Bio:

Professor Siyuan Yu, is a Professor in the Photonics & Quantum research group at the University of Bristol and a member of the Smart Internet Lab.  His research areas include Photonic devices and Networks.

Bio:

I am Full Professor at the Federal Univerty of Uberlandia in the Faculty of Computing and I received the Ph.D. degree within an international agreement between the University of São Paulo and CNRS/France at the Laboratory of Analysis and Architecture of Systems (LAAS, Toulouse). I have experience in the areas of Computer Science, Engineering and Mathematics, with emphasis on Highly Scalable and Highly Available Architectures, Cloud/Edge Computing and Design and Validation of Protocols. Currently, I am working primarily in the following areas: Smart Cities, Future Internet, DL/ML, SDN, NFV, 5G networks, Scalable Automata, Web Services, and Smart Grid. 

Speaker: Dr Dimitrios Zorbas

Abstract:

Current Industrial Internet of Things (IIoT) protocols suffer from short 
range links and limited mobility. A Low Power Wide Area Network (LPWAN) 
solution such as the LoRaWAN can resolve those issues, however, the 
ALOHA-based transmission policy of those technologies makes the delivery 
of a large number of packets by a large number of nodes impossible. To 
avoid bursts of collisions and expedite data collection, we propose 
scheduling of transmissions in time slots. We provide evidence through 
extensive experiments that time-slotted synchronous LPWAN communications 
are feasible under different node arrangements.

Biography:

Dr. Dimitrios Zorbas holds a PhD in Computer Science from the University 
of Piraeus in Greece. He has worked as a post doctoral researcher at 
Inria Lille – Nord Europe and at University of La Rochelle in France. He 
is currently researcher at Tyndall National Institute after receiving a 
Marie Curie fellowship. He is author of more than 40 peer-reviewed 
publications in the area of computer communications, energy efficiency 
in networks, and secure communications. He has also worked in several 
national as well as FP7 and H2020 projects. He is member of the IEEE.

Speaker 1: Dr Shuangyi Yan

Title of Talk:  “On-Demand Dynamic Optical Networks with Machine Learning Technologies”

Biography: 

Shuangyi Yan is currently a lecturer in High Performance Networking & Optical Networking at the University of Bristol. He received the B.E degree in information engineering from Tianjin University, Tianjin, China in 2004. In 2009, he got the PhD degree in optical engineering from Xi’an Institute of Optics and Precision Mechanics, CAS, Xi’an, China. His doctoral dissertation focused on key technologies in ultra-high-speed optical communication networks, such as ultra-short optical pulse generation, high-bandwidth optical signal processing. From 2011 to 2013, He worked on the spectra-efficient long-haul transmission system and low-cost short-range transmission system in Photonics Research Centre, Dept. EIE of the Hong Kong Polytechnic University, Hong Kong. He was involved in several industrial funded projects. In July 2013, he joined the High Performance Networks Group at University of Bristol. His research interests include Artificial intelligence in Optical Networks, multi-dimensional programmable optical networks, multi-layer network analytics for network optimisation, and next generation data centre networks. He is the author or co-author of over 60 publications, of which consist patents and several post deadline papers in optical communication related top-level conferences.

Speaker 2: Dr Krishna Coimbatore Balram

Title of Talk: “Looking at future RF systems through a photonic lens”

Biography: 

I grew up in Delhi, India's historic capital city and partly because of that, I have a lifelong affection for history and all things ancient. I got my undergraduate degree in India, graduate degrees in the US and started as a lecturer at Brisol in January 2017. My research interests are primarily in the field of nanoscale opto-electro-mechanical devices for information processing and sensing applications. I am particularly interested in nanoscale device fabrication and aim to produce state of the art opto-electronic devices at the Bristol nano-fabrication facility.

Speaker: Dr George Woodward

Title of talk: Harmonic Radar to Chase Insects, Masive MIMO and other Research Highlights from the Wireless Research Centre, University of Cantebury, NZ

The Wireless Research Centre (WRC) at the University of Canterbury, New Zealand, is an industry facing research centre focussing on research challenges defined by the needs of industry and government.   The centre has extensive knowledge and experience working with emerging wireless standards, including the 3GPP family of cellular standards (3G, 4G, 5G, and now emerging 6G concepts), local area and personal-area networks.  Specific technologies of expertise include information theory, multi-antenna systems (MIMO), modulation and coding, diversity systems, relaying, scheduling, combinations of wireless and geospatial technologies, and the internet of things.  Application areas include mission critical communications (civilian and strategic), intelligent transportation systems (vehicular automation), swarm intelligence (e.g. Unmanned Aerial Vehicle/drone swarming), biosecurity (e.g. trapping and tracking of invasive species), and Antarctic operations (e.g. remote sensing).

This talk will introduce the capabilities of the Centre and give some research highlights from the most recent year.  We will spend some time talking about an ambitious project to use bistatic harmonic radar operating from a swarm of unmanned aerial vehicles to track insects.  The engineering challenges arising from the project are many-fold, including design of miniaturised passive harmonic radar tags for mounting on insects, bistatic radar system design including node synchronisation, and co-ordination of the drone swarm. 

Biography:

Dr Graeme Woodward received B.Sc., B.E., and Ph.D. degrees from the University of Sydney, and has enjoyed a career spanning industry and academia.  His extensive industrial research experience includes pioneering VLSI designs for multi-antenna 3G Packet Access (HSDPA) with Bell Labs (Lucent Technologies), Sydney. Subsequently he worked with Agere Systems and LSI Logic with a focus on low power chip design for 3G and 4G (LTE) terminals contributing to chip designs shipped in volume to a major international handset vendor.  From 2007 he worked as Research Manager of the Telecommunications Research Laboratory, Toshiba Research Europe (Bristol, UK) engaged in numerous large UK and EU projects.  He is now Research Leader with the Wireless Research Centre, University of Canterbury, New Zealand.  His speciality is digital baseband signal processing for wireless communications standards, with a particular interest in multi-antenna processing and interference/channel distortion mitigation.  He is a Senior Member of the IEEE, has authored more than 50 papers and 12 U.S. patents and has served on numerous conference committees.

Speaker 1: Dr George Oikonomou

Title of Talk: “IPv6 multicast forwarding in networks of severely-constrained wireless embedded devices”

Biography: 

Lecturer in IoT Networking, with 7 years of post-doctoral research experience in the UK (University of Bristol and Loughborough University). Originally a statistician, with an MSc in Information Systems and PhD in Computer Networking from the Department of Informatics at the Athens University of Economics and Business.

Co-founder, steering group member and maintainer of Contiki-NG, the next generation, open source operating system for the IoT. Maintainer of the original Contiki OS. Inventor of the Sensniff open source software project. cc2538-bsl collaborator.

IoT Enthusiast, Software Developer, Open Source & Creative Commons proponent.

Speaker 2: Mr Alex Mavromatis

Title of Talk: “An AI Assisted Microservices Solution for Mission-Critical IoT Applications”

Summary

Multiobjective Optimization Problems (MOP) have become a hot topic in today complex world where several different objective functions should be considered to find a real good compromise solution for today problems.

This talk will formally present the basis on Multiobjective optimization, presenting topics as:

• Formal Introduction (Math).
• Solving MOP.
• Metrics.
• Many Objectives Optimization Problem (MaOP).
• A couple of Applications.
• A practical example using Machine Learning (in a Multiobjective context).
• Open research areas.

The University of Bristol’s, Smart Internet Lab held the World's first music lesson with critically acclaimed jazz musician, Jamie Cullum. This landmark event was delivered using brand new 5G technology and the Smart Internet Lab’s 5GUK Test Network, and kindly hosted by We The Curious, Bristol’s Science Museum.

For more information see here.

A world-leading consortium of industry pioneers has been showcasing the latest innovations in 5G networking and technologies across a four-day event at the University of Bristol’s Smart Internet Lab.

To read the full press release see here.

Over the weekend of 17-18 March 2018, the University of Bristol’s Smart Internet Lab held the world’s first public 5G end-to-end trial. 

See more information here.

The Smart Internet Lab invites you to join visiting Dr Nikos Pleros from Aristotle University of Thessaloniki, Greece as he shares his insights around how photonics can bring significant functional benefits in computing architectures.

Abstract: How should someone exploit photonics in computing? Simply replacing the electrical with optical wires and increasing the data rate is the first and obvious answer, but the idiosyncrasy of photons can lead to improved architectures that can offer additional functionality in Datacom and Computercom environments.

This talk will concentrate on how photonics can bring significant functional benefits in computing architectures, spanning from disaggregated rack-scale through disintegrated chip-scale and even to the emerging neuromorphic platforms. Nikos Pleros will present how innovative optical switching, photonic Network-on-Chip and optical RAMs can shape a radically new computing environment with increased granularity, modularity, performance and energy efficiency.