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.
Founder & Senior Research EngineerPhD (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.
Founder & Senior Research EngineerPhD (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.
Senior Research EngineerPhD (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.
Senior Software EngineerMSc (University of Edinburgh, 2007) in Informatics. Software engineering experience in various countries, industries and roles. Graduate developer at Ericsson UK, JEE developer at JPMorgan, London, senior SW eng. 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. Interests in functional, domain driven design, big data and machine learning.
HR & Office AdministratorBa Hons (Manchester Metropolitan University, 2017) International Business & Marketing. Dissertation in “Developing a Digital Business”. Work experience in Marketing & Business Administration for companies in Greece and the UK. Business Administration Research Assistant (Manchester Metropolitan University, 2016) supporting Ph.D students in research, surveys and analysing data. Organically growing a career experience in the digital solutions market and the management of niche firms.
Machine Learning EngineerElectrical & 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.
Machine Learning ResearcherMSc (Technical University of Crete, Chania, Greece, 2012) in “Convex Optimization Methods for Machine Learning” and PhD candidate (expected to graduate in 2019) in the field of “Statistical Learning Theory” with PhD dissertation title “On Clustering, Classification and Dictionary Learning: A theoretical revisit of robust k-means, nearest neighbor classification, and dictionary learning with Moreau envelopes”. The research focuses primarily upon statistical aspects of pattern recognition, and to a lesser extent, clustering. Highly interested in statistics, machine learning, and non-linear optimization.
Machine Learning EngineerMathematical background at the National Kapodistrial Univ. of Athens (2007) in Mathematics, specialized in Statistics and Operational Research; MSc at the Athens Univ. of Economics and Business, (AUEB, 2010) in Statistics. Computer Science Degree (AUEB, 2017) with thesis entitled “Recurrent Neural Networks for Profanity Detection in online comments”. Working experience as Machine Learning/Big Data Engineer in Natural Language Processing.
ML Engineer, NTUA Research InternElectrical & 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.
ML EngineerMSc (University of Edinburgh, 2019) in Artificial Intelligence. Masters dissertation on Spatio-Temporal Forecasting with Convolutional LSTM architectures. Background in Mathematics and Physics (joint honours BSc) from the University of Glasgow. ICML 2019
AdvisorPhD (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.