Explore current semester projects and thesis opportunities in acoustic sensing, signal processing and embedded systems. You can also browse selected theses already completed with the group.

Available topics

Choose a project that matches your interests. Semester projects often continue as bachelor's or master's theses.

BProj/MProj = bachelor's/master's project, BT/MT = bachelor's/master's thesis. A project usually precedes the thesis, which then typically builds on it.

TopicTypeAreasSupervisor
Acoustic Drone Detection on the STM32 Platform Design and evaluation of a compact audio drone-detection pipeline with future embedded deployment in mind.BProj
  • Acoustic event detection
  • Sound and speech classification
  • Acoustic sensors and embedded systems
Ing. Martin Maxa
Android Application for Acoustic Pulse Detection An Android application combining acoustic-pulse detection with TDoA and multilateration algorithms.BProjMProj
  • Acoustic event detection
  • Sound source localization
Prof. Ing. Jan Holub, Ph.D.
Autonomous Acoustic Sensor Design and Development An energy-efficient sensor with an accelerated neural network for detecting and classifying safety-related acoustic events.BProj
  • Acoustic event detection
  • Sound and speech classification
  • Acoustic sensors and embedded systems
Prof. Ing. Jan Holub, Ph.D.
Design and Development of a Microphone Array for Drone Detection Design, fabrication, and experimental evaluation of a microphone array for capturing acoustic drone signatures.BProjMProj
  • Acoustic event detection
  • Sound source localization
  • Acoustic sensors and embedded systems
Ing. Tomáš Drábek, Ph.D.
Firmware for Multi-Microphone PDM Acquisition on STM32H5 Multi-channel acquisition from PDM MEMS microphones using SAI and DMA, focused on synchronized recording for future sound localization.BProj
  • Sound source localization
  • Acoustic sensors and embedded systems
Ing. Martin Maxa
Implementation of a GPS Subsystem for Position and Orientation of an Acoustic Unit Integration of a GNSS module, precise timing, and IMU fusion for an autonomous acoustic node.BProj
  • Sound source localization
  • Acoustic sensors and embedded systems
Ing. Kamil Herman
IMU Integration and Orientation Algorithms for Precise Unit Tilt and Heading Fusion of accelerometer, gyroscope, and GPS data for precise acoustic-node orientation and movement detection.BProj
  • Sound source localization
  • Acoustic sensors and embedded systems
Ing. Kamil Herman
Map-Based Visualization of Detected Acoustic Events A responsive mapping application for live display of acoustic detectors, their status, and localized events.BProj
  • Sound source localization
doc. Ing. Jakub Svatoš, Ph.D.
Software for an Acoustic Surveillance System Software for acoustic-detector initialization, anomaly-triggered recording, and server communication.BProjMProj
  • Acoustic event detection
  • Acoustic sensors and embedded systems
Prof. Ing. Jan Holub, Ph.D.
Speech Recognition in Radio Communications Experiments with digital preprocessing of radio communications to improve automatic speech recognition.BProjMProj
  • Sound and speech classification
Prof. Ing. Jan Holub, Ph.D.
Testing Methods of Subjective Parameters for Spatial Audio with Head Tracking Design of new subjective tests for spatial audio with head tracking and a supporting test application.BProjMProj
  • Sound and speech classification
Ing. Jakub Turinský
Web Platform for Data Acquisition and Visualization from Acoustic Units A backend and web interface for secure collection, storage, and live visualization of acoustic-unit telemetry.BProjMProj
  • Acoustic event detection
  • Sound source localization
doc. Ing. Jakub Svatoš, Ph.D.

Areas for individual arrangements

Have a related idea of your own? Contact us and we will shape a topic together.

Acoustic event detection

Build systems that reliably detect gunshots, drones and other relevant sounds in real-world noise.

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Sound source localization

Work with synchronized sensors, TDoA, positioning and orientation to estimate where a sound came from.

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Sound and speech classification

Explore signal features and machine-learning models for recognizing acoustic events and speech.

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Acoustic sensors and embedded systems

Develop microphone hardware, low-power firmware and acquisition pipelines for autonomous acoustic nodes.

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Defended theses

A curated selection of bachelor's, master's and doctoral theses completed with the group.

2025

2024

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2023

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2020

2019