KTU Big Data School 2023 is both theoretical and practical scientific event aiming at updating participants about the most recent advances in the critical and fast developing area of big data, which covers topics such as big data and financial analytics, machine learning, big data processing, etc.
The event is concentrated towards deep theoretical background and improving skills during practical workshops.
The event will take place at Kaunas University of technology and is organized by the Faculty of Mathematics and Natural Sciences. The sessions will be held at KTU Technology and Business Centre Santaka Valley.
There will be three sessions given by different experienced speakers involving lectures and practical tasks.
The event is addressed to Industry practitioners, Scientists, PhD students, postdocs and Master students.
Dr. Michael Fairbank
Short-bio: Michael Fairbank is a Computer Science lecturer at the University of Essex, UK. He is an active machine-learning researcher, with publications in reinforcement learning, deep learning and neural networks. In his previous careers he worked as a computer consultant and as a mathematics teacher. He has a passion for all things related to computing, mathematics and AI.
Dr. Wannes Meert (KU Leuven, Belgium)
Short Bio: Wannes Meert received his degrees of Master of Electrotechnical Engineering, Micro-electronics (2005), Master of Artificial Intelligence (2006) and Ph.D. in Computer Science (2011) from KU Leuven. He is currently research manager in the DTAI research group at KU Leuven. His work is focused on applying machine learning, artificial intelligence and anomaly.
Dr. Mindaugas Kavaliauskas (KTU FMNS, Lithuania)
Short Bio: Mindaugas Kavaliauskas received his degree of Ph.D. in Mathematics (2005). He is currently associate professor at KTU. He is giving lectures on mathematical statistics, time series analysis, and data mining. His fields of scientific interests are multivariate data analysis, statistical models, applied mathematics, and machine learning.
Representatives of the companies:
Edita Lukaševičiūtė, Viktorija Grybauskaitė (Bank of Lithuania): Big Data and Central Banks: from data governance to enhancing financial stability assessments
Agnė Reklaitė (Vinted): Experimentation at scale