M3AT: Monitoring Agents Assignment Model for Data-Intensive Applications. - Vladislav Kashansky; Dragi Kimovski; Radu Prodan; Prateek Agrawal; Fabrizio Marozzo; Gabriel Iuhasz; Marek Justyna; Javier García-Blas (PDP, 2020)

The ADAPT Project: Adaptive and Autonomous Data Performance Connectivity and Decentralized Transport Network. - Vladislav Kashansky; Nishant Saurabh; Radu Prodan; Aso Validi; Cristina Olaverri-Monreal; Renate Burian; Gerhard Burian; Dimo Hirsch; Yisheng Lv; Fei-Yue Wang 001; Hai Zuhge (GoodIT, 2021)

Monte Carlo Approach to the Computational Capacities Analysis of the Computing Continuum. - Vladislav Kashansky; Gleb I. Radchenko; Radu Prodan (ICCS (1), 2021)

Monitoring system architecture for the multi-scale blockchain-based logistic network. - Vladislav Kashansky; Radu Prodan; Aso Validi; Cristina Olaverri-Monreal; Gleb I. Radchenko (UCC Companion, 2021)

Hybrid On/Off Blockchain Approach for Vehicle Data Management, Processing and Visualization Exemplified by the ADAPT Platform. - Aso Validi; Vladislav Kashansky; Jihed Khiari; Hamid Hadian; Radu Prodan; Juanjuan Li; Fei-Yue Wang 001; Cristina Olaverri-Monreal (ITSC, 2022)

Intelligent and Sustainable Transportation through Multi-Objective Model for the Logistic Route-Order Dispatching System. - Vladislav Kashansky; Sara Agha Hossein Kashani; Hai Zhuge; Javier García Blas; Fabrizio Marozzo (GoodIT, 2023)

An Innovative Control Approach for Cyber-Physical Transportation Systems: The Case of Monte-Carlo Workflow Computations. - Vladislav Kashansky; Sara Agha Hossein Kashani; Javier García Blas; Fabrizio Marozzo; Hai Zhuge; Xiaoping Sun (PDP, 2024)