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Sándor Battaglini-Fischer

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Sándor Battaglini-Fischer

PhD Candidate in Neuromorphic Photonic Computing
IFISC, CSIC-UIB
Funded by the Marie Skłodowska-Curie POSTDIGITAL+ Network

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About Me

Content coming soon.

Publications

  1. ICPE '25
    FAILS - A Framework for Automated Collection and Analysis of LLM Service Incidents
    Sándor Battaglini-Fischer, Nishanthi Srinivasan, Bálint László Szarvas, Xiaoyu Chu, Alexandru Iosup
    16th ACM/SPEC International Conference on Performance Engineering, 2025.
    PDF Code Project Page

Further Research

  1. Bachelor Thesis @ TUM
    Analysis of 3D Cell Culture Experiments with Machine Learning Methods
    Sándor Battaglini-Fischer, supervised by Prof. Dr. Andreas Bausch and Dr. Fabian Englbrecht
    Technical University of Munich, 2022
    PDF

  2. Individual Project @ UvA
    Towards Effective User Interfaces for Complex Agent-Based Models: Building a Criminal Network Visualisation and Simulation Tool for Law Enforcement Agencies
    Sándor Battaglini-Fischer, supervised by Prof. Dr. Rick Quax and Laurens Stuurman
    University of Amsterdam, 2024
    PDF Code
    Project for the Amsterdam Police Department

Coding Projects

  1. Individual Project @ UvA
    Citadel
    A web-based tool for rendering and interacting with graph networks, allowing users to analyze and edit graphs through a browser interface.
    React, Node.js, Cytoscape.js, TypeScript, Python
    GitHub PDF
    Visualisation code for the individual project on Criminal Networks, for the police department of Amsterdam.

  2. Course Project @ UvA
    Visualising the Brain - A Custom Tool for Investigating Lesion and Stimulation Dynamics in the Human Brain
    A project focusing on neuronal networks in the human brain, analyzing calcium imaging data and visualizing results.
    VTK
    GitHub PDF
    For the course "Scientific Visualisation and Virtual Reality" at UvA. Based on the 2023 IEEE SciVis Contest. Contains scripts for data analysis and visualization in 3D, including correlation matrices and box plots.

  3. Course Project @ UvA
    Romantic Chaos – A study of the emergence of unpredictability in relationships
    Models relationship dynamics using coupled linear ordinary differential equations (ODEs), exploring concepts like chaotic love dynamics.
    Python, Jupyter Notebooks
    GitHub PDF
    For the course "Complex System Simulation" at UvA. Explores chaotic dynamics in a system of coupled ODEs, analysing Lyapunov exponents and bifurcation diagrams of polyamorous dynamics.