DISA

Centre for Data Intensive Sciences and Applications

Welcome to Higher Research Seminar 230119

2024-01-04

When? Friday January 19th 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/e5GiPpZpyc7UBznv8 by January 17th (especially important if you plan on attending onsite so we have fika for everyone)

14.00-14.10 Welcome and practical information from Welf Löwe
14.10-14.55 Presentation and discussion: Virtual Ecosystems for Smart Sustainable City-districts – an architecture perspective – Jesper Andersson
14.55 – 15.05 Coffee break
15.05 – 15.50 Presentation and discussion – Self-adaptation: basic principles and industrial usage – Danny Weyns
15.50 -16.00 Sum up and plan for our next seminar on February 16th

Abstracts

Virtual Ecosystems for Smart Sustainable City-districts – an architecture perspective – Jesper Andersson

This talk will discuss architectural issues concerning establishing and operating a digital ecosystem. Digital ecosystems are becoming a foundation for value streams in multiple businesses and domains. The case we study is a smart-district platform, which shares challenges with the Smart-city.

This talk focuses on two concerns, the ecosystem’s platform architecture and architecture barriers to establishing and operating an ecosystem. We characterize sustainable product and service ecosystems in a smart-district ecosystem and discuss specific design alternatives. In a design process, certain architectural barriers impede ecosystem establishment and operation. We describe some categories with concrete examples from the case. In connection to the barriers, we describe specific architectural governance challenges and discuss some possible solutions. We discuss several avenues for future platform architecture and governance research.

Self-adaptation: basic principles and industrial usage – Danny Weyns
 
Self-adaptation enables a software system to reason about itself at runtime and adapt itself to realise a set of quality goals. Self-adaptation has been widely used in the software industry, but not necessarily known under the term self-adaptation. In this talk, I motivate the use of self-adaptation, outline the basic principles of self-adaptation, and report the results of a large-scale survey with practitioners on the use of self-adaptation in industry. 

Welcome to PhD-seminar January 2024

2024-01-02

When? Friday January 12th 14-16
Where? Onsite: B1006 at Linnaeus University in Växjö and online
Registration: Please sign up for the PhD-seminar via this link https://forms.gle/YsyLzBd7K6tL1hmX6 by January 10th (especially important if you plan on attending onsite so we have fika for everyone)

14.00-14.10 Welcome and practical information from Welf Löwe
14.10-14.55 Presentation and discussion: Senadin Alisic, PhD student Combitech
14.55 – 15.05 Coffee break
15.05 – 15.50 Presentation and discussion – Improving access to digital archives pertaining to the Sámi with HTR and automatic subject indexing, Johannes Widegren, PhD in Computer and Information Science at the Department of Cultural Sciences
15.50 -16.00 Sum up and plan for our next seminar on February 2nd

Abstracts

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Welcome to Higher Research Seminar with Italo Masiello on November 17th

2023-10-27

Welcome to the last Higher Research Seminar of the year!

  • When? November 17th 14-15
  • Where? In B1006, Växjö or online

Title: Technology integration is about trust

Abstract:

We started our research project with a baggage of expectations about what we could do with data in compulsory education. Even greater expectation was reflected by the school principals we were working with. “Can we see this? And can we see that?”: asked the principals.

Two years after we started the project, we are standing on the finish line but have not crossed it yet. This means that we have not been able to “really” analyze (any which way) the data to create useful visualization dashboards. But we have learned a hack of a lot!
1. No data standards on site!
2. Digital inheritance is enormous!
3. Everyone develops as they please!
4. Competences are not at the top!
5. GDPR scares the “#€% out of everyone!
6. Local IT infrastructure is not in place!
7. OMG how many hours of dialog it took to get where we are today!
8. It is not about technology. It is about trust!

I will show you what we can do with the data, at this point in time only theoretically. I will also show you the technical infrastructure that Artemis, my doctoral student working with the data, has setup for integrating multiple datasets coming from different companies and schools. If you have experience of working with educational data from the primary school sector, I would also like to hear from you about ideas for future direction.

Welcome to our November PhD-seminar

2023-10-12

When? Friday November 3rd 14-16
Where? Onsite: D1140 at Linnaeus University in Växjö and online
Registration: Please sign up for the PhD-seminar via this link https://forms.gle/txd4g2Un1qfYSvr2A by November 1st (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: Unlock the Power of Mobile Robotics with AI based Vision – Daniel Nilsson, PhD student at Kuka Nordic
14.55 – 15.05 Coffee break
15.05 – 15.50 Presentation and discussion – AI and data literacy: What knowledge and skills are needed in a data-driven society? – Johanna Velander, PhD student UPGRADE and WASP-HS
15.50 -16.00 Sum up and the Big Data Conference and plan for our next seminar on January 12th

Abstracts
Unlock the Power of Mobile Robotics with AI based Vision – Daniel Nilsson, PhD student at Kuka Nordic
This research project proposes a transformation of KUKA’s AMRs into multifunctional agents using the vehicles existing sensors and AI. In the current solutions Autonomous Mobile Robots (AMRs) primarily serve as single-function devices, enabling driverless transportation between various points within a facility. At the same time automation of processes such inventory tracking tend to involve additional investments in additional systems and costly hardware installations, adding to the financial dilemma when striving to transform the operation toward industry 4.0. By allowing AMRs to manage transportation, inventory tracking, and safety compliance simultaneously, such advancement would significantly add to the AMR’s value in production environments.

AI and data literacy: What knowledge and skills are needed in a data-driven society? Johanna Velander, PhD student UPGRADE and WASP-HS
Uncovering patterns and trends in vast, ever-increasing quantities of data has been enabled by different machine learning methods and techniques used in many of the applications that we use in our daily lives. Permeating many aspects of our lives and influencing our choices, development in this field continues to advance and increasingly impacts us as individuals and our society. The risks and unintended effects such as bias from input data or algorithm design have recently stirred discourse about how to inform and teach about AI in K-12 education. As AI is a new topic not only for pupils in K-12 but also for teachers, new skill sets are required that enable critical engagement with AI.

In this presentation, I will talk about my PhD project, which sits at the intersection of computer science and teacher education. In a recent study deploying a Learning Analytics plugin at some LNU courses students’ thoughts, attitudes and emotions were investigated when engaging with their own data (collected by the LMS Moodle). Results revealed a low awareness of data collection and potential data-driven practices and also worries about how this data could be used and who could have access to it. Following these insights and according to my Ph.D. affiliation with UPGRADE and WASP-HS I have continued to investigate how awareness and knowledge of AI concepts, applications and potential ethical concerns often referred to as AI literacy can be taught at a K-12 level in order to inspire future data scientists and to enable equal participation in a digital data-driven society according to a critical literacy perspective that empowers learners to act on and find alternatives to issues present in current AI practice.

 

Welcome to our October PhD-seminar

2023-09-15

When? Friday October 6th 14-16
Where? Onsite: D1140 at Linnaeus University in Växjö and online
Registration: Please sign up for the PhD-seminar via this link https://forms.gle/dQLHkqx9ctt2ws82A by October 3rd (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: Bridging the Gap: A Hybrid Recommendation System for E-Commerce Cold Start Challenges – Kailash Chowdary Bodduluri, Industry PhD-student HL Design
14.55 – 15.05 Coffee break
15.05 – 15.50 Presentation and discussion – Continuous Performance Management of Business Processes via Digital Twin and Model-Driven Architecture – Samuele Giussani, PhD student at LNU
15.50 -16.00 Sum up and plan for our next seminar on November 3rd

Bridging the Gap: A Hybrid Recommendation System for E-Commerce Cold Start Challenges Kailash Chowdary Bodduluri, Industry PhD-student HL Design

Abstract: In the dynamic landscape of e-commerce, effective recommendation systems play a pivotal role in enhancing user experiences and boosting sales. However, the ubiquitous cold start problem has long been a challenge in implementing recommendation systems, particularly for businesses like HL Design that provide smart webshops to e-commerce customers. To address this challenge, extensive research was conducted through a systematic literature review on hybrid recommendation systems in the e-commerce domain. This review aimed to identify existing algorithms in the literature and uncover potential areas for adaptation. The literature review revealed some existing research gaps in the context of dealing with cold start issues. To bridge these gaps, a novel hybrid recommendation system was developed. This system leverages product images and descriptions, identifies similar products based on user sessions, and incorporates historical sales data. By combining these diverse data sources, the developed system offers innovative solutions to tackle the persistent cold start challenges in recommendation systems. This seminar will delve into the journey of identifying these research gaps, developing the hybrid recommendation system, and exploring its effectiveness in addressing cold start issues. It promises to be an enlightening discussion for those navigating the complex realm of recommendation systems in e-commerce.”

Continuous Performance Management of Business Processes via Digital Twin and Model-Driven ArchitectureSamuele Giussani, PhD student at LNU

Business Process Management (BPM) deals with administrating the chains of events, activities, and decisions that add value to an organization. It is of particular interest to assess the business process performance in a continuous way, in order to gather as much information as possible to allow informed decisions in the value chain.

However, organizations are often complex and driven by several business-critical processes, that should be continuously monitored, evaluated, and managed to deliver value-added products and services to customers. To this end, we employ a Digital Twin of the Organization (DTO), which is a virtual representation of the organization that includes all the actors and activities implementing the business processes, to estimate and analyze the relevant Key Performance Indicators (KPIs).

The notation commonly adopted in BPM is distant from what a DTO can use to produce its results, so we introduce Biz2Sim, a model transformer tool that leverages the Model-Driven Architecture (MDA) approach to obtain simulation models from the Business Process Model and Notation (BPMN). By incorporating both Biz2Sim and the DTO in the traditional BPM lifecycle, performance assessment can be performed with real-time data and with an increased degree of automation.

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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Workshop (May 4th, 2023) on Self-supervised deep learning in EO-based forest inventory – ESA RepreSent project and Forest Thematic Exploitation Platform (F-TEP)

2023-04-27

Deep learning (DL) and computer vision are rapidly gaining popularity in forest inventory. However, the scarcity of available reference data limits the effective use of DL tools. Self-supervised learning (SSL) and weakly-supervised learning aim to solve this bottleneck by enabling better utilization of available EO data to effectively train DL models.

We invite you to attend an online workshop, where we will present and discuss several deep learning models suitable for forest mapping with satellite remote sensing data, that were created within the ESA funded RepreSent project (2022-2023) on Representation learning for Copernicus Sentinel data. The developed models enable forest mapping and monitoring by significantly reducing the amount of reference data typically required for deep learning model training. A selected set of tools has also been implemented on Forestry TEP to facilitate the quick adoption of developed methodologies in the downstream sector and for potential use as benchmark methodologies.

The workshop targets AI4EO researchers who are interested in the forestry sector, as well as foresters who wish to explore the broader applications of DL and SSL in their academic research or operational forest management.

Please inform about your participation using this link https://forms.office.com/e/GFKbeZ29jQ

Participation to the workshop is free.

The online workshop will be organized on MS Teams, and further details will be sent to registered participants.

Preliminary agenda – the online workshop starts at 10 am EEST (Finland time zone), May 4th 2023

10:00 am (EEST) Welcome and ESA RepreSent project introduction Matthieu Molinier, Oleg Antropov, VTT, Corneliu Octavian Dumitru, DLR
10:05 Forest inventory using EO data Jukka Miettinen, Tuomas Häme, VTT
10:15 Self-supervised and weakly-supervised Learning in Earth Observation ESA Represent consortium
10:25

10min + 5min Q&A

MoCo & MAML models in forest mapping using Copernicus Sentinel-2 and Sentinel-1 data Lloyd Hughes, Marc Russwurm,

Devis Tuia, EPFL

10:40

10min +5 min Q&A

UNet+ models with multi-source EO data Oleg Antropov, VTT
10:55

10 min +5 min Q&A

DCVA approaches for forest change detection using Sentinel-2 images Ridvan Kuzu, DLR
11:10 Break (5 mn)
11:15

20 min +5 min Q&A

F-TEP introduction: Status and tools overview Jukka Miettinen, Renne Tergujeff, VTT
11:40

20 min + 5 min Q&A

F-TEP service demonstrations including SSL Lauri Seitsonen, VTT
12:05 F-TEP developer’s perspective Lauri Seitsonen, VTT
12:15 Concluding remarks Oleg Antropov, Matthieu Molinier, VTT

Please forward this invitation to your colleagues who might be interested in these topics.

We look forward to meeting you at the workshop.

Oleg Antropov, Matthieu Molinier, VTT and the ESA RepreSent team

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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