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 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.

The latest research news from EIS

Robots that understand, learn and imitate humans

Self tracking apps affect us – and we affect the apps with improvisation and fiddling

Personalised digital intervention to battle high blood pressure

Social byggnorm – how architecture and social relations affect each other

Human-centred design – a new guide for architects

Anita’s company wants to forge the link between researchers and facts

Eight new projects within Research for innovation

Students create smart heat pump

Research for more efficient sustainable heating

User-centred and sustainable technology development – several new multidisciplinary future mobility research projectsexternal link

Strong development of Halmstad University’s research

Local businesses implement AI with help from University researchers

Successful research venture within AI

Halmstad University releases podcast course about AI

3D printing with moon dust

Using AI to individualise care for heart patients in Halland

Halmstad University starts a new collaborative research project with Volvo Group for more efficient electromobility

Adapting new city districts for autonomous vehicles through EU funded research

How can we better manage all collected data?

International cross collaboration to help dementia patients

Victory in research competition for quality assurance of patient data

Research for fewer power outages

New testing techniques for safer software development

Working towards safer roads

Halmstad University gives courses in cyber security for other universities

Testing complex autonomous systems

Human interaction with intelligent vehicles – how do we react and when is it dangerous?

Halmstad University team wins Volvo hackathon

A human approach to designing future cities and intelligent cars

Technology Area Aware Intelligent 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.

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. Photo.

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.

About artificial intelligence

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.

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

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

Esbjörn Ebbesson

Lecturer

Vaike Fors

Senior Lecturer

Ahmad Ghazawneh

Senior Lecturer

Dimitrios Gkouskos

Associate Senior Lecturer

Dulce Goncalves

Industrial PhD student at Combitech

Jesper Hakeröd

Lecturer

Lena Hylvingexternal link

Associate Senior Lecturer

Lars-Olof Johansson

Lecturer

Susanne Lindberg

Associate Senior Lecturer

Thomas Lindgren

Industrial PhD student at Volvo Cars

Mats Lindqvistexternal link

Lecturer

Jesper Lund

Senior Lecturer

Kaspar Raatsexternal link

Industrial PhD student at Volvo Cars

Christer Rehnström

Lecturer

Carsten Sörensen

Visiting Professor

Michel Thomsen

Senior Lecturer

Torben Svaneexternal link

Senior Lecturer

Oliver Webergexternal link

Teaching assistant

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.

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

Close-up of a microchip. Photo.

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.

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. Photo/illustration.

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.

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:

CAISR Partners

  • Affecto Sweden
  • AI Innovation of Sweden
  • Alfa Laval
  • CGI
  • EasyServ Sweden
  • European DLB Consortium
  • FacePhi Biometria Ltd.
  • Getinge
  • Halmstad municipality
  • HEM (Halmstad Energi och Miljö)
  • High Five
  • HMS Industrial Networks
  • HotSwap Norden
  • Karolinska Institute
  • Linköping University Hospital
  • Lund University
  • NEAT Electronics
  • Novartis
  • Region Halland
  • Region Skåne
  • RISE (Research Institutes of Sweden)
  • SKR (Swedish Association of Local Authorities and Regions) Stena Recycling
  • Sydpumpen
  • Tappa Service
  • Toyota Material Handling Europe
  • Viscando
  • Volvo Technology / Volvo Group Trucks Technology
  • Volvo Bus Corporation
  • Volvo Group Connected Solutions
  • Volvo Trucks Corporation
  • Öresundskraft

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

Bus driving through a city center
Woman in a hospital bed

Publications EIS

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

  • Article in journal
  • Cohen, Tom, Stilgoe, Jack, Stares, Sally, Akyelken, Nihan, Cavoli, Clemence, Day, Jennie, Dickinson, Janet, Fors, Vaike, Hopkins, Debbie, Lyons, Glenn, Marres, Noortje, Newman, Jonathan, Reardon, Louise, Sipe, Neil, Tennant, Chris, Wadud, Zia, Wigley, Edward (2020). A constructive role for social science in the development of automated vehicles. Transport Research Interdisciplinary Perspectives, 6. View detailed record in DiVA link to external website
  • Savas, Süleyman, Ul-Abdin, Zain, Nordström, Tomas (2020). A Framework to Generate Domain-Specific Manycore Architectures from Dataflow Programs. Microprocessors and microsystems, 72. View detailed record in DiVA link to external website
  • Rabbani, Mahdi, Wang, Young Li, Khoshkangini, Reza, Jelodar, Hamed, Zhao, Ruxin, Hu, Peng (2020). A Hybrid Machine Learning Approach for Malicious Behaviour Detection and Recognition in Cloud Computing. Journal of Network and Computer Applications, 151. View detailed record in DiVA link to external website
  • Lyamin, Nikita, Bellalta, Boris, Vinel, Alexey (2020). Age-of-Information-Aware Decentralized Congestion Control in VANETs. IEEE Networking Letters, 2 (1), s. 33 - 37. View detailed record in DiVA link to external website
  • Järpe, Eric (2020). An alternative Diffie-Hellman protocol. Cryptography, 4 (1). View detailed record in DiVA link to external website
  • Lindgren, Thomas, Fors, Vaike, Pink, Sarah, Osz, Katalin (2020). Anticipatory experience in everyday autonomous driving. Personal and Ubiquitous Computing. View detailed record in DiVA link to external website
  • Vedder, Benjamin, Svensson, Bo Joel, Vinter, Jonny, Jonsson, Magnus (2020). Automated Testing of Ultrawideband Positioning for Autonomous Driving. Journal of Robotics, 2020. View detailed record in DiVA link to external website
  • Pelliccione, Patrizio, Knauss, Eric, Ågren, S. Magnus, Heldal, Rogardt, Bergenhem, Carl, Vinel, Alexey, Brunnegård, Oliver (2020). Beyond connected cars : A systems of systems perspective. Science of Computer Programming, 191. View detailed record in DiVA link to external website
  • Ortiz-Barrios, Miguel Angel, Lundström, Jens, Synnott, Jonathan, Järpe, Eric, Pinheiro Sant'Anna, Anita (2020). Complementing real datasets with simulated data : a regression-based approach. Multimedia tools and applications. View detailed record in DiVA link to external website
  • Polymeri, E., Sadik, M., Kaboteh, R., Borrelli, P., Enqvist, O., Ulén, J., Ohlsson, Mattias, Trägårdh, E., Poulsen, M. H., Simonsen, J. A., Hoilund-Carlsen, P. F., Johnsson, ÅA., Edenbrandt, L. (2020). Deep learning-based quantification of PET/CT prostate gland uptake : association with overall survival. Clinical Physiology and Functional Imaging, 40 (2), s. 106 - 113. View detailed record in DiVA link to external website
  • Pink, Sarah, Osz, Katalin, Raats, Kaspar, Lindgren, Thomas, Fors, Vaike (2020). Design anthropology for emerging technologies : Trust and sharing in autonomous driving futures. Design Studies. (In press) View detailed record in DiVA link to external website
  • Karresand, M., Axelsson, Stefan, Dyrkolbotn, G. O. (2020). Disk Cluster Allocation Behavior in Windows and NTFS. Mobile Networks and Applications , 5 (1), s. 248 - 258. View detailed record in DiVA link to external website
  • Ali Hamad, Rebeen (2020). Efficacy of Imbalanced Data Handling Methods on Deep Learning for Smart Homes Environments. SN Computer Science. View detailed record in DiVA link to external website
  • Ali Hamad, Rebeen, Salguero Hidalgo, Alberto, Bouguelia, Mohamed-Rafik, Estevez, Macarena Espinilla, Quero, Javier Medina (2020). Efficient Activity Recognition in Smart Homes Using Delayed Fuzzy Temporal Windows on Binary Sensors. IEEE journal of biomedical and health informatics, 24 (2), s. 387 - 395. View detailed record in DiVA link to external website
  • Amoozegar, Maryam, Minaei-Bidgoli, Behrouz, Mansoor, Rezghi, Fanaee Tork, Hadi (2020). Extra-adaptive robust online subspace tracker for anomaly detection from streaming networks. Engineering applications of artificial intelligence, 94. View detailed record in DiVA link to external website
  • Viteckova, Slavka, Khandelwal, Siddhartha, Kutilek, Patrik, Krupicka, Radim, Szabo, Zoltan (2020). Gait symmetry methods : Comparison of waveform-based Methods and recommendation for use. Biomedical Signal Processing and Control, 55. View detailed record in DiVA link to external website
  • Gidlund, M., Hancke, G. P., Eldefrawy, M. H., Åkerberg, J. (2020). Guest Editorial : Security, Privacy, and Trust for Industrial Internet of Things. IEEE Transactions on Industrial Informatics, 16 (1), s. 625 - 628. View detailed record in DiVA link to external website
  • Markdahl, J., Thunberg, Johan, Goncalves, J. (2020). High-dimensional Kuramoto models on Stiefel manifolds synchronize complex networks almost globally. Automatica, 113. View detailed record in DiVA link to external website
  • Bae, Juhee, Helldin, Tove, Riveiro, Maria, Nowaczyk, Sławomir, Bouguelia, Mohamed-Rafik, Falkman, Göran (2020). Interactive Clustering : A Comprehensive Review. ACM Computing Surveys, 53 (1). View detailed record in DiVA link to external website
  • Farouq, Shiraz, Byttner, Stefan, Bouguelia, Mohamed-Rafik, Nord, Natasa, Gadd, Henrik (2020). Large-scale monitoring of operationally diverse district heating substations : A reference-group based approach. Engineering applications of artificial intelligence, 90. View detailed record in DiVA link to external website
  • Calikus, Ece, Nowaczyk, Sławomir, Pinheiro Sant'Anna, Anita, Dikmen, Onur (2020). No Free Lunch But A Cheaper Supper : A General Framework for Streaming Anomaly Detection. Expert systems with applications. (Submitted) View detailed record in DiVA link to external website
  • Galozy, Alexander, Nowaczyk, Sławomir, Pinheiro Sant'Anna, Anita, Ohlsson, Mattias, Lingman, Markus (2020). Pitfalls of medication adherence approximation through EHR and pharmacy records : Definitions, data and computation. International Journal of Medical Informatics, 136. View detailed record in DiVA link to external website
  • Yasin, Zayed M, Anderson, Philip D, Lingman, Markus, Kwatra, Japneet, Ashfaq, Awais, Slutzman, Jonathan E, Agvall, Björn (2020). Receiving care according to national heart failure guidelines is associated with lower total costs – an observational study in Region Halland, Sweden. European Heart Journal - Quality of Care and Clinical Outcomes. (Accepted) View detailed record in DiVA link to external website
  • Rezk, Nesma, Purnaprajna, Madhura, Nordström, Tomas, Ul-Abdin, Zain (2020). Recurrent Neural Networks : An Embedded Computing Perspective. IEEE Access, 8, s. 57967 - 57996. View detailed record in DiVA link to external website
  • Ortíz-Barrios, Miguel Angel, Cleland, Ian, Nugent, Chris, Pancardo, Pablo, Järpe, Eric, Synnott, Jonathan (2020). Simulated Data to Estimate Real Sensor Events—A Poisson-Regression-Based Modelling. Remote Sensing, 12 (5). View detailed record in DiVA link to external website
  • Ullah, Sami, Daud, Hanita, Dass, Sarat C., Fanaee Tork, Hadi, Kausarian, Husnul, Khalil, Alamgir (2020). Space-Time Clustering Characteristics of Tuberculosis in Khyber Pakhtunkhwa Province, Pakistan, 2015–2019. International Journal of Environmental Research and Public Health, 17 (4). View detailed record in DiVA link to external website
  • Vinel, Alexey (2020). Spherical Wave Array Based Positioning for Vehicular Scenarios. IEEE Access. View detailed record in DiVA link to external website
  • Sheikholharam Mashhadi, Peyman, Nowaczyk, Sławomir, Pashami, Sepideh (2020). Stacked Ensemble of Recurrent Neural Networks for Predicting Turbocharger Remaining Useful Life. Applied Sciences, 10 (1). View detailed record in DiVA link to external website
  • Jam, Reza Jafari, Persson, Axel R., Barrigon, Enrique, Heurlin, Magnus, Geijselaers, Irene, Gomez, Victor J., Hultin, Olof, Samuelson, Lars, Borgstrom, Magnus T., Pettersson, Håkan (2020). Template-assisted vapour-liquid-solid growth of InP nanowires on (001) InP and Si substrates. Nanoscale, 12 (2), s. 888 - 894. View detailed record in DiVA link to external website
  • Miyasaka, Hiroyuki, Kondo, Izumi, Yamamura, Chihiro, Fujita, Naoko, Orand, Abbas, Sonoda, Shigeru (2020). The quantification of task-difficulty of upper limb motor function skill based on Rasch analysis. Topics in Stroke Rehabilitation, 27 (1), s. 49 - 56. View detailed record in DiVA link to external website
  • Ni, Yuanzhi, Cai, Lin, He, Jianping, Vinel, Alexey, Li, Yue, Mosavat-Jahromi, Hamed, Pan, Jianping (2020). Toward Reliable and Scalable Internet-of-Vehicles : Performance Analysis and Resource Management. Proceedings of the IEEE, 108 (2), s. 324 - 340. View detailed record in DiVA link to external website
  • 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
  • Friel, Ross, Gerling-Gedin, Maria, Nilsson, Emil, Andreasson, Björn Pererik (2019). 3D Printed Radar Lenses with Anti-Reflective Structures. Designs, 33 (22). View detailed record in DiVA link to external website
  • Calikus, Ece, Nowaczyk, Sławomir, Pinheiro Sant'Anna, Anita, Gadd, Henrik, Werner, Sven (2019). A data-driven approach for discovering heat load patterns in district heating. Applied Energy, 252. View detailed record in DiVA link to external website
  • Khan, Taha, Lundgren, Lina, Järpe, Eric, Olsson, M. Charlotte, Wiberg, Pelle (2019). A Novel Method for Classification of Running Fatigue Using Change-Point Segmentation. Sensors, 19 (21). View detailed record in DiVA link to external website
  • Conference paper
  • Tkauc, Nathalie, Tran, Thao, Hernandez-Diaz, Kevin, Alonso-Fernandez, Fernando (2020). Cloud-Based Face and Speech Recognition for Access Control Applications. . View detailed record in DiVA link to external website
  • Soliman, Amira, Girdzijauskas, Sarunas, Bouguelia, Mohamed-Rafik, Pashami, Sepideh, Nowaczyk, Sławomir (2020). Decentralized and Adaptive K-Means Clustering for Non-IID Data using HyperLogLog Counters. . View detailed record in DiVA link to external website
  • Nilsson, Felix, Jakobsen, Jens, Alonso-Fernandez, Fernando (2020). Detection and Classification of Industrial SignalLights for Factory Floors. . View detailed record in DiVA link to external website
  • Hylving, Lena (2020). Exploring Phronesis in Digital Innovation. . View detailed record in DiVA link to external website
  • Belvisi, Nicole Mariah Sharon, Muhammad, Naveed, Alonso-Fernandez, Fernando (2020). Forensic Authorship Analysis of Microblogging Texts Using N -Grams and Stylometric Features. . View detailed record in DiVA link to external website
  • Vinel, Alexey (2020). GNSS Aided Non-Line-of-Sight Radio Localization via Dual Polarized Arrays. . View detailed record in DiVA link to external website
  • Marinho, Marco A. M., Antreich, Felix, Vinel, Alexey, Tufvesson, Fredrik, Atif Yaqoob, Muhammad (2020). Non-Line-of-Sight Based Radio Localization With Dual-Polarization Antenna Arrays. WSA 2020; 24th International ITG Workshop on Smart Antennas. View detailed record in DiVA link to external website
  • Åkesson, Maria, Thomsen, Michel (2020). RPA in service of bureaucracy – when bots are colleagues in everyday public administration. Proceedings of SWEG 2020. View detailed record in DiVA link to external website
  • Dahl, Oskar, Johansson, Fredrik, Khoshkangini, Reza, Pashami, Sepideh, Nowaczyk, Sławomir, Pihl, Claes (2020). Understanding Association Between Logged Vehicle Data and Vehicle Marketing Parameters - Using Clustering and Rule-Based Machine Learning. . View detailed record in DiVA link to external website
  • Doctoral thesis, comprehensive summary
  • Fan, Yuantao, (2020). Wisdom of the Crowd for Fault Detection and Prognosis. Diss. (sammanfattning). Halmstad : Halmstad University Press, 2020. View detailed record in DiVA link to external website [ Download fulltex ]
  • Licentiate thesis, comprehensive summary
  • Rezk, Nesma, (2020). Exploring Efficient Implementations of Deep Learning Applications on Embedded Platforms. Lic.-avh. (sammanfattning). Halmstad : Halmstad University Press, 2020. View detailed record in DiVA link to external website [ Download fulltex ]
  • Calikus, Ece, (2020). Self-Monitoring using Joint Human-Machine Learning : Algorithms and Applications. Lic.-avh. (sammanfattning). Halmstad : Halmstad University Press, 2020. View detailed record in DiVA link to external website [ Download fulltex ]
  • Other
  • (2020). CAISR Center for Applied Intelligent Systems Research : Annual Report 2019. , Halmstad. 63 s. . View detailed record in DiVA link to external website [ Download fulltex ]
  • (2020). Profile Area Smart Cities and Communities : 2019 Annual Report. , Halmstad. 31 s. . View detailed record in DiVA link to external website [ Download fulltex ]
  • 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

Research projects within EIS

The following research projects are currently ongoing within the research environment Embedded and Intelligent Systems (EIS) at the School of Information Technology (ITE).

Technology Area Aware Intelligent Systems

Technology Area Digital Service Innovation

Technology Area Smart Electronics Systems

Technology Area System of Cyber Physical Systems

Dissertations at EIS

The following doctoral and licentiate theses have been published within the research environment Embedded and Intelligent Systems (EIS):

Khandelwal, Siddhartha
2018
Gholami Shahbandi, Saeed
2016
Parsapoor, Mahboobeh
2014

updated

2020-03-31

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