XMANAI partner spotlight - UBITECH
Q: What is your organization’s role in XMANAI?
A: UBITECH is the main integrator partner of the project, leading the activities of the XMANAI Platform Continuous Integration (WP5) towards the delivery of the XMANAI integrated platform. Hence, UBITECH leads the efforts for the platform core backbone infrastructure integration and development, as well as the platform’s AI services continuous integration, while also actively contributing to the platform’s architecture definition, technical verification, and integration testing.
In addition to this, UBITECH is responsible for the security, privacy, and increase of trust features of the XMANAI platform by leading the design and implementation of the Platform Management Services. Finally, UBITECH is involved in various requirements definition activities, as well as the design and implementation of the on-premise execution of the AI pipelines and the results visualization features of the platform.
Q: How does XMANAI relate to your or your team’s background and interests?
A: UBITECH is engaged in developing, integrating, deploying, demonstrating, and evaluating diverse innovative technologies, utilities, features, and processes, leveraging state-of-the-art tools and techniques in order to deliver breakthrough solutions to end-user’s demands. UBITECH’s R&D team has extensive experience in the design, implementation, and delivery of data processing, data sharing, and data analysis platforms that address business needs through the extraction of valuable knowledge and added value, the reveal of trends and hidden patterns or correlations that will facilitate the prediction and decision making. In this sense, the team is highly interested in the explainability aspects of AI that constitute an emerging and valuable approach in the AI research area.
Q: What is the novelty of XMANAI and the main benefits envisaged for your organization?
A: XMANAI aims to design and implement a novel Explainable AI Platform powered by explainable AI models that inspire trust, augment human cognition, and solve concrete manufacturing problems with value-based explanations.
UBITECH is continuously seeking and validating new, emerging technologies, developing new ideas, concepts, and solutions, and improving existing software applications and products for vertical markets or for addressing specific end-user’s needs. Through its participation in XMANAI, UBITECH aspires to reinforce its solutions portfolio through the offering of innovative and specialized applications and services not yet present in the market or through the expansion and optimization of its current services and prototypes in the areas of Factories of the Future, e-maintenance, Industrial IoT and Artificial Intelligence.
Q: Which target groups can benefit from XMANAI?
A: XMANAI facilitates the exploitation of the state of art AI technologies and tools towards the resolution of critical manufacturing problems with the help of concrete, human-understandable and explainable insights of how the predictions and decisions were made. XMANAI aims to facilitating the core stakeholders of small and large factories and industrial customers (such as data scientists, data engineers, and business users) to perform valuable analysis toward effective decision-making, a decrease of costs, and assurance of business continuity.
Q: As the main integrator partner of the project, how do you envision the XMANAI progress beyond the state of the art?
A: XMANAI will effectively and smoothly integrate different innovative technologies and tools in order to provide to the stakeholders of the platform a complete list of novel functionalities and features in the areas of data sharing and explainable AI. The novelty of XMANAI resides in the explainability of the results produced by the executed ML models in an understandable and explainable manner. To meet its goals, XMANAI will deliver “glass box” AI models which provide valuable insights and explanations to the human users of the platform with regard to how and why a decision has been made.
Name: Konstantinos Perakis
Job title: Head of Data Science and Analytics R&D Unit
Bio: Dr. Konstantinos Perakis was born in Athens, Greece in 1979. He received his diploma in Electrical & Computer Engineering from the National Technical University of Athens in October 2003. He received his M.Sc. in Techno-Economical Systems in 2005 and his Ph.D degree in Medical Informatics in 2009. Since 2004 he has prepared numerous European proposals and has evaluated 3rd party proposals prior to their submission to the Commission, and has been active in a number of European and National R&D programs, through which he has gained considerable experience in the field of e-Health and m-Health, Cloud Computing & Cloud interoperability, Big Data, Data Analytics and Mining and Security. He has served as a Scientific and Technical coordinator in national projects, as well as a reviewer for R&D projects for the European Commission. Dr. Perakis has excellent communication and mediation skills, and the ability to deal well with people in many different contexts, which he has gained through his participation in multi-national consortia within the context of European projects. He has published more than 20 scientific papers in international journals and conferences as well as two book chapters, all in the field of Information and Telecommunications Technologies, and has served as reviewer and chairman in international journals and conferences.
Name: Dimitris Miltiadou
Job title: Delivery Manager
Bio: Dimitrios Miltiadou was born in Athens, Greece, in 1984. He received his B.Sc from the Department of Informatics and Telecommunications of the National and Kapodistrian University of Athens at 2010. His thesis was in the area of Voice over IP (VoIP) and in particular the security threats and vulnerabilities of VoIP solutions. In 2012, he received his Master of Business Administration degree from Athens University of Economics and Business. He has worked from 2006 till 2017 as a Senior Software Engineer in Unify Software and Solutions GmbH & Co. KG (an ATOS SE company and formerly Siemens Enterprise Communications) involved in enterprise VoIP communications products and a WebRTC based team communication and collaboration cloud service for enterprises. Currently at UBITECH he is a member of the Data Science and Analytics R&D Unit under the role of the delivery manager. He is involved in several European R&D programs under the H2020 and Horizon schemes, across various sectors such as Cloud services and deployments, Big Data, Data Science, Artificial Intelligence, Machine Learning, IoT, Maritime, e-Health, Public Safety, Aviation and Aerospace, Energy, Smart Manufacturing, FinTech. Some indicative successfully completed projects where he was engaged include AEGIS, BigDataOcean and ICARUS while the ASCAPE, INFINITECH, XMANAI, SYNERGY are indicative projects that are still in progress.
Name: Stamatis Pitsios
Job title: Technical Team Leader
Bio: Stamatis Pitsios, Big Data R&D Engineer, Technical Team Leader
Stamatis was born in Athens, Greece 1992. He graduated in 2015 from the department of Computer Science of Athens University of Economics and Business with distinctions. In 2015, he started his M.Sc. in Business Analytics in the same institution and he graduated in 2018 with honors as the first in class. His diploma thesis was about applied machine learning for house numbers recognition which was held in cooperation with Athena Research and Innovation Center. Stamatis has worked as a Software Engineer and Data Analyst for both commercial and research projects in various fields, such as fintech, telecommunications and retail. During the last six years, Stamatis is a member of the Big Data Data Science and Analytics unit of UBITECH with the role of Big Data R&D Engineer. His main activity is the full participation in European or national co-funded research projects, in which his is responsible for researching and applying state-of-the-art (Big) Data or ML/DL oriented solutions to address specific needs in various domains such as, health, public safety, maritime, aviation, aerospace, fintech and manufacturing. Some indicative, successfully completed projects include AEGIS, BigDataOcean, ICARUS and ENDORSE and some ongoing ones are ASCAPE, INFINITECH, XMANAI, SYNERGY and STAR. His is also responsible for bringing mature enough Data-related technologies that came up during the research process, to the company’s commercial projects. Finally, as a technical team leader, Stamatis is coordinating, guiding and mentoring a sub-group of four technical persons with various profiles, such as Software and Data Engineers and Data Scientists. His main interests include Big Data Systems and Storage Solutions, end-to-end Data Pipelines, Anonymization and Visualization.