Full name: Seyedsaman Emami

Preferred name: Saman

Ph.D. (Cum laude), Assistant Professor at UAM.


Academic Background

  • Ph.D. in Computer and Telecommunications Engineering, Cum laude - UAM (2019-2024)
  • Visiting Ph.D. student, Telecommunications Engineering - University of Padua (Nov 2022 - Mar 2023)
  • MSc, Financial Engineering - IAU University (2016-2018)
  • BSc, Industrial Engineering - IAU University (2008-2012)

Current Positions

Assistant Professor

Universidad Autónoma de Madrid - UAM
Nov 2025 - Present

Teaching

  • Design and Analysis of Software
  • Programming Languages
  • Communication Networks
  • Biomedical Engineering

Research

  • Conducting research on advanced machine learning models, including gradient boosting and deep neural networks.
  • Building machine learning models focused on learning theory and algorithmic efficiency.
  • Collaborating with the GAA research group on AI initiatives.
  • Publishing peer-reviewed articles in international journals and conferences.

Previous Positions

Researcher and University Teacher Assistant

Universidad Autónoma de Madrid - UAM
Aug 2020 - Sep 2025

  • Run developed models with specific datasets and settings on a cluster server.
  • Create a novel training procedure for shallow neural networks.
  • Formulate a new algorithm in the Gradient Boosting Machine area.
  • Create, develop, and formulate generic machine learning models.
  • Design a novel Deep Neural Network for image processing.
  • Teaching Java and Computer Networks laboratory courses.

Visiting professor

Universitat de les Illes Balears - UIB
Sep 2025 - Oct 2025

  • Teaching undergraduate programming languages course.

Co-founder and CTO

NapCat - napcat.io
Jan 2023 - Jan 2024

  • Developing Machine Learning Models (NLP, LLM, CNN, GAN).
  • Industry Research and Innovation.
  • Collaboration with External Partners.

Programming Skills

Java, Python, Cython, Java, SQL, HTML/CSS, Linux/Unix & Bash, LaTeX, Markdown

ML Libraries

NumPy, Pandas, SciPy, Scikit-learn, XGBoost, Keras, PyTorch, TensorFlow, Gradio, HuggingFace

Cloud Platforms

AWS, Azure, Google Cloud, HuggingFace

Certifications

View all certifications on LinkedIn

Recommendations

View received recommendations here

Publications

For scientific papers and research work, visit my Google Scholar .