The UCL Fleming Society and UCL Engineering Society are proud to present the Google Deepmind: Future of AI & Deep Learning Panel!
We are delighted to be joined by Dr Martina Zambelli, Research Scientist at Google Deepmind, George J Frangou, Founder & CEO of Massive Analytic and chair of the event, Dr Miguel Rodrigues — UCL Course Director of MSc Integrated Machine Learning Systems.
Date: Tuesday 15th January
Time: 5pm to 6pm
Please note seats will be allocated on a first come first serve basis!
Dr Martina Zambelli — Research Scientist at Google Deepmind
Dr Martina Zambelli is a Research Scientist at DeepMind. She received the Laurea Magistrale degree (M.Sc. equivalent) in automation engineering from the University of Padova, Italy, in 2013, and she was a visiting student at the Automatic Control Department at KTH Royal Institute of Technology, Stockholm, Sweden, in the same year. She then joined the Personal Robotics Lab at the Electrical and Electronic Engineering Department, Imperial College London, U.K., from which she received her Ph.D. degree in 2018.
Her background is mainly concerned with automatic control, mathematical modeling and system identification. Her current research interests involve machine learning applications to robotics, with particular focus on learning methods for autonomous intelligent robots.
George J Frangou. Massive Analytic Ltd (MAL) Founder & CEO
George has thirty years in business and academia, as a research physicist, engineer, management consultant, innovator and technopreneur; with a unique combination of an extraordinary and visionary technical mind combined with business acumen and the proven ability to commercialise ground-breaking innovations. Founder of multiple companies based on original, futuristic patented ideas and exits. George holds fourteen international patents including his most recent on quantum point cloud processing, and has published leading peer-reviewed papers in AI.
BSc (Hons) in Astrophysics and an MSc in Optical and Wireless Communications from UCL. Doctoral studies at Warwick University and advanced information visualisation at Imperial College. Elected FBCS for recognised pre-eminence in machine learning visualisation. Other professional accreditations and honours include Chartered Engineer, Fellow of the Institute of Directors (FIoD) and FRSA. Formerly CEO of Platon UK (now part of Deloitte), founder of data analytics company Pronus and KPMG senior executive.
George led global big data transformation programs for Thomson Reuters, Centrica and the FT with £ multi-million ROI. He has also won and successfully delivered £1 million government-funded research projects collaborations with academia, including knowledge transfer partnership (KTP) with UCL Advances in reinforcement-learning for advanced artificial precognition. He has Several UK firsts: Virtual Science Park (Leeds University pioneering www development, the early 1990s); and fibre optic broadband network (CW, now run by Virgin Media, mid-1980s).
In 2015, led the development of an advanced proof-of-concept for video precognition using deep-learning. George has a good grasp of written French.
He recently returned to his first love astrophysics, by reviewing a book on this subject in French called Exoplanètes written by Dr David Fossé, in Principium’s August 2018 edition. Principium is the Newsletter of the Initiative for Interstellar Studies. It also featured at October’s annual International Astronautical Congress (IAC) in Bremen, Germany.
Dr Miguel Rodrigues, Reader, UCL EEE
Miguel is a Reader with the Department of Electronic and Electrical Engineering, University College London, U.K. He was previously with the Department of Computer Science, University of Porto, Portugal, rising through the ranks from Assistant to Associate Professor, where he also led the Information Theory and CommunicationsResearch Group at Instituto de Telecomunicações – Porto.
He received the Licenciatura degree in Electrical Engineering from the Faculty of Engineering of the University of Porto, Portugal in 1998 and the Ph.D. degree in Electronic and Electrical Engineering from University College London, U.K. in 2002. He carried out postdoctoral research work both at Cambridge University, U.K., as well as Princeton University, U.S.A, in the period 2003 to 2007. He also held visiting research appointments at Princeton University, U.S.A., Duke University, U.S.A. Cambridge University, U.K in the period 2007 to 2012.
His research interests are in the general areas of information theory, communications theory and signal processing. He has over 100 publications in international journals and conference proceedings in the areas.
He was the recipient of the IEEE Joint Comsoc and Information Theory Society Joint Paper Award in 2011 for the work on Wireless Information-Theoretic Security (jointly with M. Bloch, J. Barros and S. W. McLaughlin). He was also the recipient of the Prize Engenheiro António de Almeida, the Prize Engenheiro Cristiano Spratley, and the Merit Scholarship from the University of Porto, and the best student poster prize at the 2nd IMA Conference on Mathematics in Communications. He was awarded doctoral and postdoctoral research fellowships from the Portuguese Foundation for Science and Technology, and research fellowships from Foundation Calouste Gulbenkian.
Miguel is the Course Director of a new MSc in Integrated Machine Learning Systems launching in September 2019.