Scholar
Amy Nejati
Google Scholar ID: 78UhGuQAAAAJ
Assistant Professor, Newcastle University
Citations & Impact
Citations
476
H-index
12
i10-index
14
Publications
20
Co-authors
11
list available
Publications
Resume (English only)
Academic Achievements
- - Selected as a CPS Rising Star in 2024.
- - Paper “Model Order Reduction from Data with Certification” accepted at the 64th IEEE Conference on Decision and Control (CDC 2025).
- - Paper “From Data to Global Asymptotic Stability of Unknown Large-Scale Networks with Provable Guarantees” selected as a “Best Repeatability Award Finalist” at the 28th ACM International Conference on Hybrid Systems: Computation and Control (HSCC 2025).
- - Appointed as an Associate Editor for European Control Conference (ECC 2026) starting July 2025.
- - Appointed as an Associate Editor for the 28th IEEE International Conference on Intelligent Transportation Systems (ITSC 2025) starting April 2025.
- - Co-organized multiple invited sessions and workshops at international conferences.
Research Experience
- - Assistant Professor at the School of Computing, Newcastle University.
- - Postdoctoral Associate at Max Planck Institute for Software Systems (MPI-SWS), working with Anne-Kathrin Schmuck.
- - Senior Researcher in the Computer Science Department at Ludwig Maximilian University of Munich (LMU).
Education
- - Ph.D. in Electrical Engineering from Technical University of Munich (TUM), supervised by Prof. Majid Zamani.
- - B.Sc. and M.Sc. in Electrical Engineering.
Background
- - Research Interests: Developing trustworthy (data-driven) techniques and algorithms for the design, verification, and control of safe and secure autonomous cyber-physical systems (CPS), while providing mathematical guarantees.
- - Professional Field: Formal methods, control theory, and data science.
- - Biography: Assistant Professor at the School of Computing, Newcastle University, focusing on addressing real-world safety-security-critical systems in robotics, energy, intelligent transportation networks, and automated manufacturing systems.
