innovation, leadership, science engagement, and school science. Presented annually in partnership with some of the nation's leading scientific institutions, government organisations, universities and corporations, the Eureka Prizes raise the profile of science and science engagement in the community by celebrating outstanding achievement. Amy serves as a Judge for the University of Technology Sydney Eureka Prize for Excellence in Data Science.

  • Swinburne Data Science Research Institute

    Chair of the Industary Advisory Board

    -

  • Charactered Institute of Marketing

    -

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