The 7th Big Data Conference, December 1-2, 2021
Welcome to the 7th annual Big Data Conference at Linnaeus University, in Växjö, Sweden.
The host for this year's Big Data will of course be Linnaeus University Centre for Data Intensive Sciences and Applications (DISA).
We invite everyone who has an interest in Big Data and data intensive applications to take part in this event!
During the conference you will meet invited speakers from other universities and industry, but of course also learn about results and ongoing research within DISA. Longer talks with an academic or an industry focus will be mixed with poster mingles.
Just as previous years, all the presentations will be held in English.
In close connection to this year's Big Data, Linnaeus University will also be hosting the "The 9th Swedish Workshop on Data Science" (SweDS21), which is scheduled for December 2-3, 2021. More information at Lnu.se/en/SweDS21.
Big Data 2021 will take place both online and on site in Växjö!
Speakers
Senadin Alisic: Smart Cities and digital ecosystems
Abstract
Cities face unprecedented pressures as populations boom and infrastructure systems are stretched. Development of smart cities and ecosystems around them is emerging as a strategy to mitigate the challenges for cities, especially those related to urbanization and climate. Although cities concentrate societal problems, they are also the world’s best laboratories for solutions. There is increased usage of sensors and connected devices to collect and analyse data. Today, cities are moving beyond the pilot stage and using data and digital technologies to deliver results that are more relevant and meaningful to residents. Crossways Växjö is an interesting project that shows how future cities will develop and which ecosystems will emerge, and which are the driving forces behind it.
Bio
Senadin Alisic works with digitalization and digital transformations at a strategic level. He has about 20 years of experience from IT and Business from Global players such as Capgemini, Ericsson, Sony Ericsson and IKEA.
Senadin received his master's degrees from Chalmers University of Technology in IT in applied Information Technology and in business administration (MBA) from Blekinge Institute of Technology. Today, Senadin works as a strategic advisor at Combitech and is an industrial doctoral student at Linnaeus University within the Industry graduate school DIA with a focus on the challenges of smart cities.
Mauro Caporuscio: Building the Digital Twin of the Organization
Abstract
Cyber-Physical Systems, IoT, and Data-driven technology are the cornerstone of the Digital Twin of the Organization (DTO): e.g., an accurate digital representation of the organization, including physical devices, processes, services, people, and other elements. Employing a DTO would help organizations to change and innovate, thus enhancing their sustainability. However, building a DTO is perceived as a slow, resource-demanding, and extremely expensive process whose outcome is still uncertain. This talk introduces ALADINO (Aligning Architectures for Digital Twin of the Organization), a research project that aims at establishing a set of sound engineering methodologies, and tools for building and evolving DTOs.
Bio
Mauro Caporuscio is Associate Professor (Docent) in Computer Science at Linnaeus University (Växjö, Sweden). He has published several papers in the most important international journals/conferences and is serving on the program committee of international conferences and workshops. His research interests mainly focus on the application of Model-Based Software Engineering methodologies and techniques to the field of Self-adaptive Systems, with particular emphasis on decentralization and resilience.
Joel Cramsky and Manoranjan Kumar: Digital Twin - Data intensive applications at VCE
Abstract
Volvo group has a vision that 50% of the revenue comes from customer services [1]. Hence Volvo CE has also aligned to virtualize all products, systems, and components. With this Volvo CE aims to predict and verify their performance in the virtual space. To realize this vision, we started working into the directions of implementing a digital twin technology. This digital twin is the virtual representation of the physical machines which feeds the twins with data from sensors and edge-based algorithms.
One of the major tasks involved creating the accurate simulation models of the physical machines. Therefore, work is carried out to simulate customer use cases on AH and WLO.
Physical machines are providing the sensor data and further offline computations are done to find out the best sequence of simulation cases to represent the physical machines and their working environment. Other sensors are used for online calculations intended for services regarding safety and driver information or assistance.
Steps are also taken to build predictive models to solve customer problems. One of those problems is clogging to the engine where detailed studies are carried out to find a predictive model and corresponding online algorithms are being developed and deployed to the machine. This allows support or information to be given to the driver when the problem start to occur.
Bio
Joel Cramsky work as an R&D engineer at Volvo CE, has a Master in engineering physics from LTH Faculty of Engineering, and is an industrial PhD student at Linnaeus University. For the last ten years he has been working within simulation driven product development. Current research topics are digital twins, driver feedback and individual service intervals, among other interests.
Manoranjan Kumar is a Specialist Data analytics at Volvo CE, Braås, and is now pursuing an Industrial PhD at Linnaeus University, and has worked more than 15 years in automotive developments which includes trucks, buses and construction equipment. Has previously worked in the area of FE analysis, complete vehicle simulations and signal processing. Is currently involved in digital twin development for Volvo CE which focus mainly using Artificial intelligence (AI), Machine learning (ML) and data visualizations.
Per-Olof Danielsson: Data analytics at Volvo CE - purpose and future applications
Abstract
Based on Volvo's core values and its connection to the Paris agreement on decreased CO2 emissions, Volvo CE has chosen to develop a set of new environmental friendly products. This presentation aims to visualize the thread from the core values, through the Paris agreement and the related Science Based Targets all the way to how and why data analytics support the future business operations of Volvo CE.
Bio
Per-Olof holds a position as Head of Virtual Product Development at Volvo CE. He has a licentiate Engineering degree from KTH in solid mechanics. His professional background is in the field of numerical simulations and analyses within product development of airplanes, trains and construction equipment. His focus has in the last years more been focused on capturing, processing and visualizing data to create useful knowledge, not only for produt development but also for organizational entities closer to our end customers.
Kobra (Farzaneh) Etminani: Information-driven care, taking steps towards the near future of healthcare!
Abstract
We are entering a new era of health. Healthcare systems around the globe are facing value challenges. The most recent one was the virus pandemic and the sudden need for healthcare services. The second one is an escalating demand from long-term, chronic diseases and the ageing population and limited resources. Healthcare system, with all the longitudinal data it collects around patients across their lifecycles, is now in a place where it can take advantage of what data science and AI have to offer: endless opportunities such as diagnostics, and prognostics, to care personalization, in other words Information-driven care. The question is less whether AI can have impact, and more how to increase the impact while improving the user experience and adoption as well as solving the ethical challenges around its design and use.
Information-driven care is the vision of making healthcare decisions based on processed data (information) in real-time. Information-driven care provides an extraordinary opportunity to deliver significant benefits for patients, the regions, the municipalities, and the society. Reaching that vision, however, requires showing that data analytics can be trusted, demonstrating the value of using it, and showing how the transformation to information-driven healthcare should be done.
Bio
Kobra (Farzaneh) Etminani is an Associate Professor in Machine Learning, working at the Center for Applied Intelligent Systems Research (CAISR), Halmstad University, Sweden. She has a PhD in Computer Engineering from Ferdowsi University of Mashhad in 2013. She has worked on various topics and application areas within Machine Learning (ML), Artificial Intelligence (AI), Data Mining, and Deep Learning (DL) in the last decade, focused on healthcare, district heating, and mobility. Her main research interest is focused on solving real-world problems, which is focused on a healthier society, with the help of AI and ML, if possible and applicable. Her recent research focus is on patient trajectories and eXplainable AI (XAI) in precision healthcare at CAISR-Health research profile, where she serves as the Deputy Profile Leader for this center.
Alexander Darin Mattsson: The National E-infrastructure for Aging Research (NEAR)
This presentation will introduce the National E-infrastructure for Aging Research (NEAR) and inform how to apply for NEAR-data. Since the 1970s, Swedish longitudinal population-based studies have played a major role in geriatric research by exploring health-related conditions in older adults. Most of these studies are now part of NEAR, which is a unique project with the overall aim to build and run a National E-infrastructure for Aging Research. NEAR comprises 15 major longitudinal population-based studies on aging and health in Sweden and is financially supported by the Swedish Research Council (Vetenskapsrådet, VR). It is a collaboration between eight universities including Karolinska Institutet, University of Gothenburg, Lund University, Umeå University, Jönköping University, Uppsala University, Stockholm University and Blekinge Institute of Technology. Overall, NEAR is a multidisciplinary resource including 180.000 individuals aged 50 years or over who have been assessed by direct interview and clinical examination. NEAR integrates rich medical and social data, providing unique opportunities for researcher to identify sustainable intervention strategies for better health and to develop more effective care of the older population.
Bio
Alexander Darin Mattsson has a Ph.D. in social epidemiology and is presently working as a database coordinator within the National E-infrastructure for Aging Research (NEAR). The NEAR-project coordinates the existing databases from major population-based longitudinal studies on aging and health in Sweden. The aims of NEAR are to promote and facilitate aging research in Sweden, to increase international exchange and collaboration, and to enhance research quality and generalizability of research findings (NEAR).
alexander.darin.mattsson@ki.se
Johnny Fägersten: After Sales Digital Twin - A revolution for a product maintenance!
Abstract
Our perspective is aftermarket; from the time the product leaves the factory until it is phased out and scrapped. In Automotive, this area is changing in record time, and the technical answer is a digital twin that keeps a copy of each car and based on these, different services; spare parts, service instructions, diagnostics, etc. are offered.
As one of the first systems that goes live and are used in day to day business, we tell about our journey together with a car manufacturer in Gothenburg.
Bio
Johnny Fägersten is CEO of Sigma Technology Origo, a product company with a focus on delivering aftermarket solutions. Johnny has developed solutions for technical documentation and aftersales for 21 years in a variety of different industries, and now he’s finally see the big rapid change so many hoped for in our business.
Anders Logg: Creating Digital Twins of Cities
Abstract
Digital Twins are digital replicas of physical things. They help to
make better-informed decisions, lowering costs and the chances of
failing in the real world. Recent advances in technology have already
enabled the creation of digital twins of cars or airplanes that can
now be modelled, simulated and optimised before they even leave the
drafting table.
This progress is about to become reality for something as complex as
whole cities. Digital Twins can simulate and visualize the pulse of
the city in real-time with layered data sources of buildings, urban
infrastructure, utilities, businesses, movement of people and
vehicles. Utilising this technology in the right way has enormous
potential for tackling some of the most pressing urban challenges,
such as segregation, flooding, pollution, traffic congestion,
spreading of fire & diseases.
In this talk, I will present an overview of our activities at the
Digital Twin Cities Centre, a Vinnova Competence Centre hosted by
Chalmers University of Technology in Gothenburg, including our most
recent results on automatic city model generation, simulation and
visualization.
Bio
Anders Logg is Professor of Computational Mathematics at Chalmers and
Director of the Digital Twin Cities Centre. He has published an
extensive list of highly cited research papers and books within
computational mathematics with a special interest in automated
high-performance simulation of physical systems. Logg is founder
and CEO of ReSpace, a company providing cloud-based solutions for
simple creation and sharing of digital twins in AR and VR.
Anna Nordström: Health data - research based in Health Data - Umeå university/Region Västerbotten
Abstract
Life Medicine, a testbed focusing on health literacy, healthy ageing and self care works actively to increase usage of collected health data with the aim is to increase the transparency, usability and availability of research, thereby benefitting the scientific community, businesses, organisations and society as a whole.
For the past 10 years, findings from our studies have played a part in shaping the world we live in today, providing evidence for many of the choices we face as individuals, and as a society, and informing many areas of health policy. Today, our studies are casting light on some of the biggest challenges we face and we are engaged in the development and commercialisation of innovations in collaboration with SMEs and innovative entrepreneurs.
Bio
Anna Nordström is adjunct professor at The Department of Public Health and Clinical Medicine Units: Section of Sustainable Health at Umeå University, and also professor II at UIT, The Arctic University of Norway in Tromsö
Didem Gürdür Broo: Human-centred Cyber-physical Systems: How can we build better intelligent systems
Abstract
High quality, trustworthy data can help organizations build strategies, capture value, increase the potential of automation and enable insightful and fast decision-making. Data could change the cities we inhabit through real-time solutions to challenges such as traffic congestion, air quality, energy distribution and monitoring. It can help us to build better ecosystems that support human flourishing. Data could enable us to be more effective, efficient, and sustainable. And it is already changing the world one industry at a time.
At the same time, data is often referred to as “the new oil”. We are, on one hand, benefitted from the revolutions that oil fuelled. Yet, on the other hand, one of the biggest threats that the earth is facing today is the unanticipated results of this revolution – climate change. Now that we are at the beginning of another new era, which many call the fourth industrial revolution, it is vital to understand how data-related decisions of today can affect the future and we focus on understanding the cause-effect relationships of our design decisions. Therefore, it is essential to not only focus on the opportunities of data but also understand the challenges around it.
This talk aims to provide an overview of the important characteristics of cyber-physical systems, common challenges related to data usage in cyber-physical systems. We will discuss strategies to deal with these challenges and have a brief introduction to three mindsets that can help us to do not only design intelligent systems but also do this in a human-centred and sustainable way.
Short bio
Didem cares about the future of the world and nature. She is a computer scientist with a PhD in mechatronics, which can give you an idea about how much she loves to talk about the future and emerging technologies. She is a data person, always finds a way to talk about how important it is to know your data, use it to make decisions, and at some point, expect her to talk about art, visualizations, and visual analytics. Didem is a person who does not hesitate to talk about inequalities and point out her ethical concerns. She dreams of a better world and actively works on improving inequalities regardless of their nature. She is an analytical thinker with a passion for design thinking, a researcher with a future perspective, an engineer who likes problems more than solutions, and a teacher who likes to play during lectures. She is a good reader, sailor, divemaster, photographer, and drone pilot.
Currently, Didem is Marie Skłodowska-Curie Fellow on Human-centered and Sustainable Cyber-physical Systems. This fellowship will enable her to undertake a new research project in the designX research lab at Stanford University. The project focuses on intelligence, autonomy, and interoperability of cyber-physical systems. She uses data science, design thinking, future thinking, and systems thinking to design future cyber-physical systems not only human-centered but also sustainable way. The project is funded by European Commission's Marie Skłodowska-Curie Actions which supports excellence in research and innovation. Prior to this project, she has been at the Engineering Department of the University of Cambridge as a research associate. She has worked at the intersection of data science and engineering projects with a focus on the design and implementation of digital twins for cyber-physical systems.