DISA

Professor Mauro Caporuscio will give a seminar on September 22nd 14-15 about Green Software by Design. It is possible to attend the seminar either onsite or online. If you are interested in joining please send an email to diana.unander@lnu.se.

Abstract
Despite the media interest in sustainability, the public is still unaware that software, including digital assistants, cryptocurrencies, audio/video streaming services, finances, and games, are predicted to account for as much as 14% of the total worldwide carbon footprint in the next decade. Indeed, all software consumes electricity. In general, people think electricity is clean. Still, since most electricity is produced through burning fossil fuels (e.g., coal, oil, and natural gas), in practice, electricity is the single most significant cause of carbon emissions worldwide. Further, all the devices we use for running software (from our smartphones/computers to network appliances, and to cloud infrastructures) produce carbon when manufactured and disposed of (once they reach the end of life). The two most effective ways to reduce the carbon emissions of software are through Energy efficiency, and Hardware longevity. Unfortunately, current software development projects usually treat these concerns as an afterthought: a desirable quality to be considered if and only if other stakeholder- and economy-centered requirements (e.g., performance, business needs) have been successfully addressed. To face this unsustainable trend, we need a paradigm shift in the way we engineer and operate software systems. Indeed, the software shall be designed from the foundation to be green.

The aim of this talk is to bring these aspects to your attention and to hint at future research directions toward the reconciliation of three different and typically conflicting aspects: (1) efficiency: the ability to limit energy consumption, (2) longevity: the ability to live long and prevent hardware obsolescence, and (3) efficacy: the ability to meet the users’ expectations.

• When? Friday September 1st 14-16
• Where? Onsite: D1172 at Linnaeus University in Växjö and online
• Registration: Please sign up for the PhD-seminar via this link https://forms.gle/PENhmNcQVBRx8ipR9 by August 30th (especially important if you plan on attending onsite so we have fika for everyone)

Agenda
14.00-14.10 Welcome and practical information from Welf Löwe
14.10-14.55 Presentation and discussion: Digitalization of Work Instructions Gaurav Garg, Industry PhD-student Virtual Manufacturing
14.55 – 15.05 Coffee break
15.05 – 15.50 Presentation and discussion – Towards Smarter Organization; Digital Twin of the Organization Approach – Farid Edrisi, PhD student at LNU
15.50 -16.00 Sum up and plan for our next seminar on October 6th

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• When? June 2nd 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 30^th  https://forms.gle/QHnUTeGkyYdb8dDe9 

Agenda

14.00-14.10     Welcome and practical information from Welf Löwe

14.10-14.55     Presentation and discussion: Title: Towards Better Product Quality: Identifying Legitimate Quality Issues through NLP & Machine Learning Techniques – Rakshanda Jabeen, Industry PhD-student at Electrolux Professional

14.55 – 15.05  Coffee break

15.05 – 15.50  Presentation and discussion – Title: Clustering and Modeling Large Social Networks – Masoud Fatemi, DISA PhD-student from Digital Humanities

15.50 -16.00    Sum up and plan for our next seminar on September 1^st

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Volvo CE is a major player in the construction business and leads the development of machines and technologies for sustainability, autonomy, and connectivity. An enabler for this technology transformation is smart usage and integration of machine operation data and computer simulations. To increase the knowledge in Volvo CE, a cooperation with the Linnaeus University started and Manoranjan Kumar and Joel Cramsky became two of the first industry PhD-students in DIA.

Something that most developers in industry do not do in their daily work is to share their knowledge in publications, but it’s an important part during the PhD-studies. One part of these studies has led to a paper within Data Science, “A prediction model for exhaust gas regeneration(EGR) clogging using offline and online machine learning” and it was recently published as a part of the Conference Proceedings of the 7th International Commercial Vehicle Technology Symposium.

For more information about the publication see: https://link.springer.com/chapter/10.1007/978-3-658-40783-4_13