Miruna-Elena IliutaAssistant Professor

WhatsApp Image 2024-11-22 at 13.53.43
areas of expertise
  • Ethics and Technological Responsibility
  • Project management
  • Digital Twin
  • Knowledge Management
  • Information Technology
  • Information System Management
education
  • 01/10/2015 – 01/07/2019 – Bachelor’s degree – Faculty of Engineering in Foreign Languages (FILS), University POLITEHNICA Bucharest
    • Field(s) of study – Computers and Information Technology
  • 01/10/2019 – 01/07/2021 – Master’s degree – Faculty of Engineering in Foreign Languages (FILS), University POLITEHNICA Bucharest
    • Field(s) of study – Management, Innovation et Technologies des Systèmes Collaboratifs
  • 07/07/2021 – 20/09/2024 – PhD study – Faculty of Automatic Control and Computers, University POLITEHNICA Bucharest

Miruna-Elena ILIUȚĂ obtained her PhD in Systems Engineering from the National University of Science and Technology POLITEHNICA of Bucharest, Romania, within the Faculty of Automatic Control and Computers. Her doctoral thesis, titled “A Digital Twin Model for e-Health Systems and Personalised Medicine,” represents a significant contribution to the integration of advanced technologies in personalized healthcare, especially in ophthalmology. She also holds a B.S. in Computers and Information Technology and an M.S. degree in Project Management, both from the University POLITEHNICA of Bucharest, Romania, The Faculty of Engineering in Foreign Languages.

Currently, Miruna-Elena ILIUȚĂ’s research focuses on an in-depth analysis of the ethical aspects associated with the use of Artificial Intelligence, with a particular emphasis on emerging technologies related to Generative Artificial Intelligence. Through an interdisciplinary approach, she investigates the impact of these technologies on current practices, exploring how fundamental ethical principles can be integrated into the development and implementation process. Her research aims not only to identify ethical challenges but also to develop conceptual frameworks and methodologies that ensure the responsible and sustainable use of generative artificial intelligence, contributing to scientific and technological progress while respecting fundamental human values.

“The foundation stones for a balanced success are honesty, character, integrity, faith, love and loyalty.” (Zig Ziglar)

Miruna-Elena ILIUȚĂ conducts her teaching activities in the disciplines of Project Management, Software Systems Engineering, and Discrete Event Dynamic Systems. Her research focuses primarily on the applicability of Digital Twin technology in medicine, particularly in ophthalmology. An important aspect of her research is identifying the ethical implications related to the use of Digital Twin technology in this field. Her studies explore the integration of Digital Twin technology in Systems and Predictive Medicine, focusing on diagnosing eye-related pathologies. The results of her research have been published in specialized articles. She has been involved in several research projects, one of which was conducted in collaboration with Ovidius University of Constanța, where she contributed to the development of applications for processing massive data structures in the medical field. Miruna began her career in risk management within a banking institution, where she developed a passion for this field. Her effective communication skills allowed her to clearly articulate complex risk concepts, making her an effective contributor in team discussions and presentations. In Project Management, her primary interest lies in risk management, dedicating herself to implementing advanced methods for identifying, evaluating, and managing risks in complex projects.

Top publications

  • Iliuţă, M. E., Moisescu, M. A., Caramihai, S. I., Cernian, A., Pop, E., Chiş, D. I., & Mitulescu, T. C. (2024). Digital Twin Models for Personalised and Predictive Medicine in Ophthalmology. Technologies, 12(4), 55 – https://www.mdpi.com/2227-7080/12/4/55
  • Iliuță, M. E., Moisescu, M. A., Pop, E., & Mitulescu, T. C. (2023, September). Risk Assessment for Digital Twins Applied in Systems Medicine. In International Workshop on Service Orientation in Holonic and Multi-Agent Manufacturing (pp. 89-101). Cham: Springer Nature Switzerland – https://link.springer.com/chapter/10.1007/978-3-031-53445-4_8
  • Iliuţă, M. E., Pop, E., Moisescu, M. A., Caramihai, S. I., & Tiganoaia, B. (2023, May). A Digital Twin Based Approach in Healthcare. In 2023 24th International Conference on Control Systems and Computer Science (CSCS) (pp. 356-362). IEEE. – https://ieeexplore.ieee.org/abstract/document/10214732
  • Iliuţă, M., Pop, E., Caramihai, S. I., & Moisescu, M. A. (2022, September). A digital twin generic architecture for data-driven cyber-physical production systems. In International Workshop on Service Orientation in Holonic and Multi-Agent Manufacturing (pp. 71-82). Cham: Springer International Publishing. – https://link.springer.com/chapter/10.1007/978-3-031-24291-5_6
  • Pop, E., Iliuță, M. E., Constantin, N., Gîfu, D., & Dumitrascu, A. (2023, May). Interoperability Framework for Cyber-Physical Systems Based Capabilities. In 2023 24th International Conference on Control Systems and Computer Science (CSCS) (pp. 350-355). IEEE. – https://ieeexplore.ieee.org/abstract/document/10214731

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The core purpose of PRECIS is to enhance its infrastructure within National University for Science and Technology POLITEHNICA Bucharest, driving technological advancements and technological transfer for the development of innovative engineering products, processes and new generation technologies for a better future.
Our mission is to build a safe, supportive academic enrichment space where the engineering creators can go from ideea to product, from concept to prototype and beyond.

Ioan Stefan Sacala
President, PRECIS