Fromsa Teshome Negasa bio photo

Fromsa Teshome Negasa

PhD Student @TAU

Tampere, Finland Tampere University LinkedIn Github e-Mail

Curriculum Vitae

Education

  • Doctoral Researcher in Signal Processing and Machine Learning
    • January 2026 - Present: Tampere University, Tampere, Finland
    • Doctoral School of Industry Innovations (DSII); industry collaboration with Microsoft Surface Imaging
    • Computational imaging, optics–algorithm co-design, and machine learning–based inverse imaging
  • Erasmus Mundus Joint Master’s Degree (EMJMD) in Photonics for Security, Reliability, and Safety (PSRS)
    • September 2023 - September 2025: Université Jean Monnet, University of Eastern Finland, and Université Paris-Est Créteil (UPEC)
    • Achievements:
      • Graduated with Honors (Grade: A), ranked 1/20 in cohort
      • Grades: 16.13/20 at Université Jean Monnet, 4.8/5 at the University of Eastern Finland, 16.31/20 at UPEC
      • Thesis: Multi-Aperture Computed Tomography Imaging Spectrometer (MACTIS) for Biometric Authentication
  • Bachelor of Engineering in Chemical Engineering and Technology
    • June 2022: Tianjin University, Tianjin, China
    • Achievements:
      • Grade: 3.01/4.00 over 175 credits
      • Propaedeutic Education program in Chinese Language prior to major coursework
      • Graduation IChemE Project: Cyclopentanol pilot plant design with a throughput of 10000 tons/annum
      • Undergraduate thesis: Deep Learning-based Amharic Character Recognition (93% accuracy)
  • Associate of Science in Computer Science
    • June 2025: University of the People (Online)
    • GPA: 3.58/4.00
    • Relevant courses: Statistical Inference in R, OOP in Python, Databases I & II (SQL)

Work Experience

  • Master Thesis Researcher, Sony Europe Limited – Stuttgart Technology Center (STC)
    • March 2025 - September 2025: Stuttgart, Germany
    • Duties:
      • Developed deep learning models for hyperspectral biometric verification using Multi-aperture CTIS
      • Designed one-class classification pipelines (Deep SVDD and HypOC) for real vs. fake skin detection
      • Achieved >98% AUROC on synthetic datasets; optimized model for mobile deployment
  • M2 Research Intern, LISSI Laboratory and IMRB (Mondor Institute of Biomedical Research)
    • October 2024 - January 2025: Créteil, France
    • Duties:
      • Developed ML/DL methods to analyze cell migration patterns in Duchenne Muscular Dystrophy research
      • Implemented automated tracking systems to study myoblast migration through optical microscopy data
      • Collaborated with interdisciplinary teams to evaluate disease progression using cell migration analysis
  • Graduate Student Assistant, SMART Bioinformatics Lab, Tianjin University
    • September 2022 - August 2023: Tianjin, China
    • Duties:
      • Developed ML models for industrial applications and image processing

Projects

  • Multi-Functional Biometric System
    • Tools: Python, OpenCV, TensorFlow, PyQt
    • October 2024 - January 2025
    • A unified system for face recognition (verification, identification, expression, age, gender, and pose estimation).
    • Included human body pose estimation and an integrated GUI for seamless user interaction.
  • Speech Classification
    • Tools: Python, Scipy, Matplotlib, sounddevice
    • January 2025
    • A multi-classifiers ML system that classifies audio signals into two classes (“forward” and “backward”).
    • Utilized spectrogram analysis, Principal Component Analysis (PCA), and model training and evaluation workflow.
  • Text-Based LLM Chat Interface and Multi-Modal LLM App with Text and Image Inputs
    • Tools: Python, Colab, ngrok, FastAPI
    • October 2024
    • Developed a GUI for LLMs with text and image inputs through Colab-hosted APIs.
  • GoogLeNet on Labeled Faces in the Wild (LFW) Dataset
    • Tools: GoogLeNet, TensorFlow, GPU, Python
    • November 2024
    • Trained a GoogLeNet model for face recognition on the LFW dataset over GPU.
  • Hyperspectral Imaging: Spectral Image Analysis
    • Tools: Nuance Ex-VIS Camera, MATLAB
    • April 2024
    • Captured and analyzed spectral images under simulated daylight.
  • Undergraduate Thesis Project: Amharic Character Recognition with U-Net
    • Tools: Sequential CNN, Factored CNN, U-Net, Python
    • January 2022 - June 2022
    • Pre-processed datasets from literature sources and implemented different architectures.
    • Achieved 93% accuracy on Amharic character recognition.
  • Research Project: China-ASEAN Online Program on Data Science and Big Data
    • Tools: Python, Keras
    • September 2020 - December 2020
    • Led a four-person research team on Named Entity Recognition (NER) in Natural Language Processing.
    • Designed and implemented NLP models for entity extraction and classification.
  • IChemE Process Design Project: Process Simulation and Optimization
    • Tools: Aspen Plus, AutoCAD
    • November 2021 - June 2022
    • Optimized vertical flash drum equipment sizing and integrated comprehensive process flow with P&IDs.

Skills

  • Programming Languages: Python, MATLAB, Kotlin
  • ML/DL Libraries: PyTorch, TensorFlow, OpenCV
  • Other Tools & Technologies: Microsoft Office, LaTeX (Overleaf), Git, UNIX, HTML/CSS, SQL, Zemax
  • Research Skills: Literature Review, Data Analysis, Good Laboratory Practice, Problem Solving
  • Languages: English (IELTS: 7.0, Duolingo: 135), Mandarin Chinese (HSK 5), Amharic (Native)

Honors and Awards

  • Erasmus Mundus Joint Master’s Degree Scholarship
    • Education, Audiovisual and Culture Executive Agency, European Commission, September 2023
    • Associated with Erasmus Mundus Joint Master Degree Photonics for Security, Reliability, and Safety (PSRS)
  • Distinguished International Student Award
    • Tianjin University, July 2018
    • Awarded Full Attendance and Second Prize Scholarships for Propaedeutic Education in Chinese Language
  • Chinese Government Scholarship
    • Chinese Scholarship Council, September 2017
    • Associated with Tianjin University, School of Chemical Engineering

Certifications

  • MATLAB Fundamentals, MathWorks, Issued Mar 2025,
  • Android Developer Fundamentals, Udacity, Issued Oct 2024,
  • OpenCV Bootcamp, OpenCV University, Issued Feb 2024, Credential ID: 0f7c19fa80234aca89476c3831b22246,
  • Google Data Analytics Professional Certificate, Google, Issued Jun 2023, Credential ID: 9WCMZSHPFEE3,
  • Chinese Proficiency Test, HSK (Level 5), Center for Language Education and Cooperation, Issued May 2022, Credential ID: H52205013394,
  • Machine Learning, Stanford University, Issued Apr 2021, Credential ID: 5BLZTTDXUK6V,

References

  1. Nathalie Destouches | Professor, Hubert Curien Laboratory
    University of Lyon, University of Saint-Etienne
    Email: nathalie.destouches@univ-st-etienne.fr
    Relationship: EMJMD PSRS Head Coordinator and Fourier Optics Instructor at UJM

  2. Polina Kuzhir | Professor, Department of Physics and Mathematics
    University of Eastern Finland (UEF)
    Email: polina.kuzhir@uef.fi
    Relationship: Advanced Biomedical Optics course Instructor at UEF

  3. Amine Nait-Ali | Professor, Biometrics Research Group
    University of Paris-Est Créteil (UPEC)
    Email: naitali@u-pec.fr
    Relationship: Local PSRS Coordinator and Biometrics II course Instructor at UPEC

  4. Mazen Mel
    Senior Engineer, Computational Sensing Group
    Sony Europe Limited – Stuttgart Technology Center (STC)
    Email: mazen.mel@sony.com
    Relationship: Master’s thesis supervisor at Sony

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