Embedded and Intelligent Systems (EIS)

The School Information Technology conducts research within the research environment Embedded and Intelligent Systems (EIS). The purpose is to contribute to solutions of societal challenges within the University’s profile areas Health Innovation and Smart Cities and Communities.

About research environment EIS

In the research environment Embedded and Intelligent Systems (EIS), research is conducted within aware intelligent systems, smart electronic systems, cyber physical systems and digital service innovation. These four areas constitute the four Technology Areas of the research environment.

Research goal

The research goal within EIS is to provide and develop knowledge (solutions, theories, methods, tools) that are relevant for the creation of innovative IT-based products and services – from enabling technologies, via system solutions and applications, to value-creating IT utilisation. With this, we intend to contribute to strengthening the competitiveness of Swedish industry.

Research leader at the School of Information Technology and the research environment EIS:
Slawomir Nowaczyk

Publications from EIS

Four Technology Areas and one Center

Research at EIS is conducted within four Technology Areas:

The competence in these technology areas include signals and systems, informatics, mathematics, computer science and engineering, forensics, electronics and physics. These competences form the research environment EIS.

Center for Applied Intelligent Systems Research (CAISR), is a long-term research program on intelligent systems established by Halmstad University. The program is funded by the University and the Knowledge Foundation with support from Swedish Industry.

Center for Applied Intelligent Systems Research, CAISR

Research in collaboration

Through our joint competences we can be an attractive partner and deal with projects where the whole range is treated, from enabling technologies – like low-power technologies and semiconductor sensors – to value-adding IT use, considering user aspects. In between, system and application aspects are treated, that is intelligent algorithms, application-specific computer architectures and efficient interconnection technologies.

Our strategy is to focus on a limited number of application areas in which we get recognised by industry and society as a key player and natural cooperation partner. Currently, the selected application areas are: health technology, traffic and transport systems, process industry, high-performance signal processing applications, experience industry, together with the (non-application) area of ground breaking electronics.

  • EIS shall be an internationally recognised research environment with advanced and postgraduate education.
  • EIS shall be characterised by well-developed research collaborations with the business sector and the public sector.
  • EIS should be a leading environment within embedded and intelligent systems in Europe.

Technology Area Aware Intelligenta Systems

Our research is carried out in close collaboration with industrial partners and is largely about development within artificial intelligence (AI). The focus is on creating systems that, as autonomously as possible, can be developed based on real-life data.

Research focus

The goal with artificial intelligence (AI) research and development is to construct systems that behave intelligently. Today it is common to assume that human experts define the task to be performed, what data should be collected, how should it be represented, and what metrics to use for performance evaluation. This means that these systems are designed or programmed, which leads to them breaking when the context changes.

Our aim with Aware Intelligent Systems research is to approach the construction of systems that can do life-long learning; systems that require less supervision and can handle surprising situations. In order to do so, the systems must become more aware and able to learn on their own, to handle events that are unknown at the time of design. Our research focuses on creation of systems that, as autonomously as possible, can construct knowledge from real life data capturing the interaction with the environment.

Technology Area leader: Slawomir Nowaczyk.

When large amounts of data are collected and analysed by intelligent systems, new solutions to several of today's societal problems can be developed.

Picture of a woman with a projection of green light in the face.

The aim of the research is to, in collaboration with our surrounding society, create conscious and intelligent systems that have the ability to develop themselves.

Application areas

When large amounts of data are collected and analysed by these intelligent systems, new solutions to several of today's societal problems can be developed. For example, recent developments in wearable sensors has inspired a vision of personalised health; modern energy production is becoming more volatile, diverse and distributed; transport efficiency depends on better maintenance and monitoring solutions. All those areas require novel solutions that build upon available data and require autonomous knowledge creation.

The research questions we explore include selecting what data to collect and how to find general and robust representations; how to do (semi-)autonomous deviation detection, dealing with concept drift and seasonal variations; how to associate events from different data sources; is it possible to explain why certain things have happened.

Aware systems research is a systems science, so there are many interconnected parts and the results need to address several aspects, tying them together. To enable this, we build demonstrators to showcase what this means, with sets of tools for all levels.

About artificiell intelligens

Artificial intelligence (AI) can be divided into general AI and narrow AI. General AI is not yet developed, but narrow AI is used in a number of different areas today. For example, in autonomous vehicles and when scanning images on the internet. Machine learning is part of AI where algorithms and computer programs learn by repeating examples. Machine learning is a way to reach narrow AI or ultimately to general AI. Deep learning is an area within machine learning where algorithms find special features and properties for making decisions on their own.

Collaboration

Technology Area Aware Intelligent Systems is closely linked to the collaboration arena Centre for Health Technology Halland, the lab Halmstad Intelligent Home and the Center for Applied Intelligent Systems Research.

Centre for Health Technology Halland (HCH)

Halmstad Intelligent Home (HINT)

Center for Applied Intelligent Systems Research (CAISR)

Education

The Technology Area is responsible for carrying through and developing courses within artificial intelligens, image analysis, learning systems, mechatronics systems, signals and systems, and control theory. Education of doctoral students is done within the doctoral education in information technology:

Doctoral education in Information Technology

Technology Area Digital Service Innovation

At Halmstad University, we profile Informatics towards Digital Service Innovation (DSI). This implies a focus on how value is created for users, organisations and societies through combining, re-combining and integrating resources into digital services.

Research focus

Informatics at Halmstad University develops the Scandinavian Informatics tradition, which integrates Information Systems (IS) and Human Computer Interaction (HCI) research. We profile Informatics towards Digital Service Innovation (DSI). This implies a focus on how value is created for users, organizations and societies through combining, re-combining and integrating resources into digital services. We also investigate how and why DSI may promote or create improvements in the wellbeing of different societal actors, by studying for example stakeholder involvement in innovation processes, digital service logics and architectures, innovation ecosystems and value network governance.

DSI research in Informatics combines theorizing (identifying models, patterns, structures, relations, processes) with applied and action-oriented research in co-creation with industrial and public-sector partners, and covers process innovation research focused on stakeholder involvement and value co-creation as well as the intersection between digital services and business. The core competence areas include innovation process knowledge, digital service and business innovation, interaction design and design science. We often use qualitative research methods such as qualitative interviews, focus group and workshop methods (e.g. co-design, participatory design, personas) participant observation, and design ethnography. Research output includes insights, theory and method development, prototypes and demonstrators.

Technology Area leader: Magnus Bergquist.

A graphic image of a blue screen with pictures of small people falling out.

Digital service innovation is an area based on research in informatics, service sciences and innovation sciences.

Application areas

Empirically Informatics research at Halmstad University focus on DSI in different application areas in companies, public sector and for individuals. Healthcare studies aims develop an understanding of digitalization of hospitals and healthcare to empower health professionals in their work. This is done by studying the use and meaning of health technologies, and developing innovative solutions to health-related challenges for individuals, groups, organisations, companies and society at large.

In the transport sector, we study how for exampel embedded sensors in buses and intelligent systems create new opportunities for digital service innovation. A growing strand of research focuses on users’ appropriation of autonomous driving (AD) cars and digital service design for future mobility solutions.

The media application area has been the main focus for Informatics at Halmstad University for long. In collaboration with the Swedish and international media industry research has centered on exploring new IT concepts and services enabling new forms of value creation and value capture.

Research on public sector DSI focus on how digitisation in the form of civic services transforms the relationship between citizens and government, and what innovation means for the services purchased by public authorities.

We often use qualitative research methods such as qualitative interviews, focus group and workshop methods, participant observation, and design ethnography.

Blog

Technology Area Digital Service Innovation runs a blog: Digital Service Innovation blogexternal link

Education

Research is channelled into education on Bachelor, Master and PhD levels. Informatics has two Bachelor programmes, one international Master programme and Doctoral education in Informatics:

Staff

Staff at the School of Information Technology who are linked to the Technology Area Digital Service Innovation:

Magnus Bergquist

Professor and Technology Area Leader

Bendik Bygstad

Visiting Professor

Esbjörn Ebbesson

Lecturer

Vaike Fors

Senior Lecturer

Ahmad Ghazawneh

Senior Lecturer

Mareike Glöss

Postdoctor

Dulce Goncalves

Industrial PhD student at Combitech

Jesper Hakeröd

Lecturer

Philip Heimer

Lecturer

Lars-Olof Johansson

Lecturer

Susanne Lindberg

Associate Senior Lecturer

Thomas Lindgren

Industrial PhD student at Volvo Cars

Jesper Lund

Senior Lecturer

Christopher Martin

PhD student

Tom O´Dell

Visiting Professor

Katalin Osz

Researcher

Kaspar Raats

Industrial PhD student at Volvo Cars

Christer Rehnström

Lecturer

Carsten Sörensen

Visiting Professor

Michel Thomsen

Senior Lecturer

Pontus Wärnestål

Senior Lecturer

Ewa Zimmerman

Lecturer

Maria Åkesson

Senior Lecturer


Technology Area Smart Electronic Systems

Technology Area Smart Electronic Systems focus on the challenges and opportunities that the ongoing digitisation of society entails. Embedded electronics are integrated in everything from smart everyday gadgets to robots and cars. Smart electronics are developing at a rapid pace and the possibilities of new innovations are endless.

Research focus

Connected technology is everywhere. Artificial intelligence and the Internet of Things have changed our world. New innovations in health, energy, future homes and cities, autonomous vehicles and everyday technology all require a smart core of electronics. This massive integration of electronics everywhere introduces challenges like integration, miniaturisation, building practice, new sensors, low energy consumption, electromagnetic interference (EMI), architectures for high performance computing, resource efficient communication and affordable components.

Within the Technology Area Smart Electronic Systems we have ongoing research on antenna design, electromagnetic interference and compatibility, nanoelectronics and photonics, radar and radio systems, high performance computing architectures, and building practice for components and systems.

Technology Area leader: Pererik Andreasson.

New innovations in health, energy, future homes and cities, autonomous vehicles and everyday technology all require a smart core of electronics.

A picture of a piece of hardware.

We have ongoing research on for example antenna design, electromagnetic interference and compatibility and nanoelectronics.

What is Internet of Things?

The Internet of Things (IoT) can be everyday items such as household appliances, clothes and accessories, but also machines, vehicles and buildings, with built-in electronics and internet connection, which allows them to be controlled or exchanged data over the Internet.

The "things" can be controlled and share information from other locations, which facilitates integration with computer systems and can result in higher efficiency and accuracy. When the IoT contains sensors, it becomes an example of something called cyber physical systems, such as intelligent houses, smart electricity grids and intelligent transport systems.

Collaboration

Technology Area Smart Electronic Systems is closely linked to the collaboration arenas Electronics Centre in Halmstad and Rydberg Core Laboratory:

Electronics Centre in Halmstad (ECH)

Rydberg Core Laboratory

Education

The Technology Area Smart Electronic Systems is responsible for carrying through and developing courses within electronics, radio communication, electromagnetic computation and physics. Education of doctoral students is done within the doctoral education in information technology:

Doctoral education in Information Technology

Technology Area System of Cyber Physical Systems

When the Internet of Things (IoT) contains sensors, it becomes an example of something called cyber physical systems (CPS), such as intelligent houses, smart electricity networks and intelligent transport systems. This is the focus of the Technology Area Systems for Cyber Physical Systems.

Research focus

There is growing consensus that many important future innovations will involve closely coupled computational (or “cyber”) and physical components, often in a networked or distributed setting. Cyber-Physical Systems (CPSs) is a term coined to describe such systems, and has served as a flag for a large community of researchers working in this area.

At the Technology Area, we develop model-based methods that enable innovation within CPS. New methods are being developed for specification, simulation, and testing. Specification is the process of creating the models, which serve as the central artefact in model-based methods. Simulation provides a mechanism for “animating” or “running” models, and provides a fundamental tool for understanding the dynamics of a given model. At Halmstad University, focus has been on rigorous simulation methods which take into account round, discretization, and quantization errors and are guaranteed to produce correct results. Research on testing focuses on developing notions of conformance of software product lines and hybrid systems, as well as test-case generation.

Application areas for the research within cyber physical systems include robotics, automotive, and healthcare systems.

Technology Area leader: Wojciech Mostowski

New methods are being developed for specification, simulation, and testing, Application areas include robotics, automotive, and healthcare systems.

 Graphics of a large city with connections between people, things and buildings.

Cyber physical systems are for example intelligent houses, smart electricity networks and intelligent transport systems.

What are cyber physical systems?

The Internet of Things (IoT) can be everyday items such as household appliances, clothes and accessories, but also machines, vehicles and buildings, with built-in electronics and internet connection, which allows them to be controlled or exchanged data over the Internet.

The "things" can be controlled and share information from other locations, which facilitates integration with computer systems and can result in higher efficiency and accuracy. When the IoT contains sensors, it becomes an example of something called cyber physical systems, such as intelligent houses, smart electricity grids and intelligent transport systems.

Education

The Technology Area is responsible for carrying through and developing courses within Computer Communication, Computer Science, Computer Systems Engineering, Parallel Architectures and Real-Time Systems. Education of doctoral students is done within the doctoral education in information technology:

Doctoral education in Information Technology

ELLIIT – Strategic Research Environment

Halmstad University, through ITE, is part of the ELLIIT strategic research environment (SFO) aimed at encouraging research in information technology and mobile communications. The overarching objective of ELLIIT is to support scientific excellence in combination with industrial relevance and impact.

ELLIIT stands for Excellence Center at Linköping-Lund in Information Technology and has four partners:

  • Linköping University
  • Lund University
  • Halmstad University
  • Blekinge Institute of Technology

ELLIIT constitutes a platform for both fundamental and applied research, and for cross-fertilization between disciplines and between academic researchers and industry experts. ELLIIT stands out by the quality and visibility of its publications, and its ability to attract and retain top talented researchers, and aims at being recognized as a top international research organization.

ELLIIT achieves its goals by a judicious choice of funded focus projects, a structured process for international recruitment, a balanced way of stimulating cooperation between research areas and between the sites involved, and a proactive approach towards fostering and maintaining cooperation with Swedish industry.

ELLIT web pagesexternal link

Halmstad University contributes to in ELLIIT in the following way:

ELLIIT Professorships
Walid Taha

Research by Halmstad University within ELLIT

5G wirelessexternal link

Researcher: Alexey Vinel

Scalable Language Tools for Cyber-Physical Systemsexternal link

Researcher: Walid Taha

Stream Computing Infrastructuresexternal link

Researcher: Zain Ul-Abdin

Center for Applied Intelligent Systems Research (CAISR)

The Center for Applied Intelligent Systems Research (CAISR), is a long-term research program on intelligent systems established by Halmstad University. The program is funded by the University and the Knowledge Foundation with support from Swedish Industry.

The scientific focus for the Center for Applied Intelligent System Research (CAISR) is “aware” intelligent systems – human aware, situation aware, and self-aware. These systems can communicate with people, assess people's intentions and combine different sources of information to get an overall picture and monitor themselves. The subject expertise in the center is in signal analysis, machine learning and mechatronics. CAISR also has an emphasis on cooperating systems, in line with the research focus for the research environment Embedded and Intelligent Systems (EIS).

An image of the cover of CAISR annual report 2018

CAISR is a multidisciplinary research center with researchers from different areas. Our research directions are governed by the needs of society and are done in collaboration with our industrial partners.

Collaboration and organisaton

CAISR is closely linked to Centre for Health Technology Halland, the lab Halmstad Intelligent Home and Technology Area Aware Intelligent Systems:

Industrial Partners

With support from the Knowledge Foundationexternal link

CAISR Management

CAISR Industrial Advisory Board

The CAISR partners have decided to create an Industrial advisory board (IAB), consisting of representatives from each industrial partner. This group will follow the project development with respect to the co-production and co-operation between the Parties. The Industrial Advisory Group will meet twice a year. The Industrial Advisory Group will express themselves on issues of potential new partners in the project, changes in financing and project development from business perspective.

CAISR Reference Group

The reference group consists mainly of representatives from national and international research institutions. The reference group gives advice and comment on the project development from the academic perspective, not least by the University's perspective. They will also give their view on research-, innovation- and education perspectives. The reference group can also provide suggestions for concrete actions to improve the project.

Research projects and application areas

The mission of CAISR is to serve and promote the development of industry and society. It is a center for industrially motivated research on the future technologies for and application opportunities with aware intelligent systems. CAISR will serve as a partner for industry's own research and development, as a recruitment base for those who seek staff with state-of-the-art knowledge in intelligent systems technologies, and as a competence resource for industry and society. Read more about the research focus and application areas of CAISR:

Application Areas at CAISR: health care technology and intelligent vehicles

Two research projects are described in the videos below. Read more about other research projects on CAISR's wiki pages. The project Remind, which deals with technology development for people with dementia, and the AIR project, which is about human interaction with autonomous systems, have their own web pages.

Research projects at CAISR, wikipageexternal link

Projekt: Remindexternal link

Projekt: AIRexternal link

The video shows Baxter, a social robot who is trained by the researchers to perceive and interpret people's feelings and needs. For example, the robot can help people who fall and make sure that the cooked food is healthy.

The video explains the research project AIMS (Automatic Inventory and Mapping of Stock) which started in 2015 and deals with intelligent warehouse trucks. The research has been done in collaboration between the CAISR at Halmstad University, Toyota Material Handling, Kollmorgen and Optronic. The project has led to continued cooperation in the coming years between the parties involved in order to further develop and improve the automatic storage trucks.

Publications EIS

The publications by ITE researchers registered in DiVA, which is Halmstad University's on-line academic archive for scientific publishing, sorted after type of publication.

  • Article in journal
  • Gholami Shahbandi, Saeed, Magnusson, Martin (2019). 2D Map Alignment With Region Decomposition. Autonomous Robots, 43 (5), s. 1117 - 1136. View detailed record in DiVA link to external website
  • Savas, Süleyman, Ul-Abdin, Zain, Nordström, Tomas (2019). A Framework to Generate Domain-Specific Manycore Architectures from Dataflow Programs. Microprocessors and microsystems. (Submitted) View detailed record in DiVA link to external website
  • Aramrattana, Maytheewat, Larsson, Tony, Jansson, Jonas, Nåbo, Arne (2019). A simulation framework for cooperative intelligent transport systems testing and evaluation. Transportation Research Part F : Traffic Psychology and Behaviour, 61, s. 268 - 280. View detailed record in DiVA link to external website
  • Alonso-Fernandez, Fernando, Farrugia, Reuben A., Bigun, Josef, Fierrez, Julian, Gonzalez-Sosa, Ester (2019). A Survey of Super-Resolution in Iris Biometrics with Evaluation of Dictionary-Learning. IEEE Access, 7, s. 6519 - 6544. View detailed record in DiVA link to external website
  • Pink, Sarah, Fors, Vaike, Glöss, Mareike (2019). Automated futures and the mobile present : In-car video ethnographies. Ethnography, 20 (1), s. 88 - 107. View detailed record in DiVA link to external website
  • Lyamin, Nikita, Vinel, Alexey, Bellalta, Boris (2019). Configuring the Decentralized Congestion Control for ETSI ITS-G5 C-ITS Applications. IEEE Communications Letters. (Submitted) View detailed record in DiVA link to external website
  • Ashfaq, Awais, Lönn, Stefan, Nilsson, Håkan, Eriksson, Jonny, Kwatra, Japneet, Yasin, Zayed, Slutzman, Jonathan, Wallenfeldt, Thomas, Obermeyer, Ziad, Anderson, Philip, Lingman, Markus (2019). Data Profile : Regional Healthcare Information Platform in Halland, Sweden. International Journal of Epidemiology. (Submitted) View detailed record in DiVA link to external website
  • Pink, Sarah, Fors, Vaike, Lindgren, Thomas (2019). Emerging technologies and anticipatory images : Uncertain ways of knowing with automated and connected mobilities. Philosophy of Photography, 9 (2), s. 195 - 216. (In press) View detailed record in DiVA link to external website
  • Krish, Ram P., Fierrez, Julian, Ramos, Daniel, Alonso-Fernandez, Fernando, Bigun, Josef (2019). Improving Automated Latent Fingerprint Identification Using Extended Minutia Types. Information Fusion, 50, s. 9 - 19. View detailed record in DiVA link to external website
  • Ribeiro, Eduardo, Uhl, Andreas, Alonso-Fernandez, Fernando (2019). Iris Super-Resolution using CNNs : is Photo-Realism Important to Iris Recognition?. IET Biometrics, 8 (1), s. 69 - 78. View detailed record in DiVA link to external website
  • Lien, Shao-Yu, Kuo, Yen-Chih, Deng, Der-Jiunn, Tsai, Hua-Lung, Vinel, Alexey, Benslimane, Abderrahim (2019). Latency-Optimal mmWave Radio Access for V2X Supporting Next Generation Driving Use Cases. IEEE Access, 7, s. 6782 - 6795. View detailed record in DiVA link to external website
  • Varshosaz, Mahsa, Luthmann, Lars, Mohr, Paul, Lochau, Malte, Mousavi, Mohammad Reza (2019). Modal Transition System Encoding of Featured Transition Systems. The Journal of logical and algebraic methods in programming. (In press) View detailed record in DiVA link to external website
  • Mostowski, Wojciech (2019). Model-based fault injection for testing gray-box systems. The Journal of logical and algebraic methods in programming, 103, s. 31 - 45. View detailed record in DiVA link to external website
  • Karimi, Mohammad, Heurlin, Magnus, Limpert, Steven, Jain, Vishal, Mansouri, Ebrahim, Zeng, Xulu, Samuelson, Lars, Linke, Heiner, Borgström, Magnus T., Pettersson, Håkan (2019). Nanowire photodetectors with embedded quantum heterostructures for infrared detection. Infrared physics & technology, 96, s. 209 - 212. View detailed record in DiVA link to external website
  • Hylving, Lena, Bygstad, Bendik (2019). Nuanced Responses to Enterprise Architecture Management : Loyalty, Voice, and Exit. Journal of Management Information Systems, 36 (1), s. 14 - 36. View detailed record in DiVA link to external website
  • Ashfaq, Awais, Pinheiro Sant'Anna, Anita, Lingman, Markus, Nowaczyk, Sławomir (2019). Readmission prediction using deep learning on electronic health records. Journal of Biomedical Informatics. (Submitted) View detailed record in DiVA link to external website
  • Lyamin, Nikita, Kleyko, Denis, Delooz, Quentin, Vinel, Alexey (2019). Real-time jamming DoS detection in safety-critical V2V C-ITS using data mining. IEEE Communications Letters, 23 (3), s. 442 - 445. View detailed record in DiVA link to external website
  • Mashad Nemati, Hassan, Pinheiro Sant'Anna, Anita, Nowaczyk, Sławomir, Jürgensen, Jan Henning, Hilber, Patrik (2019). Reliability Evaluation of Power Cables Considering the Restoration Characteristic. International Journal of Electrical Power & Energy Systems, 105, s. 622 - 631. View detailed record in DiVA link to external website
  • Blom, Mathias, Ashfaq, Awais, Pinheiro Sant'Anna, Anita, Lingman, Markus (2019). Training machine learning models to predict 30-day mortality in patients discharged from the Emergency Department. BMJ Open. (Submitted) View detailed record in DiVA link to external website
  • Lund, Jesper, Ebbesson, Esbjörn (2019). Understanding Digital Innovation from a Layered Architectural Perspective. Technology Innovation Management Review, 9 (2), s. 51 - 63. View detailed record in DiVA link to external website
  • Lindberg, Susanne, Jormfeldt, Henrika, Bergquist, Magnus (2019). Unlocking design potential : Design with people diagnosed with schizophrenia. Informatics for Health and Social Care, 44 (1), s. 31 - 47. View detailed record in DiVA link to external website
  • Vedder, Benjamin, Vinter, Jonny, Jonsson, Magnus (2018). A Low-Cost Model Vehicle Testbed with Accurate Positioning for Autonomous Driving. Journal of Robotics, 2018. View detailed record in DiVA link to external website
  • He, Debiao, Kumar, Neeraj, Wang, Huaqun, Wang, Lina, Raymond Choo, Kim-Kwang, Vinel, Alexey (2018). A Provably-Secure Cross-Domain Handshake Scheme with Symptoms-Matching for Mobile Healthcare Social Network. IEEE Transactions on Dependable and Secure Computing, 15 (4), s. 633 - 645. View detailed record in DiVA link to external website
  • Bouguelia, Mohamed-Rafik, Nowaczyk, Sławomir, Santosh, K. C., Verikas, Antanas (2018). Agreeing to disagree : active learning with noisy labels without crowdsourcing. International Journal of Machine Learning and Cybernetics, 9 (8), s. 1307 - 1319. View detailed record in DiVA link to external website
  • Lyamin, Nikita, Kleyko, Denis, Delooz, Quentin, Vinel, Alexey (2018). AI-Based Malicious Network Traffic Detection in VANETs. IEEE Network, 32 (6), s. 15 - 21. View detailed record in DiVA link to external website
  • Åkesson, Maria, Sörensen, Carsten, Ihlström Eriksson, Carina (2018). Ambidexterity under digitalization : A tale of two decades of new media at a Swedish newspaper. Scandinavian Journal of Management, 34 (3), s. 276 - 288. View detailed record in DiVA link to external website
  • Bouguelia, Mohamed-Rafik, Nowaczyk, Sławomir, Payberah, Amir H. (2018). An adaptive algorithm for anomaly and novelty detection in evolving data streams. Data mining and knowledge discovery, 32 (6), s. 1597 - 1633. View detailed record in DiVA link to external website
  • Díez Rodríguez, Victor, Detournay, Jérôme, Vinel, Alexey, Lyamin, Nikita (2018). An Approach for Receiver-Side Awareness Control in Vehicular Ad Hoc Networks. IEEE transactions on intelligent transportation systems (Print), 19 (4), s. 1227 - 1236. View detailed record in DiVA link to external website
  • Lopez-Rojas, Edgar, Axelsson, Stefan, Baca, Dejan (2018). Analysis of fraud controls using the PaySim financial simulator. International Journal of Simulation and Process Modelling, 13 (4), s. 377 - 386. View detailed record in DiVA link to external website
  • Ericson, Stefan K., Åstrand, Björn (2018). Analysis of two visual odometry systems for use in an agricultural field environment. Biosystems Engineering, 166, s. 116 - 125. View detailed record in DiVA link to external website
  • Smylie, M. P., Willa, K., Bao, J. -K, Ryan, K., Islam, Z., Claus, H., Simsek, Y., Diao, Zhu, Rydh, A., Koshelev, A. E., Kwok, W. -K, Chung, D. Y., Kanatzidis, M. G., Welp, U. (2018). Anisotropic superconductivity and magnetism in single-crystal RbEuFe4As4. Physical Review B, 98 (10). View detailed record in DiVA link to external website
  • Chapter in book
  • Alonso-Fernandez, Fernando, Farrugia, Reuben A., Fierrez, Julian, Bigun, Josef (2019). Super-Resolution for Selfie Biometrics: Introduction and Application to Face and Iris. Selfie Biometrics. Springer. . View detailed record in DiVA link to external website
  • Duracz, Adam, Moggi, Eugenio, Taha, Walid, Lin, Zhenchao (2018). A Semantic Account of Rigorous Simulation. Principles of Modeling : Essays Dedicated to Edward A. Lee on the Occasion of His 60th Birthday. Springer Berlin/Heidelberg, Amsterdam. S. 223 - 239. View detailed record in DiVA link to external website
  • Conference paper
  • Savas, Süleyman, Ul-Abdin, Zain, Nordström, Tomas (2019). A Configurable Two Dimensional Mesh Network-on-Chip Implementation in Chisel. . View detailed record in DiVA link to external website
  • Varshosaz, Mahsa, Mousavi, Mohammad Reza (2019). Comparative Expressiveness of Product Line Calculus of Communicating Systems and 1-Selecting Modal Transition Systems. SOFSEM 2019 : Theory and Practice of Computer Science. S. 490 - 503. View detailed record in DiVA link to external website
  • Ribeiro, Eduardo, Uhl, Andreas, Alonso-Fernandez, Fernando (2019). Super-Resolution and Image Re-Projection for Iris Recognition. . View detailed record in DiVA link to external website
  • Dulce, Goncalves (2019). The Influence of Cultural Values on Organizational Agility. <em>Twenty-fifth Americas Conference on Information Systems, Cancun, August 15-17, 2019.</em>. View detailed record in DiVA link to external website
  • Savas, Süleyman, Yassin, Atwa, Nordström, Tomas, Ul-Abdin, Zain (2019). Using Harmonized Parabolic Synthesis to Implement a Single-Precision Floating-Point SquareRoot Unit. . View detailed record in DiVA link to external website
  • Varshosaz, Mahsa, Al-Hajjaji, Mustafa, Thüm, Thomas, Runge, Tobias, Mousavi, Mohammad Reza, Schaefer, Ina (2018). A classification of product sampling for software product lines. SPLC '18 Proceedings of the 22nd International Systems and Software Product Line Conference - Volume 1. S. 1 - 13. View detailed record in DiVA link to external website
  • Osz, Katalin, Raats, Kaspar, Lindgren, Thomas, Rothmüller, Markus, Rasmussen, Pernille Holm, Vendelbo-Larsen, Alexandra (2018). A design anthropology approach to experiential futures and autonomous driving. PDC '18 Proceedings of the 15th Participatory Design Conference: Short Papers, Situated Actions, Workshops and Tutorial - Volume 2. View detailed record in DiVA link to external website
  • Vedder, Benjamin, Vinter, Jonny, Jonsson, Magnus (2018). Accurate positioning of bicycles for improved safety. 2018 IEEE International Conference on Consumer Electronics (ICCE). View detailed record in DiVA link to external website
  • Varytimidis, Dimitrios, Alonso-Fernandez, Fernando, Englund, Cristofer, Duran, Boris (2018). Action and intention recognition of pedestrians in urban traffic. 2018 14th International Conference on Signal-Image Technology &amp; Internet-Based Systems (SITIS). S. 676 - 682. View detailed record in DiVA link to external website
  • Menezes, Maria Luiza Recena, Pinheiro Sant'Anna, Anita, Pavel, Misha, Jimison, Holly, Alonso-Fernandez, Fernando (2018). Affective Ambient Intelligence : from Domotics to Ambient Intelligence. A2IC 2018: Artificial Intelligence International Conference : Book of Abstract. S. 25 - 25. View detailed record in DiVA link to external website
  • Hagström, A. L., Vass, L.A.M., Liu, F., Gerling, M., Karlsson, P-O, Nilsson, Emil, Andreasson, Björn Pererik (2018). An iterative approach to determine the refractive index of 3D printed 60GHz PLA lenses. Proceedings of the 14th Loughborough Antennas and Propagation Conference (LAPC 2018). View detailed record in DiVA link to external website
  • Doctoral thesis, comprehensive summary
  • Mashad Nemati, Hassan, (2019). Data analytics for weak spot detection in power distribution grids. Diss. (sammanfattning). Halmstad : Halmstad University Press, 2019. View detailed record in DiVA link to external website [ Download fulltex ]
  • Savas, Süleyman, (2019). Hardware/Software Co-Design of Heterogeneous Manycore Architectures. Diss. (sammanfattning). Halmstad : Halmstad University Press, 2019. View detailed record in DiVA link to external website [ Download fulltex ]
  • Varshosaz, Mahsa, (2019). Modeling and Model-Based Testing of Software Product Lines. Diss. (sammanfattning). Halmstad : Halmstad University Press, 2019. View detailed record in DiVA link to external website [ Download fulltex ]
  • Lyamin, Nikita, (2019). Performance evaluation of safety critical ITS-G5 V2V communications for cooperative driving applications. Diss. (sammanfattning). Halmstad : Halmstad University Press, 2019. View detailed record in DiVA link to external website [ Download fulltex ]
  • Aramrattana, Maytheewat, (2018). A Simulation-Based Safety Analysis of CACC-Enabled Highway Platooning. Diss. (sammanfattning). Halmstad : Halmstad University Press, 2018. View detailed record in DiVA link to external website [ Download fulltex ]
  • Licentiate thesis, comprehensive summary
  • Ashfaq, Awais, (2019). Predicting clinical outcomes via machine learning on electronic health records. Lic.-avh. (sammanfattning). Halmstad : Halmstad University Press, 2019. View detailed record in DiVA link to external website [ Download fulltex ]

updated

2019-04-23

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