Our particular interest is Ethereum based tokens (ERC).  Analaysing Ethereum transactions and finding out the number of different tokens per block. Identifying incentivise transactions and other interesting facts such as congestion in the network by identifying transaction delay and correlating with real life incidents. And investigate the any kind of patterns in the transaction for some particular patters so the we can predict future fate for some tokens.

The student must have taken the Big data framework course and motivated to the take the challenges. This thesis will be supervised by me, and Prof. Sasu Tarkoma.