Theoretical Framework of Multi-objective Simulation-Based Genetic Algorithm for Supply Chain Cyclic Planning and Optimisation. - Liana Napalkova; Galina Merkuryeva (UKSim, 2008)

Hybridisation of Evolutionary Algorithms for Solving Multi-Objective Simulation Optimisation Problems. - Liana Napalkova (Sci. J. Riga Tech. Univ. Ser. Comput. Sci., 2009)

Two-phase simulation optimisation algorithm with applications to multi-echelon cyclic planning. - Galina Merkuryeva; Liana Napalkova (Int. J. Simul. Process. Model., 2010)

Technical Realization of the Optimal Motion Planning Method for Minimally Invasive Surgery. - Jan Nikodem; George Hwang; Jerzy W. Rozenblit; Liana Napalkova (ECBS, 2012)

The computer assisted surgical trainer: design, models, and implementation. - Jerzy W. Rozenblit; Chuan Feng; Mario Riojas; Liana Napalkova; Allan J. Hamilton; Minsik Hong; Pierre Berthet-Rayne; Piotr Czapiewski; George Hwang; Jan Nikodem; Akash Shankaran; Aakarsh Rao (SummerSim, 2014)

An optimal motion planning method for computer-assisted surgical training. - Liana Napalkova; Jerzy W. Rozenblit; George Hwang; Allan J. Hamilton; Liana Suantak (Appl. Soft Comput., 2014)

Big Data-Driven Platform for Cross-Media Monitoring. - Liana Napalkova; Pablo Aragón; Juan Carlos Castro Robles (DSAA, 2018)

A unified knowledge compiler to provide support the scientific community. - Alberto Fernández-Isabel; Juan Carlos Prieto 002; Felipe Ortega; Isaac Martín de Diego; Javier M. Moguerza; José Mena; Sara Galindo; Liana Napalkova (Knowl. Based Syst., 2018)