DISA

Centre for Data Intensive Sciences and Applications

Welcome to the Higher Research Seminar in Computer Science on September 22nd

2023-09-06

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.

Welcome to our September PhD seminar!

2023-08-23

  • 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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Welcome to our June PhD-seminar in 2023

2023-05-05

  • 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 30th  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 1st

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First publication from our Industry PhD-students at Volvo CE is published!

2023-03-08

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 

Welcome to our first PhD-seminar in 2023

2022-12-19

When? January 13th, 14-16
Where? D1140 – 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 January 11th https://forms.gle/mxHmRtdEydUWGoa79

Agenda
14.00-14.10 Welcome and practical information from Welf Löwe
14.10-14.55 Presentation and discussion: Exploiting Automatic Change Detection in Software Process Evolution for Organizational Learning – Sebastian Hönel
14.55 – 15.05 Coffee break
15.05 – 15.50 Presentation and discussion – Design and implementation of factory-integrated machine learning models and case studies of ongoing data-driven projects – Felix Viberg
15.50 -16.00 Sum up and plan for our next seminar on February 13th

Abstracts

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Invitation: Research Seminar 9/12 11-12

2022-11-15

Title: “Roadmaps for AI Integration in the Rail Sector: Current Project Results and Overview of Case-Studies”

Abstract: Artificial Intelligence (AI) is increasingly affirming as a game-changer technology in several sectors, including rail transport. The overall objective of the H2020 Shift2Rail project RAILS (Roadmaps for AI Integration in the raiL Sector) is to investigate the potential of AI in the rail sector and to contribute to the definition of roadmaps for future research in the context of railway maintenance and inspection, autonomous train driving, and traffic planning and management. This seminar will provide a high-level overview of the RAILS project, presenting the main topics, objectives, ongoing research activities, and preliminary results achieved. Particular attention will be given to the current investigations towards the application of Deep Learning approaches to improve the maintainability of railway assets and the safety of autonomous trains. To be specific, two main case studies will be discussed, and recent advancements presented, concerning smart maintenance at level crossings and vision-based obstacle detection on rail tracks.

Speaker: Lorenzo De Donato (Visiting PhD at LNU) he is a Ph.D. Student in Information Technology and Electrical Engineering. When Lorenzo is not in Sweden visiting us he can be found at the Department of Electrical Engineering and Information Technology, University of Naples Federico II, Naples, Italy

Contact information: lorenzo.dedonato@unina.it

 

Welcome to our first PhD-seminar November 4th

2022-10-15

  • When? November 4th 14-16
  • Where? D1140 – 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 November 2nd https://forms.gle/ZwwgoQ4JK4e41BBR6

 Agenda

14.00-14.10     Welcome and practical information from Welf Löwe

14.10-14.55     Presentation and discussion: Visual Analytics for Explainable Machine Learning in a Nutshell – Angelos Chatzimparmpas

14.55 – 15.05  Coffee break

15.05 – 15.50  Presentation and discussion: Getting the most out of health data, combing the best of two worlds – Olle Björneld

15.50 -16.00    Sum up and plan for our next seminar on January 13th

Abstracts

Visual Analytics for Explainable Machine Learning in a Nutshell – Angelos Chatzimparmpas

Machine learning (ML) research has recently gained much attention, with various models proposed to understand and predict patterns and trends in data originating from various domains. Unfortunately, users find it harder to evaluate and trust the results of these models as they become more complex because most of their internal workings are kept in secret black boxes.

One possible solution to this problem is the explanation of ML models with visual analytics (VA) since it enables human experts to analyze large and complex information spaces such as data and model spaces. By doing so, evidence has shown an improvement in predictions and an increase in the reliability of the results.

This talk aims to provide an overview of the state-of-the-art in explainable and trustworthy ML with the use of visualizations, as well as the development of VA systems for each stage of a typical ML pipeline. Furthermore, we will briefly introduce some of these tools and discuss how such VA techniques can help us not only understand ML models but also do this in a human-centered and steerable way.

Getting the most out of health data, combing the best of two worlds – Olle Björneld

Machine learning driven knowledge discovery on real world data based on domain knowledge. Real world data does not comply with machine learning models very well and prediction models perform suboptimal if pre-processing of data is deficient.

Based on experience from medical registry studies using electronic health data (EHR) performed in collaboration with domain experts, data analyst and statistician an automatic feature engineering framework and method have been developed. The framework is called automatic Knowledge Driven Feature Engineering (aKDFE) and have been evaluated by machine learning pipeline.

Experiment shows that prediction models performs better if aKDFE is used without losing explainability, but more experiments need to be performed in other domains to fully quantify the results. The key aspect is how to concentrate and mine inherent knowledge in transaction data to optimal machine learning driven prediction models.

A warm welcome,

Welf & Diana

New PhD-seminar series in Computer Science

2022-10-01

In Computer Science at Linnaeus University we have different types of PhD-students. Our regular PhD-students, DISA-PhD-students and DIA-PhD-students and will hopefully be approved of getting a second intake for DIA starting next semester. Our PhD-students do not regularly meet these days and we want to change this. This will be an opportunity for PhD-students, supervisors from the university and industry to meet and discuss and provide a structured knowledge exchange.

We are working to increase the quality and formal processes for all of our PhD-students and as a first step we will introduce monthly PhD-seminars starting beginning of November 2022.

We will meet first Friday of each month between 14-16 preferably onsite but if it’s not possible we will provide the possibility to connect online too. During each seminar 2 PhD-students will get the chance to present their research and status for 30 min followed by a Q& A for 20-25 min with a coffee break in between.

Keep your eyes open for more information

/Diana

DISA Seminar May 9th

2022-05-06

Welcome to our DISA seminar with invited guest Themis Palpanas from The Data Intelligence Institute of Paris (diiP).

  • When? Monday May 9th 12-13
  • Where? Via Zoom – link will be sent to those who sign up
  • Registration: https://forms.gle/nE4nsNTKfy2FJ4pm7

Data Intelligence Institute of Paris: Creating a diiP Connection to DISA and Linnaeus University
The Data Intelligence Institute of Paris (diiP) is an interdisciplinary initiative of Université Paris Cité (France). It is a laboratory that fosters and supports the emergence of interdisciplinary practices around data science and data intelligence. It gathers researchers from formal sciences, physical sciences, life sciences and social sciences. In this talk, we will describe the goals of diiP and its operation, and try to draw parallels with DISA. We hope that this seminar will initiate discussions and eventually collaborations between the two institutes and universities.

Themis Palpanas is Senior Member of the French University Institute (IUF), a distinction that recognizes excellence across all academic disciplines, and professor of computer science at the University of Paris (France), where he is director of the Data Intelligence Institute of Paris (diiP), and director of the data management group, diNo. He received the BS degree from the National Technical
University of Athens, Greece, and the MSc and PhD degrees from the University of Toronto, Canada. He has previously held positions at the University of California at Riverside, University of Trento, and at
IBM T.J. Watson Research Center, and visited Microsoft Research, and the IBM Almaden Research Center.

His interests include problems related to data science (big dataanalytics and machine learning applications). He is the author of 9 US patents (3 of which have been implemented in world-leading commercial data management products), and 2 French patents. He is the recipient of 3 Best Paper awards, and the IBM Shared University Research (SUR) Award. He is currently serving on the VLDB Endowment Board of Trustees, as an Associate Editor in the TKDE, and IDA journals, as well as on the
Editorial Advisory Board of the IS journal, and the Editorial Board of the TLDKS Journal. He has served as Editor in Chief for the BDR Journal (that he drove to an impact factor of 3.578 and cite score of
8.6), as General Chair for VLDB 2013, Associate Editor for VLDB 2022, 2019 and 2017, and Research PC Vice Chair for ICDE 2020.

DISA Seminar April 4th Marie Skłodowska Curie postdoctoral fellowships (MSCA-PF)

2022-03-10

  • When? April 4th, 2022 12-13
  • Where? Online, you will get a link to the event when you have registered
  • Registration: https://forms.gle/M88bznTfa8CYDjjY7

DISA welcomes you to an information seminar focused on information and advice on how to develop a competitive proposal in the upcoming call for Marie Skłodowska Curie postdoctoral fellowships (MSCA-PF). The seminar will include presentations illustrating four relevant perspectives – key information, evaluation of proposals, hosting an MSCA-PF fellow and being an MSCA-PF fellow. As a fellow you apply for the fellowship with a PI, and as a PI you apply for the fellowship with an identified fellow. The seminar will provide researchers interested in becoming a supervisor for a MSCA PF with information on the fellowship programme, the requirements of a supervisor, practical information, and insights on how to write a competitive proposal from the supervisor’s perspective.

The MSCA PF tool is an outstanding prospect to expand your research group by an extremely skilled and funded postdoctoral researcher for two years while adding complementary skills and competencies to your group.

Speakers:

From the programme:

  • What is MSCA Postdoctoral Fellowships?
  • Proposal writing process
  • What is required from you as a Supervisor? The MSCA Guidelines on Supervision.
  • LNU as a host institution
  • Yes, I want to be a MSCA supervisor. What do I do now?
  • Experiences from a LNU MSCA PF Supervisor
  • Q&A

About MSCA PF

The objective of the Horizon Europe MSCA-PFs is to support researchers’ careers and foster excellence in research. The Postdoctoral Fellowship’s action targets researchers holding a PhD who wish to carry out their research activities abroad, acquire new skills and develop their careers. PF grants help researchers gain experience in other countries, disciplines and non-academic sectors. The grant usually covers two years’ salary, a mobility allowance, research costs and overheads for the host institution. Applications should be co-written by the researcher and the host organization. MSCA PF is open to all scientific disciplines.

Visit the European Commission’s website for additional information.