SMARTHEP Kick-off meeting

from to (Europe/Stockholm)
at Fysiska institutionen-Physics Department ( 1-4-H422 - H422 (conference room, not for teaching) )
The SMARTHEP kick-off meeting connects interested partners from both academia and industry, in order to launch common projects in the framework of the EU Innovative Training Networks. The first day of the workshop will be dedicated to explaining our research to other players, academic and not, through pitch talks and brainstorming that will facilitate the knowledge transfer between academia and industry and the collaboration on common projects. The second part of this workshop will be dedicated to reviewing the state of the art of real-time analyses in high energy physics, and discuss future directions and collaborations within academia. This project will enable a more effective data collection and data analysis, both in High Energy Physics and in commercial applications. Examples include data analysis in image capturing devices, risk assessment in medical insurance provision and smart cities/internet of things applications.

This workshop is supported by the Grace and Philip Sandbloms fond. 

Vidyo link:
Go to day
  • Wednesday, 3 May 2017
    • 10:00 - 12:00 Discussion with local industrial partners: Morning session (note change of room)
      Pitch talks from local start-ups and companies
      Location: 1-5-H551 - H551 (not for teaching)
      • 10:00 Big data at the LHC 1h0'
        Speaker: Dr. Oxana Smirnova (Lunds universitet)
        Material: Slides pdf file
      • 11:00 Discussion with Alexandros Sopasakis CEO of Ximantis ( 1h0'
  • Thursday, 4 May 2017
    • 09:00 - 12:30 Academic partners: pitch talks and brainstorming
      Every researcher is invited to give a 10' talk on their research, about their institute/group/experiment's involvement in real-time analysis and machine learning. We will then have 5' of questions after each talk, and 15'-20' of wrap-up after the end of the talks. The goal of this session is to get to know each other's research interests and how they map to our topics. Optionally, each researcher can think of one or two possible PhD topics that they would be interested in developing, towards their inclusion in the ETN application. 
      • 09:00 Arrival and introductions 20'
      • 09:20 LPNHE (LHCb) 15'
        Speaker: Dr. Vladimir Gligorov (LPNHE)
      • 09:35 Dortmund (LHCb) 15'
        Speaker: Johannes Albrecht (TU Dortmund)
        Material: Slides pdf file
      • 09:50 Helsinki (CMS) 15'
        Speaker: Joona Havukainen (HIP)
        Material: Slides pdf file
      • 10:15 Fika break 30'
      • 10:45 Oregon (ATLAS) 15'
        Speakers: Frank Winklmeier (University of Oregon), Stephanie Majewski
        Material: Slides pdf file
      • 11:00 Lund (ALICE O2) 15'
        Speaker: Peter Christiansen (Lunds universitet)
      • 11:15 Lund (ATLAS) 15'
        Speakers: Caterina Doglioni (Lunds universitet), William Kalderon (Lund University)
        Material: Slides pdf file
      • 11:30 Heidelberg (ATLAS) 15'
        Speakers: Pavel Starovoitov, Monica Dunford (University of Heidelberg)
        Material: Slides pdf file
      • 11:45 NIKHEF (ATLAS) 15'
        Speaker: Olya Igonkina (NIKHEF)
        Material: Slides pdf file
      • 12:00 Discussion 30'
    • 12:30 - 13:30 Lunch break
    • 13:30 - 15:00 Own work/breakout discussion time
    • 15:00 - 16:30 Discussion of SMARTHEP in the context of an ETN application
      In this session, we will discuss the idea of the SMARTHEP project towards an ETN application. Ideally, the goal of this discussion is to have a storyline for the research goals part of such a proposal: 
      1) what are the research (and industry) problems we are tackling with this application
      2) why should we solve this problem using machine learning and real-time analyses
      3) how do we intend to proceed with the training of students towards this 
    • 16:30 - 17:00 Fika break
    • 17:00 - 18:00 Discussion on industrial partners and secondments
      The framework of the European Training Network foresees collaborations between institutes through secondments/training periods of the PhD students in an institute or an industrial organization that is not the one they're doing their PhD in.  
      In this session, we will discuss:
      1) how to make student mobility happen between academic partners, as well as PhD projects that have connections between institutes
      2) possible industrial partners, and what we would like from them (training, hosting a PhD project...)
      The aim of the session is to produce a list of PhD project ideas with links between institutes, a list of possible partner companies as well as their role in SMARTHEP. 
    • 19:00 - 21:00 Dinner
  • Friday, 5 May 2017
    • 09:00 - 12:00 Discussion of application and division of tasks
      In this session, we will discuss more in detail how to get to a complete ETN application. We will start with an introduction from Lund University Research Services on the H2020 framework for this application, and we will proceed by starting on a canvas application  with the research bullet points from the day before. The idea is to come out of this morning session with an outline, volunteers for sections and an idea of the timescales / when the next meeting will be. 
      • 09:00 Presentation of ETN H2020 program 1h0'
        Speaker: Teresia Rindefjäll
        Material: Slides pdf file
      • 10:00 Fika break 30'
      • 10:30 Discussion 1h30'
    • 10:00 - 10:30 Fika break