Presentation abstracts | Digitalize in Stockholm 2019
Panel descriptions | Nov 26
11:30 - Morning sessions
Public sector and society digitalization
How is urban planning and city life being transformed by digitalization? What is the role of national and local government in the digitalization of society? Will public sector digitalization be different from private industry? Visions for the future will be discussed, anchored in university research, ongoing tests and experiences of the digitalization journey so far.
Autonomous systems including intelligent transport
Self-driving vehicles and platooning are examples of autonomous systems that we hear about regularly. Collaborating robots, connected drones and AGVs using AI to operate together to solve dangerous or heavy tasks are on the horizon. Which other areas are relevant? What levels of autonomous is possible already and in the future? Where is more basic research needed?
15:30 - Afternoon Sessions
The digitalized society will require very different skill sets from today. New technology competence is needed to develop the tools and build the systems. The way we organize business and public sector activities will change. What kind of competence will industries, organizations and nations need, and how can that be provided? How can we as the workforce keep pace?
Digitalizing the manufacturing industry
The manufacturing industry is in the beginning of the digital transformation. Industry 4.0 is a well-known concept also outside of the industry itself. What is the cutting edge? How will it affect industries, and what will it mean for those who work there?
Presentation abstracts | Nov 27
09:00 - From compressed sensing to deep learning: Tasks, structures and models
Professor Yonina Eldar, Weizman Institute of Science, Israel
The famous Shannon-Nyquist theorem has become a landmark in the development of digital signal and image processing. However, in many modern applications, the signal bandwidths have increased tremendously, while the acquisition capabilities have not scaled sufficiently fast. Consequently, conversion to digital has become a serious bottleneck. Furthermore, the resulting digital data requires storage, communication and processing at very high rates which is computationally expensive and requires large amounts of power. In the context of medical imaging sampling at high rates often translates to high radiation dosages, increased scanning times, bulky medical devices, and limited resolution.
In this talk, we present a framework for sampling and processing a large class of wideband analog signals at rates far below Nyquist in space, time and frequency, which allows to dramatically reduce the number of antennas, sampling rates and band occupancy.
Our framework relies on exploiting signal structure and the processing task. We consider applications of these concepts to a variety of problems in communications, radar and ultrasound imaging and show several demos of real-time sub-Nyquist prototypes including a wireless ultrasound probe, sub-Nyquist MIMO radar, super-resolution in microscopy and ultrasound, cognitive radio, and joint radar and communication systems. We then discuss how the ideas of exploiting the task, structure and model can be used to develop interpretable model-based deep learning methods that can adapt to existing structure and are trained from small amounts of data. These networks achieve a more favorable trade-off between increase in parameters and data and improvement in performance, while remaining interpretable.
09:45 - Making computer vision systems that work: Boujou, Kinect, HoloLens
Dr Andrew Fitzgibbon, Microsoft, Cambridge, UK
I have been lucky enough to have been involved in the development of real-world computer vision systems for over twenty years. In 1999, prize-winning research from Oxford University was spun out to become the Emmy-award-winning camera tracker “boujou”, which has been used to insert computer graphics into live-action footage in pretty much every movie made since its release, from the “Harry Potter” series to “Bridget Jones’s Diary”. In 2007, I was part of the team that delivered human body tracking in Kinect for Xbox 360, and in 2015 I moved from Microsoft Research to the Windows division to work on Microsoft’s HoloLens, an AR headset brimming with cutting-edge computer vision technology. In all of these projects, the academic state of the art has had to be leapfrogged in accuracy and efficiency, sometimes by several orders of magnitude. Sometimes that’s just raw engineering, sometimes it means completely new ways of looking at the research. If I had to nominate one key to success, it’s a focus on, well, everything: from low-level coding to algorithms to user interface design, and on always being willing to change one’s mind.
11:00 - Early career Spotlight: Working with Third Sector Organisations to develop digital technologies: Design as Justice-Oriented Ecologies
Dr. Angelika Strohmayer, Lecturer in Communication Design, Northumbria University, UK
Third Sector Organisations provide services for those made most marginal in society – those for whom public and private services are not available. Increasingly, these services are looking towards digital technologies as ways of providing novel services. In this talk, I will reflect on the work I have carried out in partnership with such organisations to implement digital technologies as part of service delivery. Together, we reflected on their current use of digital technologies as well as the development of novel approaches to integrating exploratory and mundane digital technologies into existing service delivery. Learning from my collaborators and the communities they support, I will address issues related to ‘justice’ processes, particularly when working with stigmatised or criminalised communities. In the talk, I will discuss some of the lessons I have learnt about justice-oriented technologies along the way to provide insights and considerations for researchers and designers wanting to do ‘design for good’ with Third Sector Organisations.
11:15 - A Prospect in Wireless Research: Embracing Heterogeneous Connectivity
Professor Petar Popovski, Aalborg University, Denmark.
The wireless landscape evolves towards supporting a large population of connections for humans and machines with very diverse features and requirements. An important step in embracing heterogeneous connectivity has been the definition of the three cornerstone services in 5G: enhanced mobile broadband (eMBB), massive machine-type communications (mMTC), and ultra-reliable low-latency communications (URLLC). However, this classification is rather limited and is currently undergoing a revision within the research community. Service heterogeneity can be accommodated by network slicing, through which each service is allocated resources to provide performance guarantees and isolation from the other services. Nevertheless, slicing gets a completely new dimension in the context of the shared, interfering nature of the wireless medium. For example, what is the tradeoff when two links are sharing the wireless medium, where one link requires low latency and the second link requires a high rate? This talk will address this type of questions and shed light on the research challenges and opportunities in addressing those questions. Overall, supporting assorted connectivity types in a shared wireless spectrum is an important prospect for connectivity beyond 5G.
13:45 - Early career Spotlight: Dealing with uncertainty in safety-critical cyber-physical systems
Dr.ir. Sofie Haesaert, Assistant Professor, Eindhoven University of Technology, Netherlands
Control engineering, a central part of CPS design, amounts to developing software that digitally controls dynamical physical systems affected by uncertainty and stochasticity to provide stability, performance, and robustness via feedback. Within this domain, the need for new engineering tools has led to the development of formal verification and design methods for control in CPS. In this talk, I will talk about my contributions to formal verification methods that can handle the uncertainty in cyber-physical systems caused by (1) the inherent stochasticity in physical systems, (2) the use of noisy sensor measurements, and (3) the lack of exact model knowledge.
14:00 - Data Security and Privacy in Emerging Scenarios
Professor Pierangela Samarati, Department of Computer Science, Universita' degli Studi di Milano, Italy
The rapid advancements in Information and Communication Technologies (ICTs) have been greatly changing our society, with clear societal and economic benefits. Mobile technology, Cloud, Big Data, Internet of things, services and technologies that are becoming more and more pervasive and conveniently accessible, towards to the realization of a 'smart' society’. At the heart of this evolution is the ability to collect, analyze, process and share an ever increasing amount of data, to extract knowledge for offering personalized and advanced services. A major concern, and potential obstacle, towards the full realization of such evolution is represented by security and privacy issues. As a matter of fact, the (actual or perceived) loss of control over data and potential compromise of their confidentiality can have a strong detrimental impact on the realization of an open framework for enabling collection, processing, and sharing of data, typically stored or processed by external cloud services.
In this talk, I will illustrate some security and privacy issues arising in emerging scenarios, focusing in particular on the problem of managing data while guaranteeing confidentiality and integrity of data stored or processed by external providers.