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KTU Big Data School 2020

KTU Big Data School is an international event focused on the development of knowledge and skills in the field of big data of scientists and experts from business. The event brings together the best specialists from all over Europe to share their experience with Lithuanian students and professionals.

About KTU Big Data School

KTU Big Data School 2020 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.

KTU Big Data School 2020 has received partial funding from the European Union’s Horizon 2020 research and innovation program “FIN-TECH: A Financial supervision and Technology compliance training programme” under the grant agreement No 825215 (Topic: ICT-35-2018, Type of action: CSA)

 

Lecturers:

Dr. Michael Fairbank (University of Essex, UK)
Short-bio: Dr 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. Ronald Hochreiter (WU Vienna University of Economics and Business, Austria)
Short Bio:  Algorithmic Finance. Computational Finance. Quantitative Finance. Analytics in Banking and Finance. Risk Management. Optimization under Uncertainty and Decision Science. Data Science and Machine Intelligence (Machine Learning and Deep Learning). AI.

Registration

Registration will be opened from May 25th.
Registration fees:
1. From May 25th to July 19th: fee 350 euros;
2. From July 20th to Augus 9th: fee 450 euros;
3. From August 10th to September 15th: fee 500 Euros

Topics

  • Recurrent neural network and their application;
  • Time Series Classification and Clustering;
  • Big Data Science and Artificial Intelligence in Banking and Finance;

Lecturers

Dr. Michael Fairbank (University of Essex, UK)
Dr. Wannes Meert (KU Leuven, Belgium)
Dr. Ronald Hochreiter (WU Vienna University of Economics and Business, Austria)

Dates

Registration: from May 25th to September 15th
KTU Big Data School event: September 30 – October 2, 2020.

Cancellation Policy

Cancellations received before September 20, 2020 will receive a 50% refund. No refund will be granted for cancellations received after September 20, 2020.

Venue

The school will take place at KTU Santaka Valley (address: K. Baršausko st. 59, Kaunas, Lithuania).

KTU Santaka Valley is one of the largest research and business centres in Lithuania. The centre is open for Lithuanian and foreign research and educational institutions as well as business representatives.

Local Committee

General Chairperson: Dr. Bronė Narkevičienė
Executive Chairperson: Dr. Tomas Iešmantas
Executive Vice-Chairperson: Dr. Paulius Palevičius
Coordinator: Alina Kotkevičienė

Members:

Dr. Lina Dindienė
Dr. Mindaugas Kavaliauskas
Dr. Kęstutis Lukšys
Dr. Daiva Petkevičiūtė-Gerlach
Miglė Drūlytė
Gabija Valiukienė

Contacts

Further information can be obtained by e-mail or phone.

Organizing Committee
Kaunas University of Technology
Faculty of Mathematics and Natural Science
Studentų st. 50–217
LT-51368 Kaunas
Lithuania
Phone: +370 37 300301
E-mail: bigdata.school@ktu.lt

Partners

Naujienos

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