SUMMARY
AI engineer, PhD in Computer Science, having important experience of working on various research and development projects, in charge of DATALAB, an innovation platform of ESTIA on AI applied to agriculture, health, and industry. Academic director and lecturer of the MSc BIHAR, Big Data & AI, which has been running at ESTIA since 2020, Evgeniya has more than 10 years of experience in teaching, supervising students’ projects, and academic management in higher education.
MOST RECENT WORK EXPERIENCE
- AI Engineer / Academic Director • 2020 – nowadays • ESTIA (Bidart, France)
- Head of DATALAB: initiating and conducting projects in the field of AI applied to agriculture, healthcare, and industry. Current projects: o Deep Farm (European funding): development of a generic platform for data fusion (IoT, images from drones and satellites), analysis (disease detection, watering optimization, etc.), and presentation, based on pilot farms in Turkey (olives), Madagascar (rice), Ivory Coast (cocoa), Haiti (strawberries and mangoes), and Dominican Republic (bananas). o Healthcare: analysis of health insurance data (antibiotic prescriptions, etc.) with Oracle France.
- Academic Director of the MSc BIHAR, Big Data & AI: o Curriculum management and continuous improvement, o Giving lectures and supervising projects on ML/DL, software development, and MLOps, supervising students’ final projects and internships, o Realizing specific training modules on AI, such as AI applied to healthcare (HealthTEK project) o Working on new specializations on the applied AI (agriculture, healthcare) in the framework of European collaborative projects
ALL WORK EXPERIENCE
- CEO • 2018-2022 • Datum Academy (Bidart, France) • Strategic development and operational management of an EduTech company offering online degrees in AI and Big Data field.
- Assistant Professor / Engineer • 2016-2018 • MINES ParisTech, Research center on Renewable Energy and Energy Systems (Sophia Antipolis, France) • SEAS (Smart Energy Aware Systems): integration of forecasting tools for electricity demand and photovoltaic production; • SENSIBLE (Storage-ENabled SustaInable for BuiLdings and communitiEs) : implementation and integration of different advanced forecasting tools for buildings and distribution networks; • REStable (Improvement of Renewables-based System Services Through Better Interaction of European Control Zones): simulation of prediction errors in wind and photovoltaic production. • MOSAIC (with ENEDIS): Development of an electricity consumption simulation tool.
- Assistant Professor in Computer Science • 2007-2016 • Astrakhan State University (Russia) • Lecturer: database management, software development, web development, data mining, business intelligence. • Working on European projects (Tempus, Erasmus+) on development of training programs in Computer Science. • Academic management of a Master program in Computer Science delocalized from University of Nice Sophia Antipolis.
- Software Engineer • 2004-2016 • Astrakhan State University (Russia) • Vice-director of e-learning department • Development of a learning management system • Academic management of training programs
EDUCATION
2012 PhD in Computer Science, “Situational management of web services based on contextual heuristics”, Astrakhan State University, Russia 2007 Master’s in Computer Science “Mobiquity, database, and system integration”, University of Nice Sophia Antipolis, France 2014 Master’s in Information technologies applied to Handicap, University Paris-8, France 2006 Engineer in Computer Science “Automated information processing and control systems”, Astrakhan State Technical University, Russia