17 - 18 October 2022

Deep Learning Summit Deep Learning Summit schedule

Sydney Deep Learning and Enterprise AI Summits



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  • 08:00

    Register, grab a coffee and network with peers old and new!

  • 09:00

    Welcome Address and Opening Remarks

  • Powering Australian Innovation and Reinvigorating the AI Ecosystem

  • 09:10
    Stela Solar

    The Australian AI Opportunity

    Stela Solar - Director - CSIRO Data 61 National AI Centre

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    The Australian AI Opportunity

    • Understanding the AI landscape and NAIC’s plans for the future
    • Identifying and Capitalising on the Australian Advantage
    • The path to AI maturity

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    Stela Solar is passionate about removing barriers to positive technology adoption and engagement. Over the past 15 years, Stela has cultivated expertise in capturing new revenue opportunities presented by emerging technologies, particularly through business model transformation. With most recent experience as Global Director of AI Solutions Sales and Strategy at Microsoft, Stela's experiences across business development, strategy, ecosystem development, marketing and product management inform her insights surrounding cross-organisational factors affecting an organisation’s ability to capture an advantage.

    Stela is returning to Australia after seven years in the US to lead the National AI Centre.

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  • 09:30

    Thought Leadership Session | Adopting Emerging Technologies

  • 09:50

    International Address | Setting the Pace of Global Innovation

  • 10:10

    CxO Panel Discussion | Getting Business Data Ready for the Opportunities of AI

  • Dr Maria Milosavljevic

    Panelist

    Dr Maria Milosavljevic - Chief Data Integration Officer - Department of Defence

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    Dr Maria Milosavljevic is the inaugural Chief Data Integration Officer at the Department of Defence. In this role, she is responsible for establishing a new Data Division and working across the Department to deliver the Defence Data Strategy. Dr Milosavljevic joined Defence from Services Australia where she spent 3 years, first as the inaugural Chief Data Officer (CDO) where she was similarly responsible for establishing a new Data and Analytics Division, and defining and championing the agency’s data and analytics strategy.

    Dr Milosavljevic also chaired the whole of government Data Champions Executive and Network at the Department of Prime Minister and Cabinet, where she championed the innovative and appropriate use of data across the Commonwealth Government. Most recently, as the Chief Information Security Officer (CISO) at Services Australia, she was responsible for building improved cyber security practices and capabilities, and providing consistent and reliable services across the agency as well as to many partner agencies, under the whole of government platform and services agenda.

    Dr Milosavljevic is also an Honorary Professor of Artificial Intelligence at the Australian National University (ANU). Dr Milosavljevic was also previously the Chief Information Officer at the Australian Crime Commission. She completed a PhD in Artificial Intelligence with the Microsoft Research Institute, graduated from ANU with an Executive Master of Public Administration from ANZSOG, and is a graduate of the AICD.

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  • Ashwin Sridhar

    Panelist

    Ashwin Sridhar - Chief Data & Technology Officer - CHOICE

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    Ashwin leads the data and technology practice at CHOICE. His team is responsible for making sure our digital and data capabilities continue to advance to meet the evolving expectations of our members.

    Ashwin joined CHOICE in 2021. He has more than 20 years' international experience in senior leadership roles within global media organisations. He has managed and delivered complex transformational projects that have both reshaped these organisations for a sustainable future and also reinvigorated them by fostering cultures of innovation and data-driven decisioning.

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  • Arnie Bhattacharya

    Panelist

    Arnie Bhattacharya - Chief Data & Analytics Officer - Infomedia

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  • 10:50

    Networking Break

  • Deep Learning Use Cases and the Metaverse

  • 11:20
    Dr Fang Chen

    Presentation | Why Deep Learning?

    Dr Fang Chen - Distinguished Professor - University of Technology Sydney (UTS)

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    Presentation | Why Deep Learning?

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    Distinguished Professor Fang Chen is an award-winning, internationally-recognised leader in artificial intelligence (AI) and data science. She is passionately innovative in her work, architecting and implementing data-driven solutions to problems met in industry and governments. Her experience in solving these complex real-life problems in large-scale networks span transport, water, energy, health, agriculture and many more sectors. She is also actively promoting ethical, human-centred AI.

    Fang won the "Oscar" of Australian science – the Australian Museum Eureka Prize 2018 for Excellence in Data Science. She is the "Water Professional of the Year", awarded by the Australian Water Association in 2016. In 2021, she won the Australia and New Zealand "Women in AI" Award in Infrastructure and the NSW Premier's Prize of Science and Engineering.

    Fang leads multidisciplinary teams of experts, together with whom she has won major scientific and industry awards on the national level. These include the Intelligent Transport Systems Australia National Award 2014, 2015 and 2018, the NSW iAwards 2017, the VIC iAwards 2019 and 2020, and the National Award and NSW "Research and Innovation Award" 2018 and 2022 from the Australian Water Association.

    She has built up a career in creating innovations, developing digital transformation strategies, and executing them with leadership and passion. With vast experience in many segments of industry, governments, and academic environments, allows her to formulate strategies for innovation, development, products and business growth.

    Distinguished Professor Chen also has extensive global experience with more than 100 different entities across North America, Europe and many parts of Asia, under extremely varied circumstances from early-stage R&D, to product development and deployment. She has done exceptional work to bridge customer requirements and innovative technological solutions, creating value in business with innovations.

    Professor Chen has created much ground-breaking research evidenced by 300+ refereed publications in science and engineering, including several books. In addition, she has filed 30+ patents in Australia, US, Canada, Europe, Japan, Korea, Mexico and China.

    Fang is a member of the inaugural NSW Government AI Advisory Committee. She also serves on the expert panel of the Singapore National Science Foundation, and on several boards, including ITS Australia. Currently, Fang is the Executive Director of Data Science at the University of Technology Sydney (UTS) and the Executive Director of the UTS Data Science Institute.

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  • 11:40

    Partner Presentation | Providing the Cloud to Power New Applications

  • 12:00
    Rita Arrigo

    Presentation | Deep Learning in Computer Vision, and how it can create a range of societal benefits.

    Rita Arrigo - Deputy Director: Centre for Industrial AI Research & Innovation - RMIT

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    Presentation | Deep Learning in Computer Vision, and how it can create a range of societal benefits. This talk will share key details on examples on how deep learning in computer vision is providing many benefits to society, including more inclusive cities, reduction of waste, increase efficiencies in customer service and human labour, health in cancer detection and agriculture.

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    A digital strategist able to communicate complex technical ideas across the “IT divide” to non-geek stakeholders, now as Deputy Director of RMIT’s CIAIRI, and Digital Lead at Frazer-Nash she is focused on industry engagement, building capability in emerging technology like Autonomous Systems, Machine Learning (ML), Digital Twins, Computer Vision and Mixed Reality (MR). Previously at Microsoft as Chief Digital Advisor working to enable emerging technologies including Artificial Intelligence (AI), ML, MR & Digital Twin to sectors including transport, education, Smart Cities, Health, sustainable development and environmental stewardship. Rita has a Bachelor of Industrial Engineering and Computing from Monash University as well as Artificial Intelligence (Microsoft INSEAD AI Business School) and Design Thinking. She believes in lifelong learning, and an inclusive culture powered by data to drive new levels of human experiences.

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  • 12:20

    Panel Discussion | Unlocking the Metaverse

  • Dr Lisa Dethirdge

    Moderator

    Dr Lisa Dethirdge - Senior Research Fellow - RMIT

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  • Travis Rice

    Panelist

    Travis Rice - Senior Manager: Multimedia & Immersive Tech - University of New South Wales

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    Travis Rice leads the Multimedia and Immersive Technologies teams, a senior management role at University of New South Wales.

    Driving concept development and future directions within the University multimedia environments, he is focused on the strategic delivery and support for Immersive, Multimedia and Emerging Technologies (Multimedia, Audio and Video technologies, VR, AR, 3D Printing, Robotics etc) across UNSW.

    Travis has led deep tech development teams and cultural creative projects, spread across the USA, Australia, Canada and China - Developing encompassing and unique tech IP primarily focused on next generation video and Virtual technologies. During his work as a creative technologist, he has used artificial intelligence, machine learning and Virtual/Augmented/Immersive Reality as tools in the creation of niche digital frontier practices. Past projects have seen him creating, project leading and directing commercially viable new technologies that address key industry/ creative concerns across all areas of digital content, including Virtual and Augmented Reality, gaming, immersive media and online streaming with the intention of providing new interactive platforms that facilitates next generation media forms.

    All of his creative and technology projects have required first principles design, quickly iterating, thinking laterally and moving fast; incorporating new technologies with ideas and concepts that have never been seen before.

    I'm excited to be working in the front lines of technology at that incredible intersection of art and science.

    “good design recedes”

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  • Don Wright

    Panellist

    Don Wright - Director, Innovation & Entrepreneurship - Western Sydney University

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  • 13:40

    Lunch

  • NLP and Computer Vision

  • 14:40
    Dr Sarvnaz Karimi

    Conservation Use Case |

    Dr Sarvnaz Karimi - Researcher: Natural Language Processing - CSIRO Data 61

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    Sarvnaz Karimi is a principal research scientist at CSIRO’s Data61. She has over a decade of experience developing and applying methods in the intersection of Information Retrieval (IR), Natural Language Processing (NLP), and Machine Learning for specific domains, such as health. Dhe leads a project on Medical Decision Support within Precision Health Future Science Platform at CSIRO. Sarvnaz is very active in the research community at large, in Australia and internationally. Sarvnaz is currently Deputy Director of Publicity at the Association for Computational Linguistics (ACL), which is the main international professional body for NLP. She acted as the President of Australasian Language Technology Association (ALTA), in which she is still an executive committee member. Sarvnaz holds a PhD in Natural Language Processing in 2008 (RMIT University).

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  • 15:00
    Dr Suneeta Mall

    Presentation | Domain Infusion in Deep Learning

    Dr Suneeta Mall - Director: AI Model Systems - Nearmap

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    Presentation | Domain Infusion in Deep Learning

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    Suneeta is passionate about solving real-world problems with engineering, data, science, and machine learning. She holds a Ph.D. in applied science and has a computer science engineering background. She offers extensive distributed, scalable computing and machine learning experience from IBM Software Labs, Expedita, USyd, and Nearmap. She currently leads the development of Nearmap's AI model production system that produces high-quality AI data sets and deep learning models.

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  • 15:20
    Ben Bray

    Partner Presentation | Project Skate - Reaching new heights with AI and imagination

    Ben Bray - Managing Director - Nakatomi

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    • How Google is using Machine Learning to change Skateboarding
    • Creating relevant technology for an emerging generation
    • Uncommon thinking for imaginative solutions

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    Ben is Managing Director of Nakatomi which is a Sydney based technology innovation company formed in 2014. Ben drives business growth through applied and interactive technology; developing products and services that exist at the cutting edge of innovation. After founding Float Studios, a creative technology company with a focus on virtual reality, Ben caught the eye of Nakatomi, who acquired his company in 2017. Since joining Nakatomi Ben has led strategy and development of an array of internationally award-winning and groundbreaking work.

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  • 15:40
    Dr Vivien Rolland

    Presentation | Computer vision across scales – from algae to galaxies

    Dr Vivien Rolland - Joint Leader - Object Detection Activity - ML & AI FSP - CSIRO

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    Presentation | Computer vision across scales – from algae to galaxies

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  • 16:00

    Networking Break

  • Learning Techniques

  • 16:30
    Mithil Shah

    Presentation | Federated Learning – Collaborative but private!

    Mithil Shah - AI/ML Specialist - AWS

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    Presentation | Federated Learning – Collaborative but private! Federated learning allows training a machine learning model using multiple privately held datasets. This talk introduces the concept and then describes its practical applications in industries such as healthcare and IoT. The talk also introduces the common open-source libraries used for federated learning and a small demo to solidify the understanding.

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    Mithil Shah is an AI/ML Specialist at AWS and helps public sector companies in improving citizens’ lives using the latest technological innovations. He has worked with health agencies in transforming healthcare using Natural Language Processing, and with Universities in redesigning their research platform to use the latest cloud AI/ML offerings. In his spare time, you can find him playing cricket with his son at the community cricket nets or hiking in the Himalayas.

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  • 16:50

    Partner Presentation | Driving Real Technological Breakthroughs

  • 17:10
    Dr Shubha Bhat

    Presentation | Supervised vs Unsupervised Learning

    Dr Shubha Bhat - AI & Computer Vision Lead - Lumachain

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    Presentation | Supervised vs Unsupervised Learning - Advancements in learning techniques - Impact of learning models on industry applications

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    Dr Shubha Bhat is a Senior AI developer and AI lead at Lumachain Operations Pty Ltd with the headquarters located in Sydney. She is responsible for delivering solutions that help improve the quality, safety, efficiency, and traceability of the food. She develops systems that also focus on animal welfare and solve real-world problems in the food supply chain through AI.

    Before joining Lumachain, she was an Associate professor and a researcher at DSCE, Bangalore, India. She completed her PhD in Computer Vision and Image processing from Visvesvaraya Technological University, India in the year 2016. She was a part of the Core Research team at DSCE, and the team was awarded ER&IPR research funding from the Govt. of India, in association with Defence R&D Organization, for carrying out her research in Aerial surveillance using unmanned air vehicles with deep learning and Computer Vision. She has several papers published in renowned journals and conferences. Prior to this, she worked for Philips Research and Atos Origin, Netherlands.

    Recently, she was announced the finalist in the Women in AI Awards – Australia-New Zealand -2022 for the manufacturing sector among 160 applicants. She is also actively involved in collaborating with students from different Universities across the globe.

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  • 17:30
    Dr Tongliang Liu

    Presentation | Learning with Noisy Labels

    Dr Tongliang Liu - Senior Lecturer: Machine Learning & Director: Trustworthy Machine Learning Lab and Sydney Artificial Intelligence Centre - University of Sydney

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  • 17:50

    Chair’s Closing Remarks

  • 17:55

    Networking Drinks Reception

  • 08:00

    Register, grab a coffee and network with peers old and new!

  • 09:00
    Dr Kobi Leins

    Welcome Address and Opening Remarks

    Dr Kobi Leins - Associate Director: Data Ethics - NAB

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    Welcome Address and Opening Remarks

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    Dr Kobi Leins (GAICD) is a Senior Consultant in Data Ethics with NAB; Honorary Senior Fellow of King’s College, London; Non-Resident Fellow of the United Nations Institute for Disarmament Research; Advisory Board Member of the Carnegie AI and Equality Initiative; Member of Standards Australia as a technical expert on the International Standards Organisation’s work on AI Standards; co-founder of Responsible Innovation and the Life Sciences with IEEE; and Affiliate, ARC Centre of Excellence for Automated Decision-Making and Society.

    Leins has previously managed programs and teams in administrative law & justice, humanitarian law, human rights law, and disarmament with the UN and the International Committee of the Red Cross and worked in two different University Faculties of Engineering and Computer Science.

    Leins is the author of New War Technologies and International Law: The Legal Limits to Weaponising Nanomaterials, Cambridge University Press (2022). Further publications can be found at kobileins.com.

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  • 09:10
    Victor Dominello MP

    Ministerial Address |

    Victor Dominello MP - Minister for Customer Service and Digital Government - NSW Government

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    Victor Dominello is a senior Minister in the New South Wales Government and has held various portfolios over the last decade including Aboriginal Affairs, Innovation and Finance. In 2019 he was appointed the inaugural Minister for Customer Service and in 2021 was also appointed the inaugural Minister for Digital Government. Victor firmly believes the use of real-time data and technology are the most powerful ways to improve quality of life and reduce suffering. Victor was a member of the original Crisis Cabinet which led the NSW response to Covid-19 and now sits on the Covid-19 and Economic Recovery Committee.

    His particular focus has been on delivering digital solutions such as the Service NSW QR code check-in feature and the real-time data analysis which has informed the state’s decision making. Victor has been the driving force behind the roll out of the Digital Driver Licence, the establishment of the $2.1b Digital Restart Fund and the rapid expansion of the Service NSW app to include QR code check-ins, the voucher programs, such as Dine and Discover, Covid-19 test alert notifications and the registration of positive rapid antigen tests.

    In addition to digital, technology and customer experience, Victor is also obsessed with Batman

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  • 09:20
    Dr Ian Oppermann

    When AI Goes Public: The Role of AI in Government

    Dr Ian Oppermann - Chief Data Scientist - NSW Department of Customer Service

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    When AI Goes Public: The Role of AI in Government - How is New South Wales harnessing the benefits of new technologies - Ensuring AI projects meet the goals of AI for good - From data sharing networks to smart places: the blueprints for the future

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    Dr. Ian Oppermann is the NSW Government’s Chief Data Scientist working within the Department of Customer Service, and Industry Professor at University of Technology Sydney (UTS). Ian has 27 years’ experience in the ICT sector and has led organizations with more than 300 people, delivering products and outcomes that have impacted hundreds of millions of people globally. He has held senior management roles in Europe and Australia as Director for Radio Access Performance at Nokia, Global Head of Sales Partnering (network software) at Nokia Siemens Networks, and then Divisional Chief and Flagship Director at CSIRO.

    Ian is considered a thought leader in the area of the Digital Economy and is a regular speaker on “Big Data”, broadband enabled services and the impact of technology on society. He has contributed to 6 books and co-authored more than 120 papers which have been cited more than 3500 times. Ian has an MBA from the University of London and a Doctor of Philosophy in Mobile Telecommunications from Sydney University. Ian is a Fellow of the Institute of Engineers Australia, a Fellow of the IEEE, a Fellow of the Australian Academy of Technological Sciences and Engineering, a Fellow of the Royal Society of NSW, a Fellow and Immediate Past President of the Australian Computer Society, and a graduate member of the Australian Institute of Company Directors. Ian is also president of the Australia National Committee of the IEC and president of the JTC1 strategic advisory committee in Australia.

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  • 09:40

    Ethical AI Showcase

  • 09:40

    Partner Presentation | Frameworks for Responsible AI Design and Deployment

  • 10:00
    Dr Allan McCay

    Ethics Quickfire: Algorithmic Manipulation

    Dr Allan McCay - Deputy Director - Sydney Institute of Criminology

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    Ethics Quickfire: Algorithmic Manipulation

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    Dr Allan McCay is Deputy Director of The Sydney Institute of Criminology, and Academic Fellow at the University of Sydney Law School. He is also an Affiliate Member of the Centre for Agency, Values and Ethics at Macquarie University.

    His philosophical interests relate to free will and punishment, and ethical issues emerging from neuroscience, neurotechnology, and artificial intelligence. In relation to legal practice, he is interested in behavioural legal ethics, and the future of legal work in light of automation. Although formerly a commercial litigator with Baker McKenzie in Hong Kong, a large section of his work focusses on the criminal law and he coordinates the Legal Research units at the Sydney Law School. As well as two edited books and numerous academic and other publications, he is the author of a forthcoming report on neurotechnology, law and the legal profession that will be published by the Law Society of England and Wales.

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  • 10:15
    Dr Didar Zowghi

    Ethics Quickfire: Diversity and Inclusion in AI Ethics Frameworks

    Dr Didar Zowghi - Senior Principal Research Scientist - CSIRO

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    Ethics Quickfire: Diversity and Inclusion in AI Ethics Frameworks

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    Dr Didar Zowghi is Professor of Software Engineering and as Senior Principal Research Scientist at CSIRO's Data61 she leads research in "Software Engineering for AI" and "Diversity and Inclusion in AI". She joined Data61 in January 2022 after working in Academia for 20+ years. She has previously held many leadership positions at the University of Technology Sydney (UTS): Deputy Dean of Graduate Research School , Director of university research centre for Human-Centred Technology Design, Director of Women in Engineering and Information Technology, Head of Department of Software Engineering, and Associate Dean Research. Before joining academia, she worked in software industry in the UK and Australia as a programmer, software engineer, analyst, consultant, and project manager.

    Her research is focused on improving the software development processes and products. In particular, she has worked on addressing many issues in the communication rich, multidisciplinary activities of software development, referred to as Requirements Engineering (RE). She is an expert in the "Evidenced Based" and “Human Centred Design” research paradigms. She has supervised many research students to successful completion of PhD and MSc across universities in Sydney and internationally. Much of her research has been funded by the Australian Research Council (ARC) and other Australian government grants.

    Prof Zowghi serves on the program committee of many national and international conferences including IEEE International Conference on Requirements Engineering (since 1998). She was its General Chair in 2010, Program Chair in 2015 and Steering Committee Chair (2016-2018) and received Lifetime Service Award in 2019 by IEEE for her leadership in RE research community. She is Associate Editor of IEEE Software, Associate editor of Requirements Engineering Journal, and IET Software journal. She has published over 200 research articles in prestigious conferences and journals and has co-authored papers with 90+ different researchers from 30+ countries.

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  • 10:30
    Dr Mahendra Samarawickrama

    Ethics Quickfire: AI for Sustainability and Sustainability of AI

    Dr Mahendra Samarawickrama - Director - The Centre for Sustainable AI

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    Ethics Quickfire: AI for Sustainability and Sustainability of AI - ESG frameworks for AI - Ethical use cases and ethical design - Supporting the SDG goals - Building the frameworks for use

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    Dr Mahendra Samarawickrama (GAICD, MBA, SMIEEE, ACS(CP)) is a senior leader in the AI and data science sector with rich experience across a wide range of people, cultures, technologies and governance. He is extremely passionate about empowering people, innovations, and creativity to enhance the businesses and customer experience. His experience spans across conceptualising, building and managing a variety of AI and data science teams, systems and processes. In the Australian Red Cross, he leads the AI and data-science strategy while building capabilities for social justice and sustainability with diversity, equity and inclusion in AI and data science by mobilising the power of humanity.

    He is an author, inventor, mentor and regular speaker in various tech forums, conferences and events worldwide. He holds a PhD in computer science with double masters in business administration (MBA) and project management (MPM). He is skilled in machine learning, deep learning, statistics, big-data analytics and high-performance computing. He is a graduate of the AICD (GAICD), an ACS certified professional (CP), a senior member of IEEE (SMIEEE), an honorary visiting scholar at the University of Technology Sydney (UTS) and an industry mentor in the UNSW business school. He also performs an advisory role in the Global AI Ethics Institute (GAIEI), International Group of Artificial Intelligence (IGOAI) and Digital for Social Good (D4SG) Hackathon.

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  • 10:45
    Vi Nguyen

    Ethics Quickfire: Integrating Cultural Considerations into AI Development

    Vi Nguyen - Member - ACS AI Ethics Committee

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    • How to integrate a diverse perspective throughout the development lifecycle
    • How to identify and manage cultural challenges
    • What are some common cultural considerations and gaps to be aware of?

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    Vi Nguyen is a project leader at Boston Consulting Group, specialising in AI and digital transformation. She is an honorary member of the Australian Computing Society on the AI & Ethics Committee and a Standards Australia IoT committee member.

    Vi previously worked at Macquarie Bank pioneering new social media, mobile and digital technology across retail banking, started a charity providing education in Vietnam, started a sales-as-service-platform business in Sydney, worked at Volvo Cars, Swedish Space Association, WirelessCars and Grundfos in Sweden on developing FutureLabs, establishing global client service teams and developing new digital business models and has worked with Department of Defence and the Victorian Government.

    She was an ambassador for Sweden for a high tech talent Nordic program, speaker at the West Sweden Chamber of Commerce and the Digital Transformation Agency Australia, inspirational speaker at Chalmers University and taught UX Strategy and AI in Sweden and Australia. She completed a Bachelor of Information Technology majoring in Financial Management, a graduate of the AICD and after returning to Australia is passionate about continuing to designing strategies that integrate new technology with compassion.

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  • 11:00

    Networking Break

  • 11:30

    AI for Good & Explainability

  • 11:30
    Dr Nabin Sharma

    AI for Good | Applying Computer Vision and AI Technologies for Society

    Dr Nabin Sharma - Associate Professor - University of Technology Sydney (UTS)

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    AI for Good | Applying Computer Vision and AI Technologies for Society

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    Dr. Nabin Sharma is an Associate Professor in the School of Computer Science, Co-Director of Intelligent Drone Lab, Faculty of Engineering and IT at UTS. He graduated with a PhD from the School of ICT, Griffith University, Queensland, Australia. His research area focuses on video and image processing, pattern recognition, and machine learning techniques for object detection and recognition. He has more than 16 years of experience in research & development and academia. He has substantial industry experience in software design and development while working on various projects at IBM India Private Ltd.

    He have published over 52 papers in referred books, conferences and journals. His Google Scholar profile reports 1709 citations with i10-index of 27 and h-index of 21. He secured research grants for projects with funds exceeding AUD$1.6M+, in collaboration with industry and academia. He received the runner-up award in ‘The Young IT Professional Award Competition 2006’ organized by the Computer Society of India (CSI), East Zone, and was also nominated for the prestigious ‘Young Scientist Award 2006’, of The Indian Science Congress Association. He received the ‘Spirit of GovHack 2015’ award at GovHack 2015, Griffith University Gold Coast Campus. Winner of iAward NSW 2018 in the following three major categories for the SharkSpotter project,

    1. Research and Development Project of the Year,

    2. Artificial Intelligence or Machine Learning Innovation of the Year, and

    3. Community Service Markets

    The Australian Information Industry Association (AIIA) NSW iAwards is the nation’s leading awards program for innovation in the digital economy.

    Winner of National iAwards 2018 for the SharkSpotter project in the Artificial Intelligence or Machine Learning Innovation of the Year category.

    Received Merit Award at Asia Pacific ICT Alliance Awards (APICTA) 2018 for the SharkSpotter project in the Artificial Intelligence Technology of the Year category.

    Australian Association for Unmanned Systems (AAUS) industry awards 2020, innovation champion, for the ultra-low latency live streaming from UAVs and SpotterAI© suite, along with the Ripper Group Pty.

    Winner of the 2020 Queensland State iAward for BotVision project, in the start-up of the year category, along with Codebots.

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  • 11:50

    Delivering the Tools That Support DL Innovations

  • 12:10

    Panel Discussion | Explaining Neural Network Decisions

  • Joy Kim

    Moderator

    Joy Kim - Lawyer - Gilbert + Tobin

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    “Joy is a lawyer in Gilbert + Tobin’s Technology + Digital group. Joy has varied experience supporting clients on strategic contracting, including outsourcings and procurement transactions. Joy also advises clients on their regulatory obligations and new developments involved with new technology offerings and emerging technologies, particularly in the areas of privacy, data protection, and data portability. Joy also has interdisciplinary experience providing legal transformation services including implementing automation processes and leading client workshops on how legal teams can utilise data to address enterprise resourcing constraints.”

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  • 12:50
    Dr Tim Miller

    Panelist

    Dr Tim Miller - Professor Computer Science - Melbourne University

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    Tim is a professor of computer science in the School of Computing and Information Systems at The University of Melbourne, and Co-Director for the Centre of AI and Digital Ethics. His primary area of expertise is in artificial intelligence, with particular emphasis on human-AI interaction and collaboration and Explainable Artificial Intelligence (XAI). His work is at the intersection of artificial intelligence, interaction design, and cognitive science/psychology. He is an associate editor of the journal Artificial Intelligence.

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  • 12:50
    Dr Rosalind Wang

    Panelist

    Dr Rosalind Wang - Senior Lecturer: Data Science - Western Sydney University

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    Dr Rosalind Wang is a senior lecturer in Data Science at Western Sydney University, Australia. Since completing her PhD in 2008, Dr Wang has worked as a machine learning and data mining researcher at CSIRO, Australia. At CSIRO, Dr Wang applied her skills in machine learning to a diverse field of projects ranging from energy management, anomaly detection in sensor networks, medical diagnostics and astronomy.

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  • Dr Ying Wang

    Panelist

    Dr Ying Wang - Core Research Fellow - Centre for Health Informatics, Australia Institute of Health Innovation

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    Dr Ying Wang is a core research fellow at Centre for Health Informatics, Australia Institute of Health Innovation. She obtained her PhD in pattern recognition and artificial intelligence. Ying is passionate about developing and explaining advanced machine learning and deep learning algorithms to support decision making at clinical and diagnostic levels in health care.

    She currently leads a project to identify clinical safety events by type and risk levels and offer interpretations of AI decisions to patient safety experts. Meanwhile, she is responsible for the development of a platform to monitor safety problems with medical AI devices. With over a decade of experience in machine learning and health data, her interests also grow with the need of AI safety in clinical practice, with particular emphasis on evaluating model transportability in real world and explainable AI in health.

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  • 12:50

    Lunch

  • Deep Learning Applications

  • 13:50
    Dr Beena Ahmed

    NLP Techniques to Transform Diagnosis and Speech Care

    Dr Beena Ahmed - Senior Lecturer: Signal Processing - UNSW

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    NLP Techniques to Transform Diagnosis and Speech Care

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    Dr. Beena Ahmed is a Senior Lecturer in Signal Processing with the School of Electrical Engineering and Telecommunications. She received her B.Sc. Engineering in Electrical Engineering from the University of Engineering and Technology, Lahore, Pakistan in 1993 and her Ph.D. from UNSW in 2004. She joined UNSW in 2017. Prior to that she was an Assistant Professor at Texas A&M University at Qatar.

    Dr. Ahmed has been awarded international research grants for projects on long-term insomnia monitoring and remote speech therapy. She also received funding to use wearable physiological sensors to identify physiological correlates of mental stress and then adopt these correlates to develop biofeedback mobile games to teach users relaxation skills. Her current research interests are on applying machine learning and remote monitoring in healthcare and therapeutic applications. Specifically she is looking into algorithms to

    track cognitive ability in the elderly using paralinguistic features

    recognize speech production errors in patients undergoing speech therapy and second language speakers

    adapt automatic speech recognition for use by people with speech impairments

    identify the risk of adverse events in patients with diabetes and cardiovascular disorders to facilitate just-in-time intervention

    detect malignant oral cancer tumors in fluorescence endoscopic images

    track mental stress levels in the long term to better facilitate biofeedback treatment options

    detect sleep disorders using minimally invasive sensors

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  • 14:10

    Partner Presentation | Implementing Learning Techniques on Deep Learning Models

  • 14:30
    Dr Shameek Ghosh

    Presentation | Deep Learning on Large-Scale Knowledge Graphs and Enterprise Applications

    Dr Shameek Ghosh - Co-founder & CTO - Medius Health AI

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    Presentation | Deep Learning on Large-Scale Knowledge Graphs and Enterprise Applications

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    Shameek Ghosh is the Co-Founder and CTO of Medius Health. He obtained his PhD in Machine Learning at the University of Technology Sydney (UTS), where he developed novel sequential mining algorithms to extract interesting patterns from large scale electronic healthcare records to predict acute hypotension and septic shock events. Previously, his research had collaborations with MIT USA, NUS Singapore, and the NSW government, culminating into more than 30+ premier research publications and 2+ patents in machine learning. He has been a recipient of multiple research awards from organisations like the American Medical Informatics Association (AMIA), UTS etc. As CTO in Medius Health, Shameek is responsible for advancing the platform capability in artificial intelligence and leads the transformation, delivery, and deployment of pre-built AI models and data science solutions within its enterprise clients.

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  • 14:50
    Dr Fatemeh Vafaee

    Big Data and Artificial Intelligence: Driving Personalized Medicine of the Future

    Dr Fatemeh Vafaee - Deputy Director - UNSW Data Science Hub

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    Big Data and Artificial Intelligence: Driving Personalized Medicine of the Future

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  • 15:10
    Dr Nigel Greenwood

    Delivering Genuine Machine Intelligence to Medicine

    Dr Nigel Greenwood - Founder & CEO - MachineGenes Group

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  • 15:30
    Xerxes Battiwalla

    Generative Adversarial Networks |

    Xerxes Battiwalla - Director (R&D) Software and Artificial Intelligence - Bionic Vision Technologies

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  • 15:50

    Chair's Closing Remarks

Sydney Deep Learning and Enterprise AI Summits

Sydney Deep Learning and Enterprise AI Summits

17 - 18 October 2022

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