PhD Theses

PhD Success at SIPPRE: Advancing AI-Driven Breast Cancer Detection

The SIPPRE Research Group (Signal, Image Processing and Pattern Recognition Group) proudly announces the successful defense of the PhD thesis of Dr. Dionysios Anyfantis, entitled:

“Study and Development of an Automated System for the Detection and Recognition of Suspicious Cancerous Regions in Mammography.”

This achievement represents a major milestone for both the researcher and SIPPRE, further reinforcing the group’s strong research footprint in artificial intelligence for medical imaging and healthcare innovation.

Research Impact & Innovation

Dr. Anyfantis’ doctoral research delivers a comprehensive, end-to-end framework for automated breast cancer detection, addressing one of the most critical challenges in modern diagnostic radiology. The work combines advanced image processing, machine learning, and pattern recognition techniques to identify and classify suspicious regions in digital mammograms with high reliability.

Key contributions of the thesis include:

  • Sophisticated mammographic image enhancement and segmentation methods
  • Intelligent feature extraction and classification pipelines
  • Computer-Aided Diagnosis (CAD) systems designed to support radiologists in early and accurate cancer detection

The proposed system demonstrates how AI-driven tools can enhance diagnostic confidence, reduce interpretation variability, and contribute to improved patient outcomes.

Strengthening SIPPRE’s Research Vision

This PhD thesis is a flagship example of SIPPRE’s ongoing commitment to:

  • Cutting-edge medical image analysis
  • Explainable and trustworthy AI
  • Translational research bridging engineering and clinical practice

The results of this work enrich SIPPRE’s research portfolio and open new avenues for future collaborations in biomedical imaging, clinical AI systems, and digital health technologies.

Congratulations

The SIPPRE Research Group extends its warmest congratulations to Dr. Dionysios Anyfantis on this outstanding accomplishment and wishes him continued success in his scientific and professional journey.

PhD Success at SIPPRE: Advancing AI-Driven Breast Cancer Detection Read More »

Welcome Our New PhD Student: Niki Michalopoulou

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 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 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 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 »