SIPPRE

Assistant Professor @ECE UoP

COURSE LAUNCH: Decoding Life Signals: Innivations on Biomedical Engineering 2025 Begins!

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The Signal, Image Processing and Pattern Recognition Research Group (SIPPRE) is excited to announce the commencement of our EUNICE course “Decoding Life Signals: Innovations in Biomedical Engineering.”

We’re thrilled to welcome 23 talented students from Italy, Portugal, Germany, Ukraine, Poland, Spain and Greece to this innovative program. The international diversity of our cohort promises to bring unique perspectives and collaborative opportunities to our biomedical signal processing journey.

Starting this February, our students will:
– Master real-time biosignal acquisition and analysis
– Develop brain-computer interfaces
– Apply machine learning in healthcare
– Collaborate on international projects

First Lecture: 17/2/2025
Follow our progress and student achievements throughout the semester!

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Special Issue on Audio, Speech and Music Processing and Analysis

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We are excited to announce that members of the SIPPRE Research Group are serving as Guest Editors for a special issue of the journal Electronics, titled:

“Recent Advances in Audio, Speech, and Music Processing and Analysis”

This special issue aims to highlight state-of-the-art research in audio, speech, and music processing, focusing on emerging applications, algorithms, and systems. Topics of interest include:

  • Speech recognition, speaker verification, and voice synthesis.
  • Audio compression and noise cancelation.
  • Music information retrieval and recommendation systems.
  • Autonomous and semi-autonomous computer musicians.

Guest Editors:

  • Dr. Athanasios Koutras (University of the Peloponnese, Greece)
  • Dr. Chrisoula Alexandraki (Hellenic Mediterranean University, Greece)

Submission Details:

  • Deadline: January 15, 2025
  • Impact Factor: 2.6
  • CiteScore: 5.3

This is an excellent opportunity for researchers and practitioners to disseminate innovative work in the field of audio, speech, and music processing. Accepted manuscripts will be published open-access, ensuring global visibility and accessibility.

For more information and manuscript submissions, visit the Special Issue Page.

We look forward to your contributions to this exciting field of research!

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Announcement: Special Issue Guest Edited by SIPPRE Lab Members

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We are delighted to announce that members of the SIPPRE Research Group are serving as Guest Editors for a special issue of the journal Applied Sciences, titled:

“Diagnosis of Medical Imaging”

This special issue focuses on the latest advancements in medical imaging, including novel techniques, machine-learning approaches, and innovative diagnostic tools that push the boundaries of healthcare technology.

Guest Editors:

Dr. Athanasios Koutras, Dr. Evangelos Dermatas, Dr. Ioanna Christoyianni, Dr. George Apostolopoulos

Submission Details:

  • Deadline: April 20, 2025
  • Impact Factor: 2.5
  • CiteScore: 5.3

We invite researchers, practitioners, and industry professionals to contribute their work and share insights into this exciting field. Accepted papers will be published in an open-access format, ensuring maximum visibility and accessibility.

For more information and to submit your manuscript, visit the Special Issue Page.

We look forward to receiving your contributions and advancing the field of medical imaging together!

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New Publication by PhD Student Dionysios Anyfantis

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We are proud to announce the latest publication from our lab in the prestigious journal Electronics:

“Revealing Occult Malignancies in Mammograms Through GAN-Driven Breast Density Transformation”

Authored by Dionysios Anyfantis, PhD student at the SIPPRE Lab, in collaboration with our team, this work explores the application of CycleGANs to transform mammograms of dense breast tissue into lower-density representations. By doing so, the study significantly improves the detection of hidden abnormalities, contributing to the advancement of breast cancer diagnostics.

This innovative research highlights the intersection of deep learning and medical imaging, showcasing how AI can revolutionize healthcare and assist radiologists in making more accurate diagnoses.

You can access the full paper here.

Congratulations to Dionysios Anyfantis for this outstanding achievement and his continued contributions to medical imaging and AI research. We look forward to seeing more groundbreaking work from him in the future!

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New Course – Decoding Life Signals: Innovations in Biomedical Engineering

/ / Courses

We are excited to announce a new course, “Decoding Life Signals: Innovations in Biomedical Engineering,” offered by Prof. Athanasios Koutras, Dr. Nyi Nyi Tun, and Dionysios Anyfantis, through the EUNICE European University Alliance.

About EUNICE

EUNICE (European University for Customized Education) is a prestigious alliance of nine universities across Europe, designed to foster innovation, interdisciplinary learning, and international collaboration. EUNICE aims to create a unified academic environment, offering students diverse opportunities to engage in cutting-edge courses, such as this one, that address global challenges and drive impactful research.

Course Highlights

This interdisciplinary course explores the fascinating world of biomedical signals (EEG, ECG, EMG) and provides a blend of theoretical and practical knowledge:

  • Data Analysis and Machine Learning: Process, analyze, and visualize biomedical data using tools like Python and MNE-Python.
  • Real-World Applications: Investigate applications in healthcare, such as Brain-Computer Interfaces (BCIs) and neural signal processing.
  • Project-Based Learning: Develop hands-on experience through projects tackling real-world biomedical challenges.
  • Expert Guidance: Learn from distinguished faculty and guest lecturers, bringing expertise from both academia and industry.

Course Details

  • Language of Instruction: English
  • Delivery Mode: Online, live sessions with practical exercises and collaborative projects.
  • Duration: February to May 2025 (12 weeks)
  • Eligibility: Open to Bachelor’s and Master’s students across EUNICE partner universities, with interest or background in Python programming and biomedical signal processing.

Additional Features

  • Live Demonstrations: Practical sessions with OpenBCI and EmotiBit, showcasing EEG and physiological signal acquisition techniques.
  • International Collaboration: Work in teams with students from various EUNICE universities, fostering global connections and interdisciplinary learning.
  • Resources: Access all course materials, including lecture notes, projects, and tools, through the SIPPRE Lab’s repository and GitHub page.

Join us in this unique opportunity to explore the cutting-edge intersection of technology and healthcare while benefiting from EUNICE’s commitment to international collaboration and quality education.

For enrollment details, visit the EUNICE website at EUNICE Courses or contact Prof. Athanasios Koutras at koutras@uop.gr.

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New Addition to the SIPPRE Lab: Tello RoboMaster TT Drone

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We are excited to announce the latest addition to the SIPPRE Lab’s equipment: the Tello RoboMaster TT drone! This programmable drone, compatible with Python, opens up exciting possibilities for innovative research and student projects.

The RoboMaster TT will be a centerpiece in various projects, including:

  • Brain-Computer Interface (BCI) Applications: Controlling the drone using brain and muscle signals to explore advanced human-machine interaction techniques.
  • Computer Vision Programs: Implementing face detection, face recognition, and person tracking to enhance autonomous navigation capabilities.
  • Swarm Intelligence Studies: Investigating collaborative drone behaviors and multi-agent systems, which have applications in search and rescue or environmental monitoring.
  • Gesture-Based Control: Designing systems where gestures captured by cameras or motion sensors control the drone’s movements.
  • Augmented Reality Integration: Combining drone operation with augmented reality for immersive experiences in education or entertainment.

This versatile drone will also serve as a cornerstone for final diploma thesis projects, providing students with hands-on experience in signal processing, machine learning, robotics, and more.

Stay tuned for updates as we explore the limitless potential of this powerful tool in research and education!

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Welcoming Dr. Nyi Nyi Tun to the SIPPRE Lab

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We are delighted to welcome Dr. Nyinyi Tun to the SIPPRE Lab as a postdoctoral researcher! Dr. Tun joins us from Kyushu University, where he made significant contributions to biomedical engineering and brain-computer interface (BCI) research.

At the SIPPRE Lab, Dr. Tun will work alongside Prof. Athanasios Koutras on an exciting project focusing on Silent Speech BCI. This cutting-edge research aims to develop novel EEG modalities to decode speech intentions directly from brain activity, pushing the boundaries of non-invasive communication technologies.

Dr. Tun brings a wealth of expertise and a passion for innovation to this collaboration, and we are thrilled to have him as part of our team.

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Presentation of Diploma Thesis by Dimitrios Dafnis

/ / Thesis Presentations

We are pleased to announce the successful completion and presentation of the diploma thesis by Dimitrios Dafnis titled:

“Ανάπτυξη Εφαρμογής για Προσωποποιημένη Γυμναστική και Ανάλυση Αποδοτικότητας”
(“Developing an App for Personalized Fitness and Efficiency Analysis”)

This thesis focused on the development of an innovative mobile application designed to provide personalized fitness programs and analyze user performance. Key features of the app include:

  • Integration with smartwatches to record biometric data such as heart rate and oxygen saturation during workouts.
  • Dynamic visual representations to guide users in performing exercises correctly.
  • Data visualization through embedded charts for progress monitoring.
  • Step tracking and data categorization in a database, enabling users to set and achieve personal goals over various time intervals.

The project combines technological innovation with a focus on human wellness, emphasizing personalized exercise and fitness improvement.

The thesis will be presented on October 14, 2024, via teleconference, under the supervision of Associate Professor Athanasios Koutras, along with committee members Prof. Ioannis Kougias and Prof. Anastasios Drosopoulos.

Congratulations to Dimitrios Dafnis for his excellent work and contribution to the advancement of health and fitness technology!

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Presentation of Diploma Thesis by Konstantinos Stathoulas and Christina Konini

/ / Thesis Presentations

We are pleased to announce the successful completion and presentation of the diploma thesis by Konstantinos Stathoulas and Christina Konini, titled:

“Σχεδίαση και Ανάπτυξη Εφαρμογής Κινητού για την Ενσωμάτωση και Παρουσίαση Διαδικτυακού Ραδιοφωνικού Σταθμού”
(“Design and Development of a Mobile Application for Integrating and Presenting an Internet Radio Station”)

This thesis focused on designing and developing an innovative mobile application to enable seamless access to and listening to an internet radio station. Key features of the application include:

  • Real-time audio streaming with robust data management and internet service integration.
  • A user-friendly and intuitive interface offering features like recording, playback of archived shows, and personalized listening experiences.
  • Analysis of user needs, architectural design, software development, and evaluation through user testing to deliver a fully functional mobile application.

The project successfully combines technical innovation with enhanced user accessibility, providing a new communication and content distribution channel for radio stations.

The thesis will be presented on September 26, 2024, via teleconference, under the supervision of Associate Professor Athanasios Koutras, along with committee members Prof. Ioannis Kougias and Lecturer Georgios Asimakopoulos.

Congratulations to Konstantinos Stathoulas and Christina Konini for their excellent work and contribution to advancing digital media technology!

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Keynote Speech by Prof. Athanasios Koutras at the IEEE EMBS SAC Summer/Winter School

/ / Lab News

We are proud to announce that Prof. Athanasios Koutras, Associate Professor at the Electrical & Computer Engineering Department, University of Peloponnese, and founder of the SIPPRE Lab, will be delivering a keynote speech at the prestigious IEEE EMBS SAC Summer/Winter School.

🗓️ Date: Wednesday, September 25, 2024
🕖 Time: 07:00 PM – 08:00 PM (GMT+9, JST Time Zone)
🎙️ Title: “Integrating Generative AI into BCI: Transforming Healthcare with Intelligent Systems”

During this session, Prof. Koutras will explore the fascinating intersection of Generative AI and Brain-Computer Interfaces (BCI), highlighting how these technologies are shaping the future of healthcare. Key topics include:

  • How BCIs translate brain signals into commands for neural rehabilitation and communication devices.
  • The role of Generative AI in enhancing signal processing and neural decoding.
  • Applications in neuroprosthetics, augmented reality (AR), and virtual reality (VR).
  • Ethical considerations and the need for interdisciplinary collaboration in this evolving field.

This keynote promises to provide deep insights into how AI-powered BCIs are revolutionizing healthcare, offering personalized treatments and improved outcomes for individuals with motor disabilities.

Join us for this exciting session to learn more about the transformative potential of Generative AI and BCIs in healthcare innovation!

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