Industry Seminar: Perspectives in Robotics and Control Technologies for Smart & Sustainable Mobility

Prof Bani Anvari

Director of the Intelligent Mobility Group at University College London

She received a Bachelor of Science (BSc) in Civil Engineering from the University of Science and Culture (Iran) in 2008. She completed her Master of Science (MSc) in Advanced Architectural Studies at the Bartlett School of Architecture (University College London) in 2009. Her PhD research at Imperial College London focused on a new microscopic model for the simulation of shared space schemes. From 2013 to 2016, she was a Research Associate in the Centre for System Engineering and Innovation / Port Operations Research and Technology Centre and Lloyd’s Register Foundation Transport Risk Management Centre at Imperial College London. From 2016 to 2017, she was a Lecturer in Intelligent Mobility in the Transport Research Group (TRG) at the University of Southampton. Since 29 January 2018, she is a lecturer in Intelligent Mobility at the Centre for Transport Studies within CEGE in the Faculty of Engineering at UCL.

Dr Boli Chen

Electronic and Electrical Engineering at University College London

Dr Boli Chen received the PhD degree in Control Systems from Imperial College London, UK in 2016. He is currently a Lecturer in the Department of Electronic and Electrical Engineering at University College London, where he is associated with the Sensors Systems and Circuits research group and the UCL Robotics Institute. His research focuses on control, optimisation and estimation of complex dynamical systems, with applications focusing on the automotive and power electronics areas. He is currently an associate editor of European Journal of Control and an associate editor of the EUCA (European Control Association) Conference Editorial Board.

Dr Clare Mutzenich

Associate Director at 7th Sense Research

Clare is Associate Director of 7thSense Research and has led a wide range of projects for UK, European and US clients in transport, education, UX design and customer insights and advising on strategies for the safe adoption of new technologies. Clare holds an ERSC funded PhD from Royal Holloway, University of London on the topic of Situation Awareness in Remote Vehicle Operators. Her doctoral research examined what level of situation awareness is sufficient to control a vehicle remotely, how much exposure is required to build up this level of awareness and whether the provision of additional information (e.g. additional camera feeds, stereoscopic vision, VR) can improve awareness levels in remote operators.  

Dr Junyan Hu

Computer Science at University College London

Junyan is currently a Lecturer (Assistant Professor) with the Department of Computer Science, University College London (UCL). Prior to joining UCL, he worked as a Research Associate in Robotics at the University of Manchester. He serves as an Associate Editor for leading international journals and conferences in the field of robotics and artificial intelligence, such as IEEE Robotics and Automation Letters (RA-L) and IEEE International Conference on Robotics and Automation (ICRA). He is a Member of IEEE-CSS Technical Committee on Networks and Communication Systems, IEEE-RAS Technical Committee on Multi-Robot Systems, and IFAC Technical Committee on Large Scale Complex Systems.

Karla Jakeman

Head of Automated Transport at TRL

Karla is Head of Automated Transport at TRL. She has over 25 years’ experience in the transport industry including connected and automated transport, active travel, ITS, highways, geospatial tech in transport and was formerly a Design Quality Engineer. In line with TRL’s mission to create clean and efficient transport that is safe, reliable and accessible for everyone, Karla’s focus is a connected and automated transport system which enhances everyone’s quality of life, the environment, and the economy.

Ben Upcroft

VP of Technology at Oxbotica

Ben is the VP of Technology at Oxbotica, with extensive experience in perception systems for field robotics ranging from commercial passenger vehicles, all-terrain vehicles, draglines, haul trucks, underwater platforms, to unmanned aerial vehicles. He balances state of the art algorithms with real world system implementation to achieve intelligence in self-driving platforms - on and off road. 

Ben's previous life was as a tenured academic in Computer Vision and Robotics at the Queensland University of Technology, Australia where he focussed on machine learning for field robotics.