DISA

When? Friday May 3 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/9zwTEPoH9Uw26Cbi7 by May 1st (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: ChatGPT as a combined OCR and key-value extractor – Nemi Pelgrom, Industry PhD student at Fortnox
14.55 – 15.05 Coffee break
15.05 – 15.50 Presentation and discussion: Data-Driven Approach Towards Objective Evaluation of the Gravel Road Condition – Keegan Mbiyana, PhD-student in Mechanical Engineering
15.50 -16.00 Sum up and plan for our next seminar on May 31st

Abstracts

ChatGPT as a combined OCR and key-value extractor – Nemi Pelgrom, Industry PhD student at Fortnox

This study presents the results of an experiment of using the AI chatbot chatGPT as a combined OCR and key-value extractor. The dataset used consisted of 1000 real invoices and 500 images of real receipts from a wide variety of Swedish market sectors. This tool demonstrated an accuracy rate of 99.8% in extracting key financial data from invoices, and 100% accuracy from images of receipts, showcasing its potential as a one-stop solution for financial document processing.

Data-Driven Approach Towards Objective Evaluation of the Gravel Road Condition – Keegan Mbiyana, PhD-student in Mechanical Engineering

Visual windshield surveys are the primary method for assessing the condition of gravel roads, but they can be prone to human judgment errors and can be time-consuming. There is a need to shift to an objective assessment of the condition of gravel roads by leveraging advances in sensor technology and data processing techniques for efficiency and effectiveness. This seminar will present work conducted in the Department of Mechanical Engineering in objectively assessing the gravel road condition to improve maintenance planning and decision-making. The results from the field experiments on three gravel roads with different condition classes and the vehicle vibration response collected using Integrated Electronics Piezo-Electric (IEPE) and smartphone accelerometers to verify a proposed rule-based approach will be presented. The challenge of regular monitoring is discussed, considering the remote location of gravel roads. Regular condition monitoring and data collection would require collecting and storing huge amounts of data. Therefore, as part of future work, the seminar will briefly introduce an adaptive sampling technique to reduce redundant or unnecessary data before storage.

When? Friday May 17th 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/yidY5w9CWFqbXgz38 by May 15th (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: Using AI in eHealth Research, Alisa Lincke
14.55 – 15.05 Coffee break
15.05 – 15.50 Presentation and discussion – Emerging Technologies for Preventive Healthcare, Hemant Ghayvat
15.50 -16.00 Sum up and plan for our next seminar on June 14th

Abstracts

Using AI in eHealth Research, Alisa Lincke
In this seminar, Dr. Alisa Lincke, Senior Lecturer at Linnaeus University, will share her research experience in eHealth over the past three years, conducted in collaboration with Kalmar eHealth Institute, Stockholm University, Uppsala University, Karolinska, and others. Three seed research projects will describe the process starting from writing seed application, ethical approval, data extraction, data analysis, and research outcome. You will get insights about the research process and challenges in eHealth research.

Emerging Technologies for Preventive Healthcare, Hemant Ghayvat
In the rapidly evolving world of healthcare, the integration of Artificial Intelligence (AI) and the Internet of Things (IoT) stands at the forefront of innovation, offering unprecedented opportunities to enhance patient care and outcomes. Our seminar delves into the transformative potential of these technologies in addressing some of the most pressing healthcare challenges, particularly in elderly care, mental health, and cardiac care. Through expert-led discussions, we will explore how AI’s predictive analytics can revolutionize elderly care by monitoring and managing chronic conditions, ensuring timely interventions, and promoting independent living. Similarly, in mental health, AI’s data-driven insights can personalize treatment plans and provide support, while IoT devices offer real-time monitoring and management solutions. For cardiac care, the combination of AI and IoT promises to improve diagnostics, treatment efficacy, and continuous patient monitoring, significantly reducing the risk of adverse events. Join us as we uncover the synergistic power of AI and IoT in crafting the future of healthcare, where technology empowers care providers to offer more precise, effective, and compassionate care across these critical areas.

Our friends at BTH invites our PhD-student to join their new course offered by the innovation office in Innovation and entrepreneurship during 2024. The course aims to support researchers in the process of taking research results to Innovation, impact and commercialization.

Research impact is no longer solely evaluated on academic publications and teaching programmes. The research funding landscape today expects a clear strategy regarding impact on society included in project proposals. Non-academic research dissemination, either through a start-up company or collaborations with established companies is therefore increasingly important.

The course is divided into three optional modules, i.e., you can register to one or several modules according to your interest (one credit per module). See attached course description for further information.

• The course starts at 2/4 with an introductory lecture
• The course is provided by Innovation office at BTH in cooperation with external expert representatives who will give lectures and seminars.
• Course registration is done by sending email to marie.netz@bth.se at the latest 28th of March.
• Please state your full name, department and research area AND which module(s) you want to take.
• Senior researchers are also welcome to attend and follow the course.

For more information about the course see: https://lnu.box.com/s/vkvu3k3incqwqh9higjvsi0q0lgnzzvf

When? Friday April 5th 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/ptgACTxKcaQ5VASr8 by April 3rd (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: Bridging temporal gaps in vegetation indices satellite data and forecasting the future – Tibo Bruneel, PhD student at Softwerk AB
14.55 – 15.05 Coffee break
15.05 – 15.50 Presentation and discussion – PhD administration, information and course related issues – Gisela Isgren, Ewa Püschl and Milena Rusic
15.50 -16.00 Sum up and plan for our next seminar on May 3rd

Abstract

Bridging temporal gaps in vegetation indices satellite data and forecasting the future – Tibo Bruneel, PhD student at Softwerk AB
In this research seminar I will present the machine learning work I have done so far in my PhD studies with some intermediate results. The research addresses the challenge of inconsistent temporal data gaps in Sentinel-2 vegetation indices time series and the forecasting of the vegetation index future.

Temporal data gaps occur in sentinel-2 optical data, mostly arising from factors such as cloud cover and adverse weather conditions. Having very inconsistent time series prevents further analysis such as detection, quality control and forecasting. Therefore we first address the data continuity challenge to obtain a consistent daily estimation of the vegetation index.

Given a consistent timeline of daily estimates, we further attempt to predict the near future of the vegetation index. Here we attempt to achieve both a high forecasting accuracy, and a strong generalisability over different locations in the world, as models trained on a single location often are hard to generalise on different environments.

When? Friday April 19th 14-16
Where? Onsite: D1173 at Linnaeus University in Växjö and online
Registration: Please sign up for the PhD-seminar via this link https://forms.gle/RupZWWgzawV25HhH8 by April 17th (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: State-of-the-art and ongoing research on the Visualization of Temporal and Multivariate Networks – Claudio Linhares
14.55 – 15.05 Coffee break
15.05 – 15.50 Presentation and discussion – Explainable AI through Visual Analytics – Rafael Martins
15.50 -16.00 Sum up and plan for our next seminar on May 17th

Abstracts

Don’t miss the opportunity to come and listen to our invited lecture from Memorial University of Newfoundland – Dr. Vinicius Prado da Fonseca
Please sign up via this form by February 21st. https://forms.gle/wZ9YmV8Fu4AwbaQu5

Title: “Using ML/RL to develop visual and tactile sensing for the next generation of assistant devices and smart prosthesis”

Abstract:
The next generation of autonomous robotic assistants and semi-autonomous prostheses will focus on making object manipulation more predictable and reliable. Achieving these goals requires novel manipulation methods while obtaining and processing accurate object information. This presentation delves into recent investigations leveraging Machine Learning models and Reinforcement Learning methodologies to extract hand and object characteristics from visual and tactile data. Our ongoing research spans various domains, including robotic perception, human grasp analysis, and intention recognition. Specifically, we will showcase progress in haptic feedback integration, enhancing robot hand grasp stability, automatic texture recognition, precise surface reconstruction, and optimizing robotic disassembly tasks. Through these endeavors, we aim to illuminate pioneering approaches in employing machine learning models to analyze visual-tactile data, offering promising applications in automated hand control and biomedical engineering.

Bio:
Dr. Vinicius Prado da Fonseca , Ph.D., is an Assistant Professor in the Department of Computer Science at Memorial University of Newfoundland. In 2014, Dr. Prado was awarded the Science without Borders Ph.D. scholarship, and later, in 2020, obtained his Ph.D. degree in Electrical and Computer Engineering from the University of Ottawa, Canada. Dr. Prado’s area of expertise is robotic manipulation and visual and tactile robotic feedback, where he focuses on building the next generation of tactile sensing and perception combined with artificial intelligence, fuzzy logic controllers, and applied reinforcement/machine learning. In recent years, he has published over 30 peer-reviewed articles in leading conferences and journals such as IEEE ICRA, Springer Intelligent Robotics, and IEEE Transactions.
https://www.cs.mun.ca/~vpradodafons/

When? Friday March 15th 14-16
Where? Onsite: D2272 at Linnaeus University in Växjö and online
Registration: Please sign up for the PhD-seminar via this link https://forms.gle/ycGkmasndKvofBCE6 by March 13th (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: Advancements in IoT and AI Integration: Insights from Kalmar’s IoT Lab – Fredrik Ahlgren
14.55 – 15.05 Coffee break
15.05 – 15.50 Presentation and discussion – Data and sustainability – Jorge Zapizo
15.50 -16.00 Sum up and plan for our next seminar on April 19th

Abstracts

Advancements in IoT and AI Integration: Insights from Kalmar’s IoT Lab – Fredrik Ahlgren
In this seminar, Dr. Fredrik Ahlgren, Senior Lecturer at Linnaeus University, will outline the transformative journey of establishing the IoT Lab in Kalmar, showcasing its evolution from an initial concept to a thriving research hub. The presentation will highlight the lab’s innovative projects, such as connected beehives and the M/S Dessi connected ship initiative, alongside collaborative efforts with over 15 industry partners through pilot cases. Dr. Ahlgren will delve into the integration of AI for data analysis, including the use of ChatGPT for enhancing research outputs. The seminar will reference specific publications, such as the application of machine learning for fuel consumption prediction in maritime engineering and the use of reinforcement learning in IoT environments, underscoring the lab’s contribution to applied research in IoT and AI. Attendees will gain insights into the lab’s strategic approach to leveraging IoT and AI for addressing real-world challenges, highlighting the impact of these technologies on industry and education.

Data and sustainability – Jorge Zapico
Data can make sustainability issues visible and actionable: carbon emissions, biodiversity, energy, resource consumption, waste. These issues are complex, long term, systemic, and we have problems grasping them without support. Technology provides new ways to measure the current state, simulate future scenarios and options, and to get feedback about ongoing changes and interventions. Dr. Jorge Zapico, Senior Lecturer at Linnaeus University will present lesson learnt from developing prototypes and services for sustainability during the last 15 years, what he sees as the main contributions, risks and pitfalls, and which future innovation spaces lay ahead.

When? Friday March 1st 14-16
Where? Onsite: B1009 at Linnaeus University in Växjö and online
Registration: Please sign up for the PhD-seminar via this link https://forms.gle/1KCLvBZQph4Vs1cR7 by February 28th (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: Leveraging machine learning and large language models to map source code as natural language to architectural modules. – Nils Johansson, Industry PhD-student at Volvo CE
14.55 – 15.05 Coffee break
15.05 – 15.50 Presentation and discussion – Towards a Probabilistic Interactive Video Training Tool for Emergency Medical Services – Romain Herault, PhD-student at LNU
15.50 -16.00 Sum up and plan for our next seminar on April 5th

Abstracts

The 8th International Workshop on Formal Approaches for Advanced Computing Systems (FAACS 2024), co-located with the 21st IEEE International Conference on Software Architecture (ICSA 2024), will be held in IIIT Hyderabad, India June 4-8, 2024.

Important Dates:
– Submission Deadline: February 18, 2024
– Notification of Papers: March 17, 2024
– Camera Ready: March 31, 2024
– Workshop Date: June 4 – 5, 2024

Motivation and Scope
Cutting-edge technologies, infrastructures, and computational paradigms such as digital twin, cloud, fog, edge computing, IoT, digitalization, Industry 5.0, and cyber-physical systems are changing how data and services are delivered and used. Such systems have a significant and elaborate societal impact, making it paramount to guarantee essential qualities of the delivered product, such as dependability, reliability, safety, and availability. As new paradigms become pervasive in our everyday lives, new challenges also emerge in dealing with uncertainty, untrustworthiness, and information loss, affecting the software life cycle in different phases. Ensuring critical qualities requires a joint effort in devising advanced software architecture designs by the software architecture community and formal modeling and verification approaches by the formal methods community.

The main goal of the workshop is to foster integration between formal methods and software architecture promoting new connections and synergies between the two communities to address the challenges of the upcoming generation of computing systems. Aligned with the theme of the ICSA 2024, we welcome contributions on the potential and risks of generative AI in developing advanced software architectures and ensuring qualities like dependability, reliability, safety, and availability through formal modeling and verification.

Topics of Interest include (but are not limited to) the following:

When? Friday February 16th 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/FUV4yzLXLTwiSvQe9 by February 14th (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: Using Virtual Reality to gain insights – Aris Alissandrakis
14.55 – 15.05 Coffee break
15.05 – 15.50 Presentation and discussion – Cloud and HPC – Morgan Ericsson
15.50 -16.00 Sum up and plan for our next seminar on March 15th

Abstracts
Using Virtual Reality to gain insights – Aris Alissandrakis

This seminar will give a brief overview of recent work (2017-now) conducted by the VRxAR Labs research group.

The evolution of our immersive analytics system that went from “simple” data exploration to supporting hybrid asymmetric collaboration will be presented.
The focus will be on the motivations and decisions that informed the direction of this research, and the methodological approaches used to make sure that the system both a) did what it was supposed to and b) was perceived favorably by its users.

Given that VR is better experienced and understood by seen in motion, anyone interested in this is encouraged to check out our video demonstrations on [https://vimeo.com/vrxar].

Cloud and HPC – Morgan Ericsson

We’ll start by discussing what HPC, Cloud computing and related terms mean. We’ll then discuss how and when you should use a cloud environment, such as CSCloud, for HPC. The talk will illustrate the important concepts using CSCloud and discuss, e.g., virtual machines and networks, containers, orchestration, etc.