The Centre for Smart Connected Futures has launched a seminar programme, on the first Thursday of every month, to pull together researchers from across the College and external collaborators, to hear about the latest research across the field.

All are welcome: Registration in advance through Eventbrite is required.   All talks are followed by drinks.

Thursday 2 May 2019, 17:30-19:30

Lecture Theatre 311, Huxley Building

Towards Next generation Smart IoT 

Professor Jiannong Cao, Hong Kong Polytechnic University

IoT has many applications including smart cities, logistics, industrial control and healthcare. Currently, IoT technologies still largely focus on the networking aspect of connecting and controlling the things. As the Internet becomes increasingly ubiquitous and 5G is at the corner, IoT will continue to develop and its further potential can be realized by a combination with related technology approaches such as 5G, Smart objects, Cloud computing, Big Data, and AI. In this talk, I will describe the evolution of IoT from instrumentation and interconnection to intelligence and summarize our research in the past years along this direction towards the next generation smart IoT. Smart IoT will facilitate a sustainable platform empowering advanced applications. I will focus on the current challenges and future development of smart IoT that adds intelligence to IoT leveraging advanced networking technologies,big data analytics and edge computing.

Professor Cao is currently a Chair Professor of Department of Computing at The Hong Kong Polytechnic University, Hong Kong. He is also the director of the Internet and Mobile Computing Lab in the department and the director of University’s Research Facility in Big Data Analytics. His research interests include parallel and distributed computing, wireless sensing and networks, pervasive and mobile computing, and big data and cloud computing. He has co-authored 5 books, co-edited 9 books, and published over 500 papers in major international journals and conference proceedings. He received Best Paper Awards from conferences including DSAA’2017, IEEE SMARTCOMP 2016, ISPA 2013, IEEE WCNC 2011, etc.
He served the Chair of the Technical Committee on Distributed Computing of IEEE Computer Society 2012-2014, a member of IEEE Fellows Evaluation Committee of the Computer Society and the Reliability Society, a member of IEEE Computer Society Education Awards Selection Committee, a member of IEEE Communications Society Awards Committee, and a member of Steering Committee of IEEE Transactions on Mobile Computing. Professor Cao has served as chairs and members of organizing and technical committees of many international conferences, and as associate editor and member of the editorial boards of many international journals. Professor Cao is a fellow of IEEE and ACM distinguished member. In 2017, he received the Overseas Outstanding Contribution Award from China Computer Federation.

Register here

Thursday 6 June 2019, 17:30-19:30

Lecture Theatre 311, Huxley Building


Professor Niki Trigoni, University of Oxford

Positioning and person identification systems have gained maturity in recent years, and have enabled a plethora of applications from location-aware content delivery in commercial applications to people and asset tracking and efficiency solutions in the workplace. In this talk I will provide an overview of some of the research challenges arising from developing such cyber physical systems in the wild. I will then discuss privacy issues associated with collecting and storing rich sensor data for personalisation systems.

Professor Niki Trigoni is Professor at the Oxford Department of Computer Science, heading the Cyber Physical Systems Group. Her interests lie in localisation and people identification protocols for GPS-denied environments using a variety of sensor modalities, including inertial, visual, magnetic and radio signals. She has applied her work to a number of application scenarios, including agile asset monitoring for construction sites, mobile autonomy with humans and robots, and worker localisation for safety and efficiency. Trigoni is also Director of the CDT on Autonomous and Intelligent Machines and Systems and Founder of the Navenio Oxford spinout.

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Thursday 4 July 2019, 17:30-19:30

Lecture Theatre 140, Huxley Building


Dr Carlo Alberto Boano, TU Graz

Wirelessly networked smart things are increasingly used to build applications in safety-critical domains such as surveillance of civil infrastructure, smart cities, and smart healthcare. These applications require a dependable communication performance and need to meet specific reliability and availability requirements, even when the smart devices are exposed to harsh environmental conditions such as heat and radio interference. In this talk, I will highlight how making sure that application-specific dependability requirements are met despite those environmental influences is still a grand challenge in today's IoT landscape, especially when using low-power wireless systems. I will then illustrate our recent efforts in (i) providing methods and tools to rigorously benchmark the dependability of low-power wireless systems, and in (ii) increasing the performance of IoT protocols in the presence of harsh environmental conditions.

Carlo Alberto Boano is an assistant professor at the Institute of Technical Informatics at Graz University of Technology, Austria. His research interests encompass the design of dependable networked embedded systems, low-power wireless protocols, and Internet of Things applications. Carlo Alberto is also actively involved in the IoT Benchmarking initiative and co-organizes since 2016 the EWSN dependability competition quantitatively comparing the performance of low-power wireless networking solutions from both academia and industry in harsh RF environments. More info: Carlo Alberto Boano 

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Summer break

Thursday 3 October 2019, 17:30 - 19:30

Room TBC

Professor Roger Wattenhofer, ETH Zurich

Thursday 7 November 2019, 17:30-19:30

Room TBC


Professor Karl Henrik Johansson, KTH

Thursday 5 December 2019, 17:30-19:30

Room TBC


Professor Marco Zimmerling, TU Dresden