Database and Information Techniques (ADIT)

The division Database and Information Techniques is part of the Department of Computer and Information Science. The division consists of several research groups, each of which has its own research profile.

Drone Research Groups at ADIT

The Air and Ground Information Security Group

This group conducts research on air security including manned air communication systems and drone identification and communication, as well as ground IT security including industrial internet, smartgrids, security and monitoring of vehicular systems (cars, ships, rails) and 6G. Read more about our group

The Database and Web Information Systems Group

This group conducts research on storage, management, search and integration of data. Important application areas are materials science and the life sciences.
Currently, our research focuses on: ontology engineering (alignment, debugging, evolution, visualization), efficient data management for the web, querying linked data, graph databases and sports analytics. Read more about our group.

The Security and Networks Group

Research within this group is done on a broad range of topics, spanning security, networks, and related areas such as performance evaluation and multimedia systems. Read more about our group.

The Communications for Networked Intelligent Systems Group

This group performs research on communication networks, such as semantics-aware goal-oriented communications, timeliness of information, tactile internet, wireless energy harvesting networks, performance analysis and stochastic modeling, and physical layer security. An important research direction is how to utilize the traffic properties and characteristics to increase the performance of wireless networks by reducing the amount of information that is generated, transmitted, and processed in a network. Typical examples include content caching and timing properties and requirements of traffic, which are crucial aspects towards 6G communications. Read more about our group.

The Sports Analytics Group

Sports analytics deals with using data related to sports events to obtain insights about the sport and its surroundings. In our group we interpret this broadly. The insights can relate to such things as player and team performance, strategies, training, injuries, and rules of the game. The group was started at the end of 2017. We are researchers from different labs at Linköping University, primarily from the Department of Computer and Information Science with a common interest in various aspects of sports analytics. Read more about our group

News at ADIT

News and major articles

Image of the award certificate

Best research paper award for foundational work on knowledge graph construction

Olaf Hartig, Dept of Computer and Information Science, has won the Best Research Paper Award at the ESWC 2025 conference, which is one of the top conferences on knowledge graphs and semantic web technologies, a subfield of artificial intelligence.

computer screen on which it is written

New PhD thesis in Computer Science about social media interactions

In June, Alireza Mohammadinodooshan at the Department of Computer and Information Science (IDA) successfully defended his thesis on understanding user engagement with news on social media platforms.

Winners of the regional exemplary student branch award, Gurjot Singh Gaba accepted the award on LiU's behalf

IEEE Linköping University Student Branch Wins 2023 Regional Exemplary Student Branch Award

The Student Activities Committee (SAC) of Region 8 (R8) IEEE has recognized the Linköping University Student Branch with the prestigious 2023 Regional Exemplary Student Branch Award.

Research activities at ADIT

robot dog Spot, drone, small helicopter, operator

WASP at Department of Computer and Information Science (IDA)

WASP, Wallenberg AI autonomous systems and software program, is the largest individual research investment in Sweden in modern times. One of the WASP research environments at LiU is located at the Department of Computer and Information Science.

Wireless Optimization and Analytics

The research develops new models, concepts, and solution algorithms for performance optimization in wireless networking and data analytics.

Cybersecurity

Welcome to the cybersecurity platform at the Department of Computer and Information Science at Linköping University. Here you can find information about research and education in cybersecurity, as well as researchers and teachers active in the field.

Database and Web Information Systems

The Database and Web Information Systems Group conduct research on storage, management, search and integration of data. Important application areas are materials science and the life sciences.

Security and Networks

The Security and Networks Group focuses on getting the right information to the right people at the right time. Information security is an important part of this aim: for a system to be trusted, it must also be secure.

Telecommunications for Smart Cities

Our research focuses on modeling and evaluating the communication and network architectures of such relevant Internet of Things deployments with applications in smart cities.

Semantic Web

The Semantic Web is an extension of the traditional Web in which interlinked data with well-described semantics has been added in a machine-processable form.

Latest publications

2025

Mina Abd Nikooie Pour, Eva Blomqvist, Pedro Giesteira Cotovio, Adrien Coulet, Lucas Ferraz, Sven Hertling, Sarika Jain, Ernesto Jiménez-Ruiz, Felix Kraus, Patrick Lambrix, Huanyu Li, Ying Li, Xianhao Liu, Pierre Monnin, Heiko Paulheim, Catia Pesquita, Abhisek Sharma, Pavel Shvaiko, Marta Silva, Guilherme Sousa, Cassia Trojahn, Jana Vataščinová, Beyza Yaman, Ondřej Zamazal, Lu Zhou (2025) Results of the Ontology Alignment Evaluation Initiative 2025 Proceedings of the 20th International Workshop on Ontology Matching co-located with the 24th International Semantic Web Conference (ISWC 2025) (Conference paper)
Fangming Zhao, Nikolaos Pappas, Meng Zhang, Howard H. Yang (2025) Age of Information in Random Access Networks With Energy Harvesting IEEE Journal on Selected Areas in Communications, Vol. 43, p. 3813-3829 (Article in journal) Continue to DOI
Zhiling Yue, Yuting Tang, Nikolaos Pappas, Yaru Fu, Howard H. Yang (2025) Understanding Channel Access in Timely Status Updates: Random Access or Scheduled Access? 2025 23RD INTERNATIONAL SYMPOSIUM ON MODELING AND OPTIMIZATION IN MOBILE, AD HOC, AND WIRELESS NETWORKS, WIOPT, p. 284-291 (Conference paper) Continue to DOI
Jiaqi Zhu, Bikramjit Das, Nikolaos Pappas, Howard H. Yang (2025) Towards Federated Learning Over the Air: Why Scaling Up Helps? 2025 23RD INTERNATIONAL SYMPOSIUM ON MODELING AND OPTIMIZATION IN MOBILE, AD HOC, AND WIRELESS NETWORKS, WIOPT, p. 395-402 (Conference paper) Continue to DOI
Jiping Luo, Nikolaos Pappas (2025) Revisiting Estimation Quality: Significance-Aware Age of Consecutive Error 2025 23RD INTERNATIONAL SYMPOSIUM ON MODELING AND OPTIMIZATION IN MOBILE, AD HOC, AND WIRELESS NETWORKS, WIOPT, p. 276-283 (Conference paper) Continue to DOI
Mehrdad Salimnejad, William Tarneberg, Christian Nyberg, Nikolaos Pappas (2025) Analyzing Coverage Probability in Full-Duplex Two-Tier Networks with Offloading and Resource Partitioning 2025 23RD INTERNATIONAL SYMPOSIUM ON MODELING AND OPTIMIZATION IN MOBILE, AD HOC, AND WIRELESS NETWORKS, WIOPT, p. 30-36 (Conference paper) Continue to DOI
Jiping Luo, Nikolaos Pappas (2025) Semantic-Aware Remote Estimation of Multiple Markov Sources Under Constraints IEEE Transactions on Communications, Vol. 73, p. 11093-11105 (Article in journal) Continue to DOI
Pouya Agheli, Nikolaos Pappas, Petar Popovski, Marios Kountouris (2025) Integrated Push-and-Pull Update Model for Goal-Oriented Effective Communication IEEE Transactions on Communications, Vol. 73, p. 10914-10928 (Article in journal) Continue to DOI
Qinqin Xiong, Jie Cao, Xu Zhu, Yufei Jiang, Nikolaos Pappas (2025) Inference-Aware State Reconstruction for Industrial Metaverse Under Synchronous/Asynchronous Short-Packet Transmission IEEE Transactions on Communications, Vol. 73, p. 8937-8951 (Article in journal) Continue to DOI
Mattias Sjögren, Alex Jorge, Jesper Haglöf, Niklas Carlsson, Patrick Lambrix (2025) Data-Driven Models for Predicting Field Player Market Value in European Football 2025 IEEE International Workshop on Sport, Technology and Research, p. 96-101 (Conference paper) Continue to DOI

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Staff at ADIT

About the department