● Efficient machine learning methods for the analysis of multivariate time series, including distributed or model-based combination. ● Worked on Human Activity Prediction (HAP) using data from environmental and wearable sensors. ● Applied baseline models (Random Forest, LSTM) and proposed a multiview Random Forest ensemble that outperformed them. ● Developed also an incremental learning version of such model.

● Developed smart contracts for tokenizing real world assets with KYC gating; optimized ERC721Psi.

● Designed ERC20 token with dynamic transaction fees and related ERC1155 for Edrive project.

● Created infrastructure for decentralized remote work using blockchain and AI. ● Built factory contracts and APIs to mediate client-expert-professional relationships.