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Ilias Papastratis

Machine Learning Researcher

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About

Hello I am Ilias Papastratis, an AI researcher with focus on deep learning and computer vision. I have a MEng in Electrical Engineering and a MSc in Artificial Intelligence. What do I do in my free time ? Probably, you will find me in the gym, hanging out with friends traveling or snowboarding in the winter.

Basic Information
Email:
iliaspapastrat@gmail.com
Phone:
+30 6984589122
Address:
Thessaloniki, Greece
Language:
Greek, English
Professional Skills
Python
85%
C++
75%
Computer vision
70%
Deep Learning
80%
MLOPS
75%
Matlab
70%
PyTorch
80%
Tensorflow
80%
Portfolio
Work Experience

March 2022 - Present

Research and Informatics Corps C Army Corps
IT Coordinator

  • Maintenance and administration of local network with Windows Server 2016 and about 200 Windows 7/10 clients
  • Management of Domain server, File server and Active Directory
  • Installation and configuration active equipment (switches, routers, computers)

October 2018 - February 2022

Centre for Research and Technology Hellas – CERTH
Machine Learning Researcher

Deep learning applications with video and image recognition

  • Epikoinono – Android Application development for the conversion of Greek sign language into written and spoken language using deep neural networks
  • QCONPASS - Dynamic Quality CONtrol on Production lines using Intelligent AutonomouS vehicleS with object recognition system
Involved Technologies: Python, PyTorch, Tensorflow, OpenCV, Docker, Java, Linux

February 2018 - July 2018

Aalto University
Research Associate

Co-design of control and communication protocols in Wireless Networked Control Systems Control and navigation of quadrotor aerial vehicle using Ultra Wide Band positioning system
Involved Technologies: C++, Python, ROS, Matlab

Education

2020 - 2022

Master's Degree
MSc on Digital Media and Computational Intelligence

School of Informatics, Aristotle University of Thessaloniki

Main courses: Signal processing, computational vision, computational intelligence, graphics, bioinformatics and robotics.

Thesis: Intrinsically disordered protein prediction for genomes and metagenomes. The main goal of the thesis was to predict intrinsic disorder using machine and deep learning networks and employ prediction methods on metagenomic data.

2012 - 2018

Master's Degree
MEng in Electrical Engineering and Computer Science

University of Computer Science

Thesis: Navigation of autonomous four-wheeled robot using Computer Vision techniques

Projects

  • Computational Geometry: Skeleton extraction of 3D object by Mesh Contraction, 1D Skeleton Extraction
  • Design and Simulation of 4 DOF Robotic arm manipulator: Forward and Inverse Kinematics, Dynamics, Control and Path Planning using Matlab and Robotics Toolbox
  • Differential wheeled robot car programming using Accelerometer, Gyroscope and Ultrasonic sensors. Tasks: Control, Path planning and Obstacle Avoidance

Publications
generated by bibbase.org
  2023 (2)
Multi-Manifold Attention for Vision Transformers. Konstantinidis, D.; Papastratis, I.; Dimitropoulos, K.; and Daras, P. IEEE Access, 11: 123433–123444. 2023.
Multi-Manifold Attention for Vision Transformers [link]Paper   doi   link   bibtex  
Sign Language Communication Through an Interactive Mobile Application. Stergioulas, A.; Chatzikonstantinou, C.; Chatzis, T.; Papastratis, I.; Konstantinidis, D.; Dimitropoulos, K.; Atzakas, K.; Xydopoulos, G. J.; Zacharopoulou, V.; Papazachariou, D.; Aggelidis, V.; Grigoriadis, K.; and Daras, P. In Stephanidis, C.; Antona, M.; Ntoa, S.; and Salvendy, G., editor(s), HCI International 2023 Posters - 25th International Conference on Human-Computer Interaction, HCII 2023, Copenhagen, Denmark, July 23-28, 2023, Proceedings, Part II, volume 1833, of Communications in Computer and Information Science, pages 374–381, 2023. Springer
Sign Language Communication Through an Interactive Mobile Application [link]Paper   doi   link   bibtex  
  2022 (2)
A Comprehensive Study on Deep Learning-Based Methods for Sign Language Recognition. Adaloglou, N.; Chatzis, T.; Papastratis, I.; Stergioulas, A.; Papadopoulos, G. T.; Zacharopoulou, V.; Xydopoulos, G. J.; Atzakas, K.; Papazachariou, D.; and Daras, P. IEEE Trans. Multim., 24: 1750–1762. 2022.
A Comprehensive Study on Deep Learning-Based Methods for Sign Language Recognition [link]Paper   doi   link   bibtex  
Multi-manifold Attention for Vision Transformers. Konstantinidis, D.; Papastratis, I.; Dimitropoulos, K.; and Daras, P. CoRR, abs/2207.08569. 2022.
Multi-manifold Attention for Vision Transformers [link]Paper   doi   link   bibtex  
  2021 (3)
Continuous Sign Language Recognition through a Context-Aware Generative Adversarial Network. Papastratis, I.; Dimitropoulos, K.; and Daras, P. Sensors, 21(7): 2437. 2021.
Continuous Sign Language Recognition through a Context-Aware Generative Adversarial Network [link]Paper   doi   link   bibtex  
Artificial Intelligence Technologies for Sign Language. Papastratis, I.; Chatzikonstantinou, C.; Konstantinidis, D.; Dimitropoulos, K.; and Daras, P. Sensors, 21(17): 5843. 2021.
Artificial Intelligence Technologies for Sign Language [link]Paper   doi   link   bibtex  
Ablation study of self-supervised learning for image classification. Papastratis, I. CoRR, abs/2112.02297. 2021.
Ablation study of self-supervised learning for image classification [link]Paper   link   bibtex  
  2020 (4)
Continuous Sign Language Recognition Through Cross-Modal Alignment of Video and Text Embeddings in a Joint-Latent Space. Papastratis, I.; Dimitropoulos, K.; Konstantinidis, D.; and Daras, P. IEEE Access, 8: 91170–91180. 2020.
Continuous Sign Language Recognition Through Cross-Modal Alignment of Video and Text Embeddings in a Joint-Latent Space [link]Paper   doi   link   bibtex  
The Greek Sign Language (GSL) Dataset (Version 1). Papastratis, I.; Adaloglou, N.; Stergioulas, A.; Chatzis, T.; Papadopoulos, G. T.; Zacharopoulou, V.; Xydopoulos, G. J.; Atzakas, K.; Papazachariou, D.; Dimitropoulos, K.; and Daras, P. ˘rlhttps://doi.org/10.5281/zenodo.3941811, July 2020. Accessed on YYYY-MM-DD.
The Greek Sign Language (GSL) Dataset (Version 1) [link]Paper   doi   link   bibtex  
The Greek Sign Language (GSL) Dataset (Version 2). Papastratis, I.; Adaloglou, N.; Stergioulas, A.; Chatzis, T.; Papadopoulos, G. T.; Zacharopoulou, V.; Xydopoulos, G. J.; Atzakas, K.; Papazachariou, D.; Dimitropoulos, K.; and Daras, P. ˘rlhttps://doi.org/10.5281/zenodo.4756317, July 2020. Accessed on YYYY-MM-DD.
The Greek Sign Language (GSL) Dataset (Version 2) [link]Paper   doi   link   bibtex  
A Comprehensive Study on Sign Language Recognition Methods. Adaloglou, N.; Chatzis, T.; Papastratis, I.; Stergioulas, A.; Papadopoulos, G. T.; Zacharopoulou, V.; Xydopoulos, G. J.; Atzakas, K.; Papazachariou, D.; and Daras, P. CoRR, abs/2007.12530. 2020.
A Comprehensive Study on Sign Language Recognition Methods [link]Paper   link   bibtex  
Contact Me
Feel free to contact me

Address

Thessaloniki, Greece

Phone

+30 6984589122

Email

iliaspapastrat@gmail.com