In this project, a blockchain based Token Rental system will be developed using Solidity smart contracts. The users will be able to (i) post token rental intervals (ii) search/explore posted token intervals and (iii) bid for token rental intervals. A web interface will also be developed for the rental system. The system will be deployed and tested on test chains of Avalanche, Polygon Matic , Binance Smart Chain and Hedera which support Solidity smart contracts.
We have been working mostly on behavioral analysis from wearables using machine learning and deep learning techniques. So far, we have applied our algorithms by not considering the personal effects on the results. This project will focus on personalizing the gathered results by applying transfer learning techniques.
In this project, tools will be developed that will collect and analyze transactions from the widely used Decentralized Exchange (DEX) smart contracts on major blockchains (such as Ethereum, Polygon Matic, Hedera, Avalanche and Binance Smart Chain). The project will develop (i) python based and (ii) web based tools that retrieve and extract transaction data and analyze it by forming transaction graphs.
Graph partitioning algorithms partition a graph into equal sized subgraphs (in terms of nodes) in such a way that the the number of edges cut is minimized. In the more general problem, edges can also have weights. In this project, you will develop a parallel software for spectral graph partitioning.
The aim of this project is to build a desktop tool to be used to analyse and visualize Turkish maqam music pieces. This is an engineering project, it does not involve any research. The skills required are python and docker.
