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Keynote Speakers

(in alphabetic order)



Felicity Gerry QC 
Carmelite Chambers, London and Crockett Chambers, Melbourne 
Deakin University School of Business and Law
Schools of Law Charles Darwin University and Western Sydney University

Talk Title:  Emerging and Future Technology Trends in the Links between Cybercrime, Trafficking in Persons and Smuggling of Migrants

Abstract: An analysis of the links between human trafficking, smuggling of migrants and cybercrime, we suggest, exposes the overlap between legal principle and technological methodology This talk focuses on the role of emerging technological trends can have in the paradigm that may involve the protection of those who commit crime. We suggest that these issues should be considered at the development stage of technology and the proposal stage of an investigation, particularly where data is both harnessed and collected to tackle organised crime. The tension that trafficking and smuggling creates in the context of cybercrime is a challenge to rules-based order and rights-based policy because it requires a focus on protection rather than prosecution of those hitherto considered to be perpetrators. This in turn requires a greater interaction between the disciplines of law and technology. 

Bio: Professor Felicity Gerry QC is an international QC at Carmelite Chambers, London and Crockett Chambers, Melbourne, largely defending in serious and complex trials and appeals at every level of court, often with an international element, including terrorism, biosecurity and international logging. Admitted in England & Wales and Australia, she has also had ad hoc admission in Hong Kong and Gibraltar. She was Legal Personality of the Year 2016 and has been recognised in the Legal 500 as a leading silk and as “Fearless and independent minded”. She led a team of academics and practitioners who were given leave to file an Amicus Curiae Brief in the ICTY Radovan Karadžić Appeal and led the appeal in R v Jogee in the UK Supreme Court which was described by the BBC as a ‘moment of genuine legal history’. 

She is Professor of Legal Practice at Deakin University where she lectures in Criminal Law and ‘Modern Slavery’ and she is currently a PhD candidate researching the use of technology to combat human trafficking. Her publications focus on the fields of women & law, technology & law and reforming justice systems. Felicity is widely published including contributing to Modern Slavery and Human Trafficking Law and Practice 2018, Annotated Leading Cases of International Criminal Tribunals and the ICC Moot Court Manual for the International Bar Association. 

She has appeared in the BAFTA nominated FGM documentary The Cruel Cut, ABC Foreign Correspondent's documentary Saving Mary Jane , various documentaries and on all major news channels as well as writing regularly for the broadsheet and legal press. She is regularly called upon to speak at conferences and other events. Past presentations include a Keynote Address for the IBA Corporate litigation section: Towards Global Corporate Criminal Liability. She mentors young lawyers in a Trial Counsel Development Program.

Nick Hawes

University of Oxford, UK

Talk Title:  Long-Term Autonomy in Everyday Environments: A Challenge for AI
and Robotics

Abstract: The performance of autonomous robots, i.e. robots that can make their own decisions and choose their own actions, is becoming increasingly impressive, but most of them are still constrained to labs, or controlled environments. In addition to this, these robots are typically only able to do intelligent things for a short period of time, before either crashing (physically or digitally) or running out of things to do. In order to go beyond these limitations, and to deliver the kind of autonomous service robots required by society, we must conquer the challenge of combining artificial intelligence and robotics to develop systems capable of long-term autonomy in everyday environments. This talk will present recent progress in this direction, focussing on the mobile robots for security and care domains developed by the EU-funded STRANDS project ( which completed over a year of autonomy in real service environments.

Bio: Nick Hawes is an Associate Professor of Engineering Science in the Oxford Robotics Institute at the University of Oxford, and a Tutorial Fellow at Pembroke College. His research is focussed on applying techniques from artificial intelligence to allow robots to perform useful tasks in everyday environments, with a particular interest in long-term autonomy, mobile service robots, and logistics. He researches how robots can understand the world around them (e.g. where objects usually appear, how people move through buildings etc.), and how they can exploit this knowledge to perform tasks more efficiently and intelligently.

Kyle Nakamoto

Maritz Motivation, USA

Talk Title:  Bridging Hype and Delivery: A Path to Delivering on the Promise of AI

Abstract: Artificial Intelligence has started to be integrated into every aspect of life, which has fueled a drive in large organizations to fully utilize AI. While this drive is great for initial momentum, deploying complex AI into legacy systems is not a quick and smooth process. Initial buy-in from leadership needs to be supported by short-term deliverables. Management of expectations and roles of IT, business, and external consultants needs to be considered. The balance between complex models needs to be balanced against the functional needs of the business users. All these factors cannot be decoupled from model selection, as each aspects feeds into the goals of the results. Marrying high expectations with the results of amazing models is not a straightforward process, this requires altering expectations to potential results and redefining models that can provide the greatest business value.
In this talk I will discuss some of the challenges in scoping, implementation and interpretation of AI systems that I have been involved in. I want to focus on two topics; first automated model selection for complex business problems that no one model can solve. Second, I will focus on the factors necessary for continual business engagement in deploying AI systems. This includes bringing leadership, IT, data scientists and end-users along the journey. I have seen a strong desire for this understanding both in profit, government, and non-profit organization.

Bio:  Dr. Kyle T. Nakamoto is a Lead Data Scientist at Maritz Motivation, a behavioral insights company with 400 million program participants and counts ~50% of the Fortune 100 organizations as clients. His team supports the strategic development of rewards/retention programs and integrates advanced analytics into their design. Previously he was a senior data scientist at Ford Motor Company and his responsibilities included developing advanced analytics to support global order to delivery, enterprise risk, manufacturing and product development. Dr. Nakamoto is also part of the U.S. Japan Council, and was part of the 2019 Japanese American Leadership Delegation to Japan. Dr. Nakamoto co-founded Nichibei AI Services L3C, a social enterprise to support integration of AI into Japanese government, non-profit, and corporations in order to enhance US-Japan collaboration. Previously, Dr. Nakamoto founded a neuroscience lab at Northeast Ohio Medical University, where he was supported by grants from the National Institute of Health. He was also a fellow at the Medical Research Council Institute of Hearing Research in the United Kingdom. He holds a Ph.D. from the Department of Cognitive Sciences from the University of California at Irvine.

Ram D. Sriram

Chief of Software and Systems Division, National Institute of Standards and Technology


Talk Title: Explorations in Artificial Intelligence: A Personal Journey


Abstract: My first exposure to Artificial Intelligence (AI) was in the summer of 1981, when Carnegie Mellon University was tasked with the development of a knowledge-based expert system (KBES) to aid in the trouble shooting of the Atlanta People Mover. I was a student member of this team and went on to do my dissertation on AI in Design. Later, I joined MIT as an assistant professor (in 1986) and with my students built one of the most comprehensive computational frameworks for Internet-based collaborative design – called DICE. The DICE framework introduced several novel concepts in AI, including an active object-oriented blackboard, constraint satisfaction using asynchronous teams, merging qualitative geometry with traditional modeling, knowledge representation schemes for product and process models, and design rationale. In 1994, I moved to NIST and continued work on knowledge representation for entire product life cycle until 2010, when I took over as the chief of Software and Systems Division. Here, I have provided technical leadership for several AI projects, which include extending deep learning techniques in biomedical image processing, extracting protein-protein interaction sentences from documents, developing a novel natural language term extraction system based on Sanskrit, and applying Category Theory for AI knowledge representation. In this talk, I will describe my journey over nearly four decades with a particular focus on my recent work at NIST on knowledge representation, machine learning, and natural language processing.


Bio: Ram D. Sriram is currently the chief of the Software and Systems Division, Information Technology Laboratory, at the National Institute of Standards and Technology. Before joining the Software and Systems Division, Sriram was the leader of the Design and Process group in the Manufacturing Systems Integration Division, Manufacturing Engineering Laboratory, where he conducted research on standards for interoperability of computer-aided design systems. Prior to joining NIST, he was on the engineering faculty (1986-1994) at the Massachusetts Institute of Technology (MIT) and was instrumental in setting up the Intelligent Engineering Systems Laboratory. Sriram has co-authored or authored more than 250 publications, including several books. Sriram was a founding co-editor of the International Journal for AI in Engineering. Sriram received several awards including: an NSF’s Presidential Young Investigator Award (1989); ASME Design Automation Award (2011); ASME CIE Distinguished Service Award (2014), and the Washington Academy of Sciences’ Distinguished Career in Engineering Sciences Award (2015). Sriram is a Fellow of ASME, AAAS, IEEE and Washington Academy of Sciences, a member (life) of ACM, a and a member (life) of AAAI. Sriram has a B.Tech. from IIT, Madras, India, and an M.S. and a Ph.D. from Carnegie Mellon University, Pittsburgh, USA.

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