Nikos Ellinas is a senior researcher in the field of Artificial Intelligence (AI) with over 7
years of experience in the field. He has graduated the School of Electrical and Computer
Engineering (ECE) of the National Technical University of Athens, where he also worked
as a postgraduate research assistant on topics such as deep learning and speech and
natural language processing. He has published over 20 articles in top-tier conferences and
journals in the field of AI and has taught several undergraduate courses in the School of
ECE as well as in the Department of Computer Systems Engineering of Piraeus University
of Applied Sciences. Nowadays, he works as a machine learning engineer in Samsung
Electronics. He belongs to the research team of Innoetics where he has been developing
state-of-the-art algorithm for speech recognition and text-to-speech synthesis. His primary
interests consist of: modeling style and emotion in human speech, text-to-speech
synthesis in multiple languages, uncovering latent speech representations and their
properties, adapting models in low-resource scenarios, as well as developing natural
language processing methods for various applications. He has extensive experience in
multiple programming languages and frameworks specialized for deep learning, and he is
up to date with cutting-edge technological developments by participating in scientific
conferences and reading publications. Apart from his technical skills, he continuously
strives to act as a mentor for his colleagues and leads the whole team forward at a
technological and research level.
AI and speech technologies: How research in Greece becomes a global product.
Product research is the process of determining how a new idea will be suitable for becoming a successful product. In this process, the various aspects that will eventually lead to customer satisfaction are examined, such as the final product’s purpose and the solutions that will be offered compared to the competitors. Investigating user needs, understanding possible demands that will occur and quickly adapting to new trends in the market are essential both in the beginning and throughout a product’s lifecycle.
Take me back to speakers!
This talk will present the story of Innoetics, a prototype research lab based in Greece. We will describe how research was developed, reached state-of-the-art level and finally transformed to a product. We will present the key milestones the startup reached until it was acquired by Samsung Electronics and also talk about the life as part of the Samsung AI Group. Finally, special reference will be made on the products we build, that are based on state-of-the-art AI research and how they reach more than 1 billion devices every year.