Inga is a member of the Estonian Bar Association since 2009 and she has specialized in business law and counselling of companies in their daily business operations. Inga has extensive experience in advising international business operations and transactions, planning of investments and managing shareholders relations, also business agreements with co-operations partners and regulatory aspects of applicable laws. Her focus is to help the business to succeed and accelerate the development of the company at its fullest.
Petre Lameski has finished his university studies with the highest honor, obtaining a Ph.D. in Computer Science. He has over 11 years of experience working in both Academia and Industry. His current Academic position is Assistant professor at the Ss Cyril and Methodius University in Skopje, Faculty of Computer Science and Engineering in North Macedonia. He has participated and managed many projects in the areas of Applied Machine Learning, Image and Video Processing, Big Data and Data Analytics for the Agricultural Industry, Medical Applications Industry, Video streaming industry, Photography industry, Robotics Industry, etc. He has also led and participated in several National and European research projects. He has received awards in several research competitions in the areas of Image Processing and Robotics and has received several research grants. He is passionate about discovering new ways that data can be used to improve our lives and he is always hungry for new challenges.
Eftim Zdravevski (PhD in Computer Science 2017, MSc in Computer Science 2010, Dipl. Eng. 2008) is an Assistant Professor at the Faculty of Computer Science and Engineering of the Sts Cyril and Methodius University in Skopje, North Macedonia, where he works since 2010. During his research career, he has published over 60 papers in international conferences and top ranked journals, including PLoS ONE, IEEE Access and MDPI Sensors. He has participated or lead national and international research projects related to time series analytics, feature engineering and selection, and application of ML for activity recognition. His active fields of research interests are: Big Data, machine learning, data mining, cloud computing, knowledge-based systems, decision support systems, time series analysis and forecasting, parallel algorithms, etc.