Hasso-Plattner-Institut
Prof. Dr. Christoph Lippert
 

Fareeha Afzal

Research Assistant

Room: Hasso Plattner Institute Campus III, Bldg: G2, Room: 2.16
Phone: +4933155094954
Adress: Rudolf-Breitscheid-Str. 187 Potsdam, Brandenburg, 14482 Germany

Research Interest

  • Machine Learning in Healthcare
  • Digital Health & Biomedical Engineering
  • Genomic Data Analysis
  • Signal Processing & NMR Data Analysis
  • Deep Learning (CNNs)
  • Medical Device Development

Work Experience

Research Assistant – Hasso Plattner Institute, Germany (Jan 2026 – Present)

  • Working on the GeGe4Nephro Project

Research Engineer – FEMTO-ST, France (Oct – Nov 2025)

  • Optimized AI architectures for denoising Raman spectra

Visiting Researcher – University Marie et Louis Pasteur (Sep – Oct 2025)

Master’s Thesis :Project Manager (Erasmus+) – TH Lübeck, Germany (Nov – July 2025)

  • Led development of a 20 MHz pulsed wave NMR device for blood analysis
  • Applied ML techniques for classification of hemoglobin spectras using NMR  
  • Conducted biological lab work and data analysis
  • Collaborated with engineers, clinicians, and risk management teams

Master's Project 

  • ML classification of keloid scars using gene expression data

Summer Intern – FEMTO-ST, France (July 2024)

  • Developed deep learning models for Raman spectra denoising

Masters – ISIFC, France (2023-2025)

  • Biomedical Engineering

Bachelors – UET Lahore, Pakistan (2019-2023)

  • Biomedical Engineering

 

Publications

  • Enhanced Pulsed-Wave NMR Device for Point-of-Care Blood Analysis and Market Access Simulation in the Early Development Phase for Risk Improvement Prof. Wen, Huan; Afzal, Fareeha; Geist, Alexander; Prof.Christoph Urban, Max (2025).
     
  • Keloid Biomarker Identification using Machine learning. Afzal, Fareeha; Raluca, Eftime (2025).
     
  • E-waste Driven Interdigitated Capacitive Wearable Sensor for Breath Rate Monitoring Applications. Tahir, Anoosha; Iqbal, Nida; Afzal, Fareeha; Saddiqi, Junaid; Liaqat, Zainab; Yasir, Muhammad Naveed; Mehmood, Muhammad Qasim (2025).
     
  • Praedico – Salvos: An Ensemble ML Framework for Predicting Survivability of Thyroid Cancer Patients. Afzal, Fareeha; Wajid, Bilal; Anwar, Faria; Tahir, Anoosha; Rafique, Hafsa (2024).
     
  • Predicting Survivability of Colon Cancer Patients using Machine Learning. Tahir, Anoosha; Wajid, Bilal; Anwar, Faria; Awan, Fahim Gohar; Rashid, Umar; Afzal, Fareeha; Abdul, Rauf Anwar; Wajid, Imran (2023).