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Dr. Truby is Director of the Centre for Law & Development at Qatar University College of Law, legal research and policy center focused on delivering solutions to the needs of Qatar’s National Development Strategy. Its current research and roundtable agenda focuses on financial innovation for Qatar’s economic diversification, including artificial intelligence, cybersecurity, digital currencies, and blockchain technology. As a lawyer and academic established in law, policy and social sciences, he has secured major research grants from Qatar Foundation as well as other corporate and public sponsors, enabling him to research and publish in areas of interest including financial innovation and regulation, cybersecurity, AML/CFT, taxation, and commercial law. He also studies policy tools to impact social behavior towards to achieve decarbonization and other sustainability objectives to mitigate climate change. Before joining QU College of Law in 2010, Dr. Truby taught graduate and undergraduate courses on the LLM and LLB courses at Newcastle Law School (England). His Ph.D. from Newcastle Law School at the University of Newcastle upon Tyne (England) was a doctoral study of environmental tax law and its impact upon environmental behavior including sustainable energy consumption and production. His undergraduate degree was also from Newcastle Law School where he received a First Class Honours Degree in his LLB Degree with prizes. After his postgraduate professional legal qualification at the University of Law in York (England), where he focused upon commercial and corporate law, he went on to practice law in a top ten global law firm in the City of London, before beginning his doctorate.
Dr. Xing is the founder and CEO of ROMAN ROADS, which is a startup company based in the Bay Area, California. ROMAN ROADS is focusing on building disruptive behavior learning technology to train self-driving cars such that they can drive naturalistically just like human.
Dr. Xing received his Ph.D. degree in Physics at CERN, France, and Switzerland, affiliated with Syracuse University, New York, where his thesis was focusing on using neural networks to solve a leading-edge scientific problem, CP violation after the Big Bang.
Dr. Xing joined Stanford in 2013 as a Staff Scientist, where he worked at the national laboratory SLAC with job responsibility is developing and managing an in-house software system of data analysis, machine learning, sensor/detector read-out, big data framework, etc.
Dr. Xing joined NIO, the USA in 2016 as Staff Data Scientist where he was focusing on developing state-of-the-art deep learning, reinforcement learning algorithms for autonomous driving vehicles.
Antonello joined in Honda Research Institute Europe GmbH where he is currently Principal Scientist, leading several projects on automotive intelligent systems, autonomous driving, real-time parallel middlewares, integration infrastructures and social networking services for business. He is a reference person for new technologies, new trends and advanced software technology at the international level at Honda.