Applied Machine Learning

The Applied Machine Learning group aims to develop and apply novel Machine Learning methods for real-world applications. Emerging digitalization allows companies from different fields of industry to produce and collect data from various resources. This is realized by technologies like the Internet of Things (IoT), cyber-physical systems and cloud-computing. To effectively handle this big data, Deep Learning and Signal Processing techniques are needed to provide powerful and promising solutions.

 

Group Head

Dr. Dario Zanca

Room: Room 01.016

Group Members

Students

If you are interested in writing a Bachelor’s or Master’s thesis in our group, please check the lab’s Student Theses and Jobs.

    • Nils Steinlein
      The creation and evaluation of a video-based polar bear Re-Identification dataset on current Re-ID methods
    • Sara Zarifi
      Lynx Re-Identification from Camera Trap Images in the Wild

     

    Projects

    2025

    2024

    2023

    2022

    2021

    2020

    2019

    2017

    2016

    2015