Undergraduates

Why is it important to choose your thesis topic early?

Choosing your bachelor’s thesis topic early can make a huge difference in your academic journey. Here’s why:

  1. More creativity – Starting early gives you time to explore different fields and find a topic that truly interests you, keeping you motivated.
  2. Linking to internships – An early decision allows you to connect your thesis with hands-on experiences from labs or internships, making your work more practical and valuable.
  3. Better time management – With more time, you can plan efficiently, consult with supervisors, and avoid last-minute stress.
  4. Join real research – Early choice secures your spot in exciting research projects, often collaborating with leading experts.

Overview of Bachelor’s and Master’s Theses

Our research group, OptimCyb at the University of Chemistry and Technology in Prague, provides students with opportunities to work on cutting-edge interdisciplinary projects. Our students tackle contemporary challenges at the intersection of chemical engineering, artificial intelligence, signal processing, and mathematical modeling.

Below is a sample of Bachelor’s and Master’s thesis topics addressed within our group:

Bachelor’s Theses

  • Optimization of Chemical Processes Using Machine Learning
    • The goal of this thesis is to develop predictive models for optimizing manufacturing processes in the pharmaceutical industry using machine learning algorithms.
  • Analysis of Biological Signals Using Advanced Data Processing Techniques
    • This work focuses on applying modern signal analysis methods in medicine, including pattern recognition in biological data.
  • Modeling Mass and Energy Transfer in Bioreactors
    • This project involves mathematical modeling of processes in bioreactors to improve the efficiency of industrial bio-pharmaceutical production.

Master’s Theses

  • Development of Predictive Models for Personalized Medicine
    • The thesis focuses on creating models that predict treatment effectiveness for individual patients based on their genetic and biological data.
  • Machine Learning for Quality Control in Chemical Engineering
    • This project deals with the development of machine learning systems that automate quality control processes in chemical industry manufacturing plants.
  • Simulation of Dynamic Systems in Chemical Processes
    • This thesis is dedicated to advanced simulations of dynamic systems in chemical engineering to optimize operational parameters.

Become a Part of Our Journey Today. Join Us!