Mitianoudis Nikolaos

RANK:	Professor
SECTOR:	Electronics and Information Systems Technology Sector
LABORATORY:	Electrical Circuits, Signal and Image Processing Laboratory
EXPERTISE:	Digital Image and Audio Processing

CONTACT DETAILS

ADDRESS:	University Campus Kimmeria, Building B, Office 1.17
E-MAIL:
TELEPHONE:	+30 25410 79572
PERSONAL WEBSITE:	http://utopia.duth.gr/~nmitiano
CV:

SCIENTIFIC INTERESTS

Deep Learning

Audio Processing

Audio Source Separation

Digital Image Processing

Image Analysis Bases learning

Image Fusion

Statistical Signal Processing

UNDERGRADUATE COURSES

Electrical Circuits ΙΙ

Audio Technology

Digital Signal Processing

POSTGRADUATE COURSES

Signal and Image Coding

SHORT CV

Nikolaos Mitianoudis received the Diploma in Electronic and Computer Engineering from the Aristotle University of Thessaloniki, Greece in 1998. He received the MSc in Communications and Signal Processing from Imperial College London, UK in 2000 and the PhD in Audio Source Separation using Independent Component Analysis from Queen Mary, University of London, UK in 2004. Between 2003 and 2009, he was a Research Associate at the Electrical and Electronic Engineering Department at Imperial College London, UK working on the Data Information Fusion-Defense Technology Centre project “Applied Multi-Dimensional Fusion”, sponsored by General Dynamics UK and QinetiQ. From 2009 until 2010, he was an Academic Assistant at the International Hellenic University in Thermi, Greece. In 2010, he joined the Electrical and Computer Engineering Department at the Democritus University of Thrace, Greece, where he currently serves as a Professor in Audio and Image Processing. His research interests include applications of Statistical Signal Processing, Machine Learning, Audition and Vision.

RESEARCH PROJECTS

“Environmental Sensing with Backscatter Radio and Backscatter Sensor Networks, RFIDs. (BLASE)”, Technical University of Crete (2013-2014) – Research Collaborator.

“Frequency-Domain 3D structure and Motion Estimation (F3SME)” – General Secretariat of Research and Technology, Greece. Action ‘Support of post-doctoral researchers’ (2012-2015) – Principal Investigator.
“Textile digitisation tools and methods for cultural heritage (TEXTaiLES)”- HORIZON-RIA (2024-2027) – Research Scientist
“Study, Design, Development and Implementation of a holistic system for the Improvement of the Quality of Life and Activity for the Elderly (ASPiDA)” Regional Development Fund (2022-2023) – Research Scientist

SELECTED PUBLICATIONS

Stogiannopoulos Th., Cheimariotis G.A., Mitianoudis N., “A Study of Machine Learning Regression Techniques for Non-Contact SpO2 Estimation from Infrared Motion-Magnified Facial Video”, Information, 14(6), 301, 2023.

Bouzos O., Andreadis I., Mitianoudis N., “A Convolutional Neural Network-based Conditional Random Field model for Structured Multi-Focus Image Fusion Robust to Noise”, IEEE Trans. on Image Processing, Vol. 32, pp. 2915-2930, 2023.

Sgouros T., Bousis A., Mitianoudis N., “An efficient Short-Time Discrete Cosine Transform and Attentive MultiResUNet framework for Music Source Separation “, IEEE Access, Vol. 10, pp. 119448-119459, 2022.

Sgouros T., Mitianoudis N., “A novel Directional Framework for Source Counting and Source Separation in Instantaneous Underdetermined audio mixtures”, IEEE Trans. on Audio, Speech and Language Processing, Vol. 28, pp. 2025 — 2035, 2020.

Bouzos O., Andreadis I., Mitianoudis N., “Conditional Random Field Model for Robust Multi-Focus Image Fusion”, IEEE Transactions on Image Processing, Vol. 28, No. 11, pp. 5636-5648, Nov. 2019.
Detsikas N., Mitianoudis N., Pratikakis I. “MResTNet: A Multi-Resolution Transformer Framework with CNN Extensions for Semantic Segmentation”, Journal of Imaging, 10(6), 125, 2024.
Detsikas N., Mitianoudis N., Papamarkos N., “A Dilated MultiRes Visual Attention U-Net for Historical Document Image Binarization”, Signal Processing: Image Communication, Vol. 122, 117102, March 2024.
Arampatzakis V., Pavlidis G., Mitianoudis N., Papamarkos N., “Monocular Depth Estimation: a Thorough Review ” IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 46, No. 4, April 2024.
Stogiannopoulos Th., Cheimariotis G.A., Mitianoudis N., “A Study of Machine Learning Regression Techniques for Non-Contact SpO2 Estimation from Infrared Motion-Magnified Facial Video”, Information, 14(6), 301, 2023.
Bouzos O., Andreadis I., Mitianoudis N., “A Convolutional Neural Network-based Conditional Random Field model for Structured Multi-Focus Image Fusion Robust to Noise”, IEEE Trans. on Image Processing, Vol. 32, pp. 2915-2930, 2023.
Sgouros T., Bousis A., Mitianoudis N., “An efficient Short-Time Discrete Cosine Transform and Attentive MultiResUNet framework for Music Source Separation “, IEEE Access, Vol. 10, pp. 119448-119459, 2022.