AI-Powered Next Generation Battery Management System
AI-Powered Next Generation Battery Management System is a Eurostars-funded, three-year collaborative project comprising nine work packages.
The project's overall goal is to develop an intelligent Battery Management System (BMS) that improves EV battery efficiency, cost, performance, and lifespan. Using advanced technologies like machine learning, IoT, cloud computing, and cybersecurity, the system will offer accurate battery analytics, over-the-air updates, strong cyber protection, and real-time control for optimal safety and performance.
SDU CIS is leading Work Package 5: Cybersecurity, which addresses key cybersecurity challenges in Battery Management Systems (BMS)—a critical component for the safety and reliability of electric vehicles. This work involves designing a secure BMS architecture informed by Threat Analysis and Risk Assessment (TARA), and developing advanced security features such as secure communication, access control, anomaly detection, and real-time monitoring.
The project brings together partners from SDU CIS, SDU CIE, MEATEC, BANKE, BILKENT, and ORTEM, with each partner leading a dedicated work package.
Project period: 01-07-25 to 30-06-2028
Contact: Mubashrah Saddiqa
Consulting on AI, Big Data and Blockchain Technology
The goal of the project is to transform SAM software from ASA through digital technologies by adding features including automated digitization of thousands of physical documents in various formats required for aircraft maintenance by using AI models, efficient handling of large volumes of maintenance big data to improve reporting and analysis processes, and designing a system for aircraft stakeholders with high assurance of data provenance through blockchain, allowing to search across the data and validate maintenance status.
Contact: Serkan Ayvaz
Cyber-Safe Robotics
The Cyber Safe Project addresses the increasing cybersecurity risks associated with the integration and connectivity of robotics, automation, and drone applications.
The project is structured into different modules, each offering specialized workshops. These workshops equip participants with practical tools and roadmaps to implement secure practices in their solutions. As part of the project, we focus on protecting and securing software and robotic systems against cyberattacks in Module 5.
You can learn more about module 5 and register here: https://odenserobotics.nemtilmeld.dk/34/.
Contact: Mubashrah Saddiqa
eRotaryActuator
The project aims at replacing hydraulic actuators in the low/medium power range with electrical actuation to reduce the amount of required component as well as increase the overall efficiency. This is achieved by designing an integrated system including highly efficient electric to mechanical power conversion, novel production methods including 3D printing as well as novel control strategies and power electronics for steering the actuator.
Project website: EUDP 640242-534878 project site
Contact: Krzysztof Sierszecki
LAIA
The LAIA project aims to develop and implement a master-level course on artificial intelligence, which will be introduced to Consortium members of Institutions of Higher Education. LAIA aims to bring advanced educational opportunities to Albania and Kosovo to keep up with emerging technologies and intensely utilize the research advancements in the field. With the collaborative effort, the LAIA project can increasingly improve people’s quality of life and job opportunities and trigger system growth in Albania and Kosovo.
Contact: Sadok Ben Yahia
Multimodal data processing of earth observation data
This project aims to develop machine learning models for off-road based on space-based Earth observation data to support vehicle mission planning.
The systems will process multi-modal Earth observation data with hybrid architectures that strategically distribute computational tasks across adaptive distributed edge and cloud environments to optimize reliability, performance, and energy efficiency as critical quality attributes.
Contact: Serkan Ayvaz
Programming with and without AI – a balanced approach
This collaborative project between SDU, AU, and AAU addresses the growing reliance on AI tools like code completion and generation among students, which may hinder the development of foundational programming skills. The initiative aims to redesign introductory programming and software engineering courses to promote a balanced understanding of coding with and without AI support. By developing new teaching methods, materials, experimenting with AI-aware coding environments, and fostering critical awareness of AI’s benefits and trade-offs, the project empowers educators and students to use AI tools responsibly and constructively in programming education.Spanning from 2025 to 2027, the project will iteratively test and refine its educational interventions across all three institutions, culminating in a shared framework and teaching resources that can be adopted more broadly across Danish universities.
Contact: Adam Alami
RECOVER
The RECOVER project aims to improve water quality in the western Baltic Sea and increase its resilience to environmental stresses. The project will develop a digital twin model of the southwestern Baltic Sea that can be used to simulate climate scenarios and test various management measures.
Contact: Serkan Ayvaz