Deep Learning Summit Deep Learning Summit schedule

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.

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

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.

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.

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.

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.

• 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.

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.

“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.”

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.

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.

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.

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

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.

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