EMSIG Forum 2019
This year the forum will be held in Edinburgh at the Royal Society of Edinburgh (https://www.rse.org.uk/). The event is an opportunity for interested parties from across industry, academia, and government to come together at a dedicated event to discuss the latest developments in the field of electromagnetic systems. Last year the forum was attended by ~130 people from 13 universities and 18 industrial organisations, all involved in radar related research within the UK. In total 72 posters were presented, with 33 of these being from PhD researchers.
Located in Scotland’s capital city this year’s forum will be held over two days. The first day, 18th June 2019, will feature a poster session of current research work, both from industry and academia with talks from radar engineers working in both industry and academia. The second day, 19th June 2019, will feature presentations from the EMSIG focus groups, SAR (Synthetic Aperture Radar), MODEST (Modern Trends in Range Sensing) and ASPIRE (Advanced Signal Processing in Radar and Electronic Warfare).
Registration is required for the event. The first day has a cost of £50, but complimentary tickets are available for students (with a requirement for them to present posters of their research) and retirees through the normal registration process. The second day has a cost of £25, with no availability of complimentary tickets, due to limited capacity on this day. Please see the attached guide to registration. Many thanks to our sponsors: Leonardo, DSTL, BAE Systems, without whom this forum would not be possible.
A programme for the event can be found below.
We look forward to welcoming you to Edinburgh for EMSIG 2019!
Getting to the Venue
The venue is the Royal Society of Edinburgh, 22-26 George Street, Edinburgh, EH2 2PQ
The venue is located in the city centre of Edinburgh and you can get here via:
Train: Edinburgh Waverly Train Station is 10-15mins walking distance to venue.
Air: Edinburgh Airport is about 35mins away from the venue via the Tram (nearest stop is St Andrews Square, which is a few mins walk to the venue.
Car: Nearest long stay car park is Greenside Place (cost unknown), or Omni parking (https://www.omniedinburgh.co.uk/Parking), which is £20 for up to 12hours. Both car parks are 10-15mins walk to the venue.
All attendees, both from academia and industry, are highly encouraged to present posters on Day 1, and you can register your poster via the registration process described below. Though please note that it is recommend that all posters be of A1 portrait size. If you really need to deviate from this, you must inform the organizers above before the event to accommodate for this.
Note all registering students must present posters to qualify for complimentary tickets on Day 1.
The venue is generally accessible, but it is an old building and there are steps between where the catering is and the posters on the first day. On the second day we have the option of two rooms for the catering. One is larger but has steps, the other is accessible but smaller. The venue can adjust if needed, but we need some advance notice for this. So, if you have any special access requirements please contact the organizers above at least a week before the event.
Dr Sukhjit Pooni
Last Year's Forum
Dr. Matthew Ritchie, studied an MSci in Physics at Nottingham University 2004-2008. Following this he completed his EngD at University College London (UCL) in the area of multi-static radar sea clutter analysis in 2012. He continued at UCL as a postdoctoral researcher focusing on machine learning applied to multi-static radar micro-Doppler for classification. In 2017 Dr. Ritchie took a Radar Scientist position at the Defence Science and Technology Laboratories (Dstl) in the UK working on a broad range of cutting edge RF sensing challenges. As of 2018 he has now taken a lectureship role at UCL in the radar sensing group. He serves as the Chair of the IEEE Aerospace and System Society for United Kingdom & Ireland, is an Associate Editor for the IET Electronics Letters journal and is the 2017 recipient of the IET RSN best paper award.