SIPPRE

Assistant Professor @ECE UoP

Paper presentation at BIBE 2020

/ / Publications

Paper presentation at the BIBE 2020 Conference

SIPPRE Group has presented the paper with title: “Fusing Low-Level Visual Features and High-Level Semantic Features for Breast Cancer Diagnosis in Digital Mammograms” by George Apostolopoulos, Ph.D., Thanasis Koutras, Dionissys Anyfantis, I. Christoyianni and Evangelos Dermatas, at the 20th IEEE International Conference on Bioinformatics and Bioengineering (BIBE 2020) Conference. You can see the presentation of our work here!

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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

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SIPPRE Group at BIBE 2020 Conference

/ / Publications

Paper accepted to be presented in BIBE 2020 Conference

We are pleased to announce that our paper with title: “Fusing Low-Level Visual Features and High-Level Semantic Features for Breast Cancer Diagnosis in Digital Mammograms” by SIPPRE Group members George Apostolopoulos, Ph.D., Thanasis Koutras, Dionissys Anyfantis, I. Christoyianni and Evangelos Dermatas, has been accepted for presentation to the 20th IEEE International Conference on Bioinformatics and Bioengineering (BIBE 2020) Conference that will take place virtually on October 26-28, 2020 in USA!

Congrats to all the members!

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Motor Imagery BCI experiments at the Lab

/ / Brain Computer Interface

Motor Imagery BCI experiments at the Lab

Summer is the perfect time for experimentation and fine tuning of our Brain Computer Interface system. That’s why we arranged a complete two days session of recordings and playing around with our OpenBCI EEG system and a small Arduino controlled vehicle. Lab member Thodoris Pantazopoulos, Electrical and Computer Engineer student from the University of Patras who is responsible for the experiments, is shown in action on the following video controlling the vehicle using left and right imaginary movements.
For the 8-channel EEG acquisition, OpenBCI is used to capture Thodoris’ brain activity. Data from the C1, C2, C3, C4, CP1, CP2, CP3, and CP4 EEG channels are captured wirelessly on the right laptop,streamed to the network using the LSL protocol, captured and processed by the laptop on the left. On this machine, data are classified into movements using a  previously trained pattern recognition system and finally converted to commands that are being sent to the vehicle when it waits for directions.
More details on the procedure will be published in short time, so stay tuned!

Would you like to join our experiments? Feel free to drop us a line at sippre-group [at] gmail.com or contact directly Dr. Athanasios Koutras at koutras [at] uop.gr to arrange a recording session!

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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

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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 

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