Farzad Ziaie Nezhad understanding Bio-signals/images & Knowledge

PhD Candidate in System Neuroscience, specializing in Machine Vision, Mathematical Brain circuit Modeling, and Neural data analysis at Ernst Strüngmann Institute (ESI) of the Max Planck Society.

Farzad Ziaie Nezhad

Current Focus

Healthy Locomotion

Current Focus

3d pose estimation

Tools

LNAV

Tools

AXERA

Tools

HomaCluster

Tools

Baslers recorder

Research Highlights

Advancing the intersection of artificial intelligence and knowledge representation

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Selected Publications

For a complete list, visit my Google Scholar

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Academic & Professional Experience

2020 – Present

Doctoral Researcher (Ph.D. Candidate)

Ernst Strüngmann Institute (ESI) for Neuroscience, Frankfurt, Germany
  • Conducting research on head direction cells, spatial orientation, and systems neuroscience.
  • Developed multi‑camera markerless 3D pose estimation systems for animal behavior analysis.
  • Designed deep learning pipelines for locomotion tracking, 3D reconstruction, and behavioral mapping.
  • Performed large‑scale neural data analysis and optimization of machine learning models.
2019 – 2020

Data Scientist

DataCoLab, London, United Kingdom
  • Developed OCR pipelines for document digitization and automation.
  • Built face‑recognition systems using deep learning frameworks.
  • Designed NLP models for text classification and information extraction.
2017 – 2019

Biomedical Data Analyst

University of Isfahan, Isfahan, Iran
  • Developed predictive models for sodium excretion using neural networks and multi‑objective optimization.
  • Designed image segmentation algorithms for breast cancer detection.
  • Analyzed biomedical signals (ECG, EMG, PPG) for disease detection and classification.
2015 – 2016

Embedded Systems Developer

Urban Engineering Office, Shiraz, Iran
  • Designed and optimized electrical installations for hospitals and medical imaging centers.
  • Developed real‑time signal processing systems for medical diagnostics.
2015 – 2025

Additional Research & Technical Experience

Various Institutions & Independent Projects
  • Real‑time behavior analysis using 3D reconstructed images (2025).
  • Behavioral outlier detection from monkey video datasets (2025).
  • Spike outlier detection and neural cluster discrimination (2025).
  • RAG‑based legal assistant for document question answering (2025).
  • Farsi OCR for organizational batch processing (2025).
  • PPG→ABP mapping using PhysioNet MIMIC‑II dataset (2019).
  • Video pseudo‑coloring using CNNs (2019).
  • Music classification using CNN + STFT (2019).
  • Under‑sampled EMG force modeling using RNNs (2019).
  • Arrhythmia detection using wavelets + DNN (2018).
  • Medical facility installation and maintenance at Dena Hospital (2016).

Get in Touch

Interested in collaboration or have questions about my research?

farzadziaien[at]gmail.com

Schützenstr. 4, 60311 Frankfurt am Main