📖Researcher and entrepreneur dedicated to advancing sustainable battery innovation. After earning my PhD with summa cum laude from TU Munich, I founded Accelion to bring AI-driven materials acceleration into real-world applications. I am an interdisciplinary innovator with a passion for coding and learning and love to play piano in my free time. Recently awarded the 2024 ZEISS Women Award for Digital Research, I’m excited about building interdisciplinary teams to drive energy storage forward. Let’s connect and collaborate to shape a more sustainable future!
Experience
Responsibilities included:
- Designing pipeline for electrochemical analysis of battery state-of-health and state-of-charge prognostics
- Designing attention-based seq2seq models for battery lifetime prediction
- Training using super-computer
Education
- Research Thesis: Design and Implementation of Enablers in Materials Acceleration Platforms for Battery Research [Media TUM]
- Led an international collaboration of laboratory automation integrating AIplanners, data analysis, management, and hardware orchestration
- Supervision of numerous involved parties and budget requirements and successful contribution to financial grants application
- Managed platform development, quality assessment, and deliverable coordination for BIG-MAP work packages
- Development of an automated materials acceleration platform as part of Big Map
- Optimization of electrolyte formulations through active learning algorithms
- Optimization of battery health prognostics through time series modelling
- Thesis on Outlier treatment and efficient synthetic data generation for heart failure prediction.
- Chancellor’s Prize for Outstanding achivments by a postgraduate student
- The Departmental Prize for the Best Overall Performance on Postgraduate study in Computer Science
- The Departmental Prize for the Best Postgraduate Project in Computer Science
- Functionalizing of cantilever in AFM for Biophysical applications
- Functionalizing of cantilever in AFM for Biophysical applications
- Synthesis and characterization of silver-doped in HA-akermanite nanocomposites
Skills
Favorite programming language for everything “Data” 🥇
Machine Learning, Deep Learning, Reinforcement Learning
Second favorite programming language 🥈
Database management and data manipulation
Version control for all the coding projects
Computer Vision, Statistics, Data Engineering, Pipelines
Recent Publications
List of all available publications
Certificates
A list of all my certificates
Awards
ZEISS Women Award 2024
FUZHAN RAHMANIAN wins the Zeiss Women Award in the Digital Research category for her outstanding study and research work in the field of data science and digitalization.
BIG-MAP PhD Award
FUZHAN RAHMANIAN (KIT) is awarded the BIG-MAP PhD award for her exceptional contribution to the enhancement of the scientific objectives of BIG-MAP and for taking a leading role in establishing collaborative environment and mindset between the project partners.
The Chancellor Prize for Outstanding achievement by a postgraduate student
Chancellor’s Prizes are awarded to the students from each of the University’s academic schools who have achieved the best results in their final year. University of Huddersêeld - Sir George Buckley (Chancellor)
The Departmental Prize for the Best Overall Performance on Postgraduate study in the Computer Science Department
The prize is awarded to the student who has demonstrated exceptional performance and achievement in their coursework, research, and other activities related to their postgraduate study.
The Departmental Prize for the Best Postgraduate Project in the Computer Science Department
The prize is awarded to the student who has demonstrated exceptional performance and innovation in their research project, which may involve original research, development of novel software, or other significant contributions to the field of computer science.
Projects
