Ameneh Nejati

Ameneh Nejati 

Ameneh Nejati
Ph.D. Candidate

TUM School of Computation, Information and Technology
Technical University of Munich

Arcisstr. 21
80333 Munich



Ameneh Nejati is the last-year PhD Candidate in Electrical Engineering Department at the Technical University of Munich (TUM) under the supervision of Prof. Majid Zamani. She is also a Research Scientist in Computer Science Department at the Ludwig Maximilian University of Munich (LMU). During her Ph.D. studies since April 2018, she has visited different top-ranked schools outside of Germany including (i) ETH Zurich, Switzerland, (ii) Newcastle University, United Kingdom, and (iii) University of Colorado Boulder, United States. She has received the B.Sc. and M.Sc. degrees both in Electrical Engineering.

Her line of research mainly focuses on developing efficient (AI-based) techniques to design and control highly-reliable autonomous systems while providing mathematical guarantees. In her research, she brings together interdisciplinary concepts from control theory, formal methods in computer science, and data science. Application domain of her research spans a wide range of real-life safety-critical systems including automotive, robotics, transportation systems, energy, healthcare, and so on. For more details, please see her Google scholar.

Research Interests

  • Autonomous Systems

  • Stochastic Hybrid Networks

  • Data-Driven Control

  • Formal Methods

  • Trustworthy Autonomy & AI


Journal Papers

Conference Papers

Conference Presentation & Workshop Attendance

  • December 2022: 61st IEEE Conference on Decision and Control (CDC), Cancún, Mexico

  • May 2022: 25th ACM International Conference on Hybrid Systems: Computation and Control (HSCC), Milan, Italy

  • May 2022: Workshop on Computation-Aware Algorithmic Design for Cyber-Physical Systems (CAADCPS)

  • July 2021: 7th IFAC Conference on Analysis and Design of Hybrid Systems (ADHS), Brussels, Belgium

  • June 2021: EPFL & ETHZ Summer School on Foundation and Mathematical Guarantees for Data-Driven Control, ETH Zurich, Switzerland

  • April 2020: 24th ACM International Conference on Hybrid Systems: Computation and Control (HSCC), Virtual

  • December 2020: Data-Driven Control Workshop in CDC 2020, Jeju Island, Republic of Korea

  • December 2020: 59th IEEE Conference on Decision and Control (CDC), Jeju Island, Republic of Korea

  • July 2020: 21st IFAC World Congress, Berlin, Germany

  • June 2019: European Control Conference (ECC), Naples, Italy

  • April 2019: TUM Seminar: Presenting Papers and Posters at International Conferences, Munich, Germany

  • March 2019: TUM Seminar: Scientific Paper Writing, Munich, Germany

  • July 2018: Munich Aerospace Summer School, Munich, Germany

  • April 2018: 21st ACM International Conference on Hybrid Systems: Computation and Control (HSCC), Porto, Portugal

  • June 2017: TUM Workshop: Information and Communication Theory in Control Systems, Munich, Germany

Professional Services: Reviewing Activities

  • Journals: IEEE Transaction on Automatic Control (TAC, IEEE), Automatica (Elsevier), Information and Computation Journal (Elsevier), Nonlinear Analysis: Hybrid Systems (NAHS, Elsevier), IEEE Control Systems Letters (L-CSS, IEEE), IEEE Systems & Control Letters

  • Conferences: IEEE Conference on Decision and Control (CDC), IEEE European Control Conference (ECC), IEEE American Control Conference (ACC), IFAC Conference on Analysis and Design of Hybrid Systems (ADHS), IFAC World Congress

Advanced Courses Taken at TUM

  • Control Theory

  • Nonlinear Control

  • Modeling and Verification of Embedded Systems

  • Functional Analysis

  • Probability Theory