Biosketch

Dimitris Makropoulos was born in 1979. He studied physics at the University of Athens and graduated in 2004. From 2004 to 2007 he lived in France where he pursued a D.E.A. in Analysis and Modeling in International Economics at the University Paris X-Nanterre. In 2012, he obtained a master’s degree in Mathematical Modeling in Modern Technologies and Financial Engineering from the School of Applied Mathematics and Physical Sciences, NTUA. He received his Diploma degree in Electrical Engineering and Computer Science from the NTUA in October 2022. Currently he is pursuing a Ph.D. in the CVSP Group, School of E.C.E., NTUA, under the supervision of Prof. Petros Maragos. His main research interests lie in the field of Signal Processing, Computer Vision, Deep Learning and Mathematical Modeling.

Conference Publications

• D. N. Makropoulos, A. Tsiami, A. Prospathopoulos, D. Kassis, A. Frantzis, E. Skarsoulis, G. Piperakis and P. Maragos,
  Convolutional Recurrent Neural Networks for the Classification of Cetacean Bioacoustic Patterns,
  in Proc.IEEE Int’l Conf. on Acoustics, Speech and Signal Processing (ICASSP–23), Rhodos Island, Greece, June 2023.
  

Diploma Thesis

• Dimitris Makropoulos,
  Deep Learning techniques for the Recognition of Cetaceans’ Biosignals
  School of ECE, National Technical University of Athens, Greece
  

The documents contained in these directories are included by the contributing authors as a means to ensure timely dissemination of scholarly and technical work on a non-commercial basis. Copyright and all rights therein are maintained by the authors and by other copyright holders, notwithstanding that they have offered their works here electronically. It is only allowed to copy this information if you adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.

© 1980-2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.