Laimonas Kairiukstis
We Are Seeking an Academic Fellow in Computer Networks and IoT We are looking for an accomplished academic researcher or faculty member with expertise in Computer Networks, Internet of Things (IoT), and Data Engineering to contribute to a high-impact collaborative research initiative. This position is intended for scholars who have already established a record of scientific publication and seek to expand their research through international collaboration. Essential Qualifications • Proven Research Record: A demonstrated history of scientific achievement, evidenced by publications in peer-reviewed journals, international conferences, or reputable academic outlets. Experience in leading or participating in funded research projects will be considered an asset. • Technical and Methodological Expertise: Strong programming skills in Python and familiarity with data streaming frameworks and IoT communication protocols. A solid understanding of data quality assessment, trust management, and statistical analysis in distributed systems. • Academic and Research Competencies: Ability to conceptualise, design, and implement experimental research workflows. Strong analytical and problem-solving skills. Ability to work collaboratively in interdisciplinary and international research environments.
KAUNO KOLEGIJA
Data Quality and Trust Management in Federated IoT Systems • Description: Propose a framework for assessing and scoring the quality and trustworthiness of data from IoT sources, especially in systems where data is shared across organizational boundaries. The framework could consider factors like sensor calibration history, data provenance, and consensus among neighboring sensors. • Key Research Questions: How can we create a universally applicable data trust score for IoT data? How does implementing a trust-aware data fusion system improve the reliability of decisions made by an IoT application? • Methodology: Design a trust scoring model, implement it in a data processing pipeline and simulate scenarios with malicious or faulty sensors to see if the system can identify and mitigate bad data.
For the Invited Academic Fellow Integration into a Leading Research Group: You will join a dynamic academic team at the Centre of Engineering Studies, Faculty of Informatics, Engineering and Technologies of Kauno Kolegija HEI. The group fosters a collegial and interdisciplinary research environment, where faculty members and visiting scholars collaborate on cutting-edge projects that bridge theory and application. You will be integrated into ongoing funded research initiatives and collaborate closely with local academic staff with a proven record of publications in leading international venues. Joint Research and Knowledge Exchange: The fellowship promotes deep scientific collaboration and exchange of expertise between institutions. You will contribute to the co-design and implementation of advanced research studies, mentor graduate researchers, and co-develop innovative models and frameworks relevant to emerging digital technologies. This engagement aims to strengthen both institutions’ research capacity and build sustainable channels for long-term cooperation. Pathway to Joint Publications and Projects: The fellowship is structured to yield tangible research outputs, including co-authored publications in reputable international conferences and journals. It also provides a foundation for joint applications to competitive funding programs, including European research and innovation initiatives. Professional Development and International Collaboration: This academic exchange allows you to expand your professional network, share best practices in research supervision and curriculum design, and establish lasting institutional partnerships. You will also have the opportunity to co-organize seminars and workshops with the Department, supporting the growth of its research ecosystem. For the Hosting Institution and Inviting Department Advancement of Strategic Research Priorities: The visiting fellow’s expertise will contribute significantly to the Department’s ongoing projects in data-driven systems, IoT trust management, and federated AI. This collaboration supports the Faculty’s broader mission to strengthen international research cooperation and advance excellence in digital innovation. Increased Research Visibility and Output: Through this partnership, the Department anticipates enhanced academic output, including high-quality publications, open-source research artifacts, and innovative experimental results. Capacity Building and Academic Exchange: This fellowship fosters an environment of mutual growth through academic mentoring, co-supervision of postgraduate students, and shared engagement in curriculum and research development. It also lays the groundwork for future exchange programs, staff mobility, and long-term institutional collaboration.
3 weeks
This proposal builds upon an established and productive collaboration between our institutions, ensuring immediate project initiation and measurable scientific progress. The strength of this partnership is demonstrated by our recent joint publication, “Measurement System Analysis of IoT Devices for Illuminance Monitoring” (pp. 117–126), included in the Proceedings of the RTA-CSIT 2025 conference and available via CEUR-WS at https://ceur-ws.org/Vol-4044/ . The paper was co-authored by Laimonas Kairiukstis and a research team from the University of Tirana — Ilma Lili, Anxhela Kosta, Ejona Peqini, and Jonalda Gjoka — reflecting a genuine and sustained inter-university collaboration. The cooperation between our institutions extends beyond publication efforts and includes active academic engagement. Dr. Laimonas Kairiukstis served on the Program Committee of the Recent Trends and Applications in Computer Science and Information Technology 2025 (RTA-CSIT 2025) conference, further contributing to the development of a shared international research network. This strong existing synergy ensures that the proposed academic visit will not begin from the ground up but will instead build directly upon ongoing initiatives in IoT metrology, data quality assessment, and trustworthy AI, thereby accelerating progress toward our shared research objectives.