Our Team

It’s (also) all about team-work. The three of us, Stavros, Vassilis and Nassos,  we know each other for more than a decade. We have worked together in between either during our PhDs and/or as post-doctoral researchers, or for product development. We have more than 10 years of working and research experience in either EU, Greek national, US funded projects, and more than 70 publications in peer reviewed scientific international journals and top research conferences, where we also offer our services as peer reviewers.  We had partners in research projects across several universities, and institutions. We consider the chemistry between all team members  to be a natural ingredient that composes  an inspiring collaborative working environment; this is the vehicle for succesfull work in both industrial and scientific challenging frameworks.

Stavros
Theodorakis

Founder & Senior Research Engineer

PhD (NTUA, 2014) in machine learning and computer vision. Served as research assistant in various EU projects (FP6/7, H2020). Strong research and working experience in a variety of applications in the areas of speech recognition, natural language processing, recommender systems and computer vision, applying state-of-the-art machine learning technologies. Interests in artificial intelligence: machine learning, deep learning, signal processing and reinforcement learning.

Vassilis
Pitsikalis

Founder & Senior Research Engineer

PhD (NTUA, 2007) in signal processing and automatic speech recognition. Served as post-doctoral research associate with long experience in EU research projects (FP6/7, H2020). Interests and work span a variety of artificial intelligence, human-computer interaction and data analytics areas, especially targeting machine learning. Indicative applications include multimodal gesture and action recognition, multimodal fusion, language processing and automatic sign language recognition.

Eleni
Sgouritsa

Senior Research Engineer

PhD (Max Planck Institute for Intelligent Systems, Tübingen, Germany, 2015) in the field of causal inference and machine learning, developing methods for inferring causal relations from observational data. Worked as a research assistant at the Computational Biomedicine Lab of the University of Houston in collaboration with Siemens Corporate Research. Research scientist at Signal Ocean, involved in truth discovery and time series analysis projects applied to data from the shipping domain.

Nikos
Athanasiou

Junior ML Engineer

Dipl. of Eng. (NTUA, 2017) 5-year degree in Computer Engineering and Research Assistant in the Research and Innovation Center ATHENA.  Strong programming skills and theoretical background in probability theory, machine learning, deep learning. Diploma thesis is in exploring semantic properties of word mapping in brain using machine learning; applications include FMRI data, speech, text and image recognition/feature extraction.

Marios
Bartzokas

Senior Software Engineer

MSc (University of Edinburgh, 2007) in Informatics. Broad software engineering experience in various countries, industries and roles. Graduate developer at Ericsson UK, JEE developer at JPMorgan, London, senior software engineer at Velti and Atypon, Greece, backend developer and data scientist at King, Spain. Specialized in JVM languages and agile development, building high volume and mission critical systems. Strong interest in functional and reactive programming, domain driven design, big data and machine learning.

Christos
Rountos

Machine Learning Engineer

Electrical & Computer Engineering degree (AUTH, 2017). Master-thesis in Computer Vision and Deep Learning with title “Localization and Recognition of Foods from Images using Convolutional Neural Networks” in cooperation with the Multimedia Understanding Group of Electrical & Computer Engineering School of AUTH. 6-month internship experience in Toulouse (FR) implementing Computer Vision and Deep Learning techniques. Highly interested in Artificial Intelligence and Robotics combined with Machine Learning.

Konstantinos
Paliouras

Senior Machine Learning Engineer

MSc (University of Crete, 2014) in Computer Vision and Robotics. Experienced software developer and engineer on C++, Python, as well as web technologies, with applications in both industrial and academic fields. Has focused on machine learning problems including anomaly detection, fraud detection, recommendation systems, and information extraction on domains such as computer vision, cyber security and human resources. Notable roles include MSc research assistant at FORTH (forth.gr), lead software architect for flagship product at Encode, and senior machine learning engineer at Workable. An open-source enthusiast with passion for computer graphics and game programming.

Petros
Katsileros

Machine Learning Engineer

Electrical & Computer Engineering degree, Aristotle University of Thessaloniki. Diploma thesis in Computer Vision and Pattern Recognition. Specialized in Computer Vision, Machine Learning and Software Engineering. Research and working experience as a member of University Research Teams, Fieldscale Electromagnetic Simulations company and personal projects. Highly interested in Artificial Intelligence, Computer Vision, Investing & Algorithmic Trading.

Nikos
Ganatsios

ML Engineer, NTUA Research Intern

Electrical & Computer Engineering 5-year degree (NTUA, 2017). Master thesis was about segmentation and classification of fine-grained actions in videos. Nikos has also worked for 1.5 year as an Artificial Intelligence engineer in METIS Cybertechnology, developing Natural Language Processing systems for a commercial chatbot. Interested in fusion of both visual and linguistic cues for rich multimodal representation, perception and understanding.

Nassos
Katsamanis

Advisor

PhD (NTUA, 2008) in speech processing and recognition. Post-doctoral research in various European, U.S., and Greek research projects in data analytics and machine learning. His work has been published in international journals and conferences and has received more than 900 citations (h-index: 18, Google Scholar). Research interests lie in the recognition and interpretation of human behavior based on multimodal observations and artificial intelligence algorithms, namely behavioral informatics.