PhD Theses

Welcome Our New PhD Student: Niki Michalopoulou

/ / Lab News, PhD Theses

The SIPPRE Research Group is delighted to welcome Niki Michalopoulou as a new PhD candidate at the Department of Electrical & Computer Engineering, University of Peloponnese.

Her doctoral research, supervised by Assoc. Prof. Athanasios Koutras, will focus on EEG-Based Neurofeedback and AI for Learning and Memory.

Niki’s work will explore how electroencephalography (EEG) can be combined with neurofeedback and advanced artificial intelligence techniques to enhance cognitive processes such as learning and memory. The project aims to develop intelligent closed-loop systems that personalize training, adapt in real-time to brain activity, and open new possibilities for cognitive enhancement in healthy individuals.

This research lies at the intersection of neuroscience, AI, and brain–computer interfacing, and aligns with SIPPRE’s mission to push the boundaries of signal processing and pattern recognition in biomedical applications.

We are excited to have Niki join our team and look forward to the innovative contributions she will bring to our research community.

Welcome Our New PhD Student: Niki Michalopoulou Read More »

PhD Position on EEG signal analysis of epileptic patients

/ / PhD Theses

PhD Position on Epileptogenic zone location of epileptic patients using EEG signal analysis during whole night sleep

SIPPRE Research group is currently offering one PhD Position in the field of Epileptogenic zone location of epileptic patients using EEG signal analysis during whole night sleep. Further information can be inquired by sending an e-mail to sippre-group [at] gmail.com and koutras [at] uop.gr

PhD Position on EEG signal analysis of epileptic patients Read More »

PhD Position in Speech Recognition using Deep Learning

/ / PhD Theses

PhD Position in Speech recognition using Deep Learning

SIPPRE Research group is currently offering one PhD Position in the field of Speech Recognition using Deep Learing. The task of this thesis is the development of methods and software for automated speech processing and recognition in noisy and multi-simultaneous speaker environments using Deep Learning. Further information can be inquired by sending an e-mail to sippre-group [at] gmail.com

PhD Position in Speech Recognition using Deep Learning Read More »

PhD position in Music Analysis using Deep Learning

/ / PhD Theses
PhD Position in Speech and Music Analysis using Deep Learning techniques

SIPPRE research group is currently offering one PhD position in the field of Music Analysis using Deep Learning techniques. The task of this thesis is the development of methods and software for automated music information retrieval and analysis using Deep Learning. Further information can be inquired by sending a mail to sippre.group@gmail.com 

PhD position in Music Analysis using Deep Learning Read More »