Niloofar Rahmati

Conducted research on Knowledge Graphs construction and augmentation, with a focus on KG verbalization tasks and the impact of utilizing Knowledge Graphs in enhancing reasoning capabilities of LLMs. The study aimed to work on more complex graph structures and explore their applications across different domains.

Collaborating on social network study exploring impact of lockdowns on online users categorized by demographic aspects, before lockdown, and during this period, by studying French and German users online activity.

Tutored and organized a Python block course in 2021 for first-semester SEDS students at the University of Konstanz. Responsibilities included introducing IDEs, teaching Jupyter Notebook, and providing support with Python assignments and learning throughout the week.

An interdisciplinary program where I gained expertise in Python, machine learning, statistics, data mining, visualization, network analysis, and NLP, with hands-on projects and collaborative problem-solving. My thesis was focused on enhancing large language models, titled "Self-Diagnosis and Hallucination Correction of Generative Large Language Models". Developed strong skills in Python, ML, NLP, data science, research design, data-driven analysis, and communication.

Completed an M.Sc. in Mathematics at the Free University of Berlin, emphasizing advanced optimization, numerics, and discrete methods. Developed strong skills in linear, combinatorial, and convex optimization, as well as Python programming and triangulation algorithms for terrain modeling. My thesis tackled electric vehicle navigation to minimize energy consumption, integrating recharging stops and recuperation for efficient route planning.

Completed a B.Sc. in Mathematics at Shahid Beheshti University in Iran, mastering linear algebra, differential equations, topology, statistics, numerical analysis, and logic. Gained exposure to graph theory, Euclidean/non-Euclidean geometry, and programming in C++. My thesis examined ruled and minimal surfaces with real-world applications, highlighting analytical rigor and versatile problem-solving abilities.