Invited talks
Prof. Usama Fayyad
Northeastern University, USA
Bio
Usama Fayyad is the inaugural executive director of the Institute for Experiential AI at Northeastern University and professor of the practice at Khoury College of Computer Sciences. He is Chairman of Open Insights, a technology and consulting firm he founded in 2008 after leaving Yahoo! to help enterprises deploy Data-driven solutions to grow revenue from AI and Data assets.
Bio
Usama Fayyad is the inaugural executive director of the Institute for Experiential AI at Northeastern University and professor of the practice at Khoury College of Computer Sciences. He is Chairman of Open Insights, a technology and consulting firm he founded in 2008 after leaving Yahoo! to help enterprises deploy Data-driven solutions to grow revenue from AI and Data assets. Usama became the first person to hold the Chief Data Officer title after Yahoo! acquired his second startup, as RVP he also founded Yahoo Research Labs.
Fayyad’s previous roles include Global Chief Data Officer at Barclays Bank and Founding Executive Chairman at Oasis500. He served as co-founder & CTO of OODA Health, held leadership roles at Microsoft and founded the Machine Learning Systems group at NASA’s Jet Propulsion Laboratory, where his work on machine learning resulted in the top Excellence in Research award from Caltech and a U.S. Government medal from NASA.
Fayyad earned his Ph.D. in engineering in AI/Machine Learning from the University of Michigan, Ann Arbor and holds two Bachelor of Science in Engineering degrees in Engineering, MSE Computer Engineering and M.Sc. in Mathematics. Fayyad has published over 100 technical articles on data mining, data science, AI/ML, and databases. He holds over 20 patents and is a Fellow of both the Association for the Advancement of Artificial Intelligence (AAAI) and the Association for Computing Machinery (ACM). He has edited two influential books on data mining/data science and served as Founding Editor-in-Chief on two key journals.
Dr Liming Zhu
Data61, Australia
Bio
Dr Liming Zhu is a Research Director at CSIRO’s Data61, the AI/digital arm of Australia’s national science agency, and a conjoint professor at UNSW. He contributes to the OECD.AI’s AI Risks and Accountability, the Responsible AI at Scale think tank at Australia’s National AI Centre, ISO AI standards committees, and Australia’s AI safety standard.
Bio
Dr Liming Zhu is a Research Director at CSIRO’s Data61, the AI/digital arm of Australia’s national science agency, and a conjoint professor at UNSW. He contributes to the OECD.AI’s AI Risks and Accountability, the Responsible AI at Scale think tank at Australia’s National AI Centre, ISO AI standards committees, and Australia’s AI safety standard. His research division innovates in AI engineering, responsible/safe AI, blockchain, quantum software, privacy, and cybersecurity, and hosted Australia’s Consumer Data Right/Open Banking standards setting. Dr Zhu has authored over 300 papers and is a regular keynote speaker. He delivered the keynote “Software Engineering as the Linchpin of Responsible AI” at the International Conference on Software Engineering. His latest book, “Responsible AI: Best Practices for Creating Trustworthy AI Systems,” and his forthcoming book, “Engineering AI Systems: DevOps and Architecture Approaches,” reflect his vision for the rigorous engineering of responsible and safe AI systems for society.
Distinguished AI Scientist Luiz Pizzato
Commonwealth Bank Australia, Australia
Bio
Luiz Pizzato is a Distinguished AI Scientist at Commonwealth Bank of Australia, focusing on building AI innovations for a brighter future. He holds a PhD in Natural Language Processing (NLP) and have developed the first reciprocal and multiple stakeholder recommender systems. With over 20 years of experience in building AI systems,
Bio
Luiz Pizzato is a Distinguished AI Scientist at Commonwealth Bank of Australia, focusing on building AI innovations for a brighter future. He holds a PhD in Natural Language Processing (NLP) and have developed the first reciprocal and multiple stakeholder recommender systems. With over 20 years of experience in building AI systems, Luiz has previously worked in academia, start-ups, and global consulting firms, leading research and innovation labs and data science teams.
Prof. Simon See
Senior Director, Chief Solution Architect and Global Head, NVIDIA AI Technology Center, NVIDIA Corporation
Professor, Shanghai Jiao Tong University
Professor (Adjunct) KMUTT, NTU (Singapore) and Universitas Indonesia (UI)
Bio
Professor Simon See is currently the Solution Architecture and Engineering Director, Chief Solution Architect and Global Head for NVIDIA AI Technology Center, NVIDIA Corporation. He is also an Adjunct Professor at Shanghai Jiao Tong University, Conventry University, and Universitas Indonesia (UI) and Newcastle University in Singapore. He is also a distinguished fellow in Fudan University.
Bio
Professor Simon See is currently the Solution Architecture and Engineering Director, Chief Solution Architect and Global Head for NVIDIA AI Technology Center, NVIDIA Corporation. He is also an Adjunct Professor at Shanghai Jiao Tong University, Conventry University, and Universitas Indonesia (UI) and Newcastle University in Singapore. He is also a distinguished fellow in Fudan University. Previously Professor See is also the Chief Scientific Computing Advisor for BGI (China) and has a position in Nanyang Technological University (Singapore) and King-Mong Kung University of Technology (Thailand). Professor See is currently involved in a number of International computational, mathematical science projects and national AI initiatives. Recently Professor Simon has been appointed as the Executive Director of the ASEAN Applied Research Centre (AARC). His research interests are in the area of High-Performance Computing, Big Data, Artificial Intelligence, Machine Learning, Computational Science, Applied Mathematics and Simulation Methodology. Professor See is also leading some of the AI initiatives in Asia Pacific. He is a Steering Committee member of NSCC’s flagship High Performance Computing Conference Supercomputing Asia (SCA) since March 2018. He has published over 200 papers in these areas and has won various awards in the field.
Professor See is a Fellow member of IET, Chairman of TaskForce of IEEE’s CIS Neural Networks Technical Committee, a member of SIAM, IET, AAAI, SCS, and also on the Advisory Team of AIP (AI Professional Association), International Advisory Board of Institute of Operations Research & Analytics (IORA), Advisory Team of Machine Intelligence and Data Analytics Research Centre (MIDARC), School of Computing Sciences (India) and Board of Studies, MS Tech Programs of Mahindra University, Editorial Board Member of Journal of Computational and Cognitive Engineering (JCCE), The Industry Advisory Committee for Bachelor of Science in Computer Science in Real-time Interactive Simulation and Interactive Media and Game Design at Singapore Institute of Technology (SIT) and the committee member of more than 50 conferences.
Professor See graduated from the University of Salford (UK) with a Ph.D. in electrical engineering and numerical analysis in 1993. Prior to joining NVIDIA, Professor See worked for SGI, DSO National Lab. of Singapore, IBM, International Simulation Ltd (UK), Sun Microsystems and Oracle. He is also providing consultancy to a number of national research and supercomputing centers.