DISA

Centre for Data Intensive Sciences and Applications

Welcome to our May PhD-seminar in 2023

2023-04-12

  • When? May 5th 14.00 – 16.00
  • Where? D1172 – Växjö (link will provided for those who wants to attend online)
  • Registration: We would like to know how many that will attend onsite/online in order to get some fika for those onsite. So please register by May 3rd https://forms.gle/R1GuWXGXjiDYGWaQ6

Agenda
14.00-14.10 Welcome and practical information from Welf Löwe
14.10-14.55 Presentation and discussion: Title Data intensive applications and service development at Volvo CE – Joel Cramsky, Industry PhD-student Volvo CE
14.55 – 15.05 Coffee break
15.05 – 15.50 Presentation and discussion – Designing an Intelligent Predictive Maintenance Framework for Cyber-Physical Systems using Machine Learning and Digital Twin Technology – Mehdi Saman Azari, PhD student at LNU
15.50 -16.00 Sum up and plan for our next seminar on June 2nd

Abstracts

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Welcome to the April PhD-seminar in 2023

2023-03-09

  • When? April 14th 14.00 – 16.00
  • Where? D1172 – Växjö (link will provided for those who wants to attend online)
  • Registration: We would like to know how many that will attend onsite/online in order to get some fika for those onsite. So please register by April 12th https://forms.gle/JzVPp5h9Uz1Cwaqx6

Agenda
14.00-14.10 Welcome and practical information from Welf Löwe
14.10-14.55 Presentation and discussion: Advanced identification methods for the forest industry through CV/AI – Dag Björnberg, Industry PhD-student Softwerk
14.55 – 15.05 Coffee break
15.05 – 15.50 Presentation and discussion – Sound, Precise, Memory Efficient Points-to Analysis – Mathias Hedenborg
15.50 -16.00 Sum up and plan for our next seminar on May 5th

Abstracts

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KvarkenSat Innovation Challenge 2022 on Sustainable Forestry

2022-02-10

The DISA forestry group invites you to KvarkenSat Innovation Challenge 2022 on Sustainable Forestry that will start in next week with a pre-hackathon followed by the hackathon using space-based data helping to combat climate change!

Acceptance based on submission, the best submissions may be approved early.

The challenges

Climate change brings about major changes affecting us all. Extreme weather events become more frequent and especially the amount of rainfall increases in Northern Europe, one contributor being the warmer winters. New species of both vegetation and animals enter new areas while the existing species might have even major changes in their habitats. These lead to new challenges in the forestry industry. We are looking for ideas and solutions combining existing knowledge and datasets with space-based data and datasets based on satellite measurements, in four particular themes including soil moisture, spruce bark beetles, forest ground damage and the forest value chain.

Who can apply?

The hackathon is open to students, teachers, researchers and start-ups in teams of 3-5 persons. Relevant expertise to participate include: space and satellite data, machine learning and neural networks, computer science, positioning systems, automation, image processing/recognition, engineering, logistics, business/communications and forestry.

Awards

The three best proposals across all of the themes will be awarded a cash prize (over 100 000SEK) and possible continuation/acceleration within start-ups and innovation programs.

Pre-Hack Webinar

To get familiar with the hackathon, meet the mentors and partners, and participate in Q&A-session join our webinar on 15 February at 13.00 (14.00 Finnish time).

Link to the join the webinar: https://bit.ly/KvarkenSatWebinar

More information about the hackathon: https://ultrahack.org/kvarkensat-innovation-challenge-2022

5 new PhD students wanted!

2017-05-15

Linnaeus University Center for Data Intensive Science and Applications (DISA) has taken the first steps to build new competencies to the newly established research environment by opening up five positions for PhD students.

  • Physics with specialization in “Big Data in Astroparticle Physics”
  • Computer Science with specialization in Software and Information Quality
  • Computer Science with specialization in Visual Analytics
  • Computer Science with specialization on eHealth
  • Computer Science with specialization on formal methods and Security

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