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Research at the School of Information Technology

Research at the School of Information Technology (ITE) contributes to solutions of societal challenges within the University’s focus areas Health Innovation and Smart Cities and Communities.

About ITE’s research

At the School of Information Technology (ITE), 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 ITE.

The school's researchers are part of the following research programmes

LeaDS – Learning in a Digitalised Society

Research news from the School of Information Technology

News articles about ITE research

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.

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

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 innovation centre Leap for Life, the industrial research centre Health Data Centre, the lab Halmstad Intelligent Home and the Center for Applied Intelligent Systems Research.

Leap for Life

Health Data Centre

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 blog External 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 External link.

Associate Senior Lecturer

Dulce Goncalves

Industrial PhD student at Combitech

Jesper Hakeröd

Lecturer

Lena Hylving

Associate Senior Lecturer

Lars-Olof Johansson

Lecturer

Susanne Lindberg

Associate Senior Lecturer

Thomas Lindgren

Industrial PhD student at Volvo Cars

Mats Lindqvist

Lecturer

Jesper Lund

Senior Lecturer

Kaspar Raats

Industrial PhD student at Volvo Cars

Christer Rehnström

Lecturer

Michel Thomsen

Senior Lecturer

Torben Svane

Senior Lecturer

Oliver Weberg

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 pages External link.

Halmstad University contributes to in ELLIIT in the following way:

ELLIIT Professorships

  • Walid Taha

Research by Halmstad University within ELLIT

Center for Applied Intelligent Systems Research (CAISR)

The Center for Applied Intelligent Systems Research (CAISR), is a research and education center for AI at Halmstad University. The center 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 the research profile CAISR Health, the industrial research centre Health Data Centre, the innovation centre Leap for Life, the lab Halmstad Intelligent Home and Technology Area Aware Intelligent Systems:

CAISR Partners

  • Affecto Sweden
  • AI Sweden
  • Air Liquide
  • Alfa Laval
  • Berkeley University
  • Chicago University
  • CGI
  • Cubist
  • EasyServ Sweden
  • Essity
  • European DLB Consortium
  • FacePhi Biometria Ltd.
  • Getinge
  • Hallandia V
  • Halland municipalities (Falkenberg, Halmstad, Hylte, Kungsbacka and Varberg)
  • Harvard Medical School
  • HEM (Halmstad Energi och Miljö)
  • High Five
  • HMS Industrial Networks
  • HotSwap Norden
  • Karolinska Institute
  • Linköping University Hospital
  • Lund University
  • NEAT Electronics
  • Novartis
  • Novo Nordisk
  • Region Halland
  • Region Skåne
  • Region Stockholm
  • Region Västra Götaland
  • Region Örebro län
  • RISE (Research Institutes of Sweden)
  • Sahlgrenska at Gothenburg University
  • SKR (Swedish Association of Local Authorities and Regions)
  • Stena Recycling
  • Sydpumpen
  • Takeda
  • Tappa Service
  • Toyota Material Handling
  • Viscando
  • Volvo Technology / Volvo Group Trucks Technology
  • Volvo Bus Corporation
  • Volvo Group Connected Solutions
  • Volvo Trucks Corporation
  • Öresundskraft

With support from the Knowledge Foundation External 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: information driven care and intelligent vehicles & predictive maintenance

Links to articles about CAISR researchers and research projects can be found under ’Articles’ below. The research projects are also described on CAISR’s wiki pages:

Research projects at CAISR, wikipage External link.

Articles

Scientific articles published by CAISR researchers are collected under:

Publications CAISR

Articles about CAISR researchers:

Articles about CAISR research projects:

Woman in a hospital bed
Bus driving through a city center
An image of the cover of CAISR annual report 2020.

CAISR Health

CAISR Health is a research profile within information driven care at Halmstad University, where research on the development of AI tools meet research on how these tools can be implemented in healthcare.

CAISR Health is a cross disciplinary research profile, gathering research from two Schools at Halmstad University. The research is carried out in close collaboration with Region Halland and Swedish companies. The abbreviation CAISR stands for Center for Applied Intelligent Systems Research which is a research center at Halmstad University that is strongly connected to the profile.

About CAISR Health

Gruppbild av nio forskare som står i en trappa. Foto.

Organisation & collaboration

En mängd människor som går över ett övergångsställe sett uppifrån.
Nine company logotypes

CAISR Health partners.

Publications ITE

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

  • Article, review/survey
  • Soto, Ignacio; Calderon, Maria; Amador Molina, Oscar; Urueña, Manuel (2022).
    A survey on road safety and traffic efficiency vehicular applications based on C-V2X technologies. Vehicular Communications, 33.

    View record in DiVA DOI: 10.1016/j.vehcom.2021.100428

  • Rabbani, Mahdi; Wang, Yongli; Khoshkangini, Reza; Jelodar, Hamed; Zhao, Ruxin; Bagheri Baba Ahmadi, Sajjad; Ayobi, Seyedvalyallah (2021).
    A Review on Machine Learning Approaches for Network Malicious Behavior Detection in Emerging Technologies. Entropy, 23 (5).

    View record in DiVA DOI: 10.3390/e23050529

  • Article in journal
  • Etminani, Kobra; Soliman, Amira; Byttner, Stefan; Miguel, Ochoa-Figueroa (2022).
    A 3D deep learning model to predict the diagnosis of dementia with Lewy bodies, Alzheimer’s disease, and mild cognitive impairment using brain 18F-FDG PET. European Journal of Nuclear Medicine and Molecular Imaging, 49 (2), pp. 563 - 584.

    View record in DiVA DOI: 10.1007/s00259-021-05483-0

  • Aramrattana, Maytheewat; Larsson, Tony; Englund, Cristofer; Jansson, Jonas; Nåbo, Arne (2022).
    A Simulation Study on Effects of Platooning Gaps on Drivers of Conventional Vehicles in Highway Merging Situations. IEEE transactions on intelligent transportation systems (Print), 23 (4), pp. 3790 - 3796.

    View record in DiVA DOI: 10.1109/TITS.2020.3040085

  • Ågerfalk, Pär J.; Axelsson, Karin; Bergquist, Magnus (2022).
    Addressing climate change through stakeholder-centric information systems research : A Scandinavian approach for the masses. International Journal of Information Management, 63.

    View record in DiVA DOI: 10.1016/j.ijinfomgt.2021.102447

  • Ullah, Sami; Hidayah Mohd Nor, Nurul; Daud, Hanita; Zainuddin, Nooraini; Fanaee Tork, Hadi; Khalil, Alamgir (2022).
    An Eigenspace Method for Detecting Space-Time Disease Clusters with Unknown Population-Data. Computers, Materials & Continua, 70 (1), pp. 1945 - 1953.

    View record in DiVA DOI: 10.32604/cmc.2022.019029

  • Sarmadi, Hamid; Nowaczyk, Sławomir; Prytz, Rune; Simão, Miguel (2022).
    Attention Horizon as a Predictor for the Fuel Consumption Rate of Drivers. Sensors, 22 (6).

    View record in DiVA DOI: 10.3390/s22062301

  • Monaghan, T.; Harding, M. J.; Christie, S. D. R.; Harris, R. A.; Friel, R. J. (2022).
    Complementary catalysis and analysis within solid state additively manufactured metal micro flow reactors. Scientific Reports, 12.

    View record in DiVA DOI: 10.1038/s41598-022-09044-9

  • Alonso-Fernandez, Fernando; Raja, Kiran B.; Raghavendra, R.; Busch, Christoph; Bigun, Josef; Vera-Rodriguez, Ruben; Fierrez, Julian (2022).
    Cross-sensor periocular biometrics in a global pandemic : Comparative benchmark and novel multialgorithmic approach. Information Fusion, 83-84, pp. 110 - 130.

    View record in DiVA DOI: 10.1016/j.inffus.2022.03.008

  • Ashfaq, Awais; Lingman, Markus; Sensoy, Murat; Nowaczyk, Sławomir (2022).
    DEED : DEep Evidential Doctor. . (Submitted)

    View record in DiVA

  • Nilsson, Pernilla; Lund, Jesper (2022).
    Design for learning – involving teachers in digital didactic design (D3). Interactive Technology and Smart Education, ahead-of-print (ahead-of-print).

    View record in DiVA DOI: 10.1108/itse-08-2021-0143

  • Wibring, Kristoffer; Lingman, Markus; Herlitz, Johan; Ashfaq, Awais; Bång, Angela (2022).
    Development of a prehospital prediction model for risk stratification of patients with chest pain. American Journal of Emergency Medicine, 51, pp. 26 - 31.

    View record in DiVA DOI: 10.1016/j.ajem.2021.09.079

  • Sidorenko, Galina; Plöger, Daniel; Thunberg, Johan; Vinel, Alexey (2022).
    Emergency braking with ACC : how much does V2V communication help. IEEE Networking Letters. (Submitted)

    View record in DiVA

  • Hylving, Lena; Lindberg, Susanne (2022).
    Ethical Dilemmas and Big Data : The Case of the Swedish Transport Administration. International Journal of Knowledge Management, 18 (1).

    View record in DiVA DOI: 10.4018/ijkm.290021

  • Fabricius, Victor; Habibovic, Azra; Rizgary, Daban; Andersson, Jonas; Wärnestål, Pontus (2022).
    Interactions Between Heavy Trucks and Vulnerable Road Users – A Systematic Review to Inform the Interactive Capabilities of Highly Automated Trucks. Frontiers in Robotics and AI, 9.

    View record in DiVA DOI: 10.3389/frobt.2022.818019

  • De Lauretis, Maria; Haller, Elena; Di Murro, Francesca; Romano, Daniele; Antonini, Giulio; Ekman, Jonas; Kovačević-Badstübner, Ivana; Grossner, Ulrike (2022).
    On the rectangular mesh and the decomposition of a Green's-function-based quadruple integral into elementary integrals. Engineering analysis with boundary elements, 134, pp. 419 - 434.

    View record in DiVA DOI: 10.1016/j.enganabound.2021.09.029

  • Lin, Chun-Cheng; Vinel, Alexey (2022).
    Recent Internet of Things Applications in Smart Grid and Various Industries. Mobile Networks and Applications, 27, pp. 139 - 140.

    View record in DiVA DOI: 10.1007/s11036-020-01651-y

  • Sidorenko, Galina; Thunberg, Johan; Sjöberg, Katrin; Fedorov, Aleksei; Vinel, Alexey (2022).
    Safety of Automatic Emergency Braking in Platooning. IEEE Transactions on Vehicular Technology, 71 (3), pp. 2319 - 2332.

    View record in DiVA DOI: 10.1109/tvt.2021.3138939

  • Rezk, Nesma M.; Nordström, Tomas; Ul-Abdin, Zain (2022).
    Shrink and Eliminate : A Study of Post-Training Quantization and Repeated Operations Elimination in RNN Models. Information, 13 (4).

    View record in DiVA DOI: 10.3390/info13040176

  • Salahvarzi, Arash; Khosroanjam, Mohsen; Monazzah, Amir Mahdi Hosseini; Beitollahi, Hakem; Ogras, Umit Y.; Fazeli, Mahdi (2022).
    WiSE : When Learning Assists Resolving STT-MRAM Efficiency Challenges. IEEE Transactions on Emerging Topics in Computing.

    View record in DiVA DOI: 10.1109/TETC.2022.3163438

  • Svanström, Fredrik; Alonso-Fernandez, Fernando; Englund, Cristofer (2021).
    A dataset for multi-sensor drone detection. Data in Brief, 39.

    View record in DiVA DOI: 10.1016/j.dib.2021.107521

  • Khan, Taha; Zeeshan, Ali; Dougherty, Mark (2021).
    A novel method for automatic classification of Parkinson gait severity using front-view video analysis. Technology and Health Care, 29 (4), pp. 643 - 653.

    View record in DiVA DOI: 10.3233/THC-191960

  • Chapter in book
  • Pink, Sarah; Raats, Kaspar; Lindgren, Thomas; Osz, Katalin; Fors, Vaike (2022).
    An Interventional Design Anthropology of Emerging Technologies : Working Through an Interdisciplinary Field. The Palgrave Handbook of the Anthropology of Technology. Palgrave Macmillan, Singapore. Pp. 183 - 200.

    View record in DiVA DOI: 10.1007/978-981-16-7084-8_9

  • Fors, Vaike; Brodersen, Meike; Raats, Kaspar; Pink, Sarah; Smith, Rachel Charlotte (2022).
    Investigating ADM in Shared Mobility : A design ethnographic approach. Everyday Automation : Experiencing and Anticipating Emerging Technologies. Routledge, London. Pp. 197 - 212.

    View record in DiVA DOI: 10.4324/9781003170884-17

  • Maculewicz, Justyna; Osz, Katalin (2022).
    UX Research and Sonic Interaction : Towards Human-Centric and Intuitive Sound Interaction Design in the Context of Autonomous Driving. User Experience Design in the Era of Automated Driving. Springer Nature, Cham. Pp. 335 - 357.

    View record in DiVA DOI: 10.1007/978-3-030-77726-5_13

  • Conference paper
  • Davari, Narjes; Pashami, Sepideh; Veloso, Bruno; Nowaczyk, Sławomir; Fan, Yuantao; Mota Pereira, Pedro; Ribeiro, Rita P.; Gama, João (2022).
    A Fault Detection Framework Based on LSTM Autoencoder. IDA 2022: Advances in Intelligent Data Analysis, Rennes, France, April 20–22, 2022.

    View record in DiVA DOI: 10.1007/978-3-031-01333-1_4

  • Alonso-Fernandez, Fernando; Bigun, Josef (2022).
    Continuous Examination by Automatic Quiz Assessment Using Spiral Codes and Image Processing. 13th IEEE Global Engineering Education Conference, EDUCON, Tunis, Tunisia, 28-31 March, 2022 (Educational Conference).

    View record in DiVA DOI: 10.48550/arXiv.2201.11228

  • Cooney, Martin; Sjöberg, Jeanette (2022).
    Could Playful AI Prototypes Support Creativity and Emotions in Learning?. Design, Learning & Innovation (DLI 2021), 6th EAI International Conference on Design, Learning & Innovation, Aalborg, Denmark (Online), December 2-3, 2021.

    View record in DiVA

  • Lindgren, Thomas (2022).
    Experiencing Electric Vehicles. Hawaii International Conference on System Sciences (HICSS-55), Hawaii, 4-7 Jan, 2022.

    View record in DiVA DOI: 10.24251/HICSS.2022.062

  • Hylving, Lena; Resmini, Andrea; Lindenfalk, Bertil; Weberg, Oliver (2022).
    Game design as a pedagogical tool for learning and reflection. EAI DLI 2021 - 6th EAI International Conference on Design, Learning & Innovation, December 2-3, 2021, Aalborg, Denmark (Online).

    View record in DiVA

  • Gonçalves, Dulce; Bergquist, Magnus; Alänge, Sverker; Bunk, Richard (2022).
    How Digital Tools Align with Organizational Agility and Strengthen Digital Innovation in Automotive Startups. CENTERIS - International Conference on ENTERprise Information Systems / ProjMAN - International Conference on Project MANagement / HCist - International Conference on Health and Social Care Information Systems and Technologies 2021, Braga, Portugal, 13-15 October, 2021.

    View record in DiVA DOI: 10.1016/j.procs.2021.11.079

  • Gonçalves, Dulce; Bergquist, Magnus (2022).
    How startups utilize organizational adaptability in digital innovation. The 55th Hawaii International Conference on System Sciences, HICSS-55, virtual, 5-7 January, 2022.

    View record in DiVA DOI: 10.24251/HICSS.2022.644

  • Ashfaq, Awais; Lingman, Markus; Nowaczyk, Sławomir (2022).
    KAFE. The 7th International Online & Onsite Conference on Machine Learning, Optimization, and Data Science, Grasmere, Lake District, England, United Kingdom, October 4 – 8, 2021.

    View record in DiVA DOI: 10.1007/978-3-030-95470-3_10

  • Wärnestål, Pontus (2022).
    Multi-disciplinary Learning and Innovation for Professional Design of AI-Powered Services. EAI DLI 2021 - 6th EAI International Conference on Design, Learning & Innovation, Aalborg, Denmark (Online), December 2-3, 2021.

    View record in DiVA

  • Kochenborger Duarte, Eduardo; Shiomi, Masahiro; Vinel, Alexey; Cooney, Martin (2022).
    Robot Self-defense. HRI '22 – the 2022 ACM/IEEE International Conference on Human-Robot Interaction, Sapporo, Hokkaido, Japan, March 7-10, 2022.

    View record in DiVA

  • Cooney, Martin; Järpe, Eric; Vinel, Alexey (2022).
    “Robot Steganography”?. ICAART 2022: 14th International Conference on Agents and Artificial Intelligence, Online, Feb. 3-5, 2022.

    View record in DiVA DOI: 10.48550/arXiv.2108.00998

  • Fanaee Tork, Hadi (2022).
    Tensor Completion Post-Correction. 20th International Symposium on Intelligent Data Analysis (IDA 2022), Rennes, France, April 20–22, 2022.

    View record in DiVA DOI: 10.1007/978-3-031-01333-1_8

  • Mansour, Osama; Kajtazi, Miranda; Ghazawneh, Ahmad (2022).
    Using Mobile Data for Understanding Population Movement and Disease Transmission during Covid-19 Outbreak in the Nordics. Hawaii International Conference on System Sciences (HICSS), Maui, Hawaii, USA, 4-7 January, 2022.

    View record in DiVA DOI: 10.24251/HICSS.2022.860

  • Hagström, Adrian Leo; Stanikzai, Rustam; Bigun, Josef; Alonso-Fernandez, Fernando (2022).
    Writer Recognition Using Off-line Handwritten Single Block Characters. 10th International Workshop on Biometrics and Forensics, IWBF, Salzburg, Austria, April 20-21, 2022.

    View record in DiVA DOI: 10.48550/arXiv.2201.10665

  • Alfakir, Omar; Larsson, Viktor; Alonso-Fernandez, Fernando (2021).
    A Cross-Platform Mobile Application for Ambulance CPR during Cardiac Arrests. 8th Intl. Conference on Soft Computing & Machine Intelligence, ISCMI, Cairo, Egypt, 26-27 November, 2021.

    View record in DiVA DOI: 10.1109/ISCMI53840.2021.9654861

  • Raeeji Yaneh Sari, Noorali; Fanaee Tork, Hadi; Rahat, Mahmoud (2021).
    A Data-Driven Approach based on Tensor Completion for Replacing "Physical Sensors" with "Virtual Sensors". 2021 IEEE 8th International Conference on Data Science and Advanced Analytics (DSAA), Porto, Portugal, 6-9 Oct., 2021.

    View record in DiVA DOI: 10.1109/DSAA53316.2021.9564118

  • Akyol, Gamze; Sariel, Sanem; Aksoy, Eren Erdal (2021).
    A Variational Graph Autoencoder for Manipulation Action Recognition and Prediction. 2021 20th International Conference on Advanced Robotics (ICAR), Ljubljana, Slovenia (Virtual Event), December 7-10, 2021.

    View record in DiVA

  • Muhammad, Naveed; Hedenberg, Klas; Åstrand, Björn (2021).
    Adaptive warning fields for warehouse AGVs. 2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Västerås, Sweden (Online), 7-10 Sept., 2021.

    View record in DiVA DOI: 10.1109/ETFA45728.2021.9613565

  • Doctoral thesis, comprehensive summary
  • Ashfaq, Awais; (2022).
    Deep Evidential Doctor. Diss. (comprehensive summary). Halmstad : Halmstad University Press, 2022.

    View record in DiVA Download fulltext

  • Gonçalves, Dulce; (2022).
    Organizational Agility and Digital Innovation Capability : The Case of Automotive Startups. Diss. (comprehensive summary). Halmstad : Halmstad University Press, 2022.

    View record in DiVA Download fulltext

  • Lindgren, Thomas; (2022).
    Recharging Future Mobility : Understanding Digital Anticipatory UX through Car Ethnographies. Diss. (comprehensive summary). Halmstad : Halmstad University Press, 2022.

    View record in DiVA Download fulltext

  • Calikus, Ece; (2022).
    Together We Learn More : Algorithms and Applications for User-Centric Anomaly Detection. Diss. (comprehensive summary). Halmstad University Press, 2022.

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  • Farouq, Shiraz; (2022).
    Towards conformal methods for large-scale monitoring of district heating substations. Diss. (comprehensive summary). Halmstad : Halmstad University Press, 2022.

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  • Licentiate thesis, comprehensive summary
  • Sidorenko, Galina; (2022).
    Safety of Cooperative Automated Driving : Analysis and Optimization. Lic. (comprehensive summary). Halmstad : Halmstad University Press, 2022.

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  • Ali Hamad, Rebeen; (2022).
    Towards Reliable, Stable and Fast Learning for Smart Home Activity Recognition. Lic. (comprehensive summary). Halmstad : Halmstad University Press, 2022.

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Research projects within ITE

The following research projects are currently ongoing 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 ITE

The following doctoral and licentiate dissertations have been published at the School of Information Technology (ITE):

Ashfaq, Awais
2022
Khandelwal, Siddhartha
2018
Gholami Shahbandi, Saeed
2016
Parsapoor, Mahboobeh
2014
Ihlström Eriksson, Carina
2004

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